Run: 2026-02-20-01KHXQKF437NA127AJ8ACWRDV9

Run Details

Duration:
26.1s
Cost:
$0.002361
Provider:
Mistral

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 in sheets, turning the London streets into a slick, reflective maze. Detective Harlow Quinn moved with the precision of a soldier, her boots splashing through puddles that pooled in the cracks of the pavement. The neon glow of Soho’s signs bled into the wet darkness, casting everything in an eerie, watery light. Her breath came in controlled bursts, fogging the air in front of her as she scanned the alleyways, her sharp jaw set in determination. She’d been tailing the suspect for blocks—ever since he’d bolted from *The Raven’s Nest* like a man with something to hide. And Quinn knew a thing or two about men with things to hide. The suspect—Tomás Herrera, if her sources were right—was fast, but she was faster. He had youth on his side, but she had experience. And right now, experience was winning. She could see the Saint Christopher medallion bouncing against his chest as he ran, the silver glinting under the streetlights. His dark curls were plastered to his forehead, his olive skin slick with rain. He glanced back, his warm brown eyes widening when he saw how close she was. Quinn didn’t call out. Didn’t warn him. She just ran harder. Herrera cut down a side street, his boots skidding on the wet cobblestones. Quinn followed, her own steps sure despite the slippery ground. She could hear his ragged breathing now, the way his lungs burned with effort. He wasn’t used to being the one chased. The alley opened into a wider street, the rain drumming against the pavement like a thousand tiny hammers. Herrera hesitated for half a second—just long enough for Quinn to close the distance. She lunged, her fingers brushing the fabric of his jacket before he twisted away, his scarred forearm flashing as he shoved her back. “Police!” she barked, but the word was swallowed by the storm. Herrera didn’t stop. He bolted again, this time toward the mouth of an abandoned Tube station, its entrance gaping like a wound in the earth. Quinn’s pulse spiked. That wasn’t just any station. That was the Veil Market. She knew the rumors. Knew the stories about the underground black market that moved with the full moon, where things were bought and sold that shouldn’t exist. Knew the bone tokens required for entry. And she knew, with a detective’s instinct, that Herrera was heading straight for it. For a second, she hesitated. The Veil Market was off-limits. Unsanctioned. Dangerous. But Herrera was getting away. Quinn cursed under her breath and followed. The stairs descended into darkness, the air growing thick and damp. The sound of the rain faded behind her, replaced by the low hum of voices, the clink of glass, the occasional laugh that sounded too sharp, too knowing. The walls were lined with flickering lanterns, their light casting long, shifting shadows. The scent of incense and something metallic—blood?—hung heavy in the air. Herrera was already disappearing into the crowd, his dark jacket blending into the sea of bodies. Quinn pushed forward, her hand resting on the grip of her holstered sidearm. The market was a labyrinth of stalls, each one selling things that made her skin prickle. A woman with too many teeth offered vials of glowing liquid. A man in a long coat displayed rows of teeth—human, animal, something in between. A child, no older than ten, held out a jar containing what looked like a floating, disembodied eye. Quinn’s stomach twisted. She’d seen a lot in her eighteen years on the force, but this? This was different. She spotted Herrera again, weaving through the crowd toward a stall at the far end. The vendor, a gaunt man with hollow cheeks, handed him something small and white—a bone token. Herrera didn’t hesitate. He turned and slipped behind a curtain of beads, vanishing from sight. Quinn’s jaw tightened. She didn’t have a token. Didn’t have an invitation. But she wasn’t about to let him disappear. She shouldered her way through the crowd, ignoring the muttered protests, the hissed warnings. The vendor at the stall eyed her as she approached, his gaze lingering on the badge clipped to her belt. “You don’t belong here, detective,” he said, his voice like dry leaves. Quinn didn’t answer. She just held out her hand. “Token.” The man smirked, revealing teeth that were just a little too sharp. “Not for you.” She leaned in, her voice low and dangerous. “I can make this place disappear. Every last one of you. Or you can give me the token and pretend you never saw me.” For a long moment, the man just stared at her. Then, with a sigh, he reached under the counter and tossed a token onto the surface between them. It landed with a soft *click*. Quinn snatched it up and followed Herrera through the beads. The space beyond was smaller, darker. The air smelled of old paper and something sweet, like rotting fruit. A single lantern hung from the ceiling, casting a dim glow over a table where three figures sat, their faces obscured by shadows. Herrera stood in front of them, his back rigid, his hands clenched at his sides. Quinn pressed herself against the wall, her breath shallow. She could hear the murmur of voices, but the words were indistinct, lost in the hum of the market behind her. Then Herrera spoke, his voice tight with anger. “She’s getting too close.” One of the figures leaned forward, the lantern light catching the edge of a silver mask. “Then you know what must be done.” Quinn’s blood ran cold. She’d heard enough. She stepped forward, her badge held high. “Metropolitan Police. Step away from the table. Now.” The figures didn’t move. Herrera turned slowly, his expression unreadable. The masked one chuckled, the sound like ice cracking. “Detective Quinn. We’ve been expecting you.” The lantern flickered. And then the darkness swallowed them whole.
created_at"2026-02-20T14:35:01.647Z" 2/20/2026, 2:35:01 PM
model"mistralai/mistral-large-2512" 1/1/2512, 12:00:00 AM
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency437
moderation_latency(null)
generation_time26007
tokens_prompt914
tokens_completion1538
native_tokens_prompt840
native_tokens_completion1294
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached0
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"
usage0.002361
router(null)
provider_responses
0
endpoint_id"fa718841-07ea-4b7e-b8a3-6069545c7e6a"
id"4c7877deb4d54449973e00837c432a5a"
is_byokfalse
latency437
model_permaslug"mistralai/mistral-large-2512" 1/1/2512, 12:00:00 AM
