Run: 2026-10-06-01M48VW7B4T5S0N85VMC92A9AF

Run Details

Duration:
42.7s
Cost:
$0.004362
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 fell in sheets that turned the streetlights into smeared halos. Detective Harlow Quinn pulled her collar up and kept her eyes on the figure ahead, three blocks down and gaining distance. Tomás Herrera moved with the easy stride of a man who'd spent years running from things, his dark coat absorbing the darkness, the Saint Christopher medallion catching light only when he turned his head to check behind him. She'd been tracking him for six hours. The tip came from a CI in Camden, someone who'd seen Herrera stitching a vampire's throat closed in an alley off Brewer Street. Off-the-books medical work. That was the phrase. Quinn didn't care about the supernatural half of it. She cared that Herrera had been near three crime scenes in eighteen months, that his name surfaced in connection with a missing persons case she'd worked last spring, that he'd vanished from NHS records two years ago with no forwarding address. The traffic light changed. Herrera crossed against it, not bothering to look for cars. Quinn followed, her shoes slapping through puddles that swallowed the sound of her footsteps. He led her through Soho, past the theatres dark for the night, down streets that narrowed until the buildings pressed close enough to touch. She kept her distance, using doorways and the occasional parked van for cover. Her phone buzzed in her pocket. She ignored it. Rules of pursuit: eyes on target, nothing else. Herrera ducked into an alley between a shuttered kebab shop and a betting office. Quinn reached the entrance, slowed, listened. Nothing. She stepped inside. The alley opened into a courtyard, and there, glowing green against the brick, hung the sign for the Raven's Nest. Quinn had passed this bar a dozen times. Never noticed the alley. Never noticed the green neon, which seemed to pulse with its own heartbeat. She checked her service weapon, made sure the safety was off, and walked through the door. The bar smelled of stale beer and something else, something metallic underneath. Old maps covered the walls, their edges curling with damp. Black-and-white photographs showed faces Quinn didn't recognise, people in clothing from decades past, all of them staring out with expressions she couldn't read. A woman behind the bar looked up, her eyes pale as milk, and went back to polishing a glass without a word. Herrera sat at a corner table, a pint of dark ale untouched before him. He didn't look up when she entered. He didn't need to. She'd heard his footsteps on the stairs, felt the shift in the room's pressure when she crossed the threshold. "You're persistent, Detective." His voice carried the soft lilt of Seville, the clipped consonants of someone who'd learned English as a second language and never quite lost the accent. "I wondered how long it would take you to find me." Quinn slid into the chair across from him. The wood groaned. "Sit down, Tomás. We need to talk." "I don't think we do." He finally met her eyes, and she saw the exhaustion there, the lines around his mouth that didn't match his twenty-nine years. "You've been following me since the Henderson case. I know. I've known for weeks." "Then why didn't you run?" "Because I'm tired of running." He laughed, a short, broken sound. "And because I wanted to see your face when you finally caught up. You have your partner's eyes, you know. Morris. I saw the photographs." Quinn's hand tightened on her glass. She hadn't touched it. "You knew him?" "I knew of him. Everyone in our world knew of him." Herrera leaned forward, and she caught the scent of antiseptic on his skin, the particular sharpness of someone who worked with wounds. "Three years ago, he came looking for answers. Same answers I'm looking for now. Same answers you're looking for, I think, though you don't know it yet." "What answers?" Herrera shook his head. "Not here. Not with her listening." He nodded toward the pale-eyed bartender, who still hadn't looked up from her glass. "She reports to someone. I don't know who. I don't care. But I won't speak of it in her presence." Quinn glanced at the bar, then back at Herrera. The back room. The bookshelf. She'd read the file on this place, years ago, when she'd first started hearing whispers about the supernatural underbelly of the city. The Raven's Nest was a known quantity, a neutral ground where certain transactions happened. She'd never had cause to use it. Never imagined she'd be sitting in it, across from a man she was supposed to be