Run: 2026-03-11-01KKFFH8BXPQ3KEA36P06M761T

Run Details

Duration:
2m 27s
Cost:
$0.013700
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 bleeded the green neon of the Raven’s Nest sign into the gutter, turning the wet asphalt the color of a bruise. Harlow huddled in a booth at the back of the bar, her blazer pulled tight against the draft that seeped under the door, and traced the crack in her beer bottle with a finger. The walls around her hummed with the low murmur of patrons, lined with yellowed maps of the London docks and black-and-white photos of long-dead boxers and gangsters. Behind the bar, a floor-to-ceiling bookshelf split to let a kid slip through, the hidden back room’s entrance clicking shut behind him. Harlow’s gaze locked on the lanky blond kid who’d followed, the one who’d spent the last hour huddled with Tomás Herrera, the ex-paramedic she’d had under surveillance for six months. Harlow had spent 18 years on the Metropolitan Police, enough time to read a room before she crossed the threshold. She’d cultivated the sharp, unyielding bearing that came from a two-year stint in the army before joining the force, her salt-and-pepper crop cut close enough to show the scar along her hairline from a brick thrown during a riot five years prior. The worn leather watch on her left wrist stuck to her palm when she curled her hand into a fist, the same watch she’d worn the day they’d pulled her partner, DS Morris, from the Thames three years prior. The coroner had ruled his death a misadventure, a heart attack that struck mid-swim, but Harlow had seen the body. Blackened veins snaked up his neck, his skin charred from the inside out like someone had lit a fire in his chest. No natural explanation. No leads. Until the clique, the group that haunted the Raven’s Nest, had popped up on her radar, linked to a dozen unsolved deaths and disappearances across the city. The booth across from her dipped. Tomás slid into the seat, his olive skin glowing in the dim string lights, his short curly dark hair matted at the ends from the rain he’d tracked in. The scar along his left forearm peeked out from the cuff of his hoodie, pale against his skin, the knife wound he’d gotten two years prior that she’d read about in his old NHS files. His fingers twisted the Saint Christopher medallion around his neck, the silver chain glinting when he lifted his hand to tap the table between them. You’ve camped here three nights running. Harlow leaned forward, her sharp jaw set. She didn’t bother denying her identity. Everyone in the clique knew who she was, knew she’d been hounding their associates for a year. I was at the inquest. You testified you’d never met Morris. The night he died, a witness put you at the riverside, 10 minutes before his body went into the water. Tomás’s jaw tightened. The medallion stopped twisting. That witness was wrong. I was at a clinic in East Ham that night. The records say so. Bought records, you mean. You lost your license for treating patients no NHS doctor would touch. People who showed up with wounds that didn’t heal, burns that didn’t show up on x-rays. What were they? Supernatural bogeymen? Harlow’s voice dropped, sharp enough to cut. I know you’re hiding something. Whatever killed Morris is linked to your little group, and I’m going to prove it. Behind them, the back room’s bookshelf creaked open. Harlow’s head snapped up. The blond kid, Jax, the one she’d spotted earlier, slipped through, a small glowing vial tucked into the inner pocket of his leather jacket. The light seeped through the fabric, pale blue, too bright for a phone screen. He glanced toward the booth, met Harlow’s gaze, and bolted for the back exit. Harlow was out of the booth before Tomás could say another word. She slammed through the bar’s back door into the rain, the cold water soaking through her shirt within seconds. Jax was already 20 yards down the alley, his boots slapping against the wet pavement. Harlow gave chase, pumping her arms, her military training keeping her pace steady even as the rain stung her cheeks. She cleared the mouth of the alley onto Soho’s main strip, weaving through a group of stag party attendees who yelled as she brushed past, a kebab shop’s owner lifting a fryer basket as she skidded past his counter. Jax didn’t look back. He knew he was being chased, his lead shrinking by the second as Harlow closed the gap. She was 41, but she ran five miles every morning before roll call, kept her body in the same tight, functional shape she’d had in the army. They cut north through Fitzrovia, crossed Euston Road, and hit Camden an hour after leaving the Raven’s Nest, the high street’s pubs emptying, stragglers huddling under bus stops to wait for night buses. Jax veered off the main road into a dead-end alley lined with boarded-up shop fronts, the only light a flickering streetlamp at the mouth. Harlow skidded to a stop ten feet from him, her hand falling to the gun at her hip, the metal cold even through the wet fabric of her jacket. Metropolitan Police. Stop. I will shoot. Jax laughed, the sound rough, drowned out by the rain. He stood over a rusted