Run: 2026-09-03-01M1K5QSJVQZRSS4YYAJ6BDM7P

Run Details

Duration:
1m 26s
Cost:
$0.017533
Provider:
Meta

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 hit Camden High Street sideways, hard enough to sting. It hammered the shuttered stalls and the black awnings and turned the pavement into a slick mirror that threw back the shop lights in smeared reds and whites. Harlow Quinn stood under the lip of a closed bookmaker's with her collar up and water running off her closely cropped salt-and-pepper hair, and watched the mouth of the alley across the road. She had been standing there for two hours. Eighteen years on the Met taught you how to stand still. Back straight, weight even, breathing slow. Military precision, her old sergeant used to call it, and he hadn't meant it as a compliment. Her trousers were soaked to the knee. The worn leather watch on her left wrist read 23:41, its face fogged from the inside. The man who came out of the rain at 23:43 was an inch taller than her own five-nine and moving fast with his head down. Short curly dark brown hair plastered to his skull. Olive skin gone pale under the streetlamps. Quinn knew the face from the surveillance stills pinned above her desk. Tomas Herrera, twenty-nine, Seville-born, former NHS paramedic struck off for administering unauthorized treatments to patients who, according to the reports, had never officially existed. She had watched him two nights ago slip out of the back of the Raven's Nest in Soho, that dim bar with the distinctive green neon sign buzzing above the entrance and the walls inside papered with old maps and black-and-white photographs. She had watched him come from behind the bookshelf, not the toilets, the bookshelf that didn't wobble right when the bass hit. A hidden back room for clandestine meetings. She knew what that meant. The clique used the place. She was sure of it. Now here he was in Camden, carrying a battered canvas medical bag, favoring his right side like he had something heavy in his jacket pocket. Quinn stepped out from cover. The rain found her instantly, cold on her neck. "Herrera! Detective Quinn! Metropolitan Police!" His head snapped up. For a half second under the harsh white of a kebab shop sign she saw his eyes clearly, warm brown and wide, and then he ran. He didn't run like a criminal. He ran like a man who carried weight for a living, efficient and low, bag strapped tight across his chest. Quinn ran like a copper who had chased seventeen-year-olds over the Ferrier Estate and learned to love it. Her sharp jaw set. Her boots hit the wet pavement and threw up spray. Her breath burned. "Stop! Police!" He cut left through a knot of late-night drinkers huddled under an umbrella outside a pub, and she heard glass smash, someone shout. The smell of fried onions and wet concrete and diesel filled her nose. A bus hissed past, throwing a sheet of gutter water over her legs. She didn't break stride. He vaulted a low barrier by the station works and dropped down toward the side street that ran behind the High Street, where the clubs bled bass into the rain. Quinn followed, her shoulder clipping brick. Her brown eyes watered from the cold but she kept him in sight, that dark head, that bag bouncing. "Tomás!" she shouted, using his first name before she knew she would. "I'm not here to nick you for the bag! I need to talk about Morris!" It was a mistake. He glanced back, and something in his face changed. Not fear. Pity. He sprinted harder. DS Morris. Three years gone. Found in a service tunnel off the Northern line with his throat closed as if he had drowned on dry land and no water in his lungs and a look on his face Quinn still saw when she closed her eyes. The case file said unexplained circumstances. Quinn said unfinished. For three years she had chased whispers about a clique operating out of Soho bars and back rooms, people who patched each other up without hospitals and paid without money. Herrera was her thread. Off-the-books medical care, the informant had said. He fixes the ones who can't go to A and E. The side street ended in a dead construction fence, blue hoardings shaking in the wind, a sign reading CAMDEN TOWN STATION IMPROVEMENTS. Herrera didn't slow. He went straight for a narrow gap where the hoarding had been pried back, a black slit leading down. Quinn saw the steps beyond, concrete stairs slick with rain, dropping below street level. Old London Transport tiling glistened on the walls. A decommissioned entrance. Her gut went cold in a way that had nothing to do with rain. He took the stairs three at a time. Quinn reached the gap seconds later. The rain drummed on the hoarding above her. Below, yellow work light buzzed and died, buzzed and died. The air coming up smelled wrong, not like sewers but like incense and copper and ozone, like a storm trapped underground. She took the first step down, hand on the wet rail, and stopped. A man stood on the landing halfway down, out of the rain, dry. He was huge, shaved head beaded with damp, arms folded. Behind him a steel gate stood half open, and beyond that, warmth and noise rose up like from a pub cellar. Music. Voices haggling. Something sizzling. Herrera stopped in front of the big man, breathing hard. Rain dripped