Run: 2026-02-20-01KHY8CZ2G8DDFPFQHC9R72RKE

Run Details

Duration:
7.9s
Cost:
$0.000403
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 God’s own broom sweeping the streets clean. Harlow Quinn pulled her collar tighter, the fabric stiff with damp, her breath fogging in the cold air. The neon glow of The Raven’s Nest flickered ahead, its green sign bleeding into the downpour like a bruise. She didn’t slow. The suspect—some wiry bloke in a too-long coat—had ducked inside moments before her, but Quinn wasn’t letting him slip through her fingers again. Not after three years of chasing ghosts. She pushed through the sticky door, the scent of stale beer and something metallic—copper, maybe—hitting her first. The bar was half-empty, the usual crowd of suits and shadowy figures hunched over drinks. Quinn scanned the room, her sharp jaw set. No sign of him. Then—a movement near the back. A bookshelf. Too neat. Too obvious. She strode toward it, her boots splashing through puddles of spilled liquor. The wood groaned as she pressed her palm against it. Cold. Wrong. She knocked twice—sharp, military precision—and the shelf swung inward like it was waiting. Darkness swallowed her whole. A draft rushed out, carrying the stink of damp earth and something older, something that made her skin prickle. Quinn drew her service revolver, the weight familiar in her grip. The hidden room yawned before her, a narrow passage descending into blackness. A single flickering bulb cast long shadows on the stone steps. She hesitated. Footsteps echoed from below. Light. Hurried. The suspect was already down there. Quinn exhaled through her nose, the breath fogging in the cold. She holstered the gun, unsnapped her torch instead, and descended. The air grew thicker, heavier, like the city’s breath itself was pressing down on her. The walls were slick with moisture, the torchlight revealing graffiti—symbols she didn’t recognise, some looking like claw marks, others like twisted sigils. The passage twisted, then opened into a cavernous space. The Veil Market. Stalls lined the edges, their wares glowing faintly in the dim light—bottles of swirling liquid, bundles of herbs that smelled like decay, bones strung together like wind chimes. The air hummed with something electric, something *wrong*. Quinn’s fingers twitched toward her gun again. And then she saw him. The suspect—face pale, eyes darting—was weaving through the crowd, shoving past a stall selling what looked like jars of eyeballs. Quinn moved fast, cutting him off before he reached the far end. “Police,” she barked, her voice cutting through the murmur of haggling voices. “Hands where I can see them.” He froze, then turned slowly. A smirk twisted his lips. “You’re not supposed to be here, Detective.” Quinn’s torch flickered over his face. “Neither are you.” A laugh, sharp and brittle. “This ain’t your jurisdiction.” “Neither’s yours,” she shot back. “What’s down here?” His smirk faltered. “Business.” She didn’t buy it. Not for a second. The market was a den of thieves, witches, and worse. And he was running from something—or someone. A hand clamped onto her shoulder. Quinn spun, torch swinging up—just in time to see the glint of a knife. The blade flashed. She sidestepped, the edge grazing her arm. Pain flared, hot and bright. She drove her elbow into his gut, then twisted, slamming him against a stall. Glass shattered. Something wet splattered her face. The suspect gasped, doubling over. Quinn pressed her forearm to his throat, pinning him. “Talk,” she growled. His eyes rolled back. “Fine. Fine—it’s not me you’re after.” Quinn’s grip tightened. “Who, then?” A voice cut through the chaos. “Detective Quinn.” She turned. A man stood at the edge of the torchlight, his olive skin slick with sweat, a medallion glinting at his throat. Tomás Herrera. The paramedic. The one who’d been asking too many questions. His dark eyes locked onto hers. “You shouldn’t have followed him.” Quinn’s finger twitched toward her gun. “Step away from him.” Tomás didn’t move. “He’s not your problem.” “Neither are you.” A beat. The market seemed to hold its breath. Then Tomás exhaled, slow and steady. “You’re in over your head.” Quinn’s torch flickered. The shadows stretched long and hungry. She knew he was right. But she wasn’t backing down.
