Run: 2026-10-13-01M4V1X0QYS9YDJ3N7BK4XYZMP

Run Details

Duration:
36.1s
Cost:
$0.021258
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 so much as it assaulted the pavement, turning the neon glare of kebab shops and tattoo parlors into smeared, bleeding streaks of color. Detective Harlow Quinn kept her chin tucked against her collar, her closely cropped salt-and-pepper hair plastered to her skull. Water sluiced down the sharp line of her jaw. Fifty yards ahead, the heavy canvas duffel bag bounced against Tomás Herrera’s hip as he cut sharply across the slick cobblestones of the market lock. Quinn lengthened her stride. At forty-one, after eighteen years of pounding London’s worst pavement for the Met, her knees ached when the barometer dropped, but she moved with the same military precision she’d drilled into her bones as a rookie. She didn't waste energy shouting for him to stop. Herrera knew she was there. He’d spotted her unmarked Astra outside The Raven’s Nest in Soho an hour ago, right beneath the bar's distinctive green neon sign, and he’d been trying to shake her through the Northern Line ever since. Herrera vaulted a chain-link barrier blocking a flooded canal towpath. He was twenty-nine, agile, his five-foot-ten frame built for endurance from his years hauling trauma kits up council flat stairs for the NHS. Quinn hit the barrier three seconds later. She planted one hand on the wet iron post, swung her legs over with economical grace, and landed hard on the balls of her feet. Her left cuff pulled back, exposing the worn leather watch on her wrist. 23:42. If Herrera was meeting the rest of the clique—the same tight-lipped crew that kept turning up at the edges of her most baffling, gruesome crime scenes—it was happening before midnight. Herrera glanced back. Beneath a flickering sodium streetlamp, she caught the wet sheen of his short, curly dark brown hair and the panic widening his warm brown eyes. He wasn't a hardened killer; his file read like a tragedy of good intentions. Born in Seville, stellar record as a paramedic until the board stripped his license for administering unauthorized, unrecorded treatments to patients who subsequently vanished from hospital wards. He ducked into a narrow pedestrian tunnel that smelled of stale lager and damp brick, angling away from the main high street toward the dead zones of the borough. Quinn drew her extendable baton from her belt, keeping it collapsed against her thigh, and poured on a burst of speed. Her boots splashed through ankle-deep puddles. The tunnel opened onto a neglected side street wedged between a Victorian railway viaduct and the rusted corrugated iron of an old brewery. And at the end of the alley stood the tiled oxblood facade of an abandoned Tube station, its folding iron gates padlocked and boarded over with rotting plywood. Herrera didn't slow down. He sprinted straight toward the boarded-up entrance. "Herrera!" Quinn barked, her voice cutting through the roar of the downpour. "Met Police! Stop where you are!" He didn't stop. He reached the plywood hoarding, shoved his shoulder against a loose panel marked with faded municipal warning stencils, and slipped through the gap like water down a drain. Quinn reached the gap four seconds behind him. She paused for half a heartbeat, listening. Standard procedure screamed at her to call it in, to get uniforms on the perimeter and wait for a tactical unit. Going into an unmapped subterranean structure alone at night was how officers ended up as brass plaques at Hendon. It was how DS Morris had died three years ago. A routine pursuit into an East End warehouse, a radio burst of static and something that sounded like tearing metal, and then Quinn kicking through a door to find her partner on the concrete, his chest cavity crushed from the inside out and frost riming the walls in the middle of July. The brass had buried the pathology report. Quinn had buried her career advancement by refusing to let it go. She didn't reach for her Airwave radio. If she called backup, whatever Herrera was running to would scatter into the dark before the first siren wailed on Camden High Street. Quinn turned sideways and slid through the gap in the plywood. The smell hit her first. Not the expected stench of rat droppings, wet concrete, and stagnant water that haunted London’s disused underground, but something thick and heavy: ozone, charred sage, copper, and the sweet, cloying rot of lilies. She stood in the old ticket hall. The wooden booths were splintered husks, the posters on the walls reduced to gray moldering confetti. Ahead of her, the dead escalators plunged down into the earth like the spine of some fossilized leviathan. At the bottom, instead of pitch blackness, a faint amber glow flickered against the tiled curve of the lower archway. Herrera’s footsteps echoed rapidly down the metal stairs. *Clack-clack-clack.