Run: 2026-03-18-01KM09FPDPJR3G9DPA0YZQY3HE

Run Details

Duration:
25.3s
Cost:
$0.001787
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 northern line’s last train had dropped her at Camden Town before the tunnels curved into the dark between the stations. Quinn moved against the trickle of late-night stragglers who didn’t question why a woman in a sharp coat and close-cropped salt-and-pepper hair would walk down the emergency stairs marked *TfL Service Only – No Public Access*. The worn leather watch on her left wrist read 02:17 when she descended into the abandoned station. The platform wasn’t abandoned anymore. Light came from a stripped-down fluorescent strip that buzzed like a dying insect, casting yellow fingers across peeling tiles and the skeletal remains of old ticket booths. Cardboard crates and upturned market stalls cluttered the edges, their contents covered by dusty tarps that shivered even though the air was still. At the center of the platform lay a man in a dark suit, arms arranged like a marionette with broken strings, salt etched in jagged lines around him. Eva stood over the body, round glasses reflecting the sickly glow. Her satchel sagged at her side, leather worn soft by years of hauling books through London’s catacombs. She tucked a curl behind her left ear before speaking. “Daniel Mercer. Forty-three. No pulse, no respiration, but the coroner says the body’s too warm for rigor to have set in yet. Almost like⁠—” “He’s still on the clock,” Quinn said, stepping past her. She crouched beside the salt, brushing her fingers near the lines without touching. The residue felt gritty, freshly disturbed. “Why burn it in after he’s down?” Eva’s pen hovered over her notebook. “Protection ward, inverted. Classic invocation circle. Someone tried to summon something inside him, but the salt’s wrong. It’s supposed to be clean, a perimeter, not a shroud.” Quinn studied the body. Mercer’s pockets were turned inside out, but his wallet remained, a twenty-pound note peeking from one of the card slots. His watch was missing, though—a silver Hamilton, expensive for an office worker. “No sign of a struggle,” Quinn said. “No defensive wounds, no torn fabric. But look at his shoes.” The soles were clean, no mud, no grit. Even the scuffs on the toes looked like they’d been buffed away. Eva frowned. “He could’ve been moved postmortem.” Quinn stood, scanning the platform. Blood traces led from the body toward the platform’s edge, but stopped halfway, as if someone had wiped the floor with a damp cloth. The rag marks were too precise—no smears, no drips, just a clean, damp rectangle where the blood should’ve pooled. She walked to the edge, crouched again. The dock platform ended abruptly at a narrow gap above the tracks, capped by a rusted metal panel with a circular drain in its center. Eva followed, satchel bumping her leg. “He didn’t jump. No impact marks on the tracks.” Quinn pointed to the drain cover, ajar by a finger-width. Inside, a glint caught the light. She stood, stepped closer, and knelt. Using the edge of her coat sleeve, she flipped the cover fully open. From within came the damp stench of old water and something else—ozone and charred bone. Quinn reached in. Her fingers closed around something small and cold. She pulled it out: a bone token, roughly palm-sized, split down the middle like a clamshell. Eva inhaled sharply behind her. “Where the hell did that come from?” Quinn turned the token over. It bore the same sigils Quinn had seen carved into the salt—protection runes, but crossed out with fresh scratches, as if someone had defiled the design in haste. “Mercer wasn’t killed here,” Quinn said. “The final scene is downstairs. The Market moves every full moon, but the tunnels beneath this station don’t. They’re older. Permanent. Someone came up through the drain to stage this.” Eva’s pen snapped shut. “The Veil Market’s not a place. It’s a transaction. You don’t just *come up*—you arrive through the trade.” Quinn pocketed the token. “And every token has a matching pair. Someone split this one to gain entry. Come down here with the right currency and no one asks why you’re carrying a corpse.” She stood, brushed dust from her knees. “Mercer was moved postmortem. His heart gave out upstairs while they were setting the stage down here. No blood trail because they drained him first.” Eva’s glasses slid down her nose. “That’s not—hospitals drain blood all the time for transfusions.” Quinn stepped back, eyes tracing the salt circle again. “Mercer wasn’t bled in hospital scrubs. Look at the residue.” She tapped the salt with her fingernail. “It’s not just salt—it’s mixed with dried rose petals and iron oxide. Alchemical prime. Used to mask the scent.” Eva’s fingers tightened on her satchel strap. “What scent?” Quinn stood, wiped her hands on her coat. “The scent of the thing that killed him.” She turned toward the tunnel mouth where the emergency stairs descended further into the dark. Somewhere down there, the Veil Market hummed, trading in secrets and blood. And someone had just traded Daniel Mercer to get in.
