Run: 2026-07-25-01KYD5R06NFT6XMKWAS98BHSX9

Run Details

Duration:
1m 21s
Cost:
$0.032895
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 like it had a grudge against the city, and Quinn ran through it anyway. Her target was twenty meters ahead — a wiry man in a gray hoodie who had bolted the moment she'd shown her warrant card outside the Raven's Nest. The bar's green neon sign had painted them both sickly for half a heartbeat before he'd knocked over a table of tourists and gone sprinting down Frith Street, and now the neon was behind them and the chase belonged to the dark. "Stop! Police!" The words came out by reflex, the way they always did, the way they'd never once worked. The man didn't even glance back. He cut left across Dean Street, slipping between a black cab and a delivery bike, and Quinn followed into the horn blasts and the hiss of wet brakes, one hand raised in apology she didn't feel. Eighteen years on the force and her knees still remembered how to do this. The worn leather watch on her left wrist bounced against the bone with every stride. Her coat was already soaked through at the shoulders, her salt-and-pepper hair plastered flat, rain running down the sharp line of her jaw and off her chin. She was fit for forty-one. The man ahead of her was fit for twenty-something, and scared, which was worth more than fitness. His name was Danny Kessler, and he had sold something to a dead girl in Fitzrovia three nights ago. Quinn didn't know what. She only knew that the girl had died with her eyes open and silver threading through her veins like frost on a window, and that the pathologist had quietly refused to sign the certificate, and that Danny Kessler's prints had been on the girl's door. She'd seen silver like that before. Once. Three years ago, in a stairwell in Peckham, on the body of DS Morris. That thought had no business in a pursuit. She shoved it down where it belonged and ran. Kessler vaulted the barriers at the end of the street where Soho gave way toward Camden, past shuttered shops and the orange glow of a kebab house. He was heading for the Tube. Not the open stations — Quinn knew this stretch, knew the disused station that sat boarded up off the high road, a husk the city had forgotten to demolish. Nobody went there. Except, apparently, tonight. "Control, this is DI Quinn," she gasped into her radio, thumbing it as she ran. "In pursuit of a suspect, heading toward the old Camden station. Requesting units." Static answered her, thick and greasy, and underneath it something that almost sounded like breathing. She glanced at the radio. The signal bars were dead. That was impossible — she was in the middle of London, not the Highlands. She dropped the radio back into its clip and kept running. Kessler reached the station's hoardings and didn't slow. There was a gap in the boards she would have sworn hadn't been there when she'd walked past last month — a man-sized tear in the plywood, black as a throat behind it. He slipped through sideways and vanished. Quinn pulled up hard at the gap, chest heaving, rain streaming off her nose. Every instinct drilled into her by eighteen years of procedure said wait. No comms. No backup. No bodycam coverage in a dead signal zone. An unknown structure, an unknown number of exits, a suspect who clearly knew where he was going. She had drilled rookies out of exactly this kind of stupidity. You go home at the end of the shift. That was the only rule that mattered. Then she thought of Morris lying on that stairwell landing with silver in his veins, and the coroner writing cardiac arrest because there had been no other words available, and three years of unanswered questions sitting in her chest like swallowed glass. Kessler knew what that silver was. She was sure of it the way she was sure of her own name. "Damn it," she said quietly, and went through the gap. Inside, the station smelled of wet stone and old smoke. The ticket hall was a cavern of peeling green tile, and it was not abandoned — that was the first wrong thing, the thing that made her stop dead with her hand halfway to her collar. There were lights. Strings of them, bare bulbs and things that burned colder and bluer than bulbs should, strung between the pillars like a night market. There were stalls. There were people. Too many people for a dead Tube station on a Tuesday, and they were wrong, the way a face in a crowd is wrong when you can't say why. A woman at a nearby stall turned toward her, and her eyes caught the light like a cat's. A man haggling over jars of something amber had too many teeth when he smiled. Nobody was surprised to see the station full. Nobody was surprised to see Quinn. That frightened her more than screaming would have. This was on no map, no briefing, no intelligence report she had ever read. A market beneath Camden, and she had lived on top of it her whole career. Kessler was twenty meters in, moving fast between the stalls, and he was doing something with his hands as he walked — digging in his pocket. Quinn closed the distance, shouldering past a stall hung with bones carved into tokens, hundreds of them, clicking together in a draft that came up from the tunnels. A man stepped into her path. Huge, bearded, wearing a butcher's apron over a silk shirt. He held out one palm, and his voice was perfectly polite. "Token." "I'm police," Quinn said, reaching for her warrant card on reflex. "That's nice, love." He didn't move. His palm stayed out, scarred and enormous. "Token or you go back up the stairs. Them's the rules. Them's always been the rules." Kessler was at a stall now, exchanging something — a small bone disc, white as a knuckle — with a stallholder who waved him through a curtain of chains into the deeper market. He looked back once. Even at this distance, through the strange blue light, she saw his face. He knew she'd followed him. He hadn't expected it, and now he was moving faster, slipping into the crowd where the stalls pressed closer and the lights burned colder. "I'm pursuing a suspect in a murder investigation," Quinn said. Her voice came out steady, military-steady, the voice she used on doorstep deaths and armed standoffs. "The man who just went through there. Step