Run: 2026-05-20-01KS25SS1ZJH7VCQFEMSEHPAPV

Run Details

Duration:
10.5s
Cost:
$0.015144
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 needle-stabbed Harlow’s face, washing the grime of Soho down her collar. Her boots struck the slick asphalt in rhythm with the thump of her heart. Fifty yards ahead, the silhouette of Tomás Herrera flickered under the dying amber glow of a streetlamp. He didn't run like a criminal. He ran like a man who knew the anatomy of the streets, his stride long and practiced, dodging discarded crates and overflowing rubbish bins with fluid grace. "Stop, Herrera!" Harlow’s voice cut through the downpour, swallowed instantly by the rumble of distant city traffic. She swiped a wet strand of salt-and-pepper hair from her eyes. Her left hand clamped over the worn leather strap of her watch, a nervous tic she hadn't broken since Morris died. Three years of chasing ghosts had brought her to this concrete labyrinth tonight. Tomás veered left, his heavy coat billowing behind him. He vanished down a narrow alleyway wedged between a shuttered butcher shop and a crumbling brick tenement. Harlow reached the corner, her fingers scraping the wet brick as she swung himself around the bend. She drew her baton, the metal telescoping out with a sharp click. The alley was a dead end. Empty. A puddle rippled near the back wall. Harlow stepped closer, her gaze tracking a trail of muddy boot prints that ended abruptly at a rusted iron grate leading into the belly of Camden's old utility network. The padlock lay on the ground, sheared clean through. She peered down into the throat of the shaft. A cold, metallic draft carrying the scent of ozone and rotting copper drifted up to meet her. Harlow hesitated, her thumb tracing the rim of her watch. Inside these dark channels lay the answers to Morris’s final hours, the hidden rot she had sensed but could never prove. Down there, her Metropolitan Police badge carried no weight. She gripped the ladder rungs and descended into the dark. The shaft opened into a disused Victorian sewer line, the brickwork arches covered in thick black moss. Water rushed along a central channel, a murky torrent that amplified the echoing drip of the ceiling. Farther down the tunnel, a pale green light pulsed against the damp stone. Harlow kept her back to the wall, sliding through the shadows. The air grew thick, pressing against her lungs with an unnatural heat. The scent changed, shifting from stagnant water to burning sage, dried blood, and sulfur. She rounded a massive brick buttress and stopped. The abandoned Tube station had transformed. Hanging glass lanterns cast flickering violet and crimson shadows across a bustling subterranean bazaar. Figures in heavy cloaks bargained over glass jars filled with iridescent liquids. On wooden tables, dried roots shaped like screaming faces lay next to tarnished silver blades and jars of ash. A tall man with a scarred jaw bartered with a vendor, exchanging a small, polished femur for a vial of deep blue liquid. The bone token disappeared into the vendor’s grease-stained pocket. This was the Vel Market. A myth whispered in the back of police transport vans, a place Morris had scrawled in the margins of his final pocketbook. Twenty paces ahead, Tomás stood before a stall draped in velvet. He handed a leather pouch to an ancient woman whose eyes were clouded over with thick white cataracts. Harlow stepped from the shadow of the brick archway, her hand dropping to the holster at her hip. "The NHS doesn't operate down here, Herrera." The market seemed to freeze. The low murmur of a hundred hushed transactions died instantly. Dozens of cowled heads turned toward her, their gazes heavy and hostile. Tomás stiffened, his olive skin pale under the violet lanterns. Slowly, he turned around, keeping his hands empty and raised at chest height. A silver Saint Christopher medallion slid out from under his damp collar, catching the dim light. "You shouldn't have followed me, Detective Quinn." "You lost your license for a reason." Harlow advanced, her boots clicking softly on the damp concrete platform. "Illegal distribution of medical supplies. Breaking and entering. Assaulting an officer when you ran." Tomás let out a soft, humorless laugh, his Spanish accent thick in the humid air. "I didn't assault anyone. I ran because you don't understand the rules of this place. If they realize you are a copper, we both leave here in jars." "I don't care about their jars." Harlow closed the distance, her eyes locked on his left forearm, where a thick, jagged scar peeked through his rolled-up sleeve. "I care about the fire that killed Morris. You signed the transport papers for the body before it vanished from the morgue." A murmur rippled through the surrounding crowd. A large, cloaked figure wielding an iron cleaver stepped into the path between Harlow and Tomás. "No mundanes," the brute rumbled, his voice sounding like grinding stones. "No law. She has no token." Tomás stepped laterally, putting himself slightly between Harlow and the vendor. He reached into his coat pocket with excruciating slowness, pulling out a second bone token, this one carved with delicate, geometric grooves. "She is with me," Tomás said, tossing the bone to the brute. "An assistant. New to the trade." The brute caught the token in his massive leather gloved hand, tasted the bone with a grey, tongue, and spat on the floor. He stepped back into the shadows, though his hand never left the hilt of his cleaver. "You're coming with me," Harlow whispered, her voice tight, though she kept her weapon lowered to avoid provoking the crowd. "We walk out of here together, or I call in a tactical sweep." "Go ahead," Tomás said, gesturing to the vaulted brick ceiling. "We are eighty feet beneath the pavement, surrounded by iron and lead. Your radio is dead, Quinn. Your badge is just a piece of tin. The people here don't fear the Met. They fear the things I treat." "Is that why you're here? Trading stolen goods for magic potions?" "I save lives." Tomás pointed to the velvet-draped table behind him, where three vials of thick black fluid sat in a wooden rack. "The things that hunt in London leave wounds that don't heal with penicillin. If I don't buy these salts tonight, a girl in Soho dies before sunrise." "I don't believe in fairy tales." "You didn't believe in them three years ago either," Tomás said, his warm brown eyes reflecting the dim violet lights of the market. "But you still wear Morris's watch. You still look at the sky every time the sirens wail, hoping to see what took him." Harlow's grip on her baton tightened until her knuckles turned white. "Don't talk about him." "Then let me do my job," Tomás said, taking a step toward the merchant and picking up the blue vials. "And maybe I'll tell you what really happened the night the sky turned red over the Thames."
