Run: 2026-02-20-01KHXQ5VSAYGFX962WY71KEJHE

Run Details

Duration:
21.8s
Cost:
$0.002064
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 green neon sign above the bar flickered in her memory, its glow swallowed by the storm. The man was fast, but Quinn was faster. She’d spent years chasing shadows, and tonight, this one was hers. The suspect—Tomás Herrera, if her intel was right—ducked around a corner, his dark curls plastered to his forehead. The Saint Christopher medallion around his neck glinted under a streetlamp before disappearing into the gloom. Quinn’s fingers twitched near her sidearm, but she didn’t draw. Not yet. Not until she knew what he was running from. She rounded the corner just in time to see him vanish down a set of stairs leading into the underground. The Camden Tube station, abandoned and boarded up years ago. But the boards were pried loose, the entrance gaping like a wound in the city’s skin. Quinn hesitated. The rain drummed against her shoulders, soaking through her coat. She knew the stories—whispers of a black market beneath the city, one that moved with the moon, one that dealt in things the law couldn’t touch. The Veil Market. She’d heard the name in hushed tones, from informants who clammed up the second she pressed for details. But Herrera was down there. And if he was connected to the clique, to whatever had taken Morris from her three years ago, then she wasn’t letting him slip away. She descended the stairs, the air growing colder with each step. The tunnel opened up before her, dimly lit by flickering bulbs strung along the walls. The scent of damp stone and something metallic hung thick in the air. Her boots echoed against the concrete, the sound swallowed by the vast emptiness of the abandoned station. Then she saw it—the market. Stalls lined the platform, their wares hidden beneath tarps and flickering lanterns. Figures moved in the shadows, their faces obscured by hoods and masks. The hum of low conversation filled the air, punctuated by the occasional clink of glass or the rustle of fabric. A bone token, strung on a leather cord, dangled from the wrist of a vendor who eyed her with suspicion. Quinn kept her expression neutral, her hand resting near her hip. She wasn’t here to browse. She was here to find Herrera. She moved through the crowd, her eyes scanning the faces. The market was a labyrinth of secrets—vials of glowing liquid, bundles of herbs that smelled like ozone and decay, weapons that hummed with an energy she couldn’t name. A woman in a long coat offered her a silver locket, its surface etched with symbols that made Quinn’s teeth ache. “Looking for something, love?” the woman murmured. Quinn ignored her, pressing forward. She caught a glimpse of Herrera’s medallion near a stall at the far end of the platform. He was talking to a man with a scarred face, their voices too low to hear. Quinn edged closer, her pulse steady despite the adrenaline. Then Herrera turned, his warm brown eyes locking onto hers. For a heartbeat, neither moved. The market seemed to hold its breath. Then Herrera bolted. Quinn cursed and gave chase, shoving past a vendor who yelped in protest. Herrera was fast, weaving through the crowd with the ease of someone who knew the market’s twists and turns. Quinn followed, her boots pounding against the concrete. She caught sight of him ducking behind a curtain of beads, disappearing into a narrow passage. She didn’t hesitate. The passage opened into a smaller chamber, the air thick with the scent of incense and something older, something that made the hairs on the back of her neck stand on end. Herrera stood at the far end, his chest heaving, his scarred forearm glistening with rainwater. “You’re not supposed to be here,” he said, his voice low. Quinn stepped forward, her hand still near her gun. “Neither are you.” Herrera’s fingers twitched at his side. “You don’t understand what you’re walking into.” “Then explain it to me.” He laughed, a bitter sound. “You wouldn’t believe me.” Quinn took another step. “Try me.” Herrera’s gaze flicked past her, toward the passage. She didn’t turn. She didn’t need to. She could feel the shift in the air, the weight of unseen eyes pressing down on her. “You should go,” Herrera said quietly. “While you still can.” Quinn’s jaw tightened. She wasn’t leaving without answers. And then the lights went out.
created_at"2026-02-20T14:27:35.863Z" 2/20/2026, 2:27:35 PM
model"mistralai/mistral-large-2512" 1/1/2512, 12:00:00 AM
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency447
moderation_latency(null)
generation_time21727
tokens_prompt914
tokens_completion1298
native_tokens_prompt840
native_tokens_completion1096
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"
usage0.002064
router(null)
provider_responses
0
endpoint_id"fa718841-07ea-4b7e-b8a3-6069545c7e6a"
id"e2bc2aa4ef97480d862e14b06232fed4"
is_byokfalse
latency447
model_permaslug"mistralai/mistral-large-2512" 1/1/2512, 12:00:00 AM
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771597655-nmvqwn88VfFtSpF0dNUB"
upstream_id"e2bc2aa4ef97480d862e14b06232fed4"
total_cost0.002064
cache_discount(null)
upstream_inference_cost0
provider_name"Mistral"

