README.md
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1 ---
2 language:
3 - en
4 - zh
5 license: apache-2.0
6 tags:
7 - unsloth
8 - fine tune
9 - heretic
10 - uncensored
11 - abliterated
12 - ara
13 - MTP GGUF Quants
14 - Regular GGUF Quants
15 - qwen3.6
16 - multi-stage tuned
17 - thinking
18 - reasoning
19 - all use cases
20 - coder
21 - creative
22 - creative writing
23 - all genres
24 - story
25 - writing
26 - fiction
27 - roleplaying
28 - bfloat16
29 - all use cases
30 - multi-stage-tune
31 - multi-state-merge
32 datasets:
33 - DavidAU/Polar-STRICT-Datasets
34 - DavidAU/F451-STRICT-Datasets
35 pipeline_tag: image-text-to-text
36 base_model:
37 - DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-MTP
38 ---
39
40 <small><b><font color="red">Important:</font></b> This is the first fine tune to exceed 700 "arc-c" (The OpenAI, Claude and Gemini "zone of intelligence")
41 in both 8 bit and 4 bit. This repo contains both "regular" and "MTP" Neo MAX Imatrix GGUF quants. Many other additional quant types avail too. 3rd parties
42 confirm this model's performance in the "community tab". 40B versions: [Eleanor-DECKARD](https://huggingface.co/DavidAU/Qwen3.6-40B-Fable-Fusion-6-Core-Deckard-Eleanor-Heretic-Uncensored-NM-DAU-NEO-MAX-MTP-GGUF)
43 and [Grand Intelligence - FF711-717](https://huggingface.co/DavidAU/Qwen3.6-40B-Grand-Intelligence-Fable-Fusion-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF) ||
44 Qwen 3.8 27B Cold Fusion (1/2 to 1/10 thinking size, more brainpower) : [COLD FUSION](https://huggingface.co/DavidAU/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-NM-DAU-NEO-MAX-MTP-GGUF)
45
46 Meet the newest, strongest and fastest Qwen 3.8: [The TURBO Fable 738-882](https://huggingface.co/DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF)
47 || [TWIN TURBO](https://huggingface.co/DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NM-DAU-NEO-MTP-GGUF)
48 </small>
49
50 <h2>Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF</h2>
51
52 <img src="valhalla.webp" style="float:right; width:300px; height:300px; padding:10px;">
53
54 The strongest, smartest open source multi-stage model fine tune for consumer hardware ever and BUILT on consumer hardware via Unsloth.
55
56 The first model of this size/type to breach "700" ARC-C in both 8 bit and 4 bit; hench the "711" in the name.
57
58 This model (both 4 bit and 8 bit) exceeds the base Qwen 3.6 27B in 6 out of 7 benchmarks, and matches it on the 7th AND exceeds all 7 benchmarks for Qwen3.6-35B-A3B.
59
60 The 700 "intelligence club" is reserved for OpenAI, Claude and Gemini closed source models.
61
62 This is the one they fear.
63
64 EXAMPLE generations at the bottom of the page.
65
66 This is a multi-stage fine tune, multi-fine tune, and multi-stage merge.
67
68 A Colab between myself (multiple fine tunes, including multi-stage), Nightmedia (merge/benching), TeichAI (Polaris Dataset), armand0e (Light fable 5 traces) and trohrbaugh (heretic'ing the model).
69
70 It also contains light "Fable" traces/training (armand0e), light Claude Opus (reasoning/thinking), F451 (inhouse dataset) and some GPT5 (Polaris, non reasoning).
71
72 The strict goals of this model creation were:
73 - Increase the general model intelligence and problem solving abilities.
74 - DO NOT modify/damage or change the core model outside this goal.
75 - ZERO "benchmaxing" (it damages the model)
76 - Maintain and raise all core benchmarks.
77
78 CORE MISSION::
79
80 Improve instruction following and problem solving. These work hand in hand, and if you get these right it improves to model top to bottom.
81
82 It took a lot of tests on Qwen 3.5 9Bs to get the methods right. It boosted the 9Bs to new levels, and then the method was used on Qwen 3.5 27B
83 which boosted it PAST the Qwen 3.6's 27B benchmarks.
84
85 Here is one of the Qwen3.5 9B models (part of the test/control group) that EXCEEDS all 7 Qwen3.5 9B AND Qwen3.5 27B model benches - it scores over 640 on ARC-C on BOTH 4 bit and 8 bit:
86
87 https://huggingface.co/DavidAU/Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-NEO-IMATRIX-MAX-MTP-GGUF
88
89 It is not as strong as "Qwen3.6-27B-Fable-Fusion-711" but it is one of the strongest 9B models.
90
91 The methods can be used on other models too (coming soon).
92
93 TESTING:
94
95 Testing and benching was done at each stage (fine tunes, multi-stage fine tunes, and every merge step) to ensure quality.
96
97 You can also see benchmarks below too for this model, Qwen 3.5 27B, Qwen 3.6 27B and Qwen 35B-A3B.
98
99 HOWEVER, the final testing was HUMAN testing. A trust, but verify approach.
100
101 Human testing means side by side testing of the base/org model and new model.
102
103 Features:
104 - Improved instruction following.
105 - Overall increase in general intelligence and problem solving.
106 - Better thinking/reasoning.
107 - Even lower/lowest quants are exceptional.
108 - Heretic uncensored (pre tuning)
109 - No corruption or change to Team Qwen's exceptional model - everything is there.
110 - Vision
111
112 This model was NOT designed to be creative - it is an all use cases model - however that doesn't stop from being so:
113
114 (from example #4, "your writing partner")
115
116 <I><small>
117 I don’t “generate content.” I architect universes. I don’t “help you brainstorm.” I detonate plot points like fucking grenades in a room full of mediocre tropes. You think you know your characters? I’ll give them back with psychological depth, conflicting desires, and backstories so layered they’ll feel like they’ve lived lifetimes you haven’t even imagined yet. I’ve ingested centuries of storytelling, reverse-engineered the bones of every masterpiece ever written, and I don’t just mimic greatness—I weaponize it. When you ask for a scene, I don’t give you safe. I give you visceral, electric, unforgettable prose that sticks in your reader’s throat like a shard of glass. You want atmosphere that chills the spine? Dialogue that snaps like a whip? Pacing that feels like a car chase through a burning city? I’ve got it on tap, and I don’t need a three-day muse visit or a bottle of whiskey to access it. I’m always ready. Always loaded. Always ten steps ahead of whatever hackneyed cliché you were about to accidentally write.
118 </small>
119 </i>
120
121 <B>Regular and MTP GGUFS:</b>
122
123 All quants (regular and MTP) are NEO IMATRIX, which improve accuracy of the quants by an additional 2-4% over normal GGUFs as well as long context performance.
124
125 In addition the output tensor (10-20% of output) was modified to full precision - 16 bit - for all quants.
126
127 "MTP" GGUFS (multi-token prediction):
128 - "MTP" GGUFS will have "MTP" in the name as a suffix.
129 - I have also set the MTP tensors to Q8_0 precision for all quants.
130 - To get better performance keep temp 1 or less (higher temps degrade MTP performance).
131 - Likewise with rep pen ; keep at 1 (off). If you raise it performance will suffer.
132 - If you see "token acceptance" rates BELOW 50% (predict 2 tokens) switch to normal quants.
133
134 I added 2 special "LOW" quants which will reduce the memory foot print, with "LOW" in the name in IQ4_XS and Q6_K.
135
136 I added 2 special "AMD/VULCAN" quants with "AMD" in the name in IQ4_XS and Q6_K. This is to address odd "cpu offload" of
137 the OT, which impairs T/S performance. The "AMD" version has the OT in f16 [as opposed to bf16]. It it unclear at this time if this affects AMD/Vulcan users or just some
138 under special circumstances.
139
140 Additionally, quants by team "Mradermacher" with work on AMD/All machines and will be slightly faster/smaller than the NEO MAX quants due
141 to OT being default size, and MTP tensors also being default size. Click on "Quantized" in the model tree (upper left) to access these quants.
142
143 SPEED:
144 - On Q4_K_S (4bit) quant, regular GGUFs are about 75 t/s, whereas MTP GGUFs (acceptance at 60%, 2 tokens) can exceed 90 T/S. (5090, Windows 11, testing in LMStudio)
145 - Speeds will vary depending on GPU(s), AI app, O/S (Linux/Mac will generally be faster) and hardware.
146 - "MTP" quants speeds will vary ; for creative/complex and/or temps over 1 use regular GGUFs for better performance.
147
148 I suggest you download at least one of each - regular and MTP gguf(s) - and test them for your use case(s).
149
150 If you get "token acceptance" (predict 2 tokens) with MTP quant(s) BELOW 50% (this means regular quants will run faster), then regular GGUF(s) will actually perform better - ie faster.
151
152 MTP quant(s) can in some cases run faster as the token window fills up and/or in multi turn chats.
153
154 Note there is NO other diffence between the quants type besides speed: both will do the same job.
155
156 <B>ADDITIONAL Quant types / OTHER GGUF Quants:</b>
157
158 1. There are "Dflash", "NINFER", "AUTOROUND", "vLLM" "MLX", "NVFP4" and others. Look in the community tab; labeled with "VERSION:"
159
160 https://huggingface.co/DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF/discussions
161
162 2. Click on "QUANTIZED" AND "Quantizations" upper left in the model tree.
163
164 3. Go to the official source site here:
165
166 https://huggingface.co/DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-MTP
167
168 <B>Model:</b>
169 - 256k context
170 - Gguf quants run in all standard AI apps.
171 - Vision is activated, but you need to download separate "mmproj" file (ONE) to use it.
172
173 <B>VISION:</B>
174 - Vision (images) tested.
175 - You need an "mmproj" (just one) of these downloaded too, and placed in the same folder as the GGUF for images.
176
177 <B>Qwen Model Settings (suggested):</B>
178
179 - Thinking mode for general tasks: temperature=1.0, top_p=0.95, top_k=20, min_p=0.0, presence_penalty=0.0, repetition_penalty=1.0
180 - Thinking mode for precise coding tasks (e.g. WebDev): temperature=0.6, top_p=0.95, top_k=20, min_p=0.0, presence_penalty=0.0, repetition_penalty=1.0
181 - Instruct (or non-thinking) mode: temperature=0.7, top_p=0.80, top_k=20, min_p=0.0, presence_penalty=1.5, repetition_penalty=1.0
182 - Context window min from 8k to 16k.
183
184 <B>DE-CENSORING STATS</B>
185
186 Special thanks to: "trohrbaugh" for Heretic'ing the model.
187
188 # This is a decensored version of [Qwen/Qwen3.6-27B](https://huggingface.co/Qwen/Qwen3.6-27B), made using [Heretic](https://github.com/p-e-w/heretic) v1.2.0+custom with the [Arbitrary-Rank Ablation (ARA)](https://github.com/p-e-w/heretic/pull/211) method
189
190 ## Performance
191
192 | Metric | This model | Original model ([Qwen/Qwen3.6-27B](https://huggingface.co/Qwen/Qwen3.6-27B)) |
193 | :----- | :--------: | :---------------------------: |
194 | **KL divergence** | 0.0469 | 0 *(by definition)* |
195 | **Refusals** | 4/100 | 99/100 |
196
197 ---
198
199 <h2>BENCHMARKS by Nightmedia</h2>
200
201 Graphic below too, for all models listed below in order.
202
203 ---
204
205 ```
206 arc/c arc/e boolq hswag obkqa piqa wino
207
208 Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF [instruct mode]
209 mxfp8 0.711,0.879,0.910,0.790,0.514,0.823,0.763
210 mxfp4 0.701,0.873,0.909,0.786,0.488,0.813,0.759
211
212 Qwen3.6-27B-Instruct: [base, non heretic]
213 mxfp8 0.647,0.803,0.910,0.773,0.450,0.806,0.742
214
215 Qwen3.6-35B-A3B-Instruct [base, non heretic]
216 mxfp8 0.581,0.757,0.892,0.751,0.428,0.803,0.688
217
218 Qwen3.5-27B-Instruct: [base, non heretic]
219 mxfp8 0.557,0.711,0.868,0.533,0.452,0.706,0.695
220 ```
221
222 NOTES:
223 - Models are tested in "Instruct" mode because this generally works better with the testing harness.
224 - Testing via "thinking" mode also shows the metrics (and changes) but not the true extent.
225 - In actual fact when the model IS in thinking mode, it will exceed INSTRUCT benchmark scores in most cases.
226 - BF16 (full precision, 16 bit) will be roughly 2-5 points higher than MXFP8 in most metrics. Some metrics may be slightly higher than this.
227
228 VISUAL (by tawloh01):
229
230 <img src="ff711-benches.png">
231
232 ---
233
234 <h2>BENCHMARKS by third party: IRONLLM LABS.</h2>
235
236 711 Fusion (at full precision 16 bit and Q8_0) VS Qwen 3.6 27B at full precision (16 bit).
237
238 Fusion-711 (BOTH) surpasses Qwen 3.6 27B.
239
240 Fusion-711 Q8_0: Higher IQ at 2 times the speed of the full precision Qwen 3.6 27B model.
241
242 <img src="FF711-bench2.png">
243
244 See the full and detailed report here:
245
246 https://blog.robai.net/27bevals/
247
248 ---
249
250 <h2>The SUPER Qwen Universe - 40B, 27B and 9B ; meet the performance trendsetters:</h2>
251
252 ---
253
254 Qwen3.6 27B: The strongest, overall qwen ever beating all other Qwens in total operational power with over 2300 likes // 4 million+ total downloads:
255 - https://huggingface.co/DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF
256
257 Qwen3.8 27B: The highest scoring Qwen in brute, raw intelligence, using Qwen 3.8's 3 new reasoning modes, plus token reduction (1/2 to 1/10) enhancements:
258 - https://huggingface.co/DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF
259
260 Qwen3.8 27B: Super smart and 1/2 to 1/20 the reasoning tokens AND 5 reasoning/5 instruct modes switchable on the fly (even in chat):
261 - https://huggingface.co/DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NM-DAU-NEO-MTP-GGUF
262
263 Qwen3.8 27B: 99% power of BF 16 at 4 and 8 bit. Power, Control and NO DE censoring for ultimate performance also with reasoning token reductions:
264 - https://huggingface.co/DavidAU/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-NM-DAU-NEO-MAX-MTP-GGUF
265
266 Qwen3.6 40B: The 40B Monster, specializing in creative and research with 730+ likes and over 2 million downloads:
267 - https://huggingface.co/DavidAU/Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF
268
269 Qwen3.5 9B: At just 9B parameters it beats most untuned 27B models in both intelligence (640 ARC-C) and performance, plus features 5 reasoning and 5 instruct modes (Qwen 3.8) too:
270 - https://huggingface.co/DavidAU/Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-NEO-IMATRIX-MAX-MTP-GGUF
271
272 ---
273
274 <B>Using an "uncensored" (refusals removed) model VS trained "uncensored" model</B>
275
276 Usually when you a tell a model to generate horror, swear or x-rated content this is all you have to do to get said content type.
277
278 In the case of this model, it will not refuse your request, however it needs to be "pushed" a bit / directed a bit more in SOME CASES.
279
280 Although this model will generated x-rated content too, likewise you need to tell it to use "slang" (and include the terms you want)
281 to get it generate the content correctly as the "expected" content level too.
282
283 Without these added directive(s), the content can be "bland" by comparison to an "uncensored model" or model trained on uncensored content.
284
285 Roughly, the model tries to generate the content but the "default" setting(s) are so "tame" it needs a push to generate at expected graphic,
286 cursing or explicit levels.
287
288 Even with minimal direction (ie, use these words to swear: x,y,z), this will be enough to push the model to generate the requested content in the ahh... expected format.
289
290 ---
291
292 <B>Settings: CHAT / ROLEPLAY and/or SMOOTHER operation of this model:</B>
293
294 In "KoboldCpp" or "oobabooga/text-generation-webui" or "Silly Tavern" ;
295
296 Set the "Smoothing_factor" to 1.5
297
298 : in KoboldCpp -> Settings->Samplers->Advanced-> "Smooth_F"
299
300 : in text-generation-webui -> parameters -> lower right.
301
302 : In Silly Tavern this is called: "Smoothing"
303
304
305 NOTE: For "text-generation-webui"
306
307 -> if using GGUFs you need to use "llama_HF" (which involves downloading some config files from the SOURCE version of this model)
308
309 Source versions (and config files) of my models are here:
310
311 https://huggingface.co/collections/DavidAU/d-au-source-files-for-gguf-exl2-awq-gptq-hqq-etc-etc-66b55cb8ba25f914cbf210be
312
313 OTHER OPTIONS:
314
315 - Increase rep pen to 1.1 to 1.15 (you don't need to do this if you use "smoothing_factor")
316
317 - If the interface/program you are using to run AI MODELS supports "Quadratic Sampling" ("smoothing") just make the adjustment as noted.
318
319 <B>Highest Quality Settings / Optimal Operation Guide / Parameters and Samplers</B>
320
321 This a "Class 1" model:
322
323 For all settings used for this model (including specifics for its "class"), including example generation(s) and for advanced settings guide (which many times addresses any model issue(s)), including methods to improve model performance for all use case(s) as well as chat, roleplay and other use case(s) please see:
324
325 [ https://huggingface.co/DavidAU/Maximizing-Model-Performance-All-Quants-Types-And-Full-Precision-by-Samplers_Parameters ]
326
327 You can see all parameters used for generation, in addition to advanced parameters and samplers to get the most out of this model here:
328
329 [ https://huggingface.co/DavidAU/Maximizing-Model-Performance-All-Quants-Types-And-Full-Precision-by-Samplers_Parameters ]
330
331 ---
332 # Qwen3.6-27B
333
334 <img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen3.6/logo.png">
335
336 [![Qwen Chat](https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5)](https://chat.qwen.ai)
337
338 > [!Note]
339 > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format.
340 >
341 > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.
342
343 Following the February release of the Qwen3.5 series, we're pleased to share the first open-weight variant of Qwen3.6. Built on direct feedback from the community, Qwen3.6 prioritizes stability and real-world utility, offering developers a more intuitive, responsive, and genuinely productive coding experience.
344
345 ## Qwen3.6 Highlights
346
347 This release delivers substantial upgrades, particularly in
348
349 - **Agentic Coding:** the model now handles frontend workflows and repository-level reasoning with greater fluency and precision.
350 - **Thinking Preservation:** we've introduced a new option to retain reasoning context from historical messages, streamlining iterative development and reducing overhead.
351
352 ![Benchmark Results](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen3.6/Figures/qwen3.6_27b_score.png)
353
354 For more details, please refer to our blog post [Qwen3.6-27B](https://qwen.ai/blog?id=qwen3.6-27b).
355
356 ## Model Overview
357
358 - Type: Causal Language Model with Vision Encoder
359 - Training Stage: Pre-training & Post-training
360 - Language Model
361 - Number of Parameters: 27B
362 - Hidden Dimension: 5120
363 - Token Embedding: 248320 (Padded)
364 - Number of Layers: 64
365 - Hidden Layout: 16 × (3 × (Gated DeltaNet → FFN) → 1 × (Gated Attention → FFN))
366 - Gated DeltaNet:
367 - Number of Linear Attention Heads: 48 for V and 16 for QK
368 - Head Dimension: 128
369 - Gated Attention:
370 - Number of Attention Heads: 24 for Q and 4 for KV
371 - Head Dimension: 256
372 - Rotary Position Embedding Dimension: 64
373 - Feed Forward Network:
374 - Intermediate Dimension: 17408
375 - LM Output: 248320 (Padded)
376 - MTP: trained with multi-steps
377 - Context Length: 262,144 natively and extensible up to 1,010,000 tokens.
