Run: 2026-07-25-01KYCVHBRSWE56C6SSBKKMVXKB

Run Details

Duration:
7.5s
Cost:
$0.003676
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, rhythmic sheets, hammering the asphalt and turning the slick London streets into black mirrors. Detective Harlow Quinn did not feel the cold. Her focus was absolute, honed by eighteen years of Metropolitan Police service and the persistent, phantom ghost of a partner she had failed to save three years ago. Her closely cropped salt-and-pepper hair was plastered to her skull, and water dripped from the sharp line of her jaw, but her gaze never wavered from the figure moving ahead through the gloom. She checked her stride, her boots hissing against the flooded pavement. Ahead of her, ducking beneath the buzz of a distinctive green neon sign, was a familiar shape. Tomás Herrera. The former NHS paramedic, stripped of his license for stitching up things that didn't bleed normal blood, was moving with a desperate, jerky cadence. He carried himself like a man who knew he was hunted. Quinn rounded the corner, her left hand coming up instinctively to brush against the worn leather watch on her wrist. The Raven’s Nest loomed to her right, its dark windows reflecting the neon hum, but Herrera wasn't stopping for a drink. He was cutting through the alleyway beside the bar, heading north toward Camden. She tracked him with military precision, keeping just enough distance to avoid detection while closing the gap with every block. Herrera glanced over his shoulder once, his olive skin stark under the amber sodium glare of a streetlamp, warm brown eyes wide with panic. He clutched something tight against his chest—a small, dark package wrapped in heavy cloth. Quinn broke into a hard sprint, her breath pluming white in the damp air. She knew the clique Herrera ran with was dirty. She knew they dealt in things that defied the coroner's manual, things that made her skin prickle with a deep, visceral unease. But she had chased shadows for three years, ever since Morris had vanished into the damp dark of a botched warehouse raid, and she was done chasing shadows. She wanted answers. The chase dragged them away from the glittering West End pubs and into the skeletal, echoing framework of North London. The city grew quieter, the grand Victorian facades giving way to derelict brick warehouses and rusted corrugated iron. Herrera was running harder now, his breath coming in ragged gasps that echoed off the damp brickwork. He cut across a patch of overgrown wasteland, scrambling down a concrete embankment that dropped steeply toward the disused railway lines. Quinn didn't hesitate. She slid down the muddy slope, boots tearing up turf, and hit the bottom running. Ahead, half-swallowed by ivy and decades of soot, stood the rusted iron gates of an abandoned London Underground station. Camden’s ghost platforms, long forgotten by commuters and city planners alike. Herrera didn't slow down. He wrenched open a side maintenance door—one that should have been padlocked shut—and slipped into the pitch-black maw of the stairwell. Quinn reached the threshold a heartbeat later, skidding to a halt on the gritty concrete. She pulled a heavy-duty flashlight from her tactical belt, snapping it on with a sharp click. The beam cut a jagged white tunnel through the swirling dust and damp air, illuminating a flight of steep, tiled stairs plunging downward into the earth. The Veil Market. The words rose unbidden from the back of her mind, dredged up from confidential informants, erratic midnight arrests, and whispers in dark precinct basements. An underground black market of the bizarre, shifting locations beneath the city’s foundations, trading in enchanted contraband and forbidden alchemical brews. Police didn't go down there. Regular cops went missing down there, their cases quietly shelved, their badges returned in silence. Quinn stepped into the stairwell. The air changed instantly, growing thick, heavy, and smelling faintly of ozone, old dust, and something sweet and rotting, like crushed lilies. Halfway down the stairs, Herrera stopped. He didn't turn around, but she could see the rigid line of his shoulders, the dark curly hair damp against his neck. A thin silver chain caught the stray beam of her flashlight—a Saint Christopher medallion resting