Run: 2026-03-18-01KM088K8HE10780GN99KTZSTF

Run Details

Duration:
15.4s
Cost:
$0.001110
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 streets slick and reflective under the flicker of neon signs. Detective Harlow Quinn moved with the quiet precision of someone who trusted muscle memory over thought—her black coat slicked to her frame, her leather watch catching the occasional glint of streetlamp glow. Her breath came steady, measured, not rushed. The suspect—a slender figure in a dark peacoat—had darted down a narrow alley off Shaftesbury Avenue, slipping between the shadows with the kind of ease that made Harlow’s instincts prickle. She’d been tailing Tomás Herrera for three days now, ever since an informant whispered that he was funneling medical supplies off the books to someone connected to the same underground outfit that had left DS Morris six feet under in a back alley with no record of a struggle, no witnesses, nothing but the faintest scent of burnt copper clinging to his jacket. The kind of thing forensic couldn’t place. The kind that kept Harlow up at night. Herrera was quick, but she was disciplined. She goed low as he cut left through a huddle of smokers outside a pub, her shoes splashing through puddles, her left hand brushing the holster at her hip. The rain masked the sound of her approach, but she didn’t rely on silence—she relied on inevitability. He wouldn’t get away. Not this time. She cornered him at the mouth of the alley, her flashlight cutting through the gloom, catching the edge of his profile—olive skin, dark curls plastered to his forehead, a Saint Christopher medallion glinting at his throat. He wasn’t panting. Not even breathing hard. “Tomás Herrera,” she said, voice like gravel. “Detective Harlow Quinn. You’re coming downtown.” He turned slowly, hands raised slightly, palms open—not in surrender, but in calculation. “Detective,” he said, lips curving into something almost amused. “You’re wet.” She didn’t blink. “You’re obstructing a murder investigation.” He let out a low laugh, shaking his head. “I’m a paramedic. I save lives. What murder?” “You know damn well.” She stepped closer, the rain hissing between them. “I’ve got a dead officer in the morgue with the same signature. No blood, no wound—just empty veins and a man who looked like he’d been drained. Like something hungrier than a junkie wanted a taste.” Herrera’s fingers twitched toward the medallion. “You’re jumping at shadows.” “The hell I am. I’ve got a timeline. I’ve got a pattern. And now I’ve got you running like a rat.” She tapped her watch. “Statute of limitations on obstruction starts now.” He exhaled through his nose, rainwater dripping from his chin. “Look, if you’re talking about supply runs to—” A shout echoed from deeper in the alley. A woman’s voice, high and panicked. “¡Tommy! ¡Se fue! ¡Corre!” Run. He’s gone. Run. Herrera’s face darkened instantly. His instincts didn’t lie. Not like this. Harlow’s radio crackled in her coat. A static burst, then a panicked breath: “Quinn, we’ve got a body on Berwick. Looks fresh. Bleeding out from the wrists. No pulse. No prints.” She barely heard the last transmission. Herrera was already moving—past her, into the dark mouth of the alley, his boots splashing through the runoff, his medallion swinging under his soaked collar. Harlow made a split-second decision. She keyed her radio. “Uniform on standby at Shaftesbury. I’m going deep.” She didn’t wait for acknowledgment. She lunged after him, boots pounding the wet pavement, rain lashing her face like a thousand tiny whips. The alley twisted, narrowed, exhaled into a rust-stained fire escape. Herrera was already climbing, nimble as a cat. Harlow cursed under her breath and followed, her leg muscles burning, the strap of her bag digging into her shoulder. The escape disgorged them onto a rooftop slick with rain, the city sprawling beneath them like a map of forgotten sins. Herrera was at the far edge, hesitating—not looking at the drop, but at the skyline. She could see the tension in his jaw, the way his fingers curled around the medallion. “Where the hell are we going?” she demanded, wind whipping her hair into her eyes. “Somewhere we’re not followed,” he said. “Somewhere I can’t outrun you.” “Good.” She drew her weapon. “You’re under arrest.” He turned, eyes wide with something between fury and fear. “Then you’d better shoot. Because I’m not stopping. And if you fire, the whole Nest goes on lockdown.” Harlow’s blood ran cold at the name. *The Raven’s Nest.* A bar. A den. A place whispered about in corners of Soho, where the desperate and the damned mixed drinks and secrets. Herrera saw her hesitation. “Silas keeps a back room,” he said, voice low. “For people like you. People who don’t ask questions. But they do ask about *her.* The detective who won’t let go.” Harlow’s finger tightened on the trigger. “Who’s ‘her’?” “Your partner.” Silence stretched between them, charged with something thicker than rain. The kind of silence that carried ghosts. Then—footsteps on the fire escape below. Herrera didn’t wait. He dove. Harlow lunged forward and saw him vanish—not over the edge, but through a crack in reality, a seam in the air that peeled back like wet paper, revealing darkness beyond. She skidded to the edge and stared into an abyss of flickering torchlight, the scent of old books and damp stone rising from below. The Underground. Not the Tube. Not the broken tunnels of the old network. Something older. Something *else.* Herrera’s voice came from the dark, distorted, as if speaking from far away. “You can shoot me. But you’ll never find the Market. Not without me. And you *know* you want in.” Harlow lowered her weapon. She’d spent eighteen years chasing the truth. Now it was whispering to her from a hole in the world. She holstered her gun and leapt. The drop was only six feet, but it stretched. The air changed—thicker, warmer, laced with smoke and iron. She landed hard on a cobblestone path, the rain cut off as if by a veil. Above her, the fire escape vanished. The rooftop was gone. She was no longer in London. She was underground. In more ways than one. Torches flickered in iron sconces along brick walls slick with condensation. The floor was uneven, worn by centuries of unseen feet. In the distance, stalls glowed with eerie light—bottles of swirling liquid, jars of teeth, skulls with candles in their sockets. The *Veil Market.* Herrera stood a dozen paces away, watching her with something like dark satisfaction. “Told you you’d come.” She adjusted her grip on her service belt, her jaw tight. “You’re not under arrest. Not yet.” “Kind of you.” A figure emerged from the shadows—a woman with silver-streaked hair, eyes like polished obsidian, draped in a long coat of black feathers. She moved with the grace of something not entirely human. “The detective,” the woman said, voice like wind through dead leaves. “We’ve been expecting you.” Harlow didn’t lower her guard. But her pulse hammered in her throat. This wasn’t a chase anymore. It was a descent. And the real hunt had just begun.
