Run: 2026-02-25-01KJBDM6BW4XFW8AV0GFSCCAES

Run Details

Duration:
37.0s
Cost:
$0.017157
Provider:
Alibaba

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4412" name="Aurora Carter" aliases="Rory, Laila, Aurora, Carter, Malphora" pronouns="she/her" species="Human" storyRole="Protagonist"> <eyeColor>bright blue</eyeColor> <hair>straight shoulder-length black</hair> <height>5'6"</height> <age>25</age> <scar>small crescent-shaped scar on her left wrist from a childhood accident</scar> <description>Aurora, referred to by her friends as Rory, is cool-headed, intelligent, and known for quick out-of-the-box thinking.</description> <backstory>Born in Cardiff to an Irish barrister father (Brendan Carter) and Welsh teacher mother (Jennifer Carter née Ellis), Rory reluctantly pursued Pre-Law at Cardiff University. She fled to London at the behest of her childhood friend Eva after leaving an abusive ex named Evan. By day, Rory works part-time as a delivery person for Yu-Fei Cheung's Golden Empress restaurant. She lives in a flat above Silas' bar.</backstory> </character> <character id="4413" name="Silas Blackwood" aliases="Silas, Si, the Spymaster" pronouns="he/him" species="Human" storyRole="Mentor"> <eyeColor>hazel</eyeColor> <hair>grey-streaked auburn</hair> <height>6'1"</height> <age>58</age> <beard>neatly trimmed, matching his grey-streaked auburn hair</beard> <limp>slight limp in his left leg from an old knee injury</limp> <signetRing>silver signet ring, always worn on his right hand</signetRing> <description>Silas is a retired intelligence operative turned bar owner. He carries himself with quiet authority.</description> <backstory>Former MI6 field agent who retired after a botched operation in Prague left him with a permanent knee injury. He opened "The Raven's Nest" bar in Soho as a front for his network of contacts.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the literary fiction genre. Two old friends who haven't seen each other in years run into each other unexpectedly at a bar. One of them has changed significantly. Through their conversation and the tension between who they were and who they've become, reveal the weight of time and unspoken regret. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
The green neon sign buzzed overhead, casting a sickly emerald glow across the wet pavement of Soho. Aurora pushed through the heavy oak door of The Raven's Nest. The air inside smelled of stale tobacco and old paper. She kept her head down, her straight black hair falling forward to hide her face. She had not stepped foot in this place since the night she moved into the flat above. Silas sat in the corner booth, the one tucked behind the stack of leather-bound books. He looked smaller than she remembered. The grey streaks in his auburn beard had taken over, turning his hair into a uniform steel. His left leg rested on a low stool, the knee swollen and stiff. He traced the rim of a glass with a silver signet ring. Aurora stopped. Her hand hovered over the door handle, ready to retreat. Silas lifted his head. His hazel eyes locked onto hers. He did not smile. He set the glass down on the table with a sharp click. You look like you haven't slept in a week. Aurora walked forward. The floorboards groaned under her boots. She stopped at the edge of the booth. I work nights. Delivery runs don't stop for sleep. Silas gestured to the seat opposite him. His movement was slow, deliberate. The old injury pulled at his face. Sit. You're blocking the light. Aurora slid into the booth. She tucked her left wrist under her thigh. The crescent scar burned against the denim of her jeans. I didn't expect you to be here. I thought you were in Prague. Prague is a memory now. I spend my time watching the rain hit the window. Silas poured a measure of whiskey into a fresh glass. He slid it across the table. The liquid swirled, catching the dim light. You look different. Aurora wrapped her hands around the glass. The heat seeped into her palms. I lost weight. The city eats you if you aren't careful. The city doesn't eat you. People do. Silas leaned forward. The leather of the booth creaked. He stared at her hands. You wear that jacket like