Run: 2026-09-02-01M1HK1A51R583WBH2JNQBVGS5

Run Details

Duration:
20.1s
Cost:
$0.012913
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="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <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> </codex> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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 rain came down in sheets of icy slate, turning the tarmac of Camden into a mirror for the stuttering amber of broken streetlamps. Detective Harlow Quinn did not run like a woman panicking; she ran with the measured, rhythmic violence of someone who had logged five miles before dawn every morning of her eighteen years on the force. Her combat boots struck the pavement with dry, solid impacts, chewing up the distance between her and the shadow darting fifty yards ahead. Tomás Herrera was faster than she expected for an ex-NHS paramedic carrying a heavy kit bag. He had youth on his side—twenty-nine against her forty-one—and the desperate, feral agility of a man who knew precisely what awaited him if he was cornered. Every few paces, the strap of his canvas duffel slipped down his shoulder, and he hitched it back with an irritated twitch of his arm. Under the glare of a storefront awning, Quinn caught the glint of silver at his throat: the Saint Christopher medallion swinging wildly, catching the ambient London filth. "Herrera!" Quinn’s voice snapped through the downpour, flat and hard, stripped of breathlessness. "Stop running. You’re only adding to the sheet." He didn’t look back. Instead, he vaulted an iron railing into the narrow alleyway behind an auto repair shop, his trainers splashing through an ankle-deep puddle of oily runoff. Quinn took the corner tight, her shoulder clipping the brick wall, water sluicing off the brim of her coat. Her brown eyes narrowed, tracking the blur of his olive jacket. She noted the roll of his sodden sleeve, the pale, jagged track of the knife scar across his left forearm where he pumped his arms for momentum. She had followed him across two postal codes. She had waited outside Silas’s place in Soho, watching the sickly green neon of The Raven's Nest paint the wet cobbles until Herrera slipped out a service door with that canvas bag. He was the line she had been waiting to reel in. For three years, since DS Morris had been pulled from an East End cellar with his chest cold and his blood smelling of burnt sugar and sulfur, Quinn had been chasing ghosts. The official report called Morris’s death heart failure brought on by positional asphyxiation. Quinn had looked at the pristine, untouched chambers of her partner's heart on the coroner's slab and known better. Herrera wasn't a killer, but he patched them up. He was the grease in the gears, the disgraced medic who took cash to stitch up things that didn't bleed like men. The alley ended at the sheer brick face of a Victorian railway embankment. Overhead, the commuter tracks hummed with the distant, ghost-like vibration of the last Overground train. Herrera didn’t slow down. He veered sharply toward a padlocked security gate set into an abandoned brick archway—a forgotten maintenance spur leading down into the subterranean belly of the city. Quinn reached into her coat, her thumb resting on the snap of her holster. "Police! Stand down!" Herrera threw his weight against the gate. It wasn't locked. The heavy iron chain had been wound through the bars to mimic a secure latch, but it parted with a wet rattle under his shove. He slipped into the yawning blackness beyond. Quinn reached the gate three seconds later. The transition was instantaneous: the roar of the London rain vanished, replaced by the cavernous, hollow drip of subterranean moisture and a sudden, sharp drop in temperature. She paused on the threshold, drawing her service Glock. Her breathing was steady, her pulse a disciplined thrum in her throat. She raised her left wrist to check the time; the cracked crystal of her worn leather watch caught the faint light from the street. 01:14. Her radio sat heavy on her tactical vest. She reached for the lapel mic, her thumb hovering over the push-to-talk. *Call it in. Secure the perimeter. Wait for dogs, wait for backup.* That was the training. That was the eighteen years of citations and clean departmental audits speaking. But backup meant uniform officers with flashlights stomping through, turning an illicit underworld rat-run into a circus. Backup meant Herrera disappearing into the dark, and with him, the only living link between the back rooms of Soho and whatever had stopped Morris’s heart. Quinn let the mic drop. She pulled a penlight from her pocket, clicked it on, and stepped through the gate. The air inside smelled wrong. It lacked the simple mustiness of neglected civil infrastructure. Beneath the tang of rust and damp London clay, there was something cloying and thick—rosemary, dried tallow, and the sharp, chemical bite of burning phosphor. The stairs descended steeply, the concrete steps chipped away to reveal the raw aggregate underneath. Fifty feet down, the stairs leveled off into a curved brick tunnel lined with ancient white subway tiles, their glazed faces cracked into spiderwebs. This had once been a Tube platform, part of a station sealed during the Blitz and scrubbed from the transport maps before the decade was out. Ahead, Quinn saw the faint bounce of Herrera’s silhouette against a patch of dull, amber radiance. He wasn’t running anymore. He was walking quickly, clutching his bag, stepping into a vast, open concourse where the railway tracks had long since been paved over with rough-hewn stone. Quinn flattened her spine against the tiled wall, extinguishing her penlight. She inched toward the opening, peering around the curve of the tunnel. Her breath caught, held behind her teeth by sheer force of will. It was not an abandoned station. It was an ecosystem. Stretching along the dry, vaulted bed of the Northern line spur were dozens of low-slung stalls, their canopies fashioned from heavy canvas and black velvet. Lanterns burned with blue and amber flames, casting shivering light across tables laden with things Quinn’s rational mind scrambled to catalog. Jars of cloudy fluid containing