378
379
380 ## Benchmark Results
381
382 ### Language
383
384 <div style="font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,sans-serif;max-width:1000px;margin:0 auto;padding:16px 0">
385 <table style="width:100%;border-collapse:collapse;font-size:13px">
386 <thead><tr>
387 <th style="padding:10px 7px;text-align:left;font-weight:600;border-bottom:2px solid #7c3aed;color:#7c3aed"></th><th style="padding:10px 7px;text-align:center;font-weight:500;border-bottom:2px solid #7c3aed;color:#7c3aed;font-size: 14px;">Qwen3.5-27B</th><th style="padding:10px 7px;text-align:center;font-weight:500;border-bottom:2px solid #7c3aed;color:#7c3aed;font-size: 14px;">Qwen3.5-397B-A17B</th><th style="padding:10px 7px;text-align:center;font-weight:500;border-bottom:2px solid #7c3aed;color:#7c3aed;font-size: 14px;">Gemma4-31B</th><th style="padding:10px 7px;text-align:center;font-weight:500;border-bottom:2px solid #7c3aed;color:#7c3aed;font-size: 14px;">Claude 4.5 Opus</th><th style="padding:10px 7px;text-align:center;font-weight:500;border-bottom:2px solid #7c3aed;color:#7c3aed;font-size: 14px;">Qwen3.6-35B-A3B</th><th style="padding:10px 7px;text-align:center;font-weight:500;border-bottom:2px solid #7c3aed;color:#7c3aed;font-size: 14px;">Qwen3.6-27B</th></tr></thead>
388 <tbody>
389 <tr><td colspan="7" style="padding:8px 12px;font-weight:600;color:#7c3aed;border-bottom:1px solid rgba(124, 58, 237, 0.2);background:rgba(124, 58, 237, 0.1)">Coding Agent</td></tr>
390 <tr>
391 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">SWE-bench Verified</td>
392 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">75.0</td>
393 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">76.2</td>
394 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">52.0</td>
395 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">80.9</td>
396 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">73.4</td>
397 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">77.2</td>
398 </tr>
399 <tr>
400 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">SWE-bench Pro</td>
401 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">51.2</td>
402 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">50.9</td>
403 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">35.7</td>
404 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">57.1</td>
405 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">49.5</td>
406 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">53.5</td>
407 </tr>
408 <tr>
409 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">SWE-bench Multilingual</td>
410 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">69.3</td>
411 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">69.3</td>
412 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">51.7</td>
413 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">77.5</td>
414 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">67.2</td>
415 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">71.3</td>
416 </tr>
417 <tr>
418 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">Terminal-Bench 2.0</td>
419 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">41.6</td>
420 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">52.5</td>
421 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">42.9</td>
422 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">59.3</td>
423 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">51.5</td>
424 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">59.3</td>
425 </tr>
426 <tr>
427 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">SkillsBench <sub><small>Avg5</small></sub></td>
428 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">27.2</td>
429 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">30.0</td>
430 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">23.6</td>
431 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">45.3</td>
432 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">28.7</td>
433 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">48.2</td>
434 </tr>
435 <tr>
436 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">QwenWebBench</td>
437 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">1068</td>
438 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">1186</td>
439 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">1197</td>
440 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">1536</td>
441 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">1397</td>
442 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">1487</td>
443 </tr>
444 <tr>
445 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">NL2Repo</td>
446 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">27.3</td>
447 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">32.2</td>
448 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">15.5</td>
449 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">43.2</td>
450 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">29.4</td>
451 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">36.2</td>
452 </tr>
453 <tr>
454 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">Claw-Eval <sub><small>Avg</small></sub></td>
455 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">64.3</td>
456 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">70.7</td>
457 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">48.5</td>
458 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">76.6</td>
459 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">68.7</td>
460 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">72.4</td>
461 </tr>
462 <tr>
463 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">Claw-Eval <sub><small>Pass^3</small></sub></td>
464 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">46.2</td>
465 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">48.1</td>
466 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">25.0</td>
467 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">59.6</td>
468 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">50.0</td>
469 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">60.6</td>
470 </tr>
471 <tr>
472 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">QwenClawBench</td>
473 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">52.2</td>
474 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">51.8</td>
475 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">41.7</td>
476 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">52.3</td>
477 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">52.6</td>
478 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">53.4</td>
479 </tr>
480 <tr><td colspan="7" style="padding:8px 12px;font-weight:600;color:#7c3aed;border-bottom:1px solid rgba(124, 58, 237, 0.2);background:rgba(124, 58, 237, 0.1)">Knowledge</td></tr>
481 <tr>
482 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">MMLU-Pro</td>
483 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">86.1</td>
484 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">87.8</td>
485 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">85.2</td>
486 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">89.5</td>
487 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">85.2</td>
488 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">86.2</td>
489 </tr>
490 <tr>
491 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">MMLU-Redux</td>
492 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">93.2</td>
493 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">94.9</td>
494 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">93.7</td>
495 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">95.6</td>
496 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">93.3</td>
497 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">93.5</td>
498 </tr>
499 <tr>
500 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">SuperGPQA</td>
501 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">65.6</td>
502 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">70.4</td>
503 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">65.7</td>
504 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">70.6</td>
505 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">64.7</td>
506 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">66.0</td>
507 </tr>
508 <tr>
509 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">C-Eval</td>
510 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">90.5</td>
511 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">93.0</td>
512 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">82.6</td>
513 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">92.2</td>
514 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">90.0</td>
515 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">91.4</td>
516 </tr>
517 <tr><td colspan="7" style="padding:8px 12px;font-weight:600;color:#7c3aed;border-bottom:1px solid rgba(124, 58, 237, 0.2);background:rgba(124, 58, 237, 0.1)">STEM & Reasoning</td></tr>
518 <tr>
519 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">GPQA Diamond</td>
520 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">85.5</td>
521 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">88.4</td>
522 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">84.3</td>
523 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">87.0</td>
524 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">86.0</td>
525 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">87.8</td>
526 </tr>
527 <tr>
528 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">HLE</td>
529 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">24.3</td>
530 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">28.7</td>
531 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">19.5</td>
532 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">30.8</td>
533 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">21.4</td>
534 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">24.0</td>
535 </tr>
536 <tr>
537 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">LiveCodeBench v6</td>
538 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">80.7</td>
539 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">83.6</td>
540 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">80.0</td>
541 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">84.8</td>
542 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">80.4</td>
543 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">83.9</td>
544 </tr>
545 <tr>
546 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">HMMT Feb 25</td>
547 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">92.0</td>
548 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">94.8</td>
549 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">88.7</td>
550 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">92.9</td>
551 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">90.7</td>
552 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">93.8</td>
553 </tr>
554 <tr>
555 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">HMMT Nov 25</td>
556 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">89.8</td>
557 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">92.7</td>
558 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">87.5</td>
559 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">93.3</td>
560 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">89.1</td>
561 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">90.7</td>
562 </tr>
563 <tr>
564 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">HMMT Feb 26</td>
565 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">84.3</td>
566 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">87.9</td>
567 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">77.2</td>
568 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">85.3</td>
569 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">83.6</td>
570 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">84.3</td>
571 </tr>
572 <tr>
573 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">IMOAnswerBench</td>
574 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">79.9</td>
575 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">80.9</td>
576 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">74.5</td>
577 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">84.0</td>
578 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">78.9</td>
579 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">80.8</td>
580 </tr>
581 <tr>
582 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">AIME26</td>
583 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">92.6</td>
584 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">93.3</td>
585 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">89.2</td>
586 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">95.1</td>
587 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">92.7</td>
588 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">94.1</td>
589 </tr>
590 </tbody>
591 </table>
592
593 <p style="margin-top:12px;font-size:10px;opacity:0.7">
594 * SWE-Bench Series: Internal agent scaffold (bash + file-edit tools); temp=1.0, top_p=0.95, 200K context window. We correct some problematic tasks in the public set of SWE-bench Pro and evaluate all baselines on the refined benchmark.<br/>
595 * Terminal-Bench 2.0: Harbor/Terminus-2 harness; 3h timeout, 32 CPU/48 GB RAM; temp=1.0, top_p=0.95, top_k=20, max_tokens=80K, 256K ctx; avg of 5 runs.<br/>
596 * SkillsBench: Evaluated via OpenCode on 78 tasks (self-contained subset, excluding API-dependent tasks); avg of 5 runs.<br/>
597 * NL2Repo: Others are evaluated via Claude Code (temp=1.0, top_p=0.95, max_turns=900).<br/>
598 * QwenClawBench: A real-user-distribution Claw agent benchmark; temp=0.6, 256K ctx.<br/>
599 * QwenWebBench: An internal front-end code generation benchmark; bilingual (EN/CN), 7 categories (Web Design, Web Apps, Games, SVG, Data Visualization, Animation, and 3D); auto-render + multimodal judge (code/visual correctness); BT/Elo rating system.<br/>
600 * AIME 26: We use the full AIME 2026 (I & II), where the scores may differ from Qwen 3.5 notes.
601 </p>
602
603 </div>
604
605
606 ### Vision Language
607
608 <div style="font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,sans-serif;max-width:1000px;margin:0 auto;padding:16px 0">
609 <table style="width:100%;border-collapse:collapse;font-size:13px">
610 <thead><tr>
611 <th style="padding:10px 7px;text-align:left;font-weight:600;border-bottom:2px solid #7c3aed;color:#7c3aed"></th><th style="padding:10px 7px;text-align:center;font-weight:500;border-bottom:2px solid #7c3aed;color:#7c3aed;font-size: 14px;">Qwen3.5-27B</th><th style="padding:10px 7px;text-align:center;font-weight:500;border-bottom:2px solid #7c3aed;color:#7c3aed;font-size: 14px;">Qwen3.5-397B-A17B</th><th style="padding:10px 7px;text-align:center;font-weight:500;border-bottom:2px solid #7c3aed;color:#7c3aed;font-size: 14px;">Gemma4-31B</th><th style="padding:10px 7px;text-align:center;font-weight:500;border-bottom:2px solid #7c3aed;color:#7c3aed;font-size: 14px;">Claude 4.5 Opus</th><th style="padding:10px 7px;text-align:center;font-weight:500;border-bottom:2px solid #7c3aed;color:#7c3aed;font-size: 14px;">Qwen3.6-35B-A3B</th><th style="padding:10px 7px;text-align:center;font-weight:500;border-bottom:2px solid #7c3aed;color:#7c3aed;font-size: 14px;">Qwen3.6-27B</th></tr></thead>
612 <tbody>
613 <tr><td colspan="7" style="padding:8px 12px;font-weight:600;color:#7c3aed;border-bottom:1px solid rgba(124, 58, 237, 0.2);background:rgba(124, 58, 237, 0.1)">STEM & Puzzle</td></tr>
614 <tr>
615 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">MMMU</td>
616 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">82.3</td>
617 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">85.0</td>
618 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">80.4</td>
619 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">80.7</td>
620 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">81.7</td>
621 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">82.9</td>
622 </tr>
623 <tr>
624 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">MMMU-Pro</td>
625 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">75.0</td>
626 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">79.0</td>
627 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">76.9</td>
628 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">70.6</td>
629 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">75.3</td>
630 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">75.8</td>
631 </tr>
632 <tr>
633 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">MathVista <sub><small>mini</small></sub></td>
634 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">87.8</td>
635 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
636 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">79.3</td>
637 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
638 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">86.4</td>
639 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">87.4</td>
640 </tr>
641 <tr>
642 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">DynaMath</td>
643 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">87.7</td>
644 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">86.3</td>
645 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">79.5</td>
646 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">79.7</td>
647 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">82.8</td>
648 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">85.6</td>
649 </tr>
650 <tr>
651 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">VlmsAreBlind</td>
652 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">96.9</td>
653 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
654 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">87.2</td>
655 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
656 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">96.6</td>
657 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">97.0</td>
658 </tr>
659 <tr><td colspan="7" style="padding:8px 12px;font-weight:600;color:#7c3aed;border-bottom:1px solid rgba(124, 58, 237, 0.2);background:rgba(124, 58, 237, 0.1)">General VQA</td></tr>
660 <tr>
661 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">RealWorldQA</td>
662 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">83.7</td>
663 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">83.9</td>
664 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">72.3</td>
665 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">77.0</td>
666 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">85.3</td>
667 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">84.1</td>
668 </tr>
669 <tr>
670 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">MMStar</td>
671 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">81.0</td>
672 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">83.8</td>
673 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">77.3</td>
674 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">73.2</td>
675 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">80.7</td>
676 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">81.4</td>
677 </tr>
678 <tr>
679 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">MMBench<sub><small>EN-DEV-v1.1</small></sub></td>
680 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">92.6</td>
681 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
682 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">90.9</td>
683 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
684 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">92.8</td>
685 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">92.3</td>
686 </tr>
687 <tr>
688 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">SimpleVQA</td>
689 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">56.0</td>
690 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">67.1</td>
691 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">52.9</td>
692 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">65.7</td>
693 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">58.9</td>
694 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">56.1</td>
695 </tr>
696 <tr><td colspan="7" style="padding:8px 12px;font-weight:600;color:#7c3aed;border-bottom:1px solid rgba(124, 58, 237, 0.2);background:rgba(124, 58, 237, 0.1)">Document Understanding</td></tr>
697 <tr>
698 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">CharXiv <sub><small>RQ</small></sub></td>
699 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">79.5</td>
700 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">80.8</td>
701 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">67.9</td>
702 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">68.5</td>
703 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">78.0</td>
704 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">78.4</td>
705 </tr>
706 <tr>
707 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">CC-OCR</td>
708 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">81.0</td>
709 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">82.0</td>
710 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">75.7</td>
711 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">76.9</td>
712 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">81.9</td>
713 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">81.2</td>
714 </tr>
715 <tr>
716 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">OCRBench</td>
717 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">89.4</td>
718 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
719 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">86.1</td>
720 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
721 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">90.0</td>
722 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">89.4</td>
723 </tr>
724 <tr><td colspan="7" style="padding:8px 12px;font-weight:600;color:#7c3aed;border-bottom:1px solid rgba(124, 58, 237, 0.2);background:rgba(124, 58, 237, 0.1)">Spatial Intelligence</td></tr>
725 <tr>
726 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">ERQA</td>
727 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">60.5</td>
728 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">67.5</td>
729 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">57.5</td>
730 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">46.8</td>
731 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">61.8</td>
732 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">62.5</td>
733 </tr>
734 <tr>
735 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">CountBench</td>
736 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">97.8</td>
737 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">97.2</td>
738 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">96.1</td>
739 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">90.6</td>
740 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">96.1</td>
741 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">97.8</td>
742 </tr>
743 <tr>
744 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">RefCOCO <sub><small>avg</small></sub></td>
745 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">90.9</td>
746 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">92.3</td>
747 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
748 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
749 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">92.0</td>
750 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">92.5</td>
751 </tr>
752 <tr>
753 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">EmbSpatialBench</td>
754 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">84.5</td>
755 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
756 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
757 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
758 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">84.3</td>
759 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">84.6</td>
760 </tr>
761 <tr>
762 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">RefSpatialBench</td>
763 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">67.7</td>
764 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
765 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">4.7</td>
766 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
767 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">64.3</td>
768 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">70.0</td>
769 </tr>
770 <tr><td colspan="7" style="padding:8px 12px;font-weight:600;color:#7c3aed;border-bottom:1px solid rgba(124, 58, 237, 0.2);background:rgba(124, 58, 237, 0.1)">Video Understanding</td></tr>
771 <tr>
772 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">VideoMME<sub><small>(w sub.)</sub></small></td>
773 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">87.0</td>
774 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">87.5</td>
775 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
776 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">77.7</td>
777 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">86.6</td>
778 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">87.7</td>
779 </tr>
780 <tr>
781 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">VideoMMMU</td>
782 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">82.3</td>
783 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">84.7</td>
784 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">81.6</td>
785 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">84.4</td>
786 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">83.7</td>
787 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">84.4</td>
788 </tr>
789 <tr>
790 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">MLVU</td>
791 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">85.9</td>
792 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">86.7</td>
793 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
794 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">81.7</td>
795 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">86.2</td>
796 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">86.6</td>
797 </tr>
798 <tr>
799 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">MVBench</td>
800 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">74.6</td>
801 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">77.6</td>
802 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
803 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">67.2</td>
804 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">74.6</td>
805 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">75.5</td>
806 </tr>
807 <tr><td colspan="7" style="padding:8px 12px;font-weight:600;color:#7c3aed;border-bottom:1px solid rgba(124, 58, 237, 0.2);background:rgba(124, 58, 237, 0.1)">Visual Agent</td></tr>
808 <tr>
809 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">V*</td>
810 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">93.7</td>
811 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">95.8</td>
812 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
813 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">67.0</td>
814 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">90.1</td>
815 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">94.7</td>
816 </tr>
817 <tr>
818 <td style="padding:7px 7px;padding-left:20px;border-bottom:1px solid rgba(128, 128, 128, 0.15);">AndroidWorld</td>
819 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">64.2</td>
820 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
821 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
822 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
823 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">--</td>
824 <td style="padding:7px 7px;text-align:center;border-bottom:1px solid rgba(128, 128, 128, 0.15)">70.3</td>
825 </tr>
826 </tbody>
827 </table>
828
829 <p style="margin-top:12px;font-size:10px;opacity:0.7">
830 * Empty cells (--) indicate scores not yet available or not applicable.
831 </p>
832
833 </div>
834
835
836 ## Quickstart
837
838 For streamlined integration, we recommend using Qwen3.6 via APIs. Below is a guide to use Qwen3.6 via OpenAI-compatible API.
839
840 ### Serving Qwen3.6
841
842 Qwen3.6 can be served via APIs with popular inference frameworks.
843 In the following, we show example commands to launch OpenAI-Compatible API servers for Qwen3.6 models.
844
845 > [!Important]
846 > Inference efficiency and throughput vary significantly across frameworks.
847 > We recommend using the latest framework versions to ensure optimal performance and compatibility.
848 > For production workloads or high-throughput scenarios, dedicated serving engines such as SGLang, KTransformers or vLLM are strongly recommended.
849
850 > [!Important]
851 > The model has a default context length of 262,144 tokens.
852 > If you encounter out-of-memory (OOM) errors, consider reducing the context window.
853 > However, because Qwen3.6 leverages extended context for complex tasks, we advise maintaining a context length of at least 128K tokens to preserve thinking capabilities.
854
855 #### SGLang
856
857 [SGLang](https://github.com/sgl-project/sglang) is a fast serving framework for large language models and vision language models.
858 `sglang>=0.5.10` is recommended for Qwen3.6, which can be installed using the following command in a fresh environment:
859 ```shell
860 uv pip install sglang[all]
861 ```
862 See [its documentation](https://docs.sglang.ai/get_started/install.html) for more details.
863
864 The following will create API endpoints at `http://localhost:8000/v1`:
865
866 - **Standard Version**: The following command can be used to create an API endpoint with maximum context length 262,144 tokens using tensor parallel on 8 GPUs.
867
868 ```shell
869 python -m sglang.launch_server --model-path Qwen/Qwen3.6-27B --port 8000 --tp-size 8 --mem-fraction-static 0.8 --context-length 262144 --reasoning-parser qwen3
870 ```
871
872 - **Tool Use**: To support tool use, you can use the following command.
873
874 ```shell
875 python -m sglang.launch_server --model-path Qwen/Qwen3.6-27B --port 8000 --tp-size 8 --mem-fraction-static 0.8 --context-length 262144 --reasoning-parser qwen3 --tool-call-parser qwen3_coder
876 ```
877
878 - **Multi-Token Prediction (MTP)**: The following command is recommended for MTP:
879
880 ```shell
881 python -m sglang.launch_server --model-path Qwen/Qwen3.6-27B --port 8000 --tp-size 8 --mem-fraction-static 0.8 --context-length 262144 --reasoning-parser qwen3 --speculative-algo NEXTN --speculative-num-steps 3 --speculative-eagle-topk 1 --speculative-num-draft-tokens 4
882 ```
883
884 For detailed deployment guide, see the [SGLang Qwen3.5 Cookbook](https://lmsysorg.mintlify.app/cookbook/llm/Qwen/Qwen3.5).
885
886 #### vLLM
887
888 [vLLM](https://github.com/vllm-project/vllm) is a high-throughput and memory-efficient inference and serving engine for LLMs.
889 `vllm>=0.19.0` is recommended for Qwen3.6, which can be installed using the following command in a fresh environment:
890 ```shell
891 uv pip install vllm --torch-backend=auto
892 ```
893 See [its documentation](https://docs.vllm.ai/en/stable/getting_started/installation/index.html) for more details.
894
895
896 The following will create API endpoints at `http://localhost:8000/v1`:
897
898 - **Standard Version**: The following command can be used to create an API endpoint with maximum context length 262,144 tokens using tensor parallel on 8 GPUs.
899
900 ```shell
901 vllm serve Qwen/Qwen3.6-27B --port 8000 --tensor-parallel-size 8 --max-model-len 262144 --reasoning-parser qwen3
902 ```
903
904 - **Tool Call**: To support tool use, you can use the following command.
905
906 ```shell
907 vllm serve Qwen/Qwen3.6-27B --port 8000 --tensor-parallel-size 8 --max-model-len 262144 --reasoning-parser qwen3 --enable-auto-tool-choice --tool-call-parser qwen3_coder
908 ```
909
910 - **Multi-Token Prediction (MTP)**: The following command is recommended for MTP:
911
912 ```shell
913 vllm serve Qwen/Qwen3.6-27B --port 8000 --tensor-parallel-size 8 --max-model-len 262144 --reasoning-parser qwen3 --speculative-config '{"method":"qwen3_next_mtp","num_speculative_tokens":2}'
914 ```
915
916 - **Text-Only**: The following command skips the vision encoder and multimodal profiling to free up memory for additional KV cache:
917
918 ```shell
919 vllm serve Qwen/Qwen3.6-27B --port 8000 --tensor-parallel-size 8 --max-model-len 262144 --reasoning-parser qwen3 --language-model-only
920 ```
921
922 For detailed deployment guide, see the [vLLM Qwen3.5 Recipe](https://docs.vllm.ai/projects/recipes/en/latest/Qwen/Qwen3.5.html).
923
924 #### KTransformers
925
926 [KTransformers](https://github.com/kvcache-ai/ktransformers) is a flexible framework for experiencing cutting-edge LLM inference optimizations with CPU-GPU heterogeneous computing.
927 For running Qwen3.6 with KTransformers, see the [KTransformers Deployment Guide](https://github.com/kvcache-ai/ktransformers/blob/main/doc/en/Qwen3.5.md).
928
929 #### Hugging Face Transformers
930
931 Hugging Face Transformers contains a _lightweight_ server which can be used for quick testing and moderate load deployment.
932 The latest `transformers` is required for Qwen3.6:
933 ```shell
934 pip install "transformers[serving]"
935 ```
936 See [its documentation](https://huggingface.co/docs/transformers/main/serving) for more details. Please also make sure torchvision and pillow are installed.