armor. It keeps the rain off. It keeps people out. Aurora took a sip. The whiskey burned her throat. It tasted like smoke and copper. Why did you call me down here? I have a shift in an hour. I didn't call you. I saw you walk in. Aurora set the glass down. The wood table absorbed the sound. Then why are we talking? Because you haven't looked me in the eye since you moved in. Silas tapped the table with his ring. The silver flashed. I have a lot of work. You have a lot of ghosts. Aurora felt the scar on her wrist itch. She rubbed it with her thumb. I left Cardiff to get away from ghosts. And you brought them with you. Silas sat back. The limp in his leg was more pronounced now that he had shifted. He rubbed his knee with his free hand. You think I don't see you? You think I don't know you take the stairs at three in the morning? I don't want to be watched. I'm not watching you. I'm watching the door. Aurora looked at the entrance. The green neon flickered. A couple walked past outside, laughing. They did not look in. You used to tell me stories about the work. The things you saw. Those stories are dead. They died in Prague. Then why are you here? Because you're the only one left who knows the old code. Aurora laughed. It was a short, dry sound. There is no code. There is just a bar and a delivery job. There is always a code. You just forgot how to read it. Silas reached into his jacket pocket. He pulled out a folded piece of paper. He placed it on the table. I found this in your flat. Aurora stared at the paper. It was sealed with wax. The color was wrong for the city. I didn't leave anything. You did. You left it in the mailbox. Aurora reached for the paper. Her fingers trembled. She pulled her hand back. If you touched my mail, you crossed a line. I saved you from a mistake. A mistake? The man who sent this. He knows you're here. Aurora stood up. The booth scraped against the floor. She grabbed her coat. Who is he? Someone you knew in Cardiff. I don't know anyone in Cardiff anymore. You knew him. He signed it with a name you remember. Aurora looked at the paper. The wax seal bore a symbol she recognized. A small bird with broken wings. Evan. Silas nodded. He did not blink. He found you. I told him I was gone. I told him to leave me alone. He doesn't listen. That's why he's dangerous. Aurora gripped the edge of the table. Her knuckles turned white. Why are you telling me this now? Because I can't protect you anymore. The knee is gone. The leg is gone. The network is gone. Aurora looked at his face. The lines around his eyes were deep. He looked older than his years. You could have said something before. I was waiting for you to ask. I didn't know I had to ask. Silas picked up his glass. He drained the rest of the whiskey. You don't ask. You run. I ran from Cardiff. I ran from him. You ran from me. Aurora stepped back. The shadows in the corner of the room seemed to stretch toward her. I didn't run from you. I ran from everything. Silas stood up. He swayed slightly, then caught himself. He placed his hand on the back of the booth. Then you are still running. Aurora looked at the door. The green light pulsed. She could hear the rain outside. What do you want me to do? You need to leave the flat. Tonight. I can't leave. I have my job. You have your life. Aurora looked at the scar on her wrist. She pulled her sleeve down to cover it. I am not going anywhere. You will. When he comes. He won't come here. He knows where you live. Aurora turned to the door. She pushed it open. The cold air hit her face. I will handle it. Silas did not move. He watched her from the shadows. You can't handle him. You never could. Aurora stepped out into the rain. The water soaked her hair instantly. She did not look back. I handled you. Silas sat down again. He picked up the folded paper. He tore it in half. You handled me. You didn't handle him. The door clicked shut. The neon buzzed. Silas poured another drink. He watched the door for a long time. The rain washed the street clean. The maps on the wall remained still. The photographs stared down at the empty table. Silas took a sip. He did not finish the glass. He set it down and waited for the knock.
