Run: 2026-02-20-01KHY8PFZZKW1BHBHPP2JHW2J9

Run Details

Duration:
3.6s
Cost:
$0.000193
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 neon glow of the Raven’s Nest flickered like a dying ember against the slick pavement. Detective Quinn’s boots splashed through the puddles as she pressed forward, her breath coming in sharp, controlled bursts. The air smelled of damp stone and something sharper—burnt oil, maybe, or the metallic tang of fear. Tomás Herrera had led her here, but Quinn had never trusted a man who moved like a shadow through the dark. She ducked beneath the flickering sign, the bar’s entrance just ahead, its door hanging ajar. The scent of stale whiskey and something older—something *wrong*—waved out from the dim interior. Quinn’s pulse hammered in her throat. She had no reason to believe Tomás was leading her into a trap, but the way he’d spoken of "the Nest" made her skin prickle. *Silas*, she thought. *Silas and his clique.* The name coiled in her gut like a snake. She stepped inside, the door slamming shut behind her with a wet *thud*. The bar was a cavern of flickering light and half-empty glasses, the walls lined with maps and photographs that seemed to shift when she blinked. A low murmur rose from the crowd—voices, laughter, the occasional sharp intake of breath. Quinn’s eyes landed on Tomás, standing near the bar, his dark curls damp from the rain. He turned, his scar glinting under the neon, and his gaze locked onto hers. "You’re late," he said, voice low. Not a question. Quinn’s fingers tightened around the strap of her holster. "You didn’t have to wait." Tomás shrugged, but his eyes never left hers. "The market’s moving tonight. Veil’s shifting." She exhaled through her nose, the scent of damp earth and something metallic sharp in her lungs. "Where’s he taking you?" A beat. Then, quietly: "The secret room." Quinn’s jaw clenched. She had no right to question him, but she couldn’t shake the feeling that this was a trap. The clique didn’t operate in plain sight. They didn’t. Tomás gestured toward the back, where a bookshelf stood against the wall. "Come on. You’ll see." Quinn hesitated, but the weight of the case pressed down on her. She had to know. She followed him through the crowd, the scent of something *off* growing stronger—the faintest hint of ozone, like the air before a storm. The bookshelf creaked as Tomás pushed it aside, revealing a narrow passage. The air inside was thick, the walls slick with condensation. Tomás flicked a switch mounted on the wall, and the hidden room lit up. It was small, barely more than a storeroom, but the shelves were lined with jars, vials, and strange artifacts. A figure sat at a small table, hunched over a ledger, their back to them. Quinn’s breath hitched. *Silas.* She stepped forward, her boots making a soft *thud* against the floor. "Herrera," she said, voice steady despite the way her stomach twisted. "What the hell are you doing here?" Tomás didn’t answer. He just stood there, his scar glinting in the dim light, watching her. Silas turned slowly, his sharp features illuminated by the flickering glow. "Detective Quinn. I was wondering when you’d show up." Quinn’s mind raced. Tomás had led her here. He’d known. And Silas—*Silas* was the one who’d taken her partner. The one who’d left DS Morris’s body in the rain, his throat slit, his eyes hollow. Silas leaned forward, his voice a low rasp. "You’re not welcome here, Quinn. But you’re welcome to listen." Tomás stepped between them, his voice cutting through the tension. "She’s here because she’s got questions. And she’s got answers." Silas’s gaze flicked to Quinn. "Then let’s hear them." The air between them crackled. Quinn’s hands curled into fists at her sides. She had no proof. No way to prove what she suspected. But she had *Morris.* Silas’s smile was a blade. "You’ll find out soon enough." And then the lights went out.