created_at"2026-05-20T07:49:58.989Z" 5/20/2026, 7:49:58 AM
model"google/gemini-3.5-flash-20260519"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency855
moderation_latency(null)
generation_time10429
tokens_prompt1140
tokens_completion1775
native_tokens_prompt1042
native_tokens_completion1509
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"
usage0.015144
router(null)
provider_responses
0
endpoint_id"bd50061c-e1d8-469e-96b1-d322e77378f8"
id"p2cNavOuCJyG1MkPxf-7sQ0"
is_byokfalse
latency855
model_permaslug"google/gemini-3.5-flash-20260519"
provider_name"Google AI Studio"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.15.0; linux; x64))"
http_referer(null)
request_id"req-1779263398-8mCZ4GX3OUHiIixiGBgr"
session_id(null)
api_type"completions"
id"gen-1779263398-gXjuOA5H6HVqGmahCCWk"
upstream_id"p2cNavOuCJyG1MkPxf-7sQ0"
total_cost0.015144
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
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences25
tagDensity0.36
leniency0.72
rawRatio0
effectiveRatio0
82.61% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1150
totalAiIsmAdverbs4
found
0
adverb"slowly"
count1
1
adverb"softly"
count1
2
adverb"slightly"
count1
3
adverb"really"
count1
highlights
0"slowly"
1"softly"
2"slightly"
3"really"
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)
69.57% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1150
totalAiIsms7
found
0
word"flickered"
count1
1
word"tracing"
count1
2
word"weight"
count1
3
word"echoing"
count1
4
word"pulsed"
count1
5
word"velvet"
count2
highlights
0"flickered"
1"tracing"
2"weight"
3"echoing"
4"pulsed"
5"velvet"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"knuckles turned white"
count1
highlights
0"knuckles turned white"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences65
matches(empty)
76.92% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences65
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)
analyzedSentences81
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen38
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1150
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions40
wordCount876
uniqueNames15
maxNameDensity1.48
worstName"Harlow"
maxWindowNameDensity3.5
worstWindowName"Tomás"
discoveredNames
Harlow13
Soho1
Tomás12
Herrera1
Morris3
Camden1
Metropolitan1
Police1
Victorian1
Tube1
Vel1
Market1
Saint1
Christopher1
Spanish1
persons
0"Harlow"
1"Tomás"
2"Herrera"
3"Morris"
4"Camden"
5"Police"
6"Market"
7"Saint"
8"Christopher"
places
0"Soho"
globalScore0.758
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences62
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1150
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences81
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs39
mean29.49
std16.37
cv0.555
sampleLengths
043
133
22
360
426
536
645
766
810
947
1037
118
1251
1332
1427
1529
1618
177
1827
1939
207
2132
2215
2328
2449
2523
2617
2733
2818
2939
3033
3148
3211
3350
346
3546
3611
374
3837
99.87% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences65
matches
0"were clouded"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs142
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences81
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount882
adjectiveStacks1
stackExamples
0"thick, pressing against her"
adverbCount17
adverbRatio0.01927437641723356
lyAdverbCount8
lyAdverbRatio0.009070294784580499
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences81
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences81
mean14.2
std6.94
cv0.489
sampleLengths
012
114
217
36
427
52
615
711
821
913
109
1117
1217
1312
146
151
167
1729
189
199
2017
2110
2221
239
2410
2517
2617
2713
2811
2912
3014
318
326
3314
3412
3519
3623
379
385
3922
4011
4118
4218
437
445
4510
4612
4710
4813
4916
60.91% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.43209876543209874
totalSentences81
uniqueOpeners35
52.08% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences64
matches
0"Slowly, he turned around, keeping"
ratio0.016
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount13
totalSentences64
matches
0"Her boots struck the slick"
1"He didn't run like a"
2"He ran like a man"
3"She swiped a wet strand"
4"Her left hand clamped over"
5"He vanished down a narrow"
6"She drew her baton, the"
7"She peered down into the"
8"She gripped the ladder rungs"
9"She rounded a massive brick"
10"He handed a leather pouch"
11"He reached into his coat"
12"He stepped back into the"
ratio0.203
38.13% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount54
totalSentences64
matches
0"Her boots struck the slick"
1"He didn't run like a"
2"He ran like a man"
3"Harlow’s voice cut through the"
4"She swiped a wet strand"
5"Her left hand clamped over"
6"Tomás veered left, his heavy"
7"He vanished down a narrow"
8"Harlow reached the corner, her"
9"She drew her baton, the"
10"The alley was a dead"
11"A puddle rippled near the"
12"Harlow stepped closer, her gaze"
13"The padlock lay on the"
14"She peered down into the"
15"A cold, metallic draft carrying"
16"Harlow hesitated, her thumb tracing"
17"She gripped the ladder rungs"
18"The shaft opened into a"
19"Water rushed along a central"
ratio0.844
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences64
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences43
technicalSentenceCount1
matches
0"He ran like a man who knew the anatomy of the streets, his stride long and practiced, dodging discarded crates and overflowing rubbish bins with fluid grace."
13.89% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount2
matches
0"Harlow advanced, her boots clicking softly on the damp concrete platform"
1"the brute rumbled, his voice sounding like grinding stones"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount1
fancyTags
0"Harlow whispered (whisper)"
dialogueSentences25
tagDensity0.2
leniency0.4
rawRatio0.2
effectiveRatio0.08
84.5988%