Run: 2026-02-20-01KHY99A1HREPEFR1B0RKR2T21

Run Details

Duration:
5.3s
Cost:
$0.000294
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 reeked of damp and something older, something that clung to the air like a second skin. Quinn’s boots crunched over broken glass as she stepped over the threshold, her sharp jaw set, her leather watch ticking steady against the chaos. The flickering emergency lights cast jagged shadows across the rusted tracks, their glow barely piercing the gloom. A uniformed officer stood near the entrance, his breath visible in the cold. "Detective Quinn. You’re late." Quinn didn’t look up. "Traffic. And you’re not the one who called this in." The officer shifted, uncomfortable under her gaze. "No, sir. But the scene’s… unusual." Unusual. That was the word. Quinn had heard it too many times before. She moved deeper into the station, her boots sinking slightly into the debris. The air thickened, pressing against her skin. The tracks curved ahead, disappearing into darkness, but the stench of blood—fresh, metallic—cut through the damp. Not just blood. Something else. Something *wrong*. A body lay sprawled near the platform edge, half-hidden beneath a tangle of rusted metal. The uniformed officer stepped forward, his radio crackling. "We’ve got a possible homicide. Victim’s—" Quinn cut him off with a sharp glance. "Who called this in?" "Anonymous tip. Said it was urgent." Quinn’s fingers twitched toward her left wrist, where her watch rested. She didn’t trust anonymous tips. Especially not ones that led her here. She crouched beside the body, her gloved hands brushing aside a loose wire. The victim—a man in his late thirties, dressed in a cheap suit—had a knife wound to the chest, but the blood wasn’t just from the blade. His skin bore strange, raised marks, like something had *bit* him. Not from the inside. From the outside. And yet, the wound didn’t bleed like it should. Quinn’s brow furrowed. "What the hell is that?" A voice cut through the tension. "Detective." She turned. DS Carter stood at the entrance, arms crossed, his expression unreadable. "Thought you’d want to see this before the scene gets contaminated." Quinn exhaled through her nose. "You’re the one who found it?" Carter nodded toward the body. "Found him like this. No signs of struggle. No forced entry." Quinn’s gaze flicked to the tracks. "And the train?" "Never came. Tracks are clear." Quinn stood, brushing dirt from her knees. "No witnesses?" "None reported. Just the anonymous tip." Quinn’s jaw tightened. "And the victim?" "Name’s Daniel Mercer. Works at some private security firm. No known enemies." Quinn’s fingers flexed. "No known enemies, but he’s dead in an abandoned Tube station with bite marks that shouldn’t exist." Carter hesitated. "Maybe it’s a cult thing. Some kind of ritual." Quinn’s laugh was sharp. "Cults don’t leave bite marks like this." She moved closer to the body, her eyes tracing the strange patterns on the victim’s skin. They weren’t teeth marks. They were too precise, too *deliberate*. Like something had been *drawn* into his flesh. Carter followed her gaze. "What the hell is that?" Quinn didn’t answer. She reached into her coat, pulling out a small brass compass. The needle spun wildly before settling, pointing not toward the exit, but deeper into the station, toward the darkness beyond the tracks. Carter’s eyes widened. "What’s that?" Quinn didn’t look up. "A Veil Compass. Points to supernatural rifts." Carter’s face paled. "You think this is—" "Supernatural?" Quinn finished for him. "I think this is exactly what it looks like." She stepped back, her gaze sweeping over the scene. The tracks curved into the dark, leading to a place no one should go. And yet, here they were. Carter swallowed hard. "What do we do?" Quinn’s voice was low, steady. "We follow the compass. And we find out who the hell left these marks."