metal grate set into the pavement, big enough for a grown man to slide through, the lock on its edge pitted with age. You couldn’t shoot me if you tried, copper. You’re too curious. You wanna know what killed your precious DS Morris. You wanna know why his body burned up from the inside. He fumbled in his pocket, pulled out two small, yellowed bits of bone, each the size of a thumb. One slipped from his fingers, landing in a puddle at Harlow’s feet. He held the other up to a narrow slot in the grate’s lock, a slot Harlow hadn’t noticed, too narrow for a key. The lock clicked. Loud, final, no mechanical turn of a tumbler, just a soft click that echoed up the alley. The grate heaved open. The smell that rose from the hole wasn’t sewage, like Harlow expected. It was frankincense, burnt sugar, and copper, thick enough to taste. Jax leaned down, one hand on the edge of the grate, and nodded at her. This is the Veil Market. Moves every full moon. Tonight it’s here, under the old Camden Town station. You wanna follow? You need a bone token to get in. That one at your feet works. But if you come down here, you don’t get to leave screaming when you see what’s in there. The things that killed Morris? They buy and sell down here. They own this place. You step off that ladder, you’re not a detective anymore. You’re prey. He dropped into the hole, his boots hitting metal rungs that clanged as he descended. The sound faded after ten seconds, leaving Harlow alone in the alley, the rain pouring down her neck. She glanced up, the clouds parting for half a second, revealing the full moon hanging low over the rooftops, bright enough to cast shadows. The bone token lay in the puddle at her feet, warm even through the cold rain, seeping heat into her palm when she bent to pick it up. She thought of the three years she’d spent chasing ghosts, the case file gathering dust on her apartment’s coffee table, the way her superiors had told her to drop Morris’s death, to stop making a fool of herself with wild conspiracy theories. This was the first lead that hadn’t led to a dead end. The first time anyone had even mentioned Morris’s name outside of the occasional sympathy check-in from old colleagues. If she called for backup, they’d section her. They’d take her badge, her gun, lock her up for chasing fairy tales. If she waited, the grate would lock. Jax would disappear into the market, and she’d never get another chance. Footsteps echoed from the mouth of the alley. Harlow spun, her gun drawn, her finger hovering over the trigger. Tomás stood under the streetlamp, his hoodie soaked through, the scar on his left forearm glowing faintly in the yellow light. His medallion swung as he walked toward her, his hands up to show he wasn’t armed. Don’t do it, Quinn. Put the gun down. Leave that bone where it is. I can get you answers about Morris. I can take you to someone who’ll tell you what really happened, but you can’t go down there. That market’s full of people who’d kill a cop before they ask her name. They don’t care that you’re just trying to solve your partner’s death. They see a badge, they put a bullet in it. Harlow’s grip on the gun tightened. She glanced from Tomás, standing ten feet away, to the gaping grate at her feet, the faint sound of music drifting up from the abandoned Tube station, alien and unrecognizable. The bone token burned in her left palm, the leather of her watch sticking to her wrist. She had two choices. Turn back, follow Tomás, wait for answers that might never come. Or step into the dark, chase the lead that had haunted her for three years, into a world she didn’t understand.
created_at"2026-03-11T22:16:02.188Z" 3/11/2026, 10:16:02 PM
model"bytedance-seed/seed-2.0-lite-20260309"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency501
moderation_latency(null)
generation_time147368
tokens_prompt1140
tokens_completion7297
native_tokens_prompt1104
native_tokens_completion6712
native_tokens_completion_images(null)
native_tokens_reasoning4696
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"
usage0.0137
router(null)
provider_responses
0
endpoint_id"bf1a3473-7a0a-46d3-aaa5-adb8f876a697"
id"021773267362350a6a4fa205cad9389410edbf7cc69b7de271c29"
is_byokfalse
latency501
model_permaslug"bytedance-seed/seed-2.0-lite-20260309"
provider_name"Seed"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773267362-YM7Mp3oA9MnBxwFAA8Af"
upstream_id"021773267362350a6a4fa205cad9389410edbf7cc69b7de271c29"
total_cost0.0137
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
totalTags0
96.78% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1553
totalAiIsmAdverbs1
found
0
adverb"really"
count1
highlights
0"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)
77.46% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1553
totalAiIsms7
found
0
word"traced"
count1
1
word"glinting"
count1
2
word"pumping"
count1
3
word"mechanical"
count1
4
word"echoed"
count2
5
word"footsteps"
count1
highlights
0"traced"
1"glinting"
2"pumping"
3"mechanical"
4"echoed"
5"footsteps"
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
narrationSentences112
matches(empty)
