Run: 2026-03-18-01KM0AE04844C8TAENR1JGPNPA

Run Details

Duration:
16.0s
Cost:
$0.001016
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 neon glow of Soho into smudged blurs of colour. Detective Harlow Quinn kept her stride steady, boots splashing through puddles that reflected flickering signs. She adjusted the cuff of her trench coat, fingers brushing the worn leather of her watch. Twenty past ten. Late enough to keep witnesses indoors. Late enough for trouble to slink out from under doorways. She’d been tailing Herrera for three hours. Watching from the shadows outside the clinic where he’d stitched up some lowlife’s bullet wound. Not asking questions, not making notes—just standing there under the flicker of a faulty streetlamp, rain dripping from the brim of her hat. He’d noticed. Not with a start—with a tilt of the head, quick eyes scanning the street like a man who knew the eyes of the law would follow. But he hadn’t run. Not yet. She expected it soon. A black cab swerved past, horn blaring. Water sprayed up, drenching her from ankle to knee. She didn’t flinch. Didn’t even blink. Herrera turned the corner onto Old Compton Street, his silhouette swallowed briefly by the awning of a shuttered jazz club. Quinn crossed the road without breaking her pace. Bypassers got out of her way—shoulders tensed, hands clutching umbrellas like shields. She didn’t acknowledge them. Her focus was narrow, tunnel-like. Target in sight. He glanced back once. Their eyes met across thirty feet of wet tarmac. No surprise in his gaze—only calculation, like a chess player sizing up her opponent. She didn’t slow. Didn’t speed up. Just kept walking. His jaw tightened. Then he ducked down an alley. Quinn didn’t hesitate. She lunged into the darkness between a closed shoe shop and a boarded-up kebab joint. The alley reeked of spilled beer and old oil. Garbage bags burst, their contents spewing onto the damp stones. She skidded on a soggy newspaper, caught herself against the wall. Cold brick bit through her coat. Her breath came controlled, measured. At the far end of the alley, a metal fire escape groaned under Herrera’s weight as he climbed. She followed, boots clanging on rusted rungs. The rain made the iron slick. Her gloved fingers dug into the edges, knees bending to absorb the shock. He reached the roof first, boots scraping on the tarred surface. Quinn pulled herself up just in time to see him sprint across the gravel-strewn rooftop toward the opposite edge—the one overlooking a narrow service alley where a green neon sign flickered like a dying pulse. The sign read: THE RAVEN’S NEST. Quinn’s chest tightened. She knew the place. Knew the whispers. A bar for those who didn’t leave tracks. Herrera vaulted onto the fire escape of the next building. Quinn didn’t hesitate. She leapt, caught the railing, swung her leg over. Her knee twinged—old injury from the Morris debacle—but she gritted her teeth and pushed through. Pain was just data. Herrera disappeared down a second fire escape, this one leading into a dimly lit courtyard lit by a single flickering bulb. Quinn followed, boots landing in a puddle of oily water. Her watch read 10:42. Time felt meaningless here. It stretched. It bent. The courtyard opened into a narrow street, slick with rain and neon. There, across the road, Herrera ducked into a pub. A green neon sign buzzed above the door, casting an eerie glow on the puddles. Quinn didn’t slow. She pushed through the door of The Raven’s Nest, shoulders brushing past a man in a long coat who smelled faintly of cigarette smoke and something older—damp earth and iron. The bar’s interior hit her like a punch: thick with cigarette haze, amber light, the murmur of hushed voices. The walls were papered with old city maps and black-and-white photographs of long-dead faces staring back. A jukebox in the corner played something slow and bluesy, barely audible under the clink of glasses. Herrera stood at the far end of the bar, exchanging words with the bartender—a wiry man with a scar through one eyebrow and sleeves rolled up to reveal tattoos that looked like they belonged to sailors from the last century. Quinn moved forward, rainwater dripping from her coat, forming a dark pool at her feet. The bartender saw her first. His eyes flicked to her, then to Herrera, then back. His fingers tightened on a glass. Quinn didn’t stop until she stood beside Herrera. He turned slowly, arms crossed. His Saint Christopher medallion gleamed under the dim light. “Detective,” he said softly, like he’d been expecting her. She didn’t smile. Didn’t blink. “Tomás,” she said flatly. “Funny place for a chat.” The bartender slid a glass toward Herrera. It had been half-filled with amber liquid—whiskey, maybe. Herrera didn’t touch it. “Not a chat,” Herrera said. “A detour.” Quinn glanced around. The patrons—men, women, a few who didn’t look quite human—all seemed to lean in. A woman with too-white teeth smiled at her from a booth. Behind the bar, framed photos watched like silent witnesses. Then she smelled it. Incense. Not the cheap kind. The kind that burned in holy places. Rosemary and myrrh—something protective. Quinn’s fingers twitched. Her watch felt heavier. Herrera stepped closer. His voice dropped. “You’re tracking ghosts, Detective. Real ones.” A shiver ran down her spine, but she kept her face neutral. “And you’re patching up bullets.” He sighed. “Some wounds aren’t mine.” Quinn’s eyes flicked to the bartender, then to a narrow hallway behind him. A bookshelf. At the far end, a sliver of darkness—like a gap in the wall. “Where does that go?” she asked, chin tilting toward it. Herrera didn’t respond. But his eyes said everything. A back room. A secret room. Where the Veil Market waited. Herrera leaned in. “You can follow me now. Or wait. Your call.” Rain still drummed against the windows. Somewhere beneath the city, the Veil Market pulsed—alive, hidden, dangerous. Herrera reached into his pocket. Pulled out a small, white bone token. He set it on the bar with a quiet *click*. Quinn’s pulse spiked. Below Soho, beneath clay and iron and forgotten tunnels, the market waited. And it was always open.
