Run: 2026-03-11-01KKFF4RWS5PYBKBJD10DH5N2H

Run Details

Duration:
2m 32s
Cost:
$0.012668
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
Harlow’s boots hit the Soho tarmac hard, rain seeping through the scuffed leather toes, her waterproof jacket slapping her ribs as she rounds the corner off Old Compton Street. The suspect, a lanky kid in a faded black hoodie, hangs 20 yards ahead, weaving through clusters of drunk tourists that spill out of the area’s barfronts. She’d staked out the Raven’s Nest for 21 straight nights, posed as a lost American backpacker for an hour inside, nursed a flat lager that warmed to room temperature in her hand, until she saw the kid slip a vial of glowing silver liquid into his hoodie pocket and slip out the back exit. The bar’s green neon sign bleached the brick behind her as she gave chase, its glow shrinking behind her as she pushed after the kid. The Raven’s Nest’s walls, lined with yellowed maps and creased black-and-white photos, had lingered in her line of sight for three weeks. She’d watched every person who walked in and out, cross-referenced their faces with the list of names she’d pulled from her dead partner’s case files. This kid was the first one she’d seen emerge from the hidden back room, its bookshelf entrance left ajar as the kid bolted, confirming the bar’s secret passages were real, not just the bar gossip she’d pried from a part-time bartender two weeks prior. Her breath stays even, military-honed pacing keeping her from flagging even as the kid puts more distance between them. The worn leather watch on her left wrist digs into her palm as she pumps her arms, the salt-and-pepper crop of her hair plastered to her skull by the slashing rain. She doesn’t call into her radio, clipped to the belt of her jeans. Her superiors had labeled her obsession with DS Morris’ death a liability three months prior, warned her they’d reassign her to desk duty if she didn’t drop the cold case. No one would back her if she radioed in a chase of a kid linked to a string of unsolved deaths that the department had written off as gang violence. She works alone. The chase cuts north through Tottenham Court Road, past shuttered electronics stores and bus stops that glow orange under streetlights that bleed golden into rain-swollen puddles. The kid never glances back. He knows she’s there. Harlow gains 10 yards when the kid pauses to dodge a black cab that slides through a red light, and she gets a clear look at his profile, the same sharp cheekbones she’d seen on a witness sketch from three years prior, a kid who’d been spotted outside the Hackney warehouse where Morris died. She’d spent three years chasing a ghost, and the ghost was 10 yards in front of her, running like his life depended on losing her. When the kid veers left into a darkened Camden alley, between a boarded-up pizza shop and a vintage clothing store strung with faded mannequins, Harlow draws the taser from her hip, her finger hovering over the trigger. The main stretch of Camden Lock is empty, its market stalls shuttered for the night, the only sound the wind whipping rain off the metal shutters. Tonight’s the full moon. The snitch who’d first tipped her off to the Veil Market had told her the market moved locations every full moon, that it set up shop in abandoned Tube stations across the city, only accessible to people who carried a bone token to unlock the entrance. She’d laughed it off at the time, written the tip off as the ramblings of a drug addict looking for a quick payout. Until three nights prior, when she’d dug up Morris’ old case file from the evidence locker, found his case notes scrawled with the same location: abandoned Camden Road Tube station, bone token, don’t go in alone. The kid skids to a stop in front of a rusted metal grate set into the alley’s brick wall, half-hidden by a stack of rotting pallets. He yanks a small, weathered human finger bone from his hoodie pocket, the same kind of token her snitch had described, and presses it into a narrow slot carved into the grate’s lock. The mechanism clicks loud enough for Harlow to hear, even over the rain. The grate swings inward, revealing a flight of concrete stairs leading down into pitch black. The faint smell of ozone and burnt sugar drifts up, along with a hum of voices that doesn’t match any language she’s ever heard. Harlow presses herself flat against the wet brick, her taser still raised, as the kid descends the first few stairs. He pulls a phone from his pocket, its flashlight cutting through the dark, and barks up the stairwell. Herrera, I got the alchemist’s order. That detective from the Met, the one who’s been staking out the Nest, she followed me. She didn’t lose the trail. A man’s voice drifts up from the bottom of the stairs, low, laced with the thick lilt of Seville, sharp with warning. Tomás Herrera, the former NHS paramedic who’d lost his license for treating unregistered patients, the man she’d linked to the clique’s medical care six months prior. She gets