Run: 2026-02-20-01KHXPMDK0MMWNANGPH8FW7X43

Run Details

Duration:
31.4s
Cost:
$0.002740
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 him ahead, his dark curls plastered to his forehead, his Saint Christopher medallion glinting under the flicker of a streetlamp as he glanced back over his shoulder. His olive skin was pale in the cold, his breath ragged. He wasn’t built for running. Not like her. Quinn adjusted the worn leather watch on her left wrist, its strap damp from the rain. She didn’t need to check the time to know she was closing in. Herrera ducked into a narrow side street, his boots skidding on the wet cobblestones. Quinn followed, her pulse steady, her mind calculating. She knew these streets—had walked them a hundred times in the day, a hundred more at night. But something was off. The air smelled different here, thick with something metallic and old, like rust and wet stone. The rain seemed to fall harder, heavier, as if the sky itself was pressing down. Then she saw it. A grate in the pavement, half-hidden beneath a tangle of discarded pallets and rotting cardboard. The metal was rusted, but the hinges looked new. Herrera didn’t hesitate. He kicked the grate open with a grunt, the sound of metal scraping against stone echoing through the alley. He dropped inside without a second glance. Quinn slowed, her instincts screaming. This wasn’t right. She knew Camden’s underbelly—knew the abandoned Tube stations, the forgotten tunnels, the places where the city’s secrets festered. But this? This was something else. She crouched at the edge of the hole, peering into the darkness below. The scent of damp earth and something older, something *wrong*, wafted up. A ladder descended into blackness, the rungs slick with moisture. No light. No sound. Just the steady drip of water and the distant hum of the city above. Quinn exhaled sharply. She could call it in. Wait for backup. But backup wouldn’t get here in time. Herrera would be gone, swallowed by whatever lay beneath the streets. And she couldn’t let that happen. Not after what happened to Morris. She swung her legs over the edge, her boots finding the first rung. The metal groaned under her weight, but it held. The descent was slow, deliberate. The air grew colder with every step, her breath misting in front of her. When her feet finally touched solid ground, she paused, letting her eyes adjust. The tunnel stretched before her, its walls lined with ancient brickwork, the mortar crumbling in places. Flickering torches—*actual torches*—cast long, dancing shadows along the curved ceiling. The light revealed a series of archways, each leading deeper into the labyrinth. And beyond them, the murmur of voices. The clink of glass. The unmistakable hum of a market. Quinn’s fingers twitched toward her sidearm, but she didn’t draw it. Not yet. She moved forward, her steps silent, her senses sharp. The tunnel opened into a vast chamber, its ceiling lost in darkness. Stalls lined the space, their wares displayed under the dim glow of lanterns and candles. But these weren’t ordinary goods. Jars of swirling, iridescent liquid sat next to bundles of dried herbs that pulsed with an unnatural light. A man in a long coat haggled over a vial of something black and viscous, while a woman with too many teeth examined a necklace of what looked like *teeth*—but not human. Quinn’s stomach twisted. She’d seen things in her time on the force. Things that didn’t make sense. Things that *couldn’t* make sense. But this? This was something else entirely. She spotted Herrera ahead, weaving through the crowd. He wasn’t running now. He moved with purpose, nodding at vendors, exchanging quiet words with a few. He was known here. Trusted. Quinn kept her distance, her military bearing making her stand out among the market’s denizens. She pulled her collar up, trying to blend in, but the weight of stares pressed against her skin. A man with milky-white eyes watched her from behind a stall of what looked like *eyeballs* floating in brine. A child—if it *was* a child—with too-long limbs and a grin full of needle teeth giggled as she passed. Herrera stopped at a stall near the back, its table covered in small, intricately carved bones. The vendor, a gaunt figure with fingers like spider legs, handed him a single token—a small, yellowed bone etched with strange symbols. Herrera slipped it into his pocket and turned toward a set of stairs leading further down. Quinn’s pulse quickened. She had a choice to make. Follow him deeper into this nightmare, or retreat and call for backup—knowing full well that by the time anyone arrived, the market would be gone. Just like the last time. Just like Morris. She thought of her partner’s face the last time she’d seen him. The way his eyes had gone wide, the way his voice had cracked when he’d said, *"Quinn, something’s wrong with this one."