Run: 2026-03-11-01KKFJ4QMNJT66ZYVBHDA6VYPH

Run Details

Duration:
1m 44s
Cost:
$0.009010
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
Rain soaked through Harlow’s wool coat ten minutes into the chase, the cold seeping through to her bones sharp as the edge of the serrated knife she’d taped to her ankle. She’d staked out the Raven’s Nest for three nights straight, the bar’s green neon sign bleeding lime into the puddles of Soho’s backstreets, watching every patron that slipped in and out of its dim, map-plastered dining room. She’d memorized Tomás Herrera’s file two weeks prior: the former paramedic who’d lost his NHS license for treating patients no doctor would touch, the guy who ran off-the-books medical supplies for the clique that had circled every unsolved case she’d touched since her partner, DS Morris, died. When Herrera burst through the Raven’s Nest’s back exit at 1:17 a.m., hood up, hands stuffed in his jacket pockets, she moved before she thought, military bearing kicking in, her worn leather watch scraping the brick wall as she rounded a dumpster to cut him off. Herrera skidded to a halt, then bolted. His boots slapped the wet asphalt faster than hers, youth giving him a lead she struggled to close. Herrera. Stop running. I just want to talk. He didn’t slow. He wove between groups of clubbers queuing under umbrellas, slipped past a kebab cart’s steam cloud, and left Harlow to weave through the chaos, her lungs burning. Rain plastered her closely cropped salt-and-pepper hair to her forehead, and her sharp jaw ached from clenching it against the cold. She thought of Morris, three years prior, the two of them chasing a suspect through these same streets, his laugh crackling over their comms as he teased her for huffing to keep up. An hour later, she’d found him dumped in an alley, his eyes solid black, the grass under his body crumbled to ash when she touched it. The coroner ruled it a heart attack. The Met buried the case. Harlow had never stopped digging. She gained half a block on Herrera as he paused to let a black cab pass, his jacket sleeve riding up to show the thin, pale scar slicing along his left forearm—matching the report of the knife attack that had put him in hospital three years prior, just weeks before Morris died. A silver Saint Christopher medallion bounced against his chest, glinting in the flash of a street light, and Harlow lunged, grabbing for the back of his hood. He twisted out of her grip, sprinting north up Charing Cross Road, past shuttered bookstores and 24-hour laundromats, their fluorescent light bleeding onto the pavement. She chased him for another half hour, the cityscape shifting from Soho’s gritty glamour to Camden’s rough, waterlogged chaos. The canal ran black as oil beside them, rain rippling its surface to distort the neon glow of the lockside bars. Drunks stumbled out of a pub, and Herrera weaved through them, Harlow hot on his heels, her service weapon heavy on her hip. Stop! I’ll put a bullet in your leg before you get ten more feet. He paused for half a second, glancing over his shoulder. His warm brown eyes were wide, unreadable. You don’t know what you’re stepping into, Quinn. Turn back. This isn’t your world. Harlow froze. He knew her name. She’d worn a baseball cap to her stakeouts, kept to the shadows, never let anyone at the Raven’s Nest get a clear look at her. She lunged forward, fingers brushing his hood’s edge, but he slipped away, sprinting down an unlit side street that led to the abandoned Camden Road Tube station, the derelict stop that had been boarded up since the 90s. Most of its entrance was bricked over, but a stack of waterlogged pallets and a discarded fridge hid a rusted maintenance door, and Herrera tore the barriers aside like they were cardboard. She was twenty feet from him when he fished a small, chipped chip of white bone from his pocket, pressing it to a slot in the metal door she couldn’t make out in the dark. A low, thrumming click echoed, and the door swung inward, pouring blackness that smelled of jasmine, burnt iron, and something sweet, unidentifiable. Muffled chatter rose from the gap, nothing like the street’s sharp, chaotic noise—this was the low hum of a crowd, hidden underground. She’d heard whispers of the Veil Market, the supernatural black market that moved locations every full moon, set up in the abandoned Tube station beneath Camden this cycle. This was it. Herrera slipped over the threshold, pausing to brace the door with one