Run: 2026-07-25-01KYCWZSMB5QVYD50HNJG9J5HZ

Run Details

Duration:
6.5s
Cost:
$0.003091
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 was the kind that had no intention of stopping, a relentless gray sheet that turned the asphalt into a greasy mirror and slicked the dark, closely cropped salt-and-pepper hair against Detective Harlow Quinn’s skull. She adjusted her grip on her service pistol, her thumb instinctively checking the safety before dropping back to the polymer frame. Her worn leather watch, ticking steadily on her left wrist, told her it was past midnight. Three paces ahead, the fugitive vaulted a rusted iron turnstile with fluid, desperate energy. Quinn didn’t hesitate. She lunged forward, her sharp jaw set tight, her 5’9” frame driving through the downpour with the cold, practiced efficiency of eighteen years on the Metropolitan Police force. She had lost too many leads, chased too many ghosts—and she had lost DS Morris three years ago to a case that still tasted like ash in the back of her throat. She wasn't losing this one. The target ducked beneath a glowing green neon sign that bled sickly colors into the puddles. The Raven’s Nest. Silas’s bar. Quinn didn't bother with the front door. She bypassed the entrance, her boots slamming against the alley brickwork as she tracked the frantic scuffle of shoes on wet concrete. The fugitive was pushing through the rear utility door, leaving it swinging wildly on its hinges, clattering against the damp masonry. Quinn slipped through the gap, her weapon raised, sweeping the dim interior of the back room. The air here smelled of stale malt, cedar, and old copper. Old maps and black-and-white photographs blurred past her peripheral vision as she cleared the corridor, her military-trained eyes reading every shadow. But the bar was empty, save for the hum of an ancient refrigerator and the steady *drip-drop* of a leaking pipe. No, not empty. A heavy oak bookshelf, usually flush against the far wall, stood slightly ajar. A thin strip of yellow light cut across the floorboards. Quinn approached it, her breath hissing softly through her teeth. She nudged the shelf wider with the barrel of her pistol. Behind it lay a steep, subterranean stairwell plunging downward into the dark, smelling sharply of damp earth, ozone, and copper. She took a step down, the concrete growing slick beneath her soles. The sounds of Soho—the distant whine of sirens, the hiss of tires on Oxford Street—vanished, swallowed by a profound, echoing silence. At the bottom of the stairs, a heavy iron gate stood half-open, its bars twisted like wrought-iron ribs. Beyond it sprawled the Veil Market. Quinn’s boots crunched on something hard and white. She looked down, her heart hammering a slow, heavy rhythm against her ribs. The floor of the abandoned Camden Tube station was littered not with gravel, but with fragments of bone. Thousands of small, polished vertebrae and knuckle bones crunched underfoot, paving the sprawling subterranean platform where the old Piccadilly line trains used to idle. Stall tents made of canvas and rusted corrugated iron stretched down the long-abandoned tracks. Phosphorescent lanterns hung from the steel beams, casting an unwholesome violet glow over a crowd that made Quinn’s skin crawl. Figures in heavy cloaks, some too tall, some moving with an uncanny, lurching fluidity that defied human anatomy, huddled over wooden crates. Glass vials of swirling, bioluminescent liquids caught the purple light. Jars of preserved specimens sat next to gleaming, razor-sharp daggers etched with runes Quinn couldn't read. A low murmur of alien dialects vibrated in the damp air, a susurrus of whispers that sounded like dry leaves scraping across stone. Deep in the market, weaving through a knot of heavily hooded traders, the fugitive was still moving. Quinn stopped at the edge of the platform, the iron gate cold against her shoulder. Her hand trembled slightly—not from the chill, but from the raw, instinctive warning screaming in the back of her mind. This was outside her jurisdiction. This was outside the map. Three years ago, she would have called for backup, waited for the perimeter unit, played by the book. But the book hadn't saved Morris when the shadows had opened up and swallowed him whole. She tightened her grip on her pistol. Her boots stepped past the gate and onto the carpet of bone. The sound was amplified in the cavernous tunnel, a sharp *crunch, crunch* that cut through the low murmur of the market. Instantly, the ambient chatter died. Dozens of cowled heads turned as one. Glowing eyes—amber, violet, slit-pupiled and entirely unnatural—fixed upon her. Quinn didn't lower her weapon. She leveled it straight ahead, her shoulders square, her bearing rigid with military precision. "Metropolitan Police," she called out, her voice hard and level, cutting through the heavy air. "Nobody moves." The crowd parted slowly, watching her with predatory curiosity, but the fugitive had already vanished into the maze of rusted rolling stock parked on the dead-end tracks. Quinn took another step forward, plunging deeper into the dark, ignoring the cold sweat breaking out along her hairline. The trail was still warm. And she was going to find out where it led, no matter what lived in the dark.
