Run: 2026-09-02-01M1HGD0H6PKZTW37GN4H2RTVK

Run Details

Duration:
17.0s
Cost:
$0.012005
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
The rain over Camden tore through the streetlights in blinding sheets, turning the asphalt into black glass. Water battered Detective Harlow Quinn’s face, soaking her cropped salt-and-pepper hair against her scalp, yet her eyes never left the figure sprinting forty yards ahead. Tomás Herrera ran like a hunted animal. He carried a heavy leather medical kit against his ribs, his sneakers skidding across the slick cobblestones of the canal path. Every three strides, the silver Saint Christopher medallion bounced outside his soaked shirt, catching the greasy amber glow of the bridge lamps. Quinn adjusted her grip on her sidearm beneath her waxed jacket. Her boots struck the pavement with rhythmic, measured force, years of military discipline asserting itself against burning lungs. The worn leather watch strap on her left wrist bit into her pulse. "Police! Halt and get on the ground!" Herrera cut left without looking back, diving between two rusted shipping containers stacked behind a shuttered garage. "You're making this worse, Herrera!" The rain muffled her shout, swallowed by the roar of the London storm drains. Quinn rounded the corner, her shoulder grazing the corrugated metal with a sharp metallic screech. Herrera stumbled, his hand hitting the wet brickwork of a railway viaduct to steady himself. The sleeve pulled back, exposing the jagged knife scar stretching across his olive forearm. He shoved himself off the wall and darted toward a construction hoarding secured with chain-link wire. "Quinn, turn back!" He gripped a loose section of the galvanized mesh, wrenching it wide enough to slip through. "You have no jurisdiction where I'm going!" "Stand down, or you take the pavement!" Quinn hit the gap a second later, tearing the sleeve of her coat against the raw wire. Pain flared along her bicep, sharp and cold, but she ignored it, vaulting a stack of rot-softened wooden pallets on the far side. They dropped into a sunken service yard behind the old Northern Line rail yards. Weeds choked the ballast stones between abandoned tracks. Rain pooled in rusted iron gutters overhead, dumping miniature waterfalls onto the debris below. Ahead, Herrera bolted straight for an unmarked emergency bulkhead built directly into the Camden hillside—an entrance to the long-sealed ghost station below the modern transit lines. A crowbar lay discarded by the door’s sheared padlock. Herrera threw the heavy iron hatch outward, the hinges groaning under a decade of rust, and vanished into the black mouth of the tunnel. Quinn reached the threshold, her breathing steadying as she drew her Glock. She thumbed the tactical light attached to the rail. The white beam speared the darkness, catching floating motes of dust and the wet, frantic footprints descending a flight of concrete stairs. "Herrera. One warning. I clear these steps, and you catch a charge for assaulting an officer!" His voice drifted up from the concrete guts of the station, hollow and fractured by the acoustics of the shaft. "You think this is about NHS drugs? Walk away, Detective. For your own sake, walk away before you see what Morris saw." The name struck Quinn like a physical blow. Her fingers tightened on the checkered grip of the firearm until her knuckles went stark white. DS Morris had walked into an empty alley three years ago, leaving behind a service weapon with six rounds fired into empty air and a pool of blood that never yielded DNA. "What did you say about Morris?" Silence answered. Only the slap of rubber soles against wet concrete echoed from below. Quinn stepped over the threshold, pulling the iron hatch until it clicked against its frame, preserving her only exit. She descended the stairs with measured steps, keeping her back flush to the curved, tiled wall. Faded cream and maroon ceramic patterns told her she had entered the abandoned Edwardian platforms. Damp air pressed against her skin, heavy and rank with the expected rot of stagnant water, yet underneath lay something entirely foreign: the sharp, stinging tang of crushed dried herbs, hot copper, and ozone. At the bottom of the flight, the corridor branched. To the left, a tunnel blocked by collapsed brickwork; to the right, a set of brass-framed turnstiles, long stripped of their mechanisms. A single lantern hung beyond the turnstiles, burning with a steady, purplish light that cast long, violet distortions across the ceiling. Herrera stood thirty feet down the corridor, his back pressed against a heavy timber door built directly into the subterranean subway tunnel. A burly man in an oilcloth duster blocked his path, fingers hooked into a wide leather belt lined with odd glass phials. The guard held out an open palm, scarred and blackened at the nails. "Price of admission, leech." Herrera fumbled inside his sodden jacket, his olive face pale in the chemical light. He produced a polished sliver of carved bone, scarcely larger than a domino, etched with runic markings that caught the purple lantern