Run: 2026-02-19-01KHTX1T9XRS6YKZR8AQSCKAD8

Run Details

Duration:
8.0s
Cost:
$0.000530
Provider:
Mistral

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <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> Continue the story using the following instructions: <instructions> 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. </instructions>

Model response

AI
The rain hammered down like a thousand tiny fists, turning the Soho pavement into a slick, black mirror. Harlow Quinn’s boots splashed through puddles deep enough to soak her socks, but she didn’t slow. The suspect—lean, wiry, moving like a rat with a firecracker up its arse—ducked around a corner, his dark jacket flapping behind him like a broken wing. She didn’t need to see his face. She knew that gait, the way his left shoulder hitched just a fraction higher than the right. *Tomás Herrera.* The paramedic who’d lost his license after patching up things that bled the wrong colour. The one who’d been seen slipping into *The Raven’s Nest* three nights running, always just before closing, always with that same nervous twitch in his fingers. Quinn’s lungs burned, but she pushed harder. The streetlights bled yellow smears across the wet tarmac, turning the chase into a series of stuttering snapshots: a discarded takeaway carton skidding under her sole, the neon glow of a kebab shop sign reflecting in a puddle, the suspect’s shadow stretching long and distorted before vanishing into an alley. She skidded around the corner, her palm slapping against the brick wall to steady herself. The alley reeked of stale urine and fried food, the kind of stink that clung to the back of your throat. At the far end, a rusted fire escape zigzagged up the side of a building, its metal groaning under the weight of the rain. No sign of Herrera. Quinn exhaled through her nose, sharp and controlled. *Too easy.* Then she saw it—the manhole cover, half-pried open, its edges glistening with fresh scratches. A dark, wet hole yawned beneath it, the kind of drop that made your stomach lurch just looking at it. The rain hissed into the darkness like a nest of snakes. She crouched, fingers brushing the cold metal. No time to call for backup. No time to second-guess. Herrera was slipping through her fingers, and if he reached whatever hole he was crawling into, she’d lose him for good. Quinn holstered her torch, gripped the edges of the manhole, and lowered herself into the black. The drop was shorter than she expected—maybe six feet—but the impact still jarred her knees. The air down here was thick, stale, like the inside of a lung that hadn’t taken a breath in decades. Her boots splashed into an inch of standing water, the sound echoing off unseen walls. The beam of her torch cut through the dark, revealing a narrow tunnel of cracked tile and peeling posters, their edges curled like dead leaves. *Camden Tube station.* Or what was left of it. She moved fast, her breath steady despite the adrenaline fizzing in her veins. The tunnel sloped downward, the tiles giving way to bare concrete, the posters to graffiti—symbols she didn’t recognise, jagged and angular, like something scratched into stone by desperate hands. The air grew colder. The rain above was just a distant murmur now, replaced by the drip-drip-drip of water from some unseen leak. Then she heard it—a scuffle, the clatter of something metal hitting the ground. Quinn killed her torch and pressed herself against the wall, listening. Voices. Low, urgent. Not Herrera’s. “—told you not to bring them here.” “He’s got a buyer. Said it’s clean.” “Clean?” A laugh, sharp as broken glass. “You ever seen clean come out of *that* place?” Quinn’s fingers twitched toward her baton. She didn’t need to see them to know they weren’t human. Not all of them, anyway. She risked a glance around the corner. The tunnel opened into a cavernous space, its ceiling lost in shadow. Stalls lined the walls, their wares lit by flickering lanterns that cast long, wavering shadows. Jars of things that pulsed with an inner light. Bundles of herbs that smelled like burnt sugar and copper. A table covered in what looked like teeth—too many, too sharp, arranged in neat little rows. And in the centre of it all, Herrera. He stood with his back to her, his hands raised like he was trying to calm a wild animal. The man in front of him was tall, his skin stretched too tight over his bones, his