Run: 2026-02-20-01KHXQFVMPX8PZ0FNXNGTPBTJY

Run Details

Duration:
26.3s
Cost:
$0.002472
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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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 abandoned Tube station smelled of damp concrete and rust. Quinn stepped over the police tape, her boots clicking against the cracked tiles. The air hummed with the kind of quiet that only existed in places people had forgotten. She adjusted the worn leather watch on her wrist, its strap loose from years of use. "Quinn." Detective Sergeant Cole stood near the far wall, his hands shoved deep in his pockets. His breath fogged in the cold. "Took you long enough." She ignored the jab. "What’ve we got?" "Body’s over here." He jerked his chin toward a crumpled shape beneath a flickering fluorescent light. "Male, mid-thirties. No ID. No wallet. No phone." Quinn crouched beside the corpse. The man’s face was frozen in a rictus of surprise, his mouth stretched too wide, eyes bulging. His fingers were curled into claws, nails blackened at the tips. She touched the back of his hand—still warm. "Time of death?" "Less than an hour," Cole said. "Uniforms got the call from a homeless guy who swears he heard screaming down here. By the time they arrived, this was it." Quinn stood, scanning the platform. The walls were covered in graffiti, but one symbol stood out—a jagged sigil, fresh, the paint still glistening. It looked like something clawed its way out of the brick. "Notice anything odd?" she asked. Cole shrugged. "Besides the fact we’re standing in a ghost station? Nope." She pointed at the sigil. "That’s new." "Kids. Probably some goths playing around." Quinn pulled a pair of latex gloves from her pocket and snapped them on. She traced the edges of the symbol with her fingers. The paint was thick, almost sticky. "This isn’t spray paint. It’s too precise. And it’s not just on the wall." She knelt again, brushing her fingers over the dead man’s collar. A faint residue clung to the fabric—same texture, same sheen. Cole exhaled through his nose. "You’re reaching." "Am I?" She stood, wiping her gloves on her trousers. "No defensive wounds. No signs of struggle. But look at his face. That’s not fear. That’s *pain*." "Heart attack?" "At thirty-five? With no history?" She shook her head. "And what’s he doing down here in the first place? This station’s been sealed for decades." Cole crossed his arms. "Maybe he was meeting someone. Drug deal gone wrong. Or he got lost." Quinn walked the length of the platform, her gaze sweeping over the tracks. The rails were rusted, the third rail dead. But something glinted near the edge—a small brass object half-buried in the gravel. She picked it up, turning it over in her palm. A compass. The needle spun wildly, then settled, pointing toward the far wall. Cole frowned. "What’s that?" "Nothing." She pocketed it. "Just trash." But the needle twitched again, as if alive. She turned back to the body. The man’s shoes were scuffed, the soles worn thin. No mud, no dirt—just dust. Like he hadn’t walked anywhere but here. And his clothes—cheap, but new. No wallet, no phone, but his pockets weren’t empty. She reached in and pulled out a small bone token, carved with the same sigil from the wall. Cole’s eyebrows shot up. "What the hell is that?" Quinn turned it over. The bone was smooth, polished. Not human. "I don’t know." "Looks like some kind of occult crap." "Yeah." She slipped it into an evidence bag. "It does." Cole rubbed his temples. "You’re not seriously suggesting this is supernatural, are you? Because last I checked, we don’t investigate ghosts." Quinn ignored him. She walked to the edge of the platform, staring down at the tracks. The darkness beyond the reach of the flickering lights seemed thicker, like the shadows were breathing. She pulled out her phone and snapped a few photos of the sigil, the body, the compass in her pocket. Cole sighed. "You’re wasting time. This is a dead junkie who OD’d in a creepy place. Case closed." Quinn turned back to him. "Then why is there no vomit? No foam at the mouth? No track marks?" "Maybe he smoked it. Snorted it." "Maybe." She stepped closer to the wall, running her fingers over the brick. The sigil pulsed faintly under her touch, like a heartbeat. "Or maybe he didn’t take anything at all." Cole threw his hands up. "You’re impossible." Quinn pulled out the compass again. The needle was still now, pointing directly at the sigil. She pressed her palm against the wall. The brick was cold, but beneath her fingers, something thrummed. Cole’s radio crackled. "DS Cole, we’ve got another call. Possible 10-54 near the canal." He hesitated, then shook his head. "I’m out. You coming?" Quinn didn’t answer. She was staring at the compass, at the way the needle trembled. Cole sighed. "Fine. Stay here and chase shadows. But don’t come crying to me when the brass asks why we’re not closing cases." He walked away, his footsteps echoing down the tunnel. Quinn waited until the sound faded, then pulled out the bone token again. It was warm now, almost hot. She turned it over in her fingers. The sigil matched the one on the wall. The one the compass pointed to. She pocketed the token and the compass, then pulled out her phone. The screen lit up with a single name—Eva Kowalski. The call connected after two rings. "Quinn?" Eva’s voice was sharp, wary. "What’s wrong?" Quinn looked at the body, at the sigil, at the darkness beyond the platform. "I need to ask you about the Veil Market."
