Run: 2026-02-19-01KHTX48GQH6CH04RREETGKDEV

Run Details

Duration:
6.8s
Cost:
$0.000483
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 fell in sheets, turning the Soho streets into a slick, reflective maze. Harlow Quinn’s boots splashed through puddles as she kept her eyes locked on the figure darting between the neon glow of shop signs. The suspect—lean, hooded, moving with the kind of urgency that screamed guilt—had bolted the second she’d flashed her badge outside *The Raven’s Nest*. No hesitation. No denial. Just the instinctive flight of someone who knew they were already caught. She didn’t call out. Words would only slow her down. A taxi horn blared as the suspect cut across the road, forcing a black cab to swerve. Quinn didn’t flinch. She followed, her breath steady despite the burn in her lungs. Eighteen years on the force had taught her how to chase—when to push, when to conserve. The suspect was fast, but reckless. They took a sharp left into an alley, their shoes skidding on wet cobblestones. Quinn didn’t hesitate. She lunged, her fingers brushing the suspect’s jacket before they twisted away, vanishing into the shadows of a narrow passage. She cursed under her breath, her pulse hammering in her throat. The alley dead-ended at a rusted fire escape. No way out. Unless— A grating sound. Metal scraping against stone. She spun just in time to see the suspect yank open a manhole cover, the heavy iron disc clattering against the pavement. They dropped into the darkness without a second thought. Quinn’s stomach twisted. She knew what lay beneath London’s streets—sewers, abandoned Tube tunnels, the kind of places that swallowed people whole. But she also knew the rules: *never let a suspect out of your sight.* She crouched at the edge of the hole, the stench of damp concrete and something older, something *wrong*, rising to meet her. The suspect’s footsteps echoed below, fading fast. No time to call for backup. No time to second-guess. She gripped the ladder and descended. The drop was longer than she expected. Her boots hit the ground with a jolt, the impact shooting up her legs. She steadied herself, her hand instinctively going to the torch on her belt. The beam cut through the darkness, revealing a narrow tunnel lined with peeling posters and graffiti. The air was thick, humid, the kind of damp that clung to her skin. The suspect was already gone. Quinn moved forward, her torch sweeping the walls. The tunnel sloped downward, the floor uneven beneath her feet. She could hear water dripping somewhere ahead, the sound echoing like a slow, uneven heartbeat. Then—voices. She killed the torch. A flicker of light up ahead. Not the harsh glow of a police-issue flashlight, but something softer, warmer. Like candlelight. She pressed herself against the wall, inching forward until the tunnel opened into a vast, cavernous space. Her breath caught. The Veil Market. She’d heard the whispers—rumours among the night shift, the kind of stories that got dismissed as urban legend. But this was real. Stalls lined the walls, their wares glowing with an unnatural light. Jars of swirling liquid, bundles of dried herbs, weapons that hummed with energy. The air smelled of ozone and something metallic, like blood. And the people—if they *were* people. Some had too many eyes. Others moved with a fluidity that wasn’t quite human. A few turned to stare at her, their expressions unreadable. Quinn’s fingers twitched toward her radio, but she stopped herself. No signal down here. No backup. The suspect was weaving through the crowd, heading toward a stall at the far end. A figure stood behind it, tall, cloaked, their face obscured by shadow. The suspect leaned in, speaking urgently. Quinn didn’t need to hear the words. She could read the body language—*desperation.* She took a step forward. A hand clamped onto her shoulder. She spun, her fist already raised, but the man who’d grabbed her didn’t flinch. Warm brown eyes met hers, familiar despite the dim light. “Tomás,” she hissed. Tomás Herrera didn’t let go. “You shouldn’t be here, *detective.*” She jerked free. “I’m following a suspect.” “And you think this is the place to do it?” His voice was low, urgent. “You don’t even know what half of these things *are.*” She glanced back at the stall. The suspect was still there, but the cloaked figure was handing them something—a small, wrapped package. Whatever it was, it wasn’t legal. Not by any law she recognised. “Move,” she said. Tomás blocked her path. “Quinn, listen to me. You go in there, you’re not coming out the same.” She bared her teeth. “I don’t have a choice.” He exhaled sharply, then stepped aside. “Then at least let me come with you.” She didn’t argue. She didn’t have time. They moved through the market, the crowd parting around them like they were contagious. The suspect was still at the stall, but now they were arguing with the cloaked figure. The package sat between them, untouched. Quinn’s hand hovered over her baton. She could take them. She could— A sharp *crack* echoed through the cavern. The suspect staggered back, clutching their chest. Blood seeped between their fingers. Quinn’s stomach dropped. The cloaked figure hadn’t moved. But the package on the stall was gone. Tomás cursed under his breath. “We need to go. *Now.*” The suspect collapsed. The market erupted into chaos. Stalls were overturned, people scattering. Quinn lunged forward, but Tomás grabbed her arm, yanking her back. “Quinn, *look!*” She followed his gaze. The cloaked figure was gone. And the suspect wasn’t breathing.
