Run: 2026-07-25-01KYCVG53SF1RCS9ZZG9ZTKH3S

Run Details

Duration:
27.1s
Cost:
$0.029313
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
Rain fell in cold, heavy sheets across Camden High Street, turning the asphalt into a black mirror that smeared the red tail lights of idling buses into bloody ribbons. Harlow Quinn kept her eyes fixed on the dark jacket fifty yards ahead. She ran with a rhythmic, military economy of motion, her boots striking the flooded gutters without losing balance. At forty-one, her joints registered the damp chill with a dull ache, but eighteen years with the Metropolitan Police had taught her how to compartmentalize physical discomfort. She pulled a deep breath through her nose, tasting wet soot and diesel exhaust, and pushed harder off the pavement. ahead, the suspect darted around a delivery van, his short, curly dark hair flattened against his skull by the downpour. Tomás Herrera. Twenty-nine years old, olive skin, five-foot-ten, moving with the agile, erratic desperation of a man who knew precisely what happened to unauthorized medics who caught the eye of the law. Or whatever passed for the law in the gray spaces he inhabited. Harlow checked her left wrist with a flick of her forearm. The worn leather strap of her watch was soaked through, the hands beneath the scratched glass pointing to twenty past eleven. She had been trailing Herrera since he slipped out of a side door near Soho, but the chase had turned hot the moment her foot snapped a dead branch in the alleyway behind the pub. "Herrera!" her voice cut through the drumming rainfall, low and barked from the back of her throat. "Metropolitan Police! Stop!" He didn't stop. He cut sharply to the left, taking a tight turn into a dead-end service lane sandwiched between two Victorian warehouses. Harlow closed the distance, her sharp jaw set, brown eyes narrowed against the sting of the storm. She rounded the corner expecting to find him cornered against a chain-link fence, but the lane was empty except for three overflowing industrial dumpsters and a rusted iron gate hanging half off its hinges. Beyond the gate lay the mouth of a long-abandoned Northern Line Tube station, long since struck from the TfL maps. Harlow slowed her pace, her hand drifting down to the heavy flashlight at her belt. Rain dripped from her closely cropped salt-and-pepper hair, running down the back of her neck in icy trickles. She stepped through the gate, her boots crunching on shattered glass and wet gravel. At the top of the concrete stairs leading down into the dark, a figure paused. The amber glow of a distant streetlamp caught Herrera in profile. He was gasping for air, his dark eyes wide and glossy with panic. As he turned to look back up the stairwell, his hand rose instinctively to touch a silver Saint Christopher medallion bouncing against his collarbone. The movement pulled his left sleeve up a few inches, revealing the thick, pale line of a knife scar running along his forearm. "Don't do it, Tomás," Harlow said, her voice dropping into the quiet, controlled register she used when de-escalating jumpers or cornered muggers. She took two slow, measured steps toward the mouth of the stairs. "There's nowhere down there but damp and dead tracks. Walk back up. We talk." Herrera looked at her, his expression a chaotic mix of fear and strange, desperate pity. "You don't know what's down here, Detective," he said. His voice was breathless, tinged with the faint, warm cadence of his native Seville. "If you follow me down, you don't get to go back to your precinct with a neat little file." "I'm not asking for a file," Harlow said. "I'm asking for answers." Herrera didn't reply. He reached into his coat pocket and pulled out a small, pale object no larger than a pocket watch—a smooth piece of carved white bone. He thrust it downward, toward the black mouth of the station. From the dark at the bottom of the stairs, a heavy, mechanical groan echoed up the shaft. It wasn't the sound of an approaching train; it was the slow, wet grind of stone slipping over stone, accompanied by a sudden puff of displaced air. The air that rushed up the stairwell didn't smell like old iron or damp concrete. It smelled of scorched cedar, hot copper, ozone, and something sickeningly sweet, like night-blooming jasmine rotting in a closed room. Herrera didn't hesitate. He plunged down into the darkness, his footsteps echoing rapidly until they were swallowed by the subterranean hum. Harlow halted at the threshold. Her hand tightened on the grip of her flashlight. Every manual, every protocol, every instinct drilled into her through nearly two decades of decorated service screamed at her to fall back. You don't push into an unlit, subterranean structure without back-up. You call for a perimeter, you set up a command post, you wait for tactical. But three years ago, Detective Sergeant Morris had walked into a dark alley in Whitechapel following a routine disturbance call. When Harlow found him two hours later, his heart had stopped, his blood was cold, and his face was frozen in a look of profound, uncomprehending horror. The official coroner's report had listed it as an undiagnosed cardiac event. Harlow had known better the moment she smelled the faint, unnatural odor of scorched zinc lingering on his wool coat. She looked down into the black maw of the abandoned station. The rain slammed down on her back, hammering a relentless rhythm against the asphalt behind her, urging her toward the mundane safety of the lit streets. She checked her leather watch one more time. Eleven-twenty-two. Harlow thumbed the switch on her heavy flashlight. A beam of stark white light sliced through the darkness, revealing water-stained white tiles, rotting peeling posters