Run: 2026-02-17-01KHNG3Q9X4H0ZY51GZETSJPZ6

Run Details

Duration:
2m 21s
Cost:
$0.001289
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
The rain fell in silver sheets, turning the neon signs of Soho into bleeding watercolors. Detective Harlow Quinn’s breath came in sharp, controlled puffs, a ghost in the frigid air. Her worn leather watch was a familiar weight on her wrist, its face spattered with rain. She kept her eyes locked on the figure thirty yards ahead, a dark shape slipping through the evening crowds like an eel through murky water. Her suspect, a wiry man in a sodden grey hoodie, glanced back, his face a pale smudge in the gloom. He’d bolted the moment he’d seen her, the military precision of her approach telegraphing her intent a second too soon. He was fast, but she was relentless. Eighteen years of chasing shadows through this city had honed her into a blade. She pushed past a couple huddled under an umbrella, her sharp jaw set, her salt-and-pepper hair plastered to her scalp. The suspect darted down a side alley, a narrow canyon of dripping brick and overflowing bins. Quinn followed, her shoes splashing through oily puddles. The alley opened onto a slightly wider lane, less crowded. She gained ground, her longer stride eating up the distance. She could hear the ragged pull of his breath now, could see the panic in the frantic way he shoved past a stack of crates. He wasn’t just running; he was running *to* something. Or somewhere. He skidded to a halt before a recessed doorway, beneath a distinctive green neon sign that buzzed faintly in the rain: *The Raven’s Nest*. Quinn knew the place. A dive bar, the kind that attracted a certain clientele who preferred the shadows. Her gut tightened. Her last partner, Morris, had been asking questions about a place like this before he vanished. The memory was a cold stone in her chest. The suspect didn’t go in the front door. Instead, he pressed himself into the dark alcove beside it, his hands fumbling against the wet brick. There was a soft, grating sound, and a section of the wall—a cleverly disguised door—swung inward. He slipped through, into a deeper darkness. Quinn didn’t hesitate. She crossed the lane in three strides and caught the heavy door before it could click shut. A wave of damp, cold air, smelling of old stone and something else—ozone and dried herbs—washed over her. A narrow staircase descended into the earth, lit by a single, flickering bulb. She drew her service weapon, the weight of the Glock a cold comfort in her hand. She listened. The sound of frantic footsteps echoed from below, fading. He was still running. She started down, each step measured, silent. The staircase turned once, then opened into a short, rough-hewn tunnel. At its end, a heavy velvet curtain hung, a deep, bloody maroon. Muffled sounds came from beyond it—a low hum of conversation, the clink of glass, a strange, melodic chiming that set her teeth on edge. She pushed the curtain aside just enough to see. The space beyond was vast, a cavernous hollow that felt both ancient and alive. It was an abandoned Tube station, the old platforms now crowded with makeshift stalls lit by lanterns and hanging bulbs. The air was thick with the smell of exotic spices, hot metal, and something coppery, like blood. This was no ordinary black market. This was the place whispers spoke of. The Veil Market. Her suspect was already halfway across the main concourse, weaving through the crowd. The people here were a bizarre tapestry. A woman with scales glinting at her temples haggled over a jar of swirling liquid. A tall man with eyes that held no white examined a set of knives that seemed to drink the light. Everyone moved with a wary grace, a sense of being both predator and prey. Quinn’s training screamed at her to call for backup, to establish a perimeter. But her radio would be useless down here. And what would she say? That she’d followed a petty thief into a supernatural bazaar beneath Camden? They’d think she’d finally cracked, that the grief for Morris had eaten her sanity. She had to keep going. This was it. The lead she’d been chasing for three years. The kind of place Morris had stumbled into. The kind of place he never walked out of. She holstered her weapon, not wanting to cause a panic. She stepped out from behind the curtain, trying to mimic the casual yet alert posture of the other patrons. Her sharp eyes scanned the crowd, finding her suspect again. He’d stopped at a stall tucked under a crumbling archway, manned by a man she recognized with a jolt. Tomás Herrera. Former paramedic. Lost his license for… unconventional practices. His olive skin was illuminated by the warm glow of a chemist’s lamp on his counter. A Saint Christopher medallion gleamed at his throat. He was listening intently to the frantic suspect, his expression calm, professional. His hands, which she knew bore a scar along the left