Run: 2026-04-27-01KQ780WKRXQY9BV8YV7VN7CQJ

Run Details

Duration:
5m 21s
Cost:
$0.084026
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 lashed the Camden pavement and turned the street into a slick black mirror. Quinn’s boots struck the wet tarmac in a measured rhythm. Eighteen years on the Met taught her to pace a sprint. The figure ahead bolted past a shuttered newsagent, shoulders hunched against the downpour, a dark satchel slapping against his ribs. Puddles shattered under his soles. Spray coated the brickwork. She kept the distance at twenty yards. Close enough to track the swing of his arms. Far enough to avoid a sudden turn. Water dripped from the brim of her coat and stung her eyes. She wiped it away with the back of her hand and checked the worn leather strap on her left wrist. The chase clocked four minutes. Her lungs burned. She ignored it. The suspect cut left down an alley choked with overflowing skips. Quinn followed. Brick walls closed in. The smell of wet cardboard and stale urine climbed the air. His footsteps splashed through pooled rainwater. He vaulted a rusted bike rack and landed hard. The satchel strap slipped. He caught it before it hit the ground and pushed on. Metal groaned under his weight. A plastic crate toppled and spilled broken bottles across the stones. Met Police. Hold your ground. His only answer came as a sharper burst of speed. He reached the alley’s end and shouldered through a corroded iron gate. The hinges screamed. Quinn hit the gate a second later, palms slapping cold metal, and shoved through. Rust flaked onto her sleeves. The street beyond sloped downward toward the old Camden underground entrance. Chain-link fencing sagged around the stairwell. Yellow hazard tape flapped in the wind. The suspect didn’t hesitate. He took the concrete steps two at a time, soles skidding on algae-slick stone. Quinn drew her torch. The beam cut through the rain and caught the glint of a silver medallion bouncing against his collarbone. Saint Christopher. She’d seen that same charm resting on Tomás Herrera’s chest three nights ago, back when the former paramedic stitched a gouge in a bloke’s arm behind the Raven’s Nest bookshelf. The connection snapped into place. This runner worked the same circuit. She descended. Damp air replaced the storm. The temperature dropped. Her breath plumed white in the torchlight. Graffiti coated the tiled walls, layers of tags and peeling transport posters from a decade past. Water dripped from a fractured pipe and echoed in the stairwell. The steps narrowed. Moss climbed the grout lines. Her boots found purchase on the worn edges. The suspect reached the platform level and broke right toward a boarded-up ticket office. He dropped to one knee, scraped aside a heap of wet leaves, and pressed his palm against a cracked ceramic tile. A mechanism clicked. The tile swung inward on a hidden hinge. He slid through the gap and dragged the ceramic shut behind him. Quinn reached the opening. Rainwater streamed off her coat and pooled around her boots. She crouched. The tile sat flush with the wall. No handle. No visible lock. She ran her fingers along the grout line and found a groove worn smooth by repeated use. She pressed. Nothing. She shifted her weight and pushed harder. The tile resisted. Stone ground against stone. Dust coated her fingertips. A muffled voice filtered through the ceramic. Token. Quinn leaned closer. The word came again, flat and mechanical. Bone token. Or turn back. She straightened. The leather watch strap creaked as she flexed her wrist. Three years ago, Morris vanished down a maintenance shaft near Brixton. They pulled his badge from a drain grate and called it a fall. Quinn knew better. The things that moved in the city’s blind spots didn’t leave footprints. They left silence. She unclipped her radio. Static hissed. She thumbed the transmit button. Control, this is Quinn. I’m at the Camden subsurface entrance. Pursuit went underground. Requesting backup and structural schematics. The speaker crackled. A dispatcher’s voice cut through the interference. Quinn, copy. Schematics show sealed infrastructure. No active tunnels in that grid. Backup is twelve minutes out. Advise holding position. Twelve minutes. The runner would dissolve into the warren by then. She’d lose the satchel. She’d lose the link to Herrera. She’d lose the thread that might finally explain what took Morris. She holstered the radio and dragged a hand through her cropped hair. Water dripped from her jawline. She studied the ceramic tile again. The groove