Run: 2026-09-03-01M1KS2F3RYVXQD5FW6PN8EZ37

Run Details

Duration:
16.8s
Cost:
$0.011889
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 over north London was relentless, turning the pavement along the canal into a black mirror fractured by the amber sweep of streetlights. Harlow Quinn kept her pace measured, a low, ground-eating stride honed by eighteen years on the force and an uncompromising refusal to let her lungs burn before her legs gave out. Her closely cropped salt-and-pepper hair was soaked through, plastered flat against her skull, and cold water dripped from the line of her sharp jaw, but she never took her eyes off the silhouette seventy yards ahead. Tomás Herrera was running scared. He was fast, younger by over a decade, but he lacked discipline. He sprinted in erratic bursts, skidding on the slick cobblestones where the alley narrowed behind Camden Lock, his heavy canvas coat flapping like broken wings. Every few strides, his hand rose instinctively to his chest, clutching at the silver Saint Christopher medallion bouncing against his throat. Quinn had picked up his tail two miles south, near the rain-drenched glow of the green neon sign above the Raven’s Nest in Soho. She had waited outside that dive for three nights running, nursing bitter black coffee in an unmarked Astra, waiting for Herrera to surface. The intelligence was thin—whispers through vice channels about an unlicensed street medic patching up bodies that shouldn't have been breathing, let alone bleeding—but thin was all she had. It was all she had possessed since the night three years ago when Detective Sergeant Morris had bled out on a cold warehouse floor with wounds the coroner had refused to sign off on and the brass had quietly buried. Herrera cut hard to the left, darting through a gap in a chain-link fence bordering a derelict rail yard. Quinn closed the distance with mechanical efficiency. She vaulted the low brick footing, landed clean in the mud, and drew her service weapon in one fluid, practiced motion, keeping it low and tucked close against her rib cage. "Herrera! Police! Stop!" Her voice had the flat, unyielding crack of iron, but the young man didn't even turn. He threw his weight against a rusted sheet of corrugated iron masking an old brick archway. The metal shrieked as it gave way, peeling back just enough for his slender frame to slip through. In the brief illumination of a passing lorry's high beams, Quinn caught the glint of warm brown eyes wide with panic, and the jagged white line of the old knife scar stark against the olive skin of his exposed left forearm as he shoved the barrier shut behind him. Quinn reached the archway three seconds later. She pressed her back to the brickwork, her left hand coming up to wipe rain from her eyelashes, fingers brushing the worn leather strap of the watch she had worn since her first year as a constable. It read 11:42 PM. She kicked the corrugated sheet inward. It groaned and collapsed into the dark. Beyond lay not an alley, but a yawning mouth of crumbling Victorian masonry that plunged downward into the earth. The air that drafted up against Quinn's face was not the dead, stagnant reek of London sewers. It was charged, heavy with ozone, burning tallow, and the sharp, coppery tang of crushed iron and dried sage. It smelled like the cold, inexplicable frost that had coated the walls around Morris’s body. Her thumb rested on the safety of her Glock. Protocol demanded she call for backup, set a perimeter, and wait for dogs and uniform units. But if she radioed in a pursuit into an unregistered subterranean shaft beneath Camden, the same faceless inspectors who had shredded Morris’s incident reports would arrive within the hour to pull her off the board. She stepped through the threshold, descending into the dark. The stairs were steep, cut from granite that had long since worn smooth in the center. Decades-old tilework, cracked and veined with black mold, lined the walls, interspersed with the shredded remains of Tube posters from before the Blitz. Herrera’s boots echoed below her, a frantic, uneven rhythm echoing off the curved ceiling. Quinn kept her footfalls silent, moving on the balls of her feet, using the wall for reference. The deeper she went, the warmer the air became, thick and feverish, until the scent of the city above was entirely erased. A low, resonant hum began to vibrate through the soles of her boots—not the rumble of the Northern Line, but a sound like hundreds of voices murmuring at once, accompanied by the clatter of iron and the chime of glass. The stairs ended at a decommissioned maintenance platform, choked with rusted signal boxes and tangled wiring. Quinn flattened herself against the steel casing of an old transformer and peered around the corner. Herrera stood thirty feet away at the entrance to a broad, subterranean concourse. Blocking his path were two immense figures cloaked in heavy, oiled leather, their features entirely obscured by the deep shadow of their cowls. Herrera wasn’t fighting them. With trembling fingers, he reached deep into his coat pocket and pulled out a small, curved object that looked like a sliver of polished animal rib, notched with strange, geometric carvings. He handed the bone token to the figure on the left. The guard brought it to his face, turned it once, and stepped aside, gesturing toward the tunnel beyond. Herrera vanished into the light. Quinn waited until the guards returned to their motionless vigil, then shifted her angle to see past them into the concourse. Her breath caught in her throat. It was an abandoned station, but it was alive. Stalls constructed from salvage, brass framing, and velvet spanned the length of the platform, stretching out into the dark tube tunnels as far as the eye could see. Lanterns burning with unnatural, steady violet flames hung from the arched iron rafters, casting long, shifting shadows over a moving crowd of figures. She saw glass jars containing liquids that gave off their own pale light; she saw bundles of dried