Run: 2026-02-20-01KHY914P63SQ2TBMF8J43DTK5

Run Details

Duration:
9.6s
Cost:
$0.000440
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 cobbled streets of Soho into a slick, treacherous mirror. Harlow Quinn’s boots splashed through puddles that had swallowed the glow of streetlamps, leaving only jagged pools of darkness between the flickering neon. She kept low, her breath shallow, the collar of her trench coat pulled tight against the cold. The suspect—a wiry man in a long, oil-stained coat—had ducked into an alley just off Greek Street, his movements sharp, deliberate. Too deliberate. Quinn didn’t slow. The stench of damp wool and rotting fruit hit her as she rounded the corner, but the alley was empty. No footprints in the mud. No discarded cigarette butts to mark his path. Just the hollow echo of her own pulse in her ears. She cursed under her breath, scanning the brick walls for any sign of movement. Then—there. A flicker of motion near the back. A door, slightly ajar, its paint peeling like dead skin. The Raven’s Nest. Silas’ bar. She’d questioned him twice before, but the owner had always been polite, unhelpful. A man who knew how to keep his mouth shut. Quinn pushed the door open with the heel of her boot. The bell above jingled weakly, drowned out by the rain. Inside, the air was thick with the scent of stale beer and something metallic, like old blood. The bar was empty, the stools pushed back against the counter. No one at the bar. No one in the booths. Just the hum of a jukebox playing something slow and mournful. She moved deeper into the room, her fingers brushing the cold glass of half-empty bottles. The floorboards groaned under her weight, but the suspect was gone. Vanished. Unless— A bookshelf. Just past the restrooms, tucked into the corner like it didn’t belong. Quinn didn’t hesitate. She yanked the nearest book—*The Complete Works of Edgar Allan Poe*—and the shelf swung inward with a groan, revealing a narrow staircase descending into darkness. Her pulse kicked up. She’d heard rumors about this place. A back room. A secret. But no one talked about what was down there. She drew her service revolver, the weight familiar in her hand. The stairs were steep, the air growing colder with each step. At the bottom, a single bulb flickered overhead, casting long shadows across a room lined with crates and stacked boxes. And there, in the far corner, the suspect. He turned, his face half-lit by the dim glow, his eyes wide with something like panic. “You’re not supposed to be here,” he said, voice tight. Quinn didn’t lower the gun. “Neither are you.” He swallowed hard, his fingers twitching toward something behind him—a bag, maybe. Or a weapon. “Look, I didn’t—” “Save it.” She stepped forward, the barrel of the revolver steady. “Where’s the girl?” His face went slack. “What girl?” Quinn’s jaw tightened. She’d seen the security footage. The girl—early twenties, dark hair, bruises on her wrists—had been dragged into this bar two nights ago. And now she was gone. “Don’t play dumb,” Quinn said. “I know you took her.” The suspect’s breath hitched. Then, from the shadows behind him, a voice—low, amused. “Detective Quinn. Always so predictable.” She spun, the gun swinging toward the new voice. Tomás Herrera stood in the doorway, his arms crossed, the Saint Christopher medallion glinting against his collar. His scar ran like a dark river down his forearm, stark against his olive skin. “Herrera,” Quinn said, her voice flat. “What the hell are you doing here?” He smirked. “Same as you, I’d imagine. Looking for answers.” The suspect bolted. Quinn didn’t think. She fired. The shot echoed through the room, the bullet embedding itself in the wall just inches from the suspect’s shoulder. He froze, his breath ragged. Herrera sighed. “You’re going to get us both killed.” Quinn ignored him, her eyes locked on the suspect. “Last chance. Where is she?” The man’s hands shot up. “I don’t know! I swear!” Quinn didn’t believe him. But something in his voice—something raw—made her hesitate. Just for a second. That’s all Herrera needed. He lunged, grabbing Quinn’s wrist and twisting her arm behind her back. She grunted, the gun clattering to the floor. “What the—?” “Easy,” he muttered, his grip like iron. “You’re not the only one who knows about this place.” Quinn twisted, but he was too strong. “Let go of me.” “Not until you listen,” he said, his voice low. “That girl? She’s not the only one missing. And this place”—he jerked his chin toward the crates, the shadows—“isn’t just a bar. It’s a door.” Quinn’s stomach twisted. “To where?” Herrera’s grip didn’t waver. “Somewhere you don’t want to go.” Outside, the rain kept falling. Somewhere in the distance, a siren wailed. Quinn looked at the suspect—still trembling, still lying. Then at Herrera, his face half-hidden in shadow. She made her choice. “Fine,” she said, her voice steady. “Take me to her.”
