Run: 2026-07-25-01KYCWT7C8CX0B1T4WY28K8JQQ

Run Details

Duration:
22.4s
Cost:
$0.027093
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 in Camden didn’t fall; it hammered, turning the slick asphalt of the high street into a dark, oil-stained mirror. Detective Harlow Quinn ran with the measured, low-impact stride of someone who had spent eighteen years on the force learning how not to destroy her knees. Her boots struck the wet pavement in a steady, lethal rhythm. Fifty yards ahead, bathed in the sickly yellow glow of a dying streetlamp, her target was moving much faster, driven by the frantic, sloppy energy of desperation. Tomás Herrera bumped against a row of overflowing wheelie bins, sending a cascade of plastic bags tumbling across the alleyway. Even through the deluge, Quinn kept her brown eyes locked on his silhouetted frame. He was twenty-nine, built light, his short dark curls flattened to his skull by the downpour. As he lunged around the corner toward the canal, his jacket flew open, revealing the glint of a Saint Christopher medallion slapping hard against his chest. Quinn rounded the corner a second later, her shoulder skimming wet brickwork. "Police! Stand down, Herrera!" Her voice was a sharp blade cutting through the drone of the rain, honed by two decades of command, but Herrera didn’t even flinch. He knew what was waiting for him if she caught him. Quinn had been trailing him for three days, ever since a tip-off linked the former NHS paramedic to a string of illicit surgical procurements in Soho. He was the patch-up man for the clique operating out of Silas' bar, fixing wounds that no proper hospital could report without bringing down a dozen federal agencies. Wounds that looked suspiciously like the claw marks Quinn had found on her partner, DS Morris, three years ago, before the brass buried the file and told her to move on. She reached into her coat, her thumb brushing the textured grip of her Glock, though she kept it holstered. Her left wrist caught the light of an oncoming delivery van—the worn leather strap of her watch soaked through, the hands ticking past midnight. Herrera cut left, slipping into the shadow of a disused railway arch near the old lock. The alley was a dead end—or it should have been. Quinn closed the distance, her breath coming in slow, disciplined exhalations. She held her flashlight in her left hand, sweeping the beam over wet concrete, shattered glass, and discarded iron piping. "End of the line, Tomás," she called out, her sharp jaw tightening. "You step out now, we talk about the unauthorized pharmaceuticals. You keep running, and I make it personal." The beam caught him at the far end of the archway. Herrera was crouching by a heavy chain-link fence that had been ruthlessly peeled back from the concrete foundation. His olive skin was flushed pale with cold and terror. As he shoved himself through the jagged gap, his jacket caught on a twisted strand of wire. The fabric tore back, exposing his left forearm—and the jagged, pale line of an old knife scar running from his wrist to his elbow. He yanked himself free with a grunt, abandoning a strip of blue nylon to the fence, and plunged down a set of steep, stone steps that vanished entirely into the earth. Quinn reached the gap three seconds later. She squeezed through the tear, ignoring the metal bite against her wool coat, and pointed her light down the stairwell. The steps led to an abandoned Tube entrance, a station closed off during the Blitz and scrubbed from the modern TfL maps. But as the beam of her torch cut through the gloom, she realized the subterranean passage wasn’t abandoned at all. The air rising from the stairwell was warm—unnaturally so. It smelled of ozone, heavy damp earth, and a thick, aromatic resin that stung the back of her throat like burnt cinnamon and copper. It was a smell she hadn't encountered since the night Morris died in that burned-out cellar in Whitechapel. Down on the landing, thirty feet below, Herrera wasn't running anymore. He was standing before a heavy iron turnstile that had been retrofitted into the ancient tiled archway. Standing beside the turnstile was a towering figure wrapped in a heavy oilskin cloak, its face obscured by the deep shadow of a hood. Quinn flattened herself against the cold, damp tiles of the stairwell, her heart hammering against her ribs with military precision. She watched as Herrera fumbled in his wet pocket, his hands shaking so violently he nearly dropped his prize. He produced a small, pale object—no larger than a cigarette lighter—and tossed it into a brass bowl held by the hooded guardian. It hit the metal with a sharp, ivory click. A bone token. The guardian tilted its head, snapped its fingers, and the iron turnstile rotated with a heavy, hydraulic hiss. Herrera didn't look back. He ducked under the bar and vanished down the long, decaying escalator shaft into the dark below. Quinn stayed pinned to the wall, her mind racing against the ticking seconds on her