Run: 2026-10-20-01M5C6GX64181QDM3RNP7RC8XG

Run Details

Duration:
37.7s
Cost:
$0.001978
Provider:
InferenceNet

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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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 stairs down to the disused platform smelled of wet flint and the ghost of cigarettes from another decade. Detective Harlow Quinn counted them as she descended — forty-two, same as the station’s age — one hand on the black iron rail, her other resting flat against the tiled wall where a century’s worth of grime had been smeared into something like grease. The tiles were a sickly cream below and a dusted oxblood above. Somewhere ahead, a scene-of-crime lamp threw a hard white triangle up the far wall, and the shadows it made went on and on into the tunnel mouth. ‘Ma’am.’ A constable met her on the last landing, young enough that the stab vest looked like it belonged to an older brother. ‘PC Ferris. We’ve kept it tight. No one’s touched anything except to confirm.’ ‘Confirm what?’ ‘He’s dead, ma’am.’ Quinn stepped past him onto the platform. The ceiling pressed low. A dead train line ran like a scar along the far edge, and beyond it the dark went soft and total. The air was cold in a way that had nothing to do with the weather above ground — a cellar cold, a stone cold that got into the lungs. The body lay on its back between two pillars, arms folded neatly across the chest, shoes side by side like a man laid out by an undertaker. Late fifties, grey stubble, a good coat gone shiny at the cuffs. His mouth was open. There was a froth at the corner of it that had dried to something that wasn’t quite spit. ‘Who found him?’ ‘Cleaner, ma’am. Comes in Mondays to run the maintenance lights. Called it in at twenty past six. He’s upstairs with Wills, shaking like a dog.’ Quinn crouched. Not close — she had learned the worth of patience. She looked first at what wasn’t there. No blood. No scuffing on the tiles. No dropped bag, no spilled drink, no bottle. A man of his age and coat dying in a place like this should have brought some mess with him — belongings, litter, the usual archaeology of an end. The floor around him was clean, and not clean in the way of a swept floor. Clean in the way of a page. ‘Time of death?’ ‘Coroner’s provisional is between two and four this morning. It’s in the log.’ ‘And the entrance?’ ‘Boarded at street level. We came in through the maintenance door on the east stair. Only one key, signed out to the cleaner. No sign of force.’ She let her eyes travel up the wall behind the body. The tiles there had been marked — chalk, or something like chalk, a pale grey circle about a metre across, and inside it, faint now, a spiral. Someone had scrubbed at it and done a poor job, or the damp had eaten it. ‘That was there before us,’ Ferris said, too quickly. ‘I didn’t ask.’ ‘No, ma’am, but — Mr Wills said to mention it. Said it looked like kids. There’s kids come down here sometimes, for the — you know. The stories.’ He said stories the way a man says a word he doesn’t want in his mouth. Quinn stood. Her knees complained. ‘Where’s the doctor?’ And then she heard it — the small particular sound of a book being closed. She turned. Eva Kowalski had come up the east stair without being heard, which was a trick she seemed to manage by being small and apologetic and wearing rubber-soled boots that looked like they had been rescued from a skip. Curly red hair in a fugitive cloud around her face. Round glasses with a thumbprint on one lens. She had her satchel strap across her chest like a bandolier and was already tucking a strand of hair behind her left ear, which she did when she was deciding whether to be honest. ‘Miss Kowalski,’ Quinn said. ‘Detective.’ ‘You’re a long way from the archives.’ ‘I was called.’ Eva looked past her at the body, and something in her face folded — not fright, exactly. Recognition. ‘By the cleaner. Mr Adeyemi. He’s a friend of a friend of mine. He knew I — he knew I’d know what some of this was.’ ‘And what is some of this?’ Eva came forward, skirting the SOCO tape, and crouched where Quinn had crouched, her satchel swinging against her hip. She didn’t touch. She pointed. ‘The coin in his hand. Do you see it?’ Quinn looked. She had seen it — a flat disc, dull as old pewter, lying in the cup of the dead man’s palm, half-hidden by the fold of his fingers. She had put it down as a coin, and a coin was a thing a man might carry. But it was too large for a pound, and it had a hole bored through the centre, and the edge was notched like a gear. ‘It’s a token,’ Eva said. ‘Bone. You need one to get into the Market. They give you a token at the door and you give it back when you leave, and if you don’t give it back, they find you. That’s the — that’s the rule. He didn’t give it back.’ ‘The Market.’ ‘It was here,’ Eva said, and gestured at the platform, the pillars, the black mouth of the tunnel. ‘Last week. Every full moon it moves on. Tonight’s the full moon, Detective. Which means the night before the move — that’s when they close the doors and count the stock and settle the debts. Last night. He was here last night, and he was here this morning, and nobody came to fetch him. That isn’t a mugging. Nobody mugs a man and then folds his hands and leaves his token in his palm. That’s a placing. That’s someone saying: he owed, and he paid, and here he lies for the Market to find. So it’s — I know how it sounds. But it’s a settling of accounts. It’s their law, not ours.’ Ferris had gone very still. Quinn watched the dust in the lamp-light instead. ‘How does a man die of a settling of accounts,’ she said, ‘with no wound on him?’ ‘There are ways.’ ‘There are always ways. I’ve heard them.’ She said it flatly, and Eva had the grace to look down. ‘Thank you, Miss Kowalski. PC Ferris, I’d like the platform photographed from the east stair — the whole run, not just the immediate scene. And I’d like the maintenance log.’ ‘Ma’am.’ Eva got to her feet, brushed her knees, and hovered, plainly wanting to say something else and equally plainly deciding she shouldn’t. She tucked her hair again. ‘I’m not a suspect, am I,’ she said. It was not quite a question. ‘Should you be?’ ‘No. I — no. I was at home. I have a kettle that proves it and a neighbour who’ll vouch for the kettle.’ ‘Then we’ll speak later.’ She went, up the east stair, her boots making no sound at all, and Quinn disliked that more than she wanted to. She walked the platform from the far end back, slowly, hands behind her back, the way she had walked the parade ground at Bishopsgarth when she was nineteen and everything had rules and the rules had reasons. Two and four, the coroner said. The cleaner signed in at ten past six. In between — three hours of a dead man in the dark. She stopped. The dust. The platform was a single skin of it, grey and even, laid down over years. Along the east stair the SOCOs had left their prints, and she had left hers, and Ferris had left his, and behind the body there was a single trail of prints coming in from the tunnel — not from the stair. She knelt and put her torch low. Small prints. Wide. Not boots — a soft sole, a wrap of some kind, or a foot that had been wrapped. They came out of the tunnel, they crossed to where the body lay, and they stopped at the chalk circle. There were no prints leaving. Above her, the lamp hummed. The tunnel breathed its cold. She looked again at the dead man’s shoes. Black, polished, dry as a bone. And then she thought of the east stair, which she had come down with one hand on the wall because the iron was wet — forty-two steps of wet, and a landing, and a maintenance door that let in the Camden rain. His shoes were dry. He had not walked down that stair. He had not walked down any stair. She stood, and took from her coat pocket the small brass compass she had bought — she would not say from whom, she would not say for how much — and held it flat on her palm. The verdigris had worn into the sigils so that they looked less like marks than like scars. The needle was twitching. It had twitched in her hand since she came down the stair, and she had told herself it was the lamp, or the train line, or the nearness of all that buried metal. Now it went still, and pointed, and it did not point along the platform. It did not point to the stair. It pointed down, at the tiles beneath her boots, and it stayed there, steady as a held breath, and the hair went up on her arms because the last time a needle had done that she had been standing over a man in a car park in Peckham, and his shoes had been dry too. She closed her fist over it. ‘Ferris.’ ‘Ma’am?’ ‘Find out who owns the land above this platform. All of it. And bring me the cleaner again — not to shake. To answer.’ She looked at the small prints, and the wall, and the chalk spiral that someone had tried and failed to scrub out. ‘And get the tiles up.’ ‘The — ma’am?’ ‘The floor. I want the floor up.’ She put the compass back in her pocket and felt it turn over there, gently, like something alive. ‘Something’s under it. Something walked out of that tunnel and went down, and I don’t intend to spend three years wondering what.’
