Run: 2026-03-18-01KM0AQHVVDW37C6DNVY1BQ88N

Run Details

Duration:
20.5s
Cost:
$0.001274
Provider:
Mistral

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
The Tube station’s old marble tiles were slick with condensation, the air thick with the scent of damp stone and something else—copper, maybe, or the ghost of old blood. Detective Harlow Quinn stepped carefully over the caution tape, her boots making no sound on the decaying floor. The abandoned platform stretched ahead of her, the far end lost in the dim glow of a single work light. Yellow police tape fluttered like a dying thing in the stale breeze from the tunnel. Her leather watch, worn smooth at the edges, read 3:17 AM. Three minutes past the deadline she’d given herself. Quinn’s jaw tightened. This was supposed to be a simple missing persons case. Natasha Vogel, 24, last seen leaving a nightclub in Soho two nights ago. Standard procedure: check cameras, talk to friends, rule out foul play. But Natasha hadn’t just disappeared. She’d vanished in a place where no cameras worked, where the floor tiles were freshly scrubbed, where the air itself seemed to hum with the wrong kind of silence. She crouched beside the body. Natasha lay sprawled on her back, limbs splayed unnaturally, as if she’d been dropped from a great height. Her skin was pale, lips slightly blue. No visible wounds. No defensive marks. No signs of struggle. But there was something wrong with the way her eyes stared upward—not empty, not lifeless, but *fixed*, as if locked onto something no one else could see. “You’re late,” came a voice behind her. Quinn didn’t turn. She didn’t need to. She knew that tone—dry, precise, the kind of politeness that edges into sarcasm without quite crossing the line. She rose slowly, brushing dust from her trouser knees. Detective Inspector Daniel Reeves stood near the platform’s edge, arms crossed, his sharp gaze flicking over the scene with the same detached scrutiny he’d applied to every crime scene they’d worked together over the past decade. But something was different now. A tension in his posture. A distance. “Traffic,” she said simply. “Would’ve been here sooner if the bloody Tube still ran this deep.” Reeves exhaled through his nose, almost a laugh. “Never thought I’d miss the Northern Line.” She ignored the jab and stepped closer to Natasha’s body, her brown eyes scanning the details she’d already noted in her mind. No blood. No bruising. No signs of sexual assault. Just… absence. “No defensive wounds,” Quinn murmured. “No signs of a struggle.” “She was drugged,” Reeves said, voice flat. “Found a syringe in her coat pocket. Standard sedative. GHB, fast-acting. No needle marks on her skin, so it’s probable she was injected elsewhere. Maybe in the club. Maybe before.” Quinn nodded. That fit. Natasha had been out with friends. CCTV showed her leaving voluntarily. No signs of coercion. But something still didn’t sit right. She reached into her coat pocket and withdrew a pair of nitrile gloves, snapping them on with practiced ease. Then she lifted Natasha’s left wrist. No watch. No ID bracelet. Just smooth, unmarked skin. “Where’s her phone?” Quinn asked. “Missing.” She frowned. That was odd. Natasha’s belongings—phone, purse, keys—should have been logged, secured. But nothing was here. Not even a shadow on the floor where they might have been dropped. She leaned closer, studying Natasha’s face. The pupils were dilated, not pinpoint. That could be consistent with drug use. But her skin was too cool, too still. The lividity—gravity pooling in the lowest points—was fixed too soon. Not hours. Minutes. Quinn’s stomach tightened. “Time of death?” she asked. Reeves flipped open his notebook. “Between midnight and 1 AM, based on liver temp and rigor. But the pathologist is calling it sooner. Closer to midnight. Logs her body temp at 22°C when found, which is below ambient. She’s been cooling faster than expected.” Quinn exhaled slowly. “That means she wasn’t moved. She died here.” Reeves didn’t answer. He didn’t have to. The implication hung between them: Natasha Vogel hadn’t been taken from Soho and dumped in the tunnels. She’d been killed where she stood. Quinn crouched again, this time