Run: 2026-02-20-01KHY8YREM489SF1HZ8C0VM4KM

Run Details

Duration:
4.7s
Cost:
$0.000292
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 rain drummed against the corrugated metal roof of the abandoned Tube station like a slow, relentless drumbeat. Detective Harlow Quinn crouched in the shadows, her breath steady despite the cold seeping through her boots. The air smelled of damp concrete and something sharper—ozone, maybe, or the faint metallic tang of blood. "Christ," muttered DS Carter beside her, his flashlight beam cutting through the gloom. "This place is a fucking death trap." Harlow didn’t answer. She was already moving, her boots silent on the slick stone. The crime scene tape fluttered in the draft, though no one had bothered to secure it properly. The station’s name—*Camden Road*—was peeling off the walls, the letters like a warning half-erased by time. Then she saw it. A body. Not just any body. This one was draped over a rusted metal bench, arms splayed as if frozen mid-fall. The victim wore a long coat, the collar turned up against the cold, but the fabric was dark, almost black, like it had been soaked in something. Harlow’s stomach twisted. The coat smelled of burnt sugar and something older—something *wrong*. Carter crouched beside her, his voice tight. "Looks like a suicide. Or maybe a mugging gone bad." Harlow didn’t look at him. She knelt, her gloved fingers brushing the victim’s wrist. No pulse. No breath. Just the faintest chill radiating off the skin, like the corpse had been dead for hours. Then she saw the wound. A neat, precise slash across the throat, but not like any knife work she’d seen before. The edges were too clean, too *surgical*. And the blood—if it was blood—hadn’t pooled. It had *dried* in strange, uneven patches, as if something had drained it away. Carter exhaled sharply. "You think it’s supernatural?" Harlow didn’t answer. She was already reaching into her coat, pulling out her notebook. The first thing she did was sketch the wound. Then she noted the victim’s pockets—empty except for a single bone token, its surface smooth and unmarked. A ticket to the Veil Market. Her fingers tightened around the notebook. She hadn’t expected this. Carter shifted beside her, his voice dropping. "You ever hear of that place?" Harlow didn’t look up. "The Veil Market? Yeah. Underground. Illegal shit. Enchanted goods, black-market spells." "Then this isn’t just some random killing," Carter said, his voice low. "This is *them*." Harlow finally met his eyes. "Who?" "Them." Carter gestured vaguely at the station. "The ones who run the Veil. They don’t like loose ends." Harlow stood, brushing dirt from her knees. "Then we need to find out who this was before they find out we’re asking questions." Carter followed her as she moved to the far end of the platform, where the tracks curved into darkness. The air here was thicker, the shadows deeper. Harlow’s flashlight caught something glinting on the ground—a brass compass, its casing etched with strange sigils. The needle spun wildly before settling, pointing not at the exit, but deeper into the station. Harlow picked it up. The moment her fingers closed around it, a cold prickle ran up her arm. Carter watched her, his expression unreadable. "You feeling that?" She didn’t answer. She was already walking, the compass tucked into her pocket. The tracks stretched ahead, the darkness swallowing the light behind them. Carter fell into step beside her. "You think this is connected to Morris?" Harlow didn’t slow down. "I think we’re standing in the middle of something bigger than either of us." The tracks ended in a dead end, the walls closing in around them. The air grew colder. The compass in her pocket hummed, a low, steady vibration. Then she heard it. A whisper. Not from the wind. Not from the station. From *inside* the walls. And it was calling her name.
created_at"2026-02-20T19:38:17.445Z" 2/20/2026, 7:38:17 PM
model"mistralai/ministral-8b-2512"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency225
moderation_latency(null)
generation_time4231
tokens_prompt1149
tokens_completion1012
native_tokens_prompt1062
native_tokens_completion886
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached448
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"
usage0.0002922
router(null)
provider_responses
0
endpoint_id"c85d26e1-1e0c-449b-9775-2afce7ae510b"
id"a1aa4f33eb06445ea0c22394ecf91212"
is_byokfalse
latency223
model_permaslug"mistralai/ministral-8b-2512"
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771616297-0suO98eaoMMhF2KJxGkg"
upstream_id"a1aa4f33eb06445ea0c22394ecf91212"
total_cost0.0002922
cache_discount(null)
upstream_inference_cost0
provider_name"Mistral"

