Run: 2026-04-27-01KQ72NZVS55X9MEKN5PBE4GC3

Run Details

Duration:
1m 4s
Cost:
$0.006005
Provider:
AtlasCloud

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 drummed against the asphalt in a relentless, staccato rhythm. Harlow Quinn adjusted her grip on the collar of her trench coat, her boots finding purchase on the slick cobblestones of a Soho side street. She didn’t run; she never ran. Eighteen years in the Metropolitan Police had taught her that sprinting was for rookies who needed to burn adrenaline. Quinn moved with military precision, her five-foot-nine frame cutting through the downpour like a blade. Her closely cropped salt-and-pepper hair was plastered to her skull, water tracing the sharp line of her jaw as she scanned the alley ahead. Her brown eyes missed nothing: the skid marks on the wet stone, the discarded takeout container, the faint glint of something metallic catching a distant streetlamp. She was close. She could hear him now—a sharp intake of breath, the heavy slap of wet sneakers against pavement, the rustle of a nylon jacket. Tomás Herrera. The former NHS paramedic who had somehow lost his license, his medical bag, and three months of quiet nights in the span of a single week. He was moving fast, but she knew his tells. He favored his right leg when he was spooked, the old scar along his left forearm pulling tight against the skin. She’d seen the injury herself during a rushed, off-the-books triage in the back room of a dimly lit Soho bar, where he’d stitched her up after a botched stakeout. He wore his Saint Christopher medallion close to his chest, a silver chain glinting against his olive skin. Tonight, it was bouncing against his sternum as he scrambled over a chain-link fence. Quinn didn’t break stride. She vaulted the fence with a fluid roll, water soaking through her trousers the moment her back hit the damp ground. She rose instantly, checking the worn leather strap on her left wrist before following his trajectory. He was heading north, away from the neon glow of Soho, toward the skeletal silhouettes of Camden’s warehouses. The rain hadn’t let up. It fell in thick, cold sheets, turning the city into a watercolor smear of gray and black. Herrera slipped through a narrow gap between two brick buildings and vanished down a concrete stairwell. The air grew noticeably colder as Quinn descended, the city’s ambient noise muffled by thick stone. She counted twelve steps before her boots hit a landing. Another eight. The fluorescent light overhead flickered, casting long, jagged shadows that seemed to stretch toward her. She paused, her breath fogging in the chill. Her hand drifted to the sidearm at her hip, then stopped. She hadn’t needed it tonight. Not yet. The stairwell opened into a cavernous space that had once been an abandoned Tube station. The tracks were gone, ripped up decades ago, but the platform remained. Now, it was alive. Paper lanterns strung between crumbling brick arches cast a sickly amber glow over a maze of wooden stalls and draped tarps. The air smelled of ozone, crushed herbs, and something metallic that made Quinn’s teeth ache. This wasn’t London. This was somewhere else entirely. She knew what it was. Everyone in the force knew the rumors about the underground black market that operated beneath Camden. They called it the Veil Market. It moved with the moon, slipped through the cracks of the city, and sold things that had no place in a civilized world. Enchanted glass that wept real tears. Banned alchemical substances that could cure or corrupt depending on the drop. Information traded for blood. And it required a bone token to cross the threshold. Quinn’s eyes narrowed. She hadn’t seen Herrera enter properly. He’d gone straight through a narrow archway framed by rusted turnstiles. Now, standing at the edge of the platform, she could see the token-keeper. A hooded figure stood behind a makeshift table of driftwood, fingers drumming on a ledger. Vendors called out in hushed, overlapping tongues. A woman with skin like polished obsidian haggled over a vial of liquid shadow. A man with too many joints in his fingers offered charms that whispered when you held them. Tomás was gone. She’d caught a glimpse of his short curly dark hair disappearing behind a curtain of beaded glass, heading deeper into the maze. He was moving with purpose now, no longer panicking. He knew this place. That thought coiled tight in Quinn’s stomach. He wasn’t just running; he was going home. She should turn back. Her radio crackled to life in her pocket, static hissing like dry leaves. Quinn, you copy? It was dispatch. Her thumb hovered over the button. She could give them his last known coordinates. She could request backup. She could close the case and go back to the dry warmth of her office, to files and fingerprint powder and the comforting predictability of cause and effect. Instead, she thought of Morris. Three years. Three years since the alley behind the old textile mill, since the streetlights had blown out one by one, since the shadows had moved against the wind. Her partner hadn’t been shot. He hadn’t been stabbed. He’d just unspooled. Blood that defied gravity. Whispers that sounded like breaking glass. The coroner had called it a rare aneurysm. Quinn hadn’t. She’d spent every night since then chasing ghosts, looking for the thread that tied the unnatural to the ordinary. The clique she’d been tracking—the same group Herrera was embedded in—had been whispering about rituals, about boundaries thinning, about things that crawled out of the cracks when the moon was full. The Veil Market sat at the center of it. Quinn stepped forward. Her boot scuffed against the edge of a faded yellow