created_at"2026-02-20T19:39:35.507Z" 2/20/2026, 7:39:35 PM
model"mistralai/ministral-14b-2512"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency223
moderation_latency(null)
generation_time9291
tokens_prompt1140
tokens_completion1348
native_tokens_prompt1027
native_tokens_completion1173
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"
usage0.00044
router(null)
provider_responses
0
endpoint_id"0b53717b-9af5-4de3-80af-ebedd2adf981"
id"89c02b7ad78b4255a0c459a16b75061e"
is_byokfalse
latency223
model_permaslug"mistralai/ministral-14b-2512"
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771616375-qdVhAngBAEzw1pkkyKsO"
upstream_id"89c02b7ad78b4255a0c459a16b75061e"
total_cost0.00044
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
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences25
tagDensity0.28
leniency0.56
rawRatio0
effectiveRatio0
94.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount834
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"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)
10.07% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount834
totalAiIsms15
found
0
word"treacherous"
count1
1
word"echo"
count1
2
word"pulse"
count2
3
word"scanning"
count1
4
word"flicker"
count1
5
word"weight"
count2
6
word"familiar"
count1
7
word"flickered"
count1
8
word"predictable"
count1
9
word"glinting"
count1
10
word"stark"
count1
11
word"echoed"
count1
12
word"stomach"
count1
highlights
0"treacherous"
1"echo"
2"pulse"
3"scanning"
4"flicker"
5"weight"
6"familiar"
7"flickered"
8"predictable"
9"glinting"
10"stark"
11"echoed"
12"stomach"
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
narrationSentences85
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences85
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences104
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen25
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords7
totalWords820
ratio0.009
matches
0"The Complete Works of Edgar Allan Poe"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions31
wordCount694
uniqueNames13
maxNameDensity2.16
worstName"Quinn"
maxWindowNameDensity4.5
worstWindowName"Quinn"
discoveredNames
Soho1
Quinn15
Greek1
Street1
Raven1
Nest1
Complete1
Works1
Edgar1
Allan1
Herrera5
Saint1
Christopher1
persons
0"Quinn"
1"Raven"
2"Edgar"
3"Allan"
4"Herrera"
5"Saint"
6"Christopher"
places
0"Soho"
1"Greek"
2"Street"
globalScore0.419
windowScore0.167
94.44% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences45
glossingSentenceCount1
matches
0"something like panic"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount820
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences104
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs38
mean21.58
std19.57
cv0.907
sampleLengths
079
147
260
370
428
542
624
766
810
98
1018
1114
126
1330
1410
1513
165
1741
1813
1910
203
215
2224
239
2414
2510
2616
274
2822
2917
3011
3134
325
3310
3412
3516
364
3710
92.88% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences85
matches
0"was gone"
1"been dragged"
2"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs116
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount13
semicolonCount0
flaggedSentences9
totalSentences104
ratio0.087
matches
0"The suspect—a wiry man in a long, oil-stained coat—had ducked into an alley just off Greek Street, his movements sharp, deliberate."
1"Then—there."
2"Unless—"
3"She yanked the nearest book—*The Complete Works of Edgar Allan Poe*—and the shelf swung inward with a groan, revealing a narrow staircase descending into darkness."
4"He swallowed hard, his fingers twitching toward something behind him—a bag, maybe."
5"The girl—early twenties, dark hair, bruises on her wrists—had been dragged into this bar two nights ago."
6"Then, from the shadows behind him, a voice—low, amused."
7"But something in his voice—something raw—made her hesitate."
8"Quinn looked at the suspect—still trembling, still lying."
85.79% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount243
adjectiveStacks1
stackExamples
0"long, oil-stained coat—"
adverbCount12
adverbRatio0.04938271604938271
lyAdverbCount4
lyAdverbRatio0.01646090534979424
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences104
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences104
mean7.88
std5.59
cv0.709
sampleLengths
016
123
217
321
42
53
620
75
88
911
1014
111
127
1310
143
152
1613
1710
1811
1910
2017
2111
225
235
2411
2515
2611
271
281
292
3012
313
3225
334
346
353
362
379
3811
3911
4020
418
4216
4310
445
453
4612
473
483
4911
63.46% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.40384615384615385
totalSentences104
uniqueOpeners42
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount7
totalSentences75
matches
0"Just the hollow echo of"
1"Just the hum of a"
2"Just past the restrooms, tucked"
3"Then, from the shadows behind"
4"Just for a second."
5"Somewhere in the distance, a"
6"Then at Herrera, his face"
ratio0.093
97.33% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences75
matches
0"She kept low, her breath"
1"She cursed under her breath,"
2"She’d questioned him twice before,"
3"She moved deeper into the"
4"She yanked the nearest book—*The"
5"Her pulse kicked up."
6"She’d heard rumors about this"
7"She drew her service revolver,"
8"He turned, his face half-lit"
9"he said, voice tight"
10"He swallowed hard, his fingers"
11"She stepped forward, the barrel"
12"His face went slack."
13"She’d seen the security footage."
14"She spun, the gun swinging"
15"His scar ran like a"
16"He froze, his breath ragged."
17"He lunged, grabbing Quinn’s wrist"
18"She grunted, the gun clattering"
19"he muttered, his grip like"
ratio0.307
86.67% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount56
totalSentences75
matches
0"The rain fell in sheets,"
1"Harlow Quinn’s boots splashed through"
2"She kept low, her breath"
3"The suspect—a wiry man in"
4"Quinn didn’t slow."
5"The stench of damp wool"
6"She cursed under her breath,"
7"A flicker of motion near"
8"A door, slightly ajar, its"
9"The Raven’s Nest."
10"She’d questioned him twice before,"
11"A man who knew how"
12"Quinn pushed the door open"
13"The bell above jingled weakly,"
14"The bar was empty, the"
15"She moved deeper into the"
16"The floorboards groaned under her"
17"Quinn didn’t hesitate."
18"She yanked the nearest book—*The"
19"Her pulse kicked up."
ratio0.747
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences75
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences31
technicalSentenceCount1
matches
0"Harlow Quinn’s boots splashed through puddles that had swallowed the glow of streetlamps, leaving only jagged pools of darkness between the flickering neon."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount5
matches
0"he said, voice tight"
1"She stepped, the barrel of the revolver steady"
2"Quinn said, her voice flat"
3"he said, his voice low"
4"she said, her voice steady"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount1
fancyTags
0"he muttered (mutter)"
dialogueSentences25
tagDensity0.24
leniency0.48
rawRatio0.167
effectiveRatio0.08
81.3773%