* Then the static in her radio. The silence. She stepped forward. The stairs descended into a narrower tunnel, the air growing thicker, heavier. The sounds of the market faded behind her, replaced by the distant drip of water and the occasional scuttle of something unseen. The walls here were damp, the brickwork slick with condensation. The torchlight flickered, casting monstrous shadows that seemed to move on their own. Then she saw it. A door. Not a modern one—this was ancient, its wood blackened with age, its iron hinges rusted. A symbol was carved into its surface, something that made her eyes ache if she looked at it too long. Herrera stood in front of it, the bone token in his hand. He pressed it into a slot in the door, and the wood groaned as it swung open. Beyond it, light. Warm, golden light. And voices. Quinn pressed herself against the wall, her breath shallow. She could hear Herrera speaking, his voice low, urgent. Another voice answered—deeper, older. A voice that sent a chill down her spine. *"You’re late, Tomás."* Quinn didn’t wait to hear more. She stepped forward, her hand on her gun. The door was still open. The light spilled out, inviting. She crossed the threshold.
created_at"2026-02-20T14:18:04.268Z" 2/20/2026, 2:18:04 PM
model"mistralai/mistral-large-2512" 1/1/2512, 12:00:00 AM
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency431
moderation_latency(null)
generation_time31378
tokens_prompt914
tokens_completion1782
native_tokens_prompt840
native_tokens_completion1547
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"
usage0.0027405
router(null)
provider_responses
0
endpoint_id"fa718841-07ea-4b7e-b8a3-6069545c7e6a"
id"6e212d8b588f4b09bde4c9d05fc1523a"
is_byokfalse
latency431
model_permaslug"mistralai/mistral-large-2512" 1/1/2512, 12:00:00 AM
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771597084-eoSa1Zm5Qw5xF1mEhcVf"
upstream_id"6e212d8b588f4b09bde4c9d05fc1523a"
total_cost0.0027405
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
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences2
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
95.74% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1174
totalAiIsmAdverbs1
found
0
adverb"sharply"
count1
highlights
0"sharply"
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)
23.34% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1174
totalAiIsms18
found
0
word"scanned"
count1
1
word"glinting"
count1
2
word"flicker"
count1
3
word"pulse"
count2
4
word"calculating"
count1
5
word"echoing"
count1
6
word"weight"
count2
7
word"dancing"
count1
8
word"pulsed"
count1
9
word"stomach"
count1
10
word"etched"
count1
11
word"quickened"
count1
12
word"silence"
count1
13
word"flickered"
count1
14
word"chill"
count1
15
word"down her spine"
count1
highlights
0"scanned"
1"glinting"
2"flicker"
3"pulse"
4"calculating"
5"echoing"
6"weight"
7"dancing"
8"pulsed"
9"stomach"
10"etched"
11"quickened"
12"silence"
13"flickered"
14"chill"
15"down her spine"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"sent a shiver through"
count1
highlights
0"sent a chill down"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences113
matches
0"t in determination"
92.29% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount3
narrationSentences113
filterMatches
0"watch"
hedgeMatches
0"seemed to"
1"happened to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences114
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans9
markdownWords19
totalWords1160
ratio0.016
matches
0"The Raven’s Nest"
1"wrong"
2"actual torches"
3"teeth"
4"couldn’t"
5"eyeballs"
6"was"
7"\"Quinn, something’s wrong with this one.\""
8"\"You’re late, Tomás.\""
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
97.87% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions32
wordCount1151
uniqueNames12
maxNameDensity1.04
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
London1
Harlow1
Quinn12
Soho1
Raven1
Tomás1
Herrera9
Saint1
Christopher1
Camden1
Tube1
Morris2
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Saint"
5"Christopher"
6"Camden"
7"Morris"
places
0"London"
1"Soho"
2"Raven"
globalScore0.979
windowScore1
47.26% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences73
glossingSentenceCount3
matches
0"looked like *teeth*—but not human"
1"looked like *eyeballs* floating in brine"
2"shadows that seemed to move on their own"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1160
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences114
matches
0"let that happen"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean38.67
std27.03
cv0.699
sampleLengths
080
134
278
329
474
54
653
732
853
941
1054
1156
12104
1329
1430
1571
1654
179
1833
1942
203
2157
224
2366
248
2531
263
2714
2810
294
99.05% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences113
matches
0"was rusted"
1"was carved"
61.83% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs193
matches
0"was winning"
1"was closing"
2"was pressing"
3"wasn’t running"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount14
semicolonCount0
flaggedSentences11
totalSentences114
ratio0.096
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"She knew these streets—had walked them a hundred times in the day, a hundred more at night."
