Run: 2026-09-02-01M1HH6NHGWRMQD3P59JMPY2MR

Run Details

Duration:
12.8s
Cost:
$0.009388
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 air thirty feet beneath Camden smelled of stagnant water, copper shavings, and old grease. Harlow Quinn stepped off the rusted iron rung of the maintenance ladder, her boots hitting the track ballast with a dry crunch that carried down the curved tunnel like a gunshot. She paused, rolling her shoulders back to settle her coat against the subterranean chill, her left hand coming up instinctively to brush the worn leather strap of her watch. Quarter past two in the morning. Ahead, work lights glared against the subterranean gloom, their harsh halogen beams cutting through drifting flecks of dust. Yellow crime-scene tape fluttered feebly in the draft between two Victorian cast-iron pillars. This spur had been walled off since the blitz, officially omitted from modern transport maps. Yet someone had pried the heavy steel bulkhead open with a pneumatic jack, and beyond it lay a platform that should not have existed. "Watch the grease on the threshold, Detective," a voice called out. Quinn ducked under an archway of flaking green tile. Eva Kowalski stood beside a mobile forensics table, her small frame swallowed by a heavy trench coat that hung nearly to her shins. A worn leather satchel bulged heavily at her hip, stuffed with enough calfskin-bound folios to drag down her left shoulder. She looked young—far too young to be called out to an active homicide scene—her round glasses sliding down the bridge of her freckled nose as she squinted over an evidence tray. Seeing Quinn, Eva quickly tucked a loose coil of curly red hair behind her left ear. "Kowalski," Quinn said, keeping her stride measured, her military bearing unyielding despite the damp, uneven ground. Her sharp jaw was set. "Forensics called you in before the coroner even bagged the torso. Why?" "Chief Superintendent’s orders, actually," Eva replied, green eyes shifting briefly toward the far end of the tiled hall. "When the patrolmen found the... arrangement, someone thought it resembled late-nineteenth-century ceremonial artifacts. Since I'm on file with the British Museum’s loan liaison for the Yard, my phone rang at midnight." Quinn didn't care for museum liaisons at crime scenes, nor did she care for the uneasy prickle rising at the base of her neck. It felt too familiar. It felt like a rain-slicked dock in Rotherhithe three years ago, staring into a warehouse where Morris had drawn his service weapon and stepped into shadows that had somehow swallowed him whole, leaving behind only his badge and an empty holster. She stepped onto the platform proper. The architecture was wrong. The tiles were white and deep viridian, glazed with patterns that didn't match the Northern line’s standard design. Stall stanchions lined the platform edge—empty now, stripped bare, but hook-scarred and soot-stained, as if a bustling market had been packed up and evacuated within minutes. And in the center of the platform lay the victim. A man, mid-forties, sprawled face-down over the tracks. He was dressed in high-end civilian clothes—a bespoke charcoal overcoat, handmade brogues—but he had been thoroughly rifled through. No wallet, no phone. "Uniform thinks it's a mugging that went sideways," Eva said, stepping closer, careful to place her overshoes on the plastic runners laid down by the crime scene techs. "An illicit trespasser who stumbled down an open grate, encountered street sleepers or scavengers, took a heavy blow to the occipital bone, and was dumped over the edge. Simple robbery." "Uniform is blind," Quinn said flatly. She knelt beside the edge of the platform, the concrete cold through her trousers. She clicked on her high-intensity torch, sweeping the beam over the ballast. "Look at the hands," Quinn murmured. Eva tilted her head, pushing her glasses up. "Defensive wounds?" "No wounds at all. His palms are clean. If he fell from this platform after taking a blow to the head, he would have either braced on instinct or tumbled slack. But his sleeves are rolled up two inches, neatly cuffed. There's no gravel embedded in the skin of his wrists. And look at the track bed." Quinn traced the beam along the rails. The steel was orange with decades of rust, but in a clean, perfect circle around the body, the rust was gone. The metal gleamed like freshly lathed silver. Within that two-yard perimeter, not a single speck of dust or grease remained; the wooden sleepers looked bleached, bone-dry, as if all moisture had been