Run: 2026-07-25-01KYCVNWDX8HJNYW8AXG8EZ8MZ

Run Details

Duration:
24.6s
Cost:
$0.030738
Provider:
Google AI Studio

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <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> Continue the story using the following instructions: <instructions> 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. </instructions>

Model response

AI
Rain hammered the asphalt of Camden High Street, turning the gutters into rushing canals of filth. Neon signs bled crimson and emerald across the wet tarmac, smearing reflections over dark storefronts. Harlow Quinn drove her heels into the pavement, rounding a sharp corner past a closed bakery. Rain plastered her closely cropped salt-and-pepper hair to her forehead, dripping into her eyes. She wiped her brow with the back of a leather-gloved hand, never breaking her stride. Fifty yards ahead, a dark figure ducked behind a row of overflowing industrial bins. "Herrera! Stop!" Tomás Herrera glanced over his shoulder. The orange flare of a sodium streetlight caught his dark olive skin and the wide, white rings of his eyes. Wet dark curls hung in heavy ringlets around his ears. He hitched a heavy nylon duffel bag tighter against his chest, the strap pulling his jacket sleeve back to reveal a pale, jagged scar running down his left forearm. The silver Saint Christopher medallion around his neck swung violently against his collar, catching the dim light. He bolted down a narrow alleyway squeezed between a boarded-up music venue and a disused warehouse. Quinn rounded the corner, her tactical boots slapping loud against uneven cobbles. Water splashed up her trousers, soaking through the heavy canvas. She reached into her coat, her fingers brushing the cold, textured grip of her Glock. "Metropolitan Police! Stand down, Tomás!" Tomás slammed his weight against a corroded iron gate guarding a sunken maintenance entrance. The rusted chain holding the bars closed snapped with a brittle crack. He tumbled through, hitting the wet concrete hard before scrambling back to his feet. The dark mouth of the shaft swallowed him whole. Quinn slid to a halt at the iron threshold. She clicked on her tactical torch. The beam cut through swirling mist, illuminating a rickety iron spiral staircase winding down into absolute blackness. A faded enamel sign hung crookedly from a single rivet: *Camden Town Underground - Authorized Personnel Only*. The station had been sealed since the Blitz, erased from modern transport maps. She checked her left wrist. The second hand of her worn leather watch swept steadily past the twelve. 02:17 AM. The air rising from the shaft felt wrong. It carried no trace of wet earth or stagnant rainwater. Instead, a heavy, dry heat washed over her face, smelling of crushed cloves, hot copper, and ozone. From deep below came sounds that had no place beneath London pavement: the dull hum of a crowded square, the clatter of brass scales, and a sharp, hollow chime like silver struck against bone. Quinn unholstered her firearm, keeping it low against her thigh, and stepped onto the top spiral rung. The iron groaned beneath her weight. Rainwater dripped down through the surface grates above, tapping rhythmically against her shoulders. Step by step, she descended into the claustrophobic coil. The surface traffic noise died, smothered by miles of brick and packed clay, replaced by the rising murmur of the underground. At the bottom of the shaft, the spiral steps gave way to arched Victorian brickwork. Cracks webbed the vaulted ceiling, choked with pale fungus that oozed a faint bioluminescent green glow. Quinn crouched, sticking to the shadow of a massive support pillar. Ahead, the narrow maintenance tunnel opened into a cavernous, disused Tube platform. The iron rails were gone, replaced by a sunken pedestrian thoroughfare. Hundreds of hanging oil lanterns and flickering glass globes cast harsh amber light across a dense, chaotic labyrinth of canvas stalls, wooden carts, and iron counters. The Veil Market stretched out across the subterranean expanse. Sellers shouted in languages Quinn had never heard during eighteen years on the force. On a nearby table, rows of glass vials sparkled with iridescent fluids that shifted colors without a heat source. A tall merchant wrapped in heavy wool ribbons weighed gray powder on a set of bone scales while a hooded buyer slid a polished white token across the counter. Quinn pressed her back against the cool brick pillar. She raised her comms radio to her collar and clicked the press-to-talk button. Static hissed in her ear, hollow and dead. She tapped the screen of her police receiver; the signal bars remained completely blank. A sudden gap in the crowd revealed Tomás. He stood thirty yards down the platform, talking frantically to an old woman sitting behind a display of dried roots and polished brass needles. He held out his canvas duffel bag, unzipping the top to display the contents. The woman shook her head, pointing an elongated, thin finger toward the back arches of the station where the gloom swallowed the light entirely. Tomás zipped the bag, tucked his silver medallion under his collar, and pushed deeper into the dense crowd. Quinn drew a long, slow breath through her nose, feeling the heavy, metallic air fill her lungs. Her sharp jaw tightened. To step out onto that platform meant abandoning every standard operating procedure in the book. No backup, no radio, no legal jurisdiction. She looked back up the dark spiral staircase behind her, then shifted her gaze to Tomás's retreating back as he faded into the swirling crowd of the illegal market. Her fingers tightened around the grip of her pistol. She unfastened the retention strap on her holster, pulled her coat low over her badge, and took a step toward the edge of the shadow.