arresting. "There's a back room," she said. "Bookshelf door. I know about it." Herrera's eyebrows rose. "You've done your research." "I do that." She stood, and he rose with her, smooth and unhurried, the scar on his forearm visible where his sleeve had pushed up. "Lead the way." He moved toward the back of the bar, and the pale-eyed woman finally spoke. "No one goes back there without Silas's permission." Her voice was wrong, layered, as if two people spoke through one throat. "I have permission." Herrera didn't stop walking. "I've always had permission. You just never asked." The woman's hand froze on her glass. For a moment, Quinn thought she might see something in those milky eyes, some flicker of recognition or fear. Then the moment passed, and the bartender turned away, and Herrera pushed through a door that Quinn hadn't seen, hidden behind a stack of empty kegs. The back room was small, windowless, lit by a single bulb that swung slightly in a draft Quinn couldn't feel. A table, four chairs, walls lined with shelves that held jars of things she didn't want to identify. A locked cabinet in the corner. And on the far wall, a door that hadn't been there when she'd studied the floor plans, a door of dark wood with iron hinges that gleamed like fresh blood. "Stairs," Herrera said. "Down. The Veil Market moves tonight, full moon. If you want to follow me, you need to go now. The entrance closes in ten minutes, and it won't open again until the moon wanes." Quinn looked at the door. She thought of her phone, buzzing still in her pocket, probably the precinct wondering where she was. She thought of the Henderson case, the vampire in the alley, the missing persons reports that clustered around Herrera's known associates. She thought of Morris, dead three years, his death ruled a heart attack though his heart had been healthy, though Quinn had seen the photographs of his body and known, in the hollow place where she kept her doubts, that something else had stopped his heart. "I need a bone token," she said. Herrera reached into his pocket and withdrew something that caught the light. A finger bone, yellowed with age, threaded on a leather cord. He held it out to her. "Take it. But know this, Detective. Once you go down, you can't come back up the same way. The Market doesn't work like the world above. Time moves differently. Dangers move differently." He paused, and for the first time, she saw uncertainty in his warm brown eyes. "I'm not trying to scare you. I'm trying to make sure you understand what you're choosing." Quinn took the token. It was cold, colder than it should have been, and it left a faint grey mark on her palm that faded as she watched. "I've been chasing ghosts for three years, Herrera. Literally. I don't scare easy." "Then you're already dead, and you don't know it." He turned toward the door, his hand on the iron handle. "Come. The stairs are steep, and the dark down there has teeth." She followed him through. The door closed behind her with a sound like a held breath being released, and the darkness took them both.
created_at"2026-10-06T15:03:54.485Z" 10/6/2026, 3:03:54 PM
model"mistralai/mistral-large-4-0-20261006"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency588
moderation_latency(null)
generation_time42675
tokens_prompt1104
tokens_completion1918
native_tokens_prompt1027
native_tokens_completion1753
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)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier"default"
usage0.00436213
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791299034-SGP4OC0a3SyA6iafOCDi"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791299034-uV0zqL6d6cJngCi6192w"
upstream_id"19489551195b4b8abfc438408b2d0ff7"
provider_responses
0
endpoint_id"19b3b5d7-23f6-4b63-8109-64a6cc37d996"
id"19489551195b4b8abfc438408b2d0ff7"
is_byokfalse
latency586
model_permaslug"mistralai/mistral-large-4-0-20261006"
provider_name"Mistral"
status200
total_cost0.00436213
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
totalTags13
adverbTagCount0
adverbTags(empty)
dialogueSentences30
tagDensity0.433
leniency0.867
rawRatio0
effectiveRatio0
96.19% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1314
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"slightly"
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Henderson"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
80.97% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1314
totalAiIsms5
found
0
word"footsteps"
count2
1
word"pulse"
count1
2
word"lilt"
count1
3
word"flicker"
count1
highlights
0"footsteps"
1"pulse"
2"lilt"
