Run: 2026-05-27-01KSMERQ92V9TCC3KF0Q4YF3YJ

Run Details

Duration:
34.7s
Cost:
$0.000814
Provider:
Parasail

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 station platform stretched endlessly into darkness, the original suitable signage ominously missing. Detective Harlow Quinn stepped carefully over the tracks, her boots making sharp echoes in the cavernous space. The smell of damp earth and something else—ozone, perhaps—filled the air. She glanced at her watch, the worn leather band a comfort against her wrist. Three-thirty in the morning. This case had pulled her from a restless sleep. "Quinn!" The voice came from deeper in the shadows. DS Miller waved profusely, his tall frame partly obscured by what appeared to be crucial crime scene equipment. The artificial lights set up for the occasion made everything surreal, casting long, dancing shadows on the decaying tiles. "Report, Miller," Quinn called back, her voice not quite harsh but definitely lacking in warmth. It was how she always spoke, and it had nothing to do with his presence here. At least, that's what she told herself. As she approached, Miller handed her a cup of what had to be tea—sweet and disturbed, exactly how he knew she liked it despite her never having asked. She accepted it, nodding her thanks as she surveyed the scene. Two figures lay in what appeared to be ritualistic positioning. Their bodies were pale, almost luminous in the uneven light, posing an immediate question: how had anyone found them down here? This wasn't some pedestrian subway that mooned over gentrification. This platform was forgotten, part of the labyrinthine abandoned system that swallowed people whole if they dared trespass. "The first officers on scene said they were pursuing a prowler when they stumbled upon them," Miller explained, following her gaze. "Looks like they interrupted something, maybe?" Quinn sipped her tea, letting the heat spread through her palms. "Unlikely. This feels... prepared. Intentional." She crouched beside one of the bodies, her eyes scanning everything around it. "What've we got so far?" "Two males, mid-twenties. They've confirmed IDs but haven't notified next of kin yet. No immediate signs of struggle, though the positioning is... ceremonial, I guess. Look familiar, does it?" Miller asked, a hopeful glint in his eye. Quinn ignored the bait. Familiar was a dangerous word in her line of work, especially lately. "Time of death?" "Preliminary estimate puts it between two and four AM." "Bradley! Lights!" A constable nearby adjusted the klieg, and a different light angle illuminated the far end of the platform. The shadows shifted, revealing a series of symbols carved into the wall. Quinn stood abruptly, sending tea sloshing in the cup. "What the hell is THIS?" "It's...rawing," Miller began, but Quinn was already striding toward the wall, her hand reaching into the pocket of her coat for the small digital camera she carried everywhere. She snapped photo after photo, varying the angles and zooming in on specific symbols. They were intricate—unlike the crude gang tags she saw downtown. These had layers, intended to be read in a particular sequence. They reminded her of something... something from her research into Morris's final case, the one that ended with his disappearance into a nowhere place that shouldn't exist. "The positioning..." she murmured, circling the bodies again. "Off-axis, almost. This one's head too far back, this one's knees not quite right. Perfect precision in the symbols but... the human subject matter is somehow... deficient." She pulled out her phone, calling up a file she'd kept hidden from even her immediate supervisor. A similar symbol set, drawn in blood, part of Morris's case photos. The resemblance was uncanny. "We need to get Forensics down here, immediately. Full sweep. And I want someone looking into symbols like these—not just online but... deeper." The gate of understanding slid open a fraction in her mind. Morris had been tracking some kind of occult trafficking before he vanished, whispers of an underground market operating in against-the-rules locations, never staying in one place too long. Her eyes landed on something glinting near the edge of the platform—partially obscured by debris but clearly something metallic. With gloved hands, she reached under the pile of rubble to retrieve it. A small brass compass with a needle that spun wildly even as she held it steadily in her palm. One side etched with protective sigils, the other patina of verdigris told the story of age beyond what it should be. A compass with purpose, somehow. The kind Morris had been looking for, the kind rumored to be used in accessing... places. Places like this, perhaps. "You see that?" Miller said. Quinn snapped the compass into an evidence bag, watching as the needle continued its frantic dance even though she wasn't moving. "Make sure this goes directly to the lab, Miller. And personally. No one touches it but you and me. No one." She caught her colleague's eye, holding his gaze with the kind of intensity that made most people uncomfortable. "This isn't some copycat ritual, is it?" Miller's brow furrowed. "Copycat of what?" "Exactly what I'm trying to find out," Quinn replied, her voice dropping low. She turned back to the compas in her palm, hoping it would point toward wherever Morris had been dragged into all those years ago. Toward truth, at least. The symbols on the wall seemed to watch her in turn, their meaning teasing just beyond the edge of her knowledge. Something was wrong with this case, and she was determined to unravel it, even if it meant unraveling everyone and everything around her. In the hollow quiet of the abandoned station, the only true sound was the heartbeat of suspicion, and it was racing.
created_at"2026-05-27T10:13:01.357Z" 5/27/2026, 10:13:01 AM
model"thedrummer/cydonia-24b-v4.1"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency319
moderation_latency(null)
generation_time34566
tokens_prompt923
tokens_completion1466
native_tokens_prompt875
native_tokens_completion1204
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached336
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.0008141
router(null)
provider_responses
0
endpoint_id"4d46db86-63fe-47eb-85f1-6a7567af190c"
id"chatcmpl-04012b43d1eb4c268f736ce2816963fa"
is_byokfalse
latency319
model_permaslug"thedrummer/cydonia-24b-v4.1"
