Run: 2026-03-18-01KM088GRZ98MQWMT7QX5ZT54P

Run Details

Duration:
11.9s
Cost:
$0.000888
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, cold and relentless, turning the neon glow of Soho into smeared smears of colour bleeding into the wet pavement. Detective Harlow Quinn kept her stride even, boots splashing through puddles that reflected the flickering signs like broken mirrors. Her leather watch, worn at the wrist, pressed against her pulse as she moved—steady, unrelenting. She didn’t need a compass; her instincts were sharper than any tool. Tomás Herrera had led her here. She was sure of it. Not intentionally, not by choice—he’d been spotted outside the Raven’s Nest by a beat officer who recognised him from a missing persons file. When the patrol cop radioed for backup, Tomás had bolted into the labyrinth of Soho’s alleys instead of responding to the call. Quinn didn’t blame him. She’d seen the scar on his arm through his rolled sleeve—a souvenir of violence, maybe the same kind they were all tangled in. She reached the corner of Greek Street, panting lightly, her sharp jaw set with quiet focus. Tomás was faster than she expected for someone who claimed to be out of the game. He wove between pedestrians clutching umbrellas, moving with the urgency of a man who knew he was being hunted. Quinn ducked under the skeletal remains of a market awning, its rusted frame groaning in the wind. Her coat, tailored for practicality, hugged her frame but did little to ward off the chill. She pulled her radio from her belt. “All units near Soho, priority suspect in foot pursuit. Heading east on Old Compton Street. Description: olive skin, curly brown hair, wearing a denim jacket. Possible injury to left arm—” Static hissed back. No response. Not surprising. Night shift in Soho didn’t always answer when they weren’t supposed to. A shadow darted past the entrance of the Raven’s Nest—green neon glinting off wet cobblestones. Her boots hit the pavement again. She didn’t shout. A shout would draw eyes. She didn’t need witnesses. She needed the truth. The chase plunged deeper into the heart of Soho. The air reeked of fried food and damp wood. Neon signs flickered: Chinese restaurants, a vinyl shop, a boarded-up theatre. Tomás veered left into an alley so narrow the buildings seemed to lean in, whispering secrets. Quinn followed, fingers brushing the worn grip of her sidearm. Then—he was gone. Quinn skidded to a halt, scanning the alley. Bricks, grime, a fire escape sagging under the weight of rust. No movement. No sound. She stepped forward, heel grinding into something brittle—broken glass. A shard sparkled under the dim glow of a bulb dangling from a frayed wire. Her pulse thrummed in her ears. She pressed her back against the damp brick and exhaled through her nose. Think. He didn’t vanish. He moved through something she couldn’t see. Quinn’s eye caught a faint discontinuity in the wall—a seam of shadow too deep, too perfect. Like a breath held too long. She reached out. Her fingers met resistance—not brick, but something colder, denser. A door. Hidden. Sealed behind glamour or illusion. She exhaled, then pushed. The world tore open. The air changed—thicker, warm, saturated with the scent of spices and something older, metallic. Her boots touched down on stone worn smooth by centuries. She stood in a cavernous space, a forgotten Tube station, if her memory served. The ceiling arched overhead, ribs of iron and plaster. The walls were embedded with stalls of blackened wood, their surfaces glowing softly with enchanted lights—amber, emerald, the colour of old bruises. The Veil Market. Quinn’s stomach tightened. She knew the legends—supernatural black market beneath London, moving every full moon to escape detection. How did Tomás know this place? And why was he running toward it, not away? She stepped forward, hand resting on her sidearm. The market hummed with quiet energy. Traders in hooded cloaks, faces obscured, bartered in low tones. A stall displayed glass vials pulsing with liquid light. Another sold charms that chimed like wind chimes though there was no breeze. A woman with iridescent tattoos sipped tea from a cracked cup, watching Quinn with eyes too knowing. Quinn kept moving. She didn’t stop to look. Every second counted. Then she saw him—Tomás, weaving through the crowd, his Saint Christopher medallion swinging against his chest as he moved urgently toward a bookshelf-lined alcove. She followed, heart steadying. She had him. For the first time in three years, she was about to catch the man who might hold the key to Morris’s death. She closed the distance. Ten feet. Five. A figure stepped from the shadows—a man with a face like carved bone and eyes like polished obsidian. He didn’t speak. He simply stared. Quinn didn’t break stride. Her hand drifted toward her pistol. Then Tomás was through the bookshelf. It swung shut behind him with a soft thud. Quinn lunged. She shoved the books out of the way, pushed the shelf. Nothing. Solid oak. No gap, no hinge visible. Only the faintest scent of candle wax and old parchment. The obsidian-eyed man tilted his head. “Not tonight, Detective.” She locked eyes with him. “He went in there.” The man smiled, teeth too white, too perfect. “And you won’t come out the same.” Quinn drew her firearm in one fluid motion. The market stilled. The traders froze. Even the lights dimmed. She fired—not at the man, but at the bookshelf. The bullet struck centre mass. Wood splintered. A deep, resonant *crash* echoed through the hall as if the shelf connected to something vast and ancient. The entry didn’t open. But the world behind it shimmered. And Morris’s voice whispered from the dark. “Quinn… don’t come in.”