3"flicker"
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
narrationSentences79
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences79
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences96
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen47
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1314
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
75.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions45
wordCount1009
uniqueNames15
maxNameDensity1.49
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn15
Herrera15
Saint1
Christopher1
Camden1
Brewer1
Street1
Soho1
Raven2
Nest2
Seville1
English1
Henderson1
Morris1
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Saint"
4"Christopher"
5"Raven"
6"Henderson"
7"Morris"
places
0"Camden"
1"Brewer"
2"Street"
3"Soho"
4"Seville"
globalScore0.757
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences58
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1314
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences96
matches
0"cared that Herrera"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs34
mean38.65
std23.61
cv0.611
sampleLengths
071
187
228
354
424
545
616
767
844
940
1018
1141
125
1336
1413
1560
162
1744
1874
1912
207
2128
2235
2315
2452
2574
2637
2789
287
2929
3063
3141
3232
3324
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences79
matches
0"was supposed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs179
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences96
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1016
adjectiveStacks0
stackExamples(empty)
adverbCount15
adverbRatio0.014763779527559055
lyAdverbCount6
lyAdverbRatio0.005905511811023622
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences96
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences96
mean13.69
std10.2
cv0.745
sampleLengths
012
121
238
37
423
53
64
79
841
94
1010
1114
1224
1313
146
153
168
1714
186
191
203
2120
228
234
2413
2516
2612
2710
2823
2922
3014
317
324
3319
3429
3511
368
373
387
3927
4014
415
4211
4325
446
454
463
4733
4827
492
53.47% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.3645833333333333
totalSentences96
uniqueOpeners35
45.05% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences74
matches
0"Then the moment passed, and"
ratio0.014
63.24% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences74
matches
0"She'd been tracking him for"
1"She cared that Herrera had"
2"He led her through Soho,"
3"She kept her distance, using"
4"Her phone buzzed in her"
5"She ignored it."
6"She stepped inside."
7"She checked her service weapon,"
8"He didn't look up when"
9"He didn't need to."
10"She'd heard his footsteps on"
11"His voice carried the soft"
12"He finally met her eyes,"
13"He laughed, a short, broken"
14"She hadn't touched it."
15"He nodded toward the pale-eyed"
16"She'd read the file on"
17"She'd never had cause to"
18"She stood, and he rose"
19"He moved toward the back"
ratio0.392
20.81% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount65
totalSentences74
matches
0"The rain fell in sheets"
1"Detective Harlow Quinn pulled her"
2"Tomás Herrera moved with the"
3"She'd been tracking him for"
4"The tip came from a"
5"That was the phrase."
6"Quinn didn't care about the"
7"She cared that Herrera had"
8"The traffic light changed."
9"Herrera crossed against it, not"
10"Quinn followed, her shoes slapping"
11"He led her through Soho,"
12"She kept her distance, using"
13"Her phone buzzed in her"
14"She ignored it."
15"Rules of pursuit: eyes on"
16"Herrera ducked into an alley"
17"Quinn reached the entrance, slowed,"
18"She stepped inside."
19"The alley opened into a"
ratio0.878
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences74
matches(empty)
ratio0
61.22% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences35
technicalSentenceCount4
matches
0"Tomás Herrera moved with the easy stride of a man who'd spent years running from things, his dark coat absorbing the darkness, the Saint Christopher medallion c…"
1"Quinn followed, her shoes slapping through puddles that swallowed the sound of her footsteps."
2"The back room was small, windowless, lit by a single bulb that swung slightly in a draft Quinn couldn't feel."
3"It was cold, colder than it should have been, and it left a faint grey mark on her palm that faded as she watched."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount0
matches(empty)
83.33% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount2
fancyTags
0"He laughed (laugh)"
1"people spoke (speak)"
dialogueSentences30
tagDensity0.167
leniency0.333
rawRatio0.4
effectiveRatio0.133
85.3322%