suspended, twitching shapes. Iron cages no larger than tea tins, vibrating with frantic scratching. Bundles of dried roots, silver ingots stamped with archaic symbols, and racks of hand-ground blades that shimmered with an oily, iridescent sheen. The crowd moved with a strange, predatory hush. There were figures in tailored trench coats brushing shoulders with men in grease-stained butcher's aprons. Nobody raised their voice. The transaction of illicit alchemical goods and enchanted contraband had a cadence entirely unlike the loud, swaggering trade of the street-level gangs Quinn usually hunted. Near the mouth of the tunnel stood an iron brazier. Beside it, a burly figure in a heavy wool coat watched the entrance with dead, unblinking eyes. Quinn saw Herrera stop before the man, reaching into his pocket. He produced a small, pale object—a carved token of yellowed bone, no larger than a domino—and dropped it into the watcher’s outstretched palm. The watcher nodded, stepping aside to let the medic merge into the dim sprawl of the market. Quinn’s jaw tightened. She looked at her empty hand. She had no token. She had a warrant card, a nine-millimeter pistol, and the certainty that stepping past that brazier meant entering a jurisdiction where her badge possessed no authority whatsoever. A sound drifted toward her through the warm, sulfurous draft—a man’s quiet laugh, followed by the clink of a glass vial. This was where Morris’s case had ended. Not in a hospital bed, not on the cold zinc of the morgue, but down here, in the dark beneath Camden, where the laws of the realm she served were entirely suspended. Herrera was forty paces ahead, weaving past a stall draped in dried aconite, heading toward the deeper shadows of the eastern platform. If she let him out of her sight, the crowd would swallow him whole, and this labyrinth would relocate, shifting on the whims of whatever lunar schedule whispered through the city's underbelly. Detective Harlow Quinn tucked her gun into its holster, cleared her coat from the grip, and stepped out from behind the brickwork. She kept her chin high, her gait measured, her salt-and-pepper hair gleaming with the rain of the world above. She didn't reach for her pocket. She looked the watcher dead in the eye, moving with the cold, absolute certainty of a predator that belonged in the dark, and walked straight past the fire.
created_at"2026-09-02T17:35:28.426Z" 9/2/2026, 5:35:28 PM
model"google/gemini-3.8-flash-20260902"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4006
moderation_latency(null)
generation_time20087
tokens_prompt888
tokens_completion2663
native_tokens_prompt852
native_tokens_completion3273
native_tokens_completion_images0
native_tokens_reasoning1498
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"
usage0.01291275
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788370528-Tu2YS4qsmrUVj0UgptL7"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788370528-YOZaxbQY1FMHFUy6ycN1"
upstream_id"YF6YarrqHbOL-sAPgLDPEQ"
provider_responses
0
endpoint_id"d376f781-516d-42f9-936d-46f19abca6cc"
id"YF6YarrqHbOL-sAPgLDPEQ"
is_byokfalse
latency4005
model_permaslug"google/gemini-3.8-flash-20260902"
provider_name"Google AI Studio"
status200
total_cost0.01291275
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
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences3
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
89.17% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1385
totalAiIsmAdverbs3
found
0
adverb"precisely"
count1
1
adverb"sharply"
count1
2
adverb"quickly"
count1
highlights
0"precisely"
1"sharply"
2"quickly"
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)
56.68% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1385
totalAiIsms12
found
0
word"measured"
count2
1
word"rhythmic"
count1
2
word"glint"
count1
3
word"pristine"
count1
4
word"weight"
count1
5
word"pulse"
count1
6
word"crystal"
count1
7
word"velvet"
count1
8
word"shimmered"
count1
9
word"gleaming"
count1
10
word"predator"
count1
highlights
0"measured"
1"rhythmic"
2"glint"
3"pristine"
4"weight"
5"pulse"
6"crystal"
7"velvet"
8"shimmered"
9"gleaming"
10"predator"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences88
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences88
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences90
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords12
totalWords1378
ratio0.009
matches
0"Call it in. Secure the perimeter. Wait for dogs, wait for backup."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
91.43% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions51
wordCount1366
uniqueNames20
maxNameDensity1.17
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Camden2
Harlow2
Quinn16
Herrera9
Saint1
Christopher1
London3
Silas1
Soho2
Raven1
Nest1
Morris4
East1
End1
Victorian1
Overground1
Glock1
Tube1
Blitz1
Northern1
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Saint"
4"Christopher"
5"Raven"
6"Nest"
7"Morris"
places
0"London"
1"Silas"
2"Soho"
3"East"
4"End"
globalScore0.914
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences74
glossingSentenceCount0
matches(empty)
54.86% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords1.451
wordCount1378
matches
0"Not in a hospital bed, not on the cold zinc of the morgue, but down here, in the dark beneath Camden"
1"not on the cold zinc of the morgue, but down here, in the dark beneath Camden"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences90
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs29
mean47.52
std26.93
cv0.567
sampleLengths
082
194
221
386
4115
531
658
717
842
934
1066
1112
1259
1320
1454
1550
1646
1723
1812
1910
2087
2152
2278
2340
2421
2539
2654
2741
2834
93.30% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences88
matches
0"was cornered"
1"been pulled"
2"been paved"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs214
matches
0"wasn’t running"
1"was walking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount2
flaggedSentences7
totalSentences90
ratio0.078
matches
0"Detective Harlow Quinn did not run like a woman panicking; she ran with the measured, rhythmic violence of someone who had logged five miles before dawn every morning of her eighteen years on the force."
