Run: 2026-09-03-01M1KREQMPVS23JMC7QGNBTAF1

Run Details

Duration:
16.6s
Cost:
$0.002794
Provider:
DeepInfra

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
Rain hammered the Soho pavements in sheets, turning the streetlights into smeared halos. Detective Harlow Quinn kept her collar up and her shoulders low, the worn leather watch on her left wrist catching a flash of neon every time she checked it. 02:17. The green sign above The Raven’s Nest was bleeding light through the rain, RAVEN in cracked script, the distinctive green neon stuttering against the black-and-white photographs taped to the pub’s brick. She had watched him come out twenty minutes earlier. Tomás Herrera, short curly dark brown hair plastered to his forehead, olive skin gray in the wet. He wore a coat too thin for the weather and the Saint Christopher medallion at his throat caught the light when he turned his head. The scar running along his left forearm showed white under his sleeve when he fished for his phone. Quinn had been sitting three tables back in the Nest for an hour, nursing water, the old maps on the walls watching her. She knew about the hidden back room behind the bookshelf, knew it was used for clandestine meetings. She had seen enough in eighteen years of decorated service to recognize the way the regulars didn’t look at him, the way the door didn’t open for him. Off-the-books medical care for the clique. That was what the file said. Former paramedic, lost his license after unauthorized treatments to supernatural patients. Born in Seville, now running needles for people who didn’t want to be on any register. He was her link. She didn’t move until he slipped out the side door onto Frith Street. Then she was behind him, military precision in every step, keeping three bodies between them. He was fast for a man who worked with his hands. He cut through a service alley behind a curry house, ducked under a fire escape, and vanished into a crowd spilling from a club. Quinn lost him for six seconds that felt like sixty. Then she saw the medallion, a thin glint at the throat of a man in the crowd, and she found him again. He was heading north. They left Soho behind and the rain got worse. Camden was a different kind of wet, the canals reflecting the city in broken glass, the market stalls shuttered and slick. Tomás moved with purpose, not panic. He didn’t look back. He knew he was being followed, or he was good at pretending he didn’t care. Quinn matched his pace, staying on the edge of his peripheral vision. Her sharp jaw was set against the cold. Her closely cropped salt-and-pepper hair was damp at the temples. Forty-one years old and she still felt the old pull of a chase, the clean line of it. Three years since Morris had gone down under unexplained circumstances. Three years since she had started noticing the gaps in reports, the way certain cases were closed without being solved. She didn’t know the words for what she was hunting yet, but she knew the shape of it. Tomás stopped at a graffiti-tagged wall near the old Camden Town station entrance. He pressed his palm to a brick, and a section of it gave. A door. No, a hatch. Cold air sighed out of it, smelling of iron and damp earth and something sweet and wrong, like rot covered with perfume. He didn’t hesitate. He went down. Quinn’s boots hit the pavement hard enough to splash. She could go back to the car, call it in, wait for backup. Standard procedure. The watch on her left wrist was still ticking. 02:29. The street above was empty except for a drunk arguing with a taxi and the rain. Below, the hatch stood open, a black mouth in the brickwork. The Veil Market. She had heard the name in whispers, in the file she wasn’t supposed to have. An abandoned Tube station beneath Camden. Moved locations every full moon. Entry requirement a bone token. She had no token. She had a warrant in her pocket and a service weapon and eighteen years of knowing when to follow. The air coming up smelled of ozone and blood. She thought of Morris. The way his radio had cut out. The way the scene had been cleaned before the scene of crime officers arrived. The way the report had said cardiac arrest and left it at that. Tomás’s silhouette was already descending, coat flaring, the medallion disappearing into dark. Quinn took the steps. The concrete throat narrowed quickly. The rain faded to a distant patter. The walls were slick with condensation and old paint. She kept her hand near her sidearm, not drawing it. No light except the faint glow from below, a sickly amber that pulsed like a heartbeat. The tunnel opened into a vaulted platform. An abandoned Tube station, exactly as described. Tracks were gone, replaced by stalls under low-hanging bulbs. The air was thick with bodies. Humans and things that weren’t quite human. Traders called out in languages she didn’t know. A woman with eyes like chipped glass was haggling over a vial of something that moved on its own. A man in a butcher’s apron displayed teeth arranged on velvet. And Tomás was there, moving between the stalls with the ease of a regular. He stopped at a table where a woman in a long coat waited. She handed him a small leather pouch. He gave her something in return, a bone token, white and polished, catching the light. Quinn froze at the top of the stairwell. She was exposed. Anyone here would see her first. She had no bone token. The market had rules. Entry requirement. She could see why they moved locations every full moon; the city above would never find this twice. Her radio was dead down here. No signal. Tomás looked up. He saw her. Their eyes met across the market. Warm brown to brown. He didn’t run. He didn’t signal. He just stood there with the medallion at his throat, the scar on his forearm visible where his sleeve had ridden up, and he waited. A figure stepped in front of her, blocking the stairwell. Tall, broad, face half-shadowed by a hood. A guard. The market guard. He didn’t speak. He just looked down at her, then down at the empty space in her hand where a token should be. Quinn’s military precision warred with the instinct that had kept her alive since Morris died. She could turn back now, climb out, call this in, let the Met come with vans and dogs and make a spectacle of a place that would be gone by next week. Or she could step down into the unfamiliar and potentially dangerous territory, into a world that sold enchanted goods and banned alchemical substances and information, and try to get the one man who treated the people she needed to find. The rain drummed above, far away. She loosened the leather strap of her watch, felt the weight of it on her left wrist, and took one step down. The guard didn’t move. The market breathed around her. Tomás didn’t smile. He just nodded, almost imperceptibly, as if she had finally passed a test she hadn’t known she was taking. The amber light pulsed.