created_at"2026-03-18T10:36:03.743Z" 3/18/2026, 10:36:03 AM
model"mistralai/mistral-small-2603" 1/1/2603, 12:00:00 AM
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency412
moderation_latency(null)
generation_time15130
tokens_prompt914
tokens_completion1945
native_tokens_prompt852
native_tokens_completion1663
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached112
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"
usage0.00111048
router(null)
provider_responses
0
endpoint_id"f5ed6283-4e17-457d-98cd-2ec0c318171d"
id"81abcc4776ba49fd8711cac9e976a081"
is_byokfalse
latency412
model_permaslug"mistralai/mistral-small-2603" 1/1/2603, 12:00:00 AM
provider_name"Mistral"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773830163-shdRoZtSV5ESjpOAzPEU"
upstream_id"81abcc4776ba49fd8711cac9e976a081"
total_cost0.00111048
cache_discount0.00001512
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
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences31
tagDensity0.29
leniency0.581
rawRatio0
effectiveRatio0
91.59% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1189
totalAiIsmAdverbs2
found
0
adverb"slowly"
count1
1
adverb"slightly"
count1
highlights
0"slowly"
1"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)
32.72% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1189
totalAiIsms16
found
0
word"flicker"
count1
1
word"glint"
count1
2
word"measured"
count1
3
word"silence"
count3
4
word"gloom"
count1
5
word"glinting"
count1
6
word"echoed"
count1
7
word"pulse"
count2
8
word"pounding"
count1
9
word"tension"
count1
10
word"charged"
count1
11
word"footsteps"
count1
12
word"flickered"
count1
highlights
0"flicker"
1"glint"
2"measured"
3"silence"
4"gloom"
5"glinting"
6"echoed"
7"pulse"
8"pounding"
9"tension"
10"charged"
11"footsteps"
12"flickered"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"blood ran cold"
count1
highlights
0"blood ran cold"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences96
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences96
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences116
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen63
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans5
markdownWords8
totalWords1175
ratio0.007
matches
0"The Raven’s Nest."
1"her."
2"else."
3"know"
4"Veil Market."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions34
wordCount936
uniqueNames14
maxNameDensity1.18
worstName"Harlow"
maxWindowNameDensity2.5
worstWindowName"Herrera"
discoveredNames
Harlow11
Quinn1
Shaftesbury1
Avenue1
Tomás1
Herrera11
Morris1
Saint1
Christopher1
Raven1
Soho1
Underground1
Tube1
London1
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Morris"
5"Saint"
6"Christopher"
7"Raven"
places
0"Shaftesbury"
1"Avenue"
2"Soho"
3"London"
globalScore0.912
windowScore0.833
25.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences60
glossingSentenceCount3
matches
0"something between fury and fear"
1"as if speaking from far away"
2"something like dark satisfaction"
0.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches3
per1kWords2.553
wordCount1175
matches
0"not in surrender, but in calculation"
1"not looking at the drop, but at the skyline"
2"not over the edge, but through a crack in reality, a seam in the air"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences116
matches
0"whispered that he"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs55
mean21.36
std19.15
cv0.897
sampleLengths
087
178
260
343
413
524
68
717
848
910
1032
1118
1222
1311
1431
156
1625
1717
1833
1949
2031
2115
2211
238
2428
2532
264
2730
288
292
3017
316
325
3354
342
3511
362
372
3832
394
4019
416
4250
438
4441
453
4617
4717
483
4932
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences96
matches
0"was gone"
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs154
matches
0"was funneling"
1"wasn’t panting"
2"was already moving"
3"was already climbing"
4"was whispering"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount13
semicolonCount0
flaggedSentences12
totalSentences116
ratio0.103
matches
0"Detective Harlow Quinn moved with the quiet precision of someone who trusted muscle memory over thought—her black coat slicked to her frame, her leather watch catching the occasional glint of streetlamp glow."
