Run: 2026-03-03-01KJTYR9R9N36Y1FRTJ7XRCAK6

Run Details

Duration:
4m 49s
Cost:
$0.004280
Provider:
Seed

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 bit through Quinn’s trench coat collar, cold enough to make her closely cropped salt-and-pepper hair stick to the sharp line of her jaw. Her left wrist’s worn leather watch strap squelched with every step, water pooling in the creases of the faded black leather. She held her pace with military precision, no wasted movement, even as the wet pavement sloshed around her scuffed police boots. Two blocks back, she’d spotted him slipping out of the Raven’s Nest, the Soho bar lined with old maps and black-and-white photos that she’d been staking out for three weeks, and she’d committed to the chase before she’d even thought about the storm that had rolled in off the Thames. A taxi honked a sharp curse as it rounded the corner, spraying a wall of dirty water across the sidewalk. Quinn flinched only slightly, her eyes never leaving the olive-skinned man ahead. She recognized him before the rain blurred his features beyond recognition: Tomás Herrera, 29, the thin silvery scar snaking along his left forearm even visible through the damp leather of his jacket. His Saint Christopher medallion peeked out from the open collar of his flannel shirt, the metal tarnished and streaked with rain. He hauled a frayed canvas slung bag slapping against his thighs, and she could hear the faint slosh of liquid inside every time his legs picked up speed. She’d been tailing him for three weeks, piecing together his role in the clique she was convinced was running London’s underground supernatural black market. He’d lost his NHS paramedic license two years prior, after administering unapproved IV treatments to a teenager who’d been hurt in a supernatural gang fight—something Quinn had only found out about when the teenager’s mother had filed a complaint that had led back to Herrera’s off-the-books clinic. Since then, he’d been the clique’s on-call medic, but the intel she’d picked up last night suggested he’d also started moving banned alchemical substances out of the market to his crew. The chase twisted down a narrow alley off Old Compton Street, the brick walls oozing water onto her shoulders. Tomás darted through a gap in a rusted chain-link fence at the alley’s end, and Quinn followed, her baton clicking against her belt as she squeezed through the narrow opening. Beyond the fence was an overgrown patch of weeds, leading to a crumbling concrete stairwell, half-hidden by ivy, leading down into darkness. Herrera paused at the top of the stairs, fumbling in his jacket pocket before pulling out a small, chipped white bone—femur, she thought, based on the size—and pressed it to a rusted metal plate set into the concrete wall beside the stairs. The metal grumbled, sliding inward to reveal a narrow, dripping tunnel, and Herrera did not hesitate before descending, his boots thudding against the stone steps. Quinn froze halfway through the next breath. She’d seen that bone token before. Three years ago, DS Morris had handed her a crumpled photo of a matching fragment, found half-buried in a puddle of rainwater outside an abandoned East London warehouse. He’d called her that night, voice tight, saying they’d stumbled onto something no cop should have to see. She’d told him to hurry up, to meet her back at the station with whatever he’d found. He never did. His body was never found. She’d spent every day since then digging into supernatural circles in London, chasing every lead that might lead to whatever had taken Morris, and this was the first time she’d found something that matched the crime scene evidence. But now she was standing at the top of a hidden stairwell, rain dripping off the brim of her trench coat onto the stone below, staring into a tunnel that led into a world she didn’t understand. A world that had killed her partner. She raised her left wrist, checking her watch—quarter past one a.m. The full moon had risen an hour ago, casting a pale silver glow through the alley’s cracks, and she remembered the lore she’d dug up: the Veil Market, the underground supernatural black market, moved locations every full moon, and entry required a bone token. This was it. This was the clique’s hub. She took a step toward the stairs, then another, her boots slipping once on the wet concrete before she caught herself on the handrail, covered in decades of grime and mildew. The air changed as she descended: it stopped smelling like rain and street sewage, and started smelling like cinnamon and burnt sage, mixed with something sharp, like iron and rot. The sound of rain faded behind her, replaced by a low, thrumming hum that vibrated in her bones. It wasn’t music, not exactly—there was a high, thin note layered over the stringed instruments, something that made the fine hairs on her neck stand on end. A loose stone crunched under her boot, and she heard Herrera’s steps pick up speed ahead of her. She hurried the last few steps, her breath coming faster now, and stepped into the vast, vaulted underground space that had once been a Camden Tube station platform. Faded tile signs and rusted train tracks ran along one wall, and string lights crisscrossed the rafters overhead, glowing with a warm, golden light that cut through the darkness. Stalls made of scrap metal and old wooden crates lined the tracks and the platform