created_at"2026-03-18T11:13:57.909Z" 3/18/2026, 11:13:57 AM
model"mistralai/mistral-small-2603" 1/1/2603, 12:00:00 AM
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency414
moderation_latency(null)
generation_time15939
tokens_prompt1140
tokens_completion1653
native_tokens_prompt1039
native_tokens_completion1433
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"
usage0.00101565
router(null)
provider_responses
0
endpoint_id"f5ed6283-4e17-457d-98cd-2ec0c318171d"
id"00d4d2ea7315452ea30b5ec4f0f777bc"
is_byokfalse
latency414
model_permaslug"mistralai/mistral-small-2603" 1/1/2603, 12:00:00 AM
provider_name"Mistral"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773832437-CnJ9foxqSjL0r1EzbwC1"
upstream_id"00d4d2ea7315452ea30b5ec4f0f777bc"
total_cost0.00101565
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
totalTags4
adverbTagCount2
adverbTags
0"he said softly [softly]"
1"she said flatly [flatly]"
dialogueSentences10
tagDensity0.4
leniency0.8
rawRatio0.5
effectiveRatio0.4
90.33% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1034
totalAiIsmAdverbs2
found
0
adverb"slowly"
count1
1
adverb"softly"
count1
highlights
0"slowly"
1"softly"
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)
wordCount1034
totalAiIsms12
found
0
word"flicker"
count1
1
word"scanning"
count1
2
word"measured"
count1
3
word"weight"
count1
4
word"flickered"
count1
5
word"pulse"
count2
6
word"eyebrow"
count1
7
word"flicked"
count2
8
word"down her spine"
count1
9
word"pulsed"
count1
highlights
0"flicker"
1"scanning"
2"measured"
3"weight"
4"flickered"
5"pulse"
6"eyebrow"
7"flicked"
8"down her spine"
9"pulsed"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"shiver down spine"
count1
highlights
0"A shiver ran down her spine"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences118
matches(empty)
94.43% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount1
narrationSentences118
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences124
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen41
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords1020
ratio0.001
matches
0"click"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions48
wordCount980
uniqueNames15
maxNameDensity1.63
worstName"Herrera"
maxWindowNameDensity3.5
worstWindowName"Herrera"
discoveredNames
Soho2
Harlow1
Quinn14
Herrera16
Old1
Compton1
Street1
Morris1
Raven1
Nest1
Saint1
Christopher1
Veil2
Market2
Didn3
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Morris"
4"Raven"
5"Saint"
6"Christopher"
7"Market"
places
0"Soho"
1"Old"
2"Compton"
3"Street"
globalScore0.684
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences64
glossingSentenceCount1
matches
0"looked like they belonged to sailors from"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1020
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences124
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs48
mean21.25
std20.98
cv0.987
sampleLengths
067
179
24
322
452
545
63
756
844
946
106
1118
1241
1343
1436
153
1682
1740
1836
1922
209
215
229
2319
247
2537
264
271
2815
297
306
316
3212
335
346
3528
3610
378
383
393
405
4112
4216
4312
4410
453
4612
475
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences118
matches
0"were papered"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs172
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount15
semicolonCount0
flaggedSentences13
totalSentences124
ratio0.105
matches
0"Not asking questions, not making notes—just standing there under the flicker of a faulty streetlamp, rain dripping from the brim of her hat."
