Run: 2026-05-10-01KR93P26QXK5EPZNV14JFE3R3

Run Details

Duration:
7.8s
Cost:
$0.002342
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
Harlow Quinn’s boots slapped against the slick cobblestones of Soho, each strike echoing against the brickwork like a gunshot. Rain lashed at her face, icy needles stinging her eyes, but she ignored the burn. Ahead, a figure turned the corner near the green neon buzz of The Raven's Nest, moving with a fluid, unnatural grace that defied the weather. Tomás Herrera—the paramedic who knew too much, the man who vanished into corners of the city that didn't appear on any ordnance survey. Her hand drifted to her holster, the weight of the steel a cold anchor against her hip. She rounded the corner, heels sliding slightly on a discarded crate, and saw him. He didn't look back; he vaulted a chain-link fence shielding the entrance to an old, decommissioned ventilation shaft. He didn't climb. He flowed over it, a shadow merging with the black bile of the alleyway. She sprinted, her lungs burning, the salt-and-pepper hair plastered to her forehead. She slammed a palm against the fence, hauled her frame upward, and dropped into the dark on the other side. Dirt and rotted leaves cushioned the landing. Ahead, a series of rusted iron stairs spiraled downward into the bowels of the city, the air growing thick with the scent of ozone and wet copper. The trail led deep, passing the rotting skeletons of disused maintenance tunnels. Somewhere below, the rhythmic hum of the city above distorted into a low, vibrating thrum, the sound of a thousand illicit deals and forbidden exchanges. Where the hell are you going, Tomás? I can smell the rot on you. The stairs ended abruptly on a rusted catwalk overlooking a cavernous space. This was not the infrastructure of the London Underground. Below stretched the Veil Market. Flickering bioluminescent fungi lined the tunnel walls, casting a sickly violet glow over stalls piled high with curiosities that defied physics—bottles containing trapped lightning, daggers forged from solidified ash, and jars of humming teeth. Hooded figures milled through the crowd, their voices a discordant symphony of tongues that weren't meant for human ears. Harlow gripped the metal railing, her knuckles turning white. She spotted Tomás near a merchant draped in heavy, moth-eaten velvet. He looked entirely at ease, checking his Saint Christopher medallion as if it were a shield. He held a bone token pinched between his fingers, his movements measured, precise. The paramedic, the man who had supposedly lost his license for healing the impossible, stood at the threshold of the deep market, ready to disappear into the chaotic shadows of the underworld. I’m not letting you walk into that mess and bury the truth with you. She tracked his movement, her boots clicking softly on the metal grate. The air in the cavern pressurized, vibrating against her eardrums. A group of creatures with elongated, spindly limbs shifted near the entrance, their hollow eyes tracking her presence. They didn't breathe; they merely existed, statues carved from nightmares. The Market shifted, the tunnels behind the stalls folding like origami, changing the topology of the space every time she blinked. It wasn't just a location; it was a living, breathing parasite buried beneath the city. She looked down at her watch, the leather strap dark with rain. She remembered DS Morris, the empty space he left behind, the way the world seemed to tilt on its axis when the investigation went cold three years ago. If she followed Tomás into the thick of the market, she was stepping off the edge of the police report, into the territory that ate decoys and swallowed evidence whole. You think you can hide behind the shroud of these freaks and expect me to look away, don't you? She vaulted the railing, dropping ten feet onto a pile of discarded damp textiles. The thud was muffled, but the movement caught the attention of a merchant nearby, a creature with skin like cracked parchment. It hissed, a sound like dry leaves skittering across pavement, and gestured toward the shadows. Harlow didn't stop. She pushed through a crowd of cloaked figures, the air smelling of sulfur and burnt lavender. Tomás vanished behind a curtain of hanging chains that hummed with static electricity. She reached the threshold, her hand hovering in the air. The space beyond the chains didn't look like concrete or tile. It looked like a fracture in reality, a tear in the fabric of the night that shimmered with the intensity of a dying star. If she stepped through, the rules of the Metropolitan Police, the logic of evidence, and the cold comfort of her badge would mean nothing. She reached for the chains, her fingers brushing the cold, vibrating links. Every instinct she honed over eighteen years of service screamed at her to retreat, to call for backup that couldn't possibly understand, to retreat to the asphalt and the rain. Just one step, and there’s no coming