Run: 2026-03-18-01KM0A48D4WJK66ARX8JNR47KF

Run Details

Duration:
15.2s
Cost:
$0.001161
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 streets of Soho into a smear of neon and mercury. Neon signs bled pink and blue across wet pavement, their reflections dancing like broken holograms. Detective Harlow Quinn moved against the current, her breath steady, boots splashing through puddles that pooled in the cracks of the old London cobblestones. She kept her eyes locked on the shadow ahead—six foot something, black hoodie, jeans clinging to his legs. He wasn’t running like he wanted to get away. He was leading someone. Maybe her. Maybe someone else. Quinn’s jaw tightened. She adjusted the strap of her shoulder bag, the weight of her SIG Sauer pressing comfortingly against her ribs. The suspect—tall, lean, hands shoved deep in his pockets—ducked into a narrow alley. Not a side street. A squeeze-through. A common evasion against pursuers skilled in cutting corners. Quinn didn’t break stride. She clipped the raindrops from her brow with the back of her wrist, her closely cropped salt-and-pepper hair slick against her skull. She slid between two buildings, the stone cold and wet against her arms. The alley smelled of fried food and stale beer from a nearby awning, the pavement greasy and black. There was a fire escape ahead, rusted metal groaning under the weight of the downpour. No sign of him. Then a flicker—a hood disappearing down a rusted metal staircase that descended into darkness. Quinn paused at the top. The staircase spiraled down into what looked like the service entrance of a cellar, but the door at the bottom wasn’t labeled like a restaurant or a pub. No brass plaque. No number. Just a black door with a rusted handle, slightly ajar. She pulled her torch from her belt, flicked it on. The beam cut through the dark—brick walls slick with moisture, graffiti in shifting languages, and at the very bottom, a faint green glow pulsing like a heartbeat. Footsteps echoed. Not from the stairs. From behind her. Quinn spun. A man in a worn leather jacket stepped out from under the awning of a closed bistro, hands raised slightly in surrender. Warm brown eyes. Short curly dark hair. A Saint Christopher medallion glinted at his throat. “You’re gonna lose him if you don’t go down now,” he said. She didn’t lower the torch. “You Herrera?” “Tomás. Yeah.” “You know what’s down there?” “Not as well as I’d like,” he said. “But you don’t.” Quinn tightened her grip on the torch. The green glow at the bottom of the stairs flickered again, like something alive. “It’s not a pub kitchen,” Tomás added. “And that door doesn’t open to a wine cellar.” She stepped onto the first metal stair. It groaned under her weight, rainwater dripping from the rails onto her shoulder. “He’s not just running from you,” Tomás said, falling in behind her. “He’s running *into* something. Something that wants to be found.” The air grew colder as she descended. The green glow dilated—no longer a glow, but a sign. Distinctive. Three neon ravens in flight, curved around the shape of a dagger. The Raven’s Nest. Not a pub. A door. A gate. She paused at the bottom. The door stood open just enough to let out a breath of warm, spiced air that tasted like burnt sugar and iron. Through the crack, voices murmured in a language that wasn’t English. Tomás stepped beside her. “That’s not English pub talk.” Quinn didn’t answer. She pushed the door. Beyond lay a corridor—too clean for a cellar, too narrow for a tunnel. The walls were lined with old maps: Europe segmented into regions she didn’t recognize, lines drawn in what looked like ink, but shimmered faintly, like liquid mercury. Black-and-white photographs of people she couldn’t place—some dressed in Edwardian suits, others in modern gear—all stared at her with the same hollow eyes. The corridor ended in a spiral staircase descending into darkness. The air was thick with the scent of damp wool, ozone, and something older—like wet stone and old blood. She heard footsteps above. Not hers. His. The hooded figure was already halfway down the stairs. Tomás exhaled sharply. “That’s not the Nest’s stairs.” “Then where the hell are we?” “Somewhere older,” he said. “Somewhere that shouldn’t exist.” The first drop of rain touched the back of Quinn’s neck. She looked up. The staircase spiraled downward into the earth, the green glow of the sign reflected in the puddles below, fractured and shifting. She gripped the railing. The metal was warm. “He’s not running,” Tomás said quietly. “He’s fleeing. And whatever’s behind him isn’t just chasing. It’s *hungry*.” Quinn looked at him for the first time. His medallion was warm too. Too warm. Then from below—a sound like wet silk being torn. A whisper in no human tongue. It curled around her ankles and slithered up her spine. The hooded figure reached the bottom. Turned. Looked up. His face wasn’t visible in the dark. But his voice was. “Detective,” he said, calm, almost amused. “You’re just in time.” Tomás stepped closer. His voice dropped. “I can close the door. Permanently. But only from the other side.” Quinn stepped forward. Her boot splashed in a puddle that wasn’t water. The corridor behind them shimmered. The maps flickered. The photographs trembled. She descended into the dark. The door swung shut above them. The sound of something heavy breathing filled the air—not from the stairs, not from the corridor. From the walls. From the maps. From the dark itself. Tomás lit a match. A small flame curled in his palm. “Keep going,” he said. “Don’t stop. Don’t look back.” She gripped the rail. The stairs gave way beneath her boots. The green light from the Raven’s Nest lingered above like a dying star. Then it winked out.
