Run: 2026-07-25-01KYCVPG7VK1EDP5NBHK5YE1AY

Run Details

Duration:
5.3s
Cost:
$0.002656
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 fell in relentless sheets over Camden, drumming a frantic rhythm against the slick asphalt and turning the gutters into rushing brown arteries. Detective Harlow Quinn did not feel the cold. Her focus was absolute, honed by eighteen years on the force and a sharp, unforgiving jaw that seemed carved from the same gray stone as the London facades. Her closely cropped salt-and-pepper hair was plastered to her skull, and water tracked down her face, dripping from her chin. On her left wrist, the worn leather watch ticked blindly on, though she had long since stopped checking the time. Three years ago, she would have called for backup. Three years ago, she would have believed in sirens, red lights, and the comforting geometry of precinct lines. But since the night she lost DS Morris to things that defied police reports and medical examiners alike, Harlow trusted only her own boots on the pavement and the steady burn of instinct in her gut. Fifty yards ahead, a hooded figure darted between a pair of stalled delivery vans, splashing through a knee-deep puddle with desperate speed. It was Tomás Herrera. The former paramedic had been on her radar for a week—a phantom who stitched up gunshot wounds for people who never went to hospitals, a ghost moving through the city's dark underbelly. Harlow closed the distance, her military precision keeping her stride long, low, and punishingly efficient. She leaped over a rusted iron grating, her breath pluming white in the freezing midnight air. Herrera was leading her north, away from the neon glow of the main thoroughfares, dragging her deeper into the labyrinthine shadows of the borough. The runner suddenly swerved sharply to the left, cutting down an alleyway choked with overflowing dumpsters and the sour reek of rotting produce. Harlow didn't hesitate. She drew her service weapon, the matte black steel cold and heavy in her gloved hand, and rounded the corner just in time to see Herrera disappear. There was no exit at the end of the alley. Just a corrugated metal fence and the crumbling brick exterior of an abandoned London Underground station—a relic choked by ivy and decades of soot. Harlow reached the dead-end wall, her chest heaving, boots sliding on the wet stone. She swept her flashlight beam across the masonry. There was no sign of the paramedic, no open door, no drainpipe wide enough to scale. Just a heavy steel maintenance hatch set into the concrete floor, half-concealed beneath a sodden blue tarp. She dropped to one knee, ignoring the icy water soaking through her trousers, and yanked the tarp back. The hatch was unlocked, its rusted latch forced upward with recent violence. A draft billowed up from the subterranean depths below—air that smelled sickeningly sweet, like crushed lavender mixed with oxidized copper and old ozone. It was a smell that didn't belong in a city storm drain. It was the exact same scent she had found on the wind the night Morris vanished. Harlow gripped her flashlight tighter, casting the beam down into the yawning black stairwell. The concrete steps descended steeply into pitch darkness, vanishing into a profound, suffocating void. This was the Veil Market. She knew the intelligence reports—scraps of rumors gathered from desperate informants and informants who had stopped breathing shortly after talking. An underground black market trading in banned alchemical goods and supernatural contraband that shifted locations with the lunar cycle. Right beneath the city's feet, operating by its own laws, hidden from the crown, the parliament, and the metropolitan police. If she went down those stairs, she would be leaving jurisdiction behind. No radios. No reinforcements. No badge that carried any weight against whatever buyers and sellers congregated in the dark. A sharp, metallic clang echoed from deep within the subterranean station, followed by the muffled, hurried scrape of boots against tile. Herrera was still moving, descending deeper into the warren. Harlow’s jaw tightened until the bone ached. The memory of Morris flashed behind her eyes—the sudden, unnatural cold, the empty space where her partner had been standing just a heartbeat before. She had spent three years looking for answers in all the wrong places, hunting ghosts in dead-end paper trails. She stood up, checked the slide of her weapon with a practiced, familiar click, and stepped onto the top metal rung of the ladder. The hatch slammed shut behind her with a heavy, final echo as the wind caught it, plunging the stairwell into total, absolute dark. Harlow clicked on her flashlight, the brilliant white beam cutting through the damp air, and began to descend into the market.