fingers too long, too many joints. His eyes—pale, pupil-less—locked onto Herrera’s face. “You’re late,” the tall man said. His voice was like dry leaves skittering across pavement. Herrera swallowed. “Had a tail.” The tall man’s gaze flicked past Herrera, straight toward Quinn. She didn’t hesitate. She stepped out, her baton already drawn, her voice cutting through the market’s murmur like a blade. “Police. Hands where I can see them.” The market froze. Then the tall man smiled. His teeth were too white, too numerous. “Oh,” he said. “This is going to be *fun*.” Herrera’s shoulders tensed. “Quinn, don’t—” She didn’t look at him. Her focus was on the tall man, on the way his fingers twitched, on the way the air around him seemed to *shimmer*, like heat rising off asphalt. “Last warning,” she said. “Step away from him.” The tall man tilted his head. “Or what, Detective? You’ll *arrest* me?” A laugh rippled through the market. Not human. Not even close. Quinn’s grip tightened on her baton. She’d faced down armed robbers, cornered killers, stared into the eyes of men who had nothing left to lose. But this—this was different. The air hummed with something electric, something *wrong*. The stalls around her creaked, their wares shifting as if stirred by an unseen wind. Herrera’s voice was low, urgent. “Quinn, you don’t know what you’re walking into.” She didn’t take her eyes off the tall man. “Then tell me.” A beat of silence. The tall man’s smile widened. Herrera exhaled, sharp and frustrated. “This isn’t your world. You go any further, you’re not coming back.” Quinn’s jaw tightened. She’d lost Morris to the unknown. She wasn’t about to let another lead slip through her fingers because she was afraid of the dark. She took a step forward. The tall man’s fingers curled, his nails blackening, lengthening. “Oh, Detective,” he purred. “You have *no idea* what you’ve just done.”
created_at"2026-02-19T12:12:31.668Z" 2/19/2026, 12:12:31 PM
model"mistralai/mistral-small-creative-20251216"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency286
moderation_latency(null)
generation_time7403
tokens_prompt1140
tokens_completion1618
native_tokens_prompt1027
native_tokens_completion1425
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached256
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"
usage0.0005302
router(null)
provider_responses
0
endpoint_id"0118a65e-79f9-48b0-924e-38c4a41378e1"
id"3a32a7161c9940e5a1c07cf5a693f935"
is_byokfalse
latency286
model_permaslug"mistralai/mistral-small-creative-20251216"
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771503151-1vtVQ1r8cjkkAVtM8o2A"
upstream_id"3a32a7161c9940e5a1c07cf5a693f935"
total_cost0.0005302
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)
dialogueSentences18
tagDensity0.222
leniency0.444
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1032
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)
51.55% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1032
totalAiIsms10
found
0
word"weight"
count1
1
word"glistening"
count1
2
word"stomach"
count1
3
word"lurch"
count1
4
word"echoing"
count1
5
word"wavering"
count1
6
word"pulsed"
count1
7
word"flicked"
count1
8
word"electric"
count1
9
word"silence"
count1
highlights
0"weight"
1"glistening"
2"stomach"
3"lurch"
4"echoing"
5"wavering"
6"pulsed"
7"flicked"
8"electric"
9"silence"
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
emotionTells1
narrationSentences85
matches
0"was afraid"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences85
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences98
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen50
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans10
markdownWords17
totalWords1018
ratio0.017
matches
0"Tomás Herrera."
1"The Raven’s Nest"
2"Too easy."
3"Camden Tube station."
4"that"
5"fun"
6"shimmer"
7"arrest"
8"wrong"
9"no idea"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions24
wordCount928
uniqueNames6
maxNameDensity1.19
worstName"Herrera"
maxWindowNameDensity3
worstWindowName"Herrera"
discoveredNames
Soho1
Quinn9
Raven1
Herrera11
Tube1
Morris1
persons
0"Quinn"
1"Herrera"
2"Morris"
places
0"Soho"
1"Raven"
globalScore0.907
windowScore0.667
63.79% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences58
glossingSentenceCount2
matches
0"smelled like burnt sugar and copper"
1"looked like teeth—too many, too sharp, ar"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1018