aside." The bearded man looked at her the way men looked at weather — with a kind of patient indifference. "No warrant card works down here, detective. No radio neither, in case you hadn't noticed. Down here you pay the price of entry or you leave." He leaned in slightly, and she smelled smoke and clove on him. "And I'll give you this for free, because you've got honest eyes and a dead partner's grief all over your face. Some of what sells past that curtain sells to people who eat. You understand me? Go home." The words hit her like a slap. A dead partner's grief. She'd told no one. She'd told no one about Morris since the inquest. "How do you—" "Token," he repeated, gently, "or the stairs." She looked past him. The curtain of chains swayed where Kessler had gone through. Beyond it the market wound away into the dark of the old platform tunnels, and she could hear things down there — music that wasn't quite music, a laugh that went on too long, the clink of glass and the soft percussion of commerce conducted by people who should not exist. She was one unarmed woman in a place with no law she recognized, no backup, no comms, no exit she could guarantee, and somewhere in that dark was the man who could tell her what had killed Morris. What was still killing. The girl in Fitzrovia with silver in her veins had been twenty-four years old. Every rule she'd ever taught said go up the stairs. Wait for daylight. Come back with a team and a warrant and sunlight. But there would be no team. She knew that with the same cold certainty she knew her own name. She would write this up and be told the station was empty, that she'd chased a suspect into a hoarding and lost him in the dark. The boards would be whole by morning. The gap would be gone. It moved, she understood suddenly, the way fog moves, the way guilt moves — a market that was never in the same place when you came looking. Tonight was the only door she would ever get. Quinn looked down at her hands. Empty. Nothing to trade. Then her fingers found the leather strap of her watch — Morris's watch, actually, the one he'd worn the night he died, the one she'd taken from the evidence bag and never signed back out. She held the bearded man's pale, patient stare. "What," she asked quietly, "counts as a token?" And the butcher smiled, and it wasn't kind, and the chains beyond him clicked softly in a wind that came up from somewhere far below London, and Quinn stepped closer to hear the price.
created_at"2026-07-25T17:39:08.636Z" 7/25/2026, 5:39:08 PM
model"moonshotai/kimi-k3-20260715"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3530
moderation_latency(null)
generation_time80621
tokens_prompt888
tokens_completion2294
native_tokens_prompt910
native_tokens_completion2011
native_tokens_completion_images(null)
native_tokens_reasoning89
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)
usage0.032895
router(null)
provider_responses
0
endpoint_id"650c9b12-7b6d-444d-8d92-df8daef84d7a"
id"chatcmpl-6a64f4bd7e9f80111fc5d9d6"
is_byokfalse
latency3530
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-1785001148-PL1d2m8dnt49dkaMqQsF"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785001148-8ItkR0kvlCxXjuLGER8L"
upstream_id"chatcmpl-6a64f4bd7e9f80111fc5d9d6"
total_cost0.032895
cache_discount(null)
upstream_inference_cost0
provider_name"Moonshot AI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags8
adverbTagCount2
adverbTags
0"she said quietly [quietly]"
1"she asked quietly [quietly]"
dialogueSentences15
tagDensity0.533
leniency1
rawRatio0.25
effectiveRatio0.25
83.93% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1556
totalAiIsmAdverbs5
found
0
adverb"perfectly"
count1
1
adverb"slightly"
count1
2
adverb"gently"
count1
3
adverb"suddenly"
count1
4
adverb"softly"
count1
highlights
0"perfectly"
1"slightly"
2"gently"
3"suddenly"
4"softly"
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)
90.36% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1556
totalAiIsms3
found
0
word"streaming"
count1
1
word"structure"
count1
2
word"silk"
count1
highlights
0"streaming"
1"structure"
2"silk"
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
emotionTells2
narrationSentences105
matches
0"was surprised"
1"was surprised"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount0
narrationSentences105
filterMatches
0"watch"
1"watch — watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences112
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen50
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1568
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions45
wordCount1431
uniqueNames18
maxNameDensity0.77
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Quinn11
Raven1
Nest1
Frith1
Street2
Dean1
Danny2
Kessler8
Fitzrovia2
Peckham1
Morris5
Soho1
Camden2
Tube2
Static1
London2
Highlands1
Tuesday1
persons
0"Quinn"
1"Danny"
2"Kessler"
3"Morris"
4"Static"
places
0"Raven"
1"Frith"
2"Street"
3"Dean"
4"Fitzrovia"
5"Peckham"
6"Soho"
7"Camden"
8"London"
9"Highlands"
globalScore1
windowScore1
86.71% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences79
glossingSentenceCount2
matches
0"sounded like breathing"
1"quite music, a laugh that went on too long, the clink of glass and the soft percussion of commerce conducted by people who should not exist"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1568
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences112
matches
0"knew that the"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs39
mean40.21
std30.5
cv0.759
sampleLengths
018
170
22
359
478
568
621
717
868
928
1039
1111
1247
1314
1468
1542
1620
1710
1878
1984
2029
2154
2227
231
2411
2529
2679
2735
2895
2924
303
317
32121
3323
3493
3545
368
378
3834
98.58% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences105
matches
0"was surprised"
1"was surprised"
83.04% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs228
matches
0"was heading"
1"was going"
2"was doing"
3"was still killing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount12
semicolonCount0
flaggedSentences11
totalSentences112
ratio0.098
matches
0"Her target was twenty meters ahead — a wiry man in a gray hoodie who had bolted the moment she'd shown her warrant card outside the Raven's Nest."