created_at"2026-03-18T11:08:38.705Z" 3/18/2026, 11:08:38 AM
model"mistralai/mistral-small-2603" 1/1/2603, 12:00:00 AM
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency483
moderation_latency(null)
generation_time15120
tokens_prompt1140
tokens_completion2102
native_tokens_prompt1039
native_tokens_completion1743
native_tokens_completion_images(null)
native_tokens_reasoning530
native_tokens_cached304
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"
usage0.00116061
router(null)
provider_responses
0
endpoint_id"f5ed6283-4e17-457d-98cd-2ec0c318171d"
id"1cc349587f9046f3ab1608432d88fa62"
is_byokfalse
latency481
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-1773832118-Ff54cfu4AOROXgs8e12M"
upstream_id"1cc349587f9046f3ab1608432d88fa62"
total_cost0.00116061
cache_discount0.00004104
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
totalTags8
adverbTagCount1
adverbTags
0"Tomás said quietly [quietly]"
dialogueSentences22
tagDensity0.364
leniency0.727
rawRatio0.125
effectiveRatio0.091
79.45% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount973
totalAiIsmAdverbs4
found
0
adverb"slightly"
count2
1
adverb"very"
count1
2
adverb"sharply"
count1
highlights
0"slightly"
1"very"
2"sharply"
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)
12.64% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount973
totalAiIsms17
found
0
word"dancing"
count1
1
word"weight"
count3
2
word"flicker"
count1
3
word"flicked"
count1
4
word"footsteps"
count2
5
word"echoed"
count1
6
word"flickered"
count2
7
word"shimmered"
count2
8
word"fractured"
count1
9
word"silk"
count1
10
word"whisper"
count1
11
word"trembled"
count1
highlights
0"dancing"
1"weight"
2"flicker"
3"flicked"
4"footsteps"
5"echoed"
6"flickered"
7"shimmered"
8"fractured"
9"silk"
10"whisper"
11"trembled"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"let out a breath"
count1
1
label"air was thick with"
count1
highlights
0"let out a breath"
1"The air was thick with"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences108
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences108
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences122
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords2
totalWords962
ratio0.002
matches
0"into"
1"hungry"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
90.76% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions30
wordCount844
uniqueNames13
maxNameDensity1.18
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn10
London1
Sauer1
Saint1
Christopher1
Raven2
Nest2
English1
Europe1
Edwardian1
Tomás7
persons
0"Harlow"
1"Quinn"
2"Sauer"
3"Saint"
4"Christopher"
5"Raven"
6"Nest"
7"Tomás"
places
0"Soho"
1"London"
2"Europe"
globalScore0.908
windowScore1
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences49
glossingSentenceCount3
matches
0"looked like the service entrance of a cel"
1"tasted like burnt sugar and iron"
2"looked like ink, but shimmered faintly, l"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount962
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences122
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs48
mean20.04
std17.1
cv0.853
sampleLengths
057
158
254
364
448
537
69
739
812
95
102
112
125
1311
1421
1516
1620
1722
1840
1927
2011
219
227
2363
2429
2516
268
276
288
2935
308
3117
3215
3325
349
357
364
3710
3818
3912
4011
415
426
4326
4420
4511
4613
474
98.77% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences108
matches
0"were lined"
1"being torn"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs134
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount12
semicolonCount0
flaggedSentences10
totalSentences122
ratio0.082
matches
0"She kept her eyes locked on the shadow ahead—six foot something, black hoodie, jeans clinging to his legs."