* Quinn moved to the lip of the escalator shaft, keeping her back pressed to the cold, soot-stained tile. She peered down. At the base of the stairs, the tunnel was blocked by a heavy iron turnstile that looked neither standard issue nor entirely modern. Standing beside it was a mountain of a man in a boiled leather coat that reached his ankles. Even from thirty feet up, something about the guard’s proportions made Quinn’s brown eyes narrow; his shoulders were too wide, his neck entirely absent, his skin the gray, pebbled texture of river stone. Herrera skidded to a halt in front of the turnstile, chest heaving. He adjusted the medical duffel on his shoulder and reached inside his soaked jacket with his left hand. As his wet sleeve rode up his olive skin, the amber torchlight caught the pale, jagged line of an old knife scar running along his forearm. He fumbled at his throat, where a silver Saint Christopher medallion glinted on a thin chain, before pulling a small, pale object from an inner pocket. He pressed it into the guard’s massive palm. Quinn squinted. It wasn't cash, and it wasn't an Oyster card. It looked like a carved disk of yellowed ivory or bone, roughly the size of a half-crown, etched with a dark spiral. The guard closed his fist over the bone token, gave a slow, grinding nod, and hauled a rusted lever beside the gate. The turnstile clicked once, rotating with a strangely oiled silence. Herrera pushed through, casting one frantic, haunted look back up the escalator shaft before disappearing around the bend of the platform tunnel. As the turnstile clicked shut, the sound from beyond the archway seemed to swell—a low, thrumming murmur of hundreds of voices, the clinking of glass, the hiss of steam, all previously muffled by some invisible acoustic barrier that had briefly parted when the gate opened. Quinn stayed frozen in the shadows at the top of the stairs. Her heart hammered a steady, disciplined rhythm against her ribs. *What the hell is down there?* She knew every criminal enterprise in North London. She knew the Albanian gun runners in Finsbury Park, the county lines syndicates operating out of Kentish Town, the high-end fences in Hampstead. None of them operated out of flooded Tube stations with bone tokens and bouncers who looked like they were carved out of granite. Down at the bottom of the shaft, the guard reached into a brass brazier beside him, stirred the glowing coals with his bare, gray-skinned fingers, and tossed a handful of dried herbs onto the embers. Purple smoke curled lazily toward the arched ceiling. As the smoke rose, the air at the base of the escalator shimmered, like heat haze off summer tarmac. For a terrifying second, Quinn’s eyes watered, and when she blinked, the archway behind the turnstile looked like nothing more than a collapsed wall of rubble and rusted rebar. Blink again, and the amber light bled back through the illusion. A cold sweat broke out beneath Quinn’s damp shirt, entirely separate from the chill of the rain. *Morris,* she thought. The frost on the warehouse walls. The unexplainable bruising. The way the witnesses from The Raven's Nest always looked at her—not with fear of the law, but with pity, as if she were a child bringing a wooden sword to a war. Her fingers tightened around the grip of her baton until her knuckles whitened. She had no warrant. She had no firearm. And she had no bone token to get past the thing in the leather coat. Quinn’s gaze drifted up the curved tiled wall of the escalator shaft. Halfway down, a rusted maintenance catwalk hugged the ceiling, running parallel to the stairs to service the old ventilation ducts. The grating disappeared into a dark intake shaft directly above the turnstile. She checked the worn leather watch on her wrist one more time. 23:47. A full moon was rising somewhere above the London cloud cover, and her gut told her that by morning, this place would be nothing more than empty tunnels and dead rats again. She clipped the baton back to her belt, wiped her wet palms on her trousers, and reached up to grasp the lowest rung of the maintenance ladder. With her jaw set hard, Detective Harlow Quinn pulled herself up into the dark and crawled toward the light on the other side.