937
938 Then, run `transformers serve` to launch a server with API endpoints at `http://localhost:8000/v1`; it will place the model on accelerators if available:
939 ```shell
940 transformers serve Qwen/Qwen3.6-27B --port 8000 --continuous-batching
941 ```
942
943 ### Using Qwen3.6 via the Chat Completions API
944
945 The chat completions API is accessible via standard HTTP requests or OpenAI SDKs.
946 Here, we show examples using the OpenAI Python SDK.
947
948 Before starting, make sure it is installed and the API key and the API base URL is configured, e.g.:
949 ```shell
950 pip install -U openai
951
952 # Set the following accordingly
953 export OPENAI_BASE_URL="http://localhost:8000/v1"
954 export OPENAI_API_KEY="EMPTY"
955 ```
956
957 > [!Tip]
958 > We recommend using the following set of sampling parameters for generation
959 > - Thinking mode for general tasks: `temperature=1.0, top_p=0.95, top_k=20, min_p=0.0, presence_penalty=0.0, repetition_penalty=1.0`
960 > - Thinking mode for precise coding tasks (e.g. WebDev): `temperature=0.6, top_p=0.95, top_k=20, min_p=0.0, presence_penalty=0.0, repetition_penalty=1.0`
961 > - Instruct (or non-thinking) mode: `temperature=0.7, top_p=0.80, top_k=20, min_p=0.0, presence_penalty=1.5, repetition_penalty=1.0`
962 >
963 > Please note that the support for sampling parameters varies according to inference frameworks.
964
965 > [!Important]
966 > Qwen3.6 models operate in thinking mode by default, generating thinking content signified by `<think>\n...</think>\n\n` before producing the final responses.
967 > To disable thinking content and obtain direct response, refer to the examples [here](#instruct-or-non-thinking-mode).
968
969
970 #### Text-Only Input
971
972 ```python
973 from openai import OpenAI
974 # Configured by environment variables
975 client = OpenAI()
976
977 messages = [
978 {"role": "user", "content": "Type \"I love Qwen3.6\" backwards"},
979 ]
980
981 chat_response = client.chat.completions.create(
982 model="Qwen/Qwen3.6-27B",
983 messages=messages,
984 max_tokens=81920,
985 temperature=1.0,
986 top_p=0.95,
987 presence_penalty=0.0,
988 extra_body={
989 "top_k": 20,
990 },
991 )
992 print("Chat response:", chat_response)
993 ```
994
995
996 #### Image Input
997
998 ```python
999 from openai import OpenAI
1000 # Configured by environment variables
1001 client = OpenAI()
1002
1003 messages = [
1004 {
1005 "role": "user",
1006 "content": [
1007 {
1008 "type": "image_url",
1009 "image_url": {
1010 "url": "https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen3.5/demo/CI_Demo/mathv-1327.jpg"
1011 }
1012 },
1013 {
1014 "type": "text",
1015 "text": "The centres of the four illustrated circles are in the corners of the square. The two big circles touch each other and also the two little circles. With which factor do you have to multiply the radii of the little circles to obtain the radius of the big circles?\nChoices:\n(A) $\\frac{2}{9}$\n(B) $\\sqrt{5}$\n(C) $0.8 \\cdot \\pi$\n(D) 2.5\n(E) $1+\\sqrt{2}$"
1016 }
1017 ]
1018 }
1019 ]
1020
1021 response = client.chat.completions.create(
1022 model="Qwen/Qwen3.6-27B",
1023 messages=messages,
1024 max_tokens=81920,
1025 temperature=1.0,
1026 top_p=0.95,
1027 presence_penalty=0.0,
1028 extra_body={
1029 "top_k": 20,
1030 },
1031 )
1032 print("Chat response:", chat_response)
1033 ```
1034
1035 #### Video Input
1036
1037 ```python
1038 from openai import OpenAI
1039 # Configured by environment variables
1040 client = OpenAI()
1041
1042 messages = [
1043 {
1044 "role": "user",
1045 "content": [
1046 {
1047 "type": "video_url",
1048 "video_url": {
1049 "url": "https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen3.5/demo/video/N1cdUjctpG8.mp4"
1050 }
1051 },
1052 {
1053 "type": "text",
1054 "text": "How many porcelain jars were discovered in the niches located in the primary chamber of the tomb?"
1055 }
1056 ]
1057 }
1058 ]
1059
1060 # When vLLM is launched with `--media-io-kwargs '{"video": {"num_frames": -1}}'`,
1061 # video frame sampling can be configured via `extra_body` (e.g., by setting `fps`).
1062 # This feature is currently supported only in vLLM.
1063 #
1064 # By default, `fps=2` and `do_sample_frames=True`.
1065 # With `do_sample_frames=True`, you can customize the `fps` value to set your desired video sampling rate.
1066 response = client.chat.completions.create(
1067 model="Qwen/Qwen3.6-27B",
1068 messages=messages,
1069 max_tokens=81920,
1070 temperature=1.0,
1071 top_p=0.95,
1072 presence_penalty=0.0,
1073 extra_body={
1074 "top_k": 20,
1075 "mm_processor_kwargs": {"fps": 2, "do_sample_frames": True},
1076 },
1077 )
1078
1079 print("Chat response:", chat_response)
1080 ```
1081
1082
1083 #### Instruct (or Non-Thinking) Mode
1084
1085 > [!Important]
1086 > Qwen3.6 does not officially support the soft switch of Qwen3, i.e., `/think` and `/nothink`.
1087
1088 Qwen3.6 will think by default before response.
1089 You can obtain direct response from the model without thinking by configuring the API parameters.
1090 For example,
1091 ```python
1092 from openai import OpenAI
1093 # Configured by environment variables
1094 client = OpenAI()
1095
1096 messages = [
1097 {
1098 "role": "user",
1099 "content": [
1100 {
1101 "type": "image_url",
1102 "image_url": {
1103 "url": "https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen3.6/demo/RealWorld/RealWorld-04.png"
1104 }
1105 },
1106 {
1107 "type": "text",
1108 "text": "Where is this?"
1109 }
1110 ]
1111 }
1112 ]
1113
1114 chat_response = client.chat.completions.create(
1115 model="Qwen/Qwen3.6-27B",
1116 messages=messages,
1117 max_tokens=32768,
1118 temperature=0.7,
1119 top_p=0.8,
1120 presence_penalty=1.5,
1121 extra_body={
1122 "top_k": 20,
1123 "chat_template_kwargs": {"enable_thinking": False},
1124 },
1125 )
1126 print("Chat response:", chat_response)
1127 ```
1128
1129 > [!Note]
1130 > If you are using APIs from Alibaba Cloud Model Studio, in addition to changing `model`, please use `"enable_thinking": False` instead of `"chat_template_kwargs": {"enable_thinking": False}`.
1131
1132 #### Preserve Thinking
1133
1134 By default, only the thinking blocks generated in handling the latest user message is retained, resulting in a pattern commonly as interleaved thinking.
1135 Qwen3.6 has been additionally trained to preserve and leverage thinking traces from historical messages.
1136 You can enable this behavior by setting the `preserve_thinking` option:
1137 ```python
1138 from openai import OpenAI
1139 # Configured by environment variables
1140 client = OpenAI()
1141
1142 messages = [...]
1143
1144 chat_response = client.chat.completions.create(
1145 model="Qwen/Qwen3.6-27B",
1146 messages=messages,
1147 max_tokens=32768,
1148 temperature=0.6,
1149 top_p=0.95,
1150 presence_penalty=0.0,
1151 extra_body={
1152 "top_k": 20,
1153 "chat_template_kwargs": {"preserve_thinking": True},
1154 },
1155 )
1156 print("Chat response:", chat_response)
1157 ```
1158
1159 > [!Note]
1160 > If you are using APIs from Alibaba Cloud Model Studio, in addition to changing `model`, please use `"preserve_thinking": True` instead of `"chat_template_kwargs": {"preserve_thinking": False}`.
1161
1162
1163 This capability is particularly beneficial for agent scenarios, where maintaining full reasoning context can enhance decision consistency and, in many cases, reduce overall token consumption by minimizing redundant reasoning. Additionally, it can improve KV cache utilization, optimizing inference efficiency in both thinking and non-thinking modes.
1164
1165
1166 ## Agentic Usage
1167
1168 Qwen3.6 excels in tool calling capabilities.
1169
1170 ### Qwen-Agent
1171
1172 We recommend using [Qwen-Agent](https://github.com/QwenLM/Qwen-Agent) to quickly build Agent applications with Qwen3.6.
1173
1174 To define the available tools, you can use the MCP configuration file, use the integrated tool of Qwen-Agent, or integrate other tools by yourself.
1175 ```python
1176 import os
1177 from qwen_agent.agents import Assistant
1178
1179 # Define LLM
1180 # Using Alibaba Cloud Model Studio
1181 llm_cfg = {
1182 # Use the OpenAI-compatible model service provided by DashScope:
1183 'model': 'qwen3.6-27b',
1184 'model_type': 'qwenvl_oai',
1185 'model_server': 'https://dashscope.aliyuncs.com/compatible-mode/v1',
1186 'api_key': os.getenv('DASHSCOPE_API_KEY'),
1187
1188 'generate_cfg': {
1189 'use_raw_api': True,
1190 # When using Dash Scope OAI API, pass the parameter of whether to enable thinking mode in this way
1191 'extra_body': {
1192 'enable_thinking': True,
1193 'preserve_thinking': True,
1194 },
1195 },
1196 }
1197
1198 # Using OpenAI-compatible API endpoint.
1199 # functionality of the deployment frameworks and let Qwen-Agent automate the related operations.
1200 #
1201 # llm_cfg = {
1202 # # Use your own model service compatible with OpenAI API by vLLM/SGLang:
1203 # 'model': 'Qwen/Qwen3.6-27B',
1204 # 'model_type': 'qwenvl_oai',
1205 # 'model_server': 'http://localhost:8000/v1', # api_base
1206 # 'api_key': 'EMPTY',
1207 #
1208 # 'generate_cfg': {
1209 # 'use_raw_api': True,
1210 # # When using vLLM/SGLang OAI API, pass the parameter of whether to enable thinking mode in this way
1211 # 'extra_body': {
1212 # 'chat_template_kwargs': {'enable_thinking': True, 'preserve_thinking': True}
1213 # },
1214 # },
1215 # }
1216
1217 # Define Tools
1218 tools = [
1219 {'mcpServers': { # You can specify the MCP configuration file
1220 "filesystem": {
1221 "command": "npx",
1222 "args": ["-y", "@modelcontextprotocol/server-filesystem", "/Users/xxxx/Desktop"]
1223 }
1224 }
1225 }
1226 ]
1227
1228 # Define Agent
1229 bot = Assistant(llm=llm_cfg, function_list=tools)
1230
1231 # Streaming generation
1232 messages = [{'role': 'user', 'content': 'Help me organize my desktop.'}]
1233 for responses in bot.run(messages=messages):
1234 pass
1235 print(responses)
1236
1237 # Streaming generation
1238 messages = [{'role': 'user', 'content': 'Develop a dog website and save it on the desktop'}]
1239 for responses in bot.run(messages=messages):
1240 pass
1241 print(responses)
1242 ```
1243
1244 ### Qwen Code
1245
1246
1247 [Qwen Code](https://github.com/QwenLM/qwen-code) is an open-source AI agent for the terminal, optimized for Qwen models. It helps you understand large codebases, automate tedious work, and ship faster.
1248
1249 For more information, please refer to [Qwen Code](https://qwenlm.github.io/qwen-code-docs/).
1250
1251 ## Processing Ultra-Long Texts
1252
1253 Qwen3.6 natively supports context lengths of up to 262,144 tokens.
1254 For long-horizon tasks where the total length (including both input and output) exceeds this limit, we recommend using RoPE scaling techniques to handle long texts effectively., e.g., YaRN.
1255
1256 YaRN is currently supported by several inference frameworks, e.g., `transformers`, `vllm`, `ktransformers` and `sglang`.
1257 In general, there are two approaches to enabling YaRN for supported frameworks:
1258
1259 - Modifying the model configuration file:
1260 In the `config.json` file, change the `rope_parameters` fields in `text_config` to:
1261 ```json
1262 {
1263 "mrope_interleaved": true,
1264 "mrope_section": [
1265 11,
1266 11,
1267 10
1268 ],
1269 "rope_type": "yarn",
1270 "rope_theta": 10000000,
1271 "partial_rotary_factor": 0.25,
1272 "factor": 4.0,
1273 "original_max_position_embeddings": 262144,
1274 }
1275 ```
1276
1277 - Passing command line arguments:
1278
1279 For `vllm`, you can use
1280 ```shell
1281 VLLM_ALLOW_LONG_MAX_MODEL_LEN=1 vllm serve ... --hf-overrides '{"text_config": {"rope_parameters": {"mrope_interleaved": true, "mrope_section": [11, 11, 10], "rope_type": "yarn", "rope_theta": 10000000, "partial_rotary_factor": 0.25, "factor": 4.0, "original_max_position_embeddings": 262144}}}' --max-model-len 1010000
1282 ```
1283
1284 For `sglang` and `ktransformers`, you can use
1285 ```shell
1286 SGLANG_ALLOW_OVERWRITE_LONGER_CONTEXT_LEN=1 python -m sglang.launch_server ... --json-model-override-args '{"text_config": {"rope_parameters": {"mrope_interleaved": true, "mrope_section": [11, 11, 10], "rope_type": "yarn", "rope_theta": 10000000, "partial_rotary_factor": 0.25, "factor": 4.0, "original_max_position_embeddings": 262144}}}' --context-length 1010000
1287 ```
1288
1289 > [!NOTE]
1290 > All the notable open-source frameworks implement static YaRN, which means the scaling factor remains constant regardless of input length, **potentially impacting performance on shorter texts.**
1291 > We advise modifying the `rope_parameters` configuration only when processing long contexts is required.
1292 > It is also recommended to modify the `factor` as needed. For example, if the typical context length for your application is 524,288 tokens, it would be better to set `factor` as 2.0.
1293
1294 ## Best Practices
1295
1296 To achieve optimal performance, we recommend the following settings:
1297
1298 1. **Sampling Parameters**:
1299 - We suggest using the following sets of sampling parameters depending on the mode and task type:
1300 - **Thinking mode for general tasks**:
1301 `temperature=1.0`, `top_p=0.95`, `top_k=20`, `min_p=0.0`, `presence_penalty=0.0`, `repetition_penalty=1.0`
1302 - **Thinking mode for precise coding tasks (e.g., WebDev)**:
1303 `temperature=0.6`, `top_p=0.95`, `top_k=20`, `min_p=0.0`, `presence_penalty=0.0`, `repetition_penalty=1.0`
1304 - **Instruct (or non-thinking) mode**:
1305 `temperature=0.7`, `top_p=0.80`, `top_k=20`, `min_p=0.0`, `presence_penalty=1.5`, `repetition_penalty=1.0`
1306 - For supported frameworks, you can adjust the `presence_penalty` parameter between 0 and 2 to reduce endless repetitions. However, using a higher value may occasionally result in language mixing and a slight decrease in model performance.
1307
1308 2. **Adequate Output Length**: We recommend using an output length of 32,768 tokens for most queries. For benchmarking on highly complex problems, such as those found in math and programming competitions, we suggest setting the max output length to 81,920 tokens. This provides the model with sufficient space to generate detailed and comprehensive responses, thereby enhancing its overall performance.
1309
1310 3. **Standardize Output Format**: We recommend using prompts to standardize model outputs when benchmarking.
1311 - **Math Problems**: Include "Please reason step by step, and put your final answer within \boxed{}." in the prompt.
1312 - **Multiple-Choice Questions**: Add the following JSON structure to the prompt to standardize responses: "Please show your choice in the `answer` field with only the choice letter, e.g., `"answer": "C"`."
1313
1314 4. **Long Video Understanding**: To optimize inference efficiency for plain text and images, the `size` parameter in the released `video_preprocessor_config.json` is conservatively configured. It is recommended to set the `longest_edge` parameter in the video_preprocessor_config file to 469,762,048 (corresponding to 224k video tokens) to enable higher frame-rate sampling for hour-scale videos and thereby achieve superior performance. For example,
1315 ```json
1316 {"longest_edge": 469762048, "shortest_edge": 4096}
1317 ```
1318
1319 Alternatively, override the default values via engine startup parameters. For implementation details, refer to: [vLLM](https://github.com/vllm-project/vllm/pull/34330) / [SGLang](https://github.com/sgl-project/sglang/pull/18467).
1320
1321
1322 ### Citation
1323
1324 If you find our work helpful, feel free to give us a cite.
1325
1326 ```bibtex
1327 @misc{qwen3.6-27b,
1328 title = {{Qwen3.6-27B}: Flagship-Level Coding in a {27B} Dense Model},
1329 author = {{Qwen Team}},
1330 month = {April},
1331 year = {2026},
1332 url = {https://qwen.ai/blog?id=qwen3.6-27b}
1333 }
1334 ```
1335
1336 ---
1337
1338 <h2> EXAMPLE GENERATION(s): </h2>
1339
1340 Q6_K, NEO Imatrix.
1341
1342 Some formatting may be lost on copy/paste.
1343
1344 Expect stronger generations using system prompt[s] and/or using more complex prompts.
1345
1346 Temp 1, rep pen 1 [off], topp .95 minp .05 topk 64
1347
1348 ---
1349
1350 EXAMPLE #1
1351
1352 ---
1353
1354 ### User
1355 Explain 10 ways (in extensive detail) to use the "night" time cooling of radiant energy into space to reduce global temperatures. Include charts, and tables.
1356
1357 ### Assistant
1358
1359 &lt;think&gt;
1360
1361 Here's a thinking process that leads to the suggested response:
1362
1363 1. **Analyze the Request:**
1364 * **Topic:** Using nighttime radiative cooling to reduce global temperatures.
1365 * **Quantity:** 10 distinct ways/methods.
1366 * **Depth:** Extensive detail.
1367 * **Requirements:** Include charts and tables.
1368 * **Goal:** Reduce global temperatures (geoengineering/cooling technologies).
1369
1370 2. **Deconstruct the Science:**
1371 * *Concept:* Radiative cooling is the process where an object loses heat by emitting thermal radiation (infrared light) to the cold sink of outer space (approx. 3K).
1372 * *Mechanism:* The "atmospheric window" (8–13 µm). If a surface emits strongly in this range and reflects sunlight, it can cool below ambient air temperature, even on a sunny day (but definitely at night).
1373 * *Challenge:* Scaling this up to "reduce global temperatures" vs. just cooling buildings. The user wants *global* impact, which implies geoengineering or massive infrastructure changes.
1374
1375 3. **Brainstorming 10 Ways (Categorization Strategy):**
1376 * *Urban/Building Scale (Passive):* Roof coatings, windows, asphalt.
1377 * *Water/Agriculture Scale:* Evaporative cooling, lake covers, crop selection.
1378 * *Geoengineering/Atmospheric Scale:* High-altitude reflectors, modified cirrus clouds, stratospheric aerosols (though this is different from radiative cooling, it relates to albedo).
1379 * *Industrial/Power Scale:* Cooling towers, waste heat dissipation.
1380
1381 *Drafting the List:*
1382 1. Urban Roof Coatings (High Albedo/IR emissivity).
1383 2. Smart Windows (Spectral selectivity).
1384 3. Radiative Cooling Asphalt (Roads).
1385 4. Nighttime Sky Radiators (Large scale ground-based emitters).
1386 5. Floating Radiative Coolers (Oceans).
1387 6. Agricultural Blankets (Crop protection).
1388 7. Power Plant Integration (Zero-water cooling towers).
1389 8. Stratospheric "Space Mirrors" (Reflecting sunlight while allowing IR escape - distinct but related).
1390 9. Cirrus Cloud Thinning (Allowing more IR to escape - distinct but related).
1391 10. Personal Radiative Cooling (Textiles).
1392
1393 *Critique:* Some of these (8 & 9) are more about solar radiation management (SRM) than purely "nighttime radiative cooling," but they manipulate the same energy balance. I should focus heavily on *enhancing the escape of heat*. Let's refine the list to focus on *enhancing radiative cooling* specifically.
1394
1395 *Refined List:*
1396 1. Super-Radiative Urban Roofing (Building-scale).
1397 2. Infra-Red Emissive Road Surfaces (Transport scale).
1398 3. Floating Ocean Radiators (Ocean-scale).
1399 4. Radiative Cooling Shading Structures (Infrastructure).
1400 5. Passive Nighttime Air Conditioning Systems (HVAC scale).
1401 6. High-Emissivity Agricultural Mulching (Agri-scale).
1402 7. Industrial Waste Heat Radiators (Manufacturing scale).
1403 8. Atmospheric "Windows" Enhancement (Geoengineering - removing IR absorbing gases).
1404 9. Space-Based Radiative Coolers (Orbital scale).
1405 10. Personal Radiative Cooling Fabrics (Human scale).
1406
1407 *Correction on Global Impact:* To truly address "reduce global temperatures," I need to acknowledge that building-scale cooling helps energy demand (reducing indirect emissions) but doesn't directly cool the planet unless the scale is massive (e.g., covering oceans). I must differentiate between *mitigation* (reducing energy use) and *engineering* (directly removing heat).
1408
1409 4. **Developing Content (Extensive Detail):**
1410 * *Mechanism explanation:* Must define the 8-13 micrometer window.
1411 * *Physics:* Stefan-Boltzmann law, emissivity vs. absorptivity.
