Run: 2026-07-25-01KYCV0WAXE095HW3V5TFV4PW8

Run Details

Duration:
27.5s
Cost:
$0.035148
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 hit the asphalt like buckshot, shattering the neon glow of Camden High Street into jagged smears of red and green. Harlow Quinn sprinted across the flooded gutter, water surging over the leather of her boots. Thirty yards ahead, a dark jacket cut through the downpour, weaving around closed shopfronts and overturned rubbish bins. Quinn pushed past a drunken couple huddling under a takeaway awning. "Clear the pavement!" Her voice cut through the thunder, sharp and honed by eighteen years on the force. Ahead, Tomás Herrera skidded around a brick corner. Rain flattened his dark curls against his scalp. A silver Saint Christopher medallion flashed against his soaked collar, catching the white glare of an idling black cab. Quinn smoothed her stride, military precision dictating the rhythm of her lungs against the cold air. Salt-and-pepper hair plastered tightly across her skull. She reached for the radio clipped to her left shoulder, clicking the receiver with a wet thumb. "Control, Suspect zero-two heading south toward the lock. Requesting immediate tactical support." Static hissed through the small speaker, chewed to pieces by concrete and thick clouds. "Control, respond." Nothing came back. She dropped her hand, fingers settling on the textured grip of her holstered Glock. Tomás glanced over his shoulder. Olive skin gleamed beneath the streetlamps, his features tight with focus. A pale, jagged scar along his left forearm caught the light as he shoved open a rusted chain-link gate leading toward the subterranean railway arches. "Herrera! Stand down!" Tomás didn't break stride. He ducked into the shadow beneath the brick viaduct, his shoes spraying stagnant water against the mortar. Quinn rounded the gate, her shoulder glancing off the iron mesh with a heavy clang. The noise rattled down the narrow passage squeezed between two abandoned Victorian warehouses. The air altered immediately—thick with rotting river silt, wet iron, and a bitter, chemical sting that dried the back of her mouth. She checked her pace, boots striking gravel with quiet precision. Her brown eyes swept the dark alleyway. "There's nowhere to go, Tomás! The NHS won't cover you where you're running!" A sharp metallic clatter echoed near the dead end. Tomás stood beside a heavy iron storm hatch set flat into the cobblestones. He dropped a steel pry bar, his chest heaving under his coat as he cleared his throat. "You shouldn't have followed me, Detective!" "Step away from the grate!" Quinn drew her weapon, sweeping the sight picture up to lock directly on his chest. "Hands on your head. Knees to the stone." Tomás gripped the lip of the heavy iron hatch. Rain ran down his jawline, pooling on the Saint Christopher medal resting over his sternum. "You think this is standard contraband? You think I'm running drugs?" "I know three bodies ended up in the morgue with unauthorized surgical stitches made from silver thread. I know you were the last man to touch them." Tomás let out a breathless, hollow laugh. "I was keeping them from turning into something else!" He hauled the heavy iron hatch upward with a groan of stressed metal. A blast of dry, superheated air erupted from the dark shaft, carrying the thick aroma of ozone, crushed cloves, and burnt parchment. It roared like a furnace exhaust, defying the freezing rain hammering the alleyway. "Stay where you are!" "Go back to the precinct, Quinn. Forget my name. Forget what happened to Morris!" Quinn's finger tightened against the trigger guard. The breath hitched in her throat. "What did you say about Morris?" Tomás lowered his legs into the darkness, slipping down an unseen ladder. The iron hatch slammed shut behind him with a deafening crash that vibrated through the cobblestones. Quinn lunged forward, hitting the wet stone on one knee. She grabbed the rusted iron handle and yanked the hatch open again. The hot updraft hit her face, drying the rain on her cheeks in seconds. A spiral staircase carved directly into Victorian brickwork descended into total darkness. The echo of ringing boot heels drifted up from below, growing fainter by the second. She unhooked her tactical torch from her belt, snapping the beam on. The bright white light cut through the gloom, revealing spiraling iron steps coated in rust and weird, chalked symbols drawn along the mortar. Quinn glanced back down the rain-slicked alleyway. The city above felt distant, muffled by concrete and storm. Her left wrist throbbed beneath her coat; her worn leather watch ticked past midnight. Three years to the day since her partner died in an alley just like this, his body marked by things the coroner refused to put in the official report. She pressed the release catch on her Glock, checked the silver brass of the top round in the magazine, and slapped it back into the handle with a hard strike of her palm. She swung her legs over the threshold and began her descent. The air grew heavier with every step down, ten feet, thirty feet below Camden High Street. The sound of the