created_at"2026-02-20T14:33:03.397Z" 2/20/2026, 2:33:03 PM
model"mistralai/mistral-large-2512" 1/1/2512, 12:00:00 AM
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency487
moderation_latency(null)
generation_time26216
tokens_prompt1149
tokens_completion1439
native_tokens_prompt1062
native_tokens_completion1294
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"
usage0.002472
router(null)
provider_responses
0
endpoint_id"fa718841-07ea-4b7e-b8a3-6069545c7e6a"
id"f394e4d27699417a8d56200e6fdc0125"
is_byokfalse
latency487
model_permaslug"mistralai/mistral-large-2512" 1/1/2512, 12:00:00 AM
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771597983-yEkS6IRKUa03cjBGY7j0"
upstream_id"f394e4d27699417a8d56200e6fdc0125"
total_cost0.002472
cache_discount(null)
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
totalTags10
adverbTagCount1
adverbTags
0"She knelt again [again]"
dialogueSentences41
tagDensity0.244
leniency0.488
rawRatio0.1
effectiveRatio0.049
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount931
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)
62.41% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount931
totalAiIsms7
found
0
word"scanning"
count1
1
word"glistening"
count1
2
word"traced"
count1
3
word"pulsed"
count1
4
word"trembled"
count1
5
word"footsteps"
count1
6
word"echoing"
count1
highlights
0"scanning"
1"glistening"
2"traced"
3"pulsed"
4"trembled"
5"footsteps"
6"echoing"
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
filterCount1
hedgeCount0
narrationSentences79
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences109
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen25
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords922
ratio0.001
matches
0"pain"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
57.12% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions29
wordCount646
uniqueNames6
maxNameDensity1.86
worstName"Cole"
maxWindowNameDensity3
worstWindowName"Cole"
discoveredNames
Tube1
Sergeant1
Cole12
Quinn12
Eva2
Kowalski1
persons
0"Sergeant"
1"Cole"
2"Quinn"
3"Eva"
4"Kowalski"
places(empty)
globalScore0.571
windowScore0.667
51.96% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences51
glossingSentenceCount2
matches
0"looked like something clawed its way out"
1"seemed thicker like the shadows were breathing"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount922
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences109
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs45
mean20.49
std16.25
cv0.793
sampleLengths
055
126
27
324
441
53
629
734
85
912
107
116
1265
137
1427
152
1625
1717
1857
194
206
218
2259
239
2414
257
2610
2721
2852
2918
3019
316
3231
337
3433
3514
3610
3715
3823
3928
4021
4121
426
438
4423
83.06% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences79
matches
0"was frozen"
1"were curled"
2"were covered"
3"were rusted"
4"were scuffed"
84.06% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs115
matches
0"were breathing"
1"was staring"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences7
totalSentences109
ratio0.064
matches
0"She touched the back of his hand—still warm."
1"The walls were covered in graffiti, but one symbol stood out—a jagged sigil, fresh, the paint still glistening."
2"A faint residue clung to the fabric—same texture, same sheen."
3"But something glinted near the edge—a small brass object half-buried in the gravel."
4"No mud, no dirt—just dust."
5"And his clothes—cheap, but new."
6"The screen lit up with a single name—Eva Kowalski."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount653
adjectiveStacks0
stackExamples(empty)
adverbCount23
adverbRatio0.03522205206738132
lyAdverbCount4
lyAdverbRatio0.006125574272588055
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences109
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences109
mean8.46
std5.26
cv0.622
sampleLengths
010
113
216
316
416
56
64
74
83
916
108
115
1217
1311
148
153
166
1723
185
1918
2011
215
222
2310
245
252
266
2714
2810
296
3025
3110
325
332
3410
3517
362
379
3816
394
4013
4113
428
4313
4410
452
4611
472
482
494
56.88% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.3577981651376147
totalSentences109
uniqueOpeners39
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences71
matches(empty)
ratio0
67.89% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount27
totalSentences71
matches
0"She adjusted the worn leather"
1"His breath fogged in the"
2"She ignored the jab."
3"He jerked his chin toward"
4"His fingers were curled into"
5"She touched the back of"
6"It looked like something clawed"
7"She pointed at the sigil."
8"She traced the edges of"
9"She knelt again, brushing her"
10"She stood, wiping her gloves"
11"She shook her head"
12"She picked it up, turning"
13"She pocketed it"
14"She turned back to the"
15"She reached in and pulled"
16"She slipped it into an"
17"She walked to the edge"
18"She pulled out her phone"
19"She stepped closer to the"
ratio0.38
2.25% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount65
totalSentences71
matches
0"The abandoned Tube station smelled"
1"Quinn stepped over the police"
2"The air hummed with the"
3"She adjusted the worn leather"
4"Detective Sergeant Cole stood near"
5"His breath fogged in the"
6"She ignored the jab."
7"He jerked his chin toward"
8"Quinn crouched beside the corpse."
9"The man’s face was frozen"
10"His fingers were curled into"
11"She touched the back of"
12"Quinn stood, scanning the platform."
13"The walls were covered in"
14"It looked like something clawed"
15"She pointed at the sigil."
16"Quinn pulled a pair of"
17"She traced the edges of"
18"The paint was thick, almost"
19"She knelt again, brushing her"
ratio0.915
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences71
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences27
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences41
tagDensity0.049
leniency0.098
rawRatio0
effectiveRatio0
78.8541%