created_at"2026-03-18T10:36:01.197Z" 3/18/2026, 10:36:01 AM
model"mistralai/mistral-small-2603" 1/1/2603, 12:00:00 AM
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency451
moderation_latency(null)
generation_time11756
tokens_prompt914
tokens_completion1506
native_tokens_prompt852
native_tokens_completion1296
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached128
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"
usage0.00088812
router(null)
provider_responses
0
endpoint_id"f5ed6283-4e17-457d-98cd-2ec0c318171d"
id"4dd00cc752fc427e9f5dec142c926baf"
is_byokfalse
latency449
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-1773830161-Yr6fxEGtaEYWBfqXRzec"
upstream_id"4dd00cc752fc427e9f5dec142c926baf"
total_cost0.00088812
cache_discount0.00001728
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
totalTags0
89.53% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount955
totalAiIsmAdverbs2
found
0
adverb"lightly"
count1
1
adverb"softly"
count1
highlights
0"lightly"
1"softly"
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)
37.17% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount955
totalAiIsms12
found
0
word"pulse"
count2
1
word"chill"
count1
2
word"glinting"
count1
3
word"flickered"
count1
4
word"scanning"
count1
5
word"weight"
count1
6
word"perfect"
count2
7
word"stomach"
count1
8
word"echoed"
count1
9
word"shimmered"
count1
highlights
0"pulse"
1"chill"
2"glinting"
3"flickered"
4"scanning"
5"weight"
6"perfect"
7"stomach"
8"echoed"
9"shimmered"
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
emotionTells0
narrationSentences105
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences105
filterMatches
0"watch"
1"know"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences110
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen30
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords941
ratio0.001
matches
0"crash"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
82.81% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions40
wordCount893
uniqueNames17
maxNameDensity1.34
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Soho4
Harlow1
Quinn12
Herrera1
Raven2
Nest2
Tomás7
Greek1
Street1
Chinese1
Tube1
Veil1
Market1
London1
Saint1
Christopher1
Morris2
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Raven"
4"Tomás"
5"Market"
6"Saint"
7"Christopher"
8"Morris"
places
0"Soho"
1"Greek"
2"Street"
3"London"
globalScore0.828
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences61
glossingSentenceCount0
matches(empty)
0.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords2.125
wordCount941
matches
0"not brick, but something colder, denser"
1"not at the man, but at the bookshelf"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences110
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs34
mean27.68
std23.97
cv0.866
sampleLengths
071
183
251
370
419
537
655
73
847
96
1024
1142
124
134
1469
153
1633
1763
1811
1953
207
2134
2215
232
2429
259
269
2715
2818
299
3029
316
327
334
91.90% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences105
matches
0"been spotted"
1"being hunted"
2"was gone"
3"were embedded"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs162
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount14
semicolonCount1
flaggedSentences15
totalSentences110
ratio0.136
matches
0"Her leather watch, worn at the wrist, pressed against her pulse as she moved—steady, unrelenting."
1"She didn’t need a compass; her instincts were sharper than any tool."