3"She knew Camden’s underbelly—knew the abandoned Tube stations, the forgotten tunnels, the places where the city’s secrets festered."
4"Flickering torches—*actual torches*—cast long, dancing shadows along the curved ceiling."
5"A man in a long coat haggled over a vial of something black and viscous, while a woman with too many teeth examined a necklace of what looked like *teeth*—but not human."
6"A child—if it *was* a child—with too-long limbs and a grin full of needle teeth giggled as she passed."
7"The vendor, a gaunt figure with fingers like spider legs, handed him a single token—a small, yellowed bone etched with strange symbols."
8"Follow him deeper into this nightmare, or retreat and call for backup—knowing full well that by the time anyone arrived, the market would be gone."
9"Not a modern one—this was ancient, its wood blackened with age, its iron hinges rusted."
10"Another voice answered—deeper, older."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1165
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.01888412017167382
lyAdverbCount5
lyAdverbRatio0.004291845493562232
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences114
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences114
mean10.18
std6.82
cv0.67
sampleLengths
015
123
218
324
421
513
613
710
86
930
1011
115
123
1316
1413
1514
168
1717
184
1916
2015
214
2215
239
243
2519
267
275
283
2918
302
314
3213
3312
3410
352
362
3714
383
395
403
417
4211
436
446
4513
469
475
4814
4913
35.96% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats16
diversityRatio0.24561403508771928
totalSentences114
uniqueOpeners28
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences104
matches
0"Then she saw it."
1"Just the steady drip of"
2"Just like the last time."
3"Just like Morris."
4"Then she saw it."
ratio0.048
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences104
matches
0"Her breath came in controlled"
1"She’d been tailing the suspect"
2"He had youth on his"
3"She could see him ahead,"
4"His olive skin was pale"
5"He wasn’t built for running."
6"She didn’t need to check"
7"She knew these streets—had walked"
8"He kicked the grate open"
9"He dropped inside without a"
10"She knew Camden’s underbelly—knew the"
11"She crouched at the edge"
12"She could call it in."
13"She swung her legs over"
14"She moved forward, her steps"
15"She’d seen things in her"
16"She spotted Herrera ahead, weaving"
17"He wasn’t running now."
18"He moved with purpose, nodding"
19"He was known here."
ratio0.269
60.96% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount83
totalSentences104
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 him ahead,"
8"His olive skin was pale"
9"He wasn’t built for running."
10"Quinn adjusted the worn leather"
11"She didn’t need to check"
12"Herrera ducked into a narrow"
13"Quinn followed, her pulse steady,"
14"She knew these streets—had walked"
15"The air smelled different here,"
16"The rain seemed to fall"
17"A grate in the pavement,"
18"The metal was rusted, but"
19"Herrera didn’t hesitate."
ratio0.798
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences104
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences53
technicalSentenceCount2
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 torchlight flickered, casting monstrous shadows that seemed to move on their own."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
83.8103%