created_at"2026-10-13T16:35:31.724Z" 10/13/2026, 4:35:31 PM
model"google/gemini-4-argon-20261013"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1371
moderation_latency(null)
generation_time35819
tokens_prompt888
tokens_completion2306
native_tokens_prompt884
native_tokens_completion1949
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(null)
usage0.021258
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791909331-NwNlgKCHr1IuGP3saCD4"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791909331-QhjO6foD5PHczhioDwxo"
upstream_id"013OauuYMZ-t_PUPhKzI2AE"
provider_responses
0
endpoint_id"4934736c-d662-4fe3-98eb-56def8c8c174"
id"013OauuYMZ-t_PUPhKzI2AE"
is_byokfalse
latency1371
model_permaslug"google/gemini-4-argon-20261013"
provider_name"Google AI Studio"
status200
total_cost0.021258
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)
dialogueSentences2
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
93.52% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1543
totalAiIsmAdverbs2
found
0
adverb"sharply"
count1
1
adverb"lazily"
count1
highlights
0"sharply"
1"lazily"
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)
61.11% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1543
totalAiIsms12
found
0
word"pounding"
count1
1
word"facade"
count1
2
word"standard"
count2
3
word"structure"
count1
4
word"flickered"
count1
5
word"footsteps"
count1
6
word"echoed"
count1
7
word"etched"
count1
8
word"silence"
count1
9
word"shimmered"
count1
10
word"chill"
count1
highlights
0"pounding"
1"facade"
2"standard"
3"structure"
4"flickered"
5"footsteps"
6"echoed"
7"etched"
8"silence"
9"shimmered"
10"chill"
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
emotionTells2
narrationSentences94
matches
0"t with fear"
1"t with pity"
97.26% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences94
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences95
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen52
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans3
markdownWords8
totalWords1539
ratio0.005
matches
0"Clack-clack-clack."
1"What the hell is down there?"
2"Morris,"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
94.52% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions70
wordCount1532
uniqueNames35
maxNameDensity1.11
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Camden2
Harlow2
Quinn17
Tomás1
Herrera10
London4
Met1
Astra1
Raven2
Nest2
Soho1
Northern1
Line1
Seville1
Victorian1
Tube2
Hendon1
Morris2
East1
End1
July1
Airwave1
High1
Street1
Saint1
Christopher1
Oyster1
North1
Albanian1
Finsbury1
Park1
Kentish1
Town1
Hampstead1
Detective2
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Nest"
5"Morris"
6"Saint"
7"Christopher"
places
0"Camden"
1"London"
2"Raven"
3"Soho"
4"Northern"
5"Seville"
6"Hendon"
7"East"
8"End"
9"High"
10"Street"
11"North"
12"Finsbury"
13"Park"
14"Kentish"
15"Town"
16"Hampstead"
globalScore0.945
windowScore1
23.42% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences79
glossingSentenceCount4
matches
0"sounded like tearing metal, and then Quinn"
1"looked like a carved disk of yellowed ivo"
2"looked like they were carved out of grani"
3"looked like nothing more than a collapsed"
70.05% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords1.3
wordCount1539
matches
0"neither standard issue nor"
1"not with fear of the law, but with pity, as if she were a child bringing a wooden sword to"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences95
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs34
mean45.26
std26.26
cv0.58
sampleLengths
082
189
233
376
469
529
678
711
818
931
1055
1181
1230
1311
1438
1561
169
1721
1874
1982
208
2133
2254
2345
2422
256
2654
27102
2817
2945
3036
3144
3245
3350
94.06% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences94
matches
0"were splintered"
1"was blocked"
2"were carved"
84.06% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs230
matches
0"was meeting"
1"was happening"
2"was running"
3"was rising"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount2
flaggedSentences5
totalSentences95
ratio0.053
matches
0"If Herrera was meeting the rest of the clique—the same tight-lipped crew that kept turning up at the edges of her most baffling, gruesome crime scenes—it was happening before midnight."
1"He wasn't a hardened killer; his file read like a tragedy of good intentions."
