Run: 2026-07-25-01KYCWRQ6RR69S7VMEYEHACZAB

Run Details

Duration:
8.2s
Cost:
$0.003925
Provider:
Google AI Studio

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 damp air of the abandoned Tube station tasted of copper, ozone, and old soot. Detective Harlow Quinn stepped off the rusted iron ties, her boots crunching over pulverized ballast and glass. Above her, the arched brick ceiling of the platform vanished into impenetrable shadow, weeping black water that pooled between the rails with a slow, greasy rhythm. Eighteen years on the Metropolitan Police force had inured her to the grim theater of homicide, but this particular amphitheater resisted categorization. Camden’s disused subterranean lines were no strangers to vagrants and rough sleepers, but the body laid out across the center platform did not belong to a drifter. It rested directly over the painted circle of an old, faded safety line, arms neatly folded across a chest that wore an expensive tweed waistcoat. A small brass compass with a heavy patina of verdigris lay open beside the victim's stiffened fingers, its delicate face etched with protective sigils that didn't look like any standard graffiti Harlow had cataloged in her career. Harlow checked her left wrist, her thumb automatically brushing the worn leather band of her watch. Four-fifteen in the morning. She kept her posture rigid, her shoulders squared with military precision as she surveyed the perimeter. Constable Hayes stood a few yards away, hovering near the crumbling brick pillar of the station entrance with a handkerchief pressed to his nose. Rough landing for a Sunday stroll, Hayes said, his voice bouncing hollowly off the curved tile walls. Sergeant Miller called it in ten minutes ago. Looks like a robbery gone sideways. Muggers down here are getting bolder. See his pockets? Turned inside out. Wallet is gone. Harlow didn't answer right away. She walked the perimeter with measured strides, her eyes cataloging the spatial geometry of the platform. Her closely cropped salt-and-pepper hair caught the harsh, erratic beam of her heavy-duty torch as she swept it along the ground. Robbery, Harlow murmured, her voice flat. Standard mugging, Hayes insisted, emboldened by her silence. Tramp gets greedy, rolls a city gent who took a very wrong turn off the Northern Line. One good crack to the temple with a lead pipe, wallet lifted, killer takes off up the service stairs toward Chalk Farm. Simple. Clean. Is it? Harlow crouched beside the body. She didn't touch the victim, but she leaned in close enough to inspect the ruined tissue of the skull. The injury was catastrophic—a depression fracture above the right ear that should have sprayed arterial blood and biological matter across a wide radius of the platform. Yet, the brickwork directly behind the head was pristine. The dust on the platform floor, undisturbed for decades save for their own boots, formed a perfect, unbroken circle around the corpse. There were no drag marks. There were no scuff shoes, no frantic footprints of a struggle, no blood spatter tracing the arc of a weapon. He was laid here, Harlow said quietly. Not dropped. Placed. Hayes shifted his weight, his boots crunching loudly on the glass. Well, maybe the mugger cleaned up after himself? Wiped the floor? With what, a sponge? Look at the dust, Hayes. It hasn't settled. It's uniform. If someone had scrubbed this concrete ten minutes ago, we'd see the sweep marks in the grime. Harlow stood up, her sharp jaw tight. She directed the beam of her torch upward, sweeping the ceiling rafters and the dark maw of the tunnel leading south toward King’s Cross. Something about the air pressure down here felt wrong—thin, dry, and cold, like opening a freezer door in the middle of summer. It reminded her of things she tried not to think about, things she had buried three years ago when DS Morris vanished into a locked interrogation room that had no other exits. And the wallet? Hayes offered, pressing his point. If it wasn't a robbery, why is his jacket lining torn open and his pockets empty? Harlow looked down at the brass compass resting near the dead man's fingers. The needle wasn't twitching toward magnetic north. It wasn't moving at all. It sat dead-locked, pointing straight down into the ballast, vibrating with a high-frequency hum that Harlow could feel vibrating faintly in her teeth. It wasn't a wallet they were after, she said. What else is there to steal off a corpse? Information, Harlow whispered. Or whatever was inside that brass casing. She knelt again, this time ignoring the protocol of the crime scene to lean over the compass. The verdigris on the metal was