Run: 2026-07-25-01KYD684D624ZB1AWEBS97VG63

Run Details

Duration:
21.7s
Cost:
$0.012680
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 came down hard enough to bounce. Harlow Quinn stood under the awning of the closed newsagent opposite The Raven's Nest and watched the green neon sign stutter over the door. R-A-V-E-N, buzzing, hissing every time water hit the transformer. Through the rain-streaked window she could make out the walls inside, crowded with old maps curling at the edges and black-and-white photographs in cheap frames. Nineteen hundred hours and the place was half-empty, which was wrong for a Friday. She checked her watch without thinking about it. The worn leather band on her left wrist was dark with rain. 19:03. The door opened and light spilled out onto the wet pavement and a man stepped out, shoulders hunched against the weather. Short curly dark brown hair plastered flat. Olive skin gone pale under the streetlight. He wore a hooded parker but she saw the glint at his throat where the hood didn't quite close. Saint Christopher. Quinn pushed off the wall. He saw her. Or felt her. It didn't matter. His head came up and his warm brown eyes found her across the narrow Soho street and went wide. For half a second he froze. Then he ran. "Tomás Herrera!" Her voice cut through the rain. "Stop. Police." He didn't stop. He cut left, into Greek Street, sneakers slapping through puddles. Quinn went after him, her boots finding purchase on the slick cobbles. Eighteen years and her body knew the rhythm even before her brain caught up — breathe, drive, arms tight. She had a military precision to her movement that made civilians stare, all economy, no waste. He was fast. Twenty-nine, fast-twitch, scared. She was forty-one and angry, which was faster. "Tomás!" He vaulted a stack of milk crates outside a restaurant kitchen and kept going. Quinn went through them, crates clattering, the kitchen porter shouting after her. Rain hammered the bins and the fire escapes and turned the whole street into a mirror of neon and brake light. She'd been watching him for three weeks. Off-the-books medical care for the clique that ran out of Silas' bar. Kids coming in bleeding wrong, wounds that didn't match any knife she knew, then walking out a day later with Herrera's work stitched into them. It was Dickensian and it was criminal and she knew, with a certainty that lived in her gut, that it connected back to the same rot that had taken DS Morris three years ago in a flat that smelled of ozone and copper where there should have been no blood at all. The case file had said cardiac event. She had never believed it. Herrera cut up toward Oxford Street, then hooked north when she got too close. He glanced back and Quinn saw his left forearm as his sleeve rode up, the thick rope of a scar white against his skin from a knife attack that should have ended his NHS career a lot earlier than the official paperwork said. He wasn't running like a dealer. He was running like a man who knew what happened if he got caught in the wrong place. They hit the edge of Camden and the streets changed, narrower, the rain pooling deep in potholes. The crowds thinned. Music thumped out of a basement club and then was gone. Herrera was breathing hard now, loud enough she could hear it over the rain. He ducked into an alley that ended in a chainlink fence around a condemned Tube entrance. Decommissioned. Tiled over in the seventies, then left to rot when the line was rerouted. There was a sign riveted to the gate: KEEP OUT. DANGER. The gate had been cut. Herrera didn't slow. He hit the fence at a dead run, scrambled up, dropped to the other side. Quinn reached the gate three seconds later. Her cropped salt-and-pepper hair was dripping into her brown eyes. Water ran down her sharp jaw and into her collar. She grabbed the fence. The metal was cold and slick. Down in the dark, beyond the gate, she could hear him. Not just running. Footsteps on tile. And voices. No. One voice, chanting low. And a smell, rising up out of the stairwell despite the rain — incense, and something chemical, sweet and wrong, like burnt sugar and formaldehyde. She knew this address. Not officially. Officially this station didn't exist anymore. But the intel chatter from the last six months had a name for it, whispered by informants who wouldn't say it twice. The Veil Market. A hidden black market that sold things that shouldn't be for sale. Enchanted goods, banned alchemical substances, information that got people killed. The kind of place that required a price just to get in. Quinn had pulled a kid out of a squat last month who'd tried to rob it — he kept saying bone token, over and over, holding out his empty hand, bone token, they wouldn't let me in, bone token. It moved every full moon. Tonight was full moon. Herrera was heading straight for it. Quinn's hand went to her radio, then stopped. If she called it in, they'd send uniforms, they'd light the whole thing up, and by the time anyone got here it would be gone. The market, Herrera, all of it sucked back into the cracks of London. Just like Morris's scene. All that ozone and not one piece of forensic evidence that made sense. If she went down there, she went without backup. Into an abandoned station under Camden with no line of sight and no warrant and a suspect who knew the ground better than she did. Potentially dangerous was a polite way to put it. The file on Morris said potentially dangerous right up until the end where it said deceased. Rain drummed on her shoulders. Water slipped past her collar. Below, Herrera's footsteps stopped. Quinn leaned in, breath held. She could hear it now, clearer. A murmur of a crowd underground, deep enough that it vibrated through the fence. The low hiss of something frying. Someone laughing, too sharp. Then Herrera's voice, strained. "Please. I have to— I have the token, let me in." Another voice, lower, amused. "Rules are