violently sucked from the grain. "A blunt force trauma doesn't scour iron," Quinn said. She stood up, her brown eyes narrowing as she surveyed the vaulted space. "He didn't die here. He was placed here. Carefully." "Perhaps they used an acid wash to destroy DNA?" Eva offered, though there was a hesitant, strained note in her voice. Her fingers fluttered back to her ear, tucking the red hair away again. "Bleach or lye would strip the rust." "Lye runs. It pools in the gravel," Quinn countered. "This is a mathematically precise radius. Exactly six feet across. You’re the Oxford scholar, Kowalski. Tell me which commercial solvent cleans in a compass-drawn circle without spilling between the ties?" Eva pressed her lips together and remained silent. She glanced toward the dark tunnel mouth where the tracks curved deeper into the subterranean belly of Camden, vanishing into total blackness. Quinn turned her attention to the evidence tray Eva had been examining. Upon it lay a small handful of items retrieved from the immediate vicinity: three shattered ceramic beads, an odd piece of polished antler carved with notches, and a round brass object about the size of a pocket watch. Quinn picked up the brass object with a gloved hand. It was heavy, far heavier than it looked. The casing was corroded with a mottled, chalky patina of verdigris, but the hinge moved with fluid, oiled silence. When she popped the latch, the lid sprang open to reveal a glass face. There were no cardinal points—no North, South, East, or West. Instead, thin, interlocking sigils had been etched into the silvered dial, intricate and sharp as scalpel cuts. At its center, a blackened needle spun erratically, shuddering back and forth like a trapped insect, before snapping suddenly toward the darkness of the north tunnel. "Found that five feet from his left hand," Eva said softly. Her voice had dropped, shedding its polite academic cadence. "Under a pile of dry ballast." "What is it?" Quinn asked, watching the needle vibrate against its pivot with an unnatural urgency. "It’s... an antique," Eva said carefully. "A novelty piece. Nineteenth-century spiritualism was obsessed with automatons and charged metals. They called them spirit dials, or shadow gauges." "Don't patronize me, Kowalski." Quinn shifted her weight, locking her gaze onto the younger woman. "I spent eighteen years listening to junkies, thieves, and corrupt politicians lie to my face. Your pulse is hammering in your throat, your satchel is heavy with research that wasn't approved through Met liaison channels, and you knew what this station was before you walked down that iron ladder." Eva blinked, the freckles standing out against the sudden pale drain of her cheeks. "Detective—" "Look around," Quinn interrupted, gesturing with the brass compass toward the empty platform. "These fixtures aren't Victorian railway fittings. Those iron rings in the walls are tether points for stalls. There are soot marks from braziers, not gas lamps. And the air doesn't smell like a tomb. It smells like crushed cloves, burnt tallow, and ozone." Quinn stepped closer, her taller frame casting a sharp shadow over the researcher. "A market was here. Within the last twenty-four hours. What was this man buying?" Eva swallowed hard. Her gaze dropped to the compass in Quinn's leather-clad palm. "He wasn't buying anything," Eva whispered, her eyes darting toward the two patrolmen standing fifty yards away near the access ladder, out of earshot. "He was the gatekeeper." "Speak plainly." "If I speak plainly, you will sign a committal order or suspend me for tampering," Eva said, her knuckles whitening against the strap of her satchel. "You want to know why the track bed is bleached? Because whatever came through didn't come down the ladder. It tore through the seam. That compass doesn't point to magnetic north, Detective Quinn. It never has." Quinn stared down at the needle. It remained rigidly fixed, trembling with a frantic, humming tension toward the black tunnel mouth, pointing into the deep, dead earth beneath Camden where no train had run for eighty years. She thought of Morris’s missing sidearm, the cold draft that had smelled of salt water in an inland basement, and the way the precinct had closed the file under 'accidental drowning' without ever producing a body. The brass in her hand felt cold, but beneath the metal, a distinct, rhythmic pulse tapped against the glass—like a second watch, keeping time for an entirely different world. "Then show me," Quinn said, snapping the lid shut, "where it's pointing."
