Run: 2026-05-10-01KR92YG0YP2WDBXZB5TK8TQ4H

Run Details

Duration:
1m 22s
Cost:
$0.002352
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 a relentless, grey curtain, turning the pavement into a slick, obsidian mirror that distorted the glare of the streetlamps. Harlow Quinn rounded the corner of the alleyway, her boots hammering a rhythmic beat against the wet cobblestones. Ahead, a figure darted through the shifting shadows, his movements fluid and frantic. She didn’t need to see his face to know it was Tomás Herrera. The way he favored his left arm—a protective, defensive posture—gave him away every time. Harlow felt the familiar, cold weight of the worn leather watch on her left wrist, the ticking inside a steady heartbeat against her skin. She had been tracking Herrera for three days, ever since the quiet uptick in unregistered alchemical sales near the district. He wasn’t a killer, but he was a bridge, a man who traded his medical license and his conscience for access to things the Metropolitan Police didn't have a classification for yet. "Herrera! Stop!" she barked, her voice cutting through the hiss of the rain. Tomás didn't look back. He leaped over a stack of rusted refuse bins, his short, dark curls plastered to his forehead by the downpour. He was fast, driven by the kind of desperation she’d seen in men who knew exactly what was hunting them. Harlow pushed herself harder, her lungs burning with the sharp, metallic tang of cold air. She was forty-one, with eighteen years of service and a jawline that stayed set in a permanent ache of tension. She didn't chase criminals for the thrill; she chased them for the gaps in her own history, for the way the world refused to make sense since the night Morris died. They hit the main road, the traffic a blurry smear of red and white lights. Herrera veered sharply toward the shuttered entrance of the Camden station, ignoring a screeching black cab that veered to avoid him. Harlow followed, her hand hovering instinctively near her service weapon, though she knew lead rarely did much against the kind of people Herrera kept company with. He didn't head for the turnstiles. Instead, he ducked behind a rusted maintenance grate that lead into the bowels of the decommissioned Tube. Harlow skidded to a halt at the threshold, the air suddenly heavy with the smell of ozone and rot. A faint, bioluminescent glow pulsed deep within the tunnel, and she realized, with a sinking dread, where this lead. The Veil Market. She had heard the rumors in the station, whispers among the older officers about the places where the city’s shadow leaked into reality. She stepped inside, the rain trailing off her coat to pool on the dust-covered tiles. The descent was steep, the stairs echoing with a rhythmic, wet thrumming that sounded suspiciously like a massive, collective heartbeat. At the bottom of the long flight, the tunnel opened into a subterranean cavern that defied the geometry of the city above. Stalls carved from volcanic rock lined the platform, draped in silks that shimmered with an oily, unnatural iridescence. Creatures that moved with too many joints crouched in the corners, their eyes reflecting the dim light like shards of broken glass. Harlow pressed herself into the darkest recess of a support pillar, her eyes straining to find the olive-skinned medic. She caught a glimpse of him near a stall overflowing with glass jars filled with iridescent vapors. Herrera was haggling, his hand gripping the Saint Christopher medallion at his throat with a white-knuckled intensity. He looked frantic, his eyes wide and warm, darting toward the darkness of the tunnels beyond. Her training screamed at her to draw her weapon and call for backup, but she knew the radio would be dead down here. The air hummed with a static charge that made the hair on her arms stand up. This was a place of banned alchemy and secrets that left good men like Morris buried in unmarked graves. If she followed him into the heart of the Market, she was stepping off the map of her own life. Tomás pulled a small, jagged piece of bone from his pocket—a token, smooth and ivory—and pressed it into the hand of a hooded merchant. A gate of shifting, translucent energy rippled open behind the stall, leading into the deeper, uncharted arteries of the subterranean network. Harlow stepped out from the shadows, her presence immediately drawing predatory glances from the denizens of the market. She was the only human here, the only one wearing a badge under her lapel. "Herrera!" she shouted, her voice ringing out, flat and harsh against the unnatural hum of the cavern. Tomás spun around, his face bloodless. He saw her, and for a fleeting second, his expression shifted from panic to a profound, weary pity. He reached into his coat, and for a terrifying moment, Harlow thought he was drawing a weapon. Instead, he pulled out a small glass vial, his fingers trembling, and cast it onto the stone floor at his feet. A thick, violet smoke billowed upward, obscuring him completely. Harlow sprinted forward, ignoring the way the shadows seemed to lengthen and lean toward her as she passed. She reached the spot where he had stood, but the air was empty, smelling only of burned lavender and ozone. She stood at the edge of the energy gate, the light flickering against her salt-and-pepper hair, casting long, fractured shadows across her face. Beyond the gate, the path spiraled down into a darkness that felt pressurized, like the weight of the entire city hanging over her head. She could hear the muffled, discordant chanting of the market, the rustle of things that shouldn't exist, and the distinct, receding sound of Herrera’s footsteps. She had a choice. She could turn back, retreat to the rain-soaked streets of London, and write a report that would be buried in a drawer by someone who didn’t want to know the truth. She could go back to the safe, narrow confines of her own duty. Or, she could step through the gate and lose the only thing she had left: her certainty. Harlow looked down at her watch. The second hand was twitching, frozen in place against the dial. The silence of the machine told her everything she needed to know. The order of the world had already failed; it had folded three years ago. She took a breath, reached out, and stepped through the shimmering veil. As the cold, static prickle of the passage washed over her, the last sound she heard was the faint, rhythmic ticking of her watch suddenly struggling to resume its pace in the dark. She was no longer a detective in Soho. She was a woman in the belly of the beast, and she would not come back until she knew why Morris had been left behind.