foot. He held up the bone token, his voice sharp enough to cut through the rain. The Market only lets those with rightful bone tokens pass. You’re a cop. Your bones don’t register. Step in here, and you die. That’s not a threat. That’s the rules. Harlow stopped ten feet from the door, rain dripping off the end of her nose. She’d spent three years building a case no one at the Met would believe, chasing leads that led nowhere, staring at Morris’s photo on her fridge every night before she passed out. She could turn back. She could go home, pour a glass of cheap whiskey, and wait for another lead to fall into her lap, spend another year chasing ghosts. Or she could follow. The door was creaking shut, the gap between its edge and the frame shrinking by the second. She fumbled in the inner pocket of her coat, her fingers closing around the small, chipped piece of bone she’d pulled from Morris’s cold hand the day she found him. It was identical to the one Herrera held, worn at the edges, white as old teeth. She held it up, the streetlight catching its surface. Morris had one of these. I’m not turning back. You think I came this far to run now? I’m getting answers about who killed him, even if I have to tear this whole Market apart to do it. Herrera’s face drained of color. He recognized the bone. The door’s creak grew louder, the gap shrinking to barely a foot wide. Harlow didn’t hesitate. She pushed off the asphalt, the bone clutched tight in her fist, and ran for the door before it could slam shut.
created_at"2026-03-11T23:01:37.569Z" 3/11/2026, 11:01:37 PM
model"bytedance-seed/seed-2.0-lite-20260309"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1020
moderation_latency(null)
generation_time103804
tokens_prompt1140
tokens_completion4652
native_tokens_prompt1104
native_tokens_completion4367
native_tokens_completion_images(null)
native_tokens_reasoning3001
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"
usage0.00901
router(null)
provider_responses
0
endpoint_id"bf1a3473-7a0a-46d3-aaa5-adb8f876a697"
id"021773270098260c0f1672f4b1c3107d0b8535f43b945c7b28b61"
is_byokfalse
latency1020
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-1773270097-nBrAvqJWOxhJhlY7TOfe"
upstream_id"021773270098260c0f1672f4b1c3107d0b8535f43b945c7b28b61"
total_cost0.00901
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
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1041
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)
75.98% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1041
totalAiIsms5
found
0
word"clenching"
count1
1
word"glinting"
count1
2
word"unreadable"
count1
3
word"echoed"
count1
4
word"chaotic"
count1
highlights
0"clenching"
1"glinting"
2"unreadable"
3"echoed"
4"chaotic"
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
narrationSentences66
matches(empty)
99.57% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences66
filterMatches
0"watch"
1"think"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences66
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen53
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1039
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions54
wordCount1039
uniqueNames19
maxNameDensity0.96
worstName"Herrera"
maxWindowNameDensity2
worstWindowName"Herrera"
discoveredNames
Harlow8
Raven3
Nest3
Soho2
Tomás1
Herrera10
Morris6
Met2
Saint1
Christopher1
Charing1
Cross1
Road2
Camden3
Quinn1
Tube2
Veil1
Market3
You3
persons
0"Harlow"
1"Nest"
2"Tomás"
3"Herrera"
4"Morris"
5"Met"
6"Saint"
7"Christopher"
8"Quinn"
9"Market"
10"You"
places
0"Soho"
1"Charing"
2"Cross"
3"Road"
4"Camden"
5"Tube"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences43
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1039
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences66
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs17
mean61.12
std45.23
cv0.74
sampleLengths
0161
125
28
3127
4104
563
614
717
814
9101
10110
1128
1230
1397
1455
1538
1647
94.63% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences66
matches
0"been boarded"
1"was bricked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs190
matches
0"was creaking"
56.28% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences66
ratio0.03
matches
0"She gained half a block on Herrera as he paused to let a black cab pass, his jacket sleeve riding up to show the thin, pale scar slicing along his left forearm—matching the report of the knife attack that had put him in hospital three years prior, just weeks before Morris died."