created_at"2026-02-19T12:13:51.518Z" 2/19/2026, 12:13:51 PM
model"mistralai/mistral-small-creative-20251216"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency202
moderation_latency(null)
generation_time6417
tokens_prompt1140
tokens_completion1498
native_tokens_prompt1027
native_tokens_completion1267
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached1024
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"
usage0.0004828
router(null)
provider_responses
0
endpoint_id"0118a65e-79f9-48b0-924e-38c4a41378e1"
id"14be37a5fbc34cbf849a853b4ac31f5a"
is_byokfalse
latency202
model_permaslug"mistralai/mistral-small-creative-20251216"
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771503231-b7WkS4LdfyV1QU4xg0JX"
upstream_id"14be37a5fbc34cbf849a853b4ac31f5a"
total_cost0.0004828
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
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences11
tagDensity0.182
leniency0.364
rawRatio0
effectiveRatio0
94.59% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount924
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)
45.89% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount924
totalAiIsms10
found
0
word"pulse"
count1
1
word"stomach"
count2
2
word"footsteps"
count1
3
word"echoed"
count2
4
word"echoing"
count1
5
word"flicker"
count1
6
word"unreadable"
count1
7
word"familiar"
count1
highlights
0"pulse"
1"stomach"
2"footsteps"
3"echoed"
4"echoing"
5"flicker"
6"unreadable"
7"familiar"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"stomach dropped/sank"
count1
1
label"without second thought"
count1
highlights
0"stomach dropped"
1"without a second thought"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences104
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences104
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences112
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen25
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans10
markdownWords19
totalWords913
ratio0.021
matches
0"The Raven’s Nest"
1"never let a suspect out of your sight."
2"wrong"
3"were"
4"desperation."
5"detective."
6"are."
7"crack"
8"Now."
9"look!"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
91.04% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions21
wordCount848
uniqueNames9
maxNameDensity1.18
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Tomás"
discoveredNames
Soho1
Quinn10
Raven1
London1
Tube1
Veil1
Market1
Tomás4
Herrera1
persons
0"Quinn"
1"Tube"
2"Tomás"
3"Herrera"
places
0"Soho"
1"Raven"
2"London"
globalScore0.91
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences61
glossingSentenceCount1
matches
0"quite human"
90.47% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.095
wordCount913
matches
0"Not the harsh glow of a police-issue flashlight, but something softer, warmer"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences112
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs49
mean18.63
std18.36
cv0.985
sampleLengths
076
110
267
346
47
531
635
729
810
96
1064
115
1233
131
144
1537
163
173
1856
1930
2016
2133
2213
235
246
2524
263
2710
287
2925
3034
313
3218
339
3414
357
3636
3712
387
3912
403
4113
4210
433
4421
452
464
475
485
91.77% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences104
matches
0"got dismissed"
1"was gone"
2"were overturned"
3"was gone"
40.32% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs167
matches
0"was weaving"
1"was handing"
2"were arguing"
3"wasn’t breathing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount11
semicolonCount0
flaggedSentences10
totalSentences112
ratio0.089
matches
0"The suspect—lean, hooded, moving with the kind of urgency that screamed guilt—had bolted the second she’d flashed her badge outside *The Raven’s Nest*."