near Natasha’s right hand. The fingers were slightly curled, not clenched. But something glinted beneath her fingernail. A sliver of something dark, caught in the crease. She reached for her penlight and angled it down. A hair. Not Natasha’s. Thick, curly, red against the pale skin of Natasha’s palm. Quinn plucked it free with her gloved fingers and held it up to the light. “You see this?” she asked. Reeves stepped closer, his brow furrowing. “Fiber or hair. Could be from the club.” Quinn shook her head. “Too long. Too curly. Not a club wig. Not synthetic.” Reeves said nothing. He didn’t need to. They both knew what this looked like. Quinn turned slowly, scanning the platform. The scrubbed tiles. The lack of footprints. The single work light casting a sickly yellow glare over the scene. And then she saw it. Near the far end of the platform, half-hidden in shadow, was a patch of floor that wasn’t tile. It was metal. A service hatch, slightly ajar. The kind used for maintenance access to the old Tube tunnels. Quinn’s pulse quickened. She moved toward it, stepping over the caution tape without breaking stride. Reeves followed, silent. She knelt and pulled the hatch open fully. A narrow metal ladder descended into darkness. The air from below smelled of rust and something older—wet earth, like an underground river. She pulled out her phone, activating the flashlight app. The beam cut through the gloom but only revealed more darkness. “There’s a service tunnel down there,” she said. “Standard maintenance access. Could lead to the old Northern Line tunnels.” Reeves leaned in. “So what? Someone lured her down here, injected her, left her to freeze?” Quinn didn’t answer. She was thinking of the syringe. The missing phone. The red hair. The patched floor. And the fact that this station—Mark Lane—had been closed for over forty years. She pulled out her radio, keyed the mic. “Control, this is Detective Quinn. I need a search team to Mark Lane Station. Descend into the maintenance tunnels. Bring forensics. Bring thermal imaging. And bring backup—*actual* backup. Not just a couple of PCs with torches.” There was a pause. Then a voice crackled back. “Control to Detective Quinn, say again your location?” Quinn’s jaw clenched. “Mark Lane Station. Abandoned Northern Line. And you’ll want to send someone who knows these tunnels. Because this place isn’t just abandoned, Control. It’s *warded*.” Silence. Reeves raised an eyebrow. Quinn ignored him. She stepped back from the hatch, scanning the platform again. Something glinted near the base of the platform wall. She knelt. A small object half-buried in the dust. She brushed it clean. A bone token. Carved with sigils. Old. Cracked at the edges. She held it up to the light. It was a key to somewhere she’d only heard of in whispers—the Veil Market, a black market beneath the city where not just drugs and weapons changed hands, but *time*, *memories*, *identities*. She flipped it over. Engraved on the reverse: a simple phrase. *Come back when you’re ready.* Quinn clenched her fist. Natasha Vogel hadn’t come here by accident. No one stumbled into the Veil Market. Not alive. Someone had brought her. And someone had taken her. She looked at Reeves. “We’re not dealing with a missing person anymore.” Reeves’ gaze darkened. “What are we dealing with, Detective?” Quinn stood, tucking the bone token into an evidence bag. “We’re dealing with a murder,” she said. “And someone who knows these tunnels better than we do.” She pulled out her phone again, swiping to a saved contact. A name: Eva Kowalski. She hesitated. Quinn had worked too many cases alone since Morris died. But Eva had been there during the last one—the case that had left Morris dead and Quinn haunted. Eva had helped her piece together the truth. She knew things most people wouldn’t believe. Quinn tapped the call icon. It rang once before a voice answered, breathless. “Harlow? It’s three in the morning.” “Eva,” Quinn said. “I need your help.” A pause. Then, quietly: “Of course.” Quinn ended the call. She looked at Reeves. “Get the team ready. We’re going down.” Reeves blinked. “Down where?” Quinn slipped the evidence bag into her coat pocket. “Into the dark.”
