Run: 2026-03-11-01KKFDQG1J6RKYQMGSGNHTEHN3

Run Details

Duration:
2m
Cost:
$0.010267
Provider:
Seed

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
The rain in London stuck to skin like a shroud, turning Soho’s cobblestones to black glass that reflected the Raven’s Nest’s green neon sign so bright it bleached the edges of Harlow Quinn’s salt-and-pepper crop. She leaned against the brick wall of a closed kebab shop, her sharp jaw set, the worn leather of her left wrist’s watch digging into the bone as she checked the time for the seventh time in ten minutes. 1:17 a.m. Eighteen years on the force had trained her to count, to track, to wait with the stillness of a predator, and for three weeks she had waited for the clique’s medic to leave the bar, the only lead she had that might untangle the mess of DS Danny Morris’s death three years prior. She’d staked out the Nest long enough to memorize the faded maps and black-and-white boxing photos taped to its smoke-stained walls, to pick Tomás Herrera out of every crowd that stumbled out its doors. The former paramedic didn’t drink, didn’t laugh, never stayed past closing. She’d spotted him slip through the bar’s back exit ten minutes prior, a canvas medical bag slung over his right shoulder, the scar along his left forearm half-hidden by the sleeve of his waxed jacket. Harlow had pushed off her wall and followed, her boots silent enough to avoid cutting through the rain’s drum, keeping twenty feet back as he wove past overflowing dumpsters and tarpaulin-shrouded fruit stalls on Berwick Street. She’d known the risk of tailing him alone, but no one at the precinct would back her play—they thought Danny’s death was a random mugging, a cut-and-dry case she’d dragged out for years out of guilt. They didn’t believe her when she said the claw marks on Danny’s throat, the shard of unidentifiable carved bone tucked in his fist, the way every witness had described a shadow that didn’t cast a reflection, meant something more than a junkie with a knife. Tomás had paused mid-step, his head tilting like a dog picking up a whistle only he could hear, and Harlow had known she was made. He broke into a run before she could call out her badge, his boots slapping the pavement so hard the rain splashed, and Harlow gave chase, yelling that she was Metropolitan Police, that he had to stop. He didn’t slow. He cut onto empty Oxford Street, darted between a pair of idling night buses, and scrambled over a spiked iron gate that sealed off a university alleyway behind Tottenham Court Road, Harlow right behind him, her wool coat catching on the gate’s spikes, tearing a ragged hole in the elbow that let the rain soak into her shirt. She was 41, but five years of army service before joining the Met had kept her fast, kept her breathing steady even as her lungs burned, even as they raced through Regent’s Park’s squelching grass, oak branches whipping their faces as the wind picked up off the Thames. She gained ten feet on him over twenty minutes of running, close enough to spot the Saint Christopher medallion bouncing against his chest, the scar on his forearm glowing pale when a streetlamp cut through the rain as they spilled onto Camden High Street. Tomás didn’t head for the crowds of drunks lingering outside the Camden clubs. He turned down a potholed side road that led to the abandoned Chalk Farm Tube station, boarded up and left to rot since the mid-90s, the spot every cop in north London had heard whispered of as the Veil Market’s current home. Harlow skidded to a half-stop, her boots slipping on a puddle, because she knew the rules of the Market: it moved every full moon, and tonight was the full moon, the same phase that had hung in the sky the night Danny died. No cop had ever gotten inside, let alone come out alive. The entry requirement was a bone token, a carved piece of animal bone no one could forge, and the only one Harlow had ever seen was the shard that had been in Danny’s hand. Tomás skidded to a stop in front of the station’s rusted metal entrance door, fumbling in his jacket pocket to pull out a small, polished piece of bone carved with swirling runes Harlow couldn’t parse. Harlow drew her service weapon, the gun’s weight familiar in her hand, rain dripping off the barrel’s end as she yelled for him to freeze, to put his hands up. “You’re under arrest for conspiracy, for accessory to the death of DS Danny Morris, for every illegal thing you and your clique have ever done,” she shouted, closing the last five feet between them, her military bearing holding even as her heart hammered so hard she could hear it over the rain. Tomás turned, his warm brown eyes glistening with rain and exertion, a cut above his eyebrow bleeding down his olive cheek. He held up the bone token, his scarred left forearm bared when he lifted his hand, and Harlow’s blood ran cold—his token was identical to the shard she’d locked in her precinct locker, the one the lab couldn’t identify. “That’s not just a lockpick, Quinn,” he said, his voice raw, Seville’s lilt still thick in his accent even after a decade in London. “It’s the only thing that keeps the Market’s wardens from tearing you apart before you take three steps inside. You don’t belong here. Turn around, go back to your precinct, write this off as a dead end. It’s the only smart choice you’ve got left.” Harlow’s finger tightened on the trigger. She thought of Danny, bringing her a burnt black coffee every shift, teasing her about her terrible haircut, the way they’d promised they’d take that trip to Cornwall once their current case wrapped. She thought of her ex-wife, moving to Edinburgh with their eight-year-old