1"Eighteen years on the force had taught her how to chase—when to push, when to conserve."
2"Unless—"
3"She knew what lay beneath London’s streets—sewers, abandoned Tube tunnels, the kind of places that swallowed people whole."
4"Then—voices."
5"She’d heard the whispers—rumours among the night shift, the kind of stories that got dismissed as urban legend."
6"And the people—if they *were* people."
7"She could read the body language—*desperation.*"
8"The suspect was still there, but the cloaked figure was handing them something—a small, wrapped package."
9"She could—"
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount859
adjectiveStacks0
stackExamples(empty)
adverbCount23
adverbRatio0.02677532013969732
lyAdverbCount4
lyAdverbRatio0.004656577415599534
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences112
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences112
mean8.15
std5.36
cv0.658
sampleLengths
014
123
223
32
42
512
64
76
817
93
1011
1116
126
1314
143
1520
1611
178
183
191
203
214
2222
239
243
2518
2614
2722
287
296
304
316
327
3314
3413
3516
3614
375
388
3910
4015
411
424
436
4412
452
4617
473
483
4918
38.39% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.2767857142857143
totalSentences112
uniqueOpeners31
35.09% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences95
matches
0"Just the instinctive flight of"
ratio0.011
93.68% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences95
matches
0"She didn’t call out."
1"She followed, her breath steady"
2"They took a sharp left"
3"She lunged, her fingers brushing"
4"She cursed under her breath,"
5"She spun just in time"
6"They dropped into the darkness"
7"She knew what lay beneath"
8"She crouched at the edge"
9"She gripped the ladder and"
10"Her boots hit the ground"
11"She steadied herself, her hand"
12"She could hear water dripping"
13"She killed the torch."
14"She pressed herself against the"
15"Her breath caught."
16"She’d heard the whispers—rumours among"
17"She could read the body"
18"She took a step forward."
19"She spun, her fist already"
ratio0.316
38.95% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount80
totalSentences95
matches
0"The rain fell in sheets,"
1"Harlow Quinn’s boots splashed through"
2"The suspect—lean, hooded, moving with"
3"She didn’t call out."
4"Words would only slow her"
5"A taxi horn blared as"
6"Quinn didn’t flinch."
7"She followed, her breath steady"
8"The suspect was fast, but"
9"They took a sharp left"
10"Quinn didn’t hesitate."
11"She lunged, her fingers brushing"
12"She cursed under her breath,"
13"The alley dead-ended at a"
14"A grating sound."
15"Metal scraping against stone."
16"She spun just in time"
17"They dropped into the darkness"
18"Quinn’s stomach twisted."
19"She knew what lay beneath"
ratio0.842
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences95
matches(empty)
ratio0
43.65% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount5
matches
0"The suspect—lean, hooded, moving with the kind of urgency that screamed guilt—had bolted the second she’d flashed her badge outside *The Raven’s Nest*."
1"She lunged, her fingers brushing the suspect’s jacket before they twisted away, vanishing into the shadows of a narrow passage."
2"She knew what lay beneath London’s streets—sewers, abandoned Tube tunnels, the kind of places that swallowed people whole."
3"She’d heard the whispers—rumours among the night shift, the kind of stories that got dismissed as urban legend."
4"She spun, her fist already raised, but the man who’d grabbed her didn’t flinch."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
59.09% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"she hissed (hiss)"
dialogueSentences11
tagDensity0.182
leniency0.364
rawRatio0.5
effectiveRatio0.182
77.6531%