2"Not intentionally, not by choice—he’d been spotted outside the Raven’s Nest by a beat officer who recognised him from a missing persons file."
3"She’d seen the scar on his arm through his rolled sleeve—a souvenir of violence, maybe the same kind they were all tangled in."
4"A shadow darted past the entrance of the Raven’s Nest—green neon glinting off wet cobblestones."
5"Then—he was gone."
6"She stepped forward, heel grinding into something brittle—broken glass."
7"Quinn’s eye caught a faint discontinuity in the wall—a seam of shadow too deep, too perfect."
8"Her fingers met resistance—not brick, but something colder, denser."
9"The air changed—thicker, warm, saturated with the scent of spices and something older, metallic."
10"The walls were embedded with stalls of blackened wood, their surfaces glowing softly with enchanted lights—amber, emerald, the colour of old bruises."
11"She knew the legends—supernatural black market beneath London, moving every full moon to escape detection."
12"Then she saw him—Tomás, weaving through the crowd, his Saint Christopher medallion swinging against his chest as he moved urgently toward a bookshelf-lined alcove."
13"A figure stepped from the shadows—a man with a face like carved bone and eyes like polished obsidian."
14"She fired—not at the man, but at the bookshelf."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount910
adjectiveStacks0
stackExamples(empty)
adverbCount27
adverbRatio0.02967032967032967
lyAdverbCount6
lyAdverbRatio0.006593406593406593
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences110
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences110
mean8.55
std6.43
cv0.752
sampleLengths
025
119
215
312
46
55
623
722
84
923
1016
1116
1219
1317
1416
157
1630
173
182
192
2012
2115
226
233
245
254
264
279
289
2911
3016
3110
323
338
3411
352
362
379
3815
396
4013
411
423
437
4416
456
463
479
482
491
44.55% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.32727272727272727
totalSentences110
uniqueOpeners36
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences92
matches
0"Then—he was gone."
1"Then she saw him—Tomás, weaving"
2"Then Tomás was through the"
3"Only the faintest scent of"
4"Even the lights dimmed."
ratio0.054
67.83% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount35
totalSentences92
matches
0"Her leather watch, worn at"
1"She didn’t need a compass;"
2"She was sure of it."
3"She’d seen the scar on"
4"She reached the corner of"
5"He wove between pedestrians clutching"
6"Her coat, tailored for practicality,"
7"She pulled her radio from"
8"Her boots hit the pavement"
9"She didn’t shout."
10"She didn’t need witnesses."
11"She needed the truth."
12"She stepped forward, heel grinding"
13"Her pulse thrummed in her"
14"She pressed her back against"
15"He didn’t vanish."
16"He moved through something she"
17"She reached out."
18"Her fingers met resistance—not brick,"
19"She exhaled, then pushed."
ratio0.38
41.52% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount77
totalSentences92
matches
0"The rain came down in"
1"Detective Harlow Quinn kept her"
2"Her leather watch, worn at"
3"She didn’t need a compass;"
4"Tomás Herrera had led her"
5"She was sure of it."
6"Quinn didn’t blame him."
7"She’d seen the scar on"
8"She reached the corner of"
9"Tomás was faster than she"
10"He wove between pedestrians clutching"
11"Quinn ducked under the skeletal"
12"Her coat, tailored for practicality,"
13"She pulled her radio from"
14"Static hissed back."
15"Night shift in Soho didn’t"
16"A shadow darted past the"
17"Her boots hit the pavement"
18"She didn’t shout."
19"A shout would draw eyes."
ratio0.837
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences92
matches(empty)
ratio0
67.67% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences38
technicalSentenceCount4
matches
0"Detective Harlow Quinn kept her stride even, boots splashing through puddles that reflected the flickering signs like broken mirrors."
1"Not intentionally, not by choice—he’d been spotted outside the Raven’s Nest by a beat officer who recognised him from a missing persons file."
2"He wove between pedestrians clutching umbrellas, moving with the urgency of a man who knew he was being hunted."
3"A deep, resonant *crash* echoed through the hall as if the shelf connected to something vast and ancient."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
80.7657%