79.08% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount5
hedgeCount0
narrationSentences112
filterMatches
0"watch"
1"know"
2"see"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences112
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen45
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1553
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions79
wordCount1553
uniqueNames26
maxNameDensity1.16
worstName"Harlow"
maxWindowNameDensity3
worstWindowName"You"
discoveredNames
Raven3
Nest3
London1
Tomás7
Herrera1
Metropolitan2
Police2
Morris8
Thames1
Harlow18
Saint1
Christopher1
East1
Ham1
Jax7
Soho1
Fitzrovia1
Euston1
Road1
Camden2
Veil1
Market1
Town1
Quinn1
Tube1
You11
persons
0"Raven"
1"Nest"
2"Tomás"
3"Herrera"
4"Morris"
5"Harlow"
6"Saint"
7"Christopher"
8"Jax"
9"Quinn"
10"You"
places
0"London"
1"Thames"
2"East"
3"Soho"
4"Euston"
5"Road"
6"Camden"
7"Market"
8"Town"
globalScore0.92
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences84
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1553
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences112
matches
0"Leave that bone"
1"care that you’re"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs18
mean86.28
std45.66
cv0.529
sampleLengths
0136
1175
295
36
461
525
664
764
8105
9134
106
11143
12122
1385
14112
1556
1675
1789
95.86% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences112
matches
0"was, knew"
1"is linked"
2"being chased"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs268
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences112
ratio0
matches(empty)
88.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1565
adjectiveStacks2
stackExamples
0"short curly dark hair"
1"same tight, functional shape"
adverbCount28
adverbRatio0.017891373801916934
lyAdverbCount4
lyAdverbRatio0.0025559105431309905
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences112
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences112
mean13.87
std9.99
cv0.72
sampleLengths
023
134
227
322
430
520
642
739
820
922
103
112
1227
136
1429
1535
1625
176
187
196
2017
215
226
2320
243
254
264
2710
284
294
3012
3116
323
332
347
355
3615
378
384
3924
4014
4114
4212
4319
4415
4520
4639
474
4817
4927
43.45% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.33035714285714285
totalSentences112
uniqueOpeners37
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences107
matches(empty)
ratio0
70.47% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount40
totalSentences107
matches
0"She’d cultivated the sharp, unyielding"
1"His fingers twisted the Saint"
2"You’ve camped here three nights"
3"She didn’t bother denying her"
4"I was at the inquest."
5"You testified you’d never met"
6"I was at a clinic"
7"You lost your license for"
8"I know you’re hiding something."
9"He glanced toward the booth,"
10"She slammed through the bar’s"
11"She cleared the mouth of"
12"He knew he was being"
13"She was 41, but she"
14"They cut north through Fitzrovia,"
15"I will shoot."
16"He stood over a rusted"
17"You couldn’t shoot me if"
18"You’re too curious."
19"You wanna know what killed"
ratio0.374
39.44% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount90
totalSentences107
matches
0"The rain bleeded the green"
1"Harlow huddled in a booth"
2"The walls around her hummed"
3"Harlow’s gaze locked on the"
4"Harlow had spent 18 years"
5"She’d cultivated the sharp, unyielding"
6"The worn leather watch on"
7"The coroner had ruled his"
8"The booth across from her"
9"Tomás slid into the seat,"
10"The scar along his left"
11"His fingers twisted the Saint"
12"You’ve camped here three nights"
13"Harlow leaned forward, her sharp"
14"She didn’t bother denying her"
15"Everyone in the clique knew"
16"I was at the inquest."
17"You testified you’d never met"
18"The night he died, a"
19"Tomás’s jaw tightened."
ratio0.841
93.46% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences107
matches
0"If she called for backup,"
1"If she waited, the grate"
ratio0.019
54.95% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences65
technicalSentenceCount8
matches
0"Harlow’s gaze locked on the lanky blond kid who’d followed, the one who’d spent the last hour huddled with Tomás Herrera, the ex-paramedic she’d had under surve…"
1"She’d cultivated the sharp, unyielding bearing that came from a two-year stint in the army before joining the force, her salt-and-pepper crop cut close enough t…"
2"The coroner had ruled his death a misadventure, a heart attack that struck mid-swim, but Harlow had seen the body."
3"She cleared the mouth of the alley onto Soho’s main strip, weaving through a group of stag party attendees who yelled as she brushed past, a kebab shop’s owner …"
4"They cut north through Fitzrovia, crossed Euston Road, and hit Camden an hour after leaving the Raven’s Nest, the high street’s pubs emptying, stragglers huddli…"
5"Loud, final, no mechanical turn of a tumbler, just a soft click that echoed up the alley."
6"He dropped into the hole, his boots hitting metal rungs that clanged as he descended."
7"That market’s full of people who’d kill a cop before they ask her name."
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
86.8539%