roots that seemed to twist when no one was touching them; she saw people—and things that moved with a terrifying, inhuman grace—trading unmarked gold coin and whispers. This was the Veil Market. She had heard the name twice before, both times spat through broken teeth by informants who ended up dead in the Thames before their statements could be typed. Quinn looked down at her service weapon. The matte black polymer and cold steel felt suddenly, horribly inadequate against the sheer scale of the unknown lying fifty feet ahead. She had no bone token. She had no jurisdiction here. There was no law beneath the concrete, no radio signal that could punch through fifty feet of clay and ancient brick to bring help if she was discovered. If she walked out onto that platform, she was stepping beyond the edge of the map. She would become the intruder, the prey. She looked at her wrist. The worn leather watch ticked faithfully against her pulse. Morris had given it to her on the day she made detective inspector. *Keep your head down and watch the clock, Harlow,* he had told her with that tired grin. *The world doesn't care about justice, but the shifts still end.* Morris was gone. Her shift had ended three years ago, and she was still standing in the rain, chasing ghosts. Herrera was down there. He had the answers—or at least the first link in a chain that led to the thing that had killed her partner. If she turned back to the stairs, she would survive the night, but she would die an old woman with an unsolved file locked in her desk drawer. Detective Harlow Quinn drew a slow, deliberate breath, steadying her hands until the tremor vanished entirely. She holstered her weapon, snapped the retention strap into place, and stepped out from the shadows of the transformer box, walking straight toward the guards with the cold, measured precision of an officer executing a warrant.
created_at"2026-09-03T13:59:26.591Z" 9/3/2026, 1:59:26 PM
model"google/gemini-3.7-flash-20260813"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1884
moderation_latency(null)
generation_time16671
tokens_prompt888
tokens_completion2633
native_tokens_prompt852
native_tokens_completion3000
native_tokens_completion_images0
native_tokens_reasoning1370
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"
usage0.011889
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443966-2FyUg8DhPeir2zK8vsTU"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443966-UApe6Oe1RJOfR9O199Za"
upstream_id"Pn2ZatvPLbLWjrEPhazS2Qg"
provider_responses
0
endpoint_id"dd072012-3274-417d-97e3-e290cba37e31"
id"Pn2ZatvPLbLWjrEPhazS2Qg"
is_byokfalse
latency1884
model_permaslug"google/gemini-3.7-flash-20260813"
provider_name"Google AI Studio"
status200
total_cost0.011889
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
totalTags0
96.27% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1339
totalAiIsmAdverbs1
found
0
adverb"suddenly"
count1
highlights
0"suddenly"
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)
51.46% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1339
totalAiIsms13
found
0
word"fractured"
count1
1
word"measured"
count2
2
word"mechanical"
count1
3
word"weight"
count1
4
word"glint"
count1
5
word"stark"
count1
6
word"charged"
count1
7
word"echoed"
count1
8
word"echoing"
count1
9
word"constructed"
count1
10
word"velvet"
count1
11
word"pulse"
count1
highlights
0"fractured"
1"measured"
2"mechanical"
3"weight"
4"glint"
5"stark"
6"charged"
7"echoed"
8"echoing"
9"constructed"
10"velvet"
11"pulse"
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
emotionTells1
narrationSentences73
matches
0"e with panic"
84.15% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences73
filterMatches
0"watch"
hedgeMatches
0"began to"
1"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences74
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen49
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords20
totalWords1333
ratio0.015
matches
0"Keep your head down and watch the clock, Harlow,"
1"The world doesn't care about justice, but the shifts still end."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions50
wordCount1330
uniqueNames24
maxNameDensity0.83
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
London2
Quinn11
Herrera8
Camden2
Lock1
Saint1
Christopher1
Raven1
Nest1
Soho1
Astra1
Detective2
Sergeant1
Morris5
Victorian1
Glock1
Tube1
Blitz1
Northern1
Line1
Veil1
Market1
Thames1
Harlow3
persons
0"Quinn"
1"Herrera"
2"Saint"
3"Christopher"
4"Raven"
5"Astra"
6"Sergeant"
7"Morris"
8"Harlow"
places
0"London"
1"Soho"
2"Line"
3"Thames"
globalScore1
windowScore1
30.95% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences63
glossingSentenceCount3
matches
0"smelled like the cold, inexplicable frost"
1"looked like a sliver of polished animal r"
2"roots that seemed to twist when no one was touching them; she saw people—and things that moved with a terrifying, inhuman grace—trading unmarked gold coin and whispers"
49.96% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords1.5
wordCount1333
matches
0"not an alley, but a yawning mouth of crumbling Victorian masonry"
1"not the rumble of the Northern Line, but a sound like hundreds of voices murmuring at once, accompani"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences74
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs26
mean51.27
std30.49
cv0.595
sampleLengths
091
163
2115
357
43
599
648
713
870
960
109
1153
1279
1332
1471
1534
1621
176
18105
1933
2067
2123
2255
2320
2454
2552
95.65% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences73
matches
0"was discovered"
1"was gone"
42.02% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs211
matches
0"was running"
1"wasn’t fighting"
2"was touching"
3"was stepping"
4"was still standing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount2
flaggedSentences4
totalSentences74
ratio0.054
matches
0"The intelligence was thin—whispers through vice channels about an unlicensed street medic patching up bodies that shouldn't have been breathing, let alone bleeding—but thin was all she had."