Evaluation details

Result Evaluator Details Meta Data
66.67% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount1
adverbTags
0"Carter gestured vaguely [vaguely]"
dialogueSentences15
tagDensity0.2
leniency0.4
rawRatio0.333
effectiveRatio0.133
92.16% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount638
totalAiIsmAdverbs1
found
0
adverb"sharply"
count1
highlights
0"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)
29.47% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount638
totalAiIsms9
found
0
word"gloom"
count1
1
word"fluttered"
count1
2
word"stomach"
count1
3
word"pulse"
count1
4
word"chill"
count1
5
word"glinting"
count1
6
word"etched"
count1
7
word"unreadable"
count1
8
word"whisper"
count1
highlights
0"gloom"
1"fluttered"
2"stomach"
3"pulse"
4"chill"
5"glinting"
6"etched"
7"unreadable"
8"whisper"
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
narrationSentences61
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences61
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences73
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen27
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans6
markdownWords7
totalWords629
ratio0.011
matches
0"Camden Road"
1"wrong"
2"surgical"
3"dried"
4"them"
5"inside"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
45.64% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions24
wordCount527
uniqueNames6
maxNameDensity2.09
worstName"Harlow"
maxWindowNameDensity3
worstWindowName"Harlow"
discoveredNames
Tube1
Harlow11
Quinn1
Carter9
Veil1
Market1
persons
0"Harlow"
1"Quinn"
2"Carter"
places
0"Veil"
globalScore0.456
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences37
glossingSentenceCount0
matches(empty)
41.02% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.59
wordCount629
matches
0"not at the exit, but deeper into the station"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences73
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs31
mean20.29
std16.69
cv0.823
sampleLengths
052
120
247
34
42
559
617
734
85
944
107
1140
126
1310
1413
1515
1615
176
1818
1923
2059
2118
229
2324
2413
2518
2627
274
282
2912
306
93.76% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences61
matches
0"was draped"
1"been soaked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs86
matches
0"was calling"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences6
totalSentences73
ratio0.082
matches
0"The air smelled of damp concrete and something sharper—ozone, maybe, or the faint metallic tang of blood."
1"The station’s name—*Camden Road*—was peeling off the walls, the letters like a warning half-erased by time."
2"The coat smelled of burnt sugar and something older—something *wrong*."
3"And the blood—if it was blood—hadn’t pooled."
4"Then she noted the victim’s pockets—empty except for a single bone token, its surface smooth and unmarked."
5"Harlow’s flashlight caught something glinting on the ground—a brass compass, its casing etched with strange sigils."
97.38% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount535
adjectiveStacks0
stackExamples(empty)
adverbCount23
adverbRatio0.04299065420560748
lyAdverbCount5
lyAdverbRatio0.009345794392523364
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences73
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences73
mean8.62
std5.45
cv0.632
sampleLengths
018
117
217
313
47
53
611
717
816
94
102
114
1215
1327
143
1510
167
1710
185
199
202
212
2216
235
2416
257
267
2714
283
294
303
3111
329
3317
346
356
364
377
386
394
4011
4112
423
435
441
457
4611
477
4816
4919
41.78% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.2876712328767123
totalSentences73
uniqueOpeners21
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences57
matches
0"Then she saw it."
1"Just the faintest chill radiating"
2"Then she saw the wound."
3"Then she noted the victim’s"
4"Then she heard it."
ratio0.088
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount8
totalSentences57
matches
0"She was already moving, her"
1"She knelt, her gloved fingers"
2"It had *dried* in strange,"
3"She was already reaching into"
4"Her fingers tightened around the"
5"She hadn’t expected this."
6"She didn’t answer."
7"She was already walking, the"
ratio0.14
65.26% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount45
totalSentences57
matches
0"The rain drummed against the"
1"Detective Harlow Quinn crouched in"
2"The air smelled of damp"
3"Harlow didn’t answer."
4"She was already moving, her"
5"The crime scene tape fluttered"
6"The station’s name—*Camden Road*—was peeling"
7"This one was draped over"
8"The victim wore a long"
9"Harlow’s stomach twisted."
10"The coat smelled of burnt"
11"Carter crouched beside her, his"
12"Harlow didn’t look at him."
13"She knelt, her gloved fingers"
14"A neat, precise slash across"
15"The edges were too clean,"
16"It had *dried* in strange,"
17"Carter exhaled sharply."
18"Harlow didn’t answer."
19"She was already reaching into"
ratio0.789
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences57
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount1
matches
0"She was already reaching into her coat, pulling out her notebook."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount2
matches
0"muttered DS Carter beside her, his flashlight beam cutting through the gloom"
1"Carter said, his voice low"
83.33% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"muttered DS Carter beside her (mutter)"
dialogueSentences15
tagDensity0.133
leniency0.267
rawRatio0.5
effectiveRatio0.133
78.5490%