Run: 2026-07-25-01KYCWXE0RAQGAK2M0TWRHZVNE

Run Details

Duration:
6.7s
Cost:
$0.003211
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 Soho fell in heavy, greasy sheets, turning the asphalt into a slick mirror that fractured the neon signs bleeding from the doorways. Detective Harlow Quinn did not feel the cold. Eighteen years in the Metropolitan Police had beaten the weather out of her, leaving behind a sharp, coiled focus that smelled of wet wool and gunmetal. Her stride was a march, measured and relentless, born of military precision. Ahead of her, slipping between a pair of late-night couriers and vaulting a rusted iron waste bin, was the source of her current headache. The runner—a twitchy kid who called himself Tommy when he wasn't dealing in things that left glowing residue on ultraviolet scans—was fast, but he was careless. He left a trail of mud and fractured puddles in his wake. Quinn rounded the corner of Greek Street, her heavy boots splashing through the gutters. Her hand hovered instinctively near her holster, though her fingers brushed the worn leather watch on her left wrist instead—a reflex from three years ago, a phantom tick from the night she lost DS Morris to something the autopsy reports couldn't quite map out. She had spent three years looking for logic in a world that had rewritten its own rules. She didn't believe in ghosts, but she believed in evidence, and the evidence said this clique of Soho operators was up to its neck in something rotten. The runner bolted down an alleyway flanking a dimly lit bar called The Raven's Nest. Above the heavy oak door, a distinctive green neon sign hummed and flickered, casting an emerald pallor over the wet bricks. Quinn didn't check the name. She only saw the target duck into a low-slung, rusted stairwell that plummeted sharply into the earth, half-hidden behind a stack of empty ale kegs. Quinn hit the top of the stairwell hard, her boots skidding an inch before she caught her balance. The air changed instantly. The scent of ozone, damp concrete, and diesel exhaust vanished, replaced by the cloying, metallic tang of ozone, old copper, and something that smelled faintly of scorched bone. She descended into the dark, her right hand finally clearing her service weapon. The walls here were rough-hewn brick, slick with condensation, dripping rhythmically into puddles that swallowed the beam of her pocket flashlight. She was beneath the city now, dropping deep below the rumble of the Northern Line. The hum of the underground grew louder, a subterranean vibration that rattled her teeth. At the bottom of the rusted iron stairs stood a heavy timber door reinforced with iron bands, wedged slightly ajar. A thin strip of amber light bled onto the flagstones. Quinn paused, pressing her back against the damp brickwork. Her breathing was steady, her sharp jaw clenched. Her training screamed at her to wait for backup. She had no radio signal down here—her comms had died two turns back, reduced to a hollow, hissing static. Entering a subterranean bottleneck alone, pursuing a suspect into territory completely off the grid, was textbook suicide. Yet, as she peered through the crack in the door, her rational mind collided with a cold, jagged memory. The unclosed files. The unexplained deaths. The quiet conspiracy of silence that hung over every supernatural undercurrent in London. If she turned back now, she would lose them again. She pushed the heavy door open with the barrel of her Glock. The hinges didn't creak; they groaned, sliding open upon oiled iron. Quinn stepped through into the heart of the Veil Market. The scale of it hit her like a physical blow. She stood on a rusted metal cat-walk suspended over the abandoned, subterranean tracks of an old Camden Tube station. Below, stretching out along the curvature of the long-dead rail bed, was a sprawling, suffocating bazaar carved directly into the subterranean rock. Lanterns fueled by a sickly blue oil flickered from makeshift stalls draped in rotting canvas. Hundreds of figures moved through the gloom—some wearing heavy cloaks, others bearing subtle, unsettling departures from human anatomy. Stalls groaned under the weight of glass jars containing floating bioluminescent organs, bundles of dried herbs that smelled of old copper, and wicked, jagged blades forged from unrecognizable metals. The ambient noise was deafening: a low, dissonant hum of market haggling, the clink of strange currency, and the wet, clicking cadence of a language Quinn’s ears refused to parse. A few yards down the catwalk, the runner—Tomás Herrera, she remembered from the surveillance dossiers, the former paramedic who patched up the neighborhood's bleeding freaks—was weaving desperately through a knot of heavily scarred, broad-shouldered dock workers inspecting crates of glowing, violet powder. Quinn’s boots struck the iron grate of the catwalk, the sharp ring cutting through the cavernous murmur of the market. Herrera whipped his head around. The warm brown of his eyes widened in stark panic. She caught the flash of a heavy silver medallion—a Saint Christopher—swinging wildly against his chest as he bolted again, shoving past a merchant draped in heavy furs. Quinn didn't hesitate. She stepped onto the metal walkway, her eyes scanning the crowd, calculating angles, escape routes, and threats. Every instinct in her body screamed that she had crossed a threshold from which there was no clean exit. Down here, the Metropolitan Police didn't exist. There was no jurisdiction, no badge that commanded respect, and no backup coming through the door. She tightened her grip on her pistol, leveled her gaze on the retreating figure in the crowd, and stepped off the platform into the suffocating belly of the market.