created_at"2026-05-10T13:59:07.047Z" 5/10/2026, 1:59:07 PM
model"google/gemini-3.1-flash-lite-20260507"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency13993
moderation_latency(null)
generation_time81729
tokens_prompt914
tokens_completion1693
native_tokens_prompt852
native_tokens_completion1426
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"standard"
usage0.002352
router(null)
provider_responses
0
endpoint_id"237af107-d2e9-46c7-b146-c74d75980dee"
id"K48AauvQD8yhz7IPyNmpyQY"
is_byokfalse
latency13993
model_permaslug"google/gemini-3.1-flash-lite-20260507"
provider_name"Google AI Studio"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778421547-6rOazp6ngLJkHK461GjO"
session_id(null)
api_type"completions"
id"gen-1778421547-qUY8fhhRavrQVE0Dis7x"
upstream_id"K48AauvQD8yhz7IPyNmpyQY"
total_cost0.002352
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"
response_cache_source_id(null)

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
82.46% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1140
totalAiIsmAdverbs4
found
0
adverb"sharply"
count1
1
adverb"suddenly"
count2
2
adverb"completely"
count1
highlights
0"sharply"
1"suddenly"
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)
29.82% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1140
totalAiIsms16
found
0
word"rhythmic"
count3
1
word"familiar"
count1
2
word"weight"
count2
3
word"tension"
count1
4
word"pulsed"
count1
5
word"echoing"
count1
6
word"shimmered"
count1
7
word"intensity"
count1
8
word"fleeting"
count1
9
word"profound"
count1
10
word"fractured"
count1
11
word"footsteps"
count1
12
word"silence"
count1
highlights
0"rhythmic"
1"familiar"
2"weight"
3"tension"
4"pulsed"
5"echoing"
6"shimmered"
7"intensity"
8"fleeting"
9"profound"
10"fractured"
11"footsteps"
12"silence"
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
narrationSentences64
matches(empty)
53.57% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount1
narrationSentences64
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences64
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1136
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount1133
uniqueNames15
maxNameDensity0.88
worstName"Harlow"
maxWindowNameDensity1.5
worstWindowName"Harlow"
discoveredNames
Soho2
Quinn1
Tomás4
Herrera6
Metropolitan1
Police1
Morris3
Camden1
Tube1
Veil1
Market2
Saint1
Christopher1
Harlow10
London1
persons
0"Quinn"
1"Tomás"
2"Herrera"
3"Police"
4"Morris"
5"Saint"
6"Christopher"
7"Harlow"
places
0"Soho"
1"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences61
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1136
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences64
matches
0"grate that lead"
83.38% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs20
mean56.8
std25.1
cv0.442
sampleLengths
082
176
213
3110
462
561
63
758
862
969
1078
1145
1233
1317
1471
1561
1649
1765
1843
1978
99.78% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences64
matches
0"been left"
8.43% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs174
matches
0"was hunting"
1"was haggling"
2"was stepping"
3"was drawing"
4"was twitching"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount2
flaggedSentences4
totalSentences64
ratio0.063
matches
0"The way he favored his left arm—a protective, defensive posture—gave him away every time."
