Run: 2026-10-07-01M4ASM35AH7KX9FQYHV6NK9QG

Run Details

Duration:
3m 22s
Cost:
$0.027816
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 Soho pavement in relentless sheets. Detective Harlow Quinn's boots splashed through puddles that mirrored neon fractured across the wet asphalt. She kept her eyes locked on the dark coat disappearing around the corner of Frith Street. Eighteen years of decorated service had taught her to read the rhythm of a city at night, but this suspect moved with the fluid certainty of someone who belonged to the shadows. The salt-and-pepper hair cropped close to her skull clung damp to her forehead. Her jaw ached from clenching. The green neon of The Raven's Nest flickered above the bar entrance. Old maps and black-and-white photographs lined the windows, faces from decades past staring out with hollow eyes. Quinn didn't break stride. The man didn't look back. She recognized the scar running along his left forearm from the surveillance photos—Tomás Herrera, former paramedic, current ghost in the system. The Saint Christopher medallion swung against his chest as he ducked through the bar's heavy door. Quinn followed. Inside, the air smelled of stale beer, spilled gin, and dust. The walls displayed sepia photographs of sailors and dockworkers. Tomás moved through the crowd of drinkers, olive skin gleaming under the dim lights, shoulders cutting a path. Quinn kept five paces behind, her hand resting on the butt of her service weapon. Military precision governed her breathing. Two counts in. Four counts out. She didn't draw. Not yet. The watch on her left wrist—worn leather, military issue—ticked against the noise. He reached the back wall where a bookshelf stood loaded with maritime journals and water-damaged ledgers. Tomás pushed against the wood. The shelf swung inward with a whisper of rusted hinges, revealing darkness beyond. He slipped through without a glance backward, the medallion catching the light one last time. Quinn reached the bookshelf. Her fingers found the seam. She pushed. The hidden room opened onto a narrow staircase descending into brick-lined blackness. Cold air rose from below, carrying the scent of earth and something else—copper and ozone. She followed him down. The stairs spiraled into the earth. Water dripped from the ceiling, each drop echoing in the silence. Quinn counted forty-seven steps before her boots touched concrete. Her flashlight beam cut through the dark, illuminating a corridor that stretched ahead, lit by gas lamps burning with blue flames that cast no heat. Tomás waited at the far end, rainwater pooling around his shoes like dark mirrors. "Impressive. The Met doesn't usually dig this deep." His voice bounced off the tiles, rough as gravel shifting down a slope. "Your license revoked three years ago. Unauthorized treatments. Supernatural patients. You left the NHS to heal things that shouldn't exist." Quinn stepped closer. The leather strap of her watch dug into her wrist. "He was my partner." Her jaw tightened. She thought of the morgue, the cold metal table, her partner's warm brown eyes open and staring at nothing. "He was a thief. He stole the bone token. He tried to sell it at the Veil Market. The big score. Now you want it back. That's why you're here. Not for me. For the token." Tomás turned and walked down the corridor, his boots clicking against the wet stone. Quinn followed. The corridor opened into a cavernous space. The abandoned Tube station yawned before her, platforms empty, tracks rusted and twisted, darkness swallowing the far tunnel. But here, beneath Camden, the station lived. Stalls lined the walls like teeth in a mouth. Merchants displayed their wares under lanterns that burned green and violet. The air thrummed with bartering voices speaking languages that predated Latin, the clink of crystal, the whisper of deals sealed in blood and bone. Creatures that might have been human once moved between the stalls, their eyes reflecting the lantern light with too many pupils. This was the Veil Market. It moved every full moon, shifting locations like a living thing that fed on the city's forgotten spaces. Tonight it squatted here, an infection beneath Camden. Tomás walked onto the platform, toward a stall selling vials of liquid starlight and jars of preserved organs. He looked back, rain dripping from his curly dark hair onto his olive skin, warm brown eyes meeting hers across the distance. "You need a token to enter. Proper entry. But you can follow me in without one. The back way. Through the service tunnels where the rats nest. Dangerous. Dark. Things move in those pipes that the city forgot, things that hunger for police blood." Quinn stood at the top of the platform steps. Rain from the street above dripped down the stairwell, each drop a countdown. She looked at the market. At the stalls selling enchanted goods and banned alchemical substances. At the crowd of buyers and sellers, human and otherwise, moving between the shadows with predatory grace. She looked at the rusted tracks leading into blackness. She could stop