Run: 2026-07-25-01KYCW67CYBSA3J5MS9XSHNCDV

Run Details

Duration:
11.5s
Cost:
$0.011980
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 lashed the cobblestones of Camden, slicking the tarmac in streaks of neon red and sulfuric yellow. Detective Harlow Quinn adjusted the collar of her coat, rain dripping from the brim of her hat onto her nose. Her boots splashed through a puddle, shattering the reflection of a late-night kebab shop. Thirty yards ahead, Tomás Herrera broke into a sprint. His dark curl-topped head bobbed beneath the streetlights, his olive skin gleaming under the rain. He gripped a leather satchel tight against his ribs. "Stop right there, Herrera!" Harlow's voice cut through the downpour like a cracked whip. The suspect glanced over his shoulder. Warm brown eyes widened in panic. He ducked into a narrow alleyway flanked by overflowed industrial bins. Harlow pressed her hand against her holster, checking the leather strap. Her worn watch scraped against her wet cuff as her pace picked up. Eighteen years on the force taught her the rhythm of a foot chase, but Herrera moved with a desperate, jittery energy. He slipped through the gap between two brick walls, his left forearm bare where his jacket sleeve tore against a rusty drainage pipe. The jagged white line of an old knife scar flushed pink against his skin. Harlow skidded around the corner, her fingers grazing wet mortar. The alley dead-ended at a padlocked iron hatch set into the concrete floor—an old access point for the disused Northern Line tunnels. The heavy iron doors swung open, banging against the stone. A thick cloud of ozone, wet iron, and dried lavender billowed out into the cold night air. "Herrera! Step back up to the street!" A echo bounced back from the depths. Harlow reached the lip of the shaft and shone her heavy Maglite down the rusted iron rungs. The beam swallowed the darkness, illuminating a flash of dark curls as Herrera dropped into the gloom below. Harlow paused at the brink. Rain pooled around her boots, running in rivulets down the open hatch. Her partner's face flashed in her mind—Morris, dead on a cold slab three years ago with no mark on his body, his eyes frozen open in silent shock. The official report said heart failure. Harlow knew better. The stench rising from this hole matched the faint, unnatural perfume that had hung in Morris's apartment the night he died. She unclipped her flashlight, held her breath, and grabbed the top rung. The air grew warm and thick as she descended into the subterranean dark. Thirty feet down, her feet struck a platform of cracked yellow tile. The abandoned Tube station stretched out into a cavernous vault. The tracks were gone, replaced by a sunken pedestrian thoroughfare lit by floating, jarred globes of sickly green light. Dozens of stalls lined the old platform. Stalls built from salvaged drift oak, rusted subway cars, and sheets of corrugated tin. Hawkers shouted in dialects Harlow had never heard in her eighteen years in London—guttural, clicking tongues that made her teeth ache. Stacks of yellowed parchment, jars filled with pale swimming shapes, and wrought-iron cages holding creatures that twitched beneath velvet shrouds littered the tables. Harlow unholstered her Glock, keeping it low against her thigh. A tall figure wrapped in heavy wool turned toward her. The creature pulled back its hood, revealing a jawline far too long, skin the color of curdled milk, and eyes like polished jet. "You're out of bounds, copper," a voice hissed from a stall selling carved bone trinkets. Harlow ignored the murmur that rippled through the crowd. She kept her focus on the center aisle. Fifty feet away, Herrera wove through the throng of masked shoppers and cloaked peddlers. He reached into his coat, pulled out a flat piece of carved bone, and tossed it to a hulking figure guarding an archway labeled *Exit to Platform 2*. The brute caught the bone token, inspected it with a glowing eye, and stepped aside. Harlow surged forward, shoving a stallholder aside. A glass jar shattered on the floor, releasing a cloud of luminescent blue dust that hissed against her leather boots. "Metropolitan Police!" Harlow's voice bellowed, bouncing off the curved tiled ceiling. "Clear the way!" Nobody cleared the way. The crowd coalesced, closing ranks like a thick liquid. A woman with iridescent scales along her neck blocked the aisle, holding out a brass tray laden with smoking, dark vials. "Looking for a cure, Harlow Quinn?" The woman's voice sounded like dry leaves scraping across concrete. "Or a way to speak to the dead?" Harlow brought her weapon up, pointing it at the ceiling. "Out of my way!" The scaled woman laughed, a low rasp, but retreated a step. Harlow pressed through the tight knot of bodies, her sharp jaw clenched. The heat down here was stifling, smelling of