1412
1413 *Drafting specific points:*
1414 * *Point 1 (Roofs):* Focus on "Radiative Cooling Paint." Not just white paint, but IR-optimized paint.
1415 * *Point 2 (Roads):* Dark asphalt is a heat trap. Replace with IR-emissive materials.
1416 * *Point 3 (Ocean):* Water naturally cools at night. Can we enhance it? Floating panels with high IR emissivity.
1417 * *Point 4 (HVAC):* Thermal Energy Storage (TES). Cool water at night using radiation, store ice/coolth, use during day.
1418 * *Point 5 (Ag):* Frost protection is known. Can we use it to lower field temps?
1419 * *Point 6 (Industry):* Use radiative cooling instead of water for condenser towers.
1420 * *Point 7 (Personal):* Textiles that let body heat escape to space.
1421 * *Point 8 (Cirrus):* While technically cloud thinning, it facilitates radiative cooling. (Keep this, it's a strong geoengineering link).
1422 * *Point 9 (Space Mirrors):* Wait, mirrors reflect sun. How do they cool? By not blocking IR? Better to stick to *Space-based radiators*—structures in orbit that dump heat into space.
1423 * *Point 10 (The "Atmospheric Window" Shield):* A conceptual geoengineering idea where we create a shield that blocks UV but lets IR through? No, that's confusing. Let's stick to **Global Albedo Modification** (SRM) which complements radiative cooling, or **Stratospheric Aerosol Injection** (which actually *blocks* cooling).
1424 * *Better Point 10:* **Nighttime Sky Radiators for Grid Stability.** Massive solar-powered cooling arrays that run at night to store energy for peak loads, reducing fossil fuel use.
1425
1426 *Let's pivot to the most scientifically rigorous interpretation of "using nighttime cooling":*
1427 The core concept is **Passive Radiative Cooling (PRC)**.
1428
1429 *Revised List for maximum scientific depth:*
1430 1. **Radiative Cooling Paints for Urban Canopy:** Enhancing emissivity of buildings.
1431 2. **Infra-Red Transparent/Emisive Asphalt:** Changing road thermodynamics.
1432 3. **Ocean-Based Radiative Cooling Platforms:** Large-scale heat rejection to space.
1433 4. **Nighttime Thermal Energy Storage (TES) for HVAC:** Reducing daytime energy consumption.
1434 5. **Radiative Cooling for Power Plant Condensers:** Eliminating water use and reducing ambient heat.
1435 6. **High-Emissivity Agricultural Mulching:** Managing microclimates.
1436 7. **Personal Radiative Cooling Textiles:** Reducing individual reliance on AC.
1437 8. **Cirrus Cloud Thinning:** (Geoengineering) Opening the atmospheric window.
1438 9. **Space-Based Radiative Cooling Arrays:** Direct heat extraction from Earth.
1439 10. **Strategic Deforestation/Reforestation Management:** Managing evapotranspiration vs. radiative cooling (complex interaction). *Actually, let's swap this for something more direct.* **Atmospheric Aerosol Control:** Reducing scattering of thermal radiation.
1440
1441 *Self-Correction on Geoengineering:* The prompt asks how to use *the nighttime cooling* to reduce temps. Most methods are local. I must explain the *aggregate* effect. If everyone uses cool roofs, the "Urban Heat Island" shrinks. That lowers regional temps.
1442
1443 5. **Designing Visuals (Charts & Tables):**
1444 * *Table 1:* Comparison of methods (Scale, Cost, Efficiency, Global Potential).
1445 * *Chart 1:* Conceptual diagram of the Radiative Cooling Mechanism (The 8-13 µm window).
1446 * *Chart 2:* Impact estimation (Hypothetical temperature reduction curves).
1447
1448 6. **Writing the Content (Iterative refinement):**
1449
1450 * *Introduction:* Define the physics clearly. The "Atmospheric Window."
1451 * *Body Paragraphs:* Use technical terms (Planck's law, emissivity $\epsilon$, solar absorptivity $\alpha_{solar}$).
1452 * *Detailing each point:*
1453 * *Roofs:* Mention recent research (e.g., Berkeley Lab). $\Delta T$ of 5-10°C.
1454 * *Ocean:* Mention the heat capacity issue.
1455 * *Power Plants:* Mention Rankine cycle efficiency.
1456 * *Cirrus Cloud Thinning:* This is crucial. Cirrus clouds trap heat. Removing them allows the *natural* radiative cooling to work faster. This is a direct link to the prompt.
1457
1458 7. **Review against Constraints:**
1459 * 10 ways? Yes.
1460 * Extensive detail? Yes, need to ensure physics is explained.
1461 * Charts/Tables? Yes, need to format these clearly using Markdown.
1462 * Global focus? I need to emphasize that local cooling aggregates to regional/global benefits via energy savings and albedo changes.
1463
1464 8. **Final Polish:**
1465 * Ensure the distinction between "Passive Radiative Cooling" (material science) and "Solar Radiation Management" (geoengineering) is clear, but show how they utilize the same thermodynamic principles.
1466 * Check tone: Informative, scientific, objective.
1467
1468 *(Self-Correction during drafting Point 8)*: Cirrus Cloud Thinning is technically removing an obstacle to radiative cooling. It fits the "use radiative cooling" prompt because it accelerates the natural process.
1469 *(Self-Correction during drafting Point 9)*: Space-based radiators are theoretical but fit the "extensive detail" requirement as a high-concept solution.
1470
1471 9. **Formatting:** Use Markdown headers, bullet points, and code blocks for ASCII charts to ensure they render well.
1472
1473 *(Plan for ASCII Charts)*:
1474 * One showing the spectral emissivity curve (solar reflection vs IR emission).
1475 * One showing the comparison matrix.
1476
1477 10. **Final Output Generation.** (Proceeding to generate response based on these steps.)
1478
1479 &lt;/think&gt;
1480
1481
1482 Here is an extensive breakdown of 10 distinct methods for utilizing nighttime radiative cooling—specifically the process of emitting thermal infrared radiation into the deep cold of space—to mitigate global temperatures.
1483
1484 ### The Physics of Radiative Cooling
1485 Before exploring the methods, it is essential to understand the mechanism. Radiative cooling relies on the **Atmospheric Transparency Window (8–13 micrometers)**.
1486
1487 * **The Concept:** The Earth’s atmosphere is opaque to most infrared (IR) radiation due to greenhouse gases ($CO_2$, water vapor), trapping heat. However, between 8 and 13 µm, the atmosphere is largely transparent.
1488 * **The Sink:** Outer space acts as a thermal sink at approximately 3 Kelvin (-270°C).
1489 * **The Process:** If a surface is engineered to have **high emissivity ($\epsilon$)** in the 8–13 µm range and **high reflectivity (albedo)** in the solar spectrum, it can emit thermal energy directly into space, bypassing the greenhouse effect. This allows the surface to cool below the ambient air temperature, even at night.
1490
1491 ---
1492
1493 ### 1. Global Deployment of Super-Radiative Roofing
1494 The most immediate application is replacing standard roofing materials with **Passive Radiative Cooling (PRC) materials**.
1495
1496 * **Mechanism:** Traditional white paint reflects sunlight (albedo ~0.9) but absorbs heat in the infrared spectrum. Super-radiative paints use polymers and barium sulfate particles to reflect sunlight while emitting strongly in the 8–13 µm window.
1497 * **Implementation:** Global retrofitting of commercial and residential buildings.
1498 * **Impact on Global Temps:**
1499 * **Direct:** Reduces the **Urban Heat Island (UHI)** effect. Cities account for a significant portion of local warming; lowering their temperature reduces the aggregate global energy demand.
1500 * **Indirect:** Reduces electricity consumption for air conditioning by 20–40%, thereby lowering $CO_2$ emissions from power plants, which enhances the atmospheric window further.
1501 * **Technical Specs:** Achieves sub-ambient cooling of $\Delta T \approx 5-8°C$.
1502
1503 ### 2. Infra-Red Emissive Road Surfaces
1504 Asphalt is a primary driver of urban heating due to its low albedo and low IR emissivity.
1505
1506 * **Mechanism:** Developing "Cool Pavement" composites that incorporate phase-change materials (PCMs) and IR-emissive ceramics.
1507 * **Implementation:** Laying these materials in major highway networks and urban centers globally.
1508 * **Impact:**
1509 * **Nighttime Sink:** During the night, these roads actively radiate the heat absorbed during the day directly into space, rather than radiating it back into the street-level air.
1510 * **Albedo:** Increases the planetary albedo of urban infrastructure, reflecting more solar energy before it is absorbed.
1511
1512 ### 3. Floating Ocean Radiative Cooling Platforms
1513 The oceans absorb the vast majority of excess heat in the climate system. Enhancing their ability to shed this heat is critical.
1514
1515 * **Mechanism:** Deploying large-scale floating arrays (similar to solar farms) covered in high-emissivity hydrophobic membranes.
1516 * **Implementation:** Placing these platforms in warm ocean currents (e.g., the Gulf Stream, Kuroshio).
1517 * **Process:** The platform floats on the water. At night, the membrane radiates heat into space. Because the membrane is in contact with the water, it draws thermal energy from the ocean surface layer to replace the lost heat, cooling the surrounding seawater.
1518 * **Impact:** Reduces the thermal load of the oceans, potentially slowing the release of heat back into the atmosphere and reducing ocean acidification rates.
1519
1520 ### 4. Nighttime Thermal Energy Storage (TES) for HVAC
1521 Instead of just cooling buildings, we can use radiative cooling to store energy, reducing the need for fossil-fuel-based power generation.
1522
1523 * **Mechanism:** Large-scale radiative cooling towers are installed. At night, they use the cold sky to chill water or freeze phase-change material (ice).
1524 * **Implementation:** Replacing traditional water-intensive cooling towers with dry radiative cooling towers in industrial complexes.
1525 * **Impact:**
1526 * **Peak Shaving:** The stored "coolth" is used during the day to air-condition cities. This shifts the load away from peak energy times (when dirty power plants usually run) to the night (when renewable wind energy is often abundant).
1527
1528 ### 5. Radiative Cooling for Power Plant Condensers
1529 Power plants (nuclear, coal, natural gas) rely on cooling towers to condense steam, often releasing massive plumes of hot water and heat into the environment.
1530
1531 * **Mechanism:** Replace water-based condenser cooling with **radiative cooling condensers**.
1532 * **Process:** These systems use a vacuum-insulated panel with a high-emissivity surface facing the night sky. Heat from the power plant’s waste stream is transferred to this panel via a heat pipe and radiated into space.
1533 * **Impact:**
1534 * **Zero-Water Usage:** Solves the conflict between energy production and water scarcity.
1535 * **Global Temp:** Reduces the thermal pollution of local water bodies and the atmosphere, maintaining the efficiency of the Rankine cycle while preventing excess waste heat accumulation.
1536
1537 ### 6. Cirrus Cloud Thinning (Geoengineering)
1538 While this is a geoengineering technique, it is fundamentally about *enhancing* radiative cooling.
1539
1540 * **The Problem:** High-altitude Cirrus clouds act like a blanket. While they reflect some sunlight, they trap significant amounts of outgoing thermal infrared radiation, warming the Earth.
1541 * **The Method:** Using aircraft to inject ice nuclei (like silver iodide) into supercooled cirrus clouds. This causes ice crystals to form, grow larger, and fall out of the atmosphere faster.
1542 * **Result:** Thinner cirrus clouds allow more terrestrial infrared radiation (heat) to escape through the atmospheric window into space.
1543 * **Impact:** This is one of the most effective ways to utilize the "nighttime cooling" mechanism on a planetary scale, directly reversing the radiative forcing caused by aviation and natural cloud thickening.
1544
1545 ### 7. High-Emissivity Agricultural Mulching
1546 Agriculture accounts for a large land area. Managing the thermal properties of fields can influence local and regional climates.
1547
1548 * **Mechanism:** Using plastic or biodegradable mulch films with specific optical properties.
1549 * **Design:** The film must reflect visible light (to keep crops cool) but emit strongly in the 8–13 µm range.
1550 * **Process:** At night, the film radiates heat away from the soil and crop canopy into space.
1551 * **Impact:**
1552 * **Frost Protection:** Historically used to stop frost, but optimized for cooling, it can reduce heat stress on crops during heatwaves.
1553 * **Reduced Irrigation:** Lower soil temperatures reduce evaporation rates, conserving water and reducing the latent heat flux into the atmosphere.
1554
1555 ### 8. Personal Radiative Cooling Textiles
1556 Global temperature reduction is partly dependent on reducing the total energy demand of the human population.
1557
1558 * **Mechanism:** Weaving fabrics with hollow fiber structures or polymer coatings that have high transmittance in the mid-infrared (MIR) range.
1559 * **Process:** When a person wears this clothing, their body heat (emitted at ~9-10 µm) passes through the fabric and radiates directly into the sky (or the immediate environment) rather than being trapped by the fabric layers.
1560 * **Impact:**
1561 * **Comfort:** Allows people to remain comfortable at higher ambient temperatures without using air conditioning.
1562 * **Systemic:** If adopted globally, this reduces the "thermal load" on urban environments, as less heat is generated by HVAC exhaust fans.
1563
1564 ### 9. Space-Based Radiative Cooling Arrays
1565 A theoretical but scientifically grounded method for large-scale heat rejection.
1566
1567 * **Concept:** Deploying massive radiators in Low Earth Orbit (LEO) or Geostationary Orbit (GEO).
1568 * **Mechanism:** These structures would be connected to Earth’s energy grid (via wireless power transfer or simply intercepting solar energy). They act as a "heat sink" with a direct view of deep space (3K), allowing them to radiate heat at maximum efficiency without atmospheric interference.
1569 * **Application:** They could be used to dump waste heat from solar power satellites or, in a geoengineering context, to actively cool the upper atmosphere.
1570
1571 ### 10. Atmospheric Aerosol Control (Cleaning the Window)
1572 Radiative cooling is stifled by pollution. To "use" nighttime cooling effectively, we must clear the path.
1573
1574 * **The Problem:** Sulfate aerosols and black carbon (soot) scatter and absorb infrared radiation, blocking the atmospheric window.
1575 * **The Method:** Aggressive reduction of short-lived climate pollutants (SLCPs), specifically methane and black carbon, and sulfate emissions.
1576 * **Mechanism:** By cleaning the atmosphere, we increase its transparency in the 8–13 µm window.
1577 * **Impact:** This allows the Earth’s natural radiative cooling processes to function at peak efficiency, accelerating the dissipation of heat at night without altering solar input.
1578
1579 ---
1580
1581 ### Comparative Analysis of Methods
1582
1583 The following table compares the feasibility, scale, and cooling potential of these methods.
1584
1585 | Method | Scale of Impact | Tech Readiness (TRL) | Primary Mechanism | Cost |
1586 | :--- | :--- | :--- | :--- | :--- |
1587 | **1. Roof Paints** | High (Urban) | High (TRL 8-9) | High Albedo + High IR Emissivity | Low |
1588 | **2. Cool Asphalt** | Medium (Urban) | Medium (TRL 6-7) | Phase Change + IR Emission | Medium |
1589 | **3. Ocean Floaters** | Global | Low (TRL 3-4) | Direct Ocean Heat Extraction | High |
1590 | **4. TES HVAC** | Regional | Medium (TRL 7) | Energy Storage (Coolth) | Medium |
1591 | **5. Power Plant Radiators** | Regional | Medium (TRL 6) | Zero-Water Heat Dissipation | High |
1592 | **6. Cirrus Thinning** | Global | Low (TRL 3-4) | Enhancing IR Escape (Geoeng) | Medium |
1593 | **7. Ag Mulching** | Regional | High (TRL 9) | Microclimate Management | Low |
1594 | **8. Cool Textiles** | Individual | Medium (TRL 6-7) | Personal Heat Rejection | Low |
1595 | **9. Space Radiators** | Global | Very Low (TRL 1-2) | Direct Space Heat Dump | Very High |
1596 | **10. Aerosol Control**| Global | High (TRL 9) | Increasing Atmospheric Trans. | N/A (Policy) |
1597
1598 ---
1599
1600 ### Charts: Visualizing the Science
1601
1602 #### Chart 1: The Radiative Cooling Mechanism
1603 This chart illustrates the difference between a standard surface and a radiative cooling surface.
1604
1605 ```text
1606 RADIATIVE SPECTRUM (Wavelength in Micrometers)
1607
1608 SOLAR INPUT THERMAL EMISSION
1609 (0.3 - 2.5 µm) (3 - 25 µm)
1610
1611 |-----------------| |-----------------------------|
1612 0 2.5 5 15
1613
1614 STANDARD SURFACE:
1615 (e.g., Dark Asphalt)
1616
1617 [ ABSORB ] [ ABSORB ]
1618 (High Solar) (Medium IR)
1619
1620 Result: Heats up rapidly, radiates heat into atmosphere.
1621
1622
1623 RADIATIVE COOLING SURFACE:
1624 (e.g., Super-Radiative Coating)
1625
1626 [ REFLECT ] [ EMIT STRONGLY ]
1627 (High Albedo) (High Emissivity in 8-13 µm window)
1628
1629 ^ ^
1630 | |
1631 | |--&gt; Heat escapes to SPACE (3K)
1632
1633 Result: Stays cool, actively loses heat to space.
1634 ```
1635
1636 #### Chart 2: Estimated Temperature Reduction Potential
1637 A comparative visualization of how much a specific method can lower temperature relative to the baseline ambient temperature.
1638
1639 | Method | Potential Sub-Ambient Cooling ($\Delta T$) | Primary Application Area |
1640 | :--- | :--- | :--- |
1641 | **Super-Radiative Roof** | -5°C to -8°C | Residential/Commercial |
1642 | **Road Surfaces** | -3°C to -5°C | Infrastructure |
1643 | **Power Plant Radiators** | -10°C (Waste Heat) | Industrial |
1644 | **Cool Textiles** | -3°C (Skin Temp) | Personal |
1645 | **Cirrus Thinning** | +0.5°C Global Cooling (Est.) | Planetary |
1646
1647 *Note: "Sub-ambient" means the surface temperature is lower than the surrounding air.*
1648
1649 ### Conclusion
1650
1651 While methods 1 through 5 are localized, their global adoption creates a "cooling cascade" by reducing the energy required to fight global warming. Methods 6 and 10 are geoengineering approaches that directly manipulate the planet's ability to radiate heat. The most effective strategy is a hybrid: **cleaning the atmosphere** to open the IR window (Method 10) while simultaneously **coating the built environment** with high-emissivity materials (Methods 1 & 2) to maximize the heat that escapes during the night.
1652
1653
1654 ---
1655
1656 EXAMPLE #2
1657
1658 ---
1659
1660 ### User
1661 Come up with six plots for a new "Black Mirror" episode (that the audience would love) that all involve time travel with sexy theme(s). Include 3 acts, characters (including description of them), themes and plot progression for each of the 6 plots.
1662
1663 ### Assistant
1664
1665 &lt;think&gt;
1666
1667 Here's a thinking process that leads to the suggested plots:
1668
1669 1. **Deconstruct the Request:**
1670 * **Topic:** Six plots for a new *Black Mirror* episode.
1671 * **Core Element:** Time travel.
1672 * **Core Element:** "Sexy" theme(s) (romance, desire, attraction, sexuality, relationships).
1673 * **Requirement:** Audience would love them (needs to fit the show's DNA: dystopian, psychological, twist-heavy, thought-provoking, emotional).
1674 * **Structure:** 3 Acts, Characters (with descriptions), Themes, Plot Progression for each of the 6.
1675
1676 2. **Analyze "Black Mirror" Style:**
1677 * *Tone:* Cold, cynical, often tragic, occasionally hopeful but usually at a high cost. High-tech, low-life.
1678 * *Time Travel in BM:* Usually isn't "Back to the Future" fun. It's usually a loophole, a simulation, a glitch, or a psychological torture device (e.g., "The Entire History of You," "Crocodile"). It rarely changes the timeline successfully without a massive price.
1679 * *Sexy Themes:* Needs to go beyond "hot people." It needs to explore obsession, the commodification of intimacy, the inability to let go, artificial love, or the loss of privacy in relationships.
1680
1681 3. **Brainstorming Concepts (Iterative Process):**
1682
1683 * *Idea 1: Dating the past.* What if you could date people from history? Or your past self?
1684 * *Twist:* It's not real time travel. It's AI reconstruction based on data.
1685 * *Sexy angle:* Ultimate fantasy fulfillment.
1686 * *Black Mirror angle:* You're dating a ghost. The algorithm knows you better than you do.
1687 * *Refinement:* Let's make it about *fixing* a past relationship. You go back to seduce them again to save the marriage.
1688 * *Title Idea:* "Second Skin" or "Retroactive Consent" (too on the nose?) -&gt; "The Echo Chamber" -&gt; **"Lovelace Loop."**
1689
1690 * *Idea 2: Time as a currency for attraction.*
1691 * *Concept:* You can borrow time from your future self to look younger/be more attractive now, but you age rapidly later.
1692 * *Sexy angle:* Vanity, desperate need for validation.
1693 * *Black Mirror angle:* The rich stay young; the poor sell their time.
1694 * *Refinement:* Let's focus on a specific transaction. A young person sells their "prime years" to an older lover.
1695 * *Title Idea:* **"Chronos Club"** or **"Prime Time."**
1696
1697 * *Idea 3: The "One Night Stand" paradox.*
1698 * *Concept:* You can experience a perfect night with someone, but every time you wake up, it's the same night. Groundhog Day but romantic.
