Run: 2026-02-20-01KHYATN34VTRC7YEBQTS928KT

Run Details

Duration:
4.3s
Cost:
$0.000261
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 the pavement like a metronome set to a funeral dirge, each drop a silent accusation. Quinn’s breath fogged in the cold air as she ducked beneath the awning of a shuttered florist’s shop, her boots splashing through a puddle that mirrored the flickering streetlight. The neon glow of a green sign pulsed above *The Raven’s Nest*, its jagged letters bleeding into the downpour. She didn’t pause. The scent of damp earth and old whiskey clung to her coat as she pressed forward, her gloved fingers tightening around the handle of her revolver. A shadow moved inside the bar’s dim glow. Not the suspect—someone else, a figure hunched over a table, their back to the door. Quinn’s pulse didn’t slow. She knew the type. The kind who thought they could hide in plain sight, who believed the city’s labyrinth would swallow them whole. She stepped inside, the door groaning on its hinges. The air smelled of stale beer and something sharper—ozone, maybe, or the metallic tang of old blood. The patrons barely glanced up. A man in a pinstripe suit sipped his whiskey, his fingers drumming a rhythm only he could hear. A woman at the bar laughed too loud, her laughter the kind that grated like nails on glass. Quinn’s gaze locked onto the figure by the back wall, the one who’d been watching the door. Then he stood. Tall, broad-shouldered, his dark hair slicked back from the rain. Tomás Herrera. Quinn’s jaw tightened. She’d seen him before—once, at a precinct function, his name attached to a file she’d never opened. A paramedic. A man with a medallion that didn’t belong in this world. “You’re not supposed to be here,” Herrera said, his voice low, smooth. No fear, just observation. Quinn didn’t answer. She moved, her boots silent on the warped floorboards. The gun in her hand was a whisper of steel against her thigh. “You’re not either.” He smirked, just slightly. “Depends on who’s asking.” She lunged. The fight was over before it began. Herrera sidestepped, his scarred forearm flashing as he caught her wrist. His grip was iron, his breath warm against her ear. “You’re bleeding,” he murmured, tilting her chin up. A thin line of red traced her cheekbone, forgotten in the chaos. Quinn twisted free, her elbow crashing into his ribs. He didn’t flinch. “You’re not the one I’m after.” “Then who?” She didn’t answer. Instead, she shoved past him, her coat billowing like a banner. The back room. The bookshelf. She’d seen it before, in a file, in a dream. A hidden door, a world beneath the city. Herrera followed, his footsteps deliberate. “You’re walking into a trap.” “Maybe I am.” The bookshelf groaned as she shoved it aside. The door yawned open, revealing a staircase descending into darkness. The air down there was thick, humid, the scent of damp stone and something older—something that didn’t belong in London. Quinn hesitated. Herrera’s voice cut through the silence. “You can turn back.” She didn’t. The first step was hers. The gun never left her hand.
created_at"2026-02-20T20:11:00.083Z" 2/20/2026, 8:11:00 PM
model"mistralai/ministral-8b-2512"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency248
moderation_latency(null)
generation_time3929
tokens_prompt1140
tokens_completion818
native_tokens_prompt1027
native_tokens_completion716
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached0
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"
usage0.00026145
router(null)
provider_responses
0
endpoint_id"c85d26e1-1e0c-449b-9775-2afce7ae510b"
id"8c7b1712c43649fab4bb5dbe0e022867"
is_byokfalse
latency248
model_permaslug"mistralai/ministral-8b-2512"
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771618260-XVbyVpcYbvZEp11kUQR7"
upstream_id"8c7b1712c43649fab4bb5dbe0e022867"
total_cost0.00026145
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)
dialogueSentences9
tagDensity0.222
leniency0.444
rawRatio0
effectiveRatio0
90.33% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount517
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)
41.97% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount517
totalAiIsms6
found
0
word"pulsed"
count1
1
word"pulse"
count1
2
word"whisper"
count1
3
word"traced"
count1
4
word"footsteps"
count1
5
word"silence"
count1
highlights
0"pulsed"
1"pulse"
2"whisper"
3"traced"
4"footsteps"
5"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
emotionTells0
narrationSentences52
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences52
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences59
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords3
totalWords512
ratio0.006
matches
0"The Raven’s Nest"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
76.62% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions14
wordCount477
uniqueNames4
maxNameDensity1.47
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Herrera"
discoveredNames
Raven1
Herrera5
London1
Quinn7
persons
0"Raven"
1"Herrera"
2"Quinn"
places
0"London"
globalScore0.766
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences32
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount512
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences59
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs20
mean25.6
std26.83
cv1.048
sampleLengths
095
150
284
33
445
516
628
78
82
948
1018
112
1237
1310
143
1538
162
1710
182
1911
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences52
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs75
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences4
totalSentences59
ratio0.068
matches
0"Not the suspect—someone else, a figure hunched over a table, their back to the door."
1"The air smelled of stale beer and something sharper—ozone, maybe, or the metallic tang of old blood."
2"She’d seen him before—once, at a precinct function, his name attached to a file she’d never opened."
3"The air down there was thick, humid, the scent of damp stone and something older—something that didn’t belong in London."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount482
adjectiveStacks0
stackExamples(empty)
adverbCount15
adverbRatio0.03112033195020747
lyAdverbCount3
lyAdverbRatio0.006224066390041493
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences59
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences59
mean8.68
std6.43
cv0.741
sampleLengths
018
129
219
33
426
58
615
74
84
919
109
1117
125
1318
1418
1517
163
1710
182
193
2017
212
2211
2312
244
253
269
2713
283
294
304
312
327
3311
3410
358
3612
379
383
396
402
413
4211
433
442
4510
468
475
485
493
38.14% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.2711864406779661
totalSentences59
uniqueOpeners16
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences46
matches
0"Then he stood."
1"Instead, she shoved past him,"
ratio0.043
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount11
totalSentences46
matches
0"She didn’t pause."
1"She knew the type."
2"She stepped inside, the door"
3"She’d seen him before—once, at"
4"She moved, her boots silent"
5"He smirked, just slightly."
6"His grip was iron, his"
7"he murmured, tilting her chin"
8"He didn’t flinch."
9"She didn’t answer."
10"She’d seen it before, in"
ratio0.239
14.35% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount41
totalSentences46
matches
0"The rain hammered the pavement"
1"Quinn’s breath fogged in the"
2"The neon glow of a"
3"She didn’t pause."
4"The scent of damp earth"
5"A shadow moved inside the"
6"Quinn’s pulse didn’t slow."
7"She knew the type."
8"The kind who thought they"
9"She stepped inside, the door"
10"The air smelled of stale"
11"The patrons barely glanced up."
12"A man in a pinstripe"
13"A woman at the bar"
14"Quinn’s gaze locked onto the"
15"Quinn’s jaw tightened."
16"She’d seen him before—once, at"
17"A man with a medallion"
18"Herrera said, his voice low,"
19"Quinn didn’t answer."
ratio0.891
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences46
matches(empty)
ratio0
74.83% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences21
technicalSentenceCount2
matches
0"Quinn’s breath fogged in the cold air as she ducked beneath the awning of a shuttered florist’s shop, her boots splashing through a puddle that mirrored the fli…"
1"The air down there was thick, humid, the scent of damp stone and something older—something that didn’t belong in London."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount1
matches
0"Herrera said, his voice low, smooth"
38.89% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"he murmured (murmur)"
dialogueSentences9
tagDensity0.222
leniency0.444
rawRatio0.5
effectiveRatio0.222
79.1710%