2"Even from thirty feet up, something about the guard’s proportions made Quinn’s brown eyes narrow; his shoulders were too wide, his neck entirely absent, his skin the gray, pebbled texture of river stone."
3"As the turnstile clicked shut, the sound from beyond the archway seemed to swell—a low, thrumming murmur of hundreds of voices, the clinking of glass, the hiss of steam, all previously muffled by some invisible acoustic barrier that had briefly parted when the gate opened."
4"The way the witnesses from The Raven's Nest always looked at her—not with fear of the law, but with pity, as if she were a child bringing a wooden sword to a war."
82.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1550
adjectiveStacks3
stackExamples
0"same tight-lipped crew"
1"cold, soot-stained tile."
2"bare, gray-skinned fingers,"
adverbCount42
adverbRatio0.027096774193548386
lyAdverbCount15
lyAdverbRatio0.00967741935483871
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences95
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences95
mean16.2
std10.69
cv0.66
sampleLengths
029
119
29
325
44
536
69
75
835
910
1023
117
1225
1313
141
1530
163
1725
1814
1927
2029
2121
226
2323
2428
254
267
2712
286
293
3028
318
327
3321
3419
3510
3652
377
3812
397
4023
4111
425
4333
447
4516
4618
4720
488
491
52.33% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.3655913978494624
totalSentences93
uniqueOpeners34
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences90
matches(empty)
ratio0
91.11% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences90
matches
0"She didn't waste energy shouting"
1"He’d spotted her unmarked Astra"
2"He was twenty-nine, agile, his"
3"She planted one hand on"
4"Her left cuff pulled back,"
5"He wasn't a hardened killer;"
6"He ducked into a narrow"
7"Her boots splashed through ankle-deep"
8"He sprinted straight toward the"
9"He didn't stop."
10"He reached the plywood hoarding,"
11"She paused for half a"
12"It was how DS Morris"
13"She didn't reach for her"
14"She stood in the old"
15"She peered down."
16"He adjusted the medical duffel"
17"He fumbled at his throat,"
18"He pressed it into the"
19"It wasn't cash, and it"
ratio0.322
98.89% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount65
totalSentences90
matches
0"The rain in Camden didn't"
1"Detective Harlow Quinn kept her"
2"Water sluiced down the sharp"
3"Quinn lengthened her stride."
4"She didn't waste energy shouting"
5"Herrera knew she was there."
6"He’d spotted her unmarked Astra"
7"Herrera vaulted a chain-link barrier"
8"He was twenty-nine, agile, his"
9"Quinn hit the barrier three"
10"She planted one hand on"
11"Her left cuff pulled back,"
12"Herrera glanced back."
13"He wasn't a hardened killer;"
14"He ducked into a narrow"
15"Quinn drew her extendable baton"
16"Her boots splashed through ankle-deep"
17"The tunnel opened onto a"
18"Herrera didn't slow down."
19"He sprinted straight toward the"
ratio0.722
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences90
matches
0"If Herrera was meeting the"
1"If she called backup, whatever"
2"Even from thirty feet up,"
ratio0.033
84.31% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences61
technicalSentenceCount5
matches
0"If Herrera was meeting the rest of the clique—the same tight-lipped crew that kept turning up at the edges of her most baffling, gruesome crime scenes—it was ha…"
1"He ducked into a narrow pedestrian tunnel that smelled of stale lager and damp brick, angling away from the main high street toward the dead zones of the boroug…"
2"Not the expected stench of rat droppings, wet concrete, and stagnant water that haunted London’s disused underground, but something thick and heavy: ozone, char…"
3"At the base of the stairs, the tunnel was blocked by a heavy iron turnstile that looked neither standard issue nor entirely modern."
4"As the turnstile clicked shut, the sound from beyond the archway seemed to swell—a low, thrumming murmur of hundreds of voices, the clinking of glass, the hiss …"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount1
matches
0"Quinn barked, her voice cutting through the roar of the downpour"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"Quinn barked (bark)"
dialogueSentences2
tagDensity0.5
leniency1
rawRatio1
effectiveRatio1
77.5547%