1"The suspect—a slender figure in a dark peacoat—had darted down a narrow alley off Shaftesbury Avenue, slipping between the shadows with the kind of ease that made Harlow’s instincts prickle."
2"The rain masked the sound of her approach, but she didn’t rely on silence—she relied on inevitability."
3"She cornered him at the mouth of the alley, her flashlight cutting through the gloom, catching the edge of his profile—olive skin, dark curls plastered to his forehead, a Saint Christopher medallion glinting at his throat."
4"He turned slowly, hands raised slightly, palms open—not in surrender, but in calculation."
5"Herrera was already moving—past her, into the dark mouth of the alley, his boots splashing through the runoff, his medallion swinging under his soaked collar."
6"Herrera was at the far edge, hesitating—not looking at the drop, but at the skyline."
7"Then—footsteps on the fire escape below."
8"Harlow lunged forward and saw him vanish—not over the edge, but through a crack in reality, a seam in the air that peeled back like wet paper, revealing darkness beyond."
9"The air changed—thicker, warmer, laced with smoke and iron."
10"In the distance, stalls glowed with eerie light—bottles of swirling liquid, jars of teeth, skulls with candles in their sockets."
11"A figure emerged from the shadows—a woman with silver-streaked hair, eyes like polished obsidian, draped in a long coat of black feathers."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount952
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.023109243697478993
lyAdverbCount7
lyAdverbRatio0.007352941176470588
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences116
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences116
mean10.13
std9.26
cv0.914
sampleLengths
018
132
27
330
463
57
68
77
829
917
104
113
1236
133
144
157
166
1713
189
192
203
215
229
238
2412
2536
266
274
2825
297
3010
318
328
336
345
352
361
374
384
393
406
4125
426
4325
445
454
468
475
4818
4910
48.28% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.33620689655172414
totalSentences116
uniqueOpeners39
38.31% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences87
matches
0"Then—footsteps on the fire escape"
ratio0.011
68.28% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences87
matches
0"Her breath came steady, measured,"
1"She’d been tailing Tomás Herrera"
2"She goed low as he"
3"He wouldn’t get away."
4"She cornered him at the"
5"He wasn’t panting."
6"she said, voice like gravel"
7"He turned slowly, hands raised"
8"he said, lips curving into"
9"She didn’t blink."
10"He let out a low"
11"She stepped closer, the rain"
12"She tapped her watch"
13"He exhaled through his nose,"
14"His instincts didn’t lie."
15"She barely heard the last"
16"She keyed her radio."
17"She didn’t wait for acknowledgment."
18"She lunged after him, boots"
19"She could see the tension"
ratio0.379
28.97% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount75
totalSentences87
matches
0"The rain came down in"
1"Detective Harlow Quinn moved with"
2"Her breath came steady, measured,"
3"The suspect—a slender figure in"
4"She’d been tailing Tomás Herrera"
5"The kind of thing forensic"
6"The kind that kept Harlow"
7"Herrera was quick, but she"
8"She goed low as he"
9"The rain masked the sound"
10"He wouldn’t get away."
11"She cornered him at the"
12"He wasn’t panting."
13"she said, voice like gravel"
14"He turned slowly, hands raised"
15"he said, lips curving into"
16"She didn’t blink."
17"He let out a low"
18"She stepped closer, the rain"
19"Herrera’s fingers twitched toward the"
ratio0.862
57.47% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences87
matches
0"Now it was whispering to"
ratio0.011
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences32
technicalSentenceCount9
matches
0"Detective Harlow Quinn moved with the quiet precision of someone who trusted muscle memory over thought—her black coat slicked to her frame, her leather watch c…"
1"The suspect—a slender figure in a dark peacoat—had darted down a narrow alley off Shaftesbury Avenue, slipping between the shadows with the kind of ease that ma…"
2"She’d been tailing Tomás Herrera for three days now, ever since an informant whispered that he was funneling medical supplies off the books to someone connected…"
3"She goed low as he cut left through a huddle of smokers outside a pub, her shoes splashing through puddles, her left hand brushing the holster at her hip."
4"She cornered him at the mouth of the alley, her flashlight cutting through the gloom, catching the edge of his profile—olive skin, dark curls plastered to his f…"
5"Herrera was already moving—past her, into the dark mouth of the alley, his boots splashing through the runoff, his medallion swinging under his soaked collar."
6"Harlow cursed under her breath and followed, her leg muscles burning, the strap of her bag digging into her shoulder."
7"Harlow lunged forward and saw him vanish—not over the edge, but through a crack in reality, a seam in the air that peeled back like wet paper, revealing darknes…"
8"Herrera’s voice came from the dark, distorted, as if speaking from far away."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount3
matches
0"he said, lips curving into something almost amused"
1"She stepped, the rain hissing between them"
2"he said, voice low"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount1
fancyTags
0"she demanded (demand)"
dialogueSentences31
tagDensity0.194
leniency0.387
rawRatio0.167
effectiveRatio0.065
69.1314%