provider_name"Parasail"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.15.0; linux; x64))"
http_referer(null)
request_id"req-1779876781-J7u9yjUwdijAgofTmwZI"
session_id(null)
api_type"completions"
id"gen-1779876781-Ue7aUYvuQ0TOoAHzNnKi"
upstream_id"chatcmpl-04012b43d1eb4c268f736ce2816963fa"
total_cost0.0008141
cache_discount0.0000504
upstream_inference_cost0
provider_name"Parasail"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences20
tagDensity0.45
leniency0.9
rawRatio0
effectiveRatio0
94.61% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount928
totalAiIsmAdverbs1
found
0
adverb"carefully"
count1
highlights
0"carefully"
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)
wordCount928
totalAiIsms20
found
0
word"echoes"
count1
1
word"surreal"
count1
2
word"dancing"
count1
3
word"warmth"
count1
4
word"scanning"
count1
5
word"familiar"
count2
6
word"glint"
count1
7
word"intricate"
count1
8
word"perfect"
count1
9
word"uncanny"
count1
10
word"glinting"
count1
11
word"etched"
count1
12
word"dance"
count1
13
word"intensity"
count1
14
word"furrowed"
count1
15
word"determined"
count1
16
word"unravel"
count1
17
word"unraveling"
count1
18
word"racing"
count1
highlights
0"echoes"
1"surreal"
2"dancing"
3"warmth"
4"scanning"
5"familiar"
6"glint"
7"intricate"
8"perfect"
9"uncanny"
10"glinting"
11"etched"
12"dance"
13"intensity"
14"furrowed"
15"determined"
16"unravel"
17"unraveling"
18"racing"
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
emotionTells1
narrationSentences57
matches
0"g in warmth"
17.54% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount4
narrationSentences57
filterMatches
0"watch"
hedgeMatches
0"appeared to"
1"tended to"
2"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences68
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen39
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords922
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
96.31% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions21
wordCount745
uniqueNames4
maxNameDensity1.07
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn8
Miller7
Morris5
persons
0"Harlow"
1"Quinn"
2"Miller"
3"Morris"
places(empty)
globalScore0.963
windowScore1
95.65% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences46
glossingSentenceCount1
matches
0"not quite harsh but definitely lacking in warmth"
0.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches3
per1kWords3.254
wordCount922
matches
0"not quite harsh but definitely lacking in warmth"
1"not just online but"
2"No one touches it but"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences68
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs29
mean31.79
std17.84
cv0.561
sampleLengths
068
11
245
338
439
558
627
734
837
919
109
112
1230
1314
1428
1562
1635
1733
1823
1939
2032
2140
2225
235
2421
2546
266
2741
2865
86.80% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences57
matches
0"was forgotten"
1"been dragged"
2"was determined"
99.75% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs133
matches
0"was already striding"
1"was racing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences4
totalSentences68
ratio0.059
matches
0"The smell of damp earth and something else—ozone, perhaps—filled the air."
1"As she approached, Miller handed her a cup of what had to be tea—sweet and disturbed, exactly how he knew she liked it despite her never having asked."
2"They were intricate—unlike the crude gang tags she saw downtown."
3"Her eyes landed on something glinting near the edge of the platform—partially obscured by debris but clearly something metallic."
97.82% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount753
adjectiveStacks0
stackExamples(empty)
adverbCount32
adverbRatio0.04249667994687915
lyAdverbCount15
lyAdverbRatio0.0199203187250996
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences68
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences68
mean13.56
std8.45
cv0.623
sampleLengths
013
117
211
314
44
59
61
78
818
919
1015
1116
127
1328
1411
1510
1621
179
1818
1921
206
2111
2218
235
2437
254
2612
273
289
292
3018
3112
329
335
3428
3514
3610
3711
385
3922
408
4127
4217
4312
444
4523
4611
4728
4819
4913
90.20% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.5588235294117647
totalSentences68
uniqueOpeners38
60.61% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences55
matches
0"At least, that's what she"
ratio0.018
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount13
totalSentences55
matches
0"She glanced at her watch,"
1"It was how she always"
2"She accepted it, nodding her"
3"Their bodies were pale, almost"
4"She crouched beside one of"
5"She snapped photo after photo,"
6"They were intricate—unlike the crude"
7"They reminded her of something..."
8"she murmured, circling the bodies"
9"She pulled out her phone,"
10"Her eyes landed on something"
11"She caught her colleague's eye,"
12"She turned back to the"
ratio0.236
41.82% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount46
totalSentences55
matches
0"The station platform stretched endlessly"
1"Detective Harlow Quinn stepped carefully"
2"The smell of damp earth"
3"She glanced at her watch,"
4"This case had pulled her"
5"The voice came from deeper"
6"DS Miller waved profusely, his"
7"The artificial lights set up"
8"Quinn called back, her voice"
9"It was how she always"
10"She accepted it, nodding her"
11"Their bodies were pale, almost"
12"This wasn't some pedestrian subway"
13"This platform was forgotten, part"
14"Miller explained, following her gaze"
15"Quinn sipped her tea, letting"
16"She crouched beside one of"
17"Miller asked, a hopeful glint"
18"Quinn ignored the bait."
19"A constable nearby adjusted the"
ratio0.836
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences55
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences34
technicalSentenceCount1
matches
0"This platform was forgotten, part of the labyrinthine abandoned system that swallowed people whole if they dared trespass."
13.89% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount2
matches
0"She crouched, her eyes scanning everything around it"
1"Quinn replied, her voice dropping low"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount3
fancyTags
0"Quinn called back (call back)"
1"Miller explained (explain)"
2"she murmured (murmur)"
dialogueSentences20
tagDensity0.3
leniency0.6
rawRatio0.5
effectiveRatio0.3
73.1662%