Run: 2026-07-25-01KYD5CX9Q88S476NYXHC01Q64

Run Details

Duration:
1m 9s
Cost:
$0.027675
Provider:
Moonshot AI

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 rain came down on Soho like the city was trying to wash something off its hands. Detective Harlow Quinn stood across the street from the Raven's Nest, collar up, watching the green neon sign bleed color into the wet pavement. Three weeks of surveillance. Three weeks of watching the same faces drift in and out of that bar like smoke through a cracked window. And tonight, finally, movement worth the damp seeping through her coat. Tomás Herrera came out the side door at 11:40, moving fast, a canvas satchel clutched against his chest like something living. He glanced left, then right, and Quinn stepped back into the doorway shadow before his eyes could find her. She'd made him two days ago — the former paramedic, the disgraced NHS man who'd lost his license for reasons buried under sealed disciplinary records. The one who patched up the clique when hospitals would ask too many questions. He wasn't carrying a medical bag tonight. Herrera set off north, and Quinn followed, keeping half a block between them, her boots silent on the slick stone. Eighteen years on the job had taught her the rhythm of a tail — match the target's pace, never his stops, let the crowd be your wall. But there was no crowd at this hour, just the rain and the hiss of tires somewhere on Shaftesbury Avenue, and Herrera walked like a man who expected to be followed. He checked his shoulder twice. She'd made him nervous. Good. Then he ran. It wasn't a build-up, no tension in the shoulders first — one moment he was walking, the next he was a dark shape sprinting through the downpour, satchel swinging. Quinn swore and went after him, her worn leather watch catching the streetlight as she pushed her arm through the motion. Forty-one years old and she could still move. Her lungs remembered the drill even when her knees complained. "Herrera!" she shouted. "Metropolitan Police—" He didn't look back. They never did. He cut left into an alley, and Quinn took the corner wide, expecting a swing or a blade — he'd been stabbed once, she knew that from his file, a scar along his left forearm, and men who'd been cut learned to cut first. But the alley was empty except for him, twenty meters ahead, vaulting a stack of pallets like they'd been placed there for him. Maybe they had. The thought slid cold down her spine. A prepared route. He'd planned for this. She went over the pallets anyway, her hip barking pain, and came out onto Camden's back streets where the shutters were down and the streetlights stood like bored sentries. Herrera was thirty meters ahead now, but he was flagging — she could see it in the hitch of his stride, the way the satchel dragged at his shoulder. Whatever he carried, it was heavy, and he wasn't a young man's fitness anymore either. "You're only making this worse!" she called out, breath steaming. He darted right, through a rusted gate hanging off one hinge, and Quinn saw the sign above it and felt her stomach tighten: an old Tube station, decommissioned decades ago, the roundel so weathered it was barely a ghost of red. The kind of place the city forgot on purpose. Herrera disappeared down the stairs. Quinn stopped at the top of them, rain streaming off her hair, her salt-and-pepper crop plastered flat against her skull. She reached for her radio and got static — a thick, wrong-sounding static, almost textured, almost like whispering. She tried her phone. No signal. Of course. Underground, dead zones, perfectly explainable. Perfectly explainable. The words she'd been repeating to herself for three years, ever since Morris. She thought of DS Morris standing at the top of a different stairwell, a warehouse in Barking, saying give me two minutes, Quinn, just two. They'd found him four hours later with his eyes open and no mark on him, and the coroner had used the phrase "inconclusive" eleven times in a single report, and nobody — nobody — had ever given her a straight answer about what killed a healthy thirty-four-year-old man mid-sentence. The stairwell breathed up at her. Warm air. Wrong for a dead station. And there was a smell — copper and candle wax and something sweetly rotten, like fruit gone soft in the sun. She should call it in. Wait for backup. Stand here in the rain like a professional and log the location and do everything by the book she'd spent eighteen years defending. Herrera had her suspect's satchel. Herrera was going to disappear into whatever this was, and she'd spend another three weeks — three months — watching a green neon sign and learning nothing. Morris wouldn't have waited. Quinn checked her sidearm, drew a slow breath through her nose, and went down. The stairs ended at a corridor that should have been dark and wasn't. Light came from somewhere ahead — warm, flickering, alive. Old tiles lined the walls, cracked and grimed, but someone had strung wires along the ceiling, and lanterns hung from them at intervals, burning with a greenish flame that put no heat into the air. Her shadow stretched and shivered ahead of her. The corridor opened onto the platform, and Quinn stopped walking. It was a market. It was impossible, and it was a market. Stalls lined the platform edge and filled the track bed below, built from driftwood and scaffolding and draped canvas. Dozens of them. Maybe a hundred. People moved between them — people, she told herself, though a man at the nearest stall had eyes