created_at"2026-03-18T11:19:10.983Z" 3/18/2026, 11:19:10 AM
model"mistralai/mistral-small-2603" 1/1/2603, 12:00:00 AM
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency544
moderation_latency(null)
generation_time20400
tokens_prompt923
tokens_completion2288
native_tokens_prompt887
native_tokens_completion1926
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached112
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"
usage0.00127353
router(null)
provider_responses
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endpoint_id"f5ed6283-4e17-457d-98cd-2ec0c318171d"
id"7f2ee99e6641487cb7adfbe58adb6ba6"
is_byokfalse
latency544
model_permaslug"mistralai/mistral-small-2603" 1/1/2603, 12:00:00 AM
provider_name"Mistral"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773832750-Ma5FSyBMTSxj1Z5P1t99"
upstream_id"7f2ee99e6641487cb7adfbe58adb6ba6"
total_cost0.00127353
cache_discount0.00001512
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
totalTags9
adverbTagCount1
adverbTags
0"she said simply [simply]"
dialogueSentences33
tagDensity0.273
leniency0.545
rawRatio0.111
effectiveRatio0.061
74.84% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1391
totalAiIsmAdverbs7
found
0
adverb"carefully"
count1
1
adverb"slightly"
count3
2
adverb"slowly"
count3
highlights
0"carefully"
1"slightly"
2"slowly"
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)
24.51% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1391
totalAiIsms21
found
0
word"marble"
count1
1
word"fluttered"
count1
2
word"standard"
count3
3
word"silence"
count2
4
word"tension"
count1
5
word"scanning"
count3
6
word"practiced ease"
count1
7
word"stomach"
count1
8
word"implication"
count1
9
word"furrowing"
count1
10
word"synthetic"
count1
11
word"pulse"
count1
12
word"quickened"
count1
13
word"gloom"
count1
14
word"jaw clenched"
count1
15
word"eyebrow"
count1
highlights
0"marble"
1"fluttered"
2"standard"
3"silence"
4"tension"
5"scanning"
6"practiced ease"
7"stomach"
8"implication"
9"furrowing"
10"synthetic"
11"pulse"
12"quickened"
13"gloom"
14"jaw clenched"
15"eyebrow"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"clenched jaw/fists"
count1
1
label"jaw/fists clenched"
count1
highlights
0"clenched her fist"
1"jaw clenched"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences156
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences156
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences179
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen39
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans7
markdownWords11
totalWords1379
ratio0.008
matches
0"fixed"
1"actual"
2"warded"
3"time"
4"memories"
5"identities"
6"Come back when you’re ready."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions72
wordCount1085
uniqueNames16
maxNameDensity2.21
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Tube2
Harlow1
Quinn24
Vogel3
Soho2
Natasha13
Inspector1
Daniel1
Reeves13
Mark1
Lane1
Veil2
Market2
Eva3
Kowalski1
Morris2
persons
0"Harlow"
1"Quinn"
2"Vogel"
3"Natasha"
4"Inspector"
5"Daniel"
6"Reeves"
7"Mark"
8"Lane"
9"Eva"
10"Kowalski"
11"Morris"
places
0"Soho"
1"Veil"
globalScore0.394
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences69
glossingSentenceCount1
matches
0"looked like"
0.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches3
per1kWords2.175
wordCount1379
matches
0"not empty, not lifeless, but *fixed*, as if locked onto something no one else could see"
1"not lifeless, but *fixed*, as if locked onto something no one else could see"
2"not just drugs and weapons changed hands, but *time*, *memories*, *identities*"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences179
matches
0"knew that tone"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs70
mean19.7
std18.3
cv0.929
sampleLengths
0101
171
267
37
425
557
616
715
833
910
1037
1125
1234
135
141
1530
1640
173
185
1944
2011
2130
2231
2338
245
2514
2614
2714
2830
2937
303
3115
3230
3320
3419
3516
3618
3713
3844
3917
4028
411
424
4324
4411
4511
467
4732
4811
495
87.27% Passive voice overuse
Target: ≤2% passive sentences
passiveCount8
totalSentences156
matches
0"was supposed"
1"been dropped"
2"been logged"
3"been dropped"
4"were dilated"
5"been taken"
6"been killed"
7"been closed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs193
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount12
semicolonCount0
flaggedSentences9
totalSentences179
ratio0.05
matches
0"The Tube station’s old marble tiles were slick with condensation, the air thick with the scent of damp stone and something else—copper, maybe, or the ghost of old blood."
