Run: 2026-09-02-01M1HCBD1Z928NHAPM2T71ZE98

Run Details

Duration:
3m 58s
Cost:
$0.000000
Provider:
Alibaba

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
The green neon of the Raven’s Nest still burned in Detective Harlow Quinn’s eyes when the courier bolted. She had been watching the bar for three hours, first from inside with a whiskey going warm under her hand, then from across the street with the rain stitching silver lines through the headlights. The sign above the entrance buzzed and spat, its green glow slicking the wet pavement. Inside, the walls had been crowded with old maps and black-and-white photographs, the kind of place that made itself look harmless by pretending to be nostalgic. Quinn had spent twenty minutes studying the bookshelf at the back and another ten pretending not to. When it opened, she had seen the courier slip through with a leather satchel pressed against his ribs and chalk dust on his cuffs. He moved like a man carrying something worse than money. Quinn gave him half a block before she followed. She was forty-one, five feet nine, and built like a decision she hadn’t changed in years. Rain ran down the sharp line of her jaw and into the collar of her coat. The worn leather watch on her left wrist was soaked black. She kept to the shadows with military precision, measuring distance, exits, light. Eighteen years in the Metropolitan Police had taught her that suspects rarely ran from nothing. They ran because nothing was about to become very specific. The courier reached the corner of Frith Street and looked back. His eyes found her instantly. Quinn didn’t flinch. She didn’t pretend. She lengthened her stride. He ran. He cut through a knot of people sheltering under an awning, knocked over a sandwich board, and vanished down an alley that stank of beer and wet cardboard. Quinn followed. Her shoes slapped through puddles. Neon smeared across the wet brick. Somewhere behind her a taxi horned twice, long and angry, then faded under the sound of the rain. By the time she reached the alley’s mouth, the courier was already in a black cab, one hand slapping the roof, the other still clutching the satchel. The car surged into traffic before Quinn could draw breath to shout. She swore once, sharply, and went to her own vehicle. The chase north took forty minutes and cost her three years off her nerves. The courier’s cab cut through Bloomsbury, then Camden, skidding on rain-bright streets. Quinn kept two cars between them whenever she could, one when she couldn’t. The wipers beat hard against the windshield. The heater blew cold. Every time lightning flashed over the rooftops, the city looked bleached and skeletal, all wires and chimney pots and wet black road. Near Camden High Street the cab stopped too fast. The courier threw money at the driver and fled on foot. Quinn parked across the pavement, engine still running, and went after him. Rain filled her eyes. Her coat was heavy with it. She ran with her shoulders down and her breath controlled, the way she had been trained to run when running was still supposed to be useful. The courier glanced back again. This time she saw something more than fear in his face. She saw calculation. He was heading somewhere. That was the first real warning. He cut left through a passage between a shuttered record shop and a takeaway smelling of old oil. Quinn followed, one hand on the wall to keep balance on the slick tiles. The passage narrowed, then opened into a stretch of street she didn’t recognize. There were no shopfronts there, only a low wall, a chain-link fence gone orange with rust, and beyond them the black mouth of an abandoned Tube station. The entrance had no official sign. There was a tiled archway instead, the glaze cracked and dirty, and a steel door set into the brick. The courier stopped in front of it, chest heaving, and reached inside his coat. Quinn slowed. He produced a token. Even from ten yards away she could see it was pale and round and carved from something too dense to be plastic. Bone, maybe. He pressed it into a recess in the door. There was no mechanical click, no scrape of bolts. The door simply opened inward as if it had been waiting. The courier disappeared down the stairs. The door began to close. Quinn’s hand went to her pocket. The token she carried was warm, warmer than the night had any right to make it. She had taken it two days earlier from a dead man’s fist in a Southwark mortuary corridor. The evidence bag had fogged with heat around it. The tag had said Unidentified personal effect. Quinn had written nothing else. She knew what the place was. Every cop who worked the edges knew, in the way people knew things they couldn’t put in reports. The Veil Market. Hidden supernatural black market. Enchanted goods, banned alchemical substances, information that got people hurt. It moved locations every full moon. Tonight, according to a string of informants who all spoke too quietly and none of whom she trusted, it sat beneath Camden in a station the maps pretended had been sealed for decades. The door was almost shut. Quinn stood in the rain and felt the old fracture line inside her open again. Three years. DS Morris, her partner, gone during a case that had started as fraud and ended in something she still could not name. The file said missing, presumed dead. The file was a liar. She remembered the blood pattern that had no source. The smell of burnt copper. Morris’s voice on the radio, calm until it wasn’t. She remembered the way the recording skipped, not like interference, but like time losing its footing. If she walked away now, she could call it in. She could gather units, warrants, paperwork, all the slow machinery that had failed Morris