rules, little doctor. Market's almost closed. Not our fault your friends bleed so much." "You owe me," Herrera said. "You owe me for last time." Quinn made her decision the way she always made them. She didn't think after. She thought before, then moved. She climbed. The fence flexed under her weight, then she was over, dropping the six feet to cracked concrete, her ankle twinging. She kept her hand off her baton. She kept her hand near it. The stairs down were black. Rain had made them slime-slick, moss growing between the tiles. The original roundels were still on the wall, faded red and blue, ghosted over with graffiti in a language she didn't recognize. The air got warmer as she descended. Wetter, but warmer, like breath. At the bottom, the old ticket hall opened up and it was not abandoned. Lanterns hung from the ceiling that had no business burning that bright. No wires. Stalls made of scaffold and tarps and old luggage carts had been jammed into the space where the gates used to be, spilling down onto the platform level. The walls covered in maps — not Tube maps, older, coastlines that didn't match. She saw a jar full of something that pulsed. A table covered in vials of black powder and silver liquid. A woman selling teeth strung on wire. It was loud. Too loud for how deep they were. In the middle of it, Herrera stood in front of a man in a waxed coat who was holding out a palm. On the palm sat a small white chip. Bone. Detective Harlow Quinn stepped into the light, water still dripping from her tightly cut hair, her boots leaving wet prints on tile that hadn't seen rain in fifty years, and she said, "Tomás Herrera, I'm arresting you on suspicion of practicing medicine without a license and conspiracy." Twenty heads turned. Not all of them human enough to parse. Herrera spun. His face was white. Rain still glittered on his Saint Christopher medallion. "Detective — you can't be here. You have to leave. Now." The man with the bone token smiled at Quinn. His teeth were filed. "Officer. We don't get many of your lot. Did you bring a token?" Quinn looked at the token. At Herrera's scarred arm. At the tunnel mouth behind the stalls where the tracks used to run, now lit with green from somewhere deeper, and she felt the old cold case file open again in her chest, Morris on the floor and that unexplainable smell in the air, and she knew if she walked out now she'd never see this door again. She put her hand on her cuffs and stepped forward, deeper into the Market.
created_at"2026-07-25T17:47:57.232Z" 7/25/2026, 5:47:57 PM
model"meta/muse-spark-1.1-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency6127
moderation_latency(null)
generation_time21567
tokens_prompt888
tokens_completion2128
native_tokens_prompt957
native_tokens_completion2702
native_tokens_completion_images0
native_tokens_reasoning812
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"
usage0.01267975
router(null)
provider_responses
0
endpoint_id"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id"resp_6a64f6cd74d4b9cf34a64f9f"
is_byokfalse
latency275
model_permaslug"meta/muse-spark-1.1-20260709"
provider_name"Meta"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1785001677-cWhZ9um3zTdG2m72c8EH"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785001677-JjO6bDgpVgdBj3ndwsUG"
upstream_id"resp_6a64f6cd74d4b9cf34a64f9f"
total_cost0.01267975
cache_discount(null)
upstream_inference_cost0
provider_name"Meta"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences10
tagDensity0.2
leniency0.4
rawRatio0
effectiveRatio0
96.63% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1484
totalAiIsmAdverbs1
found
0
adverb"tightly"
count1
highlights
0"tightly"
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)
79.78% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1484
totalAiIsms6
found
0
word"glint"
count1
1
word"footsteps"
count2
2
word"vibrated"
count1
3
word"weight"
count1
4
word"pulsed"
count1
highlights
0"glint"
1"footsteps"
2"vibrated"
3"weight"
4"pulsed"
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
narrationSentences135
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences135
filterMatches
0"watch"
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences142
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen58
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1489
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions59
wordCount1407
uniqueNames22
maxNameDensity0.92
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Herrera"
discoveredNames
Quinn13
Raven1
Nest1
Friday1
Christopher2
Soho1
Greek1
Street2
Kids1
Herrera12
Dickensian1
Morris4
Oxford1
Camden2
Tube2
Veil1
Market2
London1
Harlow2
Twenty2
Saint2
Rain4
persons
0"Quinn"
1"Raven"
2"Christopher"
3"Kids"
4"Herrera"
5"Morris"
6"Tube"
7"Harlow"
8"Twenty"
9"Saint"
10"Rain"
places
0"Soho"
1"Greek"
2"Street"
3"Oxford"
4"Market"
5"London"
globalScore1
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences85
glossingSentenceCount1
matches
0"quite close"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1489
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences142
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs50
mean29.78
std23.78
cv0.798
sampleLengths
08
172
221
354
42
55
637
710
83
957
1014
111
1247
1396
1412
1557
1624
1745
1847
1918
2037
2119
2230
2334
243
2573
269
276
2863
2959
3010
314
3235
3315
3420
3511
3619
372
3833
3949
4014
4183
4210
4331
4447
4511
4625
4726
4867
4914
92.27% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences135
matches
0"got caught"
1"was gone"
2"was rerouted"
3"been jammed"
4"were filed"
63.95% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs245
matches
0"was running"
1"was breathing"
2"was dripping"
3"was heading"
4"was holding"
62.37% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences4
totalSentences142
ratio0.028
matches
0"Eighteen years and her body knew the rhythm even before her brain caught up — breathe, drive, arms tight."