copper, ancient dust, and something sickeningly sweet. Herrera disappeared through the archway into the darkness of the lower platform. Harlow reached the giant guard. He loomed over seven feet tall, broad as a brick wall, his face hidden behind a iron plate with three vertical slits. He extended a massive, leather-wrapped hand, palm up. "Token," the guard rumbled. The sound vibrated in Harlow's chest. "Police business. Move." "No bone, no pass." Harlow looked down at her watch. The second hand ticked with crisp, military precision. Out here, deep beneath Camden, her radio was dead. No back-up was coming. If she went through that archway, she was off the map, hunting a man who treated things that shouldn't exist, in a market that vanished with the moon. She met the iron-masked gaze of the guard. Slowly, she raised her left hand, unbuckling the worn leather watch her partner had given her a month before his death. She held it out. The guard tilted his head, the metal plate scraping against his collarbone. He reached out with two massive fingers, took the watch, and brought it to where an ear should be. The steady, mechanical *tick-tick-tick* echoed in the quiet space between them. The guard lowered his hand and gestured into the dark. Harlow didn't hesitate. She stepped through the archway, her thumb flicking the safety off her gun as she plunged deeper into the subterranean maze.
created_at"2026-07-25T14:52:09.469Z" 7/25/2026, 2:52:09 PM
model"google/gemini-3.6-flash-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency527
moderation_latency(null)
generation_time10909
tokens_prompt1104
tokens_completion1571
native_tokens_prompt1042
native_tokens_completion1389
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"default"
usage0.0119805
router(null)
provider_responses
0
endpoint_id"5d6d133d-a953-4781-a835-7ee76f4e1388"
id"mc1kasHqIsTSjMcPyf7kyAY"
is_byokfalse
latency527
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-1784991129-wCEBeaibEvYVAaNsXb0g"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784991129-gklxEBRfHFQdL7Xa32k5"
upstream_id"mc1kasHqIsTSjMcPyf7kyAY"
total_cost0.0119805
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
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences11
tagDensity0.455
leniency0.909
rawRatio0
effectiveRatio0
95.15% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1031
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"slowly"
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)
41.80% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1031
totalAiIsms12
found
0
word"gleaming"
count1
1
word"echo"
count1
2
word"depths"
count1
3
word"gloom"
count1
4
word"velvet"
count1
5
word"hulking"
count1
6
word"shattered"
count1
7
word"jaw clenched"
count1
8
word"loomed"
count1
9
word"vibrated"
count1
10
word"mechanical"
count1
11
word"echoed"
count1
highlights
0"gleaming"
1"echo"
2"depths"
3"gloom"
4"velvet"
5"hulking"
6"shattered"
7"jaw clenched"
8"loomed"
9"vibrated"
10"mechanical"
11"echoed"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"eyes widened/narrowed"
count1
1
label"jaw/fists clenched"
count1
highlights
0"eyes widened"
1"jaw clenched"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences77
matches
0"d in panic"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences77
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences83
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords5
totalWords1028
ratio0.005
matches
0"Exit to Platform 2" 2/1/2001, 12:00:00 AM
1"tick-tick-tick"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount981
uniqueNames13
maxNameDensity1.83
worstName"Harlow"
maxWindowNameDensity3.5
worstWindowName"Harlow"
discoveredNames
Camden2
Harlow18
Quinn1
Tomás1
Herrera5
Northern1
Line1
Maglite1
Morris2
Tube1
London1
Glock1
Platform1
persons
0"Camden"
1"Harlow"
2"Quinn"
3"Tomás"
4"Herrera"
5"Line"
6"Morris"
7"Glock"
places
0"London"
1"Platform"
globalScore0.583
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences69
glossingSentenceCount1
matches
0"sounded like dry leaves scraping across co"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1028
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences83
matches
0"through that archway"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs35
mean29.37
std21.08
cv0.718
sampleLengths
051
133
214
323
482
510
649
77
842
975
1012
1154
1265
1310
1433
1515
1659
1715
1827
1914
2034
2124
2210
234
2438
2512
2635
2710
283
294
3055
3133
3242
3310
3424
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences77
matches
0"were gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs166
matches
0"was stifling"
1"was coming"
39.59% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences3
totalSentences83
ratio0.036
matches
0"The alley dead-ended at a padlocked iron hatch set into the concrete floor—an old access point for the disused Northern Line tunnels."