created_at"2026-07-25T14:43:33.766Z" 7/25/2026, 2:43:33 PM
model"google/gemini-3.5-flash-lite-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency270
moderation_latency(null)
generation_time5219
tokens_prompt888
tokens_completion1193
native_tokens_prompt852
native_tokens_completion960
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"default"
usage0.0026556
router(null)
provider_responses
0
endpoint_id"6bd8f433-79e1-416c-b407-1772eb796c9a"
id"lctkaoeVNJ-d-8YPo9PxsAY"
is_byokfalse
latency270
model_permaslug"google/gemini-3.5-flash-lite-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-1784990613-PBZxrGWvrCGlUtKSIuhG"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784990613-Vi5wfLha6gK0y3c47cjl"
upstream_id"lctkaoeVNJ-d-8YPo9PxsAY"
total_cost0.0026556
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
totalTags0
87.10% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount775
totalAiIsmAdverbs2
found
0
adverb"suddenly"
count1
1
adverb"sharply"
count1
highlights
0"suddenly"
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)
48.39% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount775
totalAiIsms8
found
0
word"comforting"
count1
1
word"efficient"
count1
2
word"depths"
count1
3
word"profound"
count1
4
word"weight"
count1
5
word"echoed"
count1
6
word"familiar"
count1
7
word"echo"
count1
highlights
0"comforting"
1"efficient"
2"depths"
3"profound"
4"weight"
5"echoed"
6"familiar"
7"echo"
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
narrationSentences46
matches(empty)
80.75% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences46
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences46
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen36
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords770
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
98.05% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions23
wordCount770
uniqueNames10
maxNameDensity1.04
worstName"Harlow"
maxWindowNameDensity1.5
worstWindowName"Harlow"
discoveredNames
Camden1
Harlow8
Quinn1
London2
Morris3
Tomás1
Herrera4
Underground1
Veil1
Market1
persons
0"Camden"
1"Harlow"
2"Quinn"
3"Morris"
4"Tomás"
5"Herrera"
places
0"London"
globalScore0.981
windowScore1
89.02% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences41
glossingSentenceCount1
matches
0"seemed carved from the same gray stone as the London facades"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount770
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences46
matches(empty)
75.30% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs16
mean48.13
std19.9
cv0.414
sampleLengths
0100
163
258
355
453
534
655
718
863
928
1064
1131
1230
1350
1424
1544
90.01% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences46
matches
0"was plastered"
1"was unlocked"
87.01% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs118
matches
0"was leading"
1"was still moving"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences5
totalSentences46
ratio0.109
matches
0"The former paramedic had been on her radar for a week—a phantom who stitched up gunshot wounds for people who never went to hospitals, a ghost moving through the city's dark underbelly."
1"Just a corrugated metal fence and the crumbling brick exterior of an abandoned London Underground station—a relic choked by ivy and decades of soot."
2"A draft billowed up from the subterranean depths below—air that smelled sickeningly sweet, like crushed lavender mixed with oxidized copper and old ozone."
3"She knew the intelligence reports—scraps of rumors gathered from desperate informants and informants who had stopped breathing shortly after talking."
4"The memory of Morris flashed behind her eyes—the sudden, unnatural cold, the empty space where her partner had been standing just a heartbeat before."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount781
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.023047375160051217
lyAdverbCount10
lyAdverbRatio0.012804097311139564
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences46
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences46
mean16.74
std7.76
cv0.464
sampleLengths
024
18
228
320
420
59
618
736
822
94
1032
1115
1216
1324
1423
153
1627
1710
1824
1914
208
2116
2217
2318
2412
2523
2612
2716
2814
2914
305
3120
3219
3320
3412
352
362
3715
3821
399
407
4124
4219
4324
4423
4521
55.80% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.41304347826086957
totalSentences46
uniqueOpeners19
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences44
matches
0"Just a corrugated metal fence"
1"Just a heavy steel maintenance"
ratio0.045
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount12
totalSentences44
matches
0"Her focus was absolute, honed"
1"Her closely cropped salt-and-pepper hair"
2"It was Tomás Herrera."
3"She leaped over a rusted"
4"She drew her service weapon,"
5"She swept her flashlight beam"
6"She dropped to one knee,"
7"It was a smell that"
8"It was the exact same"
9"She knew the intelligence reports—scraps"
10"She had spent three years"
11"She stood up, checked the"
ratio0.273
96.36% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount32
totalSentences44
matches
0"The rain fell in relentless"
1"Detective Harlow Quinn did not"
2"Her focus was absolute, honed"
3"Her closely cropped salt-and-pepper hair"
4"It was Tomás Herrera."
5"The former paramedic had been"
6"Harlow closed the distance, her"
7"She leaped over a rusted"
8"Herrera was leading her north,"
9"The runner suddenly swerved sharply"
10"Harlow didn't hesitate."
11"She drew her service weapon,"
12"Harlow reached the dead-end wall,"
13"She swept her flashlight beam"
14"She dropped to one knee,"
15"The hatch was unlocked, its"
16"A draft billowed up from"
17"It was a smell that"
18"It was the exact same"
19"Harlow gripped her flashlight tighter,"
ratio0.727
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences44
matches
0"If she went down those"
ratio0.023
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount8
matches
0"Her focus was absolute, honed by eighteen years on the force and a sharp, unforgiving jaw that seemed carved from the same gray stone as the London facades."
1"But since the night she lost DS Morris to things that defied police reports and medical examiners alike, Harlow trusted only her own boots on the pavement and t…"
2"The former paramedic had been on her radar for a week—a phantom who stitched up gunshot wounds for people who never went to hospitals, a ghost moving through th…"
3"She leaped over a rusted iron grating, her breath pluming white in the freezing midnight air."
4"Harlow reached the dead-end wall, her chest heaving, boots sliding on the wet stone."
5"A draft billowed up from the subterranean depths below—air that smelled sickeningly sweet, like crushed lavender mixed with oxidized copper and old ozone."
6"She knew the intelligence reports—scraps of rumors gathered from desperate informants and informants who had stopped breathing shortly after talking."
7"An underground black market trading in banned alchemical goods and supernatural contraband that shifted locations with the lunar cycle."
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
86.9261%