created_at"2026-07-25T15:04:49.442Z" 7/25/2026, 3:04:49 PM
model"google/gemini-3.5-flash-lite-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency280
moderation_latency(null)
generation_time6602
tokens_prompt888
tokens_completion1438
native_tokens_prompt852
native_tokens_completion1182
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"
usage0.0032106
router(null)
provider_responses
0
endpoint_id"6bd8f433-79e1-416c-b407-1772eb796c9a"
id"kdBkap2XH8rQjMcP8tPvmQY"
is_byokfalse
latency280
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-1784991889-GgPbkj5TJJ8sijhqnZFr"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784991889-5K7AeT2h4HFtSNFXVMyL"
upstream_id"kdBkap2XH8rQjMcP8tPvmQY"
total_cost0.0032106
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
83.94% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount934
totalAiIsmAdverbs3
found
0
adverb"sharply"
count1
1
adverb"slightly"
count1
2
adverb"completely"
count1
highlights
0"sharply"
1"slightly"
2"completely"
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)
35.76% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount934
totalAiIsms12
found
0
word"fractured"
count2
1
word"measured"
count1
2
word"flickered"
count2
3
word"jaw clenched"
count1
4
word"silence"
count1
5
word"gloom"
count1
6
word"weight"
count1
7
word"stark"
count1
8
word"scanning"
count1
9
word"calculating"
count1
highlights
0"fractured"
1"measured"
2"flickered"
3"jaw clenched"
4"silence"
5"gloom"
6"weight"
7"stark"
8"scanning"
9"calculating"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"eyes widened/narrowed"
count1
1
label"jaw/fists clenched"
count1
highlights
0"eyes widened"
1"jaw clenched"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences55
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences55
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences55
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen45
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords925
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions35
wordCount925
uniqueNames23
maxNameDensity0.97
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Soho2
Harlow1
Quinn9
Metropolitan2
Police2
Tommy1
Greek1
Street1
Morris1
Raven1
Nest1
Northern1
Line1
London1
Glock1
Veil1
Market1
Camden1
Tube1
Tomás1
Herrera2
Saint1
Christopher1
persons
0"Harlow"
1"Quinn"
2"Police"
3"Tommy"
4"Morris"
5"Raven"
6"Market"
7"Tomás"
8"Herrera"
9"Saint"
10"Christopher"
places
0"Soho"
1"Metropolitan"
2"Greek"
3"Street"
4"London"
globalScore1
windowScore1
98.98% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences49
glossingSentenceCount1
matches
0"quite map out"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount925
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences55
matches
0"screamed that she"
83.94% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs18
mean51.39
std22.81
cv0.444
sampleLengths
071
162
2102
366
450
563
630
762
848
912
1021
1184
1259
1342
1420
1542
1662
1729
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences55
matches(empty)
63.95% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs147
matches
0"wasn't dealing"
1"was deafening"
2"was weaving"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount9
semicolonCount1
flaggedSentences7
totalSentences55
ratio0.127
matches
0"The runner—a twitchy kid who called himself Tommy when he wasn't dealing in things that left glowing residue on ultraviolet scans—was fast, but he was careless."
1"Her hand hovered instinctively near her holster, though her fingers brushed the worn leather watch on her left wrist instead—a reflex from three years ago, a phantom tick from the night she lost DS Morris to something the autopsy reports couldn't quite map out."