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount1
adverbTags
0"Herrera said quietly [quietly]"
dialogueSentences9
tagDensity0.333
leniency0.667
rawRatio0.333
effectiveRatio0.222
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount836
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
28.23% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount836
totalAiIsms12
found
0
word"scanned"
count1
1
word"flickered"
count1
2
word"gloom"
count1
3
word"echoed"
count1
4
word"scanning"
count1
5
word"etched"
count1
6
word"pulse"
count1
7
word"pounding"
count1
8
word"glistening"
count1
9
word"flicked"
count1
10
word"could feel"
count1
11
word"weight"
count1
highlights
0"scanned"
1"flickered"
2"gloom"
3"echoed"
4"scanning"
5"etched"
6"pulse"
7"pounding"
8"glistening"
9"flicked"
10"could feel"
11"weight"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"hung in the air"
count1
highlights
0"hung thick in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences67
matches
0"t in determination"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences67
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences73
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords3
totalWords830
ratio0.004
matches
0"The Raven’s Nest"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount792
uniqueNames14
maxNameDensity1.64
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Herrera"
discoveredNames
London1
Harlow1
Quinn13
Soho1
Raven1
Tomás1
Herrera11
Saint1
Christopher1
Camden1
Tube1
Veil1
Market1
Morris1
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Saint"
5"Christopher"
6"Market"
7"Morris"
places
0"London"
1"Soho"
2"Raven"
globalScore0.679
windowScore0.5
97.92% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences48
glossingSentenceCount1
matches
0"smelled like ozone and decay, weapons that"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount830
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences73
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs29
mean28.62
std23.71
cv0.828
sampleLengths
080
157
255
346
459
530
656
75
864
922
1059
117
1247
1310
1412
153
1656
173
1847
1911
2012
2113
225
239
246
2532
2610
278
286
94.79% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences67
matches
0"were pried"
1"was connected"
1.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs134
matches
0"was running"
1"wasn’t letting"
2"was talking"
3"wasn’t leaving"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences5
totalSentences73
ratio0.068
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 intel was right—ducked around a corner, his dark curls plastered to his forehead."
2"She knew the stories—whispers of a black market beneath the city, one that moved with the moon, one that dealt in things the law couldn’t touch."
3"Then she saw it—the market."
4"The market was a labyrinth of secrets—vials of glowing liquid, bundles of herbs that smelled like ozone and decay, weapons that hummed with an energy she couldn’t name."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount798
adjectiveStacks0
stackExamples(empty)
adverbCount15
adverbRatio0.018796992481203006
lyAdverbCount2
lyAdverbRatio0.002506265664160401
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences73
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences73
mean11.37
std7.13
cv0.627
sampleLengths
015
123
218
324
421
517
68
711
818
916
1010
112
129
1320
1410
1516
162
1710
1826
193
2018
215
2225
2311
2415
2513
2617
275
2812
2912
3020
3120
3211
335
346
3510
3628
3721
387
395
4017
4116
429
4310
445
457
463
4713
4819
498
37.67% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.273972602739726
totalSentences73
uniqueOpeners20
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences65
matches
0"Then she saw it—the market."
1"Then Herrera turned, his warm"
2"Then Herrera bolted."
ratio0.046
90.77% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences65
matches
0"Her breath came in controlled"
1"She’d been tailing the suspect"
2"She’d spent years chasing shadows,"
3"She rounded the corner just"
4"She knew the stories—whispers of"
5"She’d heard the name in"
6"She descended the stairs, the"
7"Her boots echoed against the"
8"She wasn’t here to browse."
9"She was here to find"
10"She moved through the crowd,"
11"She caught a glimpse of"
12"He was talking to a"
13"She caught sight of him"
14"She didn’t hesitate."
15"he said, his voice low"
16"He laughed, a bitter sound."
17"She didn’t turn."
18"She didn’t need to."
19"She could feel the shift"
ratio0.323
29.23% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount56
totalSentences65
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 green neon sign above"
6"The man was fast, but"
7"She’d spent years chasing shadows,"
8"The suspect—Tomás Herrera, if her"
9"The Saint Christopher medallion around"
10"Quinn’s fingers twitched near her"
11"She rounded the corner just"
12"The Camden Tube station, abandoned"
13"The rain drummed against her"
14"She knew the stories—whispers of"
15"The Veil Market."
16"She’d heard the name in"
17"She descended the stairs, the"
18"The tunnel opened up before"
19"The scent of damp stone"
ratio0.862
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences65
matches(empty)
ratio0
30.08% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences38
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"A bone token, strung on a leather cord, dangled from the wrist of a vendor who eyed her with suspicion."
2"A woman in a long coat offered her a silver locket, its surface etched with symbols that made Quinn’s teeth ache."
3"Quinn cursed and gave chase, shoving past a vendor who yelped in protest."
4"The passage opened into a smaller chamber, the air thick with the scent of incense and something older, something that made the hairs on the back of her neck st…"
5"Herrera stood at the far end, his chest heaving, his scarred forearm glistening with rainwater."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount1
matches
0"he said, his voice low"
38.89% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"the woman murmured (murmur)"
dialogueSentences9
tagDensity0.333
leniency0.667
rawRatio0.333
effectiveRatio0.222
69.9522%