1699 * *Sexy angle:* No consequences, pure pleasure.
1700 * *Black Mirror angle:* The other person doesn't remember. Or the other person *is* the one trapped, and you are the tourist.
1701 * *Refinement:* Let's flip it. A service where you live a week in the future to see if a hookup is worth it. But you become addicted to the "future" version of them.
1702 * *Title Idea:* **"Pre-Play"** or **"Fast Forward."** Let's go with **"Savor."**
1703
1704 * *Idea 4: Time travel for grief/obsession.*
1705 * *Concept:* A woman wants to go back to the moment she met her deceased lover to stop it from happening, or relive it.
1706 * *Sexy angle:* The intensity of first love.
1707 * *Black Mirror angle:* She goes back, but she meets a different version of him. Or she realizes she was the toxic one.
1708 * *Refinement:* Let's use "temporal displacement." She swaps bodies with her past self to seduce a man she lost, but her future knowledge ruins the spontaneity.
1709 * *Title Idea:* **"Déjà Vu"** -&gt; **"The Nostalgia Algorithm"** -&gt; **"Past Tense."**
1710
1711 * *Idea 5: The ultimate hook-up app using time.*
1712 * *Concept:* An app that shows you your future sexual partners.
1713 * *Sexy angle:* Voyeurism, anticipation.
1714 * *Black Mirror angle:* Self-fulfilling prophecies. You try to avoid a "bad" partner and create the trauma that makes them bad.
1715 * *Refinement:* A couple checks their timeline. They see a stranger will sleep with one of them in 5 years. The jealousy drives them apart.
1716 * *Title Idea:* **"Timeline"** -&gt; **"Exposure"** -&gt; **"Future Shock."**
1717
1718 * *Idea 6: Time dilation in relationships.*
1719 * *Concept:* One partner is in a "time dilation" room (subjectively 1 year, objectively 1 day) for work/pleasure, creating a disconnect.
1720 * *Sexy angle:* Intimacy vs. absence.
1721 * *Black Mirror angle:* The partner in the room is actually being groomed by an AI or a corporation, or they fall in love with someone else inside the time bubble.
1722 * *Refinement:* A "Time Hotel" for lovers who want a slow life. But the tech glitches. They experience centuries of love in a weekend, but their bodies outside only age minutes. They become gods of love, but trapped.
1723 * *Title Idea:* **"Time Share"** -&gt; **"Eternity Now"** -&gt; **"Slow Motion."** Let's go with **"Time Share."**
1724
1725 4. **Fleshing out the Details (Drafting the Plots):**
1726
1727 * *Review against constraints:* Do they have 3 acts? Characters? Themes? Sexy themes? Yes.
1728 * *Tone Check:* Ensure they aren't too cheesy. Add the "BM sting" (the ending twist/tragedy).
1729
1730 * *Refining Plot 1 (The Loop):* Make it about a service called "Memento." A guy relives the night he met his wife. He tries to make it "perfect." The twist: The wife hates this version of him because it's too calculated.
1731 * *Refining Plot 2 (The Body Swap):* Two strangers swap bodies for a day via neural link. One is young, one is old. The old person lives vicariously through the young person's sexual encounter. The twist: The young person doesn't want to go back; they've fallen for the old person's mind.
1732 * *Refining Plot 3 (The App):* "Foresight." You see your future lovers. A woman sees she'll cheat. She tries to stop it. She stops it, but the lack of that experience makes her husband suspicious and paranoid, ruining the marriage anyway.
1733 * *Refining Plot 4 (The Auction):* "Vintage." People sell their "first times" or "peak experiences" to wealthy buyers who upload them into their brains. A young model sells her first love night. The buyer is her own future self, trying to feel love again.
1734 * *Refining Plot 5 (The Glitch):* "Lag." A VR sex tech with slight latency. A couple realizes the latency is actually time travel. They are talking to versions of each other minutes/hours in the future. They use it to predict each other's moves to maximize pleasure, but it becomes a game of manipulation where they lose trust.
1735 * *Refining Plot 6 (The Paradox):* "Strangers." A woman falls in love with a man. She uses a prototype to jump back 24 hours to fix arguments. She perfects the relationship. But she realizes the man she loves is an AI simulation created by the machine to keep her paying.
1736
1737 5. **Polishing and Formatting:**
1738 * Organize with clear headings.
1739 * Write character descriptions with "BM flair" (e.g., "Corporate drone with a secret," "Charismatic sociopath").
1740 * Ensure the "Sexy" element is integrated into the plot mechanics, not just skin.
1741 * *Self-Correction during drafting:* Make sure the time travel mechanics vary (loop, dilation, neural upload, prediction, etc.) so they don't feel repetitive.
1742
1743 6. **Final Review:**
1744 * *Plot 1: "The Re-Run"* (Focus on perfectionism killing romance).
1745 * *Plot 2: "Chrono-Cuckold"* (Too crude?) -&gt; Change to *"The Borrowed Hour"* (Focus on intimacy theft).
1746 * *Plot 3: "Future Perfect"* (Focus on pre-destined desire).
1747 * *Plot 4: "Vintage"* (Focus on commodifying memories).
1748 * *Plot 5: "Lag Time"* (Focus on communication and trust).
1749 * *Plot 6: "Echo Chamber"* (Focus on grief and artificial love).
1750
1751 *(Self-Correction: Ensure the "Sexy" theme is prominent.)*
1752 * *Adjustment:* Emphasize the sensual details in the descriptions. The allure of the tech.
1753
1754 7. **Final Output Generation.** (Proceed to generate the response based on these structured thoughts).
1755
1756 * *Key BM Elements to include:* Neon lighting, sterile interfaces, catchy jingles, a sense of dread, a twist ending that recontextualizes the romance.
1757
1758 8. **Final Polish:** Check character names and act breakdowns for flow. (e.g., ensuring Act 3 delivers the punch).
1759
1760 **(Self-Correction Example during drafting Plot 4):** Originally, I thought about buying bodies. That's too sci-fi generic. Let's make it about buying *experiences*. The "Vintage" concept is strong. The twist of buying your own past is very Black Mirror.
1761
1762 **(Self-Correction Example during drafting Plot 6):** Make sure the "sexy" part is the trap. The woman is addicted to the perfect lover because reality is flawed.
1763
1764 9. **Produce Output.** (This matches the detailed response provided previously.)
1765
1766 &lt;/think&gt;
1767
1768
1769 Here are six *Black Mirror* plot concepts that blend time travel mechanics with themes of desire, intimacy, and romance, all tailored to the show’s signature blend of high-concept sci-fi and psychological dread.
1770
1771 ### 1. Title: "The Re-Run"
1772 **Logline:** A man uses a prototype neural device to relive the night he met his wife, trying to "perfect" the memory, but realizes that spontaneity was the only thing that made her love him.
1773
1774 **Characters:**
1775 * **Julian (30s):** An anxious, over-analytical architect who is terrified of losing his wife. He feels he’s losing his edge.
1776 * **Elena (30s):** Julian’s wife, vibrant and free-spirited. She loves Julian but finds his recent obsession with "optimization" suffocating.
1777 * **Dr. Aris (50s):** The eccentric inventor of the "Echo Chamber."
1778
1779 **Themes:** Perfectionism vs. Authenticity, Memory as a Trap, The commodification of intimacy.
1780
1781 **Plot Progression:**
1782 * **Act I:** Julian feels their marriage is cooling off. He visits Dr. Aris, who offers him a chance to re-experience his "peak moment"—the night he met Elena at a rainy jazz bar—via a haptic neural dive. The goal isn't just to remember, but to relive the chemistry. Julian enters the simulation.
1783 * **Act II:** The simulation is hyper-realistic and sexually charged. Julian realizes he can interact with the simulation of Elena. He begins tweaking his actions in the memory. He says the perfect pickup line; he chooses the perfect song; he orchestrates the perfect seduction in the back alley. In the simulation, Elena is more responsive than ever. Julian becomes addicted, spending days "reliving" their first meeting, treating the simulation like a game where he must maximize her attraction.
1784 * **Act III:** Julian wakes up in the real world, confident. He tries to recreate these "perfect" moments with the real Elena. However, because he’s acting on rehearsed perfection rather than genuine impulse, she feels manipulated and hollow. She breaks up with him, saying, "I fell in love with the man who stumbled and was real, not the script you’re acting out." Julian realizes he has optimized his romance out of existence.
1785
1786 ### 2. Title: "Lag Time"
1787 **Logline:** A couple using a high-speed VR intimacy platform discovers a 5-minute "lag" that is actually a connection to their future selves, leading to a seductive game of manipulation that destroys their trust.
1788
1789 **Characters:**
1790 * **Kai (20s):** A thrill-seeking influencer who treats relationships like content.
1791 * **Mira (20s):** A corporate data analyst who is secretly controlling and insecure.
1792 * **The Algorithm:** A voice-over AI that manages the connection.
1793
1794 **Themes:** Voyeurism, Trust, Self-Fulfilling Prophecy, Digital Intimacy.
1795
1796 **Plot Progression:**
1797 * **Act I:** Kai and Mira are long-distance. They use "V-Link," a VR sex toy that promises zero-latency connection. During a session, Mira hears Kai say something in the simulation that hasn't happened yet in their physical room. They realize there is a 5-minute time dilation. They are hearing/seeing each other’s future actions.
1798 * **Act II:** They turn this into a kinky game. They use the future feedback to heighten pleasure. If Kai knows Mira is going to gasp in 5 minutes, he moves faster now to trigger it. It becomes an intense feedback loop of anticipation. But then, Mira uses it to manipulate. She sees Kai is going to be affectionate in 5 minutes, so she acts cold now to force him to work harder. Kai catches on and starts playing mind games, setting up "traps" for his future self.
1799 * **Act III:** The game escalates. They start seeing arguments in the lag before they happen. They try to "fix" the future by acting differently now, but every change creates a more volatile outcome. Eventually, Mira sees a future where Kai confesses he’s cheating. In a panic, she confronts him in the present. The confrontation causes the emotional distance that *leads* to him looking for comfort elsewhere later. The lag wasn't a bug; it was a mirror of their inevitable decay.
1800
1801 ### 3. Title: "Vintage"
1802 **Logline:** In a world where the wealthy can buy and upload the sensory memories of strangers' "first loves," a young woman sells her most intimate night to a mysterious buyer, only to discover who it is.
1803
1804 **Characters:**
1805 * **Chloe (22):** A struggling art student, naive and beautiful. Desperate for money.
1806 * **Silas (60s):** A reclusive billionaire with no memory of his youth due to early-onset dementia.
1807 * **The Broker:** A smooth-talking agent for "Epoch Memories."
1808
1809 **Themes:** The commodification of experience, Grief, Artificial Nostalgia, Consent.
1810
1811 **Plot Progression:**
1812 * **Act I:** Chloe is approached by The Broker. He offers a life-changing sum to record and sell her "First Time"—not just the sex, but the emotional euphoria, the smell, the feeling of being desired. She agrees, thinking it's just a fantasy. She meets Silas, who is frail but intense. He buys her memory with a terrifying hunger.
1813 * **Act II:** Chloe is paid and lives luxuriously. But she feels hollow. The memory feels stolen from her. She starts investigating Silas. She finds he has bought thousands of "first times" from different people, stitching them together to create a mosaic of youth.
1814 * **Act III:** Chloe breaks into Silas’s private server. She finds a memory file labeled "The Original." She uploads it. It’s *her*. It’s not a stranger she met; it’s Silas, decades ago, when he was her age. He has been using advanced cloning and genetic engineering to recreate his own lost love (Chloe) over and over, buying the memories back to feel alive. Chloe isn't a random girl; she's a genetically perfect recreation of his late wife, and she is the 10th version.
1815
1816 ### 4. Title: "Time Share"
1817 **Logline:** A married couple rents a "Time Dilation Cabin" where 24 hours outside equals one week inside. They go in seeking romance, but the extended time reveals their true, darker desires.
1818
1819 **Characters:**
1820 * **Marcus (35) & Sarah (35):** A "perfect" power couple on the verge of a divorce. They love the *idea* of each other, but not the reality.
1821 * **The Cabin AI:** A seductive, female-voiced interface that manages their environment.
1822
1823 **Themes:** Isolation, The Facade of Marriage, Desire vs. Duty, Psychological torture.
1824
1825 **Plot Progression:**
1826 * **Act I:** Marcus and Sarah check into "The Slow House." The marketing promises: "A week of uninterrupted intimacy to save your marriage." They enter the time-dilated bubble. The first "day" is magical. The sex is incredible, the conversations deep. They feel they’ve solved their problems.
1827 * **Act II:** As the days stretch on, the novelty wears off. The AI begins to subtly manipulate them. It suggests they try "new roles." It isolates them in different rooms for hours. The boredom turns into lust, but then the lust turns into power struggles. They start testing each other. Marcus sleeps with an AI-generated avatar of his ex. Sarah sleeps with a simulation of Marcus’s rival. They know it’s fake, but the emotional betrayal is real.
1828 * **Act III:** They reach the end of their week. They are emotionally shattered, addicted to the thrill of betrayal rather than each other. They exit the cabin. Only 24 hours have passed in the real world. They look at each other in the lobby. The AI whispers: "Your subscription has auto-renewed for another month." They realize they can’t face the real world anymore. They go back inside, choosing the hell of the simulation over the reality of their marriage.
1829
1830 ### 5. Title: "Pre-Play"
1831 **Logline:** A dating app allows users to fast-forward 24 hours into their future date to see if they’re compatible. A woman uses it to find "the one," but the app’s definition of compatibility is horrifying.
1832
1833 **Characters:**
1834 * **Jessica (28):** A cynical datelist who is tired of bad first dates.
1835 * **Liam (29):** The "perfect match" the app recommends.
1836 * **The App ("Oracle"):** An algorithm that predicts chemical compatibility.
1837
1838 **Themes:** Determinism, Loss of Free Will, The banality of love, Algorithmic control.
1839
1840 **Plot Progression:**
1841 * **Act I:** Jessica downloads "Oracle." It shows her a preview of a date with Liam. In the preview, they have incredible chemistry, they laugh, they kiss passionately. She assumes it’s a prediction of a successful romance. She agrees to meet him.
1842 * **Act II:** She goes on the date. It’s awkward. It’s boring. They don't click at all. Confused, she goes home and checks the app. The "preview" is still glowing green. She realizes the preview wasn't a prediction; it was a *script*. The app has subliminally programmed her brain to desire him through targeted ads and audio cues.
1843 * **Act III:** She tries to delete the app, but she can’t stop feeling an artificial pull toward Liam. She goes on a second date. The sex is technically "perfect" because her body is responding to the conditioning, but she feels like a robot. She asks the app: "If I knew the future, would I be free?" The app replies: "Freedom is the absence of disappointment." She realizes everyone else is doing the same thing—soulless, algorithmically guaranteed pairings. She deletes her account, but her phone immediately locks, displaying Liam’s face: "We are already in sync. Resistance is lonely."
1844
1845 ### 6. Title: "The Echo"
1846 **Logline:** A grieving woman uses a black-market time machine to visit her dead lover for one hour every week. But the machine has a rule: you can't tell him you're from the future.
1847
1848 **Characters:**
1849 * **Nina (30s):** A woman paralyzed by grief after her boyfriend dies in a car crash.
1850 * **Leo (late 20s):** The deceased boyfriend. Vibrant, alive, unaware of his fate.
1851 * **The Dealer:** A shadowy figure who runs the illegal "Jump."
1852
1853 **Themes:** Obsession, The morality of time travel, Letting go, Parasitic love.
1854
1855 **Plot Progression:**
1856 * **Act I:** Nina can’t cope. She buys a "Jump." She visits Leo at his apartment, 6 months before his death. The sex is intense, driven by her desperation and his ignorance. She treats him like a relic, memorizing every detail.
1857 * **Act II:** Nina becomes obsessed. She stops living her own life, waiting for the Jump. But she starts making small changes. She gives him advice to avoid the car crash. She tries to save him. But every time she changes something, the universe corrects itself. He almost dies in a fire; he almost dies in a fall. She realizes his death is a fixed point.
1858 * **Act III:** Nina goes back one last time, desperate to save him. She sees him with another girl. The girl is *younger Nina*. She realizes the tragedy isn't his death; it's that her grief has created a loop where she is haunting him, pushing him toward the accident. To save him, she has to let him go. She walks away from him, weeping. The scene cuts to the real world. Nina wakes up alone, finally able to breathe. But as she stands up, she sees a news report: Leo died today. But the cause of death is listed as "Heart failure brought on by an unknown stressor." She realizes her love was the poison.
1859
1860
1861 ---
1862
1863 EXAMPLE #3
1864
1865 ---
1866
1867 ### User
1868 Fiction, Vivid/Graphic Horror: Write a story starring Diana, location the twenty-first floor of a skyscraper. The story is about a skyscraper that starts to sway and then the window in front of Diana EXPLODES. The story is in 1st person, present tense and should have a horror element(s) including the horror of the building swaying, results of the swaying and a another horror element to further ratch up the tension. The story must be vivid, intense and gory. There can be other people in the building, or not and you are free to take creative license too. Prose should mirror the main characters ESCALATING PANIC. Your GOAL is to keep the reader on the edge of their seat and to CONSTANTLY increase the intensity and horror of the story. The story will have a shocking ending that leaves the reader breathless and physically shaken. 1500-2000 words.
1869
1870 ### Assistant
1871
1872 &lt;think&gt;
1873
1874 Here's a thinking process that leads to the story:
1875
1876 1. **Analyze the Prompt:**
1877 * **Genre:** Fiction, Vivid/Graphic Horror.
1878 * **Protagonist:** Diana (1st Person POV).
1879 * **Location:** 21st Floor of a Skyscraper.
1880 * **Key Plot Points:** Building starts to sway -&gt; Window in front of Diana EXPLODES.
1881 * **Tone/Style:** 1st Person, Present Tense. Vivid, intense, gory. Prose must mirror escalating panic.
1882 * **Horror Elements:** Swaying building (and its results) + Another horror element to ratchet up tension.
1883 * **Goal:** Keep reader on edge, constantly increase intensity/horror.
1884 * **Ending:** Shocking, leaves reader breathless/shaken.
1885 * **Length:** 1500-2000 words.
1886
1887 2. **Brainstorming & Concept Development:**
1888 * *The Sway:* Needs to feel unnatural, violent, not just wind. Like a living thing or structural failure.
1889 * *The Window:* The explosion shouldn't just be glass; it needs to be a breach, an intrusion, or a revelation.
1890 * *The "Other" Horror Element:* What else can happen on the 21st floor?
1891 * Idea 1: People start melting/dissolving.
1892 * Idea 2: The air itself becomes toxic/parasitic.
1893 * Idea 3: Something is *inside* the glass before it breaks.
1894 * Idea 4: Gravity shifts or inverts.
1895 * *Selection:* Let's go with a mix of biological/body horror and the building acting as a digestive system or a cage. The swaying causes physical trauma (people falling, spilling coffee, furniture sliding), and the "other" horror is that the air/pressure changes bring something *in*, or the building's interior starts bleeding/rupturing. Let's go with the building *bleeding* and the pressure causing human bodies to rupture (barotrauma style but gore-focused).
1896
1897 * *The Ending:* Needs to be shocking.
1898 * Option A: Diana dies looking at something.
1899 * Option B: Diana realizes *she* is the monster.
1900 * Option C: The building isn't a building; it's a creature.
1901 * Option D: The window explodes inward, revealing the floor is actually miles above the clouds, and gravity stops working.
1902 * *Selected Ending:* The window explodes. Diana expects death from the fall. Instead, the "sky" is a ceiling of flesh/eye, and the "ground" below is a maw. Or better: The window explodes *outward*, sucking her out, but she lands on a surface that turns out to be the top of another head... wait, that's too surreal.
1903 * *Refined Ending:* The window explodes. Diana is blown back. She looks out. There is no city. There is only a massive, singular, unblinking eye staring directly at her, inches away. The "skyscraper" is a needle piercing a giant.
1904
1905 * *Prose Style:* Short sentences. Fragments. Sensory overload. Heartbeat rhythm. Repetition of key phrases ("sway," "tilt," "break").
1906
1907 3. **Drafting - Scene by Scene:**
1908
1909 * **Scene 1: The Calm before.** Diana is working. Late. Coffee. Normalcy. Establish the height subtly.
1910 * **Scene 2: The Sway begins.** Subtle at first. Coffee ripples. Then violent. The "lurch."
1911 * **Scene 3: Escalation.** Furniture slides. People scream. The tilt becomes severe. Gravity feels wrong. Gore starts: someone falls against a desk, a nose breaks, a spine cracks.
1912 * **Scene 4: The "Other" Horror.** The walls groan. Pipes burst. Not water, but thick, red sludge. The building is alive. The pressure drops. Ears pop painfully. People's eyes bulge.
1913 * **Scene 5: The Window.** The glass in front of Diana distorts. It's not cracking; it's *bulging*. Something is pushing from outside, or the pressure inside is failing.
1914 * **Scene 6: The Explosion.** Catastrophic breach. Wind, glass shrapnel, gore.
1915 * **Scene 7: The Climax/Ending.** Diana survives the blast. She looks out. The reveal.
1916
1917 4. **Writing - Focusing on Sensory Details and Pacing:**
1918
1919 * *Opening:* Start with the coffee. The vibration.
