Run: 2026-02-20-01KHYA7GB4HY1B8VC3E4SXBWEE

Run Details

Duration:
11.2s
Cost:
$0.000445
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 fell in sheets, turning the cobbled streets of Soho into a slick, reflective mirror. Harlow Quinn’s boots splashed through puddles as she pressed forward, her breath steady despite the adrenaline. The suspect—a wiry man in a long coat—had vanished into the labyrinth of alleys behind The Raven’s Nest, but she knew these streets like the back of her hand. Eighteen years on the force had taught her that desperation left tracks, even in the dark. She ducked beneath the awning of a shuttered boutique, peeling off her soaked jacket to wring out the water. The suspect had turned left, toward the old Tube station entrance, half-hidden behind a rusted metal gate. Quinn’s fingers twitched toward the holster at her side, but she didn’t draw. Not yet. The man was armed—she’d seen the glint of something metallic in his hand before he bolted—but she wasn’t about to walk into an ambush. Not again. A flicker of movement caught her eye. A figure in a dark hooded cloak emerged from the shadows, blocking the path ahead. Quinn’s pulse spiked. *Another one?* She’d already radioed for backup, but the response time in this part of the city was always slow. The hooded figure raised a hand, palm out—not in threat, but in warning. “You don’t want to go down there,” the voice was low, accented. Spanish, maybe. “Not alone.” Quinn’s jaw tightened. “Who the hell are you?” The figure stepped forward, the hood falling back just enough to reveal warm brown eyes and the faint scar running along a forearm. A Saint Christopher medallion glinted in the dim light. “Tomás Herrera. And you’re Detective Quinn, if I’m not mistaken.” She didn’t lower her guard. “You know me?” “Everyone knows you, *detective*.” The way he said it—like it was both a title and a warning. “You’re asking questions about the wrong people.” Quinn’s grip tightened on her jacket. “I don’t take orders from strangers.” “Neither do I.” He gestured toward the rusted gate. “But that man you’re chasing? He’s not just some thief. He’s connected to things you don’t understand.” A distant scream echoed from the underground. Quinn’s instincts screamed at her to move, but she hesitated. “What things?” Tomás exhaled sharply. “The kind that don’t play by your rules.” She should’ve turned back. Should’ve waited for backup. But the rain was coming down harder now, and the suspect was slipping away, deeper into the city’s underbelly. Quinn adjusted her watch—the one she’d worn since Morris’s last case, the one she’d sworn she’d never lose again—and made her decision. “Show me the way,” she said. Tomás didn’t argue. He turned and led her toward the gate, where a jagged bone token lay half-buried in the mud. Quinn’s stomach twisted. She’d seen these before—in evidence photos, in whispers from informants. They weren’t just bones. They were keys. The moment she stepped through the gate, the world shifted. The air was thick with the scent of damp earth and something metallic, like old blood. The flickering neon sign of The Raven’s Nest above them was just a memory now, replaced by the eerie glow of bioluminescent fungi clinging to the walls of the abandoned Tube station. The platform stretched ahead, but the tracks were gone, replaced by stalls draped in black fabric. The Veil Market. A woman with too many teeth smiled at them from behind a table laden with jars of swirling liquids. A man with eyes like polished obsidian watched from the shadows, his fingers tracing the edge of a knife. Quinn’s hand hovered near her holster, but she didn’t draw. Not yet. Tomás moved ahead, his voice barely audible over the murmur of the crowd. “Stay close.” She followed, her boots silent on the damp stone. The market was a maze of whispers and deals, of things bought and sold that didn’t exist in the light. A man in a tailored suit haggled over a vial of something that pulsed like a heartbeat. A woman with silver hair offered a deck of cards that shifted when she wasn’t looking. Quinn’s skin prickled. Then she saw him. The suspect. He was standing near the back of the market, his back to them, engaged in a hushed conversation with a figure cloaked in shadow. Quinn’s fingers twitched. She could take him now. Drag him out of here, back into the rain-soaked streets where the rules still made sense. But then the cloaked figure turned. And Quinn’s breath caught. The face was wrong. Too smooth. Too *old*. The skin stretched too tight over the bones, the eyes hollow and endless. The suspect’s voice rose, desperate, as the thing—*creature*—leaned in closer. Tomás’s grip on her arm was iron. “Don’t.” Quinn’s mind raced. She’d seen this before. In her nightmares, in the files she’d buried. The things that didn’t play by her rules. The suspect stumbled back, his face pale. “I—I didn’t—” The creature lunged. Quinn didn’t think. She drew her service weapon and fired. The shot echoed through the market, the sound swallowed by the chaos that erupted. Stalls collapsed. Figures screamed. The creature hissed, recoiling, but it wasn’t human anymore—just a blur of movement, slipping between the shadows. Tomás cursed, shoving her behind him. “You just made this worse.” Quinn’s hands shook, but her voice was steady. “He was going to kill him.” “And now they’ll come for *you*.” A horn blared in the distance. Backup. Real police. Real rules. Quinn looked at the suspect, now cowering against the wall, blood trickling from his lip. She could arrest him. Drag him out of here, back to the surface where the law still mattered. But then she looked at Tomás, at the way his fingers dug into his medallion, at the fear in his eyes. She holstered her weapon. “Run,” she said. Tomás didn’t argue. He grabbed her hand and pulled her into the crowd, deeper into the market, away from the light, away from the rules. And for the first time in years, Harlow Quinn had no idea which way was up.