rain died completely, replaced by a low, rhythmic thrumming that vibrated through the soles of her boots. The stairs ended at a broad archway marked with the faded, flaking roundel of an abandoned London Underground station. Red paint peeled from the curved walls in long scabs. But beyond the broken iron turnstiles, light flickered—amber, flickering light from oil braziers and hanging lanterns. Voices echoed through the vaulted tunnels. Hissing, rhythmic bargaining in languages that made a dull ache bloom behind her temples. Quinn dropped into a low crouch behind a cracked tile pillar, her torch switched off, relying on the ambient firelight. Before her stretched the tiled platform of the dead Tube station, transformed into a crowded, subterranean market. Stalls built from salvaged train doors and copper wire lined the dry rails. Figures wrapped in heavy silks, oiled leather, and dark cloaks moved through drifting plumes of purple smoke. Glass jars shimmering with iridescent liquids rested on velvet cloths. Iron cages rattled as hidden things shifted within the shadows. At the far end of the platform, Tomás pushed through the crowd, ducking beneath a canopy woven from yellowed bone beads. Quinn raised her weapon slightly, her heart hammering against her ribs. She was entirely off the grid. No radio signal could pierce this concrete vault. No backup was coming down that ladder. Her Met Police badge meant nothing down here, surrounded by stalls selling forbidden alchemy and secrets written in blood. She looked back at the iron ladder leading up to the cold, sensible rain of London. Then she looked forward, tracing the outline of the silver medallion vanishing into the purple smoke. Quinn gripped her firearm with both hands, stepped out from the shadow of the tile pillar, and crossed the line into the Veil Market.
created_at"2026-07-25T14:31:45.255Z" 7/25/2026, 2:31:45 PM
model"google/gemini-3.6-flash-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1576
moderation_latency(null)
generation_time27445
tokens_prompt1104
tokens_completion3127
native_tokens_prompt1042
native_tokens_completion4478
native_tokens_completion_images0
native_tokens_reasoning3020
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"
usage0.035148
router(null)
provider_responses
0
endpoint_id"5d6d133d-a953-4781-a835-7ee76f4e1388"
id"0chkaq24Fri_jMcPtrO0yQ8"
is_byokfalse
latency1576
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-1784989905-kEdGjQHY08U6m2Gd2MUI"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784989905-pVOQ2Ic6FWtoEqY0cYem"
upstream_id"0chkaq24Fri_jMcPtrO0yQ8"
total_cost0.035148
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
86.76% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1133
totalAiIsmAdverbs3
found
0
adverb"tightly"
count1
1
adverb"completely"
count1
2
adverb"slightly"
count1
highlights
0"tightly"
1"completely"
2"slightly"
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)
42.63% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1133
totalAiIsms13
found
0
word"echoed"
count2
1
word"standard"
count1
2
word"vibrated"
count2
3
word"echo"
count1
4
word"gloom"
count1
5
word"throbbed"
count1
6
word"rhythmic"
count2
7
word"flickered"
count1
8
word"velvet"
count1
9
word"tracing"
count1
highlights
0"echoed"
1"standard"
2"vibrated"
3"echo"
4"gloom"
5"throbbed"
6"rhythmic"
7"flickered"
8"velvet"
9"tracing"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"let out a breath"
count1
highlights
0"let out a breath"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences73
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences73
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences87
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
totalWords1131
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
95.44% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions45
wordCount1008
uniqueNames18
maxNameDensity1.09
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Tomás"
discoveredNames
Camden2
High2
Street2
Quinn11
Tomás8
Herrera1
Saint2
Christopher2
Glock2
Victorian2
London2
Underground1
Tube1
Met1
Police1
Veil1
Market1
Rain3
persons
0"Quinn"
1"Tomás"
2"Herrera"
3"Saint"
4"Christopher"
5"Glock"
6"Rain"
places
0"Camden"
1"High"
2"Street"
3"Victorian"
4"London"
5"Veil"
globalScore0.954
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences70
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1131
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences87
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs46
mean24.59
std17.05
cv0.694
sampleLengths
054
111
23
350
440
512
614
72
817
941
103
1121
1250
1317
1413
1539
166
175
1815
198
2024
2111
2227
237
249
2548
264
2714
2813
296
3028
3136
3227
3335
3460
3533
3611
3737
3845
3920
4020
4167
4221
4351
4432
4524
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences73
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs161
matches
0"was coming"
44.33% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount1
flaggedSentences3
totalSentences87
ratio0.034
matches
0"The air altered immediately—thick with rotting river silt, wet iron, and a bitter, chemical sting that dried the back of her mouth."