created_at"2026-02-20T19:33:46.637Z" 2/20/2026, 7:33:46 PM
model"mistralai/ministral-3b-2512"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency469
moderation_latency(null)
generation_time3113
tokens_prompt1140
tokens_completion1021
native_tokens_prompt1027
native_tokens_completion900
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"
usage0.0001927
router(null)
provider_responses
0
endpoint_id"b9f6828f-aef9-498a-91f5-6816fbf72420"
id"f514985a83934babb2fd242f547f33cb"
is_byokfalse
latency469
model_permaslug"mistralai/ministral-3b-2512"
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771616026-pNRZOL9hCDxCJlF4FAF2"
upstream_id"f514985a83934babb2fd242f547f33cb"
total_cost0.0001927
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
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences14
tagDensity0.214
leniency0.429
rawRatio0
effectiveRatio0
92.32% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount651
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"slowly"
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)
15.51% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount651
totalAiIsms11
found
0
word"flickered"
count1
1
word"pulse"
count1
2
word"glinting"
count2
3
word"jaw clenched"
count1
4
word"weight"
count1
5
word"flicked"
count2
6
word"stomach"
count1
7
word"raced"
count1
8
word"tension"
count1
highlights
0"flickered"
1"pulse"
2"glinting"
3"jaw clenched"
4"weight"
5"flicked"
6"stomach"
7"raced"
8"tension"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"jaw/fists clenched"
count1
highlights
0"jaw clenched"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences57
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences57
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences67
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen26
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans9
markdownWords12
totalWords646
ratio0.019
matches
0"wrong"
1"Silas"
2"Silas and his clique."
3"thud"
4"off"
5"Silas."
6"thud"
7"Silas"
8"Morris."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions35
wordCount574
uniqueNames7
maxNameDensity1.92
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Silas"
discoveredNames
Raven1
Nest1
Quinn11
Herrera1
Tomás10
Silas9
Morris2
persons
0"Raven"
1"Nest"
2"Quinn"
3"Herrera"
4"Tomás"
5"Silas"
6"Morris"
places(empty)
globalScore0.542
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences38
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount646
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences67
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs23
mean28.09
std23.04
cv0.82
sampleLengths
072
176
282
39
414
514
621
77
830
916
1061
1148
124
1330
1416
1520
1635
1718
1820
199
2028
2110
226
99.11% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences57
matches
0"were lined"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs100
matches
0"was leading"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences5
totalSentences67
ratio0.075
matches
0"The air smelled of damp stone and something sharper—burnt oil, maybe, or the metallic tang of fear."
1"The scent of stale whiskey and something older—something *wrong*—waved out from the dim interior."
2"A low murmur rose from the crowd—voices, laughter, the occasional sharp intake of breath."
3"She followed him through the crowd, the scent of something *off* growing stronger—the faintest hint of ozone, like the air before a storm."
4"And Silas—*Silas* was the one who’d taken her partner."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount579
adjectiveStacks0
stackExamples(empty)
adverbCount14
adverbRatio0.024179620034542316
lyAdverbCount3
lyAdverbRatio0.0051813471502590676
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences67
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences67
mean9.64
std5.95
cv0.617
sampleLengths
016
118
217
321
415
514
66
725
83
913
1013
1125
1214
1316
1414
156
163
179
185
198
206
2117
224
232
245
253
2618
277
282
2912
304
3112
324
3323
3412
3510
3614
3719
3815
393
401
4112
4211
437
443
4513
4611
479
483
495
45.52% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.29850746268656714
totalSentences67
uniqueOpeners20
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences52
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount14
totalSentences52
matches
0"She ducked beneath the flickering"
1"She had no reason to"
2"She stepped inside, the door"
3"He turned, his scar glinting"
4"he said, voice low"
5"She exhaled through her nose,"
6"She had no right to"
7"She had to know."
8"She followed him through the"
9"It was small, barely more"
10"She stepped forward, her boots"
11"she said, voice steady despite"
12"He just stood there, his"
13"She had no proof."
ratio0.269
8.08% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount47
totalSentences52
matches
0"The neon glow of the"
1"Detective Quinn’s boots splashed through"
2"The air smelled of damp"
3"Tomás Herrera had led her"
4"She ducked beneath the flickering"
5"The scent of stale whiskey"
6"Quinn’s pulse hammered in her"
7"She had no reason to"
8"*Silas*, she thought."
9"*Silas and his clique.* The"
10"She stepped inside, the door"
11"The bar was a cavern"
12"A low murmur rose from"
13"Quinn’s eyes landed on Tomás,"
14"He turned, his scar glinting"
15"he said, voice low"
16"Quinn’s fingers tightened around the"
17"Tomás shrugged, but his eyes"
18"She exhaled through her nose,"
19"Quinn’s jaw clenched."
ratio0.904
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences52
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences27
technicalSentenceCount1
matches
0"He just stood there, his scar glinting in the dim light, watching her."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount2
matches
0"he said, voice low"
1"she said, voice steady despite the way her stomach twisted"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences14
tagDensity0.143
leniency0.286
rawRatio0
effectiveRatio0
77.0180%