created_at"2026-02-20T20:00:32.622Z" 2/20/2026, 8:00:32 PM
model"mistralai/ministral-14b-2512"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency394
moderation_latency(null)
generation_time10723
tokens_prompt914
tokens_completion1625
native_tokens_prompt840
native_tokens_completion1384
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached320
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"
usage0.0004448
router(null)
provider_responses
0
endpoint_id"0b53717b-9af5-4de3-80af-ebedd2adf981"
id"7e8b7dc130e847d3b2fbcff8c730cb33"
is_byokfalse
latency394
model_permaslug"mistralai/ministral-14b-2512"
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771617632-FNUMxzuMnBZKSSopcOR8"
upstream_id"7e8b7dc130e847d3b2fbcff8c730cb33"
total_cost0.0004448
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
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences20
tagDensity0.2
leniency0.4
rawRatio0
effectiveRatio0
95.09% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1019
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)
55.84% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1019
totalAiIsms9
found
0
word"glint"
count1
1
word"flicker"
count1
2
word"pulse"
count1
3
word"echoed"
count2
4
word"stomach"
count1
5
word"tracing"
count1
6
word"pulsed"
count1
7
word"raced"
count1
highlights
0"glint"
1"flicker"
2"pulse"
3"echoed"
4"stomach"
5"tracing"
6"pulsed"
7"raced"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"air was thick with"
count1
highlights
0"The air was thick with"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences94
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences94
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences109
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans5
markdownWords6
totalWords1008
ratio0.006
matches
0"Another one?"
1"detective"
2"old"
3"creature"
4"you"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
56.28% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions39
wordCount907
uniqueNames13
maxNameDensity1.87
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Soho1
Quinn17
Raven2
Nest2
Tube2
Spanish1
Saint1
Christopher1
Morris1
Tomás7
Veil1
Market1
Harlow2
persons
0"Quinn"
1"Raven"
2"Saint"
3"Christopher"
4"Morris"
5"Tomás"
6"Harlow"
places
0"Soho"
1"Market"
globalScore0.563
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences55
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.992
wordCount1008
matches
0"not in threat, but in warning"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences109
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs42
mean24
std21.25
cv0.885
sampleLengths
077
177
258
316
48
542
68
724
812
926
1019
1111
1249
136
1441
1510
1667
1750
1815
1965
204
212
2248
236
244
2531
268
2723
289
293
3010
3135
3211
3314
346
3511
3633
3721
384
393
4025
4116
97.80% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences94
matches
0"was armed"
1"were gone"
31.22% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs158
matches
0"was coming was slipping"
1"wasn’t looking"
2"was standing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount12
semicolonCount0
flaggedSentences8
totalSentences109
ratio0.073
matches
0"The suspect—a wiry man in a long coat—had vanished into the labyrinth of alleys behind The Raven’s Nest, but she knew these streets like the back of her hand."
1"The man was armed—she’d seen the glint of something metallic in his hand before he bolted—but she wasn’t about to walk into an ambush."
2"The hooded figure raised a hand, palm out—not in threat, but in warning."
3"“Everyone knows you, *detective*.” The way he said it—like it was both a title and a warning."
4"Quinn adjusted her watch—the one she’d worn since Morris’s last case, the one she’d sworn she’d never lose again—and made her decision."
5"She’d seen these before—in evidence photos, in whispers from informants."
6"The suspect’s voice rose, desperate, as the thing—*creature*—leaned in closer."
7"The creature hissed, recoiling, but it wasn’t human anymore—just a blur of movement, slipping between the shadows."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount918
adjectiveStacks0
stackExamples(empty)
adverbCount26
adverbRatio0.02832244008714597
lyAdverbCount3
lyAdverbRatio0.0032679738562091504
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences109
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences109
mean9.25
std7.09
cv0.767
sampleLengths
016
116
229
316
419
517
613
72
824
92
107
1115
123
1320
1413
1512
162
172
183
195
2023
219
2210
235
243
2517
267
276
286
299
3017
317
3210
332
343
358
364
374
3819
3922
406
413
4218
433
4410
454
463
4710
4816
4932
39.45% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.30275229357798167
totalSentences109
uniqueOpeners33
41.67% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences80
matches
0"Then she saw him."
ratio0.013
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount16
totalSentences80
matches
0"She ducked beneath the awning"
1"She didn’t lower her guard."
2"He gestured toward the rusted"
3"She should’ve turned back."
4"He turned and led her"
5"She’d seen these before—in evidence"
6"They weren’t just bones."
7"They were keys."
8"She followed, her boots silent"
9"He was standing near the"
10"She could take him now."
11"She’d seen this before."
12"She drew her service weapon"
13"She could arrest him."
14"She holstered her weapon."
15"He grabbed her hand and"
ratio0.2
28.75% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount69
totalSentences80
matches
0"The rain fell in sheets,"
1"Harlow Quinn’s boots splashed through"
2"The suspect—a wiry man in"
3"She ducked beneath the awning"
4"The suspect had turned left,"
5"Quinn’s fingers twitched toward the"
6"The man was armed—she’d seen"
7"A flicker of movement caught"
8"A figure in a dark"
9"Quinn’s pulse spiked."
10"*Another one?* She’d already radioed"
11"The hooded figure raised a"
12"the voice was low, accented"
13"Quinn’s jaw tightened."
14"The figure stepped forward, the"
15"A Saint Christopher medallion glinted"
16"She didn’t lower her guard."
17"The way he said it—like"
18"Quinn’s grip tightened on her"
19"He gestured toward the rusted"
ratio0.863
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences80
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences39
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences20
tagDensity0.15
leniency0.3
rawRatio0
effectiveRatio0
81.5368%