1"And a smell, rising up out of the stairwell despite the rain — incense, and something chemical, sweet and wrong, like burnt sugar and formaldehyde."
2"Quinn had pulled a kid out of a squat last month who'd tried to rob it — he kept saying bone token, over and over, holding out his empty hand, bone token, they wouldn't let me in, bone token."
3"The walls covered in maps — not Tube maps, older, coastlines that didn't match."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount411
adjectiveStacks0
stackExamples(empty)
adverbCount7
adverbRatio0.0170316301703163
lyAdverbCount1
lyAdverbRatio0.0024330900243309003
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences142
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences142
mean10.49
std9.62
cv0.917
sampleLengths
08
124
29
325
414
58
612
71
821
97
107
1119
122
135
143
153
163
1719
186
193
208
212
223
2310
2412
2519
2616
273
283
298
301
3114
3212
3321
347
3512
3625
3752
387
395
4014
4143
426
4318
4417
453
4611
4714
4816
491
67.85% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.45390070921985815
totalSentences141
uniqueOpeners64
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount7
totalSentences123
matches
0"Then he ran."
1"Officially this station didn't exist"
2"Just like Morris's scene."
3"All that ozone and not"
4"Potentially dangerous was a polite"
5"Then Herrera's voice, strained."
6"Too loud for how deep"
ratio0.057
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount35
totalSentences123
matches
0"She checked her watch without"
1"He wore a hooded parker"
2"He saw her."
3"It didn't matter."
4"His head came up and"
5"Her voice cut through the"
6"He didn't stop."
7"He cut left, into Greek"
8"She had a military precision"
9"He was fast."
10"She was forty-one and angry,"
11"He vaulted a stack of"
12"She'd been watching him for"
13"It was Dickensian and it"
14"She had never believed it."
15"He glanced back and Quinn"
16"He wasn't running like a"
17"He was running like a"
18"They hit the edge of"
19"He ducked into an alley"
ratio0.285
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount86
totalSentences123
matches
0"The rain came down hard"
1"Harlow Quinn stood under the"
2"R-A-V-E-N, buzzing, hissing every time"
3"She checked her watch without"
4"The worn leather band on"
5"The door opened and light"
6"Olive skin gone pale under"
7"He wore a hooded parker"
8"Quinn pushed off the wall."
9"He saw her."
10"It didn't matter."
11"His head came up and"
12"Her voice cut through the"
13"He didn't stop."
14"He cut left, into Greek"
15"Quinn went after him, her"
16"She had a military precision"
17"He was fast."
18"She was forty-one and angry,"
19"He vaulted a stack of"
ratio0.699
81.30% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences123
matches
0"If she called it in,"
1"If she went down there,"
ratio0.016
61.99% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences53
technicalSentenceCount6
matches
0"She had a military precision to her movement that made civilians stare, all economy, no waste."
1"Kids coming in bleeding wrong, wounds that didn't match any knife she knew, then walking out a day later with Herrera's work stitched into them."
2"It was Dickensian and it was criminal and she knew, with a certainty that lived in her gut, that it connected back to the same rot that had taken DS Morris thre…"
3"He glanced back and Quinn saw his left forearm as his sleeve rode up, the thick rope of a scar white against his skin from a knife attack that should have ended…"
4"Enchanted goods, banned alchemical substances, information that got people killed."
5"Quinn had pulled a kid out of a squat last month who'd tried to rob it — he kept saying bone token, over and over, holding out his empty hand, bone token, they …"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences10
tagDensity0.1
leniency0.2
rawRatio0
effectiveRatio0
92.9827%