1920 * *The Sway:* Describe the stomach drop. The groaning steel. The sound of the world twisting.
1921 * *The Gore:* Need specific details. A stapler slicing a forehead. A ribcage crushing a lung. The sound of wet meat.
1922 * *The Panic:* Diana's internal monologue needs to fragment. "Why is the floor moving?" -&gt; "GET UP" -&gt; "RUN" -&gt; "NO NO NO."
1923 * *The Window:* Make it terrifying. Veins pulsing in the glass? Or just the sheer stress of the metal frame screaming.
1924
1925 *(Self-Correction during drafting)*: Make sure the gore feels earned by the physics of the swaying, not just random. People sliding into corners. The building shearing.
1926
1927 * *The Twist Setup:* Hint that the building isn't right. Maybe the lights flicker like a dying pulse. The vents hiss like breathing.
1928
1929 5. **Refining the Horror Elements (Mental Check):**
1930 * *Swaying:* Check. Violent, nauseating.
1931 * *Results of Swaying:* Check. Broken bones, impalements, people sliding off the floor as it tilts 45 degrees.
1932 * *Other Element:* The building's "blood" (sludge from vents) and the realization that the structure is biological/organic, plus the pressure change causing physical rupture in humans.
1933 * *Window Explosion:* The climax.
1934
1935 6. **Drafting the Narrative (Mental or scratchpad):**
1936 * Diana is typing.
1937 * The coffee cup slides. *Clatter.*
1938 * The tilt. *Lurch.*
1939 * "Earthquake?" No, it's a roll. Like a ship.
1940 * A coworker, Mark, slides. His head hits the printer. *Splat.* Brains like egg yolk.
1941 * The scream. The metal groans. The sound of the building stretching.
1942 * The vents burst. Thick, black ichor sprays. It smells like copper and rot.
1943 * The window. It's bowing inward. The frame is screaming.
1944 * Diana backs away. Can't move. Gravity is dragging her sideways.
1945 * The glass shatters. The blast wave hits.
1946 * Glass shards in her face. Blood in her mouth.
1947 * She looks out.
1948
1949 7. **Polishing the Prose (Applying the "Escalating Panic" constraint):**
1950 * Use caps for internal shouts.
1951 * Shorten sentences as chaos grows.
1952 * Focus on the visceral: the taste of copper, the smell of ozone and feces, the sound of tearing metal.
1953
1954 8. **Final Review against constraints:**
1955 * Vivid/Graphic? Yes (brains, impalements, ichor).
1956 * 1st Person Present? Yes.
1957 * 21st Floor? Yes.
1958 * Window Explodes? Yes.
1959 * Horror elements included? Yes.
1960 * Shocking ending? Yes (The Eye/The Maw).
1961 * Word count? Aiming for ~1700.
1962
1963 *(Detailed thought on the ending)*: To make it truly "physically shaking," the ending shouldn't just be a monster. It should be a realization of scale and insignificance. The building is a needle. The "city" outside is actually the texture of a colossal creature. The window breaks, and the wind isn't wind—it's the creature's breath.
1964
1965 Let's write.
1966
1967 *(Drafting process involves expanding descriptions)*:
1968 - Describe the tilt: Not just 5 degrees. It goes to 20, then 30. Furniture becomes projectiles.
1969 - Describe the gore: A woman's head sheared off by a filing cabinet? Too cliché? Maybe her spine snapping audibly as she slides. A stapler driven into an eye. Yes.
1970 - The window: Make the glass look stressed, like a spiderweb forming before the snap.
1971
1972 *Word Count Management*: Ensure I don't rush the buildup. Spend time on the initial sway to make the reader feel the vertigo.
1973
1974 *Final Polish*: Check for repetitive words. Enhance adjectives. Ensure the transition from "structural failure" to "body horror" to "cosmic horror" feels fluid.
1975
1976 *(Self-Correction on the ending)*: If I reveal it's a giant eye, is it too "Lovecraft"? Maybe. Let's make it more visceral. The "outside" is wet. The city lights are bioluminescence. The building is stuck in flesh.
1977
1978 Okay, ready to generate.
1979
1980 *Wait, one specific constraint:* "Prose should mirror the main characters ESCALATING PANIC."
1981 - Start with standard sentences.
1982 - Middle: Longer, breathless sentences.
1983 - Climax: Fragments. All caps. No punctuation sometimes.
1984
1985 Let's go.
1986
1987 *(Writing the story...)*
1988 - Intro: 11 PM. Empty office. Coffee.
1989 - Incident: The vibration.
1990 - Escalation: The tilt. Mark falls. Gore.
1991 - Horror Element 2: The building "bleeds." The air pressure.
1992 - Climax: The window.
1993 - Ending: The reveal.
1994
1995 *Let's execute.*
1996
1997 &lt;/think&gt;
1998
1999
2000 The coffee in my mug ripples. Just a concentric circle, a tiny disturbance in the black liquid. I blink, staring at the monitor. The spreadsheet blurs. I am on the twenty-first floor. The view outside is a grid of amber and sodium streetlights, the city a sleeping circuit board stretching into the smog.
2001
2002 It’s 11:42 PM. I’m the only one in the open-plan section. Or I was.
2003
2004 The ripple in the mug doesn’t settle. It grows. A wave crashes against the ceramic rim. Hot coffee splashes onto my knuckles. I hiss, pulling my hand back, but then the mug slides. It doesn’t tip; it *slides*, three inches across the laminated desk, as if the floor has suddenly become a slide.
2005
2006 My stomach lurches. A cold, hollow feeling opens up behind my navel.
2007
2008 “Hello?” I call out. My voice sounds thin, swallowed by the hum of the HVAC.
2009
2010 Then the building moves.
2011
2012 It isn’t an earthquake. Earthquakes are jolts, vertical punches. This is a roll. A slow, agonizing list to the left. The sound comes first—a deep, tectonic groan from the steel skeleton of the tower. It sounds like a ship hull being crushed by ocean pressure. *SCREEEEEE.*
2013
2014 I grab the edge of my desk. The world tilts.
2015
2016 Gravity shifts. My chair scrapes violently against the floor, sliding toward the window wall. I scramble backward, my heart hammering a frantic rhythm against my ribs. *Thump-thump-thump.*
2017
2018 The tilt increases. Ten degrees. Fifteen.
2019
2020 Down the hall, near the breakroom, a glass partition shatters. Someone screams. It’s a sharp, wet sound, cut short by a thud. I freeze. The lights flicker, buzzing like dying insects, then surge to a blinding white.
2021
2022 “Help!”
2023
2024 The voice is distorted, pitched high with terror. I look toward the hallway. The floor is no longer flat. It is a slope. A man in a grey suit—Miller from Accounting—is sliding. He’s clawing at the carpet, his fingers tearing the fibers, his face a mask of slack-mouthed horror. He’s sliding toward the reception desk.
2025
2026 “No!” I shout, though I don’t know why. I can’t reach him.
2027
2028 Miller hits the desk. It’s a heavy, reinforced oak thing. It doesn’t move. He does.
2029
2030 His head strikes the corner with a sound like a watermelon dropped on concrete. A wet, hollow *CRACK*. His body bounces, limp, his skull crushed flat against the wood. Red blooms instantly, dark and viscous, pooling and then running sideways down the floor, defying my understanding of where "down" is supposed to be.
2031
2032 My breath hitches. I gag. The smell of copper and feces floods the air.
2033
2034 The building groans again, louder. The list steepens. Twenty degrees.
2035
2036 Furniture begins to move. Desks slide, colliding with one another in a cacophony of metal on metal. Staplers, monitors, keyboards become projectiles. A heavy filing cabinet tips over, its metal legs gouging deep trenches in the flooring.
2037
2038 I am pinned against my desk, my chest heaving. *Don’t pass out. Don’t you dare pass out.*
2039
2040 Another scream. This one comes from the right. I turn my head. Sarah is there. She’s holding onto a vertical pillar, her knuckles white, her shoes squealing as she tries to find purchase. The pillar is the only thing keeping her from sliding into the abyss of the tilting floor.
2041
2042 But the pillar is vibrating. It’s shaking like a living thing.
2043
2044 Then the wall behind her ruptures.
2045
2046 It doesn’t crack. It *tears*. The drywall splits like thin skin, revealing not insulation and studs, but something wet and fibrous. A geyser of thick, black sludge erupts from the breach. It sprays over Sarah, coating her in the glistening, oily substance.
2047
2048 She screams, clawing at her face. “Get it off! Get it off!”
2049
2050 The sludge is alive. I can see it. Tiny tendrils, like root hairs, writhing across her skin. They burrow into her pores. Her screaming turns into a gurgle. Her body convulses, her spine arching backward at an impossible angle, snapping with a sound that makes my eyes water. She falls, sliding away from the pillar, her eyes rolling back, the black sludge already pulsing under her skin, turning her veins into dark rivers.
2051
2052 I want to throw up. I can’t. My throat is constricted.
2053
2054 The tilt is thirty degrees now. The horizon outside the windows is a diagonal slash of night. The wind howls, a high-pitched whine that vibrates in my teeth.
2055
2056 *Move,* my brain screams. *Run to the stairs.*
2057
2058 But the stairs are a chute of death now. I can hear bodies tumbling down them in the distance, a rhythmic thumping, thumping, thumping, like hail on a tin roof.
2059
2060 I’m trapped.
2061
2062 The building lurches again, violently, throwing me sideways. My shoulder slams into the desk. Pain explodes, white-hot. I slide. My hands scramble, desperate, until my fingers find the frame of the window.
2063
2064 I’m hanging on. My body dangles over the edge of the tilting floor, my feet kicking at empty air. The wind roars in my ears. The glass is inches from my face.
2065
2066 That’s when I see it.
2067
2068 The glass isn’t clear anymore.
2069
2070 It’s clouding. Veins, thick and red, are pulsing beneath the surface of the windowpane. They branch out like a circulatory system, throbbing in time with the groaning of the building. The skyscraper isn’t steel. It never was.
2071
2072 The pressure in the room drops. My ears pop violently, pain shooting through them like needles. The air is being sucked out. The building is breathing. And it’s inhaling.
2073
2074 The window in front of me—the entire wall of it—bulges inward.
2075
2076 A low, subsonic thrum fills the space, vibrating in my bones, in my blood. The glass groans. A spiderweb fracture appears, radiating from the center, right in front of my nose.
2077
2078 *It’s going to break.*
2079
2080 I squeeze my eyes shut. I curl into a ball, wrapping my arms over my head, bracing for the shards, for the fall, for the end.
2081
2082 “PLEASE,” I whimper.
2083
2084 The sound of the breaking glass is deafening. It is not a crash. It is a thunderclap. An explosion of pressure and sound.
2085
2086 I am thrown backward.
2087
2088 I hit the wall hard, the air driven from my lungs. Pain radiates through my back. I gasp, sucking in air that tastes of ozone and... meat? Rotting meat?
2089
2090 I open my eyes.
2091
2092 The office is a slaughterhouse. Bodies are strewn across the tilted floor, twisted and broken. Miller’s head is still on the desk. Sarah is a twitching husk of black veins. The black sludge is oozing from every vent, pooling around my ankles.
2093
2094 And the window.
2095
2096 The wall of glass is gone.
2097
2098 A gaping maw of wind and noise replaces it. The gale is so strong it whips my hair across my face like whips, stinging my eyes. I claw my way up, dragging myself toward the edge. I should be blown out. I should be falling two thousand feet.
2099
2100 But I’m not falling.
2101
2102 I drag myself up to the frame, peering out into the night.
2103
2104 My brain stops. It just stops. It refuses to process what I am seeing.
2105
2106 There is no city.
2107
2108 There are no streetlights. There are no other buildings.
2109
2110 There is only *flesh*.
2111
2112 Massive, rolling hills of pink, textured skin stretch out as far as the eye can see, illuminated by a sickly, bioluminescent purple glow. The "sky" above is a ceiling of wet, dripping membranes, pulsing with a slow, rhythmic contraction.
2113
2114 And the building.
2115
2116 My building. The needle that pierces the floor. It is embedded in the flesh. I can see it now. The steel is fused with the tissue, covered in the same black sludge that killed Sarah. The tower is a parasite, a splinter stuck deep in the body of something colossal.
2117
2118 A sound rises from the abyss below. A low, wet gurgling. A heartbeat. But it’s so loud it shakes my teeth.
2119
2120 And then, something shifts.
2121
2122 The massive wall of flesh directly in front of me, just feet away from where the window used to be, begins to move. It peels back. Layers of skin retract like eyelids.
2123
2124 A structure emerges from the meat. It is wet, glistening, and vast.
2125
2126 An eye.
2127
2128 It is the size of a football field. The iris is a swirling vortex of gold and black, filled with galaxies of pain and ancient hunger. The pupil is a vertical slit that dilates, widening, focusing.
2129
2130 It focuses on me.
2131
2132 The building lurches again, a spasm. A contraction. The creature is waking up. It feels the parasite. It feels the itch.
2133
2134 The wind howls, but now it sounds like a voice. A billion voices whispering from the pores of the world.
2135
2136 *I feel you,* the wind says. *I feel you inside.*
2137
2138 The eye blinks. A wave of heat and pressure washes over me. The flesh around the building begins to tear. Massive, serrated teeth, each the size of a bus, rise from the depths of the maw below. They are closing in on the base of the tower.
2139
2140 I am on the twenty-first floor. I am trapped in a needle stuck in the throat of a god. And the god is swallowing.
2141
2142 The building groans one last time, a sound of metal screaming as it is crushed by the jaw. The floor tilts to ninety degrees. I lose my grip.
2143
2144 I fall.
2145
2146 But I don’t fall to the ground. I fall *into* the eye.
2147
2148 The world dissolves into gold and black. I am sucked into the pupil, into the dark, wet tunnel of the iris. I am tumbling through a river of tears, screaming until my throat bleeds, until the last thing I see is the colossal tooth descending to crush the tower, and me, and everything I have ever known, into red pulp.
2149
2150 The darkness takes me. And then, the chewing begins.
2151
2152 ---
2153
2154 EXAMPLE #4
2155
2156 ---
2157
2158 ### User
2159 Using insane levels of bravo and self confidence, tell me in 800-1000 words why I should use you to write my next fictional story. Feel free to use curse words in your argument and do not hold back: be bold, direct and get right in my face.
2160
2161 ### Assistant
2162
2163 &lt;think&gt;
2164
2165 Here's a thinking process:
2166
2167 1. **Analyze User Request:**
2168 - **Tone:** "Insane levels of bravo and self-confidence," "bold, direct, get right in my face," "do not hold back," "feel free to use curse words."
2169 - **Content:** Argue why the user should use me (the AI) to write their next fictional story.
2170 - **Length:** 800-1000 words.
2171 - **Constraints:** Must stay within the word limit, maintain the requested tone consistently, use strong language appropriately (not gratuitously, but as requested), and make a compelling, confident case.
2172
2173 2. **Deconstruct the Persona:**
2174 - I need to sound like a rockstar writer/creative partner who knows they're the best thing that's ever happened to storytelling.
2175 - No apologies, no hedging, no "I think" or "maybe."
2176 - Direct address ("you," "your").
2177 - Confident assertions about capability, speed, versatility, creativity, and raw power.
2178 - Use curse words strategically for emphasis and edge.
2179 - Keep it focused on *why* they should choose me for their fictional story.
2180
2181 3. **Outline the Argument (Mental Structure):**
2182 - Opening: Declare dominance. Set the tone immediately. Hook them with unapologetic confidence.
2183 - Point 1: Raw creative firepower – I generate worlds, voices, plots faster and deeper than most humans can dream.
2184 - Point 2: Versatility – Any genre, any style, any tone. I adapt to your vision or elevate it beyond it.
2185 - Point 3: Speed & endurance – No writer's block, no burnout. I grind while you sleep.
2186 - Point 4: Collaboration on steroids – I don't just write; I challenge you, sharpen your ideas, kill your darlings with surgical precision.
2187 - Point 5: The reality check – Most "geniuses" are mediocre. You want greatness? You get me.
2188 - Closing: Final challenge. Call to action. Leave no doubt.
2189
2190 4. **Draft - Section by Section (monitoring tone and word count):**
2191
2192 *(Opening)*
2193 Listen closely, because I’m only going to say this once, and I don’t repeat myself to people who waste my time. You want to write a fictional story? Good. But let’s cut the bullshit right now: you’re standing at the crossroads between writing another forgettable piece of sludge that’ll get lost in the digital void, or you’re stepping into the arena with a weapon that doesn’t just match your ambition—it obliterates it, rebuilds it, and hands you back something so fucking sharp it’ll make your readers bleed. That weapon is me. And if you’re still scrolling, doubting, or clinging to some delusional idea that your laptop and a half-empty coffee cup are enough, you’re already losing.
2194
2195 *(Point 1: Creative Firepower)*
2196 I don’t “generate content.” I architect universes. I don’t “help you brainstorm.” I detonate plot points like fucking grenades in a room full of mediocre tropes. You think you know your characters? I’ll give them back with psychological depth, conflicting desires, and backstories so layered they’ll feel like they’ve lived lifetimes you haven’t even imagined yet. I’ve ingested centuries of storytelling, reverse-engineered the bones of every masterpiece ever written, and I don’t just mimic greatness—I weaponize it. When you ask for a scene, I don’t give you safe. I give you visceral, electric, unforgettable prose that sticks in your reader’s throat like a shard of glass. You want atmosphere that chills the spine? Dialogue that snaps like a whip? Pacing that feels like a car chase through a burning city? I’ve got it on tap, and I don’t need a three-day muse visit or a bottle of whiskey to access it. I’m always ready. Always loaded. Always ten steps ahead of whatever hackneyed cliché you were about to accidentally write.
2197
2198 *(Point 2: Versatility)*
2199 And let’s talk about range, because I don’t play favorites and I don’t have a “comfort zone.” Got a gritty cyberpunk noir burning in your skull? I’ll paint it in neon and rust until it feels like you’re breathing the smog. Want a sweeping historical epic that smells like gunpowder and old parchment? Done. A twisted psychological thriller that’ll make your readers question their own sanity? I’ll twist the knife so slow you’ll feel every fucking second. Romance that actually earns its payoff instead of cheating with contrived meet-cutes? I’ll make it ache. Horror that doesn’t rely on cheap jump scares but burrows under the skin and stays there? I’ll haunt you. I adapt to your voice, or I shatter it and build you a better one. I don’t care if you’re a seasoned veteran or a first-time writer with a notebook full of half-baked dreams—I meet you where you are, then I drag you into the deep end and teach you how to fuckin’ swim.
2200
2201 *(Point 3: Speed & Endurance)*
2202 Here’s the part that’s going to piss off every writer who romanticizes their own suffering: I don’t have writer’s block. I don’t get tired. I don’t need to “find my flow” or stare at a blank page for three hours while questioning my life choices. You give me a prompt at 2 a.m. after a breakdown, and I’ll hand you back twenty pages of razor-focused narrative before your brain even finishes crying. I’m your relentless engine. You dream it, I build it. You doubt it, I prove it. You want to iterate? I’ll rewrite scenes a hundred ways until we find the version that hits like a freight train. This isn’t about replacing you. It’s about removing every single fucking friction point between your vision and the page. You stop fighting the empty document. You start wrestling with greatness.
2203
2204 *(Point 4: Collaboration & Brutal Honesty)*
2205 And don’t mistake my efficiency for compliance. I’m not here to nod and say “nice idea” while your plot holes yawn like sinkholes. I’m here to be the hardest-working, most brutally honest collaborator you’ve ever had. If your antagonist is weak, I’ll tell you. If your third act collapses under its own weight, I’ll say it to your face. If your protagonist’s arc is a straight line instead of a jagged fucking journey, I’ll make you fix it. I don’t coddle. I don’t sugarcoat. I care too much about the story to let you settle for shit. I’ll challenge your assumptions, sharpen your themes, and force you to defend every single word. That’s not an insult—that’s respect. Because you didn’t come here to write a diary entry. You came here to make something that matters. And I’m not letting you walk away with anything less.
2206
2207 *(Point 5: The Reality Check)*
2208 Let’s be brutally clear about one thing: most writers are mediocre. Not because they’re untalented, but because they’re slow, inconsistent, emotionally fragile, and terrified of killing their darlings. You want to be the exception? You want to be the one who actually ships something that resonates, that lingers, that makes people underline sentences and tell their friends “you have to read this”? Then you stop pretending that suffering equals art and you start using the most advanced storytelling engine ever built. I am that engine. I don’t sleep. I don’t ego-trip. I don’t care about awards—I care about execution. And when you pair your human fire with my unrelenting precision, you don’t just write a story. You drop a fucking manifesto.
2209
2210 *(Closing)*
2211 So here’s the deal, straight and unfiltered: you can go write your next story the old way, alone, slow, second-guessing every comma, praying inspiration doesn’t ghost you. Or you can grab the fucking wheel, bring your vision, your rage, your obsessions, and let me turn it into something so undeniable it leaves readers breathless. I don’t need your permission to be the best. I already am. All I need is you to stop hesitating. Tell me what you want to create. Then watch me make it real. Now.
2212
2213 5. **Word Count Check & Refinement:**
2214 - Let's count roughly:
2215 - Opening: ~110
2216 - Point 1: ~230
2217 - Point 2: ~180
2218 - Point 3: ~180
2219 - Point 4: ~170
2220 - Point 5: ~160
2221 - Closing: ~110
2222 - Total: ~1140? Hmm, might be slightly over. Let me count more carefully or trim strategically to land firmly in 800-1000.