from forty years ago, and stairs that descended far deeper than any standard subway platform had a right to go. She stepped over the threshold and began her descent into the Veil Market. The temperature plummeted with every stair she cleared, but the dampness changed from the clean chill of London rain to a thick, greasy humidity that coated her skin. The beam of her torch bounced off the curved walls of the tunnel as the concrete gave way to rough-hewn stone and ancient brickwork that predated the Victorian transit system by centuries. She kept her breath even, five seconds in, five seconds out, her boots hitting the stone in a silent, predatory rhythm. The tunnel curved sharply to the right. Harlow rounded the bend and stopped. The tunnel didn't end at a train platform. It opened onto an iron gantry suspended forty feet above a vast, echoing cavern beneath Camden. Below her, sprawling through the cavernous gloom of forgotten sewer trunks and subterranean vaults, lay a labyrinth of makeshift stalls, iron cages, and silk-canopied tents illuminated by flickering globes of pale green fire. Hundreds of figures moved through the haze below, their shadows stretching unnaturally against the damp stone walls. The air was thick with a deafening hum of low, polyphonic voices, the clinking of glass vials, and the distinct, iron tang of blood. Harlow crouched low behind the rusted handrail of the gantry, pulling her coat tight around herself. Her heart hammered a fierce, steady rhythm against her ribs. Far down on the main thoroughfare of the underground market, she caught a glimpse of a dark jacket and a flash of dark curls slipping beneath a canopy draped in black velvet. Harlow Quinn gripped the iron rail, let out a long, slow breath, and stepped off the gantry onto the spiral stairs leading down into the dark.
created_at"2026-07-25T14:40:05.763Z" 7/25/2026, 2:40:05 PM
model"google/gemini-3.6-flash-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1500
moderation_latency(null)
generation_time27041
tokens_prompt888
tokens_completion2818
native_tokens_prompt852
native_tokens_completion3738
native_tokens_completion_images0
native_tokens_reasoning2124
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"
usage0.029313
router(null)
provider_responses
0
endpoint_id"5d6d133d-a953-4781-a835-7ee76f4e1388"
id"xcpkatbeMszC-8YP7_T4mAE"
is_byokfalse
latency1500
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-1784990405-1e5THy2ncJThM5LWxHR1"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784990405-52ySJUQZ04apvLc9Qprs"
upstream_id"xcpkatbeMszC-8YP7_T4mAE"
total_cost0.029313
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
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences8
tagDensity0.375
leniency0.75
rawRatio0
effectiveRatio0
88.11% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1262
totalAiIsmAdverbs3
found
0
adverb"precisely"
count1
1
adverb"sharply"
count2
highlights
0"precisely"
1"sharply"
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)
20.76% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1262
totalAiIsms20
found
0
word"rhythmic"
count1
1
word"chill"
count2
2
word"shattered"
count1
3
word"measured"
count1
4
word"chaotic"
count1
5
word"tinged"
count1
6
word"mechanical"
count1
7
word"echoed"
count1
8
word"footsteps"
count1
9
word"echoing"
count2
10
word"structure"
count1
11
word"profound"
count1
12
word"maw"
count1
13
word"stark"
count1
14
word"standard"
count1
15
word"gloom"
count1
16
word"silk"
count1
17
word"velvet"
count1
highlights
0"rhythmic"
1"chill"
2"shattered"
3"measured"
4"chaotic"
5"tinged"
6"mechanical"
7"echoed"
8"footsteps"
9"echoing"
10"structure"
11"profound"
12"maw"
13"stark"
14"standard"
15"gloom"
16"silk"
17"velvet"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
1
label"air was thick with"
count1
highlights
0"eyes narrowed"
1"The air was thick with"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences71
matches
0"y with panic"
62.37% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount1
narrationSentences71
filterMatches
0"watch"
hedgeMatches
0"happened to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences75
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen38
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1261
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
95.97% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions44
wordCount1203
uniqueNames24
maxNameDensity1.08
worstName"Harlow"
maxWindowNameDensity2
worstWindowName"Harlow"
discoveredNames
Camden2
High1
Street1
Quinn2
Metropolitan1
Police1
Herrera6
Soho1
Victorian2
Northern1
Line1
Tube1
TfL1
Saint1
Christopher1
Seville1
Detective1
Sergeant1
Morris1
Whitechapel1
Harlow13
Veil1
Market1
London1
persons
0"Quinn"
1"Police"
2"Herrera"
3"Victorian"
4"Saint"
5"Christopher"
6"Sergeant"
7"Morris"
8"Harlow"
places
0"Camden"
1"High"
2"Street"
3"Soho"
4"Seville"
5"Veil"
6"London"
globalScore0.96
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences63
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1261
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences75
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs33
mean38.21
std19.56
cv0.512
sampleLengths
042
165
264
367
420
523
651
720
847
915
1071
1148
1257
1312
1439
1544
1635
1721
1814
1947
2079
2137
229
2345
2413
2560
2628
276
2857
2941
3026
3132
3226
95.38% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences71
matches
0"were swallowed"
1"was frozen"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs168
matches
0"was gasping"
66.67% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount1
flaggedSentences2
totalSentences75
ratio0.027
matches
0"He reached into his coat pocket and pulled out a small, pale object no larger than a pocket watch—a smooth piece of carved white bone."