1"Muffled chatter rose from the gap, nothing like the street’s sharp, chaotic noise—this was the low hum of a crowd, hidden underground."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1047
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.01623686723973257
lyAdverbCount3
lyAdverbRatio0.0028653295128939827
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences66
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences66
mean15.74
std12.83
cv0.815
sampleLengths
031
137
247
346
47
518
61
72
85
93
1027
1121
1233
1326
147
155
165
1752
1827
1925
2019
2121
2223
231
2413
2510
267
278
282
294
302
314
3225
3338
3432
3535
3622
3722
3828
393
4013
4115
4210
433
444
456
464
473
4815
4932
50.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.36363636363636365
totalSentences66
uniqueOpeners24
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences61
matches(empty)
ratio0
3.61% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences61
matches
0"She’d staked out the Raven’s"
1"She’d memorized Tomás Herrera’s file"
2"His boots slapped the wet"
3"I just want to talk."
4"He didn’t slow."
5"He wove between groups of"
6"She thought of Morris, three"
7"She gained half a block"
8"He twisted out of her"
9"She chased him for another"
10"I’ll put a bullet in"
11"He paused for half a"
12"His warm brown eyes were"
13"You don’t know what you’re"
14"He knew her name."
15"She’d worn a baseball cap"
16"She lunged forward, fingers brushing"
17"She was twenty feet from"
18"She’d heard whispers of the"
19"He held up the bone"
ratio0.541
9.18% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount55
totalSentences61
matches
0"She’d staked out the Raven’s"
1"She’d memorized Tomás Herrera’s file"
2"Herrera skidded to a halt,"
3"His boots slapped the wet"
4"I just want to talk."
5"He didn’t slow."
6"He wove between groups of"
7"Rain plastered her closely cropped"
8"She thought of Morris, three"
9"An hour later, she’d found"
10"The coroner ruled it a"
11"The Met buried the case."
12"Harlow had never stopped digging."
13"She gained half a block"
14"A silver Saint Christopher medallion"
15"He twisted out of her"
16"She chased him for another"
17"The canal ran black as"
18"Drunks stumbled out of a"
19"I’ll put a bullet in"
ratio0.902
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences61
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount10
matches
0"She’d staked out the Raven’s Nest for three nights straight, the bar’s green neon sign bleeding lime into the puddles of Soho’s backstreets, watching every patr…"
1"She’d memorized Tomás Herrera’s file two weeks prior: the former paramedic who’d lost his NHS license for treating patients no doctor would touch, the guy who r…"
2"He wove between groups of clubbers queuing under umbrellas, slipped past a kebab cart’s steam cloud, and left Harlow to weave through the chaos, her lungs burni…"
3"She thought of Morris, three years prior, the two of them chasing a suspect through these same streets, his laugh crackling over their comms as he teased her fo…"
4"She gained half a block on Herrera as he paused to let a black cab pass, his jacket sleeve riding up to show the thin, pale scar slicing along his left forearm—…"
5"A silver Saint Christopher medallion bounced against his chest, glinting in the flash of a street light, and Harlow lunged, grabbing for the back of his hood."
6"He twisted out of her grip, sprinting north up Charing Cross Road, past shuttered bookstores and 24-hour laundromats, their fluorescent light bleeding onto the …"
7"She lunged forward, fingers brushing his hood’s edge, but he slipped away, sprinting down an unlit side street that led to the abandoned Camden Road Tube statio…"
8"A low, thrumming click echoed, and the door swung inward, pouring blackness that smelled of jasmine, burnt iron, and something sweet, unidentifiable."
9"She’d heard whispers of the Veil Market, the supernatural black market that moved locations every full moon, set up in the abandoned Tube station beneath Camden…"
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
79.6415%