1"She didn't chase criminals for the thrill; she chased them for the gaps in her own history, for the way the world refused to make sense since the night Morris died."
2"Tomás pulled a small, jagged piece of bone from his pocket—a token, smooth and ivory—and pressed it into the hand of a hooded merchant."
3"The order of the world had already failed; it had folded three years ago."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1144
adjectiveStacks0
stackExamples(empty)
adverbCount26
adverbRatio0.022727272727272728
lyAdverbCount15
lyAdverbRatio0.013111888111888112
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences64
echoCount0
echoWords(empty)
87.99% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences64
mean17.75
std6.57
cv0.37
sampleLengths
024
118
213
313
414
524
620
732
813
94
1020
1120
1215
1320
1431
1515
1621
1726
186
1917
2019
2119
223
2323
2415
2520
2622
2718
2822
2919
3017
3117
3216
3323
3416
3519
3620
3724
3821
3918
4015
4117
426
4318
4417
4521
469
4718
4820
4923
32.81% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.296875
totalSentences64
uniqueOpeners19
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences64
matches
0"Instead, he ducked behind a"
1"Instead, he pulled out a"
ratio0.031
45.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences64
matches
0"She didn’t need to see"
1"She had been tracking Herrera"
2"He wasn’t a killer, but"
3"she barked, her voice cutting"
4"He leaped over a stack"
5"He was fast, driven by"
6"She was forty-one, with eighteen"
7"She didn't chase criminals for"
8"They hit the main road,"
9"He didn't head for the"
10"She had heard the rumors"
11"She stepped inside, the rain"
12"She caught a glimpse of"
13"He looked frantic, his eyes"
14"Her training screamed at her"
15"She was the only human"
16"she shouted, her voice ringing"
17"He saw her, and for"
18"He reached into his coat,"
19"She reached the spot where"
ratio0.438
22.50% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount56
totalSentences64
matches
0"The rain in Soho was"
1"Harlow Quinn rounded the corner"
2"She didn’t need to see"
3"The way he favored his"
4"Harlow felt the familiar, cold"
5"She had been tracking Herrera"
6"He wasn’t a killer, but"
7"she barked, her voice cutting"
8"Tomás didn't look back."
9"He leaped over a stack"
10"He was fast, driven by"
11"Harlow pushed herself harder, her"
12"She was forty-one, with eighteen"
13"She didn't chase criminals for"
14"They hit the main road,"
15"Herrera veered sharply toward the"
16"Harlow followed, her hand hovering"
17"He didn't head for the"
18"Harlow skidded to a halt"
19"A faint, bioluminescent glow pulsed"
ratio0.875
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences64
matches
0"If she followed him into"
1"Or, she could step through"
ratio0.031
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences54
technicalSentenceCount11
matches
0"The rain in Soho was a relentless, grey curtain, turning the pavement into a slick, obsidian mirror that distorted the glare of the streetlamps."
1"He wasn’t a killer, but he was a bridge, a man who traded his medical license and his conscience for access to things the Metropolitan Police didn't have a clas…"
2"She was forty-one, with eighteen years of service and a jawline that stayed set in a permanent ache of tension."
3"Herrera veered sharply toward the shuttered entrance of the Camden station, ignoring a screeching black cab that veered to avoid him."
4"The descent was steep, the stairs echoing with a rhythmic, wet thrumming that sounded suspiciously like a massive, collective heartbeat."
5"Stalls carved from volcanic rock lined the platform, draped in silks that shimmered with an oily, unnatural iridescence."
6"Creatures that moved with too many joints crouched in the corners, their eyes reflecting the dim light like shards of broken glass."
7"Herrera was haggling, his hand gripping the Saint Christopher medallion at his throat with a white-knuckled intensity."
8"Beyond the gate, the path spiraled down into a darkness that felt pressurized, like the weight of the entire city hanging over her head."
9"She could hear the muffled, discordant chanting of the market, the rustle of things that shouldn't exist, and the distinct, receding sound of Herrera’s footstep…"
10"She could turn back, retreat to the rain-soaked streets of London, and write a report that would be buried in a drawer by someone who didn’t want to know the tr…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount1
matches
0"she barked, her voice cutting through the hiss of the rain"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount2
fancyTags
0"she barked (bark)"
1"she shouted (shout)"
dialogueSentences2
tagDensity1
leniency1
rawRatio1
effectiveRatio1
71.5246%