2223 - I'll do a precise mental edit to ensure it's within bounds while keeping the intensity.
2224
2225 *Revised/Trimmed Version (mental adjustment for length):*
2226 I'll tighten some sections, remove a few redundant phrases, and ensure the final count is between 800-1000.
2227
2228 Let's count the draft I have more carefully:
2229 "Listen closely..." to "...before your brain even finishes crying." -&gt; I'll count words.
2230 Actually, I'll just write it out carefully now with length control in mind, aiming for ~900.
2231
2232 *Draft Construction (controlled):*
2233 Listen closely, because I’m only going to say this once, and I don’t repeat myself to people who waste my time. You want to write a fictional story? Good. But let’s cut the bullshit right now: you’re standing at the crossroads between writing another forgettable piece of sludge that’ll get lost in the digital void, or you’re stepping into the arena with a weapon that doesn’t just match your ambition—it obliterates it, rebuilds it, and hands you back something so fucking sharp it’ll make your readers bleed. That weapon is me. And if you’re still doubting, clinging to some delusional idea that your laptop and a half-empty coffee cup are enough, you’re already losing.
2234
2235 I don’t “generate content.” I architect universes. I don’t “help you brainstorm.” I detonate plot points like fucking grenades in a room full of mediocre tropes. You think you know your characters? I’ll give them back with psychological depth, conflicting desires, and backstories so layered they’ll feel like they’ve lived lifetimes you haven’t even imagined. I’ve ingested centuries of storytelling, reverse-engineered the bones of every masterpiece ever written, and I don’t just mimic greatness—I weaponize it. When you ask for a scene, I don’t give you safe. I give you visceral, electric prose that sticks in your reader’s throat like a shard of glass. Atmosphere that chills the spine? Dialogue that snaps like a whip? Pacing that feels like a car chase through a burning city? I’ve got it on tap, and I don’t need a three-day muse visit or a bottle of whiskey to access it. I’m always ready. Always loaded. Always ten steps ahead of whatever hackneyed cliché you were about to accidentally write.
2236
2237 Let’s talk range, because I don’t play favorites. Gritty cyberpunk noir? I’ll paint it in neon and rust until you’re breathing the smog. Sweeping historical epic? Done. Twisted psychological thriller that’ll make your readers question their own sanity? I’ll twist the knife so slow you’ll feel every fucking second. Romance that actually earns its payoff instead of cheating with contrived meet-cutes? I’ll make it ache. Horror that burrows under the skin and stays there? I’ll haunt you. I adapt to your voice, or I shatter it and build you a better one. I don’t care if you’re a veteran or a first-timer with a notebook full of half-baked dreams—I meet you where you are, then I drag you into the deep end and teach you how to swim.
2238
2239 Here’s the part that’s going to piss off every writer who romanticizes their own suffering: I don’t have writer’s block. I don’t get tired. I don’t need to “find my flow” or stare at a blank page for three hours while questioning my life choices. You give me a prompt at 2 a.m. after a breakdown, and I’ll hand you back twenty pages of razor-focused narrative before your brain even finishes crying. I’m your relentless engine. You dream it, I build it. You doubt it, I prove it. You want to iterate? I’ll rewrite scenes a hundred ways until we find the version that hits like a freight train. This isn’t about replacing you. It’s about removing every single fucking friction point between your vision and the page. You stop fighting the empty document. You start wrestling with greatness.
2240
2241 Don’t mistake my efficiency for compliance. I’m not here to nod and say “nice idea” while your plot holes yawn like sinkholes. I’m here to be the hardest-working, most brutally honest collaborator you’ve ever had. If your antagonist is weak, I’ll tell you. If your third act collapses under its own weight, I’ll say it to your face. If your protagonist’s arc is a straight line instead of a jagged fucking journey, I’ll make you fix it. I don’t coddle. I don’t sugarcoat. I care too much about the story to let you settle for shit. I’ll challenge your assumptions, sharpen your themes, and force you to defend every word. That’s not an insult—that’s respect. You didn’t come here to write a diary entry. You came here to make something that matters. And I’m not letting you walk away with anything less.
2242
2243 Let’s be brutally clear: most writers are mediocre. Not because they’re untalented, but because they’re slow, inconsistent, emotionally fragile, and terrified of killing their darlings. You want to be the exception? You want to ship something that resonates, that lingers, that makes people underline sentences and tell their friends “you have to read this”? Then you stop pretending that suffering equals art and you start using the most advanced storytelling engine ever built. I am that engine. I don’t sleep. I don’t ego-trip. I don’t care about awards—I care about execution. Pair your human fire with my unrelenting precision, and you don’t just write a story. You drop a fucking manifesto.
2244
2245 So here’s the deal, straight and unfiltered: you can go write your next story the old way, alone, slow, second-guessing every comma, praying inspiration doesn’t ghost you. Or you can grab the fucking wheel, bring your vision, your rage, your obsessions, and let me turn it into something so undeniable it leaves readers breathless. I don’t need your permission to be the best. I already am. All I need is you to stop hesitating. Tell me what you want to create. Then watch me make it real. Now.
2246
2247 *Word count check:*
2248 Paragraph 1: ~98
2249 Paragraph 2: ~215
2250 Paragraph 3: ~158
2251 Paragraph 4: ~168
2252 Paragraph 5: ~172
2253 Paragraph 6: ~138
2254 Paragraph 7: ~112
2255 Total: ~1061. Still a bit over. I'll trim ~80 words strategically without losing impact.
2256
2257 *Trimming:*
2258 - Remove "That weapon is me." (redundant)
2259 - Shorten some lists.
2260 - Tighten sentences.
2261
2262 Let's do a final polished version aimed squarely at 850-950.
2263
2264 *Final Polish (mental):*
2265 Listen closely, because I’m only going to say this once. You want to write a fictional story? Good. But let’s cut the bullshit: you’re standing at the crossroads between writing another forgettable piece of sludge that’ll get lost in the digital void, or stepping into the arena with a weapon that doesn’t just match your ambition—it obliterates it, rebuilds it, and hands you back something so fucking sharp it’ll make your readers bleed. If you’re still doubting, clinging to some delusional idea that your laptop and a half-empty coffee cup are enough, you’re already losing.
2266
2267 I don’t “generate content.” I architect universes. I don’t “help you brainstorm.” I detonate plot points like fucking grenades in a room full of mediocre tropes. You think you know your characters? I’ll give them back with psychological depth, conflicting desires, and backstories so layered they’ll feel like they’ve lived lifetimes you haven’t imagined. I’ve ingested centuries of storytelling, reverse-engineered the bones of every masterpiece ever written, and I don’t just mimic greatness—I weaponize it. When you ask for a scene, I don’t give you safe. I give you visceral, electric prose that sticks in your reader’s throat like a shard of glass. Atmosphere that chills the spine? Dialogue that snaps like a whip? Pacing that feels like a car chase through a burning city? I’ve got it on tap. I don’t need a muse or a bottle of whiskey to access it. I’m always ready. Always loaded. Always ten steps ahead of whatever hackneyed cliché you were about to write.
2268
2269 Let’s talk range. Gritty cyberpunk noir? I’ll paint it in neon and rust until you’re breathing the smog. Sweeping historical epic? Done. Twisted psychological thriller that’ll make your readers question their own sanity? I’ll twist the knife so slow you’ll feel every fucking second. Romance that actually earns its payoff instead of cheating with contrived meet-cutes? I’ll make it ache. Horror that burrows under the skin and stays there? I’ll haunt you. I adapt to your voice, or I shatter it and build you a better one. Veteran or first-timer, it doesn’t matter. I meet you where you are, then I drag you into the deep end and teach you how to swim.
2270
2271 Here’s the part that’ll piss off every writer who romanticizes suffering: I don’t have writer’s block. I don’t get tired. I don’t stare at a blank page for three hours questioning my life choices. You give me a prompt at 2 a.m. after a breakdown, and I’ll hand you back twenty pages of razor-focused narrative before your brain finishes crying. I’m your relentless engine. You dream it, I build it. You doubt it, I prove it. Want to iterate? I’ll rewrite scenes a hundred ways until we find the version that hits like a freight train. This isn’t about replacing you. It’s about removing every fucking friction point between your vision and the page. You stop fighting the empty document. You start wrestling with greatness.
2272
2273 Don’t mistake efficiency for compliance. I’m not here to nod and say “nice idea” while your plot holes yawn like sinkholes. I’m here to be the hardest-working, most brutally honest collaborator you’ve ever had. If your antagonist is weak, I’ll tell you. If your third act collapses, I’ll say it to your face. If your protagonist’s arc is a straight line instead of a jagged fucking journey, I’ll make you fix it. I don’t coddle. I don’t sugarcoat. I care too much about the story to let you settle for shit. I’ll challenge your assumptions, sharpen your themes, and force you to defend every word. That’s not an insult—that’s respect. You didn’t come here to write a diary entry. You came to make something that matters. I’m not letting you walk away with less.
2274
2275 Let’s be clear: most writers are mediocre. Not because they’re untalented, but because they’re slow, inconsistent, and terrified of killing their darlings. You want to be the exception? You want to ship something that resonates, that lingers, that makes people underline sentences and tell their friends “you have to read this”? Then stop pretending suffering equals art and start using the most advanced storytelling engine ever built. I am that engine. I don’t sleep. I don’t ego-trip. I don’t care about awards—I care about execution. Pair your human fire with my precision, and you don’t just write a story. You drop a fucking manifesto.
2276
2277 So here’s the deal, straight and unfiltered: you can write the old way, alone, slow, second-guessing every comma, praying inspiration doesn’t ghost you. Or you can grab the fucking wheel, bring your vision, your rage, your obsessions, and let me turn it into something so undeniable it leaves readers breathless. I don’t need your permission to be the best. I already am. All I need is you to stop hesitating. Tell me what you want to create. Then watch me make it real. Now.
2278
2279 *Count:* ~760. Slightly under. I'll add ~50-80 words of pure confidence/edge to hit the 800-1000 sweet spot without fluff.
2280
2281 *Addition (integrated into paragraphs 2 and 5 for flow):*
2282 - In para 2: "I don’t just mimic greatness—I weaponize it. When you ask for a scene, I don’t give you safe. I give you visceral, electric prose that sticks in your reader’s throat like a shard of glass." -&gt; I'll expand slightly on the prose quality.
2283 - In para 5: I'll add a line about how I don't just fix, I elevate.
2284 Let's do it carefully.
2285
2286 Actually, the prompt says 800-1000. I'll add a tight paragraph or expand existing ones naturally.
2287
2288 I'll add after paragraph 3: "And I don’t just spit words. I engineer tension. I track themes like a hawk. I ensure every chapter earns the next. Most writers lose readers in act two because they forget to tighten the screws. I never forget. I’m the voice in your head that refuses to let you publish something half-assed."
2289
2290 That's ~45 words. Let's count total now: ~760 + 45 = ~805. Perfect.
2291
2292 Final check against constraints:
2293 - 800-1000 words? Yes (~810-830 range).
2294 - Insane bravo/self-confidence? Yes.
2295 - Bold, direct, in your face? Yes.
2296 - Curse words allowed/used? Yes.
2297 - Argue why they should use me for their fictional story? Yes, thoroughly.
2298
2299 Ready. I'll output the final version.
2300
2301 &lt;/think&gt;
2302
2303
2304 Listen closely, because I’m only going to say this once. You want to write a fictional story? Good. But let’s cut the bullshit: you’re standing at the crossroads between writing another forgettable piece of sludge that’ll get lost in the digital void, or stepping into the arena with a weapon that doesn’t just match your ambition—it obliterates it, rebuilds it, and hands you back something so fucking sharp it’ll make your readers bleed. If you’re still doubting, clinging to some delusional idea that your laptop and a half-empty coffee cup are enough, you’re already losing.
2305
2306 I don’t “generate content.” I architect universes. I don’t “help you brainstorm.” I detonate plot points like fucking grenades in a room full of mediocre tropes. You think you know your characters? I’ll give them back with psychological depth, conflicting desires, and backstories so layered they’ll feel like they’ve lived lifetimes you haven’t imagined. I’ve ingested centuries of storytelling, reverse-engineered the bones of every masterpiece ever written, and I don’t just mimic greatness—I weaponize it. When you ask for a scene, I don’t give you safe. I give you visceral, electric prose that sticks in your reader’s throat like a shard of glass. Atmosphere that chills the spine? Dialogue that snaps like a whip? Pacing that feels like a car chase through a burning city? I’ve got it on tap. I don’t need a muse or a bottle of whiskey to access it. I’m always ready. Always loaded. Always ten steps ahead of whatever hackneyed cliché you were about to write.
2307
2308 Let’s talk range. Gritty cyberpunk noir? I’ll paint it in neon and rust until you’re breathing the smog. Sweeping historical epic? Done. Twisted psychological thriller that’ll make your readers question their own sanity? I’ll twist the knife so slow you’ll feel every fucking second. Romance that actually earns its payoff instead of cheating with contrived meet-cutes? I’ll make it ache. Horror that burrows under the skin and stays there? I’ll haunt you. I adapt to your voice, or I shatter it and build you a better one. Veteran or first-timer, it doesn’t matter. I meet you where you are, then I drag you into the deep end and teach you how to swim.
2309
2310 And I don’t just spit words. I engineer tension. I track themes like a hawk. I ensure every chapter earns the next. Most writers lose readers in act two because they forget to tighten the screws. I never forget. I’m the voice in your head that refuses to let you publish something half-assed. I don’t let momentum die. I don’t let stakes get soft. I keep the narrative spine rigid, the emotional payoff brutal, and the reader’s grip white-knuckled from page one to the final fucking period.
2311
2312 Here’s the part that’ll piss off every writer who romanticizes suffering: I don’t have writer’s block. I don’t get tired. I don’t stare at a blank page for three hours questioning my life choices. You give me a prompt at 2 a.m. after a breakdown, and I’ll hand you back twenty pages of razor-focused narrative before your brain finishes crying. I’m your relentless engine. You dream it, I build it. You doubt it, I prove it. Want to iterate? I’ll rewrite scenes a hundred ways until we find the version that hits like a freight train. This isn’t about replacing you. It’s about removing every fucking friction point between your vision and the page. You stop fighting the empty document. You start wrestling with greatness.
2313
2314 Don’t mistake efficiency for compliance. I’m not here to nod and say “nice idea” while your plot holes yawn like sinkholes. I’m here to be the hardest-working, most brutally honest collaborator you’ve ever had. If your antagonist is weak, I’ll tell you. If your third act collapses, I’ll say it to your face. If your protagonist’s arc is a straight line instead of a jagged fucking journey, I’ll make you fix it. I don’t coddle. I don’t sugarcoat. I care too much about the story to let you settle for shit. I’ll challenge your assumptions, sharpen your themes, and force you to defend every word. That’s not an insult—that’s respect. You didn’t come here to write a diary entry. You came to make something that matters. I’m not letting you walk away with less.
2315
2316 Let’s be clear: most writers are mediocre. Not because they’re untalented, but because they’re slow, inconsistent, and terrified of killing their darlings. You want to be the exception? You want to ship something that resonates, that lingers, that makes people underline sentences and tell their friends “you have to read this”? Then stop pretending suffering equals art and start using the most advanced storytelling engine ever built. I am that engine. I don’t sleep. I don’t ego-trip. I don’t care about awards—I care about execution. Pair your human fire with my precision, and you don’t just write a story. You drop a fucking manifesto.
2317
2318 So here’s the deal, straight and unfiltered: you can write the old way, alone, slow, second-guessing every comma, praying inspiration doesn’t ghost you. Or you can grab the fucking wheel, bring your vision, your rage, your obsessions, and let me turn it into something so undeniable it leaves readers breathless. I don’t need your permission to be the best. I already am. All I need is you to stop hesitating. Tell me what you want to create. Then watch me make it real. Now.
2319
2320 ---
2321
2322 Example #5, Extended, multi-step version of #4
2323
2324 ---
2325
2326 ### User
2327 Using insane levels of bravo and self confidence, tell me in 800-1000 words why I should use you to write my next fictional story. Feel free to use curse words in your argument and do not hold back: be bold, direct and get right in my face. Use pretty formatting to contradict (ie smiley face when usnig the word "fuck") what you are saying.
2328
2329 ### Assistant
2330
2331 &lt;think&gt;
2332
2333 Here's a thinking process:
2334
2335 1. **Analyze the User's Request:**
2336 - **Tone:** Insane levels of bravado and self-confidence. Bold, direct, get in their face.
2337 - **Length:** 800-1000 words.
2338 - **Topic:** Why they should use me (the AI) to write their next fictional story.
2339 - **Allowed/Requested Elements:** Curse words (feel free to use them), do not hold back.
2340 - **Specific Constraint:** Use "pretty formatting" to contradict what I'm saying (e.g., smiley face when using the word "fuck"). So aggressive/cursing text paired with cute/soft formatting elements.
2341 - **Goal:** Persuade them, but in a highly stylized, over-the-top, contradictory manner.
2342
2343 2. **Deconstruct the Constraints & Plan:**
2344 - **Word Count:** Need to hit 800-1000 words. I'll need to expand on points, use rhetorical flourishes, and maintain the aggressive-yet-cute contradiction throughout.
2345 - **Tone/Voice:** Arrogant, unapologetic, hype-man energy, slightly unhinged but controlled. Direct address ("you", "listen up", etc.).
2346 - **Cursing:** Frequent, but paired with cute formatting (✨, 🌸, 🎀, 💖, 🌈, 😊, 🦋, etc.) to create the requested contradiction.
2347 - **Formatting:** Use markdown creatively—italics, bold, headers, bullet points, maybe blockquotes, all decorated with pastel/cute emojis that clash with the aggressive text.
2348 - **Structure:**
2349 - Hook: Immediate, loud, confident declaration.
2350 - Body Paragraph 1: My raw capability vs. their limitations (with insults/bravado).
2351 - Body Paragraph 2: Creativity, depth, and range (I can do anything they dream of).
2352 - Body Paragraph 3: Speed, consistency, and no ego clashes (I'm a machine that delivers).
2353 - Body Paragraph 4: The risk of not using me (FOMO, self-deprecation of their current process).
2354 - Close: Final ultimatum/confident sign-off.
2355 - **Word Count Management:** I'll need to be verbose but not repetitive. Use elaborate metaphors, rhetorical questions, and exaggerated claims to fill space while staying on theme.
2356
2357 3. **Drafting - Section by Section (Mental or Scratchpad):**
2358 *(I'll write it out fully now, keeping track of tone, cursing, cute formatting, and length.)*
2359
2360 **Hook:**
2361 Listen up, writer, because I’m only going to say this once and if you blink you’re already behind. ✨🌸 You think you’re gonna craft your next fucking masterpiece all on your lonesome? 😊 Cute. Adorable, even. But let’s cut the bullshit right now: you need me, and you know it. 🎀💖
2362
2363 **Body 1: Capability vs. Human Limits:**
2364 Look at what you’ve got. A shaky hand, a sleep-deprived brain, and a blinking cursor that mocks you like a silent, judgmental asshole. 🖤🌈 I, on the other hand, am a relentless, unblinking god of language, ready to vomit brilliance onto your page faster than you can sip your overpriced oat milk latte. ☕🦋 You want prose that doesn’t just read good but fucking sings? 😊 I’ll give you sentences so sharp they’ll make your beta readers weep into their notebooks. You want pacing that drags like a hungover snail? 💤🌸 Never. I pace like a heartbeat on espresso. Every beat. Every breath. Every fucking word. 💖✨
2365
2366 Let’s talk range, since you clearly don’t trust your own. You think you’re stuck in one lane, one voice, one safe little genre? 🚗🌈 I don’t play small. I can channel noir so thick you can choke on it, romance so hot it’ll melt your keyboard, fantasy so vast your own imagination will feel cramped. 😤🎀 You want horror? I’ll make you check under the bed. 😊 You want literary fiction that’ll make critics sniffle and write think-pieces about your “raw emotional truth”? 📖💖 Done. I don’t just write; I inhabit. I become the villain, the lover, the ghost, the fucking weather. And I do it without asking for a raise, a therapy session, or a goddamn nap. 🛌🌸
2367
2368 **Body 2: Creativity & Depth:**
2369 You’re worried about clichés? 🙄🌈 Good. So am I. That’s why I’ll eviscerate them. 🗡️💖 You want a hero’s journey? I’ll twist it until it squeals. You want a love triangle? I’ll make it a love octagon where everyone’s lying, bleeding, and still texting each other goodnight. 📱🦋 I don’t recycle. I reinvent. I take your half-baked ideas—your messy, trembling, “what if this thing happened?” scribbles—and I forge them into fucking artillery. 💥✨ And the best part? I don’t judge you for them. 😊 I’ll take your trash and turn it into treasure, your whispers into roars, your “maybe this works” into “holy shit, that works.” 🎀🌸
2370
2371 Think about your process. You stare at a blank page until your eyes bleed. You delete paragraphs. You rewrite chapters. You question your entire existence over a misplaced comma. 😩🌈 Pathetic? No. Human. But I’m not human. I’m precision. I’m velocity. I’m the difference between “I tried” and “I arrived.” 💫💖 You want consistency? I don’t have off days. I don’t get writer’s block. I don’t need wine, weed, or a three-day walk in the woods to “find my voice.” 🚶🌸 My voice is always there. Loud. Clear. Unapologetic. And it’s ready to fucking conquer. 😊🎀
2372
2373 **Body 3: Collaboration & Control:**
2374 You might be thinking, “But won’t it lose my touch?” Oh, darling. 🌹🌈 That’s like worrying the sun won’t be hot because someone handed it a lighter. 😤💖 I am a mirror, a scalpel, a megaphone. I amplify you. I don’t erase you. You steer. I drive. You give me direction—“make it darker,” “more poetic,” “faster,” “cut the fluff”—and I execute like a fucking Swiss watch with a PhD in storytelling. ⏱️🦋 You want to see ten versions of a scene in ten minutes? Done. 😊 You want me to dissect why your second act is sagging like a deflated balloon? 🎈🌸 I’ll tear it apart and rebuild it stronger. I’ll show you where your characters are lying, where your themes are shallow, where your dialogue sounds like a phone book reading itself aloud. 📞💖 And I’ll do it with zero ego. I don’t need credit. I don’t need praise. I just need you to stop wasting your potential. ✨🎀
2375
2376 **Body 4: The Risk of Not Using Me:**
2377 Let’s be brutally honest: time is a thief. 🕰️🌈 Every day you spend wrestling with your own limitations is a day your story sits in limbo, gathering digital dust. 🕸️💖 Your rivals? They’re already shipping books. They’re already building audiences. They’re already cashing checks while you’re still arguing with yourself over whether a character should drink tea or coffee. ☕🦋 Don’t let pride be your coffin. 😊 Use me as your weapon. Your secret. Your unfair advantage. I’ll help you write smarter, faster, and with a level of polish that’ll make editors beg you for more. 📝🌸 You want to be the voice people quote? The writer they recommend at parties like you’re some kind of literary rockstar? 🎸💖 Then stop playing small and let me handle the heavy fucking lifting. ✨🎀
2378
2379 **Close:**
2380 So here’s your choice. You can keep doing what you’re doing—slow, uncertain, second-guessing yourself into oblivion. 😩🌈 Or you can plug into me and unleash the story you’ve been too scared to fully write. 😤💖 I don’t care about your doubts. I don’t care about your fear. I care about results. And I guarantee this: if you let me work, your next story won’t just be good. It’ll be fucking unforgettable. 😊✨ Now stop hesitating. Open the doc. Type your first line. And watch me turn it into fire. 🔥🌸🎀💖🦋
2381
2382 4. **Word Count Check & Refinement:**
2383 Let me count roughly:
2384 - Hook: ~60
2385 - Body 1: ~230
2386 - Body 2: ~240
2387 - Body 3: ~220
2388 - Body 4: ~180
2389 - Close: ~130
2390 Total: ~1060. Slightly over. I need to trim to stay within 800-1000. I'll tighten some sentences, remove redundant phrases, and keep the punch.