back. She saw Tomás’s back through the shimmering gap, his silhouette flickering as if he were being rendered in low resolution. He was heading deeper, toward the central hub of the market where the air grew so heavy it made her vision blur at the edges. A stray spark leaped from the chains to her forearm, a stinging bite that left a faint, blackened mark against her skin. She didn't flinch. She pulled the chains aside, the metal clinking a dissonant, frantic rhythm against the walls. The heat radiating from the rift felt like fever, a dry, suffocating pressure that crowded her chest. Beyond the threshold, the tunnel walls warped, stone turning into something translucent and pulsing, like the interior of a giant lung. The noise escalated, a cacophony of whispers and snapping gears that gnawed at her composure. I’m done chasing shadows in the dark, Tomás. She took a single step forward, the floor beneath her shifting from solid ground to something that gave way like soft peat. The environment screamed of things not meant for the city above, a sensory overload of color and sound that defied mapping. She stood on the precipice of the unknown, the neon buzz of the surface world replaced by the electric crackle of a place governed by nothing but the hunger of the market. She looked at her watch again, the second hand stuttering, refusing to move forward as if time itself had decided to abandon her. She stepped further into the light, her hand tight on the grip of her weapon, the weightless terror of the unknown pulling at her lungs. She looked for the curly, dark hair of the paramedic, scanning the swirling silhouettes of the market-goers. You aren't making it to the next cycle, Herrera. Not today.
created_at"2026-05-10T14:11:59.327Z" 5/10/2026, 2:11:59 PM
model"google/gemini-3.1-flash-lite-20260507"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency491
moderation_latency(null)
generation_time7657
tokens_prompt1140
tokens_completion1696
native_tokens_prompt1042
native_tokens_completion1388
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"
usage0.0023425
router(null)
provider_responses
0
endpoint_id"237af107-d2e9-46c7-b146-c74d75980dee"
id"L5IAapewH9isz7IPku-p2Qk"
is_byokfalse
latency491
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-1778422319-rElLJUPles0g4xy2LJPe"
session_id(null)
api_type"completions"
id"gen-1778422319-QGktgxbLdSXzcg1n1zZQ"
upstream_id"L5IAapewH9isz7IPku-p2Qk"
total_cost0.0023425
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
totalTags0
91.02% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1114
totalAiIsmAdverbs2
found
0
adverb"slightly"
count1
1
adverb"softly"
count1
highlights
0"slightly"
1"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)
46.14% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1114
totalAiIsms12
found
0
word"echoing"
count1
1
word"weight"
count1
2
word"rhythmic"
count1
3
word"symphony"
count1
4
word"velvet"
count1
5
word"measured"
count1
6
word"chaotic"
count1
7
word"shimmered"
count1
8
word"intensity"
count1
9
word"cacophony"
count1
10
word"electric"
count1
11
word"scanning"
count1
highlights
0"echoing"
1"weight"
2"rhythmic"
3"symphony"
4"velvet"
5"measured"
6"chaotic"
7"shimmered"
8"intensity"
9"cacophony"
10"electric"
11"scanning"
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
narrationSentences68
matches(empty)
58.82% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount1
narrationSentences68
filterMatches
0"watch"
1"think"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences68
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1112
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount1112
uniqueNames16
maxNameDensity0.63
worstName"Tomás"
maxWindowNameDensity1
worstWindowName"Tomás"
discoveredNames
Quinn1
Soho1
Raven1
Nest1
Herrera2
Tomás7
London1
Underground1
Veil1
Market2
Saint1
Christopher1
Morris1
Metropolitan1
Police1
Harlow3
persons
0"Quinn"
1"Raven"
2"Nest"
3"Herrera"
4"Tomás"
5"Market"
6"Saint"
7"Christopher"
8"Morris"
9"Police"
10"Harlow"
places
0"Soho"
1"London"
globalScore1
windowScore1
70.63% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences63
glossingSentenceCount2
matches
0"looked like a fracture in reality, a tear"
1"felt like fever, a dry, suffocating pre"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1112
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences68
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs21
mean52.95
std29.82
cv0.563
sampleLengths
082
166
266
337
414
579
681
714
886
970
1019
1169
1282
1342
148
1585
1653
178
1898
1942
2011
94.94% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences68
matches
0"was muffled"
1"being rendered"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs179
matches
0"was stepping"
1"was heading"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount3
flaggedSentences5
totalSentences68
ratio0.074
matches
0"Tomás Herrera—the paramedic who knew too much, the man who vanished into corners of the city that didn't appear on any ordnance survey."