once already. She could be sensible. The door was a hand’s width from closed. Quinn pulled the bone token from her pocket and moved. She reached the entrance in three strides and pressed the token into the recess. For one ugly second nothing happened. The token sat there like a dead coin. Then heat bloomed beneath her palm, and the door opened with a sound like a drawn breath. She stepped inside. The stairs descended into a tiled throat of old London. The walls were glazed in cream and brown, many of the tiles cracked or missing, the rest shining with damp. Faded signs pointed toward platforms that no longer served trains. The air changed as she went down: rain and traffic fading, replaced by stone, rust, candle smoke, and something sweeter beneath it, like burnt sugar over iron. At the bottom, the station opened into a vaulted ticket hall. The Veil Market spread before her. Stalls had been built into the old ticket windows, their grilles folded back to reveal shelves lined with jars, bundles of dried herbs, folded papers, teeth in little velvet trays, and bottles containing lights that moved too deliberately to be reflections. A carriage with no train attached sat on a siding to one side, its windows glowing amber. People moved through the space in clusters: some in ordinary coats, some in clothes that belonged to no decade Quinn could name, some with their faces half hidden by scarves or hoods. A woman at a nearby table sold information by the whisper, leaning close to clients who paid in coins, blood, or folded notes. A boy no older than fourteen carried a cage full of silver moths that beat against the bars in silence. Quinn kept her face still. She had spent her life refusing to be impressed by cruelty. This was different. This was not cruelty alone. It was commerce. It had rules. That made it worse. She scanned the crowd for the courier. The leather satchel was easy to picture against his hip. She moved along the edge of the hall, shoulders brushing the wall, brown eyes catching every turn. The token was still in her hand. She slid it into her pocket because holding it made her skin feel too aware of itself. A stall to her left sold mirrors that showed no reflection. Another offered alchemical powders in paper twists, each one labeled with symbols Quinn didn’t understand and a red warning band she did. The smell of ozone sharpened. Somewhere deeper in the station, a bell rang once. The crowd shifted as if on command, then settled again. She almost missed the man who stepped into her path. He came from a carved carriage with the easy posture of someone used to being where trouble happened. Short curly dark brown hair, damp at the temples. Olive skin. A Saint Christopher medallion at his throat caught the low light when he moved. He was twenty-nine, maybe, and five feet ten, with warm brown eyes that looked far too calm for a place like this. A scar ran along his left forearm where his sleeve had been pushed back. His hands were empty, palms out, the gesture of a man who did not want to startle her. “Detective Quinn,” he said. She stopped. “You have me at a disadvantage,” she said. “You have everyone at a disadvantage tonight. That’s why I’m talking.” His accent was Spanish, softened by London but still there. “My name is Tomás Herrera.” The name surfaced from the file she had built and never shown to anyone above sergeant rank. Former paramedic. Born in Seville. Moved to London to work for the NHS. Lost his license after administering unauthorized treatments to patients no hospital would admit. Since then, he had been providing off-the-books medical care to people who lived in the cracks. People like those around him now. “You know who I am,” Quinn said. “I know what you are.” “Then you know I’m not here for small talk.” “I know.” Tomás glanced past her toward the deeper tunnels. “You followed someone in.” “Yes.” “A man with a satchel.” Quinn’s eyes narrowed. “You’ve seen him.” “I saw him pass. He is frightened, and frightened men make wounds for other people.” Tomás’s gaze dropped to her left hand. “You are bleeding.” She looked down. A cut ran across her knuckles where she must have scraped them on the alley wall. She hadn’t felt it. Rain and adrenaline had hidden it
created_at"2026-09-02T15:38:39.048Z" 9/2/2026, 3:38:39 PM
model"qwen/qwen3.8-max-20260803"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency862
moderation_latency(null)
generation_time238221
tokens_prompt888
tokens_completion8326
native_tokens_prompt888
native_tokens_completion8326
native_tokens_completion_images(null)
native_tokens_reasoning5783
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(null)
native_finish_reason(null)
service_tier(null)
usage0
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788363519-MgEpeytP1bZfXelbEZzl"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788363519-ezkDtuzjyN1MISFkkDx7"
upstream_id"chatcmpl-83a3c105-21fd-9f54-a589-caf4edf67e0b"
provider_responses
0
endpoint_id"6332e9fd-e0c4-4cae-8c17-d25bc774864a"
id"chatcmpl-83a3c105-21fd-9f54-a589-caf4edf67e0b"
is_byokfalse
latency862
model_permaslug"qwen/qwen3.8-max-20260803"
provider_name"Alibaba"
status200
total_cost0
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags6
adverbTagCount0
adverbTags(empty)
dialogueSentences14
tagDensity0.429
leniency0.857
rawRatio0
effectiveRatio0
91.32% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1728
totalAiIsmAdverbs3
found
0
adverb"very"
count1
1
adverb"sharply"
count1
2
adverb"deliberately"
count1
highlights
0"very"
1"sharply"
2"deliberately"
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)
85.53% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1728
totalAiIsms5
found
0
word"mechanical"
count1
1
word"velvet"
count1