demanded a specific shape. A key. Or a token carved from bone. Footsteps echoed on the far side of the wall. Heavy boots. More than one pair. A low murmur rose, layered with the clink of glass and the rustle of paper. The air seeping through the grout carried a scent of ozone, crushed herbs, and something copper-sharp. Blood or alchemy. The Veil Market. The name surfaced from informants’ whispers and case files buried under red tape. A bazaar that shifted with the moon and traded in things the Met refused to acknowledge. She pressed her ear to the cold tile. You’re bleeding on the floor, mate. Step aside. He’s clean. Let him through. Token first. Rules don’t bend for wet shoes. A sharp click. The murmur swelled. The runner had passed the threshold. Quinn stepped back. Her torch beam swept the platform. Rusted tracks vanished into darkness. Pigeon feathers clumped in the drainage grates. The hazard tape above snapped in the wind. Backup would arrive to an empty stairwell and a closed tile. She’d file a report. The report would vanish into a cabinet. The satchel would disappear into the market’s stalls. She unbuttoned her coat and reached into the inner pocket. Her fingers closed around a small, irregular object wrapped in oilcloth. She pulled it free and peeled back the fabric. A knuckle bone, yellowed and drilled through the centre, rested in her palm. Morris’s last evidence bag. Confiscated from a fence in Shoreditch. Logged as miscellaneous. Never returned. She turned the bone over. The edges bore file marks. Symbols etched into the marrow glinted in the torchlight. She didn’t know what they meant. She knew what they opened. She knelt again. The groove in the grout waited. She aligned the bone with the indentation and slid it forward. Ceramic ground against stone. The tile swung inward. Warm, thick air rushed out and coated her face. The murmur on the other side sharpened into distinct voices, haggling, laughing, warning. Lantern light bled through the opening and painted the wet platform gold. Quinn gripped the edge of the tile. Her knuckles whitened. The leather watch strap pressed into her skin. She measured the drop. Three feet to a concrete ledge. Beyond that, a sloping ramp disappeared into a cavern of stalls and hanging tarps. Figures moved in the haze. Coats, cloaks, suits, bare arms marked with sigils. A woman with silver-streaked hair weighed vials on a brass scale. A man in a butcher’s apron chopped something that pulsed. The runner’s dark satchel bobbed thirty yards ahead, weaving through the crowd. She holstered her torch. Her hand found the grip of her sidearm. She didn’t draw it. Steel drew eyes. Eyes drew trouble. You stand there much longer, the damp will rot your boots. The voice came from the shadows beside the opening. A figure leaned against the tiled wall, arms crossed, a cigarette burning between two fingers. Smoke curled upward and vanished into the dark. The man’s face stayed half-hidden. A scar traced his jaw. His eyes caught the lantern light. Market doesn’t care about your badge. Leave it at the threshold or wear it and bleed for it. Quinn kept her weight balanced on the balls of her feet. Rain dripped from her coat onto the concrete. The satchel disappeared behind a rack of hanging dried roots. I’m not here for your wares. Everyone says that. Everyone buys something. Or sells. He flicked the cigarette. The ember sparked against the wet stone and died. Your runner’s already three stalls deep. He’ll trade that bag before you count to ten. You want him, you step through. You want to keep your pension, you climb back to the pavement and pretend the tile never moved. Quinn’s thumb traced the edge of her holster strap. The leather creaked. Morris’s face flashed in her mind. Not the photograph on the memorial wall. The man. Coffee stains on his shirt. Laugh lines around his eyes. The way he checked his pockets twice before kicking in a door. Gone. Swallowed by the city’s underbelly. She shifted her grip on the tile. Her boots found traction on the slick concrete. The market’s noise rolled over her. Haggling. Glass clinking. A low chant from a corner draped in black velvet. The air tasted of iron and petrichor. Ten seconds. Then the gatekeeper resets the lock. Bone or not. Quinn exhaled. The breath fogged in the cold air. She released the tile. It stayed open. She stepped onto the ledge. Her weight settled. The ramp sloped downward. The crowd thickened. The runner’s satchel strap caught the light near a stall draped in moth-eaten tapestries. She dropped into the market.