here. Radio for backup. Wait for morning. Let Tomás disappear into the clique's underworld and lose the thread of the investigation. Let Morris remain another unsolved case, another statistic in the Metropolitan Police files. Or she could follow. Her fingers found the bone token in her coat pocket. She'd taken it from the evidence locker three hours ago, breaking protocol, breaking rules, driven by the need to understand. The token Morris had clutched in his hand when they found him, cold and dead and preserved against natural decay by forces she didn't understand. A femur bone, carved with symbols that ached to look at, that seemed to shift when viewed from the corner of her eye. "You brought it. Smart. Morris trained you." Tomás raised an eyebrow. The medallion swung against his chest. Quinn descended the stairs. Her boots struck the concrete, the sound carrying through the cavern, bouncing off the tiled walls. The leather watch ticked against her wrist, loud in the sudden silence. Tick. Tick. Tick. At the bottom, she reached the first stall. A woman with eyes like cracked amber looked up from her display of preserved hearts and bottled whispers. The woman's hands trembled. Young hands. Too young for the lines that mapped her face like cracks in porcelain. "Token." The word scraped from her throat. Quinn placed the bone on the velvet cloth. The symbols on its surface glowed, dim and shifting, responding to the market's magic. The woman's eyes widened to the size of saucers. Around her, the market crowd parted, creating a path through the stalls toward the depths where Tomás waited, his silhouette vanishing into the violet lantern light. Quinn walked forward, past the stalls, past the merchants and their impossible wares, into the heart of the Veil Market.
created_at"2026-10-07T09:02:59.763Z" 10/7/2026, 9:02:59 AM
model"mistralai/mistral-large-4-0-20261006"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1555
moderation_latency(null)
generation_time201965
tokens_prompt1104
tokens_completion13997
native_tokens_prompt1015
native_tokens_completion12979
native_tokens_completion_images(null)
native_tokens_reasoning12278
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier"default"
usage0.02781631
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791363779-jICvsd5e6M5ETOm7D8h2"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791363779-egG3Z1pHjqlrRG3yP3fu"
upstream_id"f47b729ac12f4eb69f1666e67c6886a0"
provider_responses
0
endpoint_id"19b3b5d7-23f6-4b63-8109-64a6cc37d996"
id"f47b729ac12f4eb69f1666e67c6886a0"
is_byokfalse
latency1555
model_permaslug"mistralai/mistral-large-4-0-20261006"
provider_name"Mistral"
status200
total_cost0.02781631
cache_discount(null)
upstream_inference_cost0
provider_name"Mistral"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1114
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)
32.68% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1114
totalAiIsms15
found
0
word"fractured"
count1
1
word"clenching"
count1
2
word"flickered"
count1
3
word"gleaming"
count1
4
word"whisper"
count2
5
word"echoing"
count1
6
word"silence"
count2
7
word"crystal"
count1
8
word"eyebrow"
count1
9
word"trembled"
count1
10
word"porcelain"
count1
11
word"velvet"
count1
12
word"depths"
count1
highlights
0"fractured"
1"clenching"
2"flickered"
3"gleaming"
4"whisper"
5"echoing"
6"silence"
7"crystal"
8"eyebrow"
9"trembled"
10"porcelain"
11"velvet"
12"depths"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences92
matches(empty)
96.27% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences92
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)
analyzedSentences99
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen44
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1110
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
89.39% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions45
wordCount990
uniqueNames20
maxNameDensity1.21
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn12
Frith1
Street1
Raven1
Nest1
Tomás9
Herrera1
Saint1
Christopher1
Tube1
Camden2
Latin1
Veil2
Market2
Morris2
Metropolitan1
Police1
Tick3
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Nest"
4"Tomás"
5"Herrera"
6"Saint"
7"Christopher"
8"Morris"
places
0"Soho"
1"Frith"
2"Street"
3"Market"
globalScore0.894
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences62
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1110
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences99
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs32
mean34.69
std28.12
cv0.811
sampleLengths
089
175
22
381
449
538
64
765
88
913
1020
1113
124
1322
1436
1514
1699
1731
1840
1944
2063
2137
224
2378
247
2510
2635
2745
281
296
3057
3120
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences92
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs172
matches(empty)
56.28% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences3
totalSentences99
ratio0.03
matches
0"She recognized the scar running along his left forearm from the surveillance photos—Tomás Herrera, former paramedic, current ghost in the system."
