Run: 2026-02-20-01KHXPYYCFP4AN4EPZ52Z9GEBT

Run Details

Duration:
20.0s
Cost:
$0.002006
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 came down in sheets, turning the London streets into a slick, shimmering maze. Harlow Quinn’s boots splashed through puddles as she rounded the corner, her breath coming in sharp, controlled bursts. The neon glow of Soho’s signs blurred through the downpour, casting long, wavering reflections on the wet pavement. There. A figure darted ahead, weaving between the late-night stragglers huddled under awnings. Tomás Herrera—his dark curls plastered to his forehead, the Saint Christopher medallion bouncing against his chest with each stride. He glanced back, eyes wide, before ducking into a narrow alley. Quinn didn’t hesitate. She broke into a sprint, her leather jacket slick with rain, the weight of her service weapon pressing against her ribs. The alley reeked of stale beer and cigarette smoke, the walls lined with overflowing bins. Herrera vaulted over a stack of crates, his scarred forearm flashing as he steadied himself against the brick. "Police! Stop!" Quinn’s voice cut through the rain, sharp as a blade. Herrera didn’t stop. He skidded around another corner, his boots slipping on the wet cobblestones. Quinn followed, her pulse hammering in her throat. She knew these streets, but Herrera knew them better. He’d been running them for years—off the books, under the radar, patching up the kind of people who didn’t exist in official reports. The alley spilled into a wider street, the green neon sign of *The Raven’s Nest* flickering in the distance. Herrera didn’t head for the bar. Instead, he veered left, toward a boarded-up storefront with peeling paint. Quinn’s jaw tightened. That wasn’t just any abandoned shop. It was a known entry point—one of many scattered across the city. She slowed, her fingers brushing the grip of her gun. The rain drummed against the pavement, drowning out the distant hum of traffic. Herrera paused at the door, his chest heaving. He looked back at her, water streaming down his face, and for a second, she thought he might surrender. Then he smirked. The door creaked open. A gust of stale, damp air rushed out, carrying the scent of old stone and something else—something metallic, like rust and copper. Herrera slipped inside, the door slamming shut behind him. Quinn exhaled through her nose. She knew what lay beyond that door. Or at least, she knew enough to be wary. The Veil Market wasn’t on any map. It wasn’t a place you stumbled into by accident. You needed a token. You needed an invitation. She didn’t have either. Her boots splashed through a puddle as she approached the door. The wood was warped, the paint chipped. A single word was scrawled in faded chalk: *Down.* Quinn’s fingers curled into a fist. She could call it in. Wait for backup. But backup wouldn’t know what they were walking into. Backup wouldn’t understand why Herrera had run—or why he’d led her here. She pushed the door open. The stairs descended into darkness, the air growing colder with each step. The walls were damp, the stone slick under her palms as she steadied herself. A faint, flickering light pulsed at the bottom, casting long, shifting shadows. Then she heard it—the murmur of voices, the clink of glass, the low hum of something that wasn’t quite music. The scent of incense and burning herbs curled through the air, thick and cloying. Quinn reached the bottom. The tunnel opened into a cavernous space, the ceiling lost in the gloom. Stalls lined the walls, their wares hidden beneath tattered cloths and flickering lanterns. Figures moved in the dim light—some human, some not. A woman with too many eyes turned her head to watch Quinn pass. A man with skin like polished obsidian offered her a vial of swirling liquid. Herrera was already gone, swallowed by the crowd. Quinn’s hand twitched toward her gun, but she didn’t draw it. Not yet. She stepped forward, her boots silent on the packed earth. The market pulsed around her, alive with whispers and secrets. A child—no, not a child, something wearing the shape of one—held out a small bone token. "Lost, are you?" it asked, its voice too old, too knowing. Quinn ignored it. She scanned the crowd, her sharp eyes picking out details—the way the shadows pooled unnaturally in the corners, the way the air shimmered near certain stalls. She wasn’t just looking for Herrera. She was looking for answers. And she wasn’t leaving without them.