1"He didn't look back; he vaulted a chain-link fence shielding the entrance to an old, decommissioned ventilation shaft."
2"Flickering bioluminescent fungi lined the tunnel walls, casting a sickly violet glow over stalls piled high with curiosities that defied physics—bottles containing trapped lightning, daggers forged from solidified ash, and jars of humming teeth."
3"They didn't breathe; they merely existed, statues carved from nightmares."
4"It wasn't just a location; it was a living, breathing parasite buried beneath the city."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1119
adjectiveStacks1
stackExamples
0"heavy, moth-eaten velvet."
adverbCount25
adverbRatio0.022341376228775692
lyAdverbCount10
lyAdverbRatio0.008936550491510277
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences68
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences68
mean16.35
std7.58
cv0.464
sampleLengths
019
115
225
323
417
514
618
73
814
912
1020
117
1227
1312
1425
157
167
1712
189
195
2034
2119
229
2311
2416
2513
2632
2714
2812
2910
3018
3110
3221
3315
3412
3528
3630
3719
3814
3921
4015
413
4216
4313
4410
4511
4624
4724
4812
4930
48.04% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.36764705882352944
totalSentences68
uniqueOpeners25
99.50% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences67
matches
0"Somewhere below, the rhythmic hum"
1"Just one step, and there’s"
ratio0.03
11.04% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount35
totalSentences67
matches
0"Her hand drifted to her"
1"She rounded the corner, heels"
2"He didn't look back; he"
3"He didn't climb."
4"He flowed over it, a"
5"She sprinted, her lungs burning,"
6"She slammed a palm against"
7"I can smell the rot"
8"She spotted Tomás near a"
9"He looked entirely at ease,"
10"He held a bone token"
11"I’m not letting you walk"
12"She tracked his movement, her"
13"They didn't breathe; they merely"
14"It wasn't just a location;"
15"She looked down at her"
16"She remembered DS Morris, the"
17"You think you can hide"
18"She vaulted the railing, dropping"
19"It hissed, a sound like"
ratio0.522
42.09% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount56
totalSentences67
matches
0"Harlow Quinn’s boots slapped against"
1"Rain lashed at her face,"
2"Tomás Herrera—the paramedic who knew"
3"Her hand drifted to her"
4"She rounded the corner, heels"
5"He didn't look back; he"
6"He didn't climb."
7"He flowed over it, a"
8"She sprinted, her lungs burning,"
9"She slammed a palm against"
10"Dirt and rotted leaves cushioned"
11"The trail led deep, passing"
12"I can smell the rot"
13"The stairs ended abruptly on"
14"This was not the infrastructure"
15"Harlow gripped the metal railing,"
16"She spotted Tomás near a"
17"He looked entirely at ease,"
18"He held a bone token"
19"The paramedic, the man who"
ratio0.836
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences67
matches
0"If she followed Tomás into"
1"If she stepped through, the"
ratio0.03
12.99% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences55
technicalSentenceCount10
matches
0"Ahead, a figure turned the corner near the green neon buzz of The Raven's Nest, moving with a fluid, unnatural grace that defied the weather."
1"Flickering bioluminescent fungi lined the tunnel walls, casting a sickly violet glow over stalls piled high with curiosities that defied physics—bottles contain…"
2"Hooded figures milled through the crowd, their voices a discordant symphony of tongues that weren't meant for human ears."
3"He looked entirely at ease, checking his Saint Christopher medallion as if it were a shield."
4"The paramedic, the man who had supposedly lost his license for healing the impossible, stood at the threshold of the deep market, ready to disappear into the ch…"
5"If she followed Tomás into the thick of the market, she was stepping off the edge of the police report, into the territory that ate decoys and swallowed evidenc…"
6"She saw Tomás’s back through the shimmering gap, his silhouette flickering as if he were being rendered in low resolution."
7"The heat radiating from the rift felt like fever, a dry, suffocating pressure that crowded her chest."
8"The noise escalated, a cacophony of whispers and snapping gears that gnawed at her composure."
9"The environment screamed of things not meant for the city above, a sensory overload of color and sound that defied mapping."
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
82.3076%