1"The watch on her left wrist—worn leather, military issue—ticked against the noise."
2"Cold air rose from below, carrying the scent of earth and something else—copper and ozone."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1001
adjectiveStacks1
stackExamples
0"former paramedic, current ghost"
adverbCount8
adverbRatio0.007992007992007992
lyAdverbCount1
lyAdverbRatio0.000999000999000999
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences99
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences99
mean11.21
std8.04
cv0.717
sampleLengths
08
115
216
332
413
55
612
717
84
95
1021
1116
122
1311
149
1518
1615
175
183
193
203
212
2212
2316
245
2513
2615
274
285
292
3012
3115
324
336
3411
359
3625
3714
388
3913
4020
413
4210
434
443
4519
4636
4714
482
497
58.59% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.3939393939393939
totalSentences99
uniqueOpeners39
39.68% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences84
matches
0"Too young for the lines"
ratio0.012
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences84
matches
0"She kept her eyes locked"
1"Her jaw ached from clenching."
2"She recognized the scar running"
3"She didn't draw."
4"He reached the back wall"
5"He slipped through without a"
6"Her fingers found the seam."
7"She followed him down."
8"Her flashlight beam cut through"
9"His voice bounced off the"
10"Her jaw tightened."
11"She thought of the morgue,"
12"It moved every full moon,"
13"He looked back, rain dripping"
14"She looked at the market."
15"She looked at the rusted"
16"She could stop here."
17"Her fingers found the bone"
18"She'd taken it from the"
19"Her boots struck the concrete,"
ratio0.238
67.14% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount66
totalSentences84
matches
0"Detective Harlow Quinn's boots splashed"
1"She kept her eyes locked"
2"The salt-and-pepper hair cropped close"
3"Her jaw ached from clenching."
4"The green neon of The"
5"Quinn didn't break stride."
6"The man didn't look back."
7"She recognized the scar running"
8"The Saint Christopher medallion swung"
9"The walls displayed sepia photographs"
10"Tomás moved through the crowd"
11"Quinn kept five paces behind,"
12"Military precision governed her breathing."
13"She didn't draw."
14"The watch on her left"
15"He reached the back wall"
16"Tomás pushed against the wood."
17"The shelf swung inward with"
18"He slipped through without a"
19"Quinn reached the bookshelf."
ratio0.786
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences84
matches(empty)
ratio0
68.45% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences48
technicalSentenceCount5
matches
0"Detective Harlow Quinn's boots splashed through puddles that mirrored neon fractured across the wet asphalt."
1"Eighteen years of decorated service had taught her to read the rhythm of a city at night, but this suspect moved with the fluid certainty of someone who belonge…"
2"Her flashlight beam cut through the dark, illuminating a corridor that stretched ahead, lit by gas lamps burning with blue flames that cast no heat."
3"Creatures that might have been human once moved between the stalls, their eyes reflecting the lantern light with too many pupils."
4"Around her, the market crowd parted, creating a path through the stalls toward the depths where Tomás waited, his silhouette vanishing into the violet lantern l…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
86.7494%