1"Her partner's face flashed in her mind—Morris, dead on a cold slab three years ago with no mark on his body, his eyes frozen open in silent shock."
2"Hawkers shouted in dialects Harlow had never heard in her eighteen years in London—guttural, clicking tongues that made her teeth ache."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount991
adjectiveStacks1
stackExamples
0"massive, leather-wrapped hand,"
adverbCount10
adverbRatio0.010090817356205853
lyAdverbCount3
lyAdverbRatio0.0030272452068617556
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences83
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences83
mean12.39
std6.46
cv0.521
sampleLengths
017
120
214
39
415
59
614
76
86
911
1011
1113
1221
1323
1414
1510
1622
1710
1817
197
207
2117
2218
235
2412
2528
266
273
2821
2912
3013
3112
3210
3319
347
3514
3621
3723
3810
3910
4023
4115
429
438
4414
4528
4615
477
4820
4911
57.43% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.37349397590361444
totalSentences83
uniqueOpeners31
43.29% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences77
matches
0"Slowly, she raised her left"
ratio0.013
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount16
totalSentences77
matches
0"Her boots splashed through a"
1"His dark curl-topped head bobbed"
2"He gripped a leather satchel"
3"He ducked into a narrow"
4"Her worn watch scraped against"
5"He slipped through the gap"
6"Her partner's face flashed in"
7"She unclipped her flashlight, held"
8"She kept her focus on"
9"He reached into his coat,"
10"He loomed over seven feet"
11"He extended a massive, leather-wrapped"
12"She met the iron-masked gaze"
13"She held it out."
14"He reached out with two"
15"She stepped through the archway,"
ratio0.208
18.44% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount68
totalSentences77
matches
0"Rain lashed the cobblestones of"
1"Detective Harlow Quinn adjusted the"
2"Her boots splashed through a"
3"His dark curl-topped head bobbed"
4"He gripped a leather satchel"
5"Harlow's voice cut through the"
6"The suspect glanced over his"
7"He ducked into a narrow"
8"Harlow pressed her hand against"
9"Her worn watch scraped against"
10"He slipped through the gap"
11"The jagged white line of"
12"Harlow skidded around the corner,"
13"The alley dead-ended at a"
14"The heavy iron doors swung"
15"A thick cloud of ozone,"
16"A echo bounced back from"
17"Harlow reached the lip of"
18"The beam swallowed the darkness,"
19"Harlow paused at the brink."
ratio0.883
64.94% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences77
matches
0"If she went through that"
ratio0.013
83.33% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences48
technicalSentenceCount4
matches
0"The stench rising from this hole matched the faint, unnatural perfume that had hung in Morris's apartment the night he died."
1"Hawkers shouted in dialects Harlow had never heard in her eighteen years in London—guttural, clicking tongues that made her teeth ache."
2"Stacks of yellowed parchment, jars filled with pale swimming shapes, and wrought-iron cages holding creatures that twitched beneath velvet shrouds littered the …"
3"A glass jar shattered on the floor, releasing a cloud of luminescent blue dust that hissed against her leather boots."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount0
matches(empty)
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount2
fancyTags
0"a voice hissed (hiss)"
1"Harlow's voice bellowed (bellow)"
dialogueSentences11
tagDensity0.182
leniency0.364
rawRatio1
effectiveRatio0.364
81.8213%