edges, and people milled between them. Most wore hoods pulled low over their heads, but she spotted a woman with iridescent, dragonfly-like wings flitting between two stalls, haggling over a vial of glowing blue liquid. A man with horns curling from his forehead leaned against a stack of old newspapers, smoking a cigarette that curled purple smoke into the air. Herrera was hurrying toward the far end of the platform, toward a stall draped in a tattered black cloth, and he glanced over his shoulder just as Quinn stepped fully into the market. His eyes widened, and he grabbed a fistful of the black cloth, yanking it aside to reveal a stack of glass vials filled with glowing green liquid. “Quinn! What are you doing here?” Herrera’s voice carried over the hum of the market, sharp with panic. Quinn paused at the edge of the crowd, her hand hovering over the baton at her belt. A hooded figure at a nearby stall held up a vial of glowing red liquid, swirling with dark mist inside, and her stomach dropped. Shadowmist, the banned enchanted substance her unit had been investigating for months, the stuff that had been used to break into three jewelers’ shops in the last two weeks. She thought about Morris, his laugh echoing in her ears as they’d driven to that East London warehouse, saying he’d have the lead wrapped up by morning. She thought about the clique’s recent robberies, the way the victims had described a mist that had slipped through their windows, the way valuables had vanished without a trace—something only possible with enchanted tools. The leather watch on her left wrist vibrated without warning, the ticking so loud she could hear it over the hum of the market. Herrera ducked behind the stall, and Quinn took a step forward, then another. She could do this. She was a decorated detective with 18 years of service, she could handle herself. The rain had soaked through her coat, but she didn’t care. She pulled her baton from her belt, clicking it open with a sharp snap, and stepped into the crowd, the market’s whispers falling silent as the non-human vendors spotted the police baton in her hand.
created_at"2026-03-03T22:57:58.549Z" 3/3/2026, 10:57:58 PM
model"bytedance-seed/seed-2.0-mini-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1958
moderation_latency(null)
generation_time288927
tokens_prompt1140
tokens_completion11979
native_tokens_prompt1105
native_tokens_completion10425
native_tokens_completion_images(null)
native_tokens_reasoning8817
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0042805
router(null)
provider_responses
0
endpoint_id"9265aa87-9657-4d40-b9d7-2a70318e57d9"
id"021772578678677e0570d30189b68d5608c0b11774ff85b935213"
is_byokfalse
latency1958
model_permaslug"bytedance-seed/seed-2.0-mini-20260224"
provider_name"Seed"
status200
api_type"completions"
id"gen-1772578678-gTs4om4eUu4G4bi1TQKn"
upstream_id"021772578678677e0570d30189b68d5608c0b11774ff85b935213"
total_cost0.0042805
cache_discount(null)
upstream_inference_cost0
provider_name"Seed"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences1
tagDensity1
leniency1
rawRatio0
effectiveRatio0
96.07% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1271
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"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)
84.26% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1271
totalAiIsms4
found
0
word"vibrated"
count2
1
word"stomach"
count1
2
word"echoing"
count1
highlights
0"vibrated"
1"stomach"
2"echoing"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"eyes widened/narrowed"
count1
1
label"stomach dropped/sank"
count1
highlights
0"eyes widened"
1"stomach dropped"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences55
matches
0"p with panic"
64.94% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount0
narrationSentences55
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences55
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen52
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1265
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions40
wordCount1252
uniqueNames19
maxNameDensity0.64
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Quinn8
Raven1
Nest1
Soho1
Thames1
Tomás2
Herrera8
Saint1
Christopher1
London4
Old1
Compton1
Street1
Morris3
East2
Veil1
Market1
Camden1
Tube1
persons
0"Quinn"
1"Raven"
2"Tomás"
3"Herrera"
4"Saint"
5"Christopher"
6"Morris"
places
0"Soho"
1"Thames"
2"London"
3"Old"
4"Compton"
5"Street"
6"East"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences50
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1265
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences55
matches
0"seen that bone"
21.33% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs14
mean90.36
std20.3
cv0.225
sampleLengths
0117
1113
2102
371
467
584
682
763
8106
996
10132
1170
1285
1377
98.88% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences55
matches
0"was convinced"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs211
matches
0"was running"
1"was standing"
2"was hurrying"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences5
totalSentences55
ratio0.091
matches
0"He’d lost his NHS paramedic license two years prior, after administering unapproved IV treatments to a teenager who’d been hurt in a supernatural gang fight—something Quinn had only found out about when the teenager’s mother had filed a complaint that had led back to Herrera’s off-the-books clinic."