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771598101-XwyU5eB223KTYCLt2b1h"
upstream_id"4c7877deb4d54449973e00837c432a5a"
total_cost0.002361
cache_discount(null)
upstream_inference_cost0
provider_name"Mistral"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences9
tagDensity0.222
leniency0.444
rawRatio0
effectiveRatio0
94.97% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount994
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"slowly"
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)
69.82% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount994
totalAiIsms6
found
0
word"scanned"
count1
1
word"glinting"
count1
2
word"pulse"
count1
3
word"stomach"
count1
4
word"unreadable"
count1
5
word"flickered"
count1
highlights
0"scanned"
1"glinting"
2"pulse"
3"stomach"
4"unreadable"
5"flickered"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"blood ran cold"
count1
1
label"hung in the air"
count1
highlights
0"blood ran cold"
1"hung heavy in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells2
narrationSentences86
matches
0"t in determination"
1"t with anger"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences86
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences93
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords4
totalWords985
ratio0.004
matches
0"The Raven’s Nest"
1"click"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
74.41% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions39
wordCount926
uniqueNames12
maxNameDensity1.51
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
London1
Harlow1
Quinn14
Soho1
Raven1
Tomás1
Herrera13
Saint1
Christopher1
Tube1
Veil2
Market2
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Saint"
5"Christopher"
places
0"London"
1"Soho"
2"Raven"
globalScore0.744
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences62
glossingSentenceCount1
matches
0"looked like a floating, disembodied eye"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount985
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences93
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs34
mean28.97
std23.21
cv0.801
sampleLengths
080
134
278
311
445
555
611
738
848
917
107
1163
1288
1319
1446
1520
1634
1712
1810
1915
2032
2134
2210
2356
2430
2512
2623
274
283
2915
3010
3115
323
337
88.94% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences86
matches
0"were plastered"
1"was swallowed"
2"were bought"
3"were lined"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs160
matches
0"was winning"
1"was heading"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences6
totalSentences93
ratio0.065
matches
0"She’d been tailing the suspect for blocks—ever since he’d bolted from *The Raven’s Nest* like a man with something to hide."
1"The suspect—Tomás Herrera, if her sources were right—was fast, but she was faster."
2"Herrera hesitated for half a second—just long enough for Quinn to close the distance."
3"The scent of incense and something metallic—blood?—hung heavy in the air."
4"A man in a long coat displayed rows of teeth—human, animal, something in between."
5"The vendor, a gaunt man with hollow cheeks, handed him something small and white—a bone token."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount935
adjectiveStacks0
stackExamples(empty)
adverbCount27
adverbRatio0.028877005347593583
lyAdverbCount1
lyAdverbRatio0.0010695187165775401
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences93
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences93
mean10.59
std6.53
cv0.616
sampleLengths
015
123
218
324
421
513
613
710
86
920
1014
1115
124
133
144
1513
1610
1714
188
1918
2014
2123
2211
233
2422
253
265
275
284
2923
307
3114
325
335
341
351
365
377
3811
3928
4013
4111
4216
4313
4416
4511
4614
4718
483
4913
40.32% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.2903225806451613
totalSentences93
uniqueOpeners27
79.37% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences84
matches
0"Then, with a sigh, he"
1"Then Herrera spoke, his voice"
ratio0.024
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences84
matches
0"Her breath came in controlled"
1"She’d been tailing the suspect"
2"He had youth on his"
3"She could see the Saint"
4"His dark curls were plastered"
5"He glanced back, his warm"
6"She just ran harder."
7"She could hear his ragged"
8"He wasn’t used to being"
9"She lunged, her fingers brushing"
10"she barked, but the word"
11"He bolted again, this time"
12"She knew the rumors."
13"She’d seen a lot in"
14"She spotted Herrera again, weaving"
15"He turned and slipped behind"
16"She didn’t have a token."
17"She shouldered her way through"
18"he said, his voice like"
19"She just held out her"
ratio0.298
49.29% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount69
totalSentences84
matches
0"The rain came down in"
1"Detective Harlow Quinn moved with"
2"The neon glow of Soho’s"
3"Her breath came in controlled"
4"She’d been tailing the suspect"
5"The suspect—Tomás Herrera, if her"
6"He had youth on his"
7"She could see the Saint"
8"His dark curls were plastered"
9"He glanced back, his warm"
10"Quinn didn’t call out."
11"She just ran harder."
12"Herrera cut down a side"
13"Quinn followed, her own steps"
14"She could hear his ragged"
15"He wasn’t used to being"
16"The alley opened into a"
17"Herrera hesitated for half a"
18"She lunged, her fingers brushing"
19"she barked, but the word"
ratio0.821
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences84
matches(empty)
ratio0
47.62% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences45
technicalSentenceCount6
matches
0"Detective Harlow Quinn moved with the precision of a soldier, her boots splashing through puddles that pooled in the cracks of the pavement."
1"She lunged, her fingers brushing the fabric of his jacket before he twisted away, his scarred forearm flashing as he shoved her back."
2"Knew the stories about the underground black market that moved with the full moon, where things were bought and sold that shouldn’t exist."
3"The sound of the rain faded behind her, replaced by the low hum of voices, the clink of glass, the occasional laugh that sounded too sharp, too knowing."
4"The market was a labyrinth of stalls, each one selling things that made her skin prickle."
5"The man smirked, revealing teeth that were just a little too sharp."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount1
matches
0"she barked, but the word was swallowed by the storm"
38.89% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"she barked (bark)"
dialogueSentences9
tagDensity0.222
leniency0.444
rawRatio0.5
effectiveRatio0.222
78.3429%