line painted on the concrete decades ago. The token-keeper turned, eyes glowing faintly in the dim light. They didn’t speak. They just held out a pale, weathered hand. A bone token. Small, drilled through the center, dark with age and use. Quinn hadn’t carried one. She wasn’t supposed to. But she’d seen Herrera drop it when he’d jumped the fence—a casual flick of his wrist, the way a magician misdirects. She hadn’t picked it up then. She’d let him run. Now, she knelt. The concrete was damp, cold against her knees. She brushed aside a layer of grime and found it lodged in a crack. She pried it loose. It was heavy. Warm. It hummed against her palm like a sleeping wasp. She closed her fingers around it. The token-keeper didn’t move. The lanterns flickered. The murmurs of the market swelled, a chorus of impossible commerce and older sins. Quinn stood, water dripping from her coat, her jaw set. She could still walk away. She could call it in. She could leave this place to the people who belonged in it, to the paramedic with the scar and the saints and the secrets, to the things that waited in the shadows with patient, hungry eyes. Her watch ticked. Eighteen years of procedure. Eighteen years of believing the world was made of evidence, of laws, of right and wrong. But Morris had been wrong about that, too. The world was wider. Darker. And she had spent too long pretending otherwise. Quinn slipped the bone token into her pocket. It felt like holding a live wire. She adjusted her coat, squared her shoulders, and stepped across the faded yellow line. The air shifted. The damp chill vanished, replaced by a thick, resinous warmth. Paper lanterns flared brighter. Heads turned. Eyes—some human, some not—fixed on her. The vendor with the whispering charms went silent. The token-keeper bowed their head, a single, slow nod. Quinn didn’t flinch. She moved forward, her boots silent on the stone, her hand resting lightly near her holster. She wasn’t here to buy. She wasn’t here to bargain. She was here to follow. She found the beaded curtain where Tomás had disappeared, reached out, and pushed it aside. The passage beyond opened into a narrow corridor lined with iron lockers and flickering bulbs. At the end of it, she saw the back of his jacket. She saw the silver chain of his medallion catch the light. She saw the way he paused, listening, as if he already knew she was there. Quinn stepped through. The rain above was forgotten. The city above was a memory. Down here, in the dark, the hunt began.
created_at"2026-04-27T09:00:17.665Z" 4/27/2026, 9:00:17 AM
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external_user(null)
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cancelledfalse
latency7583
moderation_latency(null)
generation_time63309
tokens_prompt914
tokens_completion6872
native_tokens_prompt870
native_tokens_completion6076
native_tokens_completion_images(null)
native_tokens_reasoning4267
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
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origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.006005103
router(null)
provider_responses
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latency7583
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
96.40% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1389
totalAiIsmAdverbs1
found
0
adverb"lightly"
count1
highlights
0"lightly"
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)
56.80% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1389
totalAiIsms12
found
0
word"tracing"
count1
1
word"scanned"
count1
2
word"glint"
count1
3
word"glinting"
count1
4
word"flickered"
count2
5
word"chill"
count2
6
word"stomach"
count1
7
word"warmth"
count2
8
word"comforting"
count1
highlights
0"tracing"
1"scanned"
2"glint"
3"glinting"
4"flickered"
5"chill"
6"stomach"
7"warmth"
8"comforting"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences139
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences139
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)
analyzedSentences139
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen36
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1383
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
95.77% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions43
wordCount1383
uniqueNames15
maxNameDensity1.08
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Quinn15
Soho3
Metropolitan1
Police1
Herrera5
Saint1
Christopher1
Camden2
Tube1
London1
Veil2
Market2
Morris2
Tomás3
Eighteen3
persons
0"Quinn"
1"Police"
2"Herrera"
3"Saint"
4"Christopher"
5"Camden"
6"Market"
7"Morris"
8"Tomás"
places
0"Soho"
1"Metropolitan"
2"London"
globalScore0.958
windowScore1
62.79% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences86
glossingSentenceCount3
matches
0"shadows that seemed to stretch toward her"
1"sounded like breaking glass"
2"felt like holding a live wire"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1383
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences139
matches(empty)
99.56% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs20
mean69.15
std34.47
cv0.498
sampleLengths
0125
1145
281
385
475
582
686
753
869
9116
109
1193
1242
1383
1444
1529
1642
1734
1868
1922
82.54% Passive voice overuse
Target: ≤2% passive sentences
passiveCount9
totalSentences139
matches
0"was plastered"
1"was spooked"
2"were gone"
3"was gone"
4"been shot"
5"been stabbed"
6"was embedded"
7"was made"
8"was forgotten"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs239
matches
0"was heading"
1"was going"
2"wasn’t just running"
19.53% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount2
flaggedSentences6
totalSentences139
ratio0.043
matches
0"She didn’t run; she never ran."