1"But there was something wrong with the way her eyes stared upward—not empty, not lifeless, but *fixed*, as if locked onto something no one else could see."
2"She knew that tone—dry, precise, the kind of politeness that edges into sarcasm without quite crossing the line."
3"Natasha’s belongings—phone, purse, keys—should have been logged, secured."
4"The lividity—gravity pooling in the lowest points—was fixed too soon."
5"The air from below smelled of rust and something older—wet earth, like an underground river."
6"And the fact that this station—Mark Lane—had been closed for over forty years."
7"It was a key to somewhere she’d only heard of in whispers—the Veil Market, a black market beneath the city where not just drugs and weapons changed hands, but *time*, *memories*, *identities*."
8"But Eva had been there during the last one—the case that had left Morris dead and Quinn haunted."
96.21% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1015
adjectiveStacks0
stackExamples(empty)
adverbCount45
adverbRatio0.04433497536945813
lyAdverbCount16
lyAdverbRatio0.015763546798029555
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences179
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences179
mean7.7
std6.95
cv0.902
sampleLengths
029
118
220
315
411
58
63
710
813
911
105
1129
125
1318
147
153
163
174
1827
197
203
214
2218
239
2436
255
265
272
284
2912
308
317
3222
332
342
355
361
371
385
395
407
4130
422
432
446
455
464
476
4819
496
46.18% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.3240223463687151
totalSentences179
uniqueOpeners58
78.13% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences128
matches
0"Then she lifted Natasha’s left"
1"Just smooth, unmarked skin."
2"Then a voice crackled back."
ratio0.023
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount32
totalSentences128
matches
0"Her leather watch, worn smooth"
1"She’d vanished in a place"
2"She crouched beside the body."
3"Her skin was pale, lips"
4"She didn’t need to."
5"She knew that tone—dry, precise,"
6"She rose slowly, brushing dust"
7"she said simply"
8"She ignored the jab and"
9"She reached into her coat"
10"She leaned closer, studying Natasha’s"
11"He didn’t have to."
12"She’d been killed where she"
13"She reached for her penlight"
14"He didn’t need to."
15"They both knew what this"
16"It was metal."
17"She moved toward it, stepping"
18"She knelt and pulled the"
19"She pulled out her phone,"
ratio0.25
88.91% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount95
totalSentences128
matches
0"The Tube station’s old marble"
1"Detective Harlow Quinn stepped carefully"
2"The abandoned platform stretched ahead"
3"Her leather watch, worn smooth"
4"Quinn’s jaw tightened."
5"This was supposed to be"
6"Natasha Vogel, 24, last seen"
7"She’d vanished in a place"
8"She crouched beside the body."
9"Natasha lay sprawled on her"
10"Her skin was pale, lips"
11"Quinn didn’t turn."
12"She didn’t need to."
13"She knew that tone—dry, precise,"
14"She rose slowly, brushing dust"
15"Detective Inspector Daniel Reeves stood"
16"A tension in his posture."
17"she said simply"
18"Reeves exhaled through his nose,"
19"She ignored the jab and"
ratio0.742
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences128
matches(empty)
ratio0
79.83% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences34
technicalSentenceCount3
matches
0"But there was something wrong with the way her eyes stared upward—not empty, not lifeless, but *fixed*, as if locked onto something no one else could see."
1"She knew that tone—dry, precise, the kind of politeness that edges into sarcasm without quite crossing the line."
2"Near the far end of the platform, half-hidden in shadow, was a patch of floor that wasn’t tile."
69.44% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount1
matches
0"Reeves said, voice flat"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags9
fancyCount1
fancyTags
0"Quinn murmured (murmur)"
dialogueSentences33
tagDensity0.273
leniency0.545
rawRatio0.111
effectiveRatio0.061
78.1773%