thick, smelling faintly of old pennies and sea salt. It wasn't manufactured in any foundry she knew of. It looked old—older than the Tube station, older perhaps than the city above them. Look at the walls, Hayes. The constable squinted, stepping closer. The bricks? They’re damp. They’re not damp, Harlow corrected, her heart executing a slow, heavy thud against her ribs. They’re weeping. And look at the mortar between them. Hayes stepped forward, bringing his own light down. Along the curvature of the tunnel wall, three feet above the platform level, the old lime mortar was crumbling away in neat, uniform lines. Not from dampness or root rot. It looked as though the stones were slowly shifting, sliding sideways by a fraction of an inch, opening microscopic fissures that smelled faintly of ozone and crushed lavender. A spatial tear, Harlow muttered to herself, the memory of Morris's case file flashing behind her eyelids—reports of missing persons, unexplained energy spikes beneath the pavements of London, and rumors of a hidden bazaar that only appeared on the full moon. Beg pardon, Detective? Hayes asked, peering at her through the gloom. You think there's a structural failure in the tunnel? Harlow stood, brushing a speck of soot from the knee of her trousers. She locked her jaw and reached into her coat pocket to retrieve her radio. Call the district commander, Hayes. Tell him we need the area sealed off immediately. Not just the station—clear the streets above. Two block radius. For a mugging? Hayes’s eyes widened behind his constable's cap. It's not a mugging, Harlow said, her eyes fixed on the weeping brickwork as the microscopic gaps in the wall began to widen, whispering with a sound like wind blowing through dry grass. Send for the specialist unit out of Whitehall. The ones who don't carry badges. Hayes swallowed hard, staring from Harlow's stone-cold expression to the pristine body in the tweed suit. Without another word, he snatched the radio from his belt and backed away down the platform. Harlow didn't move. She kept her hand resting near the butt of her service weapon, watching the brass compass on the floor. The needle had finally begun to spin, frantically seeking something invisible in the dark.
created_at"2026-07-25T15:02:15.01Z" 7/25/2026, 3:02:15 PM
model"google/gemini-3.5-flash-lite-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency301
moderation_latency(null)
generation_time8126
tokens_prompt896
tokens_completion1726
native_tokens_prompt883
native_tokens_completion1464
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached0
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"default"
usage0.0039249
router(null)
provider_responses
0
endpoint_id"6bd8f433-79e1-416c-b407-1772eb796c9a"
id"989kapruBbj-jrEPjqDDwQU"
is_byokfalse
latency301
model_permaslug"google/gemini-3.5-flash-lite-20260721"
provider_name"Google AI Studio"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1784991735-hJ5Jl8SOSQwbadfbg87t"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784991735-jtLWF4D6sOSgeji1FY0A"
upstream_id"989kapruBbj-jrEPjqDDwQU"
total_cost0.0039249
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
91.14% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1129
totalAiIsmAdverbs2
found
0
adverb"very"
count1
1
adverb"slowly"
count1
highlights
0"very"
1"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)
33.57% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1129
totalAiIsms15
found
0
word"etched"
count1
1
word"standard"
count2
2
word"cataloged"
count1
3
word"measured"
count1
4
word"silence"
count1
5
word"pristine"
count2
6
word"perfect"
count1
7
word"tracing"
count1
8
word"weight"
count1
9
word"maw"
count1
10
word"magnetic"
count1
11
word"could feel"
count1
12
word"gloom"
count1
highlights
0"etched"
1"standard"
2"cataloged"
3"measured"
4"silence"
5"pristine"
6"perfect"
7"tracing"
8"weight"
9"maw"
10"magnetic"
11"could feel"
12"gloom"
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
narrationSentences96
matches(empty)
98.21% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences96
filterMatches
0"watch"
1"think"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences96
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen42
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1124
ratio0
matches(empty)
11.36% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions5
matches
0"Rough landing for a Sunday stroll, Hayes said, his voice bouncing hollowly off the curved tile walls."
1"Robbery, Harlow murmured, her voice flat."
2"Standard mugging, Hayes insisted, emboldened by her silence."
3"He was laid here, Harlow said quietly."
4"Information, Harlow whispered."