glow. "Three nights' passage. The usual." The guard snatched the token, rolled it between his thick fingers, and nodded once toward the timber door. "Enter. Keep your scalpel in your pocket unless summoned." Herrera lunged forward, throwing his weight against the timber door. It swung open on silent iron hinges, releasing a sudden, overwhelming wave of noise, light, and heat. Quinn stepped around the corner, bringing the weapon up, two hands locked, sight picture centered on Herrera’s back. "Metropolitan Police! Don't move!" The guard in the oilcloth coat turned slowly. His face looked carved from grey soapstone, completely devoid of surprise. His lips twitched into a flat, humorless line. "No tin stars past the threshold, officer. Turn around and take your rain back with you." Beyond the door frame, the abandoned tube platform stretched into an impossibly vast cavern. Rows of ramshackle stalls clung to the old train tracks and curved tunnel walls. Cages made of tarnished brass hummed with glowing moss; stone mortars ground dried roots into shimmering pastes; hooded figures exchanged lead coins and velvet-wrapped packages in hushed, sharp murmurs. The scent of sulfur, expensive oils, and charred animal fat rolled out like furnace heat against the chill Quinn carried from the London streets. Herrera paused on the threshold of the subterranean market, looking over his shoulder. The warmth of the stalls cut across his sharp jaw, illuminating the exhaustion etched into his features. "You cross this line, Quinn, and the badges don't protect you. Nothing you know works in here." Quinn took one slow step forward, the tactical light of her firearm slicing through the incense drifting out from the platform. The iron tang of Morris’s unsolved disappearance seemed to rise from the very stones beneath her feet. The guard lowered his hand toward the hilt of a curved iron blade sheathed at his hip, waiting for her weight to shift over the boundary.
created_at"2026-09-02T16:49:26.064Z" 9/2/2026, 4:49:26 PM
model"google/gemini-3.8-flash-20260902"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1539
moderation_latency(null)
generation_time16957
tokens_prompt1104
tokens_completion2396
native_tokens_prompt1042
native_tokens_completion2993
native_tokens_completion_images0
native_tokens_reasoning1531
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"
usage0.01200525
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788367766-CoSBtUGxxncJMWZY4FON"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788367766-dYigYTbUTxkUyOYtwVNX"
upstream_id"llOYasisCNmM_PUPprfN4A4"
provider_responses
0
endpoint_id"d376f781-516d-42f9-936d-46f19abca6cc"
id"llOYasisCNmM_PUPprfN4A4"
is_byokfalse
latency1539
model_permaslug"google/gemini-3.8-flash-20260902"
provider_name"Google AI Studio"
status200
total_cost0.01200525
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
86.76% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1133
totalAiIsmAdverbs3
found
0
adverb"slowly"
count1
1
adverb"completely"
count1
2
adverb"very"
count1
highlights
0"slowly"
1"completely"
2"very"
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)
33.80% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1133
totalAiIsms15
found
0
word"rhythmic"
count1
1
word"measured"
count2
2
word"pulse"
count1
3
word"fractured"
count1
4
word"stark"
count1
5
word"silence"
count1
6
word"echoed"
count1
7
word"etched"
count2
8
word"weight"
count2
9
word"velvet"
count1
10
word"chill"
count1
11
word"warmth"
count1
highlights
0"rhythmic"
1"measured"
2"pulse"
3"fractured"
4"stark"
5"silence"
6"echoed"
7"etched"
8"weight"
9"velvet"
10"chill"
11"warmth"
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
narrationSentences60
matches(empty)
95.24% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences60
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)
analyzedSentences74
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1132
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
totalMentions34
wordCount1004
uniqueNames13
maxNameDensity1
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Herrera"
discoveredNames
Camden2
Detective1
Harlow1
Quinn10
Herrera10
Saint1
Christopher1
London2
Northern1
Line1
Glock1
Morris2
Edwardian1
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Saint"
4"Christopher"
5"Morris"
places
0"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
wordCount1132
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
totalParagraphs41
mean27.61
std20.68
cv0.749
sampleLengths
042
150
242
37
417
55
629
745
83
916
107
117
1240
1362
1433
1543
1616
1720
1822
1956
206
2114
2284
2331
2421
2544
2613
274
2837
295
3018
319
3227
3318
344
3527
3616
3781
3830
3917
4064
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences60
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs157
matches(empty)
27.03% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount3
flaggedSentences3
totalSentences74
ratio0.041
matches
0"Ahead, Herrera bolted straight for an unmarked emergency bulkhead built directly into the Camden hillside—an entrance to the long-sealed ghost station below the modern transit lines."