created_at"2026-03-18T10:57:24.933Z" 3/18/2026, 10:57:24 AM
model"mistralai/mistral-small-2603" 1/1/2603, 12:00:00 AM
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency416
moderation_latency(null)
generation_time25178
tokens_prompt1149
tokens_completion3200
native_tokens_prompt1074
native_tokens_completion2771
native_tokens_completion_images(null)
native_tokens_reasoning1851
native_tokens_cached272
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"
usage0.00178698
router(null)
provider_responses
0
endpoint_id"f5ed6283-4e17-457d-98cd-2ec0c318171d"
id"33915e6bacfc463bbdae6a6d0391cd00"
is_byokfalse
latency410
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-1773831444-wXnP3m15YFXIbuX6KuZd"
upstream_id"33915e6bacfc463bbdae6a6d0391cd00"
total_cost0.00178698
cache_discount0.00003672
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
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences19
tagDensity0.263
leniency0.526
rawRatio0
effectiveRatio0
94.03% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount837
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)
70.13% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount837
totalAiIsms5
found
0
word"etched"
count1
1
word"pulse"
count1
2
word"scanning"
count1
3
word"glint"
count1
4
word"tracing"
count1
highlights
0"etched"
1"pulse"
2"scanning"
3"glint"
4"tracing"
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
narrationSentences50
matches(empty)
85.71% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences50
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences64
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen39
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords9
totalWords832
ratio0.011
matches
0"TfL Service Only – No Public Access"
1"come up"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions32
wordCount577
uniqueNames12
maxNameDensity2.25
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Camden1
Town1
Service1
Public1
London1
Hamilton1
Quinn13
Eva8
Veil1
Market1
Daniel1
Mercer2
persons
0"Hamilton"
1"Quinn"
2"Eva"
3"Market"
4"Daniel"
5"Mercer"
places
0"Camden"
1"Town"
2"London"
globalScore0.373
windowScore0.333
84.21% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences38
glossingSentenceCount1
matches
0"looked like they’d been buffed away"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount832
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences64
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs27
mean30.81
std18.93
cv0.614
sampleLengths
074
183
238
324
436
533
636
718
820
97
1048
1132
1215
1316
1434
1527
1612
1733
1836
1922
2066
2115
2245
239
2416
2527
2610
98.25% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences50
matches
0"been buffed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs106
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences5
totalSentences64
ratio0.078
matches
0"Quinn moved against the trickle of late-night stragglers who didn’t question why a woman in a sharp coat and close-cropped salt-and-pepper hair would walk down the emergency stairs marked *TfL Service Only – No Public Access*."
1"His watch was missing, though—a silver Hamilton, expensive for an office worker."
2"The rag marks were too precise—no smears, no drips, just a clean, damp rectangle where the blood should’ve pooled."
3"From within came the damp stench of old water and something else—ozone and charred bone."
4"It bore the same sigils Quinn had seen carved into the salt—protection runes, but crossed out with fresh scratches, as if someone had defiled the design in haste."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount588
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.034013605442176874
lyAdverbCount7
lyAdverbRatio0.011904761904761904
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences64
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences64
mean13
std8.63
cv0.664
sampleLengths
021
136
217
35
427
523
628
711
817
910
1024
1110
1213
136
147
156
1627
174
1820
1912
207
2111
228
2312
242
255
265
2724
2819
297
3025
316
329
3310
346
356
3613
3715
383
398
4016
415
427
435
4428
456
4630
474
4818
494
64.58% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.40625
totalSentences64
uniqueOpeners26
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences47
matches
0"Even the scuffs on the"
1"Somewhere down there, the Veil"
ratio0.043
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount12
totalSentences47
matches
0"Her satchel sagged at her"
1"She tucked a curl behind"
2"She crouched beside the salt,"
3"His watch was missing, though—a"
4"She walked to the edge,"
5"She stood, stepped closer, and"
6"Her fingers closed around something"
7"She pulled it out: a"
8"It bore the same sigils"
9"She stood, brushed dust from"
10"She tapped the salt with"
11"She turned toward the tunnel"
ratio0.255
34.47% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount40
totalSentences47
matches
0"The northern line’s last train"
1"Quinn moved against the trickle"
2"The worn leather watch on"
3"The platform wasn’t abandoned anymore."
4"Light came from a stripped-down"
5"Cardboard crates and upturned market"
6"Eva stood over the body,"
7"Her satchel sagged at her"
8"She tucked a curl behind"
9"Quinn said, stepping past her"
10"She crouched beside the salt,"
11"The residue felt gritty, freshly"
12"Eva’s pen hovered over her"
13"Quinn studied the body."
14"Mercer’s pockets were turned inside"
15"His watch was missing, though—a"
16"The soles were clean, no"
17"Quinn stood, scanning the platform."
18"Blood traces led from the"
19"The rag marks were too"
ratio0.851
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences47
matches(empty)
ratio0
53.57% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences24
technicalSentenceCount3
matches
0"Quinn moved against the trickle of late-night stragglers who didn’t question why a woman in a sharp coat and close-cropped salt-and-pepper hair would walk down …"
1"Cardboard crates and upturned market stalls cluttered the edges, their contents covered by dusty tarps that shivered even though the air was still."
2"It bore the same sigils Quinn had seen carved into the salt—protection runes, but crossed out with fresh scratches, as if someone had defiled the design in hast…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences19
tagDensity0.158
leniency0.316
rawRatio0
effectiveRatio0
83.9428%