watch. She knew where she was. Or rather, she knew the whispers. In the darker corners of the station houses, among the older cops who drank too much and spoke in hushed tones about the things that happened after midnight, they called it the Veil Market. A hidden bazaar beneath Camden, moving with the cycle of the full moon, trading in things that breached every law of God, man, and nature. This was the edge of the world she wasn't supposed to see. The official narrative ended at the top of these stairs. If she stepped past that turnstile without a token, without backup, and without a warrant that meant anything to whatever lived down there, she was entirely off the grid. A cold drop of water hit the back of her neck, sliding down her collar. Three years she had lived with the silence. Three years of redacted reports, of Morris’s widow crying at a funeral with an empty coffin, of senior officers telling her that she was suffering from stress-induced paranoia. Herrera was her only thread. If he slipped into that market, he would vanish into the subterranean labyrinth beneath London, and the truth about Morris would die with him. Quinn took a deep, steadying breath, feeling the hard metal of her badge through her chest pocket. It felt small. Insignificant. She unbuttoned her coat, drawing her sidearm with a smooth, practiced motion, keeping it low against her thigh. She clicked off her flashlight, letting her eyes adjust to the strange, flickering amber glow seeping up from the bottom of the shaft. The hooded figure at the turnstile turned slowly toward the stairs, sensing the shift in the air. Harlow Quinn set her jaw, stepped out of the shadows, and began her descent into the deep.
created_at"2026-07-25T15:03:04.341Z" 7/25/2026, 3:03:04 PM
model"google/gemini-3.6-flash-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1351
moderation_latency(null)
generation_time22343
tokens_prompt888
tokens_completion2581
native_tokens_prompt852
native_tokens_completion3442
native_tokens_completion_images0
native_tokens_reasoning2012
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"
usage0.027093
router(null)
provider_responses
0
endpoint_id"5d6d133d-a953-4781-a835-7ee76f4e1388"
id"KNBkauidGqOc_uMPu9_jmAY"
is_byokfalse
latency1351
model_permaslug"google/gemini-3.6-flash-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-1784991784-Xj3COdRUMgocdSMqMltS"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784991784-wUJ0APpd00PQSZmD5aDx"
upstream_id"KNBkauidGqOc_uMPu9_jmAY"
total_cost0.027093
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
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences3
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
95.62% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1141
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"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)
73.71% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1141
totalAiIsms6
found
0
word"measured"
count1
1
word"glint"
count1
2
word"shattered"
count1
3
word"gloom"
count1
4
word"racing"
count1
5
word"silence"
count1
highlights
0"measured"
1"glint"
2"shattered"
3"gloom"
4"racing"
5"silence"
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
narrationSentences65
matches(empty)
98.90% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences65
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences67
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1135
ratio0
matches(empty)
62.50% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions1
matches
0"In the darker corners of the station houses, among the older cops who drank too much and spoke in hushed tones about the…"
99.59% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions40
wordCount1091
uniqueNames18
maxNameDensity1.01
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Camden2
Harlow2
Quinn11
Herrera8
Saint1
Christopher1
Soho1
Wounds1
Morris4
Glock1
Tube1
Blitz1
TfL1
Whitechapel1
Veil1
Market1
God1
London1
persons
0"Camden"
1"Harlow"
2"Quinn"
3"Herrera"
4"Saint"
5"Christopher"
6"Morris"
places
0"Soho"
1"Whitechapel"
2"London"
globalScore0.996
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences59
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1135
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences67
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs25
mean45.4
std28.18
cv0.621
sampleLengths
021
164
276
316
4120
543
657
730
8111
927
1042
1151
1252
1361
1412
1539
1616
1770
1851
1915
2065
2121
2241
2317
2417
94.47% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences65
matches
0"was flushed"
1"been retrofitted"
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount6
totalVerbs170
matches
0"was moving"
1"was waiting"
2"was crouching"
3"wasn't running"
4"was standing"
5"was suffering"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount1
flaggedSentences6
totalSentences67
ratio0.09
matches
0"The rain in Camden didn’t fall; it hammered, turning the slick asphalt of the high street into a dark, oil-stained mirror."