forearm from a knife attack, were steady as he selected a small vial from a rack behind him. Herrera was the one they went to for off-the-books medical care. Was he patching up her suspect? Or was this something else? The suspect shoved a crumpled wad of cash across the counter. Herrera didn’t touch it. Instead, he held up a small, off-white token. A bone token. The suspect snatched it and turned, his eyes darting around the market before he hurried toward a darker tunnel leading even deeper into the station’s bowels. Quinn stood frozen at the edge of the bustling crowd. The sensible choice was to apprehend Herrera. He was a known quantity, a tangible link she could drag back into the world of warrants and procedure. But Herrera was just a symptom. The suspect, and whatever that token granted him access to, was the disease. He was heading into the heart of it, into territory that had claimed Morris. To follow him was to step fully into the unknown, to abandon the rulebook she’d lived by for nearly two decades. She saw Morris’s face, not as he was in life, laughing at his own bad jokes, but as he was in her last memory of him: pale, terrified, whispering about doors that shouldn’t be opened and markets that moved with the moon. The choice wasn’t between sensible and reckless. It was between the detective she was and the truth she needed. She took a deep breath, the air tasting of magic and decay. She left Tomás Herrera and his stall behind, and she followed the suspect into the dark.
created_at"2026-02-17T09:52:31.329628+00:00" 2/17/2026, 9:52:31 AM
model"deepseek/deepseek-chat-v3.1"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency787
moderation_latency(null)
generation_time140896
tokens_prompt931
tokens_completion1634
native_tokens_prompt827
native_tokens_completion1412
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached4
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0012888300000008
router(null)
provider_responses
0
id"cmpl-ba01c5e9b4414acbbb29152c4dee1767"
status200
is_byokfalse
latency94
endpoint_id"012f7d1f-23d4-4d03-9aa3-432d8ad82757"
provider_name"DeepInfra"
model_permaslug"deepseek/deepseek-chat-v3.1"
api_type"completions"
id"gen-1771321810-ArYZWW1M3MSn0tIIIxvg"
upstream_id"cmpl-ba01c5e9b4414acbbb29152c4dee1767"
total_cost0.0012888300000008
cache_discount3.199999992e-7
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
95.51% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1113
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"slightly"
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)
37.11% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1113
totalAiIsms14
found
0
word"familiar"
count1
1
word"weight"
count2
2
word"gloom"
count1
3
word"footsteps"
count1
4
word"echoed"
count1
5
word"measured"
count1
6
word"velvet"
count1
7
word"tapestry"
count1
8
word"glinting"
count1
9
word"sense of"
count1
10
word"predator"
count1
11
word"scanned"
count1
12
word"tangible"
count1
highlights
0"familiar"
1"weight"
2"gloom"
3"footsteps"
4"echoed"
5"measured"
6"velvet"
7"tapestry"
8"glinting"
9"sense of"
10"predator"
11"scanned"
12"tangible"
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
narrationSentences92
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences92
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences92
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen42
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords4
totalWords1102
ratio0.004
matches
0"to"
1"The Raven’s Nest"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions29
wordCount1102
uniqueNames14
maxNameDensity0.54
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Herrera"
discoveredNames
Soho1
Harlow1
Quinn6
Raven1
Morris5
Glock1
Tube1
Veil1
Market1
Camden1
Herrera6
Saint1
Christopher1
Tomás2
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Morris"
4"Herrera"
5"Saint"
6"Christopher"
7"Tomás"
places
0"Soho"
globalScore1
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences75
glossingSentenceCount1
matches
0"knives that seemed to drink the light"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.907
wordCount1102
matches
0"not as he was in life, laughing at his own bad jokes, but as he was in her last memory of him: pale, terrified, whispe"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences92
matches
0"cracked, that the"
80.16% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs23
mean47.91
std20.63
cv0.431
sampleLengths
071
181
269
311
470
548
651
731
854
99
1067
1169
1252
1333
1458
1575
1622
1752
1836
1954
2042
2119
2228
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences92
matches
0"was illuminated"
88.89% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs180
matches
0"was running"
1"was listening"
2"was heading"
18.63% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount1
flaggedSentences4
totalSentences92
ratio0.043
matches
0"He wasn’t just running; he was running *to* something."