like a cat's caught in headlights, and a woman haggling over a jar of cloudy liquid had too many fingers on the hand she was counting coins with. Bottles glowed. Bundles of herbs hung beside things that weren't herbs, things with teeth. A sign above one stall read NO REFUNDS ON PROPHECIES in elegant painted script. Nobody screamed. Nobody even looked surprised to see a soaking-wet detective with a warrant card in her pocket standing at the corridor mouth. A few glanced at her, dismissed her, moved on. That frightened her more than anything. They'd seen police before. It didn't matter to them. Herrera was ahead of her — she caught a flash of his olive skin, the satchel, the glint of a medallion at his throat as he pushed through the crowd, thirty meters in and moving fast. He glanced back once, and this time he saw her, and his warm brown eyes went wide. She had a choice, and she knew it was the same choice she'd made at the top of the stairs, only louder now. This place was beyond her jurisdiction in a way that had nothing to do with geography. She had no backup, no signal, no understanding of the rules here. The sensible part of her — the part with the sharp jaw and the military bearing and the eighteen years of decorated service — told her to memorize everything and walk away. Then she saw a stall where a man was selling bone tokens from a brass bowl, and a woman buying one, and she understood somehow, with a detective's instinct that felt almost like grief, that this whole place ran on rules she'd never been taught. That somewhere in this market, or through it, was the thread connected to the clique, to the sealed records, to the impossible coroner's reports she'd collected like scars. To Morris. Quinn squared her shoulders, stepped down onto the platform, and went in after Herrera — into the lantern light, into the crowd, into the dark heart of a city she'd policed her whole life without ever once seeing it true.
created_at"2026-07-25T17:33:05.254Z" 7/25/2026, 5:33:05 PM
model"moonshotai/kimi-k3-20260715"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3483
moderation_latency(null)
generation_time66947
tokens_prompt888
tokens_completion1911
native_tokens_prompt910
native_tokens_completion1663
native_tokens_completion_images(null)
native_tokens_reasoning37
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"
service_tier(null)
usage0.027675
router(null)
provider_responses
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endpoint_id"650c9b12-7b6d-444d-8d92-df8daef84d7a"
id"chatcmpl-6a64f34d50d5e7a20398624d"
is_byokfalse
latency3456
model_permaslug"moonshotai/kimi-k3-20260715"
provider_name"Moonshot AI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1785000786-b5dlC7t2w3NTy192hbds"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785000786-IBurkSIsV2WKcWQtrwNG"
upstream_id"chatcmpl-6a64f34d50d5e7a20398624d"
total_cost0.027675
cache_discount(null)
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provider_name"Moonshot AI"
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data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences4
tagDensity0.75
leniency1
rawRatio0
effectiveRatio0
88.25% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1277
totalAiIsmAdverbs3
found
0
adverb"perfectly"
count2
1
adverb"sweetly"
count1
highlights
0"perfectly"
1"sweetly"
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)
80.42% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1277
totalAiIsms5
found
0
word"tension"
count1
1
word"down her spine"
count1
2
word"stomach"
count1
3
word"streaming"
count1
4
word"glint"
count1
highlights
0"tension"
1"down her spine"
2"stomach"
3"streaming"
4"glint"
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
emotionTells1
narrationSentences88
matches
0"looked surprised"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences88
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences89
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen51
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1294
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions33
wordCount1285
uniqueNames12
maxNameDensity0.86
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn11
Raven1
Nest1
Herrera9
Shaftesbury1
Avenue1
Camden1
Tube1
Morris4
Barking1
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Camden"
4"Morris"
places
0"Soho"
1"Raven"
2"Shaftesbury"
3"Avenue"
4"Barking"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences56
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1294
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences89
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs34
mean38.06
std29.96
cv0.787
sampleLengths
017
159
279
37
478
510
63
768
85
97
1084
1173
1210
1350
145
1551
1615
1774
1834
1931
2032
214
2214
2365
2410
2512
2699
2732
2815
2953
3083
3173
322
3340
93.30% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences88
matches
0"been stabbed"
1"been placed"
2"been taught"
11.32% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount6
totalVerbs212
matches
0"was trying"
1"wasn't carrying"
2"was walking"
3"was flagging "
4"was counting"
5"was selling"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount17
semicolonCount0
flaggedSentences14
totalSentences89
ratio0.157
matches
0"She'd made him two days ago — the former paramedic, the disgraced NHS man who'd lost his license for reasons buried under sealed disciplinary records."
1"Eighteen years on the job had taught her the rhythm of a tail — match the target's pace, never his stops, let the crowd be your wall."