created_at"2026-09-03T13:48:39.966Z" 9/3/2026, 1:48:39 PM
model"meta/muse-glimmer-30b-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency155
moderation_latency(null)
generation_time16583
tokens_prompt888
tokens_completion2500
native_tokens_prompt830
native_tokens_completion2121
native_tokens_completion_images(null)
native_tokens_reasoning773
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)
usage0.0027942
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443319-q5UC7azrGc7K5SIgorcE"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443319-3hNuEGW9iYxezzTZg4DI"
upstream_id"chatcmpl-RI7yDagMjCuYEbyp5QL8Thqm"
provider_responses
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id"chatcmpl-RI7yDagMjCuYEbyp5QL8Thqm"
is_byokfalse
latency59
model_permaslug"meta/muse-glimmer-30b-20260810"
provider_name"DeepInfra"
status200
total_cost0.0027942
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"
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
totalTags0
95.87% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1210
totalAiIsmAdverbs1
found
0
adverb"quickly"
count1
highlights
0"quickly"
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)
71.07% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1210
totalAiIsms7
found
0
word"clandestine"
count1
1
word"glint"
count1
2
word"standard"
count1
3
word"pulsed"
count2
4
word"velvet"
count1
5
word"weight"
count1
highlights
0"clandestine"
1"glint"
2"standard"
3"pulsed"
4"velvet"
5"weight"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"air was thick with"
count1
highlights
0"The air was thick with"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences112
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences112
filterMatches
0"watch"
hedgeMatches
0"try to"
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
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1210
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions39
wordCount1210
uniqueNames19
maxNameDensity0.66
worstName"Quinn"
maxWindowNameDensity1
worstWindowName"Quinn"
discoveredNames
Soho2
Harlow1
Quinn8
Raven1
Nest2
Herrera1
Saint1
Christopher1
Seville1
Frith1
Street1
Morris3
Camden3
Town1
Veil1
Market1
Tube2
Tomás7
Met1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Herrera"
4"Saint"
5"Christopher"
6"Morris"
7"Market"
8"Tomás"
9"Met"
places
0"Soho"
1"Nest"
2"Seville"
3"Frith"
4"Street"
5"Camden"
6"Town"
globalScore1
windowScore1
85.90% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences78
glossingSentenceCount2
matches
0"felt like sixty"
1"quite human"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1210
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences112
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs27
mean44.81
std30.48
cv0.68
sampleLengths
074
169
2107
34
463
532
64
755
896
953
106
1134
1284
1347
1412
154
1647
1774
1849
1946
208
2147
2245
2387
246
2553
264
89.60% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences112
matches
0"was used"
1"being followed"
2"being solved"
3"been cleaned"
4"were gone"
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount7
totalVerbs200
matches
0"was bleeding"
1"was heading"
2"was hunting"
3"was still ticking"
4"was already descending"
5"was haggling"
6"was taking"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences112
ratio0.009
matches
0"She could see why they moved locations every full moon; the city above would never find this twice."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1220
adjectiveStacks0
stackExamples(empty)
adverbCount28
adverbRatio0.022950819672131147
lyAdverbCount8
lyAdverbRatio0.006557377049180328
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
mean10.8
std7.75
cv0.717
sampleLengths
013
129
21
331
49
517
625
718
823
917
1028
116
126
1311
1416
154
1613
1715
1811
1924
2010
2122
224
239
2421
256
264
2715
2812
298
3010
3118
3210
3320
3418
3513
3613
372
383
3922
403
413
429
4313
442
459
461
4716
4811
493
36.06% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats17
diversityRatio0.3090909090909091
totalSentences110
uniqueOpeners34
63.49% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences105
matches
0"Then she was behind him,"
1"Then she saw the medallion,"
ratio0.019
63.81% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount41
totalSentences105
matches
0"She had watched him come"
1"He wore a coat too"
2"She knew about the hidden"
3"She had seen enough in"
4"He was her link."
5"She didn’t move until he"
6"He was fast for a"
7"He cut through a service"
8"He was heading north."
9"They left Soho behind and"
10"He didn’t look back."
11"He knew he was being"
12"Her sharp jaw was set"
13"Her closely cropped salt-and-pepper hair"
14"She didn’t know the words"
15"He pressed his palm to"
16"He didn’t hesitate."
17"He went down."
18"She could go back to"
19"She had heard the name"
ratio0.39
45.71% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount87
totalSentences105
matches
0"Detective Harlow Quinn kept her"
1"The green sign above The"
2"She had watched him come"
3"Tomás Herrera, short curly dark"
4"He wore a coat too"
5"The scar running along his"
6"Quinn had been sitting three"
7"She knew about the hidden"
8"She had seen enough in"
9"That was what the file"
10"He was her link."
11"She didn’t move until he"
12"He was fast for a"
13"He cut through a service"
14"Quinn lost him for six"
15"He was heading north."
16"They left Soho behind and"
17"Camden was a different kind"
18"Tomás moved with purpose, not"
19"He didn’t look back."
ratio0.829
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences105
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences53
technicalSentenceCount1
matches
0"Or she could step down into the unfamiliar and potentially dangerous territory, into a world that sold enchanted goods and banned alchemical substances and info…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
85.0505%