74.38% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions48
wordCount1124
uniqueNames18
maxNameDensity1.51
worstName"Harlow"
maxWindowNameDensity2.5
worstWindowName"Harlow"
discoveredNames
Tube2
Harlow17
Quinn1
Metropolitan1
Police1
Hayes12
Sunday1
Miller1
Northern1
Line1
Chalk1
Farm1
King1
Cross1
Morris2
London1
Detective2
Whitehall1
persons
0"Harlow"
1"Quinn"
2"Police"
3"Hayes"
4"Miller"
5"King"
6"Cross"
7"Morris"
places
0"Chalk"
1"Farm"
2"London"
globalScore0.744
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences65
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1124
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences96
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs32
mean35.13
std23.21
cv0.661
sampleLengths
058
122
289
336
424
546
642
76
849
926
1082
1110
1253
1385
1424
1548
169
179
1810
1955
205
219
2224
2366
2441
2520
2627
2724
2810
2947
3032
3136
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences96
matches
0"was laid"
90.11% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs182
matches
0"wasn't twitching"
1"was crumbling"
2"were slowly shifting"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences5
totalSentences96
ratio0.052
matches
0"The injury was catastrophic—a depression fracture above the right ear that should have sprayed arterial blood and biological matter across a wide radius of the platform."
1"Something about the air pressure down here felt wrong—thin, dry, and cold, like opening a freezer door in the middle of summer."
2"It looked old—older than the Tube station, older perhaps than the city above them."
3"A spatial tear, Harlow muttered to herself, the memory of Morris's case file flashing behind her eyelids—reports of missing persons, unexplained energy spikes beneath the pavements of London, and rumors of a hidden bazaar that only appeared on the full moon."
4"Not just the station—clear the streets above."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1136
adjectiveStacks0
stackExamples(empty)
adverbCount30
adverbRatio0.02640845070422535
lyAdverbCount16
lyAdverbRatio0.014084507042253521
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences96
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences96
mean11.71
std8.97
cv0.766
sampleLengths
015
117
226
322
427
525
637
716
84
916
1024
1117
128
136
146
153
163
173
185
1916
2021
216
228
2317
2422
251
261
272
285
2919
3026
319
3222
335
3420
357
362
371
3811
398
403
414
425
433
442
4517
467
4724
4822
4932
81.94% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.5416666666666666
totalSentences96
uniqueOpeners52
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences87
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences87
matches
0"It rested directly over the"
1"She kept her posture rigid,"
2"She walked the perimeter with"
3"Her closely cropped salt-and-pepper hair"
4"She didn't touch the victim,"
5"He was laid here, Harlow"
6"It hasn't settled."
7"She directed the beam of"
8"It reminded her of things"
9"It wasn't moving at all."
10"It sat dead-locked, pointing straight"
11"It wasn't a wallet they"
12"She knelt again, this time"
13"It wasn't manufactured in any"
14"It looked old—older than the"
15"They’re not damp, Harlow corrected,"
16"It looked as though the"
17"You think there's a structural"
18"She locked her jaw and"
19"It's not a mugging, Harlow"
ratio0.241
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount56
totalSentences87
matches
0"The damp air of the"
1"Detective Harlow Quinn stepped off"
2"Camden’s disused subterranean lines were"
3"It rested directly over the"
4"A small brass compass with"
5"Harlow checked her left wrist,"
6"She kept her posture rigid,"
7"Constable Hayes stood a few"
8"Sergeant Miller called it in"
9"Looks like a robbery gone"
10"Muggers down here are getting"
11"Wallet is gone."
12"Harlow didn't answer right away."
13"She walked the perimeter with"
14"Her closely cropped salt-and-pepper hair"
15"Robbery, Harlow murmured, her voice"
16"Standard mugging, Hayes insisted, emboldened"
17"Tramp gets greedy, rolls a"
18"Harlow crouched beside the body."
19"She didn't touch the victim,"
ratio0.644
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences87
matches
0"Yet, the brickwork directly behind"
1"If someone had scrubbed this"
2"If it wasn't a robbery,"
ratio0.034
55.75% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences41
technicalSentenceCount5
matches
0"Above her, the arched brick ceiling of the platform vanished into impenetrable shadow, weeping black water that pooled between the rails with a slow, greasy rhy…"
1"It rested directly over the painted circle of an old, faded safety line, arms neatly folded across a chest that wore an expensive tweed waistcoat."
2"A small brass compass with a heavy patina of verdigris lay open beside the victim's stiffened fingers, its delicate face etched with protective sigils that didn…"
3"The injury was catastrophic—a depression fracture above the right ear that should have sprayed arterial blood and biological matter across a wide radius of the …"
4"It looked as though the stones were slowly shifting, sliding sideways by a fraction of an inch, opening microscopic fissures that smelled faintly of ozone and c…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
84.5490%