created_at"2026-02-20T19:28:34.396Z" 2/20/2026, 7:28:34 PM
model"mistralai/ministral-14b-2512"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency265
moderation_latency(null)
generation_time7699
tokens_prompt1140
tokens_completion1178
native_tokens_prompt1027
native_tokens_completion989
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"
usage0.0004032
router(null)
provider_responses
0
endpoint_id"0b53717b-9af5-4de3-80af-ebedd2adf981"
id"378a0779b2ee434ab44d3fe1729da4ef"
is_byokfalse
latency265
model_permaslug"mistralai/ministral-14b-2512"
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771615714-atEEzyYs5L8T8pQYOl4v"
upstream_id"378a0779b2ee434ab44d3fe1729da4ef"
total_cost0.0004032
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)
dialogueSentences17
tagDensity0.176
leniency0.353
rawRatio0
effectiveRatio0
92.88% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount702
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)
14.53% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount702
totalAiIsms12
found
0
word"flickered"
count3
1
word"scanned"
count1
2
word"weight"
count1
3
word"familiar"
count1
4
word"footsteps"
count1
5
word"echoed"
count1
6
word"electric"
count1
7
word"glint"
count1
8
word"shattered"
count1
9
word"glinting"
count1
highlights
0"flickered"
1"scanned"
2"weight"
3"familiar"
4"footsteps"
5"echoed"
6"electric"
7"glint"
8"shattered"
9"glinting"
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
narrationSentences81
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences81
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences95
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords686
ratio0.001
matches
0"wrong"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
46.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions22
wordCount627
uniqueNames8
maxNameDensity2.07
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
God1
Quinn13
Raven1
Nest1
Veil1
Market1
Herrera1
Tomás3
persons
0"God"
1"Quinn"
2"Raven"
3"Nest"
4"Market"
5"Herrera"
6"Tomás"
places(empty)
globalScore0.463
windowScore0.667
33.72% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences43
glossingSentenceCount2
matches
0"smelled like decay, bones strung together"
1"looked like jars of eyeballs"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount686
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences95
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs41
mean16.73
std15.44
cv0.923
sampleLengths
052
147
238
337
44
553
62
712
821
946
103
1143
125
1332
1418
1517
169
179
188
194
2025
216
2214
2336
2414
253
2610
275
286
292
302
3133
3211
3310
347
353
369
3711
389
395
405
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences81
matches(empty)
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount6
totalVerbs114
matches
0"wasn’t letting"
1"was waiting"
2"was pressing"
3"was weaving"
4"was running"
5"wasn’t backing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount13
semicolonCount0
flaggedSentences9
totalSentences95
ratio0.095
matches
0"The suspect—some wiry bloke in a too-long coat—had ducked inside moments before her, but Quinn wasn’t letting him slip through her fingers again."
1"She pushed through the sticky door, the scent of stale beer and something metallic—copper, maybe—hitting her first."
2"Then—a movement near the back."
3"She knocked twice—sharp, military precision—and the shelf swung inward like it was waiting."
4"The walls were slick with moisture, the torchlight revealing graffiti—symbols she didn’t recognise, some looking like claw marks, others like twisted sigils."
5"Stalls lined the edges, their wares glowing faintly in the dim light—bottles of swirling liquid, bundles of herbs that smelled like decay, bones strung together like wind chimes."
6"The suspect—face pale, eyes darting—was weaving through the crowd, shoving past a stall selling what looked like jars of eyeballs."
7"And he was running from something—or someone."
8"Quinn spun, torch swinging up—just in time to see the glint of a knife."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount642
adjectiveStacks0
stackExamples(empty)
adverbCount24
adverbRatio0.037383177570093455
lyAdverbCount2
lyAdverbRatio0.003115264797507788
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences95
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences95
mean7.22
std5.66
cv0.783
sampleLengths
012
118
219
33
423
57
617
715
88
94
105
112
122
132
1412
1510
161
171
1813
194
2019
2111
2212
2311
242
254
261
271
286
2911
3010
3115
3222
339
343
3528
368
377
385
3920
4012
4112
426
435
445
457
466
473
485
494
57.89% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.37894736842105264
totalSentences95
uniqueOpeners36
99.50% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences67
matches
0"Then—a movement near the back."
1"Then Tomás exhaled, slow and"
ratio0.03
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount15
totalSentences67
matches
0"She didn’t slow."
1"She pushed through the sticky"
2"She strode toward it, her"
3"She knocked twice—sharp, military precision—and"
4"She holstered the gun, unsnapped"
5"she barked, her voice cutting"
6"He froze, then turned slowly."
7"she shot back"
8"His smirk faltered."
9"She didn’t buy it."
10"She sidestepped, the edge grazing"
11"She drove her elbow into"
12"His eyes rolled back."
13"His dark eyes locked onto"
14"She knew he was right."
ratio0.224
19.70% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount59
totalSentences67
matches
0"The rain hammered down like"
1"Harlow Quinn pulled her collar"
2"The neon glow of The"
3"She didn’t slow."
4"The suspect—some wiry bloke in"
5"She pushed through the sticky"
6"The bar was half-empty, the"
7"Quinn scanned the room, her"
8"She strode toward it, her"
9"The wood groaned as she"
10"She knocked twice—sharp, military precision—and"
11"Darkness swallowed her whole."
12"A draft rushed out, carrying"
13"Quinn drew her service revolver,"
14"The hidden room yawned before"
15"A single flickering bulb cast"
16"Footsteps echoed from below."
17"The suspect was already down"
18"Quinn exhaled through her nose,"
19"She holstered the gun, unsnapped"
ratio0.881
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences67
matches(empty)
ratio0
83.33% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences24
technicalSentenceCount2
matches
0"A draft rushed out, carrying the stink of damp earth and something older, something that made her skin prickle."
1"Stalls lined the edges, their wares glowing faintly in the dim light—bottles of swirling liquid, bundles of herbs that smelled like decay, bones strung together…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount1
matches
0"she barked, her voice cutting through the murmur of haggling voices"
32.35% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount2
fancyTags
0"she barked (bark)"
1"she growled (growl)"
dialogueSentences17
tagDensity0.118
leniency0.235
rawRatio1
effectiveRatio0.235
72.6748%