1"A low, resonant hum began to vibrate through the soles of her boots—not the rumble of the Northern Line, but a sound like hundreds of voices murmuring at once, accompanied by the clatter of iron and the chime of glass."
2"She saw glass jars containing liquids that gave off their own pale light; she saw bundles of dried roots that seemed to twist when no one was touching them; she saw people—and things that moved with a terrifying, inhuman grace—trading unmarked gold coin and whispers."
3"He had the answers—or at least the first link in a chain that led to the thing that had killed her partner."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1342
adjectiveStacks0
stackExamples(empty)
adverbCount31
adverbRatio0.023099850968703428
lyAdverbCount9
lyAdverbRatio0.0067064083457526085
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences74
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences74
mean18.01
std10.88
cv0.604
sampleLengths
024
131
236
35
412
525
621
724
823
928
1040
1119
127
1331
143
1516
1616
1718
1849
197
2037
214
226
237
2419
2517
2619
2715
289
2916
3035
319
3216
3323
3414
3517
3622
3740
3816
3916
4013
4123
424
4331
4411
4518
465
4721
486
499
53.15% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.35135135135135137
totalSentences74
uniqueOpeners26
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences73
matches(empty)
ratio0
66.58% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences73
matches
0"Her closely cropped salt-and-pepper hair"
1"He was fast, younger by"
2"He sprinted in erratic bursts,"
3"She had waited outside that"
4"It was all she had"
5"She vaulted the low brick"
6"Her voice had the flat,"
7"He threw his weight against"
8"She pressed her back to"
9"It read 11:42 PM."
10"She kicked the corrugated sheet"
11"It groaned and collapsed into"
12"It was charged, heavy with"
13"It smelled like the cold,"
14"Her thumb rested on the"
15"She stepped through the threshold,"
16"He handed the bone token"
17"Her breath caught in her"
18"It was an abandoned station,"
19"She saw glass jars containing"
ratio0.384
28.49% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount63
totalSentences73
matches
0"The rain over north London"
1"Harlow Quinn kept her pace"
2"Her closely cropped salt-and-pepper hair"
3"Tomás Herrera was running scared."
4"He was fast, younger by"
5"He sprinted in erratic bursts,"
6"Every few strides, his hand"
7"Quinn had picked up his"
8"She had waited outside that"
9"The intelligence was thin—whispers through"
10"It was all she had"
11"Herrera cut hard to the"
12"Quinn closed the distance with"
13"She vaulted the low brick"
14"Her voice had the flat,"
15"He threw his weight against"
16"The metal shrieked as it"
17"Quinn reached the archway three"
18"She pressed her back to"
19"It read 11:42 PM."
ratio0.863
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences73
matches
0"If she walked out onto"
1"If she turned back to"
ratio0.027
60.44% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences52
technicalSentenceCount6
matches
0"The intelligence was thin—whispers through vice channels about an unlicensed street medic patching up bodies that shouldn't have been breathing, let alone bleed…"
1"Beyond lay not an alley, but a yawning mouth of crumbling Victorian masonry that plunged downward into the earth."
2"But if she radioed in a pursuit into an unregistered subterranean shaft beneath Camden, the same faceless inspectors who had shredded Morris’s incident reports …"
3"With trembling fingers, he reached deep into his coat pocket and pulled out a small, curved object that looked like a sliver of polished animal rib, notched wit…"
4"She saw glass jars containing liquids that gave off their own pale light; she saw bundles of dried roots that seemed to twist when no one was touching them; she…"
5"She had heard the name twice before, both times spat through broken teeth by informants who ended up dead in the Thames before their statements could be typed."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
78.6373%