1"Not with a start—with a tilt of the head, quick eyes scanning the street like a man who knew the eyes of the law would follow."
2"Bypassers got out of her way—shoulders tensed, hands clutching umbrellas like shields."
3"No surprise in his gaze—only calculation, like a chess player sizing up her opponent."
4"Quinn pulled herself up just in time to see him sprint across the gravel-strewn rooftop toward the opposite edge—the one overlooking a narrow service alley where a green neon sign flickered like a dying pulse."
5"Her knee twinged—old injury from the Morris debacle—but she gritted her teeth and pushed through."
6"She pushed through the door of The Raven’s Nest, shoulders brushing past a man in a long coat who smelled faintly of cigarette smoke and something older—damp earth and iron."
7"Herrera stood at the far end of the bar, exchanging words with the bartender—a wiry man with a scar through one eyebrow and sleeves rolled up to reveal tattoos that looked like they belonged to sailors from the last century."
8"It had been half-filled with amber liquid—whiskey, maybe."
9"The patrons—men, women, a few who didn’t look quite human—all seemed to lean in."
10"Rosemary and myrrh—something protective."
11"At the far end, a sliver of darkness—like a gap in the wall."
12"Somewhere beneath the city, the Veil Market pulsed—alive, hidden, dangerous."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1001
adjectiveStacks0
stackExamples(empty)
adverbCount35
adverbRatio0.03496503496503497
lyAdverbCount10
lyAdverbRatio0.00999000999000999
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences124
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences124
mean8.23
std6.64
cv0.807
sampleLengths
017
115
216
33
46
510
67
715
823
92
1026
114
122
134
147
159
163
173
1820
198
2012
214
225
233
244
259
2614
273
283
293
303
316
323
3315
349
3510
3611
376
385
3918
407
416
4213
4311
4435
456
463
474
483
498
53.76% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.3467741935483871
totalSentences124
uniqueOpeners43
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences109
matches
0"Just kept walking."
1"Then he ducked down an"
2"Then she smelled it."
3"Somewhere beneath the city, the"
ratio0.037
98.90% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences109
matches
0"She adjusted the cuff of"
1"She’d been tailing Herrera for"
2"She expected it soon."
3"She didn’t flinch."
4"She didn’t acknowledge them."
5"Her focus was narrow, tunnel-like."
6"He glanced back once."
7"Their eyes met across thirty"
8"She didn’t slow."
9"His jaw tightened."
10"She lunged into the darkness"
11"She skidded on a soggy"
12"Her breath came controlled, measured."
13"She followed, boots clanging on"
14"Her gloved fingers dug into"
15"He reached the roof first,"
16"She knew the place."
17"She leapt, caught the railing,"
18"Her knee twinged—old injury from"
19"Her watch read 10:42."
ratio0.303
83.85% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount82
totalSentences109
matches
0"The rain came down in"
1"Detective Harlow Quinn kept her"
2"She adjusted the cuff of"
3"She’d been tailing Herrera for"
4"She expected it soon."
5"A black cab swerved past,"
6"Water sprayed up, drenching her"
7"She didn’t flinch."
8"Herrera turned the corner onto"
9"Quinn crossed the road without"
10"Bypassers got out of her"
11"She didn’t acknowledge them."
12"Her focus was narrow, tunnel-like."
13"He glanced back once."
14"Their eyes met across thirty"
15"She didn’t slow."
16"His jaw tightened."
17"Quinn didn’t hesitate."
18"She lunged into the darkness"
19"The alley reeked of spilled"
ratio0.752
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences109
matches(empty)
ratio0
69.60% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences39
technicalSentenceCount4
matches
0"Detective Harlow Quinn kept her stride steady, boots splashing through puddles that reflected flickering signs."
1"She pushed through the door of The Raven’s Nest, shoulders brushing past a man in a long coat who smelled faintly of cigarette smoke and something older—damp ea…"
2"Herrera stood at the far end of the bar, exchanging words with the bartender—a wiry man with a scar through one eyebrow and sleeves rolled up to reveal tattoos …"
3"Quinn moved forward, rainwater dripping from her coat, forming a dark pool at her feet."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount1
matches
0"she asked, chin tilting toward it"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount0
fancyTags(empty)
dialogueSentences10
tagDensity0.4
leniency0.8
rawRatio0
effectiveRatio0
79.4282%