Run: 2026-02-20-01KHXPQVEGCE59M3AFP5XZGN4V

Run Details

Duration:
22.3s
Cost:
$0.002067
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. The kid—Tomás Herrera, if her sources were right—was fast, but Quinn had spent years chasing men who didn’t want to be caught. She knew the rhythm of a chase: the way a runner’s shoulders tensed before a turn, the way their breath hitched when they thought they’d lost you. Herrera was good. He ducked into a narrow passage between two buildings, his dark curls plastered to his forehead, his Saint Christopher medallion glinting under the flicker of a streetlamp. Quinn followed, her leather watch strap damp against her wrist. The alley opened into a wider street, the rain drumming against the cobblestones, but Herrera was already gone. Then she saw it—the manhole cover, slightly ajar. Quinn slowed, her pulse steady despite the adrenaline. She crouched, brushing her fingers over the cold metal. The edges were worn, but not from age. Someone had been using this route recently. She hesitated. Going underground was a risk. She had no backup, no idea what waited below. But Herrera was her only lead to whatever the hell was going on in that bar, to the things she’d seen but couldn’t explain. She pried the cover open with a grunt, the metal groaning in protest. The ladder descended into darkness, the air rising from below thick with the scent of damp earth and something else—something metallic, like old coins. Quinn swung herself onto the rungs, pulling the cover back into place behind her. The descent was longer than she expected. Her boots hit packed dirt, and she paused, letting her eyes adjust. The tunnel stretched ahead, dimly lit by flickering bulbs strung along the walls. The sound of distant voices, the clink of glass, the murmur of a crowd—this wasn’t just a sewer. It was something else. She moved forward, her hand resting on the grip of her sidearm. The tunnel opened into a cavernous space, the ceiling arched like an old Tube station, but the tracks were gone, replaced by stalls and tables draped in velvet. The air hummed with energy, the kind that made the hairs on the back of her neck stand up. *The Veil Market.* Quinn had heard whispers of it—places where the rules of the world bent, where people traded in things that shouldn’t exist. She’d never believed it. Until now. Herrera was ahead, weaving through the crowd. She kept her distance, her gaze locked on the scar along his forearm, the way it caught the light when he moved. The market was a labyrinth of stalls selling everything from glowing vials of liquid to bundles of herbs that smelled like ozone. A woman with too many teeth offered her a charm that would "ward off the unseen." Quinn ignored her, her focus unwavering. Herrera turned down a side passage, disappearing behind a curtain of beads. Quinn followed, pushing through the strands, her breath catching as she stepped into a smaller chamber. The walls were lined with shelves of jars, each one containing something that writhed or pulsed. Herrera stood at the far end, speaking in low, urgent tones to a man with a face like cracked leather. Quinn stepped forward, her boot scuffing against the stone. Herrera’s head snapped up, his warm brown eyes widening. "You’re not supposed to be here," he said, his voice tight. Quinn didn’t answer. She closed the distance between them, her hand still resting on her gun. "You ran. That makes you look guilty." Herrera’s fingers twitched at his sides. "You don’t understand what you’re walking into." "Then explain it to me." The man with the leathery face let out a dry chuckle. "She’s got you there, boy." Quinn ignored him, her gaze never leaving Herrera. "Three years ago, my partner died. Unexplained circumstances. I’ve been chasing ghosts ever since. Then I see you, running from a bar that doesn’t exist on any map, into a market that shouldn’t exist at all." She took another step forward. "What are you hiding?" Herrera’s jaw tightened. For a moment, she thought he might bolt again. But then he exhaled, his shoulders slumping. "You want answers? Fine. But not here." He turned to the leathery man, exchanging a few words in a language Quinn didn’t recognize. The man nodded, then melted into the shadows. Herrera gestured for her to follow. Quinn hesitated. Every instinct told her this was a bad idea. But the alternative was walking away with nothing. She followed.