created_at"2026-02-20T19:44:03.134Z" 2/20/2026, 7:44:03 PM
model"mistralai/ministral-8b-2512"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency144
moderation_latency(null)
generation_time4753
tokens_prompt1149
tokens_completion1034
native_tokens_prompt1062
native_tokens_completion897
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"
usage0.00029385
router(null)
provider_responses
0
endpoint_id"c85d26e1-1e0c-449b-9775-2afce7ae510b"
id"8e09dcc267424885a680c8e5ea271fad"
is_byokfalse
latency144
model_permaslug"mistralai/ministral-8b-2512"
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771616643-Mv42QXfIe9Qqje5GfsR4"
upstream_id"8e09dcc267424885a680c8e5ea271fad"
total_cost0.00029385
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
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences28
tagDensity0.036
leniency0.071
rawRatio0
effectiveRatio0
92.03% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount627
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"slightly"
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)
52.15% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount627
totalAiIsms6
found
0
word"gloom"
count1
1
word"furrowed"
count1
2
word"tension"
count1
3
word"unreadable"
count1
4
word"flicked"
count1
5
word"tracing"
count1
highlights
0"gloom"
1"furrowed"
2"tension"
3"unreadable"
4"flicked"
5"tracing"
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
narrationSentences56
matches(empty)
91.84% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences56
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences83
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans4
markdownWords4
totalWords622
ratio0.006
matches
0"wrong"
1"bit"
2"deliberate"
3"drawn"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions24
wordCount442
uniqueNames3
maxNameDensity3.62
worstName"Quinn"
maxWindowNameDensity5.5
worstWindowName"Quinn"
discoveredNames
Tube1
Carter7
Quinn16
persons
0"Carter"
1"Quinn"
places(empty)
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences29
glossingSentenceCount0
matches(empty)
39.23% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.608
wordCount622
matches
0"not toward the exit, but deeper into the station, toward the darkness beyond the trac"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences83
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs35
mean17.77
std14.61
cv0.822
sampleLengths
061
117
214
313
413
543
629
712
86
923
1066
118
127
1324
1411
1516
169
175
189
196
206
2112
2220
2311
2411
2534
269
2736
285
2911
307
3114
3228
337
3419
99.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences56
matches
0"been *drawn"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs79
matches(empty)
74.01% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences2
totalSentences83
ratio0.024
matches
0"The tracks curved ahead, disappearing into darkness, but the stench of blood—fresh, metallic—cut through the damp."
1"The victim—a man in his late thirties, dressed in a cheap suit—had a knife wound to the chest, but the blood wasn’t just from the blade."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount447
adjectiveStacks0
stackExamples(empty)
adverbCount14
adverbRatio0.03131991051454139
lyAdverbCount4
lyAdverbRatio0.008948545861297539
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences83
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences83
mean7.49
std5.32
cv0.71
sampleLengths
020
124
217
313
44
54
610
77
86
91
104
118
1213
137
1416
153
162
172
1815
198
206
218
224
236
2411
255
267
2713
2826
2911
304
313
329
333
345
356
361
372
3811
3911
405
416
425
4311
446
453
465
477
482
496
62.65% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.39759036144578314
totalSentences83
uniqueOpeners33
65.36% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences51
matches
0"Especially not ones that led"
ratio0.02
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount9
totalSentences51
matches
0"She moved deeper into the"
1"She didn’t trust anonymous tips."
2"She crouched beside the body,"
3"His skin bore strange, raised"
4"She moved closer to the"
5"They weren’t teeth marks."
6"They were too precise, too"
7"She reached into her coat,"
8"She stepped back, her gaze"
ratio0.176
28.63% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount44
totalSentences51
matches
0"The abandoned Tube station reeked"
1"Quinn’s boots crunched over broken"
2"The flickering emergency lights cast"
3"A uniformed officer stood near"
4"Quinn didn’t look up."
5"The officer shifted, uncomfortable under"
6"That was the word."
7"Quinn had heard it too"
8"She moved deeper into the"
9"The air thickened, pressing against"
10"The tracks curved ahead, disappearing"
11"A body lay sprawled near"
12"The uniformed officer stepped forward,"
13"Quinn cut him off with"
14"Quinn’s fingers twitched toward her"
15"She didn’t trust anonymous tips."
16"She crouched beside the body,"
17"The victim—a man in his"
18"His skin bore strange, raised"
19"Quinn’s brow furrowed."
ratio0.863
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences51
matches(empty)
ratio0
98.21% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences16
technicalSentenceCount1
matches
0"The abandoned Tube station reeked of damp and something older, something that clung to the air like a second skin."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
83.4368%