created_at"2026-02-20T14:23:49.147Z" 2/20/2026, 2:23:49 PM
model"mistralai/mistral-large-2512" 1/1/2512, 12:00:00 AM
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency608
moderation_latency(null)
generation_time19965
tokens_prompt1140
tokens_completion1155
native_tokens_prompt1027
native_tokens_completion995
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"
usage0.002006
router(null)
provider_responses
0
endpoint_id"fa718841-07ea-4b7e-b8a3-6069545c7e6a"
id"24a3ef488e0143da9d3538bdf0176b64"
is_byokfalse
latency608
model_permaslug"mistralai/mistral-large-2512" 1/1/2512, 12:00:00 AM
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771597429-yd8acnoUh4HL8RVaJcrK"
upstream_id"24a3ef488e0143da9d3538bdf0176b64"
total_cost0.002006
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
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences2
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount743
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
39.43% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount743
totalAiIsms9
found
0
word"wavering"
count1
1
word"weight"
count1
2
word"pulse"
count1
3
word"streaming"
count1
4
word"pulsed"
count2
5
word"gloom"
count1
6
word"scanned"
count1
7
word"shimmered"
count1
highlights
0"wavering"
1"weight"
2"pulse"
3"streaming"
4"pulsed"
5"gloom"
6"scanned"
7"shimmered"
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
narrationSentences71
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences71
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences71
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen27
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords4
totalWords731
ratio0.005
matches
0"The Raven’s Nest"
1"Down."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
74.24% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions28
wordCount726
uniqueNames9
maxNameDensity1.52
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Herrera"
discoveredNames
London1
Quinn11
Soho1
Herrera10
Saint1
Christopher1
Raven1
Veil1
Market1
persons
0"Quinn"
1"Herrera"
2"Saint"
3"Christopher"
4"Raven"
places
0"London"
1"Soho"
globalScore0.742
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences54
glossingSentenceCount1
matches
0"quite music"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount731
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences71
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs24
mean30.46
std19.9
cv0.653
sampleLengths
051
11
242
357
412
555
657
750
83
935
1045
114
1227
1335
145
1538
1634
174
1862
198
2033
2127
2240
236
95.38% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences71
matches
0"was warped"
1"was scrawled"
31.93% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs119
matches
0"were walking"
1"was looking"
2"wasn’t leaving"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount10
semicolonCount0
flaggedSentences9
totalSentences71
ratio0.127
matches
0"Tomás Herrera—his dark curls plastered to his forehead, the Saint Christopher medallion bouncing against his chest with each stride."
1"He’d been running them for years—off the books, under the radar, patching up the kind of people who didn’t exist in official reports."
2"It was a known entry point—one of many scattered across the city."
3"A gust of stale, damp air rushed out, carrying the scent of old stone and something else—something metallic, like rust and copper."
4"Backup wouldn’t understand why Herrera had run—or why he’d led her here."
5"Then she heard it—the murmur of voices, the clink of glass, the low hum of something that wasn’t quite music."
6"Figures moved in the dim light—some human, some not."
7"A child—no, not a child, something wearing the shape of one—held out a small bone token."
8"She scanned the crowd, her sharp eyes picking out details—the way the shadows pooled unnaturally in the corners, the way the air shimmered near certain stalls."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount738
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.02168021680216802
lyAdverbCount1
lyAdverbRatio0.0013550135501355014
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences71
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences71
mean10.3
std5.65
cv0.549
sampleLengths
015
118
218
31
412
519
611
73
821
915
1018
1112
123
1312
148
159
1623
1719
186
1911
203
216
2212
2310
2413
258
2619
273
284
2922
309
315
327
339
347
359
364
374
384
3911
407
419
426
435
443
459
4612
475
4812
4914
51.64% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.352112676056338
totalSentences71
uniqueOpeners25
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences69
matches
0"Instead, he veered left, toward"
1"Then he smirked."
2"Then she heard it—the murmur"
ratio0.043
98.26% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences69
matches
0"He glanced back, eyes wide,"
1"She broke into a sprint,"
2"He skidded around another corner,"
3"She knew these streets, but"
4"He’d been running them for"
5"It was a known entry"
6"She slowed, her fingers brushing"
7"He looked back at her,"
8"She knew what lay beyond"
9"It wasn’t a place you"
10"You needed a token."
11"You needed an invitation."
12"She didn’t have either."
13"Her boots splashed through a"
14"She could call it in."
15"She pushed the door open."
16"She stepped forward, her boots"
17"it asked, its voice too"
18"She scanned the crowd, her"
19"She wasn’t just looking for"
ratio0.304
10.72% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount62
totalSentences69
matches
0"The rain came down in"
1"Harlow Quinn’s boots splashed through"
2"The neon glow of Soho’s"
3"A figure darted ahead, weaving"
4"Tomás Herrera—his dark curls plastered"
5"He glanced back, eyes wide,"
6"Quinn didn’t hesitate."
7"She broke into a sprint,"
8"The alley reeked of stale"
9"Herrera vaulted over a stack"
10"Quinn’s voice cut through the"
11"Herrera didn’t stop."
12"He skidded around another corner,"
13"Quinn followed, her pulse hammering"
14"She knew these streets, but"
15"He’d been running them for"
16"The alley spilled into a"
17"Herrera didn’t head for the"
18"Quinn’s jaw tightened."
19"That wasn’t just any abandoned"
ratio0.899
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences69
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences35
technicalSentenceCount1
matches
0"Then she heard it—the murmur of voices, the clink of glass, the low hum of something that wasn’t quite music."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount1
matches
0"it asked, its voice too old, too knowing"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences2
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
80.0539%