against his chest. You’re a long way from the hospital, Herrera, Quinn called out, her voice hard, echoing sharply off the tiled walls. Tomás turned slowly. His chest heaved. He looked smaller down here, swallowed by the subterranean dark, the scar running jagged and pale along his left forearm stark against his damp sleeve. Detective Quinn, he said, his voice breathless, laced with a heavy Spanish cadence. You really shouldn't have followed me. Curiosity killed more than cats in this city. I make my own mortality, Tomás. Hand over whatever you’re carrying. We’re going back up. Herrera gave a bitter, exhausted laugh. Back up? To what? A city of blind people pretending the dark isn't full of teeth? You think you’re hunting criminals, Detective. You have no idea what kind of war you’re wandering into. I know enough. You’re aiding and abetting a cabal. And three years ago, a good man wore a badge just like mine and disappeared into your little world. Now, we can do this the hard way, where I put the cuffs on you right now, or you can give me the package and tell me what happened to DS Morris. At the mention of Morris, Herrera’s expression shifted from fear to profound pity. He took a slow step backward, descending deeper into the gloom, toward the rusted ticket barriers of the abandoned subterranean station where a faint, sickly violet glow pulsed from the platform below. You want to know about your partner? Tomás said softly, his hand dropping to the bundle beneath his arm. Then you’ll have to pay the toll. Because I’m not going back, and neither are you, unless you step past the threshold. Quinn tightened her grip on her flashlight, her thumb resting on the heavy metal casing. Beyond Herrera, the tunnel yawned wide, a labyrinth of forgotten tracks and shadowed arches where the rules of the surface world no longer applied. Her heart hammered against her ribs, a violent, metallic rhythm. Every instinct she possessed—every survival protocol drilled into her during her first week at the academy—screamed at her to turn around, to call for backup that would never arrive in time, to walk away from the abyss. Instead, Detective Quinn took one step down.
created_at"2026-07-25T14:40:45.345Z" 7/25/2026, 2:40:45 PM
model"google/gemini-3.5-flash-lite-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency340
moderation_latency(null)
generation_time7458
tokens_prompt888
tokens_completion1637
native_tokens_prompt852
native_tokens_completion1368
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"
usage0.0036756
router(null)
provider_responses
0
endpoint_id"6bd8f433-79e1-416c-b407-1772eb796c9a"
id"7cpkasP3GLPGjMcP5b2xMA"
is_byokfalse
latency340
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-1784990445-YCWjLT9YCKC8eeZAX7k7"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784990445-WwWI5gJqBRyluM2FtWuT"
upstream_id"7cpkasP3GLPGjMcP5b2xMA"
total_cost0.0036756
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
81.26% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1067
totalAiIsmAdverbs4
found
0
adverb"sharply"
count1
1
adverb"slowly"
count1
2
adverb"really"
count1
3
adverb"softly"
count1
highlights
0"sharply"
1"slowly"
2"really"
3"softly"
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)
25.02% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1067
totalAiIsms16
found
0
word"rhythmic"
count1
1
word"wavered"
count1
2
word"gloom"
count2
3
word"familiar"
count1
4
word"loomed"
count1
5
word"stark"
count2
6
word"echoing"
count2
7
word"framework"
count1
8
word"echoed"
count1
9
word"maw"
count1
10
word"silence"
count1
11
word"profound"
count1
12
word"pulsed"
count1
highlights
0"rhythmic"
1"wavered"
2"gloom"
3"familiar"
4"loomed"
5"stark"
6"echoing"
7"framework"
8"echoed"
9"maw"
10"silence"
11"profound"
12"pulsed"
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
narrationSentences74
matches
0"e with panic"
65.64% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount1
narrationSentences74
filterMatches
0"watch"
1"think"
2"know"
hedgeMatches
0"happened 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
maxSentenceWordsSeen39
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1061
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions1
matches
0"Detective Quinn, he said, his voice breathless, laced with a heavy Spanish cadence."