daughter, saying Harlow’s obsession with Danny’s death had eaten their marriage alive. She had nothing left but this, nothing but the chance to finally know what had happened to the only person who’d ever had her back. “I’m not leaving,” she said, her voice sharp as her jawline. “You tell me what happened to him, or I’ll drag you out of here in cuffs.” Tomás laughed, a harsh, desperate sound. “Morris’s death wasn’t our fault. He got caught in the crossfire of a vampire feud, we tried to save him, but we were too late. If you step through that door, you’ll end up just like him. The Market doesn’t tolerate cops. They sell banned alchemicals, enchanted weapons, names of witnesses to the highest bidder—they’ll kill you before you can radio for backup. You think you want the truth? The truth will get you killed.” The metal door clicked behind him, unlocking, and a thin wisp of smoke curled out, smelling like cinnamon and burnt sugar and copper, like fresh blood. Low bass thrummed from inside, voices mixing, the noise of a crowded market, not an abandoned Tube station that had been sealed for thirty years. Tomás backed through the door, his eyes still locked on hers. “Last chance. Stay out, or you’re on your own.” He vanished, the door starting to swing shut, and Harlow didn’t hesitate. She ran, slamming her shoulder into the metal before it could latch, the force sending it slamming open, and she stepped over the threshold, the sound of the rain cutting off abruptly, leaving her in a warm, crowded tunnel strung with fairy lights. Stalls lined the walls, a horned witch stirring a cauldron of glowing blue liquid, a werewolf barking at a customer over a pile of silver blades etched with runes, a teenager selling vials of something that glowed like starlight. Harlow’s breath caught, her gun still raised, as she realized she’d stepped into a world she’d never believed could exist, a world that had killed her partner, and there was no going back. The door clicked shut behind her, locking, and somewhere down the tunnel, Tomás Herrera was waiting, and the Veil Market’s wardens had already marked her as an intruder.
created_at"2026-03-11T21:44:29.502Z" 3/11/2026, 9:44:29 PM
model"bytedance-seed/seed-2.0-lite-20260309"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1767
moderation_latency(null)
generation_time120225
tokens_prompt914
tokens_completion5488
native_tokens_prompt908
native_tokens_completion5020
native_tokens_completion_images(null)
native_tokens_reasoning3274
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"
usage0.010267
router(null)
provider_responses
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endpoint_id"bf1a3473-7a0a-46d3-aaa5-adb8f876a697"
id"021773265469789d4c69f90bdf814940b1abafd46c62ec63a3e4a"
is_byokfalse
latency1767
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"
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upstream_id"021773265469789d4c69f90bdf814940b1abafd46c62ec63a3e4a"
total_cost0.010267
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)
dialogueSentences7
tagDensity0.571
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1354
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)
70.46% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1354
totalAiIsms8
found
0
word"predator"
count1
1
word"raced"
count1
2
word"weight"
count1
3
word"familiar"
count1
4
word"glistening"
count1
5
word"eyebrow"
count1
6
word"lilt"
count1
7
word"etched"
count1
highlights
0"predator"
1"raced"
2"weight"
3"familiar"
4"glistening"
5"eyebrow"
6"lilt"
7"etched"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"blood ran cold"
count1
highlights
0"blood ran cold"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences41
matches(empty)
73.17% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences41
filterMatches
0"watch"
hedgeMatches
0"happened to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences44
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen102
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1351
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions72
wordCount1172
uniqueNames35
maxNameDensity1.19
worstName"Harlow"
maxWindowNameDensity2.5
worstWindowName"Harlow"
discoveredNames
London3
Soho1
Raven1
Nest2
Harlow14
Quinn1
Danny7
Morris1
Tomás8
Herrera2
Berwick1
Street3
Metropolitan1
Police1
Oxford1
Tottenham1
Court1
Road1
Met1
Regent1
Park1
Thames1
Saint1
Christopher1
Camden2
High1
Chalk1
Farm1
Tube2
Veil2
Market3
Seville1
Cornwall1
Edinburgh1
Low1
persons
0"Raven"
1"Nest"
2"Harlow"
3"Quinn"
4"Danny"
5"Morris"
6"Tomás"
7"Herrera"
8"Met"
9"Park"
10"Saint"
11"Christopher"
12"Market"
places
0"London"
1"Soho"
2"Berwick"
3"Street"
4"Oxford"
5"Tottenham"
6"Court"
7"Road"
8"Regent"
9"Thames"
10"Camden"
11"High"
12"Chalk"
13"Farm"
14"Tube"
15"Seville"
16"Cornwall"
17"Edinburgh"
globalScore0.903
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences39
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1351
matches(empty)
15.15% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences44
matches
0"yelling that she"
1"take that trip"
19.88% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs9
mean150.11
std32.96
cv0.22
sampleLengths
0129
1197
2215
3143
4117
5129
6114
7152
8155
88.15% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences41
matches
0"was made"
1"been sealed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs205
matches
0"was waiting"
12.99% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences44
ratio0.045
matches
0"She’d known the risk of tailing him alone, but no one at the precinct would back her play—they thought Danny’s death was a random mugging, a cut-and-dry case she’d dragged out for years out of guilt."