created_at"2026-10-20T08:23:23.082Z" 10/20/2026, 8:23:23 AM
model"deepseek/deepseek-v4.1-flash-20261017"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency135
moderation_latency(null)
generation_time37641
tokens_prompt896
tokens_completion4343
native_tokens_prompt858
native_tokens_completion3929
native_tokens_completion_images(null)
native_tokens_reasoning1704
native_tokens_cached768
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)
usage0.001977844
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1792484603-gJO8J6Zq4RxGaPGY4dCf"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1792484603-MyXHhlHVs8pOa7EqwWIN"
upstream_id"gv2_rHzxkXpIGvn9IKAHL5qDe"
provider_responses
0
endpoint_id"4231aea9-73af-4a2f-bd14-660b1d8b13b2"
id"gv2_rHzxkXpIGvn9IKAHL5qDe"
is_byokfalse
latency135
model_permaslug"deepseek/deepseek-v4.1-flash-20261017"
provider_name"InferenceNet"
status200
total_cost0.001977844
cache_discount0.000055296
upstream_inference_cost0
provider_name"InferenceNet"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
88.89% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags9
adverbTagCount1
adverbTags
0"Wills shaking like [like]"
dialogueSentences0
tagDensity1
leniency1
rawRatio0.111
effectiveRatio0.111
88.18% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1692
totalAiIsmAdverbs4
found
0
adverb"quickly"
count1
1
adverb"very"
count1
2
adverb"slowly"
count1
3
adverb"gently"
count1
highlights
0"quickly"
1"very"
2"slowly"
3"gently"
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)
100.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1692
totalAiIsms0
found(empty)
highlights(empty)
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
narrationSentences119
matches(empty)
82.83% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount2
narrationSentences119
filterMatches
0"know"
1"see"
hedgeMatches
0"seemed to"
1"tend to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences161
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen55
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1717
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions19
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount1412
uniqueNames13
maxNameDensity0.57
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn8
Mondays1
Wills1
Kowalski1
Adeyemi1
Eva3
Market2
Detective2
Ferris3
Bishopsgarth1
Camden1
Peckham1
persons
0"Harlow"
1"Quinn"
2"Wills"
3"Kowalski"
4"Adeyemi"
5"Eva"
6"Ferris"
places
0"Mondays"
1"Market"
2"Bishopsgarth"
3"Camden"
4"Peckham"
globalScore1
windowScore1
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences76
glossingSentenceCount5
matches
0"something like grease"
1"quite spit"
2"something like chalk, a pale grey circle abo"
3"looked like they had been rescued from a"
4"not quite a question"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1717
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences161
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs55
mean31.22
std33.46
cv1.072
sampleLengths
0102
136
22
33
461
561
63
725
886
93
1013
113
1227
1354
149
153
1644
178
1817
1990
204
211
227
2347
246
2524
269
2773
2851
292
30131
3113
3217
333
3449
351
3627
3714
383
3923
404
4122
4263
432
44111
4510
4674
4791
4876
496
90.52% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences119
matches
0"been smeared"
1"been marked "
2"being heard"
3"been rescued"
4"was notched"
5"been wrapped"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs239
matches
0"was already tucking"
1"was deciding"
2"was twitching"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount22
semicolonCount0
flaggedSentences20
totalSentences161
ratio0.124
matches
0"Detective Harlow Quinn counted them as she descended — forty-two, same as the station’s age — one hand on the black iron rail, her other resting flat against the tiled wall where a century’s worth of grime had been smeared into something like grease."
1"The air was cold in a way that had nothing to do with the weather above ground — a cellar cold, a stone cold that got into the lungs."
2"Not close — she had learned the worth of patience."
3"A man of his age and coat dying in a place like this should have brought some mess with him — belongings, litter, the usual archaeology of an end."