1"The suspect—tall, lean, hands shoved deep in his pockets—ducked into a narrow alley."
2"Then a flicker—a hood disappearing down a rusted metal staircase that descended into darkness."
3"The beam cut through the dark—brick walls slick with moisture, graffiti in shifting languages, and at the very bottom, a faint green glow pulsing like a heartbeat."
4"The green glow dilated—no longer a glow, but a sign."
5"Beyond lay a corridor—too clean for a cellar, too narrow for a tunnel."
6"Black-and-white photographs of people she couldn’t place—some dressed in Edwardian suits, others in modern gear—all stared at her with the same hollow eyes."
7"The air was thick with the scent of damp wool, ozone, and something older—like wet stone and old blood."
8"Then from below—a sound like wet silk being torn."
9"The sound of something heavy breathing filled the air—not from the stairs, not from the corridor."
88.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount860
adjectiveStacks2
stackExamples
0"suspect—tall, lean, hands"
1"Short curly dark hair."
adverbCount34
adverbRatio0.03953488372093023
lyAdverbCount8
lyAdverbRatio0.009302325581395349
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences122
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences122
mean7.89
std6.31
cv0.8
sampleLengths
018
115
224
318
49
54
62
73
83
919
1013
114
122
139
144
1522
1613
1718
1815
194
2014
215
2228
233
242
2510
2610
2727
282
294
303
312
3222
333
344
358
3612
375
382
392
405
418
423
437
4414
457
469
477
4813
4912
36.61% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats17
diversityRatio0.30327868852459017
totalSentences122
uniqueOpeners37
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences90
matches
0"Maybe someone else."
1"Then a flicker—a hood disappearing"
2"Just a black door with"
3"Then from below—a sound like"
4"Then it winked out."
ratio0.056
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences90
matches
0"She kept her eyes locked"
1"He wasn’t running like he"
2"He was leading someone."
3"She adjusted the strap of"
4"She clipped the raindrops from"
5"She slid between two buildings,"
6"She pulled her torch from"
7"She didn’t lower the torch."
8"She stepped onto the first"
9"It groaned under her weight,"
10"She paused at the bottom."
11"She pushed the door."
12"She heard footsteps above."
13"She looked up."
14"She gripped the railing."
15"His medallion was warm too."
16"It curled around her ankles"
17"His face wasn’t visible in"
18"he said, calm, almost amused"
19"His voice dropped."
ratio0.256
82.22% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount68
totalSentences90
matches
0"The rain came down in"
1"Neon signs bled pink and"
2"Detective Harlow Quinn moved against"
3"She kept her eyes locked"
4"He wasn’t running like he"
5"He was leading someone."
6"Quinn’s jaw tightened."
7"She adjusted the strap of"
8"The suspect—tall, lean, hands shoved"
9"A common evasion against pursuers"
10"Quinn didn’t break stride."
11"She clipped the raindrops from"
12"She slid between two buildings,"
13"The alley smelled of fried"
14"Quinn paused at the top."
15"The staircase spiraled down into"
16"She pulled her torch from"
17"The beam cut through the"
18"A man in a worn"
19"A Saint Christopher medallion glinted"
ratio0.756
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences90
matches(empty)
ratio0
99.57% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
technicalSentenceCount2
matches
0"Detective Harlow Quinn moved against the current, her breath steady, boots splashing through puddles that pooled in the cracks of the old London cobblestones."
1"Then a flicker—a hood disappearing down a rusted metal staircase that descended into darkness."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount1
fancyTags
0"Tomás added (add)"
dialogueSentences22
tagDensity0.364
leniency0.727
rawRatio0.125
effectiveRatio0.091
81.8226%