created_at"2026-09-02T17:03:26.776Z" 9/2/2026, 5:03:26 PM
model"google/gemini-3.8-flash-20260902"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1156
moderation_latency(null)
generation_time12780
tokens_prompt896
tokens_completion2372
native_tokens_prompt883
native_tokens_completion2327
native_tokens_completion_images0
native_tokens_reasoning344
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"
usage0.0093885
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788368606-TGKPbCiBWt6sfR4KXtuK"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788368606-bcWwbLBJI5KTR5T77ttR"
upstream_id"3laYapePNI29sOIPjI-gmQE"
provider_responses
0
endpoint_id"d376f781-516d-42f9-936d-46f19abca6cc"
id"3laYapePNI29sOIPjI-gmQE"
is_byokfalse
latency1155
model_permaslug"google/gemini-3.8-flash-20260902"
provider_name"Google AI Studio"
status200
total_cost0.0093885
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
42.11% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags19
adverbTagCount3
adverbTags
0"Quinn said flatly [flatly]"
1"Eva said softly [softly]"
2"Eva said carefully [carefully]"
dialogueSentences34
tagDensity0.559
leniency1
rawRatio0.158
effectiveRatio0.158
83.15% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1484
totalAiIsmAdverbs5
found
0
adverb"quickly"
count1
1
adverb"carefully"
count2
2
adverb"suddenly"
count1
3
adverb"softly"
count1
highlights
0"quickly"
1"carefully"
2"suddenly"
3"softly"
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)
29.25% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1484
totalAiIsms21
found
0
word"chill"
count1
1
word"gloom"
count1
2
word"fluttered"
count2
3
word"measured"
count1
4
word"familiar"
count1
5
word"standard"
count1
6
word"intensity"
count1
7
word"traced"
count1
8
word"perfect"
count1
9
word"shattered"
count1
10
word"silence"
count1
11
word"etched"
count1
12
word"intricate"
count1
13
word"charged"
count1
14
word"weight"
count1
15
word"pulse"
count2
16
word"magnetic"
count1
17
word"tension"
count1
18
word"rhythmic"
count1
highlights
0"chill"
1"gloom"
2"fluttered"
3"measured"
4"familiar"
5"standard"
6"intensity"
7"traced"
8"perfect"
9"shattered"
10"silence"
11"etched"
12"intricate"
13"charged"
14"weight"
15"pulse"
16"magnetic"
17"tension"
18"rhythmic"
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
narrationSentences71
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences71
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences87
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen57
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1478
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions16
unquotedAttributions0
matches(empty)
57.14% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions46
wordCount1023
uniqueNames12
maxNameDensity1.86
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Camden3
Quinn19
Victorian1
Kowalski1
Eva14
Rotherhithe1
Morris2
Northern1
North1
South1
East1
West1
persons
0"Camden"
1"Quinn"
2"Kowalski"
3"Eva"
4"Morris"
places
0"Rotherhithe"
globalScore0.571
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences59
glossingSentenceCount1
matches
0"felt like a rain-slicked dock in Rother"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1478
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences87
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs38
mean38.89
std25.75
cv0.662
sampleLengths
081
131
239
311
499
533
649
769
854
910
1030
1158
126
1326
146
1510
1657
1765
1831
1941
2039
2130
2250
2310
2494
2526
2616
2726
2864
2915
3083
3113
3228
332
3462
3537
3665
3712
75.61% Passive voice overuse
Target: ≤2% passive sentences
passiveCount6
totalSentences71
matches
0"been walled"
1"been packed"
2"was dressed"
3"was gone"
4"was corroded"
5"been etched"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs172
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount1
flaggedSentences6
totalSentences87
ratio0.069
matches
0"She looked young—far too young to be called out to an active homicide scene—her round glasses sliding down the bridge of her freckled nose as she squinted over an evidence tray."
1"Stall stanchions lined the platform edge—empty now, stripped bare, but hook-scarred and soot-stained, as if a bustling market had been packed up and evacuated within minutes."