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences98
matches
0"knew that gait"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs37
mean27.51
std22.04
cv0.801
sampleLengths
060
167
257
364
410
545
638
716
875
99
1065
1129
127
137
1416
1522
167
1762
1856
1915
205
2110
2227
233
2421
255
2641
2712
2811
2952
3013
3112
329
3317
3427
355
3621
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences85
matches
0"been seen"
74.21% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs159
matches
0"was slipping was crawling"
1"was trying"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount11
semicolonCount0
flaggedSentences8
totalSentences98
ratio0.082
matches
0"The suspect—lean, wiry, moving like a rat with a firecracker up its arse—ducked around a corner, his dark jacket flapping behind him like a broken wing."
1"Then she saw it—the manhole cover, half-pried open, its edges glistening with fresh scratches."
2"The drop was shorter than she expected—maybe six feet—but the impact still jarred her knees."
3"The tunnel sloped downward, the tiles giving way to bare concrete, the posters to graffiti—symbols she didn’t recognise, jagged and angular, like something scratched into stone by desperate hands."
4"Then she heard it—a scuffle, the clatter of something metal hitting the ground."
5"A table covered in what looked like teeth—too many, too sharp, arranged in neat little rows."
6"His eyes—pale, pupil-less—locked onto Herrera’s face."
7"But this—this was different."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount942
adjectiveStacks1
stackExamples
0"suspect—lean, wiry, moving like"
adverbCount36
adverbRatio0.03821656050955414
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences98
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences98
mean10.39
std7.95
cv0.766
sampleLengths
018
116
226
37
417
517
626
77
850
915
1021
1124
124
138
142
1514
1620
1711
187
196
204
2121
2216
2315
2420
2515
2625
279
2813
2929
304
3119
3213
3311
341
352
362
377
387
397
409
416
4211
435
447
4512
4615
479
4810
4916
45.92% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.336734693877551
totalSentences98
uniqueOpeners33
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences76
matches
0"Then she saw it—the manhole"
1"Then she heard it—a scuffle,"
2"Then the tall man smiled."
ratio0.039
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences76
matches
0"She didn’t need to see"
1"She knew that gait, the"
2"She skidded around the corner,"
3"She crouched, fingers brushing the"
4"Her boots splashed into an"
5"She moved fast, her breath"
6"She didn’t need to see"
7"She risked a glance around"
8"He stood with his back"
9"His eyes—pale, pupil-less—locked onto Herrera’s"
10"His voice was like dry"
11"She didn’t hesitate."
12"She stepped out, her baton"
13"His teeth were too white,"
14"She didn’t look at him."
15"Her focus was on the"
16"She’d faced down armed robbers,"
17"She didn’t take her eyes"
18"She’d lost Morris to the"
19"She wasn’t about to let"
ratio0.276
38.95% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount64
totalSentences76
matches
0"The rain hammered down like"
1"Harlow Quinn’s boots splashed through"
2"The suspect—lean, wiry, moving like"
3"She didn’t need to see"
4"She knew that gait, the"
5"*Tomás Herrera.* The paramedic who’d"
6"The one who’d been seen"
7"Quinn’s lungs burned, but she"
8"The streetlights bled yellow smears"
9"She skidded around the corner,"
10"The alley reeked of stale"
11"Quinn exhaled through her nose,"
12"A dark, wet hole yawned"
13"The rain hissed into the"
14"She crouched, fingers brushing the"
15"Herrera was slipping through her"
16"Quinn holstered her torch, gripped"
17"The drop was shorter than"
18"The air down here was"
19"Her boots splashed into an"
ratio0.842
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences76
matches(empty)
ratio0
84.94% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences37
technicalSentenceCount3
matches
0"*Tomás Herrera.* The paramedic who’d lost his license after patching up things that bled the wrong colour."
1"The alley reeked of stale urine and fried food, the kind of stink that clung to the back of your throat."
2"Stalls lined the walls, their wares lit by flickering lanterns that cast long, wavering shadows."
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)
dialogueSentences18
tagDensity0.167
leniency0.333
rawRatio0
effectiveRatio0
84.0011%