Run: 2026-02-20-01KHXPCPVVR4EFPBGBYMVEGS70

Run Details

Duration:
33.7s
Cost:
$0.003841
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
Rain hammered the pavement, each drop exploding into tiny crowns of silver under the flickering streetlamps. Harlow Quinn didn’t flinch. Her breath came steady, measured, as she rounded the corner of Greek Street, boots splashing through puddles deep enough to soak her ankles. The suspect—tall, lanky, dressed in a hooded jacket that flapped like a crow’s wings—ducked left, then right, weaving through the late-night stragglers with the ease of a man who knew these streets better than his own reflection. She didn’t. But she knew how to hunt. Ahead, the neon glow of Soho’s signs bled into the downpour, smearing colours into the wet air. The Raven’s Nest pulsed green in the distance, its light cutting through the rain like a beacon. The suspect glanced back—just for a second—and she caught the glint of something metallic in his hand. Not a knife. Too small. A token, maybe. His fingers clenched around it as he skidded to a halt outside the bar’s entrance, then veered sharp into the alley beside it. Harlow’s pulse kicked up. She slowed, pressing her back against the cold brick of the building, rain sliding down her neck. The alley was a gullet, dark and slick, the stink of old grease and damp cardboard thick in the air. She drew her sidearm, the weight of it familiar in her grip. No backup. No comms. Just the rain, the dark, and the echo of her own breathing. A crash. Metal on concrete. She moved. The alley spat her out into a dead-end courtyard, the walls lined with dumpsters and the skeletal remains of a fire escape. The suspect was already at the far end, prying open a rusted service hatch in the ground. His shoulders tensed as he glanced back, rain plastered his hood to his face, but she couldn’t make out his features. Didn’t need to. The way he moved—too quick, too *sure*—told her enough. This wasn’t some two-bit thief. This was someone who’d done this before. The hatch groaned as it gave way, revealing a ladder descending into blackness. He dropped down, the clang of his boots on metal ringing up like a challenge. Harlow hesitated. One second. Two. Then she holstered her gun and followed. The ladder was slick under her palms, the rungs cold enough to bite through her gloves. She descended fast, boots hitting the bottom with a thud that echoed. The air changed instantly—thicker, warmer, laced with the scent of burning herbs and something metallic, like old blood. A dim, flickering light pulsed ahead, casting long shadows that twisted along the tunnel walls. She pulled her torch, sweeping the beam ahead. The suspect was already twenty feet down the tunnel, his silhouette swallowed by the gloom. The walls were lined with graffiti—symbols, not tags. Circles within circles, jagged sigils that made her skin prickle. The floor sloped downward, the sound of distant voices and clinking glass growing louder with each step. Then the tunnel opened up. Harlow froze. The Veil Market sprawled before her, a grotesque bazaar carved into the bones of the abandoned Tube station. Stalls lined the platform, their wares displayed under the sickly glow of gas lamps and enchanted lanterns. Jars of pickled things that weren’t quite animal, bundles of herbs that writhed when no wind touched them, vials of liquid that shifted colour as she watched. The air hummed with the low murmur of haggling, the occasional sharp laugh, the wet, clicking sound of something moving in the dark corners. The suspect was already halfway across the platform, shoulder-checking past a stall selling what looked like human teeth strung on wire. Harlow’s fingers twitched toward her gun again, but she didn’t draw. Not here. Not yet. A woman with too many eyes turned to stare at her from behind a table of blackened bones. Harlow met her gaze, unblinking. The woman’s lips peeled back in a smile that didn’t reach any of her irises. “Lost, love?” Harlow ignored her, scanning the crowd. The suspect had stopped at a stall draped in heavy velvet, the vendor a gaunt man with fingers like spider legs. They exchanged words, too low to hear. Then the suspect handed over the token—*bone, it was bone*—and the vendor slid a small, cloth-wrapped package across the table. Harlow’s jaw tightened. *Drugs. Had to be.