1"He had youth on his side—twenty-nine against her forty-one—and the desperate, feral agility of a man who knew precisely what awaited him if he was cornered."
2"He veered sharply toward a padlocked security gate set into an abandoned brick archway—a forgotten maintenance spur leading down into the subterranean belly of the city."
3"She raised her left wrist to check the time; the cracked crystal of her worn leather watch caught the faint light from the street."
4"Beneath the tang of rust and damp London clay, there was something cloying and thick—rosemary, dried tallow, and the sharp, chemical bite of burning phosphor."
5"He produced a small, pale object—a carved token of yellowed bone, no larger than a domino—and dropped it into the watcher’s outstretched palm."
6"A sound drifted toward her through the warm, sulfurous draft—a man’s quiet laugh, followed by the clink of a glass vial."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1387
adjectiveStacks0
stackExamples(empty)
adverbCount19
adverbRatio0.0136986301369863
lyAdverbCount15
lyAdverbRatio0.010814708002883922
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences90
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences90
mean15.31
std8.98
cv0.586
sampleLengths
024
135
223
316
426
525
627
713
88
94
1025
1119
1211
1327
148
1532
1611
1732
1813
1919
209
2122
2213
2315
244
2526
2614
273
287
293
3025
317
327
3327
349
3512
3624
371
388
3912
403
413
426
434
4412
4517
4626
475
4815
495
61.05% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.42696629213483145
totalSentences89
uniqueOpeners38
38.31% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences87
matches
0"Instead, he vaulted an iron"
ratio0.011
72.87% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount32
totalSentences87
matches
0"Her combat boots struck the"
1"He had youth on his"
2"He didn’t look back."
3"Her brown eyes narrowed, tracking"
4"She noted the roll of"
5"She had followed him across"
6"She had waited outside Silas’s"
7"He was the line she"
8"He was the grease in"
9"He veered sharply toward a"
10"It wasn't locked."
11"He slipped into the yawning"
12"She paused on the threshold,"
13"Her breathing was steady, her"
14"She raised her left wrist"
15"Her radio sat heavy on"
16"She reached for the lapel"
17"She pulled a penlight from"
18"It lacked the simple mustiness"
19"He wasn’t running anymore."
ratio0.368
63.45% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount69
totalSentences87
matches
0"The rain came down in"
1"Detective Harlow Quinn did not"
2"Her combat boots struck the"
3"Tomás Herrera was faster than"
4"He had youth on his"
5"Every few paces, the strap"
6"Quinn’s voice snapped through the"
7"He didn’t look back."
8"Quinn took the corner tight,"
9"Her brown eyes narrowed, tracking"
10"She noted the roll of"
11"She had followed him across"
12"She had waited outside Silas’s"
13"He was the line she"
14"The official report called Morris’s"
15"Quinn had looked at the"
16"Herrera wasn't a killer, but"
17"He was the grease in"
18"The alley ended at the"
19"Herrera didn’t slow down."
ratio0.793
57.47% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences87
matches
0"If she let him out"
ratio0.011
56.65% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences58
technicalSentenceCount7
matches
0"Detective Harlow Quinn did not run like a woman panicking; she ran with the measured, rhythmic violence of someone who had logged five miles before dawn every m…"
1"He had youth on his side—twenty-nine against her forty-one—and the desperate, feral agility of a man who knew precisely what awaited him if he was cornered."
2"Instead, he vaulted an iron railing into the narrow alleyway behind an auto repair shop, his trainers splashing through an ankle-deep puddle of oily runoff."
3"Quinn took the corner tight, her shoulder clipping the brick wall, water sluicing off the brim of her coat."
4"He was walking quickly, clutching his bag, stepping into a vast, open concourse where the railway tracks had long since been paved over with rough-hewn stone."
5"Bundles of dried roots, silver ingots stamped with archaic symbols, and racks of hand-ground blades that shimmered with an oily, iridescent sheen."
6"She looked the watcher dead in the eye, moving with the cold, absolute certainty of a predator that belonged in the dark, and walked straight past the fire."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"Quinn’s voice snapped (snap)"
dialogueSentences3
tagDensity0.333
leniency0.667
rawRatio1
effectiveRatio0.667
81.1751%