2
word"whisper"
count1
3
word"silence"
count1
4
word"scanned"
count1
highlights
0"mechanical"
1"velvet"
2"whisper"
3"silence"
4"scanned"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences149
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount1
narrationSentences149
filterMatches
0"look"
1"watch"
2"feel"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences157
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen41
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1728
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
92.49% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions55
wordCount1652
uniqueNames25
maxNameDensity1.15
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Raven1
Nest1
Detective1
Harlow1
Quinn19
Metropolitan1
Police1
Frith1
Street2
Bloomsbury1
Camden3
High1
Tube1
Southwark1
Unidentified1
Veil2
Market2
Morris3
London3
Saint1
Christopher1
Spanish1
Seville1
Tomás2
Rain3
persons
0"Raven"
1"Nest"
2"Harlow"
3"Quinn"
4"Police"
5"Morris"
6"Saint"
7"Christopher"
8"Spanish"
9"Tomás"
10"Rain"
places
0"Detective"
1"Metropolitan"
2"Frith"
3"Street"
4"Bloomsbury"
5"Camden"
6"High"
7"Southwark"
8"London"
9"Seville"
globalScore0.925
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences107
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.579
wordCount1728
matches
0"not like interference, but like time losing its footing"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences157
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs59
mean29.29
std31.27
cv1.068
sampleLengths
018
1116
210
389
411
55
610
72
859
939
1010
1114
1258
1320
1412
1559
166
1772
1839
192
2057
216
225
236
2454
2580
265
2715
2874
2930
308
3110
3214
3331
343
3567
3611
376
38133
395
4029
4158
4257
4310
4497
454
462
478
4826
4965
91.13% Passive voice overuse
Target: ≤2% passive sentences
passiveCount6
totalSentences149
matches
0"been crowded"
1"been trained"
2"been sealed"
3"were glazed"
4"been built"
5"been pushed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs294
matches
0"was heading"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences157
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1660
adjectiveStacks0
stackExamples(empty)
adverbCount55
adverbRatio0.03313253012048193
lyAdverbCount9
lyAdverbRatio0.005421686746987952
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences157
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences157
mean11.01
std7.65
cv0.695
sampleLengths
018
134
215
326
417
524
610
79
816
916
1011
1112
1215
1310
1411
155
163
173
184
192
2028
212
225
236
2418
2527
2612
2710
2814
2912
3013
317
324
3322
349
3511
3612
374
386
3926
405
4111
423
434
446
4518
4614
4713
4827
496
43.10% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.31210191082802546
totalSentences157
uniqueOpeners49
72.46% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences138
matches
0"Somewhere behind her a taxi"
1"Then heat bloomed beneath her"
2"Somewhere deeper in the station,"
ratio0.022
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount40
totalSentences138
matches
0"She had been watching the"
1"He moved like a man"
2"She was forty-one, five feet"
3"She kept to the shadows"
4"They ran because nothing was"
5"His eyes found her instantly."
6"She didn’t pretend."
7"She lengthened her stride."
8"He cut through a knot"
9"Her shoes slapped through puddles."
10"She swore once, sharply, and"
11"Her coat was heavy with"
12"She ran with her shoulders"
13"She saw calculation."
14"He was heading somewhere."
15"He cut left through a"
16"He produced a token."
17"He pressed it into a"
18"She had taken it two"
19"She knew what the place"
ratio0.29
46.96% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount114
totalSentences138
matches
0"The green neon of the"
1"She had been watching the"
2"The sign above the entrance"
3"Quinn had spent twenty minutes"
4"He moved like a man"
5"Quinn gave him half a"
6"She was forty-one, five feet"
7"Rain ran down the sharp"
8"The worn leather watch on"
9"She kept to the shadows"
10"They ran because nothing was"
11"The courier reached the corner"
12"His eyes found her instantly."
13"Quinn didn’t flinch."
14"She didn’t pretend."
15"She lengthened her stride."
16"He cut through a knot"
17"Her shoes slapped through puddles."
18"Neon smeared across the wet"
19"The car surged into traffic"
ratio0.826
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences138
matches
0"By the time she reached"
1"Even from ten yards away"
2"If she walked away now,"
ratio0.022
58.27% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences76
technicalSentenceCount9
matches
0"Inside, the walls had been crowded with old maps and black-and-white photographs, the kind of place that made itself look harmless by pretending to be nostalgic…"
1"Enchanted goods, banned alchemical substances, information that got people hurt."
2"She could gather units, warrants, paperwork, all the slow machinery that had failed Morris once already."
3"A carriage with no train attached sat on a siding to one side, its windows glowing amber."
4"A woman at a nearby table sold information by the whisper, leaning close to clients who paid in coins, blood, or folded notes."
5"A boy no older than fourteen carried a cage full of silver moths that beat against the bars in silence."
6"A stall to her left sold mirrors that showed no reflection."
7"He was twenty-nine, maybe, and five feet ten, with warm brown eyes that looked far too calm for a place like this."
8"Since then, he had been providing off-the-books medical care to people who lived in the cracks."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags6
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences14
tagDensity0.214
leniency0.429
rawRatio0
effectiveRatio0
92.7090%