a flash of him as he steps into the faint glow cast by the kid’s phone, his short curly dark hair sticking to his forehead, the Saint Christopher medallion around his neck glinting, a thin pale scar running along his left forearm as he crosses his arms. Get down here now. The seals lock in 30 seconds. She can’t cross the threshold without a token of her own. This place doesn’t let strangers in. It eats them. The kid’s flashlight bobs further down the stairs. What if she’s got one? We can’t miss the meet, the alchemist leaves as soon as the first shift ends. Harlow’s hand slips under her jacket, curling around the small bone token she’d found next to Morris’ body in that Hackney warehouse three years prior. She’d worn it on a chain around her neck ever since, the only piece of the case the department hadn’t locked away. She’d never known what it was for, had only held onto it because it was the only unexplained piece of evidence at the crime scene, the only thing that didn’t fit the department’s gang killing narrative. Now it weighed heavy against her chest, cold even through the layers of her shirt and jacket. She could turn around. She could call for backup, wait for uniformed officers to swarm the alley, break up the market before anyone else got hurt. But backup would take 20 minutes to arrive. The seals would lock. The kid and Tomás would vanish. She’d spend another three years chasing leads, another three years watching Morris’ 10-year-old daughter ask when the man who killed her dad would face justice. She’d spent 18 years on the force, chasing every kind of human monster London could throw at her, but this was the first time she’d ever had a chance to catch the thing that took her partner. The supernatural hints that had lingered at the edge of her case files, the vials of glowing liquid, the kid who could run a mile in five minutes, the bone token that opened a grate that should have been welded shut, all of it would stop being a mystery if she stepped through that grate. A plastic bag skitters down the alley, tangling around her boot. A siren wails five blocks over, distant and faint. Tomás calls up again, his voice softer, not a warning anymore, a plea. I know what you’re thinking, Detective. You want answers for Morris. But this place isn’t what you think. You don’t know what’s down here. Turn around. Go home. The kid yells, the seal clicks shut in 10 seconds, we have to go. Harlow pushes off the brick, her boots squelching in a puddle that ripples with the rain. She steps to the grate, her hand tightening around the bone token around her neck. She tugs it over her head, holds the small white bone in her palm, the same shape as the kid’s. She can see string lights flickering on down the stairs, the glow of merchant stalls, the glint of enchanted blades and glowing potions laid out on folding tables, the hum of the Veil Market swelling as it wakes up for the night. This is her only chance. She presses the bone token into the slot in the lock. The mechanism clicks, the same as it had for the kid. The grate swings open further. She sets her boot on the first concrete stair, the cold seeping through her sock, and starts down, the dark of the Tube station swallowing her whole before she can second guess the choice.
created_at"2026-03-11T22:09:13.13Z" 3/11/2026, 10:09:13 PM
model"bytedance-seed/seed-2.0-lite-20260309"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency500
moderation_latency(null)
generation_time152148
tokens_prompt1140
tokens_completion6833
native_tokens_prompt1104
native_tokens_completion6196
native_tokens_completion_images(null)
native_tokens_reasoning4338
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"
usage0.012668
router(null)
provider_responses
0
endpoint_id"bf1a3473-7a0a-46d3-aaa5-adb8f876a697"
id"021773266953259e0fa5d59a7b50e9f748f37815b909e28801e46"
is_byokfalse
latency500
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-1773266953-jYoDn41jwVRM2H0alzNZ"
upstream_id"021773266953259e0fa5d59a7b50e9f748f37815b909e28801e46"
total_cost0.012668
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
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences0
tagDensity1
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1464
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
89.75% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1464
totalAiIsms3
found
0
word"lilt"
count1
1
word"glinting"
count1
2
word"glint"
count1
highlights
0"lilt"
1"glinting"
2"glint"
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
narrationSentences76
matches(empty)
86.47% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount0
narrationSentences76
filterMatches
0"watch"
1"know"
2"think"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences76
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen55
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1464
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions43
wordCount1391
uniqueNames26
maxNameDensity0.5
worstName"Harlow"
maxWindowNameDensity1