1"She could hear him now—a sharp intake of breath, the heavy slap of wet sneakers against pavement, the rustle of a nylon jacket."
2"He wasn’t just running; he was going home."
3"The clique she’d been tracking—the same group Herrera was embedded in—had been whispering about rituals, about boundaries thinning, about things that crawled out of the cracks when the moon was full."
4"But she’d seen Herrera drop it when he’d jumped the fence—a casual flick of his wrist, the way a magician misdirects."
5"Eyes—some human, some not—fixed on her."
88.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1400
adjectiveStacks2
stackExamples
0"short curly dark hair"
1"damp, cold against her"
adverbCount33
adverbRatio0.023571428571428573
lyAdverbCount10
lyAdverbRatio0.007142857142857143
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences139
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences139
mean9.95
std7.32
cv0.736
sampleLengths
010
125
26
319
415
524
626
73
823
92
1026
119
1221
1329
1418
1514
164
1721
1816
1918
205
2117
2216
2316
2410
252
2615
278
2811
295
302
3115
3212
334
3421
3515
363
375
385
3916
406
4123
426
4312
444
4510
463
476
4811
4913
29.14% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats29
diversityRatio0.2733812949640288
totalSentences139
uniqueOpeners38
25.45% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences131
matches
0"Instead, she thought of Morris."
ratio0.008
33.74% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount61
totalSentences131
matches
0"She didn’t run; she never"
1"Her closely cropped salt-and-pepper hair"
2"Her brown eyes missed nothing:"
3"She was close."
4"She could hear him now—a"
5"He was moving fast, but"
6"He favored his right leg"
7"She’d seen the injury herself"
8"He wore his Saint Christopher"
9"She vaulted the fence with"
10"She rose instantly, checking the"
11"He was heading north, away"
12"It fell in thick, cold"
13"She counted twelve steps before"
14"She paused, her breath fogging"
15"Her hand drifted to the"
16"She hadn’t needed it tonight."
17"She knew what it was."
18"They called it the Veil"
19"It moved with the moon,"
ratio0.466
28.70% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount113
totalSentences131
matches
0"Rain drummed against the asphalt"
1"Harlow Quinn adjusted her grip"
2"She didn’t run; she never"
3"Quinn moved with military precision,"
4"Her closely cropped salt-and-pepper hair"
5"Her brown eyes missed nothing:"
6"She was close."
7"She could hear him now—a"
8"The former NHS paramedic who"
9"He was moving fast, but"
10"He favored his right leg"
11"She’d seen the injury herself"
12"He wore his Saint Christopher"
13"Tonight, it was bouncing against"
14"Quinn didn’t break stride."
15"She vaulted the fence with"
16"She rose instantly, checking the"
17"He was heading north, away"
18"The rain hadn’t let up."
19"It fell in thick, cold"
ratio0.863
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences131
matches
0"Now, it was alive."
1"Now, standing at the edge"
2"Now, she knelt."
ratio0.023
93.60% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences58
technicalSentenceCount4
matches
0"The fluorescent light overhead flickered, casting long, jagged shadows that seemed to stretch toward her."
1"The stairwell opened into a cavernous space that had once been an abandoned Tube station."
2"Banned alchemical substances that could cure or corrupt depending on the drop."
3"The clique she’d been tracking—the same group Herrera was embedded in—had been whispering about rituals, about boundaries thinning, about things that crawled ou…"
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
83.7338%