created_at"2026-02-25T22:10:01.731Z" 2/25/2026, 10:10:01 PM
model"qwen/qwen3.5-122b-a10b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency437
moderation_latency(null)
generation_time36910
tokens_prompt1094
tokens_completion5409
native_tokens_prompt1061
native_tokens_completion5229
native_tokens_completion_images(null)
native_tokens_reasoning3621
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0171572
router(null)
provider_responses
0
endpoint_id"33d466d1-d2f7-45ed-8ff3-fda7d2e32351"
id"chatcmpl-216547f8-ad61-9788-b155-624773ac0f55"
is_byokfalse
latency437
model_permaslug"qwen/qwen3.5-122b-a10b-20260224"
provider_name"Alibaba"
status200
api_type"completions"
id"gen-1772057401-XRfM6ZeQfkHumOPGzKfF"
upstream_id"chatcmpl-216547f8-ad61-9788-b155-624773ac0f55"
total_cost0.0171572
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
95.75% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1177
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"slightly"
100.00% AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0"Blackwood"
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
78.76% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1177
totalAiIsms5
found
0
word"traced"
count1
1
word"weight"
count1
2
word"flickered"
count1
3
word"trembled"
count1
4
word"pulsed"
count1
highlights
0"traced"
1"weight"
2"flickered"
3"trembled"
4"pulsed"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"knuckles turned white"
count1
highlights
0"knuckles turned white"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences201
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount4
hedgeCount1
narrationSentences201
filterMatches
0"look"
1"think"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences201
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen17
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1177
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions69
wordCount1177
uniqueNames8
maxNameDensity1.95
worstName"You"
maxWindowNameDensity4
worstWindowName"You"
discoveredNames
Soho1
Raven1
Nest1
Prague3
Cardiff4
Aurora21
Silas15
You23
persons
0"Raven"
1"Aurora"
2"Silas"
3"You"
places
0"Soho"
1"Prague"
2"Cardiff"
globalScore0.523
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences98
glossingSentenceCount1
matches
0"tasted like smoke and copper"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1177
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences201
matches
0"wear that jacket"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs101
mean11.65
std10.02
cv0.859
sampleLengths
070
163
212
326
49
517
69
719
85
923
1013
1115
1223
133
1413
1511
167
1714
186
195
204
2115
2214
239
2411
255
2612
2710
286
296
3014
318
326
3324
3420
356
368
3720
3813
398
405
4111
428
4313
4412
4520
466
4717
484
498
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences201
matches
0"was sealed"
1"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs246
matches
0"was waiting"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences201
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1178
adjectiveStacks0
stackExamples(empty)
adverbCount25
adverbRatio0.021222410865874362
lyAdverbCount4
lyAdverbRatio0.003395585738539898
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences201
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences201
mean5.86
std2.9
cv0.495
sampleLengths
017
111
210
315
417
515
66
717
813
912
102
1110
124
136
144
1512
169
173
186
198
203
216
227
235
247
251
264
275
288
2910
307
316
325
3310
3410
356
367
373
387
396
403
418
425
432
443
456
465
476
485
494
34.08% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats32
diversityRatio0.14925373134328357
totalSentences201
uniqueOpeners30
52.63% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences190
matches
0"Then why are we talking?"
1"Then why are you here?"
2"Then you are still running."
ratio0.016
9.47% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount100
totalSentences190
matches
0"She kept her head down,"
1"She had not stepped foot"
2"He looked smaller than she"
3"His left leg rested on"
4"He traced the rim of"
5"Her hand hovered over the"
6"His hazel eyes locked onto"
7"He did not smile."
8"He set the glass down"
9"You look like you haven't"
10"She stopped at the edge"
11"I work nights."
12"His movement was slow, deliberate."
13"You're blocking the light."
14"She tucked her left wrist"
15"I didn't expect you to"
16"I thought you were in"
17"I spend my time watching"
18"He slid it across the"
19"You look different."
ratio0.526
2.11% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount174
totalSentences190
matches
0"The green neon sign buzzed"
1"Aurora pushed through the heavy"
2"The air inside smelled of"
3"She kept her head down,"
4"She had not stepped foot"
5"Silas sat in the corner"
6"He looked smaller than she"
7"The grey streaks in his"
8"His left leg rested on"
9"He traced the rim of"
10"Her hand hovered over the"
11"Silas lifted his head."
12"His hazel eyes locked onto"
13"He did not smile."
14"He set the glass down"
15"You look like you haven't"
16"Aurora walked forward."
17"The floorboards groaned under her"
18"She stopped at the edge"
19"I work nights."
ratio0.916
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount4
totalSentences190
matches
0"Because you haven't looked me"
1"Because you're the only one"
2"If you touched my mail,"
3"Because I can't protect you"
ratio0.021
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences20
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
86.8712%