created_at"2026-02-20T14:19:56.762Z" 2/20/2026, 2:19:56 PM
model"mistralai/mistral-large-2512" 1/1/2512, 12:00:00 AM
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency582
moderation_latency(null)
generation_time22216
tokens_prompt914
tokens_completion1282
native_tokens_prompt840
native_tokens_completion1098
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"
usage0.002067
router(null)
provider_responses
0
endpoint_id"fa718841-07ea-4b7e-b8a3-6069545c7e6a"
id"fa90fd00d26544f6a80863e13064047e"
is_byokfalse
latency582
model_permaslug"mistralai/mistral-large-2512" 1/1/2512, 12:00:00 AM
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771597196-spJT7SojGsgoyWZk778a"
upstream_id"fa90fd00d26544f6a80863e13064047e"
total_cost0.002067
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
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences9
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
94.06% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount842
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)
52.49% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount842
totalAiIsms8
found
0
word"scanned"
count1
1
word"glinting"
count1
2
word"flicker"
count1
3
word"pulse"
count1
4
word"velvet"
count1
5
word"charm"
count1
6
word"unwavering"
count1
7
word"pulsed"
count1
highlights
0"scanned"
1"glinting"
2"flicker"
3"pulse"
4"velvet"
5"charm"
6"unwavering"
7"pulsed"
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
emotionTells1
narrationSentences62
matches
0"t in determination"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences62
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences68
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen41
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords6
totalWords835
ratio0.007
matches
0"The Raven’s Nest"
1"The Veil Market."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions34
wordCount754
uniqueNames11
maxNameDensity1.72
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
London1
Harlow1
Quinn13
Soho1
Raven1
Tomás1
Herrera12
Saint1
Christopher1
Tube1
Veil1
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Saint"
5"Christopher"
places
0"London"
1"Soho"
2"Raven"
globalScore0.638
windowScore0.5
98.98% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences49
glossingSentenceCount1
matches
0"smelled like ozone"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount835
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences68
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs23
mean36.3
std25.48
cv0.702
sampleLengths
080
170
258
38
472
551
654
759
83
927
1073
1164
1218
1311
1423
1513
165
1716
1853
1926
2030
2119
222
93.94% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences62
matches
0"were gone"
1"were lined"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs142
matches
0"was going"
1"was walking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences6
totalSentences68
ratio0.088
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 kid—Tomás Herrera, if her sources were right—was fast, but Quinn had spent years chasing men who didn’t want to be caught."
2"Then she saw it—the manhole cover, slightly ajar."
3"The ladder descended into darkness, the air rising from below thick with the scent of damp earth and something else—something metallic, like old coins."
4"The sound of distant voices, the clink of glass, the murmur of a crowd—this wasn’t just a sewer."
5"Quinn had heard whispers of it—places where the rules of the world bent, where people traded in things that shouldn’t exist."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount761
adjectiveStacks0
stackExamples(empty)
adverbCount15
adverbRatio0.01971090670170828
lyAdverbCount4
lyAdverbRatio0.005256241787122208
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences68
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences68
mean12.28
std8.05
cv0.656
sampleLengths
015
123
218
324
421
522
627
73
827
910
1018
118
128
139
148
157
162
175
189
1924
2013
2124
2214
237
2412
2513
2618
274
2812
2928
3019
313
3221
334
342
357
3622
3722
3822
3912
4016
4116
4220
439
449
4511
463
4713
487
496
45.59% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.27941176470588236
totalSentences68
uniqueOpeners19
57.47% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences58
matches
0"Then she saw it—the manhole"
ratio0.017
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount16
totalSentences58
matches
0"Her breath came in controlled"
1"She’d been tailing the suspect"
2"She knew the rhythm of"
3"He ducked into a narrow"
4"She crouched, brushing her fingers"
5"She had no backup, no"
6"She pried the cover open"
7"Her boots hit packed dirt,"
8"It was something else."
9"She moved forward, her hand"
10"She’d never believed it."
11"She kept her distance, her"
12"he said, his voice tight"
13"She closed the distance between"
14"She took another step forward"
15"He turned to the leathery"
ratio0.276
11.72% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount52
totalSentences58
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 kid—Tomás Herrera, if her"
6"She knew the rhythm of"
7"Herrera was good."
8"He ducked into a narrow"
9"Quinn followed, her leather watch"
10"The alley opened into a"
11"Quinn slowed, her pulse steady"
12"She crouched, brushing her fingers"
13"The edges were worn, but"
14"Someone had been using this"
15"She had no backup, no"
16"She pried the cover open"
17"The ladder descended into darkness,"
18"Quinn swung herself onto the"
19"The descent was longer than"
ratio0.897
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences58
matches(empty)
ratio0
71.43% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences30
technicalSentenceCount3
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"The market was a labyrinth of stalls selling everything from glowing vials of liquid to bundles of herbs that smelled like ozone."
2"Quinn followed, pushing through the strands, her breath catching as she stepped into a smaller chamber."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount1
matches
0"he said, his voice tight"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences9
tagDensity0.111
leniency0.222
rawRatio0
effectiveRatio0
79.1897%