2"He was dressed in high-end civilian clothes—a bespoke charcoal overcoat, handmade brogues—but he had been thoroughly rifled through."
3"Within that two-yard perimeter, not a single speck of dust or grease remained; the wooden sleepers looked bleached, bone-dry, as if all moisture had been violently sucked from the grain."
4"There were no cardinal points—no North, South, East, or West."
5"The brass in her hand felt cold, but beneath the metal, a distinct, rhythmic pulse tapped against the glass—like a second watch, keeping time for an entirely different world."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1009
adjectiveStacks1
stackExamples
0"enough calfskin-bound folios"
adverbCount29
adverbRatio0.028741328047571853
lyAdverbCount19
lyAdverbRatio0.018830525272547076
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences87
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences87
mean16.99
std11.79
cv0.694
sampleLengths
015
131
229
36
418
513
615
724
811
99
1023
1120
1231
1316
1416
155
1612
1718
1831
1924
204
2141
226
234
2418
2526
2610
278
2818
294
3028
3130
326
3314
3412
356
368
372
3857
397
4021
417
4230
439
4413
459
4621
4713
487
499
82.38% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.5287356321839081
totalSentences87
uniqueOpeners46
49.02% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences68
matches
0"Instead, thin, interlocking sigils had"
ratio0.015
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences68
matches
0"She paused, rolling her shoulders"
1"She looked young—far too young"
2"Her sharp jaw was set."
3"It felt too familiar."
4"It felt like a rain-slicked"
5"She stepped onto the platform"
6"He was dressed in high-end"
7"She knelt beside the edge"
8"She clicked on her high-intensity"
9"She stood up, her brown"
10"Her fingers fluttered back to"
11"She glanced toward the dark"
12"It was heavy, far heavier"
13"Her voice had dropped, shedding"
14"Her gaze dropped to the"
15"It remained rigidly fixed, trembling"
16"She thought of Morris’s missing"
ratio0.25
48.24% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount56
totalSentences68
matches
0"The air thirty feet beneath"
1"Harlow Quinn stepped off the"
2"She paused, rolling her shoulders"
3"Quarter past two in the"
4"This spur had been walled"
5"a voice called out"
6"Quinn ducked under an archway"
7"Eva Kowalski stood beside a"
8"A worn leather satchel bulged"
9"She looked young—far too young"
10"Quinn said, keeping her stride"
11"Her sharp jaw was set."
12"Eva replied, green eyes shifting"
13"Quinn didn't care for museum"
14"It felt too familiar."
15"It felt like a rain-slicked"
16"She stepped onto the platform"
17"The architecture was wrong."
18"The tiles were white and"
19"Stall stanchions lined the platform"
ratio0.824
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences68
matches(empty)
ratio0
46.33% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences37
technicalSentenceCount5
matches
0"Yet someone had pried the heavy steel bulkhead open with a pneumatic jack, and beyond it lay a platform that should not have existed."
1"Eva Kowalski stood beside a mobile forensics table, her small frame swallowed by a heavy trench coat that hung nearly to her shins."
2"It felt like a rain-slicked dock in Rotherhithe three years ago, staring into a warehouse where Morris had drawn his service weapon and stepped into shadows tha…"
3"Stall stanchions lined the platform edge—empty now, stripped bare, but hook-scarred and soot-stained, as if a bustling market had been packed up and evacuated w…"
4"Within that two-yard perimeter, not a single speck of dust or grease remained; the wooden sleepers looked bleached, bone-dry, as if all moisture had been violen…"
98.68% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags19
uselessAdditionCount1
matches
0"Eva said, her knuckles whitening against the strap of her satchel"
61.76% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags13
fancyCount3
fancyTags
0"Quinn murmured (murmur)"
1"Quinn interrupted (interrupt)"
2"Eva whispered (whisper)"
dialogueSentences34
tagDensity0.382
leniency0.765
rawRatio0.231
effectiveRatio0.176
78.9221%