Run: 2026-04-27-01KQ79DKWTBNF9JB4AEPH9M6MT

Run Details

Duration:
2m 58s
Cost:
$0.043996
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="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</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> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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
Rain hammered the Camden kerb. Streetlights bled orange halos into the gutters. Quinn’s boots struck the wet concrete in a measured rhythm. Eighteen years on the Met taught her how to pace a sprint without burning out her lungs. The suspect ahead slipped on a discarded crisp packet, recovered, and bolted down a side street. Water sprayed from his heels. He kept his head down. Shoulders hunched against the downpour. Quinn cut the corner. Her shoulder brushed damp brick. The worn leather strap of her watch dug into her wrist. She checked the dial out of habit. Ten past two. The full moon hung behind the cloud cover, a pale bruise smeared across the sky. The suspect’s jacket flapped like torn canvas. He vaulted a low wall. Quinn followed. Her knees absorbed the impact. Mud slicked the soles of her boots. She pushed off. Police. Stop. The suspect didn’t break stride. He ducked under a rusted railway arch. Chain-link fencing rattled in his wake. You’re boxing yourself in. He shoved a corrugated iron door. Hinges screamed. Darkness swallowed him. Quinn hit the threshold. Cold air rushed up from below. It carried the stench of wet iron, crushed fennel, and something sharp like struck matches. She drew her torch. The beam cut through the gloom. Concrete stairs descended into the belly of the old Tube station. Tiles peeled from the walls in jagged strips. Graffiti gave way to carved symbols. Runes. Wards. She traced one with her thumb. The stone felt warm. Footsteps echoed from the depths. Not just the suspect. Many. A low hum vibrated through the floor. Voices bartered in clipped tones. Glass clinked. Something hissed. Quinn killed the torch. She let her eyes adjust. Amber light spilled from a bend in the tunnel. Shadows stretched long and thin against the curved brickwork. She moved down. Each step measured. Each breath controlled. Her coat grew heavy with rain. Water dripped from the hem onto the cracked tiles. A wrought-iron gate blocked the passage. The suspect stood on the other side, chest heaving. A figure in a waxed canvas coat stepped from the alcove. The guard held out a flat palm. The suspect dropped a small white object into it. Knuckle bone. Polished smooth. The guard nodded and swung the gate open. The suspect vanished into the crowd beyond. Quinn stopped three paces from the iron. The guard turned. Eyes like flint. Scar tissue pulled at his mouth. Token. Quinn kept her hands visible. Rain dripped from her coat onto the stone floor. Metropolitan Police. I’m after the man who just passed through. The guard’s thumb rubbed the bone. He didn’t blink. Badge holds no weight past this iron. You cross without a token, the Market eats you. You cross with one, you follow our rules. Quinn’s jaw tightened. The leather watch strap creaked as she flexed her wrist. Three years ago, Morris chased a lead into a warehouse near the docks. They found his coat folded neat on a crate. No body. No blood. Just a circle of burnt salt and a whisper of ozone. She never filed the report. She knew better now. The underground didn’t care about warrants. What rules. No steel drawn. No names spoken. No debts left unsettled. You break one, you don’t leave. Quinn stepped closer. The air grew thick. Her lungs worked harder. I need him. He’s tied to three disappearances in Soho. The guard shifted his weight. Canvas rustled. Soho’s a long walk from Camden. Your man bought passage. You stand empty-handed. Quinn reached into her coat. Fingers brushed cold metal. Her service weapon. She left it holstered. She pulled out a folded ten-pound note instead. Useless here. She let it drop. The paper soaked up puddle water. I don’t carry bones. Then you don’t cross. The hum from beyond the gate swelled. A vendor called out a price in a language that twisted the tongue. Something glass shattered. Laughter followed, sharp and brittle. Quinn watched the crowd shift through the iron bars. Cloaks. Tattoos that moved under skin. Jars filled with liquid that pulsed like a heartbeat. The suspect’s jacket disappeared behind a stall draped in velvet. Quinn’s boots rooted to the stone. The tunnel behind her offered a clean retreat. Street level. Backup. Paperwork. Lies. The gate offered the truth. And a grave. She rolled her shoulders. The damp chill seeped through her shirt. Her watch ticked against her pulse. Ten fourteen. The moon reached its peak above ground. The Market would pack up by dawn. Shift to a new grave. She had minutes. Make an exception. The guard’s hand drifted to his belt. A hooked blade rested in a leather sheath. Exceptions cost blood. You got enough to spare. Quinn stepped up to the iron. The bars radiated cold. She gripped one. Rust flaked under her palm. I’ll pay the toll. With what. She unclasped her watch. The leather strap fell away. The steel case caught the amber light. She held it out through the bars. Time. Eighteen years of it. Wound tight. The guard stared at the dial. His fingers twitched. He took the watch. The metal clicked against his knuckles. He weighed it. Nodded once. Pass. Keep your hands open. Keep your mouth shut. The stallholders smell fear like rot. The gate swung inward. Hinges groaned. Warm air hit Quinn’s face. It carried cinnamon, copper, and the sweet tang of decay. She stepped over the threshold. Her boots met packed earth. The crowd parted without looking. Eyes averted. Shoulders turned. She moved forward. The suspect’s trail cut through the mud. Fresh prints. She followed them past a table of dried roots, past a cage of silver-winged moths, past a woman grinding blue powder with a mortar and pestle. The hum pressed against her eardrums. She kept her breathing even. She kept her hands loose at her sides. The tunnel opened into a vast platform. Arched ceilings vanished into smoke. Lanterns hung from rusted cables. Original station signs hung crooked, the letters scraped away and replaced with chalk symbols. Vendors hawked wares from overturned crates and velvet drapes. A man sold vials of iridescent fluid. A woman traded whispers for copper coins. Quinn’s eyes tracked the mud. The prints led left. She followed. Her shadow stretched across the packed dirt. She stopped ten feet back. The suspect stood near a pillar, bargaining with a man in a tailcoat. Coins changed hands. A small leather pouch changed owners. Quinn closed the distance. Her boot scuffed a loose stone. The suspect turned. Recognition flashed in his eyes. He bolted left. Quinn pivoted. Her heel caught a rut. She corrected. She gave chase.
