Run: 2026-02-20-01KHY8W212ZXBA1KE3ZQVYNKR8

Run Details

Duration:
2.0s
Cost:
$0.000161
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 flickering neon of the abandoned Tube station pulsed like a dying heartbeat. Detective Harlow Quinn stepped through the rusted metal doors, her boots crunching on broken glass. The air smelled of damp earth and something older—something that clung to the walls like a second skin. “You’re late,” a voice cut through the silence. She turned, her sharp jaw tightening. Detective Quinn didn’t waste time on pleasantries. “Morris’s case isn’t just about timing anymore.” A shadow shifted behind her. “You’re not here for the usual. I know you’re not.” Eva Kowalski stood in the dim glow of a flickering bulb, her curly red hair catching the light like embers. She held up a worn leather satchel, the weight of it familiar. “I’ve been looking for you. The Veil Market moved again.” Quinn exhaled through her nose, her brown eyes scanning the crumbling platform. The body lay sprawled in the shadows, but the bloodstains didn’t match the wound. The knife—if it was a knife—had been twisted, as if something had dragged it from the victim’s hand. “You’re not from the force,” Quinn said, her voice low. Eva tucked a strand of hair behind her ear. “I’m not supposed to be here. But the token was found near the rift. Someone’s selling secrets.” Quinn knelt beside the body, her fingers brushing the damp fabric. The wound was too precise, too clean. No natural force could have done this. “You’re saying this wasn’t a murder?” Eva’s green eyes flickered with something sharp. “I’m saying it wasn’t just a murder.” A distant hum vibrated through the station, low and rhythmic. Quinn’s watch—its leather strap worn thin—ticked. The needle on the Veil Compass in her pocket pulsed faintly, its brass casing catching the light like a warning. “You’re not just here for the case,” Quinn said, her voice cutting through the tension. “You’re here because you know something.” Eva’s fingers tightened around her satchel. “I know where the next rift is. And I know who’s behind it.” Quinn stood, her boots scuffing against the broken tiles. “Then you’re either a fool or a traitor.” Eva’s breath hitched. “I’m not here to play games.” The station doors groaned open, the weight of the rift’s pull pressing against Quinn’s bones. She didn’t look back as she stepped into the dark, the Veil Compass humming in her palm like a second heartbeat.
created_at"2026-02-20T19:36:48.942Z" 2/20/2026, 7:36:48 PM
model"mistralai/ministral-3b-2512"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency205
moderation_latency(null)
generation_time1609
tokens_prompt1149
tokens_completion653
native_tokens_prompt1062
native_tokens_completion552
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"
usage0.0001614
router(null)
provider_responses
0
endpoint_id"b9f6828f-aef9-498a-91f5-6816fbf72420"
id"b23f5ec4995f4188af0e45b293f93ce4"
is_byokfalse
latency200
model_permaslug"mistralai/ministral-3b-2512"
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771616208-RwUCLJdhHUlZ5voVncW1"
upstream_id"b23f5ec4995f4188af0e45b293f93ce4"
total_cost0.0001614
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
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences13
tagDensity0.154
leniency0.308
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount399
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)
0.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount399
totalAiIsms11
found
0
word"pulsed"
count2
1
word"silence"
count1
2
word"weight"
count2
3
word"familiar"
count1
4
word"scanning"
count1
5
word"flickered"
count1
6
word"vibrated"
count1
7
word"rhythmic"
count1
8
word"tension"
count1
highlights
0"pulsed"
1"silence"
2"weight"
3"familiar"
4"scanning"
5"flickered"
6"vibrated"
7"rhythmic"
8"tension"
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
narrationSentences27
matches(empty)
89.95% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences27
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences37
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen21
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords394
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions21
wordCount290
uniqueNames7
maxNameDensity3.1
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Tube1
Harlow1
Quinn9
Kowalski1
Eva5
Veil2
Compass2
persons
0"Harlow"
1"Quinn"
2"Kowalski"
3"Eva"
4"Compass"
places(empty)
globalScore0
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences24
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount394
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences37
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs16
mean24.63
std12.5
cv0.508
sampleLengths
046
18
220
315
442
544
610
726
831
914
1036
1121
1219
1317
149
1536
92.27% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences27
matches
0"been twisted"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs44
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences3
totalSentences37
ratio0.081
matches
0"The air smelled of damp earth and something older—something that clung to the walls like a second skin."
1"The knife—if it was a knife—had been twisted, as if something had dragged it from the victim’s hand."
2"Quinn’s watch—its leather strap worn thin—ticked."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount295
adjectiveStacks0
stackExamples(empty)
adverbCount4
adverbRatio0.013559322033898305
lyAdverbCount2
lyAdverbRatio0.006779661016949152
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences37
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences37
mean10.65
std4.75
cv0.446
sampleLengths
013
115
218
38
46
57
67
75
810
920
1012
1110
1212
1314
1418
1510
169
1717
1811
197
207
216
227
237
2410
256
2620
2715
286
296
3013
319
328
333
346
3515
3621
44.59% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.2972972972972973
totalSentences37
uniqueOpeners11
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences27
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount3
totalSentences27
matches
0"She turned, her sharp jaw"
1"She held up a worn"
2"She didn’t look back as"
ratio0.111
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount26
totalSentences27
matches
0"The flickering neon of the"
1"Detective Harlow Quinn stepped through"
2"The air smelled of damp"
3"a voice cut through the"
4"She turned, her sharp jaw"
5"Detective Quinn didn’t waste time"
6"A shadow shifted behind her."
7"Eva Kowalski stood in the"
8"She held up a worn"
9"Quinn exhaled through her nose,"
10"The body lay sprawled in"
11"The knife—if it was a"
12"Quinn said, her voice low"
13"Eva tucked a strand of"
14"Quinn knelt beside the body,"
15"The wound was too precise,"
16"Eva’s green eyes flickered with"
17"A distant hum vibrated through"
18"Quinn’s watch—its leather strap worn"
19"The needle on the Veil"
ratio0.963
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences27
matches(empty)
ratio0
87.91% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences13
technicalSentenceCount1
matches
0"The air smelled of damp earth and something older—something that clung to the walls like a second skin."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount2
matches
0"Quinn said, her voice low"
1"Quinn said, her voice cutting through the tension"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences13
tagDensity0.154
leniency0.308
rawRatio0
effectiveRatio0
73.8240%