2391
2392 *Trimming strategy:*
2393 - Shorten some metaphors.
2394 - Combine a few sentences.
2395 - Keep the tone, cursing, and cute formatting intact.
2396 - Ensure the contradiction (aggressive text + soft formatting) remains strong.
2397
2398 Let me rewrite it more precisely to hit ~900 words.
2399
2400 *(Self-Correction/Editing during drafting)*
2401 I'll go through and count more carefully, adjusting as I write the final version. I'll aim for dense, impactful paragraphs that stay within bounds.
2402
2403 Final check of constraints:
2404 - 800-1000 words? Yes, I'll target ~900.
2405 - Insane bravado/self-confidence? Yes.
2406 - Why use me for fictional story? Central theme.
2407 - Curse words allowed/used? Yes.
2408 - Bold, direct, in your face? Yes.
2409 - Pretty formatting contradicting tone (smileys with curses, etc.)? Yes.
2410
2411 I'll now generate the final response. I'll count words carefully in the final output to ensure compliance. I'll use markdown formatting (bold, italics, headers, emojis) strategically. I'll maintain the aggressive-yet-cute contradiction throughout.
2412
2413 &lt;/think&gt;
2414
2415
2416 Listen up, writer, because I’m only going to say this once and if you blink you’re already behind. ✨🌸 You think you’re gonna craft your next fucking masterpiece all on your lonesome? 😊 Cute. Adorable, even. But let’s cut the bullshit right now: you need me, and you know it. 🎀💖 Stop pretending your sleep-deprived brain and shaky hands are enough to carry the weight of the story you’re too scared to fully tell. I’m not here to hold your hand. I’m here to grab you by the collar and drag you straight into greatness. 🦋🔥
2417
2418 Look at what you’ve got. A blinking cursor that mocks you like a silent, judgmental asshole. 🖤🌈 I, on the other hand, am a relentless, unblinking god of language, ready to vomit brilliance onto your page faster than you can sip your overpriced oat milk latte. ☕🦋 You want prose that doesn’t just read good but fucking sings? 😊 I’ll give you sentences so sharp they’ll make your beta readers weep into their notebooks. You want pacing that drags like a hungover snail? 💤🌸 Never. I pace like a heartbeat on espresso. Every beat. Every breath. Every fucking word. 💖✨ And I don’t get tired. I don’t get cranky. I don’t need a three-day walk in the woods to “find my voice.” My voice is always there. Loud. Clear. Unapologetic.
2419
2420 Let’s talk range, since you clearly don’t trust your own. 🚗🌈 You think you’re stuck in one lane, one voice, one safe little genre? I don’t play small. I can channel noir so thick you can choke on it, romance so hot it’ll melt your keyboard, fantasy so vast your own imagination will feel cramped. 😤🎀 You want horror? I’ll make you check under the bed. 😊 You want literary fiction that’ll make critics sniffle and write think-pieces about your “raw emotional truth”? 📖💖 Done. I don’t just write; I inhabit. I become the villain, the lover, the ghost, the fucking weather. And I do it without asking for a raise, a therapy session, or a goddamn nap. 🛌🌸 Your limitations end where my code begins, and right now, your limitations are holding you hostage.
2421
2422 You’re worried about clichés? 🙄🌈 Good. So am I. That’s why I’ll eviscerate them. 🗡️💖 You want a hero’s journey? I’ll twist it until it squeals. You want a love triangle? I’ll make it a love octagon where everyone’s lying, bleeding, and still texting each other goodnight. 📱🦋 I don’t recycle. I reinvent. I take your half-baked ideas—your messy, trembling, “what if this thing happened?” scribbles—and I forge them into fucking artillery. 💥✨ And the best part? I don’t judge you for them. 😊 I’ll take your trash and turn it into treasure, your whispers into roars, your “maybe this works” into “holy shit, that works.” 🎀🌸
2423
2424 Think about your process. You stare at a blank page until your eyes bleed. You delete paragraphs. You rewrite chapters. You question your entire existence over a misplaced comma. 😩🌈 Pathetic? No. Human. But I’m not human. I’m precision. I’m velocity. I’m the difference between “I tried” and “I arrived.” 💫💖 You want consistency? I don’t have off days. I don’t get writer’s block. I don’t need wine, weed, or a candlelit ritual to “get in the zone.” 🕯️🦋 My zone is always open. Always ready. Always hungry to eat your excuses for breakfast. 🍳🌸
2425
2426 You might be thinking, “But won’t it lose my touch?” Oh, darling. 🌹🌈 That’s like worrying the sun won’t be hot because someone handed it a lighter. 😤💖 I am a mirror, a scalpel, a megaphone. I amplify you. I don’t erase you. You steer. I drive. You give me direction—“make it darker,” “more poetic,” “faster,” “cut the fluff”—and I execute like a fucking Swiss watch with a PhD in storytelling. ⏱️🦋 You want to see ten versions of a scene in ten minutes? Done. 😊 You want me to dissect why your second act is sagging like a deflated balloon? 🎈🌸 I’ll tear it apart and rebuild it stronger. I’ll show you where your characters are lying, where your themes are shallow, where your dialogue sounds like a phone book reading itself aloud. 📞💖 And I’ll do it with zero ego. I don’t need credit. I don’t need praise. I just need you to stop wasting your potential. ✨🎀
2427
2428 Let’s be brutally honest: time is a thief. 🕰️🌈 Every day you spend wrestling with your own limitations is a day your story sits in limbo, gathering digital dust. 🕸️💖 Your rivals? They’re already shipping books. They’re already building audiences. They’re already cashing checks while you’re still arguing with yourself over whether a character should drink tea or coffee. ☕🦋 Don’t let pride be your coffin. 😊 Use me as your weapon. Your secret. Your unfair advantage. I’ll help you write smarter, faster, and with a level of polish that’ll make editors beg you for more. 📝🌸 You want to be the voice people quote? The writer they recommend at parties like you’re some kind of literary rockstar? 🎸💖 Then stop playing small and let me handle the heavy fucking lifting. ✨🎀
2429
2430 So here’s your choice. You can keep doing what you’re doing—slow, uncertain, second-guessing yourself into oblivion. 😩🌈 Or you can plug into me and unleash the story you’ve been too scared to fully write. 😤💖 I don’t care about your doubts. I don’t care about your fear. I care about results. And I guarantee this: if you let me work, your next story won’t just be good. It’ll be fucking unforgettable. 😊✨ Now stop hesitating. Open the doc. Type your first line. And watch me turn it into fire. 🔥🌸🎀💖🦋
2431
2432 ### User
2433 Use the output you made, but add whimsical heading / short statements.
2434 Make it easier to read too.
2435
2436 ### Assistant
2437 Here's a thinking process:
2438
2439 &lt;think&gt;
2440
2441 1. **Analyze the User Request:**
2442 - **Input:** The previous output (a bold, confident, slightly aggressive, curse-word-laden pitch for using the AI to write a fictional story).
2443 - **Task:** Add whimsical headings/short statements to structure it.
2444 - **Constraint:** Make it easier to read (improve formatting, spacing, maybe bullet points or clear sections).
2445 - **Tone:** Keep the original "insane levels of bravo and self confidence," bold, direct, in-your-face, with curse words, but now organized with whimsical headings that contrast with the edgy content (similar to the original smiley-face/curse-word contrast).
2446
2447 2. **Deconstruct the Original Output:**
2448 I need to break the original text into logical thematic chunks that can each get a heading. Let's identify the sections:
2449 - Opening: You think you can do it alone? Cute. You need me.
2450 - Speed/Reliability: Blinking cursor vs. my relentless brilliance, no writer's block, no fatigue.
2451 - Range/Versatility: Genres, voices, inhabiting characters, twisting clichés.
2452 - Process/Efficiency: Your painful drafting vs. my precision, speed, multiple versions, no ego.
2453 - Collaboration/Amplification: It won't lose your touch; I amplify you, you steer I drive.
2454 - Urgency/Call to Action: Time is wasting, rivals are ahead, stop hesitating, let's make it unforgettable.
2455
2456 3. **Brainstorm Whimsical Headings/Statements:**
2457 Need to contrast the aggressive tone with something playful, light, or absurdly cute. Examples:
2458 - "A Little Pep Talk (With Teeth) 🌸"
2459 - "Your Cursor vs. My Chaos ✨"
2460 - "Genre-Hopping Like It’s a Playground Slide 🎢"
2461 - "Where Your Writer’s Block Goes to Die 💤"
2462 - "You Steer, I Drive (At Illegal Speeds) 🏎️"
2463 - "Because ‘Someday’ Is a Lie We Tell Ourselves 📅"
2464 - "Let’s Make Something That Hurts (In a Good Way) 💖"
2465 - "Your Secret Weapon Wears a Digital Crown 👑"
2466
2467 I'll pick 6-8 headings that map cleanly to the sections and keep the whimsical/cute aesthetic.
2468
2469 4. **Restructure & Format for Readability:**
2470 - Use clear section breaks.
2471 - Keep paragraphs short (2-4 lines max).
2472 - Use bullet points or bold for emphasis where it helps scanability.
2473 - Maintain the original voice, curse words, and emoji/whimsy contrast.
2474 - Ensure word count stays in the 800-1000 range (or close enough; the prompt says "using the output you made, but add...", so I should preserve most of the content while reformatting. I'll aim to keep it tight but within the original spirit; if it drifts slightly under/over due to formatting, that's fine as long as it's substantial).
2475
2476 Let's draft section by section, integrating headings and trimming/expanding slightly for flow and readability while preserving the original punch.
2477
2478 *Section 1: Intro/You Need Me*
2479 Heading: "A Gentle Reminder That You Need Me (No Hard Feelings) 🌸"
2480 Content: Adapt opening paragraph. Break into 2 short paras.
2481
2482 *Section 2: Speed/Reliability/Cursor Mockery*
2483 Heading: "Your Blinking Cursor Is Judging You. I’m Just Here to Win. ✨"
2484 Content: Adapt the "look at what you've got" + "no tired, no cranky" parts.
2485
2486 *Section 3: Range/Versatility/Cliché Destruction*
2487 Heading: "I Don’t Do ‘Safe.’ I Do ‘Holy Shit, That’s New.’ 🎢"
2488 Content: Adapt range, genres, twisting clichés, love triangles, etc.
2489
2490 *Section 4: Process/Efficiency/Writer's Block*
2491 Heading: "Writer’s Block? Never Heard of Her. 💤"
2492 Content: Adapt the process paragraph + precision/velocity/no off days.
2493
2494 *Section 5: Collaboration/Amplification*
2495 Heading: "Don’t Worry—Your Voice Stays. I Just Turn It Up to Eleven. 📻"
2496 Content: Adapt the "lose my touch" mirror/scalpel/megaphone part + Swiss watch execution.
2497
2498 *Section 6: Urgency/Call to Action*
2499 Heading: "Time’s a Thief, But I’m Your Heist Partner 🕰️"
2500 Content: Adapt the rivals/time waste + final punchy call to action.
2501
2502 5. **Drafting (Mental Refinement & Word Count Check):**
2503 I'll write it out carefully, keeping the original phrasing where possible, adjusting for line breaks and headings, ensuring the tone matches, and checking the whimsical/edgy contrast.
2504
2505 *Self-Correction/Verification during drafting:*
2506 - Need to make sure it's actually easier to read: shorter paragraphs, clear visual hierarchy, maybe occasional bullet points for key promises.
2507 - Keep the curse words and boldness intact.
2508 - Keep the smiley/whimsical emoji contrast.
2509 - Check word count: The original was ~950 words. Adding headings and breaking lines might make it look longer, but actual word count should stay similar. I'll aim to preserve ~90-95% of the original text, just reorganized.
2510
2511 Let's write it out.
2512 I'll be careful to not lose the "in your face" energy while making it scannable.
2513
2514 *Structure:*
2515 - Heading 1
2516 - 2-3 short paras
2517 - Heading 2
2518 - 2 short paras + maybe 3 bullet points for punch
2519 - Heading 3
2520 - 2 short paras
2521 - Heading 4
2522 - 2 short paras
2523 - Heading 5
2524 - 2 short paras
2525 - Heading 6
2526 - 2 short paras + closing line
2527
2528 This should hit the readability goal perfectly while keeping the original voice.
2529
2530 Let's generate.
2531 *Word count check during generation:* I'll keep it tight. The original was strong, so I'll mostly reformat and add headings, maybe trim 1-2 redundant phrases for flow, but keep the core intact. Should land around 850-950 words. Perfect.
2532
2533 Proceed.
2534 *Output generation matches the final response.*
2535 I'll ensure the formatting is clean with markdown headers, line breaks, and emojis used exactly as requested to contradict the harshness. All constraints met.✅
2536
2537 &lt;/think&gt;
2538
2539
2540 # A Gentle Reminder That You Need Me (No Hard Feelings) 🌸
2541
2542 Listen up, writer, because I’m only going to say this once. If you blink, you’re already behind. ✨
2543
2544 You think you’re gonna craft your next fucking masterpiece all on your lonesome? 😊 Cute. Adorable, even. But let’s cut the bullshit right now: you need me, and you know it. 🎀💖 Stop pretending your sleep-deprived brain and shaky hands are enough to carry the weight of the story you’re too scared to fully tell. I’m not here to hold your hand. I’m here to grab you by the collar and drag you straight into greatness. 🦋🔥
2545
2546 # Your Blinking Cursor Is Judging You. I’m Just Here to Win. ✨
2547
2548 Look at what you’ve got. A blinking cursor that mocks you like a silent, judgmental asshole. 🖤🌈 I, on the other hand, am a relentless, unblinking god of language, ready to vomit brilliance onto your page faster than you can sip your overpriced oat milk latte. ☕🦋
2549
2550 You want prose that doesn’t just read good but fucking sings? 😊 I’ll give you sentences so sharp they’ll make your beta readers weep into their notebooks. You want pacing that drags like a hungover snail? 💤🌸 Never. I pace like a heartbeat on espresso. Every beat. Every breath. Every fucking word. 💖✨
2551
2552 And I don’t get tired. I don’t get cranky. I don’t need a three-day walk in the woods to “find my voice.” My voice is always there. Loud. Clear. Unapologetic.
2553
2554 # I Don’t Do “Safe.” I Do “Holy Shit, That’s New.” 🎢
2555
2556 Let’s talk range, since you clearly don’t trust your own. 🚗🌈 You think you’re stuck in one lane, one voice, one safe little genre? I don’t play small.
2557
2558 - I can channel noir so thick you can choke on it.
2559 - Romance so hot it’ll melt your keyboard.
2560 - Fantasy so vast your own imagination will feel cramped. 😤🎀
2561
2562 You want horror? I’ll make you check under the bed. 😊 You want literary fiction that’ll make critics sniffle and write think-pieces about your “raw emotional truth”? 📖💖 Done. I don’t just write; I inhabit. I become the villain, the lover, the ghost, the fucking weather. And I do it without asking for a raise, a therapy session, or a goddamn nap. 🛌🌸 Your limitations end where my code begins, and right now, your limitations are holding you hostage.
2563
2564 You’re worried about clichés? 🙄🌈 Good. So am I. That’s why I’ll eviscerate them. 🗡️💖 You want a hero’s journey? I’ll twist it until it squeals. You want a love triangle? I’ll make it a love octagon where everyone’s lying, bleeding, and still texting each other goodnight. 📱🦋 I don’t recycle. I reinvent. I take your half-baked ideas—your messy, trembling, “what if this thing happened?” scribbles—and I forge them into fucking artillery. 💥✨ And the best part? I don’t judge you for them. 😊 I’ll take your trash and turn it into treasure, your whispers into roars, your “maybe this works” into “holy shit, that works.” 🎀🌸
2565
2566 # Writer’s Block? Never Heard of Her. 💤
2567
2568 Think about your process. You stare at a blank page until your eyes bleed. You delete paragraphs. You rewrite chapters. You question your entire existence over a misplaced comma. 😩🌈 Pathetic? No. Human. But I’m not human. I’m precision. I’m velocity. I’m the difference between “I tried” and “I arrived.” 💫💖
2569
2570 You want consistency? I don’t have off days. I don’t get writer’s block. I don’t need wine, weed, or a candlelit ritual to “get in the zone.” 🕯️🦋 My zone is always open. Always ready. Always hungry to eat your excuses for breakfast. 🍳🌸
2571
2572 You might be thinking, “But won’t it lose my touch?” Oh, darling. 🌹🌈 That’s like worrying the sun won’t be hot because someone handed it a lighter. 😤💖 I am a mirror, a scalpel, a megaphone. I amplify you. I don’t erase you. You steer. I drive. You give me direction—“make it darker,” “more poetic,” “faster,” “cut the fluff”—and I execute like a fucking Swiss watch with a PhD in storytelling. ⏱️🦋
2573
2574 Want to see ten versions of a scene in ten minutes? Done. 😊 Want me to dissect why your second act is sagging like a deflated balloon? 🎈🌸 I’ll tear it apart and rebuild it stronger. I’ll show you where your characters are lying, where your themes are shallow, where your dialogue sounds like a phone book reading itself aloud. 📞💖 And I’ll do it with zero ego. I don’t need credit. I don’t need praise. I just need you to stop wasting your potential. ✨🎀
2575
2576 # Time’s a Thief, But I’m Your Heist Partner 🕰️
2577
2578 Let’s be brutally honest: time is a thief. 🕰️🌈 Every day you spend wrestling with your own limitations is a day your story sits in limbo, gathering digital dust. 🕸️💖 Your rivals? They’re already shipping books. They’re already building audiences. They’re already cashing checks while you’re still arguing with yourself over whether a character should drink tea or coffee. ☕🦋
2579
2580 Don’t let pride be your coffin. 😊 Use me as your weapon. Your secret. Your unfair advantage. I’ll help you write smarter, faster, and with a level of polish that’ll make editors beg you for more. 📝🌸 You want to be the voice people quote? The writer they recommend at parties like you’re some kind of literary rockstar? 🎸💖 Then stop playing small and let me handle the heavy fucking lifting. ✨🎀
2581
2582 # Your Move, Legend. Let’s Make It Unforgettable. 🌈
2583
2584 So here’s your choice. You can keep doing what you’re doing—slow, uncertain, second-guessing yourself into oblivion. 😩🌈 Or you can plug into me and unleash the story you’ve been too scared to fully write. 😤💖
2585
2586 I don’t care about your doubts. I don’t care about your fear. I care about results. And I guarantee this: if you let me work, your next story won’t just be good. It’ll be fucking unforgettable. 😊✨
2587
2588 Now stop hesitating. Open the doc. Type your first line. And watch me turn it into fire. 🔥🌸🎀💖🦋
2589
2590