off his chin. Quinn could see the silver glint at his throat where his shirt stuck to him, a Saint Christopher medallion on a chain. "Token," the big man said. His voice was flat. Herrera fumbled in his jacket with his left hand. Quinn caught the pale line on his olive skin in the buzzing light, the scar running along his left forearm from wrist to elbow, old knife work, the file said. He pulled something small and yellowed from his pocket and held it up between two fingers. A bone token, carved with a tiny eye. The big man nodded and stepped aside. Herrera looked up the stairs then. He saw her. The rain ran down her face and into her mouth. Her chest heaved. "Detective," he called. His accent thickened when he was out of breath, the Seville still in it after six years in London. "Don't. You don't want to come down here." Quinn descended one more step. Water squelched in her boots. "You treat people who won't go to hospital. I know you lost your license for it. I'm not here for that." "Then why?" "Because my partner died three years ago chasing whatever you lot are mixed in. Because I have three dead kids in Southwark with burns that don't match any accelerant and witnesses who swear they saw lights under their skin." Her voice echoed off the tiles. "Because I think you know what killed him." Something flickered across his face. The medallion rose and fell with his breathing. "This is the Veil Market," he said quietly. "You come down without sanction, without trade, you don't walk out the same. You understand me? They sell things down here you don't have names for. Enchanted goods. Banned alchemy. Information that costs more than money." Quinn's left hand tightened on the rail. She could feel her watch digging into her wrist bone. Above her the night buses groaned past, oblivious. Procedure screamed up at her from the wet street. No backup. No radio signal below ground. No warrant. Eighteen years of decorated service and every lesson said call it in, set a perimeter, wait for morning. Full moon rode somewhere above the clouds, fat and white, and she remembered the whisper from Vice: it moves every full moon. If she lost it tonight, she lost the location for another month. Another body would drop in that month. She knew it in her teeth. The big man looked at her, then at Herrera. "She with you? She got token? No token, no entry." Herrera hesitated. Quinn saw the calculation in his warm brown eyes, the paramedic's triage stare, weighing bleed against airway. He slipped the bone token back into his pocket and pushed the gate wider with his scarred forearm. "She's with me," he said. "Her trouble is my trouble." "You vouch?" the big man said. "I vouch." The gate groaned. Heat rolled up the stairs, and with it smell after smell, crushed herbs and hot metal and rotting flowers and frying meat. Quinn heard a woman laughing, and something else beneath the music, a low hum that vibrated in her molars. Herrera held her gaze. "Last chance, Detective. Up there, it's rain and paperwork. Down here, they will smell that you don't believe yet. That makes you prey." Quinn thought of Morris's face in the morgue. She thought of the back room behind the bookshelf in the Raven's Nest, of maps with pins in places that didn't exist. She lifted her chin, jaw sharp even with water running off it, and forced her breathing back into its even military count. "Lead the way, Tommy," she said, and stepped down into the light. The gate clanged shut behind her, cutting off the rain.
created_at"2026-09-03T08:21:33.922Z" 9/3/2026, 8:21:33 AM
model"meta/muse-spark-1.3-20260902"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4912
moderation_latency(null)
generation_time86182
tokens_prompt888
tokens_completion2247
native_tokens_prompt814
native_tokens_completion3886
native_tokens_completion_images0
native_tokens_reasoning1874
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"completed"
service_tier"auto"
usage0.017533
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
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request_id"req-1788423693-ykZMf24WJAEZCYGEGVFa"
session_id(null)
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api_type"completions"
id"gen-1788423693-Aq9AiFNNm8hOrjOZjFn7"
upstream_id"resp_6a992e0f2722636ac1854ebe"
provider_responses
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endpoint_id"cf4f1b4e-1719-4b65-9111-7dd7635e5a2f"
id"resp_6a992e0f2722636ac1854ebe"
is_byokfalse
latency1315
model_permaslug"meta/muse-spark-1.3-20260902"
provider_name"Meta"
status200
total_cost0.017533
cache_discount(null)
upstream_inference_cost0
provider_name"Meta"
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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
totalTags8
adverbTagCount1
adverbTags
0"he said quietly [quietly]"
dialogueSentences20
tagDensity0.4
leniency0.8
rawRatio0.125
effectiveRatio0.1
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1534
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)
64.15% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1534
totalAiIsms11
found
0
word"weight"
count2
1
word"clandestine"
count1
2
word"efficient"
count1
3
word"warmth"
count1
4
word"glint"
count1
5
word"echoed"
count1
6
word"flickered"
count1
7
word"could feel"
count1