1"Herrera paused at the top of the stairs, fumbling in his jacket pocket before pulling out a small, chipped white bone—femur, she thought, based on the size—and pressed it to a rusted metal plate set into the concrete wall beside the stairs."
2"She raised her left wrist, checking her watch—quarter past one a.m."
3"It wasn’t music, not exactly—there was a high, thin note layered over the stringed instruments, something that made the fine hairs on her neck stand on end."
4"She thought about the clique’s recent robberies, the way the victims had described a mist that had slipped through their windows, the way valuables had vanished without a trace—something only possible with enchanted tools."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1106
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.018083182640144666
lyAdverbCount6
lyAdverbRatio0.0054249547920434
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences55
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences55
mean23
std11.17
cv0.486
sampleLengths
025
121
221
350
420
512
632
721
828
924
1047
1131
1219
1330
1422
1542
1625
177
186
1928
2018
2117
223
235
2438
2537
267
2711
2844
293
305
3131
3230
3318
3427
3518
3628
3729
3821
3929
4025
4133
4227
4318
4417
4524
4629
4727
4834
4924
51.52% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.36363636363636365
totalSentences55
uniqueOpeners20
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences55
matches(empty)
ratio0
52.73% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences55
matches
0"Her left wrist’s worn leather"
1"She held her pace with"
2"She recognized him before the"
3"His Saint Christopher medallion peeked"
4"He hauled a frayed canvas"
5"She’d been tailing him for"
6"He’d lost his NHS paramedic"
7"She’d seen that bone token"
8"He’d called her that night,"
9"She’d told him to hurry"
10"He never did."
11"His body was never found."
12"She’d spent every day since"
13"She raised her left wrist,"
14"She took a step toward"
15"It wasn’t music, not exactly—there"
16"She hurried the last few"
17"His eyes widened, and he"
18"She thought about Morris, his"
19"She thought about the clique’s"
ratio0.418
23.64% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount48
totalSentences55
matches
0"The rain bit through Quinn’s"
1"Her left wrist’s worn leather"
2"She held her pace with"
3"A taxi honked a sharp"
4"Quinn flinched only slightly, her"
5"She recognized him before the"
6"His Saint Christopher medallion peeked"
7"He hauled a frayed canvas"
8"She’d been tailing him for"
9"He’d lost his NHS paramedic"
10"The chase twisted down a"
11"Tomás darted through a gap"
12"Herrera paused at the top"
13"The metal grumbled, sliding inward"
14"Quinn froze halfway through the"
15"She’d seen that bone token"
16"He’d called her that night,"
17"She’d told him to hurry"
18"He never did."
19"His body was never found."
ratio0.873
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences55
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences45
technicalSentenceCount11
matches
0"Two blocks back, she’d spotted him slipping out of the Raven’s Nest, the Soho bar lined with old maps and black-and-white photos that she’d been staking out for…"
1"He’d lost his NHS paramedic license two years prior, after administering unapproved IV treatments to a teenager who’d been hurt in a supernatural gang fight—som…"
2"The metal grumbled, sliding inward to reveal a narrow, dripping tunnel, and Herrera did not hesitate before descending, his boots thudding against the stone ste…"
3"She’d spent every day since then digging into supernatural circles in London, chasing every lead that might lead to whatever had taken Morris, and this was the …"
4"But now she was standing at the top of a hidden stairwell, rain dripping off the brim of her trench coat onto the stone below, staring into a tunnel that led in…"
5"It wasn’t music, not exactly—there was a high, thin note layered over the stringed instruments, something that made the fine hairs on her neck stand on end."
6"She hurried the last few steps, her breath coming faster now, and stepped into the vast, vaulted underground space that had once been a Camden Tube station plat…"
7"A man with horns curling from his forehead leaned against a stack of old newspapers, smoking a cigarette that curled purple smoke into the air."
8"She thought about Morris, his laugh echoing in her ears as they’d driven to that East London warehouse, saying he’d have the lead wrapped up by morning."
9"She thought about the clique’s recent robberies, the way the victims had described a mist that had slipped through their windows, the way valuables had vanished…"
10"She pulled her baton from her belt, clicking it open with a sharp snap, and stepped into the crowd, the market’s whispers falling silent as the non-human vendor…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
75.3342%