2"She had no radio signal down here—her comms had died two turns back, reduced to a hollow, hissing static."
3"The hinges didn't creak; they groaned, sliding open upon oiled iron."
4"Hundreds of figures moved through the gloom—some wearing heavy cloaks, others bearing subtle, unsettling departures from human anatomy."
5"A few yards down the catwalk, the runner—Tomás Herrera, she remembered from the surveillance dossiers, the former paramedic who patched up the neighborhood's bleeding freaks—was weaving desperately through a knot of heavily scarred, broad-shouldered dock workers inspecting crates of glowing, violet powder."
6"She caught the flash of a heavy silver medallion—a Saint Christopher—swinging wildly against his chest as he bolted again, shoving past a merchant draped in heavy furs."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount941
adjectiveStacks0
stackExamples(empty)
adverbCount23
adverbRatio0.024442082890541977
lyAdverbCount16
lyAdverbRatio0.01700318809776833
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences55
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences55
mean16.82
std8.96
cv0.533
sampleLengths
025
18
226
312
424
526
612
714
844
917
1027
1115
1221
135
1425
1518
164
1728
1813
1921
2015
2114
2220
2310
249
258
269
2719
2817
2919
303
313
3213
3310
3412
3511
3610
3710
3819
3922
4015
4118
4229
4330
4442
4520
465
4710
4827
493
57.58% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.4
totalSentences55
uniqueOpeners22
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences55
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount16
totalSentences55
matches
0"Her stride was a march,"
1"He left a trail of"
2"Her hand hovered instinctively near"
3"She had spent three years"
4"She didn't believe in ghosts,"
5"She only saw the target"
6"She descended into the dark,"
7"She was beneath the city"
8"Her breathing was steady, her"
9"Her training screamed at her"
10"She had no radio signal"
11"She pushed the heavy door"
12"She stood on a rusted"
13"She caught the flash of"
14"She stepped onto the metal"
15"She tightened her grip on"
ratio0.291
60.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount44
totalSentences55
matches
0"The rain in Soho fell"
1"Detective Harlow Quinn did not"
2"Her stride was a march,"
3"The runner—a twitchy kid who"
4"He left a trail of"
5"Quinn rounded the corner of"
6"Her hand hovered instinctively near"
7"She had spent three years"
8"She didn't believe in ghosts,"
9"The runner bolted down an"
10"Quinn didn't check the name."
11"She only saw the target"
12"Quinn hit the top of"
13"The air changed instantly."
14"The scent of ozone, damp"
15"She descended into the dark,"
16"The walls here were rough-hewn"
17"She was beneath the city"
18"The hum of the underground"
19"A thin strip of amber"
ratio0.8
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences55
matches
0"Yet, as she peered through"
1"If she turned back now,"
ratio0.036
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences44
technicalSentenceCount10
matches
0"The rain in Soho fell in heavy, greasy sheets, turning the asphalt into a slick mirror that fractured the neon signs bleeding from the doorways."
1"Eighteen years in the Metropolitan Police had beaten the weather out of her, leaving behind a sharp, coiled focus that smelled of wet wool and gunmetal."
2"The runner—a twitchy kid who called himself Tommy when he wasn't dealing in things that left glowing residue on ultraviolet scans—was fast, but he was careless."
3"She only saw the target duck into a low-slung, rusted stairwell that plummeted sharply into the earth, half-hidden behind a stack of empty ale kegs."
4"The scent of ozone, damp concrete, and diesel exhaust vanished, replaced by the cloying, metallic tang of ozone, old copper, and something that smelled faintly …"
5"The walls here were rough-hewn brick, slick with condensation, dripping rhythmically into puddles that swallowed the beam of her pocket flashlight."
6"The hum of the underground grew louder, a subterranean vibration that rattled her teeth."
7"The quiet conspiracy of silence that hung over every supernatural undercurrent in London."
8"Stalls groaned under the weight of glass jars containing floating bioluminescent organs, bundles of dried herbs that smelled of old copper, and wicked, jagged b…"
9"She stepped onto the metal walkway, her eyes scanning the crowd, calculating angles, escape routes, and threats."
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
81.6937%