1"To the left, a tunnel blocked by collapsed brickwork; to the right, a set of brass-framed turnstiles, long stripped of their mechanisms."
2"Cages made of tarnished brass hummed with glowing moss; stone mortars ground dried roots into shimmering pastes; hooded figures exchanged lead coins and velvet-wrapped packages in hushed, sharp murmurs."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1012
adjectiveStacks1
stackExamples
0"rot-softened wooden pallets"
adverbCount17
adverbRatio0.016798418972332016
lyAdverbCount10
lyAdverbRatio0.009881422924901186
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
mean15.3
std6.88
cv0.45
sampleLengths
017
125
27
321
422
511
618
713
87
917
105
1114
1215
1315
1414
1516
163
1716
187
197
2017
2123
2214
238
2414
2526
269
2724
2812
299
3022
3116
3220
3322
348
3516
3632
376
382
3912
4019
4116
4215
4334
449
4522
4621
4722
4822
4913
78.38% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.4864864864864865
totalSentences74
uniqueOpeners36
56.50% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences59
matches
0"Only the slap of rubber"
ratio0.017
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount13
totalSentences59
matches
0"He carried a heavy leather"
1"Her boots struck the pavement"
2"He shoved himself off the"
3"He gripped a loose section"
4"They dropped into a sunken"
5"She thumbed the tactical light"
6"His voice drifted up from"
7"Her fingers tightened on the"
8"She descended the stairs with"
9"He produced a polished sliver"
10"It swung open on silent"
11"His face looked carved from"
12"His lips twitched into a"
ratio0.22
27.80% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount51
totalSentences59
matches
0"The rain over Camden tore"
1"Water battered Detective Harlow Quinn’s"
2"Tomás Herrera ran like a"
3"He carried a heavy leather"
4"Every three strides, the silver"
5"Quinn adjusted her grip on"
6"Her boots struck the pavement"
7"The worn leather watch strap"
8"Herrera cut left without looking"
9"The rain muffled her shout,"
10"Quinn rounded the corner, her"
11"Herrera stumbled, his hand hitting"
12"The sleeve pulled back, exposing"
13"He shoved himself off the"
14"He gripped a loose section"
15"Quinn hit the gap a"
16"Pain flared along her bicep,"
17"They dropped into a sunken"
18"Weeds choked the ballast stones"
19"Rain pooled in rusted iron"
ratio0.864
84.75% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences59
matches
0"To the left, a tunnel"
ratio0.017
86.83% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences51
technicalSentenceCount4
matches
0"Water battered Detective Harlow Quinn’s face, soaking her cropped salt-and-pepper hair against her scalp, yet her eyes never left the figure sprinting forty yar…"
1"Quinn stepped over the threshold, pulling the iron hatch until it clicked against its frame, preserving her only exit."
2"He produced a polished sliver of carved bone, scarcely larger than a domino, etched with runic markings that caught the purple lantern glow."
3"Quinn took one slow step forward, the tactical light of her firearm slicing through the incense drifting out from the platform."
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
89.0361%