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions60
wordCount1061
uniqueNames24
maxNameDensity1.04
worstName"Herrera"
maxWindowNameDensity2.5
worstWindowName"You"
discoveredNames
Soho1
London3
Harlow1
Quinn10
Metropolitan1
Police2
Herrera11
Raven1
Nest1
Camden2
Morris3
West1
End1
North1
Victorian1
Underground1
Veil1
Market1
Saint1
Christopher1
Spanish1
Tomás4
Detective4
You6
persons
0"Harlow"
1"Quinn"
2"Police"
3"Herrera"
4"Raven"
5"Nest"
6"Morris"
7"Saint"
8"Christopher"
9"Tomás"
10"Detective"
11"You"
places
0"Soho"
1"London"
2"Camden"
3"West"
4"End"
5"North"
globalScore0.982
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences60
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1061
matches(empty)
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
totalParagraphs24
mean44.21
std24.17
cv0.547
sampleLengths
090
165
254
358
476
576
618
730
825
957
103
1165
1227
1346
1420
1531
1627
1715
1839
1960
2045
2141
2286
237
91.04% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences74
matches
0"was plastered"
1"was hunted"
2"been padlocked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs169
matches
0"wasn't stopping"
1"was running"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences4
totalSentences74
ratio0.054
matches
0"He clutched something tight against his chest—a small, dark package wrapped in heavy cloth."
1"He wrenched open a side maintenance door—one that should have been padlocked shut—and slipped into the pitch-black maw of the stairwell."
2"A thin silver chain caught the stray beam of her flashlight—a Saint Christopher medallion resting against his chest."
3"Every instinct she possessed—every survival protocol drilled into her during her first week at the academy—screamed at her to turn around, to call for backup that would never arrive in time, to walk away from the abyss."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1072
adjectiveStacks0
stackExamples(empty)
adverbCount27
adverbRatio0.025186567164179104
lyAdverbCount12
lyAdverbRatio0.011194029850746268
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
mean14.34
std8.67
cv0.605
sampleLengths
021
18
228
333
411
517
62
724
811
920
1021
1113
1220
1324
1414
1514
169
1722
1828
193
2020
2118
2217
2321
243
2515
2619
2711
284
2921
3015
3116
3226
333
3424
3521
365
3715
385
3922
406
4122
4218
4320
443
453
4625
4713
486
498
63.96% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.43243243243243246
totalSentences74
uniqueOpeners32
93.90% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences71
matches
0"Then you’ll have to pay"
1"Instead, Detective Quinn took one"
ratio0.028
62.25% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences71
matches
0"Her focus was absolute, honed"
1"Her closely cropped salt-and-pepper hair"
2"She checked her stride, her"
3"He carried himself like a"
4"He was cutting through the"
5"She tracked him with military"
6"He clutched something tight against"
7"She knew the clique Herrera"
8"She knew they dealt in"
9"She wanted answers."
10"He cut across a patch"
11"She slid down the muddy"
12"He wrenched open a side"
13"She pulled a heavy-duty flashlight"
14"He didn't turn around, but"
15"You’re a long way from"
16"His chest heaved."
17"He looked smaller down here,"
18"You really shouldn't have followed"
19"I make my own mortality,"
ratio0.394
44.51% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount59
totalSentences71
matches
0"The rain in Soho fell"
1"Detective Harlow Quinn did not"
2"Her focus was absolute, honed"
3"Her closely cropped salt-and-pepper hair"
4"She checked her stride, her"
5"The former NHS paramedic, stripped"
6"He carried himself like a"
7"Quinn rounded the corner, her"
8"The Raven’s Nest loomed to"
9"He was cutting through the"
10"She tracked him with military"
11"Herrera glanced over his shoulder"
12"He clutched something tight against"
13"Quinn broke into a hard"
14"She knew the clique Herrera"
15"She knew they dealt in"
16"She wanted answers."
17"The chase dragged them away"
18"The city grew quieter, the"
19"Herrera was running harder now,"
ratio0.831
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences71
matches
0"Now, we can do this"
1"Because I’m not going back,"
ratio0.028
68.45% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences48
technicalSentenceCount5
matches
0"The former NHS paramedic, stripped of his license for stitching up things that didn't bleed normal blood, was moving with a desperate, jerky cadence."
1"She knew they dealt in things that defied the coroner's manual, things that made her skin prickle with a deep, visceral unease."
2"Herrera was running harder now, his breath coming in ragged gasps that echoed off the damp brickwork."
3"He cut across a patch of overgrown wasteland, scrambling down a concrete embankment that dropped steeply toward the disused railway lines."
4"Quinn tightened her grip on her flashlight, her thumb resting on the heavy metal casing."
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
85.9787%