1"There was a soft, grating sound, and a section of the wall—a cleverly disguised door—swung inward."
2"A wave of damp, cold air, smelling of old stone and something else—ozone and dried herbs—washed over her."
3"Muffled sounds came from beyond it—a low hum of conversation, the clink of glass, a strange, melodic chiming that set her teeth on edge."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1113
adjectiveStacks0
stackExamples(empty)
adverbCount24
adverbRatio0.0215633423180593
lyAdverbCount8
lyAdverbRatio0.0071877807726864335
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences92
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences92
mean11.98
std7.08
cv0.591
sampleLengths
015
115
216
325
420
520
67
714
820
916
108
1110
1210
1325
149
152
1624
174
1814
193
2016
219
228
2317
2416
257
263
2717
2818
2913
3016
312
329
334
347
3511
3612
3724
389
3914
4020
4117
426
437
443
4513
467
4715
4820
4914
37.68% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.30434782608695654
totalSentences92
uniqueOpeners28
76.63% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences87
matches
0"Instead, he pressed himself into"
1"Instead, he held up a"
ratio0.023
59.08% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount35
totalSentences87
matches
0"Her worn leather watch was"
1"She kept her eyes locked"
2"Her suspect, a wiry man"
3"He’d bolted the moment he’d"
4"He was fast, but she"
5"She pushed past a couple"
6"She gained ground, her longer"
7"She could hear the ragged"
8"He wasn’t just running; he"
9"He skidded to a halt"
10"Her gut tightened."
11"Her last partner, Morris, had"
12"He slipped through, into a"
13"She crossed the lane in"
14"She drew her service weapon,"
15"He was still running."
16"She started down, each step"
17"She pushed the curtain aside"
18"It was an abandoned Tube"
19"Her suspect was already halfway"
ratio0.402
34.71% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount74
totalSentences87
matches
0"The rain fell in silver"
1"Detective Harlow Quinn’s breath came"
2"Her worn leather watch was"
3"She kept her eyes locked"
4"Her suspect, a wiry man"
5"He’d bolted the moment he’d"
6"He was fast, but she"
7"She pushed past a couple"
8"The suspect darted down a"
9"Quinn followed, her shoes splashing"
10"The alley opened onto a"
11"She gained ground, her longer"
12"She could hear the ragged"
13"He wasn’t just running; he"
14"He skidded to a halt"
15"Quinn knew the place."
16"A dive bar, the kind"
17"Her gut tightened."
18"Her last partner, Morris, had"
19"The memory was a cold"
ratio0.851
57.47% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences87
matches
0"To follow him was to"
ratio0.011
75.47% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences53
technicalSentenceCount5
matches
0"He skidded to a halt before a recessed doorway, beneath a distinctive green neon sign that buzzed faintly in the rain: *The Raven’s Nest*."
1"A dive bar, the kind that attracted a certain clientele who preferred the shadows."
2"The space beyond was vast, a cavernous hollow that felt both ancient and alive."
3"The suspect snatched it and turned, his eyes darting around the market before he hurried toward a darker tunnel leading even deeper into the station’s bowels."
4"She saw Morris’s face, not as he was in life, laughing at his own bad jokes, but as he was in her last memory of him: pale, terrified, whispering about doors th…"
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
84.8225%