2"It wasn't a build-up, no tension in the shoulders first — one moment he was walking, the next he was a dark shape sprinting through the downpour, satchel swinging."
3"He cut left into an alley, and Quinn took the corner wide, expecting a swing or a blade — he'd been stabbed once, she knew that from his file, a scar along his left forearm, and men who'd been cut learned to cut first."
4"Herrera was thirty meters ahead now, but he was flagging — she could see it in the hitch of his stride, the way the satchel dragged at his shoulder."
5"She reached for her radio and got static — a thick, wrong-sounding static, almost textured, almost like whispering."
6"They'd found him four hours later with his eyes open and no mark on him, and the coroner had used the phrase \"inconclusive\" eleven times in a single report, and nobody — nobody — had ever given her a straight answer about what killed a healthy thirty-four-year-old man mid-sentence."
7"And there was a smell — copper and candle wax and something sweetly rotten, like fruit gone soft in the sun."
8"Herrera was going to disappear into whatever this was, and she'd spend another three weeks — three months — watching a green neon sign and learning nothing."
9"Light came from somewhere ahead — warm, flickering, alive."
10"People moved between them — people, she told herself, though a man at the nearest stall had eyes like a cat's caught in headlights, and a woman haggling over a jar of cloudy liquid had too many fingers on the hand she was counting coins with."
11"Herrera was ahead of her — she caught a flash of his olive skin, the satchel, the glint of a medallion at his throat as he pushed through the crowd, thirty meters in and moving fast."
12"The sensible part of her — the part with the sharp jaw and the military bearing and the eighteen years of decorated service — told her to memorize everything and walk away."
13"Quinn squared her shoulders, stepped down onto the platform, and went in after Herrera — into the lantern light, into the crowd, into the dark heart of a city she'd policed her whole life without ever once seeing it true."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1278
adjectiveStacks1
stackExamples
0"under sealed disciplinary records."
adverbCount44
adverbRatio0.03442879499217527
lyAdverbCount6
lyAdverbRatio0.004694835680751174
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences89
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences89
mean14.54
std12.25
cv0.842
sampleLengths
017
124
24
320
411
521
619
725
814
97
1020
1127
1231
135
144
151
163
1729
1821
198
2010
213
222
234
243
2544
2623
273
287
293
304
3129
3229
3315
3410
3541
369
375
3820
3918
404
412
422
435
442
4513
4625
4749
486
492
73.03% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.47191011235955055
totalSentences89
uniqueOpeners42
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences79
matches
0"Then he ran."
1"Maybe they had."
2"Maybe a hundred."
3"Then she saw a stall"
ratio0.051
83.29% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount27
totalSentences79
matches
0"He glanced left, then right,"
1"She'd made him two days"
2"He wasn't carrying a medical"
3"He checked his shoulder twice."
4"She'd made him nervous."
5"It wasn't a build-up, no"
6"Her lungs remembered the drill"
7"He didn't look back."
8"They never did."
9"He cut left into an"
10"He'd planned for this."
11"She went over the pallets"
12"she called out, breath steaming"
13"He darted right, through a"
14"She reached for her radio"
15"She tried her phone."
16"She thought of DS Morris"
17"They'd found him four hours"
18"She should call it in."
19"Her shadow stretched and shivered"
ratio0.342
80.25% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount60
totalSentences79
matches
0"The rain came down on"
1"Detective Harlow Quinn stood across"
2"Tomás Herrera came out the"
3"He glanced left, then right,"
4"She'd made him two days"
5"The one who patched up"
6"He wasn't carrying a medical"
7"Herrera set off north, and"
8"He checked his shoulder twice."
9"She'd made him nervous."
10"It wasn't a build-up, no"
11"Quinn swore and went after"
12"Her lungs remembered the drill"
13"He didn't look back."
14"They never did."
15"He cut left into an"
16"The thought slid cold down"
17"A prepared route."
18"He'd planned for this."
19"She went over the pallets"
ratio0.759
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences79
matches(empty)
ratio0
95.24% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences45
technicalSentenceCount3
matches
0"She'd made him two days ago — the former paramedic, the disgraced NHS man who'd lost his license for reasons buried under sealed disciplinary records."
1"Old tiles lined the walls, cracked and grimed, but someone had strung wires along the ceiling, and lanterns hung from them at intervals, burning with a greenish…"
2"Then she saw a stall where a man was selling bone tokens from a brass bowl, and a woman buying one, and she understood somehow, with a detective's instinct that…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount2
fancyTags
0"she shouted (shout)"
1"she called out (call out)"
dialogueSentences4
tagDensity0.5
leniency1
rawRatio1
effectiveRatio1
83.3038%