1"Not the open stations — Quinn knew this stretch, knew the disused station that sat boarded up off the high road, a husk the city had forgotten to demolish."
2"That was impossible — she was in the middle of London, not the Highlands."
3"There was a gap in the boards she would have sworn hadn't been there when she'd walked past last month — a man-sized tear in the plywood, black as a throat behind it."
4"The ticket hall was a cavern of peeling green tile, and it was not abandoned — that was the first wrong thing, the thing that made her stop dead with her hand halfway to her collar."
5"Kessler was twenty meters in, moving fast between the stalls, and he was doing something with his hands as he walked — digging in his pocket."
6"Kessler was at a stall now, exchanging something — a small bone disc, white as a knuckle — with a stallholder who waved him through a curtain of chains into the deeper market."
7"The bearded man looked at her the way men looked at weather — with a kind of patient indifference."
8"Beyond it the market wound away into the dark of the old platform tunnels, and she could hear things down there — music that wasn't quite music, a laugh that went on too long, the clink of glass and the soft percussion of commerce conducted by people who should not exist."
9"It moved, she understood suddenly, the way fog moves, the way guilt moves — a market that was never in the same place when you came looking."
10"Then her fingers found the leather strap of her watch — Morris's watch, actually, the one he'd worn the night he died, the one she'd taken from the evidence bag and never signed back out."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1426
adjectiveStacks0
stackExamples(empty)
adverbCount39
adverbRatio0.0273492286115007
lyAdverbCount16
lyAdverbRatio0.011220196353436185
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences112
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences112
mean14
std11.35
cv0.811
sampleLengths
018
128
242
32
417
56
636
714
815
927
105
1117
1219
134
1445
156
161
1714
188
199
2027
216
2229
233
243
2515
2613
2715
285
295
3014
3111
328
3333
346
3514
3612
372
382
398
4017
4111
429
437
4442
456
4614
4710
4810
4936
56.25% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.4017857142857143
totalSentences112
uniqueOpeners45
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences100
matches
0"Then she thought of Morris"
1"Too many people for a"
2"Then her fingers found the"
ratio0.03
80.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount35
totalSentences100
matches
0"Her target was twenty meters"
1"He cut left across Dean"
2"Her coat was already soaked"
3"She was fit for forty-one."
4"His name was Danny Kessler,"
5"She only knew that the"
6"She'd seen silver like that"
7"She shoved it down where"
8"He was heading for the"
9"she gasped into her radio,"
10"She glanced at the radio."
11"She dropped the radio back"
12"He slipped through sideways and"
13"She had drilled rookies out"
14"You go home at the"
15"She was sure of it"
16"she said quietly, and went"
17"He held out one palm,"
18"He didn't move"
19"His palm stayed out, scarred"
ratio0.35
65.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount79
totalSentences100
matches
0"The rain came down like"
1"Her target was twenty meters"
2"The bar's green neon sign"
3"The words came out by"
4"The man didn't even glance"
5"He cut left across Dean"
6"The worn leather watch on"
7"Her coat was already soaked"
8"She was fit for forty-one."
9"The man ahead of her"
10"His name was Danny Kessler,"
11"Quinn didn't know what."
12"She only knew that the"
13"She'd seen silver like that"
14"That thought had no business"
15"She shoved it down where"
16"Kessler vaulted the barriers at"
17"He was heading for the"
18"Nobody went there."
19"she gasped into her radio,"
ratio0.79
50.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences100
matches
0"Even at this distance, through"
ratio0.01
60.44% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences52
technicalSentenceCount6
matches
0"Her target was twenty meters ahead — a wiry man in a gray hoodie who had bolted the moment she'd shown her warrant card outside the Raven's Nest."
1"Not the open stations — Quinn knew this stretch, knew the disused station that sat boarded up off the high road, a husk the city had forgotten to demolish."
2"The ticket hall was a cavern of peeling green tile, and it was not abandoned — that was the first wrong thing, the thing that made her stop dead with her hand h…"
3"Kessler was at a stall now, exchanging something — a small bone disc, white as a knuckle — with a stallholder who waved him through a curtain of chains into the…"
4"Beyond it the market wound away into the dark of the old platform tunnels, and she could hear things down there — music that wasn't quite music, a laugh that we…"
5"She was one unarmed woman in a place with no law she recognized, no backup, no comms, no exit she could guarantee, and somewhere in that dark was the man who co…"
62.50% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount1
matches
0"he repeated, gently,"
16.67% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount2
fancyTags
0"she gasped (gasp)"
1"he repeated (repeat)"
dialogueSentences15
tagDensity0.4
leniency0.8
rawRatio0.333
effectiveRatio0.267
81.1160%