* But not the kind you bought on a street corner. She took a step forward, then another, her boot heels clicking against the tile. The market’s denizens turned, one by one, their attention snagging on her like barbs. A man with a face like melted wax sidled too close, his breath reeking of copper. “You ain’t got the look of a buyer, darlin’.” She didn’t break stride. “Move.” He didn’t. His hand shot out, gripping her wrist. She twisted, driving her elbow into his ribs. Bone cracked. He gasped, stumbling back, and she kept moving, her pulse a drumbeat in her throat. The suspect was on the move again, heading for a narrow archway at the far end of the platform. Harlow broke into a jog, shoving past a stall where something in a cage hissed at her, its too-many limbs rattling the bars. Then the lights flickered. The market went still. The chatter died. Even the hissing thing in the cage fell silent. Harlow skidded to a stop as the suspect turned, finally facing her. The hood had fallen back, revealing a young man—early twenties, maybe—with hollow cheeks and eyes that gleamed like polished obsidian. He held up the package, unwrapping it just enough to show her the contents. A vial. Filled with something dark, something that *moved*. “You shouldn’t be here, detective.” His voice was smooth, too calm. The kind of calm that came from knowing you’d already won. Harlow’s fingers hovered over her gun. “Step away from the product. Hands where I can see them.” The corner of his mouth twitched. “Or what? You’ll arrest me?” He glanced around, slow and deliberate. “You think your badge means anything down here?” The market’s patrons had closed in, a semicircle of bodies blocking her exit. The woman with too many eyes licked her lips. The melted-wax man cracked his knuckles, his broken ribs already knitting back together. Harlow’s watch dug into her wrist as she tightened her fist. The suspect took a step back, toward the archway. “Last chance,” she said. He laughed. Then he turned and ran. The crowd surged. Harlow lunged after him, ducking under a grasping arm, sidestepping a stall where something slithered in a jar. The archway loomed, the air beyond it colder, *wrong*. She didn’t slow down. Then the ground dropped out from under her. She hit the stairs hard, her shoulder slamming into the wall as she tumbled. Pain flared, sharp and bright, but she was up again in an instant, sprinting down the steps into the dark. The suspect’s footsteps echoed ahead, then stopped. She skidded to a halt. The tunnel ended in a dead end, the walls slick with moisture. The suspect stood in the centre, the vial clutched in his hand. He turned, slow, and smiled. “Told you you shouldn’t have followed.” Behind him, the wall *ripped* open. Not a door. Not a passage. The bricks *peeled* back like skin, revealing something black and endless and *hungry*. The air rushed toward it, howling, and the suspect’s grin widened. “See you on the other side, detective.” He stepped through. The wall sealed shut behind him.
created_at"2026-02-20T14:13:51.624Z" 2/20/2026, 2:13:51 PM
model"mistralai/mistral-medium-3.1" 3/1/2001, 12:00:00 AM
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency314
moderation_latency(null)
generation_time33647
tokens_prompt1140
tokens_completion1945
native_tokens_prompt1027
native_tokens_completion1715
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"
usage0.0038408
router(null)
provider_responses
0
endpoint_id"13c5002b-8c5b-490c-8a5f-52ec0242804f"
id"12ac70584cc94256ae0d1f836fe42483"
is_byokfalse
latency314
model_permaslug"mistralai/mistral-medium-3.1" 3/1/2001, 12:00:00 AM
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771596831-A8tCOzPdkjmXs8EtSft4"
upstream_id"12ac70584cc94256ae0d1f836fe42483"
total_cost0.0038408
cache_discount(null)
upstream_inference_cost0
provider_name"Mistral"

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount1
adverbTags
0"He glanced around [around]"
dialogueSentences10
tagDensity0.2
leniency0.4
rawRatio0.5
effectiveRatio0.2
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1259
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)
28.51% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1259
totalAiIsms18
found
0
word"measured"
count1
1
word"pulsed"
count2
2
word"beacon"
count1
3
word"glint"
count1
4
word"pulse"
count2
5
word"weight"
count1
6
word"familiar"
count1
7
word"echo"
count1
8
word"echoed"
count2
9
word"gloom"
count1
10
word"scanning"
count1
11
word"velvet"
count1
12
word"flickered"
count1
13
word"loomed"
count1
14
word"footsteps"
count1
highlights
0"measured"
1"pulsed"
2"beacon"
3"glint"
4"pulse"
5"weight"
6"familiar"
7"echo"
8"echoed"
9"gloom"
10"scanning"
11"velvet"
12"flickered"
13"loomed"
14"footsteps"
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
narrationSentences117
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences117
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences125
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans8
markdownWords14
totalWords1243
ratio0.011
matches
0"sure"
1"bone, it was bone"
2"Drugs. Had to be."