8
word"whisper"
count1
9
word"vibrated"
count1
highlights
0"weight"
1"clandestine"
2"efficient"
3"warmth"
4"glint"
5"echoed"
6"flickered"
7"could feel"
8"whisper"
9"vibrated"
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
narrationSentences121
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences121
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences133
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen45
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1534
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
90.34% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions52
wordCount1341
uniqueNames20
maxNameDensity1.19
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Camden2
High2
Street2
Quinn16
Met1
Herrera9
Seville-born1
Raven2
Nest2
Soho2
Ferrier1
Estate1
Morris2
Northern1
London2
Transport1
Saint1
Christopher1
Seville2
Vice1
persons
0"Quinn"
1"Met"
2"Herrera"
3"Raven"
4"Morris"
5"Transport"
6"Saint"
7"Christopher"
places
0"Camden"
1"High"
2"Street"
3"Seville-born"
4"Soho"
5"London"
6"Seville"
7"Vice"
globalScore0.903
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
totalMatches1
per1kWords0.652
wordCount1534
matches
0"not like sewers but like incense"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences133
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs44
mean34.86
std26.75
cv0.767
sampleLengths
072
165
277
386
425
514
65
730
861
92
1053
1155
1227
1316
143
1585
1622
1769
1814
1953
2013
2149
2237
239
2463
257
2622
2730
2831
292
3053
3113
3244
33108
3419
3537
3610
376
382
3944
4027
4152
4212
4310
99.46% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences121
matches
0"were soaked"
1"been pried"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs221
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences133
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1353
adjectiveStacks0
stackExamples(empty)
adverbCount25
adverbRatio0.018477457501847747
lyAdverbCount6
lyAdverbRatio0.004434589800443459
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences133
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences133
mean11.53
std9.2
cv0.797
sampleLengths
011
128
233
38
411
56
617
77
816
925
109
117
1212
1324
1442
1522
167
175
185
195
2025
215
229
235
244
2526
266
2720
2818
294
3010
313
322
3323
3413
3513
364
3730
386
3919
4012
4115
424
439
442
451
463
472
483
4941
57.14% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.38345864661654133
totalSentences133
uniqueOpeners51
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences110
matches(empty)
ratio0
74.55% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount40
totalSentences110
matches
0"It hammered the shuttered stalls"
1"She had been standing there"
2"Her trousers were soaked to"
3"She had watched him two"
4"She had watched him come"
5"She knew what that meant."
6"She was sure of it."
7"His head snapped up."
8"He didn't run like a"
9"He ran like a man"
10"Her sharp jaw set."
11"Her boots hit the wet"
12"Her breath burned."
13"He cut left through a"
14"She didn't break stride."
15"He vaulted a low barrier"
16"Her brown eyes watered from"
17"she shouted, using his first"
18"It was a mistake."
19"He glanced back, and something"
ratio0.364
37.27% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount93
totalSentences110
matches
0"The rain hit Camden High"
1"It hammered the shuttered stalls"
2"Harlow Quinn stood under the"
3"She had been standing there"
4"Military precision, her old sergeant"
5"Her trousers were soaked to"
6"The worn leather watch on"
7"The man who came out"
8"Olive skin gone pale under"
9"Quinn knew the face from"
10"Tomas Herrera, twenty-nine, Seville-born, former"
11"She had watched him two"
12"She had watched him come"
13"A hidden back room for"
14"She knew what that meant."
15"The clique used the place."
16"She was sure of it."
17"Quinn stepped out from cover."
18"The rain found her instantly,"
19"His head snapped up."
ratio0.845
90.91% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences110
matches
0"Now here he was in"
1"If she lost it tonight,"
ratio0.018
44.82% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences51
technicalSentenceCount7
matches
0"The man who came out of the rain at 23:43 was an inch taller than her own five-nine and moving fast with his head down."
1"Tomas Herrera, twenty-nine, Seville-born, former NHS paramedic struck off for administering unauthorized treatments to patients who, according to the reports, h…"
2"She had watched him come from behind the bookshelf, not the toilets, the bookshelf that didn't wobble right when the bass hit."
3"He ran like a man who carried weight for a living, efficient and low, bag strapped tight across his chest."
4"Quinn ran like a copper who had chased seventeen-year-olds over the Ferrier Estate and learned to love it."
5"Found in a service tunnel off the Northern line with his throat closed as if he had drowned on dry land and no water in his lungs and a look on his face Quinn s…"
6"Quinn heard a woman laughing, and something else beneath the music, a low hum that vibrated in her molars."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount1
fancyTags
0"she shouted (shout)"
dialogueSentences20
tagDensity0.35
leniency0.7
rawRatio0.143
effectiveRatio0.1
88.6214%