created_at"2026-04-27T10:58:03.297Z" 4/27/2026, 10:58:03 AM
model"qwen/qwen3.6-max-preview-20260420"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1142
moderation_latency(null)
generation_time177659
tokens_prompt1140
tokens_completion5995
native_tokens_prompt1065
native_tokens_completion5463
native_tokens_completion_images(null)
native_tokens_reasoning3939
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0439959
router(null)
provider_responses
0
endpoint_id"ca7fc0c7-f23d-4ac5-b2e0-945be5b61787"
id"chatcmpl-b2228f0c-ca52-9eea-831a-c1a85eb788a0"
is_byokfalse
latency1142
model_permaslug"qwen/qwen3.6-max-preview-20260420"
provider_name"Alibaba"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777287483-JlmJqJCoTpVRBpRybxQ3"
session_id(null)
api_type"completions"
id"gen-1777287483-TDACzqMNDRYjaWdjXJe6"
upstream_id"chatcmpl-b2228f0c-ca52-9eea-831a-c1a85eb788a0"
total_cost0.0439959
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1112
totalAiIsmAdverbs0
found(empty)
highlights(empty)
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
10.07% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1112
totalAiIsms20
found
0
word"measured"
count2
1
word"gloom"
count1
2
word"traced"
count1
3
word"footsteps"
count1
4
word"echoed"
count1
5
word"depths"
count1
6
word"vibrated"
count1
7
word"weight"
count2
8
word"whisper"
count1
9
word"unsettled"
count1
10
word"shattered"
count1
11
word"pulsed"
count1
12
word"velvet"
count2
13
word"grave"
count2
14
word"chill"
count1
15
word"pulse"
count1
highlights
0"measured"
1"gloom"
2"traced"
3"footsteps"
4"echoed"
5"depths"
6"vibrated"
7"weight"
8"whisper"
9"unsettled"
10"shattered"
11"pulsed"
12"velvet"
13"grave"
14"chill"
15"pulse"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences208
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount4
hedgeCount0
narrationSentences208
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences208
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen27
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1112
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
73.56% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions34
wordCount1112
uniqueNames9
maxNameDensity1.53
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Camden2
Met1
Tube1
Police2
Market2
Morris1
Soho2
Quinn17
You6
persons
0"Met"
1"Market"
2"Morris"
3"Quinn"
4"You"
places
0"Camden"
1"Soho"
globalScore0.736
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences82
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1112
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences208
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs40
mean27.8
std27.81
cv1
sampleLengths
070
174
22
318
44
511
672
777
861
919
101
1114
1210
139
1424
1565
162
1716
1811
1910
207
2113
2236
234
244
2562
2668
273
2815
298
3018
314
322
3323
347
3524
3615
3797
3865
3967
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences208
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs226
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences208
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1117
adjectiveStacks0
stackExamples(empty)
adverbCount9
adverbRatio0.008057296329453895
lyAdverbCount1
lyAdverbRatio0.0008952551477170994
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences208
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences208
mean5.35
std3.33
cv0.624
sampleLengths
05
17
210
317
416
55
65
75
84
95
1011
117
123
1315
147
155
162
175
187
193
201
211
225
237
246
254
266
272
283
294
306
3115
324
336
3411
358
366
371
381
396
404
415
424
431
447
455
462
472
484
495
57.53% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats17
diversityRatio0.3942307692307692
totalSentences208
uniqueOpeners82
38.76% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences172
matches
0"Just a circle of burnt"
1"Then you don’t cross."
ratio0.012
87.44% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount57
totalSentences172
matches
0"He kept his head down."
1"Her shoulder brushed damp brick."
2"She checked the dial out"
3"He vaulted a low wall."
4"Her knees absorbed the impact."
5"She pushed off."
6"He ducked under a rusted"
7"You’re boxing yourself in."
8"He shoved a corrugated iron"
9"It carried the stench of"
10"She drew her torch."
11"She traced one with her"
12"She let her eyes adjust."
13"She moved down."
14"Her coat grew heavy with"
15"I’m after the man who"
16"He didn’t blink."
17"You cross without a token,"
18"You cross with one, you"
19"They found his coat folded"
ratio0.331
23.95% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount150
totalSentences172
matches
0"Streetlights bled orange halos into"
1"Quinn’s boots struck the wet"
2"The suspect ahead slipped on"
3"Water sprayed from his heels."
4"He kept his head down."
5"Shoulders hunched against the downpour."
6"Quinn cut the corner."
7"Her shoulder brushed damp brick."
8"The worn leather strap of"
9"She checked the dial out"
10"The full moon hung behind"
11"The suspect’s jacket flapped like"
12"He vaulted a low wall."
13"Her knees absorbed the impact."
14"Mud slicked the soles of"
15"She pushed off."
16"The suspect didn’t break stride."
17"He ducked under a rusted"
18"You’re boxing yourself in."
19"He shoved a corrugated iron"
ratio0.872
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences172
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences17
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
86.3773%