worstWindowName"Raven"
discoveredNames
Soho1
Old1
Compton1
Street1
Raven2
Nest3
American1
Tottenham1
Court1
Road1
Hackney1
Morris2
Camden2
Harlow7
Lock1
Veil2
Market2
Tube2
Met1
Seville1
Herrera2
Saint1
Christopher1
Tomás3
London1
Detective1
persons
0"Raven"
1"Nest"
2"Morris"
3"Harlow"
4"Market"
5"Herrera"
6"Saint"
7"Christopher"
8"Tomás"
places
0"Soho"
1"Old"
2"Compton"
3"Street"
4"Tottenham"
5"Court"
6"Road"
7"Hackney"
8"Veil"
9"Met"
10"Seville"
11"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences61
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1464
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences76
matches
0"stops that glow"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs15
mean97.6
std63.22
cv0.648
sampleLengths
0226
1126
2114
3172
4111
538
627
797
830
928
10100
11161
1233
1328
14173
96.03% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences76
matches
0"been spotted"
1"been welded"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs206
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences76
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount304
adjectiveStacks0
stackExamples(empty)
adverbCount3
adverbRatio0.009868421052631578
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences76
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences76
mean19.26
std13.83
cv0.718
sampleLengths
029
127
254
325
422
525
644
719
831
913
1030
1130
123
1326
145
154
1654
1725
1837
1926
204
2146
2223
2336
2426
2533
2613
2715
2824
2920
3018
316
3216
335
3422
3526
3649
374
386
3911
406
413
428
435
4415
4525
4622
4736
4817
494
36.84% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.3157894736842105
totalSentences76
uniqueOpeners24
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences74
matches(empty)
ratio0
57.84% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences74
matches
0"She’d staked out the Raven’s"
1"She’d watched every person who"
2"Her breath stays even, military-honed"
3"She doesn’t call into her"
4"Her superiors had labeled her"
5"She works alone."
6"He knows she’s there."
7"She’d spent three years chasing"
8"She’d laughed it off at"
9"He yanks a small, weathered"
10"He pulls a phone from"
11"She didn’t lose the trail."
12"She gets a flash of"
13"She can’t cross the threshold"
14"It eats them."
15"We can’t miss the meet,"
16"She’d worn it on a"
17"She’d never known what it"
18"She could turn around."
19"She could call for backup,"
ratio0.405
14.05% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount66
totalSentences74
matches
0"Harlow’s boots hit the Soho"
1"The suspect, a lanky kid"
2"She’d staked out the Raven’s"
3"The bar’s green neon sign"
4"The Raven’s Nest’s walls, lined"
5"She’d watched every person who"
6"This kid was the first"
7"Her breath stays even, military-honed"
8"The worn leather watch on"
9"She doesn’t call into her"
10"Her superiors had labeled her"
11"She works alone."
12"The chase cuts north through"
13"The kid never glances back."
14"He knows she’s there."
15"Harlow gains 10 yards when"
16"She’d spent three years chasing"
17"The main stretch of Camden"
18"Tonight’s the full moon."
19"The snitch who’d first tipped"
ratio0.892
67.57% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences74
matches
0"Now it weighed heavy against"
ratio0.014
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences47
technicalSentenceCount10
matches
0"The suspect, a lanky kid in a faded black hoodie, hangs 20 yards ahead, weaving through clusters of drunk tourists that spill out of the area’s barfronts."
1"She’d staked out the Raven’s Nest for 21 straight nights, posed as a lost American backpacker for an hour inside, nursed a flat lager that warmed to room temper…"
2"She’d watched every person who walked in and out, cross-referenced their faces with the list of names she’d pulled from her dead partner’s case files."
3"The chase cuts north through Tottenham Court Road, past shuttered electronics stores and bus stops that glow orange under streetlights that bleed golden into ra…"
4"Harlow gains 10 yards when the kid pauses to dodge a black cab that slides through a red light, and she gets a clear look at his profile, the same sharp cheekbo…"
5"The snitch who’d first tipped her off to the Veil Market had told her the market moved locations every full moon, that it set up shop in abandoned Tube stations…"
6"The faint smell of ozone and burnt sugar drifts up, along with a hum of voices that doesn’t match any language she’s ever heard."
7"She gets a flash of him as he steps into the faint glow cast by the kid’s phone, his short curly dark hair sticking to his forehead, the Saint Christopher medal…"
8"She’d never known what it was for, had only held onto it because it was the only unexplained piece of evidence at the crime scene, the only thing that didn’t fi…"
9"The supernatural hints that had lingered at the edge of her case files, the vials of glowing liquid, the kid who could run a mile in five minutes, the bone toke…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
84.9517%