created_at"2026-07-25T14:43:13.483Z" 7/25/2026, 2:43:13 PM
model"google/gemini-3.6-flash-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1504
moderation_latency(null)
generation_time24505
tokens_prompt1104
tokens_completion2757
native_tokens_prompt1042
native_tokens_completion3890
native_tokens_completion_images0
native_tokens_reasoning2762
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"
usage0.030738
router(null)
provider_responses
0
endpoint_id"5d6d133d-a953-4781-a835-7ee76f4e1388"
id"gctkavjMIP_3jrEPyPzGoQM"
is_byokfalse
latency1503
model_permaslug"google/gemini-3.6-flash-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-1784990593-5iLyW1JYVIBvmP0ztKHU"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784990593-q6NZVxH7ZeKxbn2lTiSf"
upstream_id"gctkavjMIP_3jrEPyPzGoQM"
total_cost0.030738
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
94.43% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount897
totalAiIsmAdverbs1
found
0
adverb"completely"
count1
highlights
0"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)
72.13% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount897
totalAiIsms5
found
0
word"weight"
count2
1
word"chaotic"
count1
2
word"gloom"
count1
3
word"standard"
count1
highlights
0"weight"
1"chaotic"
2"gloom"
3"standard"
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
narrationSentences62
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences62
filterMatches
0"watch"
hedgeMatches(empty)
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
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords7
totalWords898
ratio0.008
matches
0"Camden Town Underground - Authorized Personnel Only"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions31
wordCount891
uniqueNames19
maxNameDensity0.9
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Camden2
High1
Street1
Quinn8
Herrera1
Saint1
Christopher1
Glock1
Town1
Underground1
Authorized1
Personnel1
Blitz1
London1
Victorian1
Tube1
Veil1
Market1
Tomás5
persons
0"Quinn"
1"Herrera"
2"Saint"
3"Christopher"
4"Underground"
5"Blitz"
6"Market"
7"Tomás"
places
0"Camden"
1"High"
2"Street"
3"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences59
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount898
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences64
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs26
mean34.54
std20.26
cv0.587
sampleLengths
031
145
214
32
482
516
637
75
849
962
1020
1135
1234
1317
1449
1531
1611
1749
189
1962
2044
2170
2218
2343
2429
2534
93.94% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences62
matches
0"been sealed"
1"were gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs136
matches(empty)
53.57% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount1
flaggedSentences2
totalSentences64
ratio0.031
matches
0"A faded enamel sign hung crookedly from a single rivet: *Camden Town Underground - Authorized Personnel Only*."
1"She tapped the screen of her police receiver; the signal bars remained completely blank."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount896
adjectiveStacks1
stackExamples
0"loud against uneven cobbles."
adverbCount15
adverbRatio0.016741071428571428
lyAdverbCount9
lyAdverbRatio0.010044642857142858
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences64
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences64
mean14.03
std6.7
cv0.477
sampleLengths
016
115
216
314
415
514
62
76
820
910
1029
1117
1216
1312
1410
1515
165
1714
1812
1914
209
219
226
2317
2417
2513
265
2713
282
298
3010
3117
3234
3317
346
3513
369
3721
3815
3916
4011
4112
4211
4326
449
4514
4619
4729
489
4913
76.56% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.46875
totalSentences64
uniqueOpeners30
54.64% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences61
matches
0"Instead, a heavy, dry heat"
ratio0.016
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount16
totalSentences61
matches
0"She wiped her brow with"
1"He hitched a heavy nylon"
2"He bolted down a narrow"
3"She reached into her coat,"
4"He tumbled through, hitting the"
5"She clicked on her tactical"
6"She checked her left wrist."
7"It carried no trace of"
8"She raised her comms radio"
9"She tapped the screen of"
10"He stood thirty yards down"
11"He held out his canvas"
12"Her sharp jaw tightened."
13"She looked back up the"
14"Her fingers tightened around the"
15"She unfastened the retention strap"
ratio0.262
50.16% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount50
totalSentences61
matches
0"Neon signs bled crimson and"
1"Harlow Quinn drove her heels"
2"Rain plastered her closely cropped"
3"She wiped her brow with"
4"Tomás Herrera glanced over his"
5"The orange flare of a"
6"He hitched a heavy nylon"
7"The silver Saint Christopher medallion"
8"He bolted down a narrow"
9"Quinn rounded the corner, her"
10"Water splashed up her trousers,"
11"She reached into her coat,"
12"Tomás slammed his weight against"
13"The rusted chain holding the"
14"He tumbled through, hitting the"
15"The dark mouth of the"
16"Quinn slid to a halt"
17"She clicked on her tactical"
18"The beam cut through swirling"
19"A faded enamel sign hung"
ratio0.82
81.97% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences61
matches
0"To step out onto that"
ratio0.016
96.27% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences46
technicalSentenceCount3
matches
0"From deep below came sounds that had no place beneath London pavement: the dull hum of a crowded square, the clatter of brass scales, and a sharp, hollow chime …"
1"Cracks webbed the vaulted ceiling, choked with pale fungus that oozed a faint bioluminescent green glow."
2"On a nearby table, rows of glass vials sparkled with iridescent fluids that shifted colors without a heat source."
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
92.2561%