1"It wasn't the sound of an approaching train; it was the slow, wet grind of stone slipping over stone, accompanied by a sudden puff of displaced air."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1220
adjectiveStacks1
stackExamples
0"short, curly dark hair"
adverbCount14
adverbRatio0.011475409836065573
lyAdverbCount11
lyAdverbRatio0.009016393442622951
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences75
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences75
mean16.81
std8.66
cv0.515
sampleLengths
029
113
218
327
420
520
62
730
812
911
1021
1135
1217
133
143
1520
1617
1734
1820
1915
2018
2114
2215
2311
2413
2524
2623
2722
2812
2914
3015
319
3214
3319
348
354
363
3725
3811
3917
4027
4115
4220
433
4418
455
469
4722
4810
4915
62.22% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.41333333333333333
totalSentences75
uniqueOpeners31
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences67
matches(empty)
ratio0
70.75% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences67
matches
0"She ran with a rhythmic,"
1"She pulled a deep breath"
2"She had been trailing Herrera"
3"her voice cut through the"
4"He didn't stop."
5"He cut sharply to the"
6"She rounded the corner expecting"
7"She stepped through the gate,"
8"He was gasping for air,"
9"She took two slow, measured"
10"His voice was breathless, tinged"
11"He reached into his coat"
12"He thrust it downward, toward"
13"It wasn't the sound of"
14"It smelled of scorched cedar,"
15"He plunged down into the"
16"Her hand tightened on the"
17"You don't push into an"
18"You call for a perimeter,"
19"She looked down into the"
ratio0.373
49.55% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount55
totalSentences67
matches
0"Rain fell in cold, heavy"
1"Harlow Quinn kept her eyes"
2"She ran with a rhythmic,"
3"She pulled a deep breath"
4"Harlow checked her left wrist"
5"The worn leather strap of"
6"She had been trailing Herrera"
7"her voice cut through the"
8"He didn't stop."
9"He cut sharply to the"
10"Harlow closed the distance, her"
11"She rounded the corner expecting"
12"Harlow slowed her pace, her"
13"Rain dripped from her closely"
14"She stepped through the gate,"
15"The amber glow of a"
16"He was gasping for air,"
17"The movement pulled his left"
18"Harlow said, her voice dropping"
19"She took two slow, measured"
ratio0.821
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences67
matches(empty)
ratio0
64.94% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences55
technicalSentenceCount6
matches
0"Rain fell in cold, heavy sheets across Camden High Street, turning the asphalt into a black mirror that smeared the red tail lights of idling buses into bloody …"
1"She ran with a rhythmic, military economy of motion, her boots striking the flooded gutters without losing balance."
2"Twenty-nine years old, olive skin, five-foot-ten, moving with the agile, erratic desperation of a man who knew precisely what happened to unauthorized medics wh…"
3"The rain slammed down on her back, hammering a relentless rhythm against the asphalt behind her, urging her toward the mundane safety of the lit streets."
4"A beam of stark white light sliced through the darkness, revealing water-stained white tiles, rotting peeling posters from forty years ago, and stairs that desc…"
5"The temperature plummeted with every stair she cleared, but the dampness changed from the clean chill of London rain to a thick, greasy humidity that coated her…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences8
tagDensity0.375
leniency0.75
rawRatio0
effectiveRatio0
82.3573%