1"Her left wrist caught the light of an oncoming delivery van—the worn leather strap of her watch soaked through, the hands ticking past midnight."
2"The alley was a dead end—or it should have been."
3"The fabric tore back, exposing his left forearm—and the jagged, pale line of an old knife scar running from his wrist to his elbow."
4"The air rising from the stairwell was warm—unnaturally so."
5"He produced a small, pale object—no larger than a cigarette lighter—and tossed it into a brass bowl held by the hooded guardian."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount269
adjectiveStacks0
stackExamples(empty)
adverbCount4
adverbRatio0.01486988847583643
lyAdverbCount1
lyAdverbRatio0.0037174721189591076
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences67
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences67
mean16.94
std7.77
cv0.459
sampleLengths
021
126
211
327
420
514
616
726
812
94
1024
1111
1226
1328
1431
1519
1624
1716
1810
1911
2020
2112
2218
2311
2418
2510
2617
2724
2831
297
3020
3122
3220
339
3424
3518
3611
3717
3824
3920
4019
4122
429
433
4418
454
4617
4716
485
496
65.17% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.417910447761194
totalSentences67
uniqueOpeners28
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences64
matches(empty)
ratio0
76.25% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences64
matches
0"Her boots struck the wet"
1"He was twenty-nine, built light,"
2"Her voice was a sharp"
3"He knew what was waiting"
4"He was the patch-up man"
5"She reached into her coat,"
6"Her left wrist caught the"
7"She held her flashlight in"
8"she called out, her sharp"
9"His olive skin was flushed"
10"He yanked himself free with"
11"She squeezed through the tear,"
12"It smelled of ozone, heavy"
13"It was a smell she"
14"He was standing before a"
15"She watched as Herrera fumbled"
16"He produced a small, pale"
17"It hit the metal with"
18"He ducked under the bar"
19"She knew where she was."
ratio0.359
61.56% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount51
totalSentences64
matches
0"The rain in Camden didn’t"
1"Detective Harlow Quinn ran with"
2"Her boots struck the wet"
3"Tomás Herrera bumped against a"
4"He was twenty-nine, built light,"
5"Quinn rounded the corner a"
6"Her voice was a sharp"
7"He knew what was waiting"
8"Quinn had been trailing him"
9"He was the patch-up man"
10"Wounds that looked suspiciously like"
11"She reached into her coat,"
12"Her left wrist caught the"
13"Herrera cut left, slipping into"
14"The alley was a dead"
15"Quinn closed the distance, her"
16"She held her flashlight in"
17"she called out, her sharp"
18"The beam caught him at"
19"Herrera was crouching by a"
ratio0.797
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences64
matches
0"Even through the deluge, Quinn"
1"If she stepped past that"
2"If he slipped into that"
ratio0.047
35.04% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences53
technicalSentenceCount8
matches
0"Detective Harlow Quinn ran with the measured, low-impact stride of someone who had spent eighteen years on the force learning how not to destroy her knees."
1"Herrera was crouching by a heavy chain-link fence that had been ruthlessly peeled back from the concrete foundation."
2"It smelled of ozone, heavy damp earth, and a thick, aromatic resin that stung the back of her throat like burnt cinnamon and copper."
3"He was standing before a heavy iron turnstile that had been retrofitted into the ancient tiled archway."
4"Quinn stayed pinned to the wall, her mind racing against the ticking seconds on her watch."
5"A hidden bazaar beneath Camden, moving with the cycle of the full moon, trading in things that breached every law of God, man, and nature."
6"She unbuttoned her coat, drawing her sidearm with a smooth, practiced motion, keeping it low against her thigh."
7"She clicked off her flashlight, letting her eyes adjust to the strange, flickering amber glow seeping up from the bottom of the shaft."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount1
matches
0"she called out, her sharp jaw tightening"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"she called out (call out)"
dialogueSentences3
tagDensity0.333
leniency0.667
rawRatio1
effectiveRatio0.667
75.4269%