3"moved"
4"wrong"
5"ripped"
6"peeled"
7"hungry"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
95.24% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions22
wordCount1187
uniqueNames10
maxNameDensity1.1
worstName"Harlow"
maxWindowNameDensity2
worstWindowName"Harlow"
discoveredNames
Quinn1
Greek1
Street1
Soho1
Raven1
Nest1
Veil1
Market1
Tube1
Harlow13
persons
0"Quinn"
1"Raven"
2"Market"
3"Harlow"
places
0"Greek"
1"Street"
2"Soho"
globalScore0.952
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences77
glossingSentenceCount1
matches
0"looked like human teeth strung on wire"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1243
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences125
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs49
mean25.37
std24.67
cv0.972
sampleLengths
080
12
26
382
469
57
684
728
85
97
1061
1158
125
132
1486
1536
1638
172
1854
1917
2044
219
225
2334
2442
254
2616
2746
289
295
3017
3117
3225
3335
3420
354
367
373
3831
398
4041
415
4229
436
446
4530
467
473
486
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences117
matches
0"were lined"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs208
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount12
semicolonCount0
flaggedSentences7
totalSentences125
ratio0.056
matches
0"The suspect—tall, lanky, dressed in a hooded jacket that flapped like a crow’s wings—ducked left, then right, weaving through the late-night stragglers with the ease of a man who knew these streets better than his own reflection."
1"The suspect glanced back—just for a second—and she caught the glint of something metallic in his hand."
2"The way he moved—too quick, too *sure*—told her enough."
3"The air changed instantly—thicker, warmer, laced with the scent of burning herbs and something metallic, like old blood."
4"The walls were lined with graffiti—symbols, not tags."
5"Then the suspect handed over the token—*bone, it was bone*—and the vendor slid a small, cloth-wrapped package across the table."
6"The hood had fallen back, revealing a young man—early twenties, maybe—with hollow cheeks and eyes that gleamed like polished obsidian."
91.91% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1203
adjectiveStacks1
stackExamples
0"small, cloth-wrapped package"
adverbCount51
adverbRatio0.04239401496259352
lyAdverbCount4
lyAdverbRatio0.0033250207813798837
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences125
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences125
mean9.94
std6.97
cv0.701
sampleLengths
016
14
223
337
42
56
617
717
817
93
102
113
1223
134
1417
1520
1612
172
182
1912
202
213
222
2322
2417
2521
263
279
285
297
3013
3115
322
332
341
357
3616
3712
3818
3915
408
4115
428
4310
4417
455
462
4718
4817
4927
41.60% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.312
totalSentences125
uniqueOpeners39
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount8
totalSentences99
matches
0"Just the rain, the dark,"
1"Then she holstered her gun"
2"Then the tunnel opened up."
3"Then the suspect handed over"
4"Then the lights flickered."
5"Even the hissing thing in"
6"Then he turned and ran."
7"Then the ground dropped out"
ratio0.081
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences99
matches
0"Her breath came steady, measured,"
1"His fingers clenched around it"
2"She slowed, pressing her back"
3"She drew her sidearm, the"
4"His shoulders tensed as he"
5"He dropped down, the clang"
6"She descended fast, boots hitting"
7"She pulled her torch, sweeping"
8"They exchanged words, too low"
9"She took a step forward,"
10"She didn’t break stride."
11"His hand shot out, gripping"
12"She twisted, driving her elbow"
13"He gasped, stumbling back, and"
14"He held up the package,"
15"His voice was smooth, too"
16"He glanced around, slow and"
17"She didn’t slow down."
18"She hit the stairs hard,"
19"She skidded to a halt."
ratio0.222
50.91% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount81
totalSentences99
matches
0"Harlow Quinn didn’t flinch."
1"Her breath came steady, measured,"
2"The suspect—tall, lanky, dressed in"
3"The Raven’s Nest pulsed green"
4"The suspect glanced back—just for"
5"A token, maybe."
6"His fingers clenched around it"
7"Harlow’s pulse kicked up."
8"She slowed, pressing her back"
9"The alley was a gullet,"
10"She drew her sidearm, the"
11"Metal on concrete."
12"The alley spat her out"
13"The suspect was already at"
14"His shoulders tensed as he"
15"The way he moved—too quick,"
16"This wasn’t some two-bit thief."
17"This was someone who’d done"
18"The hatch groaned as it"
19"He dropped down, the clang"
ratio0.818
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences99
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences55
technicalSentenceCount3
matches
0"The suspect—tall, lanky, dressed in a hooded jacket that flapped like a crow’s wings—ducked left, then right, weaving through the late-night stragglers with the…"
1"Circles within circles, jagged sigils that made her skin prickle."
2"The hood had fallen back, revealing a young man—early twenties, maybe—with hollow cheeks and eyes that gleamed like polished obsidian."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences10
tagDensity0.1
leniency0.2
rawRatio0
effectiveRatio0
83.6056%