1"He held up the bone token, his scarred left forearm bared when he lifted his hand, and Harlow’s blood ran cold—his token was identical to the shard she’d locked in her precinct locker, the one the lab couldn’t identify."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1188
adjectiveStacks0
stackExamples(empty)
adverbCount25
adverbRatio0.021043771043771045
lyAdverbCount6
lyAdverbRatio0.005050505050505051
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences44
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences44
mean30.7
std18.07
cv0.588
sampleLengths
035
139
22
353
434
511
635
736
836
945
1025
1137
123
1358
1448
1544
1613
1742
1843
1911
2034
2135
2230
2352
2421
2539
2624
2745
286
2933
3023
3125
3211
3316
346
35101
3625
3711
389
3912
4043
4139
4233
4328
53.03% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.38636363636363635
totalSentences44
uniqueOpeners17
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences40
matches(empty)
ratio0
20.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences40
matches
0"She leaned against the brick"
1"She’d staked out the Nest"
2"She’d spotted him slip through"
3"She’d known the risk of"
4"They didn’t believe her when"
5"He broke into a run"
6"He didn’t slow."
7"He cut onto empty Oxford"
8"She was 41, but five"
9"She gained ten feet on"
10"He turned down a potholed"
11"she shouted, closing the last"
12"He held up the bone"
13"he said, his voice raw,"
14"She thought of Danny, bringing"
15"She thought of her ex-wife,"
16"She had nothing left but"
17"she said, her voice sharp"
18"He vanished, the door starting"
19"She ran, slamming her shoulder"
ratio0.5
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount37
totalSentences40
matches
0"The rain in London stuck"
1"She leaned against the brick"
2"She’d staked out the Nest"
3"The former paramedic didn’t drink,"
4"She’d spotted him slip through"
5"Harlow had pushed off her"
6"She’d known the risk of"
7"They didn’t believe her when"
8"Tomás had paused mid-step, his"
9"He broke into a run"
10"He didn’t slow."
11"He cut onto empty Oxford"
12"She was 41, but five"
13"She gained ten feet on"
14"Tomás didn’t head for the"
15"He turned down a potholed"
16"Harlow skidded to a half-stop,"
17"The entry requirement was a"
18"Tomás skidded to a stop"
19"Harlow drew her service weapon,"
ratio0.925
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences40
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
technicalSentenceCount13
matches
0"The rain in London stuck to skin like a shroud, turning Soho’s cobblestones to black glass that reflected the Raven’s Nest’s green neon sign so bright it bleach…"
1"She’d staked out the Nest long enough to memorize the faded maps and black-and-white boxing photos taped to its smoke-stained walls, to pick Tomás Herrera out o…"
2"Harlow had pushed off her wall and followed, her boots silent enough to avoid cutting through the rain’s drum, keeping twenty feet back as he wove past overflow…"
3"They didn’t believe her when she said the claw marks on Danny’s throat, the shard of unidentifiable carved bone tucked in his fist, the way every witness had de…"
4"Tomás had paused mid-step, his head tilting like a dog picking up a whistle only he could hear, and Harlow had known she was made."
5"He broke into a run before she could call out her badge, his boots slapping the pavement so hard the rain splashed, and Harlow gave chase, yelling that she was …"
6"He cut onto empty Oxford Street, darted between a pair of idling night buses, and scrambled over a spiked iron gate that sealed off a university alleyway behind…"
7"He turned down a potholed side road that led to the abandoned Chalk Farm Tube station, boarded up and left to rot since the mid-90s, the spot every cop in north…"
8"Harlow skidded to a half-stop, her boots slipping on a puddle, because she knew the rules of the Market: it moved every full moon, and tonight was the full moon…"
9"Tomás turned, his warm brown eyes glistening with rain and exertion, a cut above his eyebrow bleeding down his olive cheek."
10"She thought of her ex-wife, moving to Edinburgh with their eight-year-old daughter, saying Harlow’s obsession with Danny’s death had eaten their marriage alive."
11"Low bass thrummed from inside, voices mixing, the noise of a crowded market, not an abandoned Tube station that had been sealed for thirty years."
12"Stalls lined the walls, a horned witch stirring a cauldron of glowing blue liquid, a werewolf barking at a customer over a pile of silver blades etched with run…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount1
matches
0"she said, her voice sharp as her jawline"
7.14% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"she shouted (shout)"
dialogueSentences7
tagDensity0.429
leniency0.857
rawRatio0.333
effectiveRatio0.286
64.7768%