created_at"2026-04-27T10:33:37.665Z" 4/27/2026, 10:33:37 AM
model"qwen/qwen3.6-max-preview-20260420"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1313
moderation_latency(null)
generation_time320510
tokens_prompt1140
tokens_completion11995
native_tokens_prompt1065
native_tokens_completion10595
native_tokens_completion_images(null)
native_tokens_reasoning8546
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"
usage0.0840255
router(null)
provider_responses
0
endpoint_id"ca7fc0c7-f23d-4ac5-b2e0-945be5b61787"
id"chatcmpl-e121d5c7-b982-9573-bd67-a72da84785d8"
is_byokfalse
latency1313
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-1777286017-r0zuU9F2Hd4hx3jSC7av"
session_id(null)
api_type"completions"
id"gen-1777286017-vESeiRaINoYrhhQIJJSB"
upstream_id"chatcmpl-e121d5c7-b982-9573-bd67-a72da84785d8"
total_cost0.0840255
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
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences0
tagDensity1
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1519
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)
24.29% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1519
totalAiIsms23
found
0
word"measured"
count2
1
word"shattered"
count1
2
word"footsteps"
count2
3
word"weight"
count4
4
word"glint"
count1
5
word"charm"
count1
6
word"fractured"
count1
7
word"echoed"
count2
8
word"mechanical"
count1
9
word"silence"
count1
10
word"etched"
count1
11
word"aligned"
count1
12
word"pulsed"
count1
13
word"traced"
count2
14
word"flicked"
count1
15
word"velvet"
count1
highlights
0"measured"
1"shattered"
2"footsteps"
3"weight"
4"glint"
5"charm"
6"fractured"
7"echoed"
8"mechanical"
9"silence"
10"etched"
11"aligned"
12"pulsed"
13"traced"
14"flicked"
15"velvet"
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
narrationSentences224
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences224
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences224
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen30
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1519
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions43
wordCount1510
uniqueNames16
maxNameDensity0.93
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Camden3
Met3
Police1
Christopher1
Tomás1
Herrera2
Raven1
Nest1
Morris4
Brixton1
Quinn14
Veil1
Market2
Shoreditch1
Water3
You4
persons
0"Met"
1"Christopher"
2"Tomás"
3"Herrera"
4"Raven"
5"Morris"
6"Quinn"
7"Water"
8"You"
places
0"Camden"
1"Brixton"
2"Market"
3"Shoreditch"
globalScore1
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences116
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1519
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences224
matches
0"trade that bag"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs47
mean32.32
std25.49
cv0.789
sampleLengths
064
166
274
35
486
565
660
758
866
97
101
1110
125
1354
1411
1518
1610
1720
1832
1937
2081
218
228
235
248
2512
2659
2758
2830
2920
3042
3188
3222
3311
3448
3518
3629
376
388
3913
4039
4155
4241
4311
4421
4524
465
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences224
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs292
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences224
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount809
adjectiveStacks1
stackExamples
0"ceramic shut behind him."
adverbCount15
adverbRatio0.018541409147095178
lyAdverbCount2
lyAdverbRatio0.002472187886279357
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences224
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences224
mean6.78
std4.42
cv0.652
sampleLengths
014
110
211
320
45
54
67
79
87
912
1020
115
123
133
1411
152
164
1711
186
199
204
2111
225
2311
242
253
2610
2712
283
2914
305
3111
326
337
344
3514
364
3718
382
3930
405
416
422
435
443
457
4616
4711
483
495
55.06% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats15
diversityRatio0.3705357142857143
totalSentences224
uniqueOpeners83
33.84% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences197
matches
0"More than one pair."
1"Then the gatekeeper resets the"
ratio0.01
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount59
totalSentences197
matches
0"She kept the distance at"
1"She wiped it away with"
2"Her lungs burned."
3"She ignored it."
4"His footsteps splashed through pooled"
5"He vaulted a rusted bike"
6"He caught it before it"
7"His only answer came as"
8"He reached the alley’s end"
9"He took the concrete steps"
10"She’d seen that same charm"
11"Her breath plumed white in"
12"Her boots found purchase on"
13"He dropped to one knee,"
14"He slid through the gap"
15"She ran her fingers along"
16"She shifted her weight and"
17"They pulled his badge from"
18"They left silence."
19"She unclipped her radio."
ratio0.299
38.68% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount166
totalSentences197
matches
0"Rain lashed the Camden pavement"
1"Quinn’s boots struck the wet"
2"The figure ahead bolted past"
3"Puddles shattered under his soles."
4"Spray coated the brickwork."
5"She kept the distance at"
6"Water dripped from the brim"
7"She wiped it away with"
8"The chase clocked four minutes."
9"Her lungs burned."
10"She ignored it."
11"The suspect cut left down"
12"Brick walls closed in."
13"The smell of wet cardboard"
14"His footsteps splashed through pooled"
15"He vaulted a rusted bike"
16"The satchel strap slipped."
17"He caught it before it"
18"Metal groaned under his weight."
19"A plastic crate toppled and"
ratio0.843
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences197
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences53
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
87.6402%