4"The tiles there had been marked — chalk, or something like chalk, a pale grey circle about a metre across, and inside it, faint now, a spiral."
5"There’s kids come down here sometimes, for the — you know."
6"And then she heard it — the small particular sound of a book being closed."
7"He knew I — he knew I’d know what some of this was.’"
8"She had seen it — a flat disc, dull as old pewter, lying in the cup of the dead man’s palm, half-hidden by the fold of his fingers."
9"That’s the — that’s the rule."
10"Which means the night before the move — that’s when they close the doors and count the stock and settle the debts."
11"So it’s — I know how it sounds."
12"PC Ferris, I’d like the platform photographed from the east stair — the whole run, not just the immediate scene."
13"I — no."
14"In between — three hours of a dead man in the dark."
15"Along the east stair the SOCOs had left their prints, and she had left hers, and Ferris had left his, and behind the body there was a single trail of prints coming in from the tunnel — not from the stair."
16"Not boots — a soft sole, a wrap of some kind, or a foot that had been wrapped."
17"And then she thought of the east stair, which she had come down with one hand on the wall because the iron was wet — forty-two steps of wet, and a landing, and a maintenance door that let in the Camden rain."
18"She stood, and took from her coat pocket the small brass compass she had bought — she would not say from whom, she would not say for how much — and held it flat on her palm."
19"And bring me the cleaner again — not to shake."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount103
adjectiveStacks0
stackExamples(empty)
adverbCount2
adverbRatio0.019417475728155338
lyAdverbCount1
lyAdverbRatio0.009708737864077669
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences161
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences161
mean10.66
std10.25
cv0.961
sampleLengths
019
144
212
327
423
52
64
77
82
93
107
114
1221
1329
1427
1512
164
1718
183
192
208
217
228
232
2410
257
262
275
288
2929
3016
317
323
339
344
353
364
3711
388
394
4011
4127
4216
439
443
4510
465
4711
4818
492
59.83% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats17
diversityRatio0.422360248447205
totalSentences161
uniqueOpeners68
64.72% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences103
matches
0"Somewhere ahead, a scene-of-crime lamp"
1"Only one key, signed out"
ratio0.019
72.43% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount38
totalSentences103
matches
0"We’ve kept it tight."
1"His mouth was open."
2"He’s upstairs with Wills, shaking"
3"She looked first at what"
4"It’s in the"
5"We came in through the"
6"She let her eyes travel"
7"Her knees complained."
8"She had her satchel strap"
9"He’s a friend of a"
10"He knew I — he"
11"She didn’t touch."
12"She had seen it —"
13"She had put it down"
14"You need one to get"
15"They give you a token"
16"He didn’t give it"
17"He was here last night,"
18"It’s their law, not"
19"She tucked her hair again."
ratio0.369
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount69
totalSentences103
matches
0"The stairs down to the"
1"Detective Harlow Quinn counted them"
2"The tiles were a sickly"
3"We’ve kept it tight."
4"Quinn stepped past him onto"
5"The ceiling pressed low."
6"A dead train line ran"
7"The air was cold in"
8"The body lay on its"
9"His mouth was open."
10"He’s upstairs with Wills, shaking"
11"She looked first at what"
12"A man of his age"
13"The floor around him was"
14"It’s in the"
15"We came in through the"
16"She let her eyes travel"
17"The tiles there had been"
18"Someone had scrubbed at it"
19"Her knees complained."
ratio0.67
48.54% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences103
matches
0"Now it went still, and"
ratio0.01
77.92% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences44
technicalSentenceCount4
matches
0"The air was cold in a way that had nothing to do with the weather above ground — a cellar cold, a stone cold that got into the lungs."
1"Eva Kowalski had come up the east stair without being heard, which was a trick she seemed to manage by being small and apologetic and wearing rubber-soled boots…"
2"Eva came forward, skirting the SOCO tape, and crouched where Quinn had crouched, her satchel swinging against her hip."
3"And then she thought of the east stair, which she had come down with one hand on the wall because the iron was wet — forty-two steps of wet, and a landing, and …"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
85.7958%