1"Her left wrist throbbed beneath her coat; her worn leather watch ticked past midnight."
2"But beyond the broken iron turnstiles, light flickered—amber, flickering light from oil braziers and hanging lanterns."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1014
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.01972386587771203
lyAdverbCount7
lyAdverbRatio0.006903353057199211
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences87
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences87
mean13
std6.17
cv0.475
sampleLengths
021
115
218
311
43
515
68
78
819
916
107
1117
1212
1314
142
153
1614
175
1811
1925
203
214
2217
2315
2413
2522
2610
277
2813
299
3013
3117
326
335
3415
358
369
3715
3811
3927
407
419
4213
4322
4413
454
4614
477
486
496
70.88% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.45977011494252873
totalSentences87
uniqueOpeners40
45.66% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences73
matches
0"Then she looked forward, tracing"
ratio0.014
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences73
matches
0"Her voice cut through the"
1"She reached for the radio"
2"She dropped her hand, fingers"
3"He ducked into the shadow"
4"She checked her pace, boots"
5"Her brown eyes swept the"
6"He dropped a steel pry"
7"He hauled the heavy iron"
8"It roared like a furnace"
9"She grabbed the rusted iron"
10"She unhooked her tactical torch"
11"Her left wrist throbbed beneath"
12"She pressed the release catch"
13"She swung her legs over"
14"She was entirely off the"
15"Her Met Police badge meant"
16"She looked back at the"
ratio0.233
42.19% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount61
totalSentences73
matches
0"Harlow Quinn sprinted across the"
1"Quinn pushed past a drunken"
2"Her voice cut through the"
3"Rain flattened his dark curls"
4"A silver Saint Christopher medallion"
5"Quinn smoothed her stride, military"
6"Salt-and-pepper hair plastered tightly across"
7"She reached for the radio"
8"Static hissed through the small"
9"Nothing came back."
10"She dropped her hand, fingers"
11"Tomás glanced over his shoulder."
12"Olive skin gleamed beneath the"
13"A pale, jagged scar along"
14"Tomás didn't break stride."
15"He ducked into the shadow"
16"Quinn rounded the gate, her"
17"The noise rattled down the"
18"The air altered immediately—thick with"
19"She checked her pace, boots"
ratio0.836
68.49% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences73
matches
0"Before her stretched the tiled"
ratio0.014
91.84% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences56
technicalSentenceCount4
matches
0"The air altered immediately—thick with rotting river silt, wet iron, and a bitter, chemical sting that dried the back of her mouth."
1"The iron hatch slammed shut behind him with a deafening crash that vibrated through the cobblestones."
2"The sound of the rain died completely, replaced by a low, rhythmic thrumming that vibrated through the soles of her boots."
3"Hissing, rhythmic bargaining in languages that made a dull ache bloom behind her temples."
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
89.6076%