created_at"2026-07-25T15:06:06.876Z" 7/25/2026, 3:06:06 PM
model"google/gemini-3.5-flash-lite-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency344
moderation_latency(null)
generation_time6278
tokens_prompt888
tokens_completion1329
native_tokens_prompt852
native_tokens_completion1134
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"
usage0.0030906
router(null)
provider_responses
0
endpoint_id"6bd8f433-79e1-416c-b407-1772eb796c9a"
id"39Bkapi2Ccn1jMcPkZeM4A8"
is_byokfalse
latency344
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-1784991967-dsP5FeNUIEV3duEPMt7x"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784991967-C8zLYBvXIGgatoVVF5GO"
upstream_id"39Bkapi2Ccn1jMcPkZeM4A8"
total_cost0.0030906
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
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences2
tagDensity1
leniency1
rawRatio0
effectiveRatio0
70.79% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount856
totalAiIsmAdverbs5
found
0
adverb"slightly"
count2
1
adverb"softly"
count1
2
adverb"sharply"
count1
3
adverb"slowly"
count1
highlights
0"slightly"
1"softly"
2"sharply"
3"slowly"
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)
41.59% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount856
totalAiIsms10
found
0
word"profound"
count1
1
word"echoing"
count1
2
word"silence"
count1
3
word"uncanny"
count1
4
word"lurching"
count1
5
word"gleaming"
count1
6
word"etched"
count1
7
word"vibrated"
count1
8
word"trembled"
count1
9
word"chill"
count1
highlights
0"profound"
1"echoing"
2"silence"
3"uncanny"
4"lurching"
5"gleaming"
6"etched"
7"vibrated"
8"trembled"
9"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
emotionTells0
narrationSentences25
matches(empty)
85.71% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences25
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences25
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen84
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords3
totalWords850
ratio0.004
matches
0"drip-drop"
1"crunch, crunch"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
80.38% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions25
wordCount790
uniqueNames14
maxNameDensity1.39
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Soho2
Detective1
Harlow1
Quinn11
Raven1
Nest1
Oxford1
Street1
Veil1
Market1
Camden1
Tube1
Piccadilly1
Morris1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Morris"
places
0"Soho"
1"Oxford"
2"Street"
globalScore0.804
windowScore1
41.30% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences23
glossingSentenceCount1
matches
0"sounded like dry leaves scraping across st"
0.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords2.353
wordCount850
matches
0"not with gravel, but with fragments of bone"
1"not from the chill, but from the raw, instinctive warning screaming in the back of h"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences25
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs22
mean38.64
std23.48
cv0.608
sampleLengths
075
114
268
321
450
569
63
723
841
933
1024
1163
1282
1323
1417
1579
1619
1742
1819
1917
2027
2141
77.19% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences25
matches
0"was littered"
1"was amplified"
84.06% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs115
matches
0"was pushing"
1"was still moving"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences3
totalSentences25
ratio0.12
matches
0"She took a step down, the concrete growing slick beneath her soles. The sounds of Soho—the distant whine of sirens, the hiss of tires on Oxford Street—vanished, swallowed by a profound, echoing silence."
1"Quinn stopped at the edge of the platform, the iron gate cold against her shoulder. Her hand trembled slightly—not from the chill, but from the raw, instinctive warning screaming in the back of her mind. This was outside her jurisdiction. This was outside the map. Three years ago, she would have called for backup, waited for the perimeter unit, played by the book. But the book hadn't saved Morris when the shadows had opened up and swallowed him whole."
2"The sound was amplified in the cavernous tunnel, a sharp *crunch, crunch* that cut through the low murmur of the market. Instantly, the ambient chatter died. Dozens of cowled heads turned as one. Glowing eyes—amber, violet, slit-pupiled and entirely unnatural—fixed upon her."
92.39% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount103
adjectiveStacks0
stackExamples(empty)
adverbCount3
adverbRatio0.02912621359223301
lyAdverbCount3
lyAdverbRatio0.02912621359223301
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences25
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences25
mean34
std22.09
cv0.65
sampleLengths
038
121
216
314
43
565
621
750
869
93
1023
1141
1233
1324
1463
1582
1623
1717
1879
1919
2042
2119
2217
2327
2441
69.33% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.44
totalSentences25
uniqueOpeners11
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences25
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount6
totalSentences25
matches
0"She adjusted her grip on"
1"Her worn leather watch, ticking"
2"She lunged forward, her sharp"
3"She took a step down,"
4"She tightened her grip on"
5"she called out, her voice"
ratio0.24
40.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount21
totalSentences25
matches
0"The rain in Soho was"
1"She adjusted her grip on"
2"Her worn leather watch, ticking"
3"Quinn didn’t hesitate."
4"She lunged forward, her sharp"
5"The target ducked beneath a"
6"Quinn didn't bother with the"
7"Quinn slipped through the gap,"
8"A heavy oak bookshelf, usually"
9"Quinn approached it, her breath"
10"She took a step down,"
11"Quinn’s boots crunched on something"
12"Stall tents made of canvas"
13"A low murmur of alien"
14"Quinn stopped at the edge"
15"She tightened her grip on"
16"The sound was amplified in"
17"Quinn didn't lower her weapon."
18"she called out, her voice"
19"The crowd parted slowly, watching"
ratio0.84
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences25
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences21
technicalSentenceCount6
matches
0"The rain in Soho was the kind that had no intention of stopping, a relentless gray sheet that turned the asphalt into a greasy mirror and slicked the dark, clos…"
1"The target ducked beneath a glowing green neon sign that bled sickly colors into the puddles. The Raven’s Nest. Silas’s bar."
2"Quinn didn't bother with the front door. She bypassed the entrance, her boots slamming against the alley brickwork as she tracked the frantic scuffle of shoes o…"
3"Quinn approached it, her breath hissing softly through her teeth. She nudged the shelf wider with the barrel of her pistol. Behind it lay a steep, subterranean …"
4"Quinn’s boots crunched on something hard and white. She looked down, her heart hammering a slow, heavy rhythm against her ribs. The floor of the abandoned Camde…"
5"Stall tents made of canvas and rusted corrugated iron stretched down the long-abandoned tracks. Phosphorescent lanterns hung from the steel beams, casting an un…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount1
matches
0"she called out, her voice hard and level, cutting through the heavy air"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"she called out (call out)"
dialogueSentences2
tagDensity0.5
leniency1
rawRatio1
effectiveRatio1
66.0920%