Run: 2026-03-03-01KJV051M57MCEZFPDNT03SPQK

Run Details

Duration:
5m 10s
Cost:
$0.004424
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 slaps the asphalt in thick, cold sheets, blurring Soho’s neon signs into streaks of pink and green and blue. Detective Harlow Quinn’s boots squelched through puddles glinting with discarded cigarette butts and rainwater, her closely cropped salt-and-pepper hair plastered to the back of her neck. The leather watch strap on her left wrist soaked through within the first five minutes of the chase, heavy and damp against her skin, but she didn’t slow down. The Raven’s Nest’s green neon sign flickered behind her, half-obscured by a steaming manhole cover as she rounded the alley mouth—she’d been watching Tomás slip out of the Soho bar ten minutes prior, knowing he’d lead her straight to the clique he ran with. She’d been tailing Tomás Herrera for three weeks, ever since an anonymous tip landed in her MET inbox about a former paramedic running off-the-books medical care for folks who didn’t want to go to an NHS hospital. The tip had mentioned bite marks, weird bruises, things that didn’t line up with standard emergency care. Now she had him, darting ahead of her, his short curly dark brown hair matted to his skull, the Saint Christopher medallion hanging loose under the open zip of his leather jacket. “Herrera!” Her voice carried over the drumming rain, sharp and unyielding. She didn’t hold back the urgency in her tone, even though she knew he’d keep running. He glanced back over his shoulder, his warm brown eyes wide with panic, his olive skin pale under the streetlights, and his left forearm scar—thin, silvery, running from his wrist to his elbow—glinted in the streetlight when he swung his arm to dodge a puddle. She recognized that scar, from the police report filed after the knife attack that had cost him his paramedic license. He’d stabbed a suspect who’d tried to steal a vial of something glowing from a back-alley lab, according to the report. The vial had shattered, and the witness said the air had smelled like burnt cedar. He rounded the corner of Old Compton Street, weaving through a group of drunk tourists huddled under an awning, laughing and shoving each other. Harlow ducked around them, ignoring their startled yells, and kept her eyes locked on the back of Tomás’s leather jacket. They ran past a kebab shop whose grill had been turned off, steam from melted cabbage curling into the rain, and past a closed bookstore whose windows were plastered with faded jazz posters. The rain only got worse, soaking through her trench coat until her undershirt clung to her skin, and her feet felt filled with cold water. Ten minutes later, they reached the edge of Camden, the neon lights of the Camden Market piercing the rain for a moment before they turned down a narrow side street lined with boarded-up shopfronts. Tomás slowed for half a step, checking over his shoulder, and Harlow took the opportunity to close the gap between them, now only ten feet behind him. He spotted her, and his pace picked up again, sprinting towards a rusted, boarded-up Tube station entrance covered over with corrugated metal and plywood. A hand-painted sign nailed to the plywood read “PROPERTY OF TFL NO TRESPASSING,” but the edges of the plywood peeled away, and a gap cut out near the bottom, just big enough for a person to crawl through. Harlow had memorized every file on the Veil Market, the reports her superiors had buried after deeming them too fantastical to investigate. It moved locations every full moon, operating out of abandoned Tube stations, basement warehouses, anywhere hidden from human eyes. Its entry required a bone token, etched with ancient symbols that only members of the clique Harlow was hunting could acquire. That thought sent a sharp jolt through her—Tomás was a member of that clique. Tomás fumbled in his jacket pocket, his hands shaking so badly that he dropped the item he pulled out for a second, bending down to grab it before Harlow could reach him. It was a small, polished raven bone, smooth and worn, etched with faint silver markings that Harlow recognized from Morris’s case files. Celtic warding symbols, according to the occult consultant the MET had brought in, who’d later been found dead in his flat with no visible cause of death. Tomás pressed the bone token to a rusted grate set into the concrete wall next to the boarded-up Tube station. The grate let out a low, thrumming hum that vibrated through Harlow’s boots, and then the grate slid sideways, revealing a narrow, stone staircase that descended into total darkness. The air that billowed out of the staircase smelled like damp earth, incense, and something metallic, like blood and old iron. She froze for a split second, her hand tightening around the warrant card in her pocket. She was a detective with 18 years of decorated Metropolitan Police service, trained to radio for backup before approaching any unknown, dangerous location. Her military precision drilled into her to weigh the risks, to avoid entering uncharted territory without support. But her training didn’t account for supernatural threats. It didn’t account for the way Morris’s face flashed in her mind, the way she’d replayed his last radio call a thousand times in the quiet of her flat, picking apart every static crack, every pause, searching for any detail she’d missed. She’d spent three years chasing ghosts, and here was a lead that could finally answer why Morris had vanished, why she’d never gotten to say goodbye. Tomás’s footsteps thudded down the stairs, growing fainter by the second. Harlow’s sharp jaw tightened, and she dropped the pretense of following protocol. She pulled her service weapon from its holster under her trench coat, her hands steady despite the cold and the fear curling in her gut. She didn’t call out a warning, didn’t waste time yelling for Tomás to stop—she knew he wouldn’t stop for a police officer, not when he was this close to the market. She stepped forward, placing her boot on the first stone step of the staircase, and then the second, her boots slipping a little on the damp stone. The hum of the bone token grew louder as she descended, and the smell of incense and burnt cedar swirled around her, stinging her nose a little. She couldn’t see anything ahead of her, just the blackness swallowing her whole, but her military training kept her movements precise, her steps measured, no wasted motion. By the time she reached the bottom of the staircase, the darkness had lifted a little, and she could make out the wide, open space of the Veil Market stretching out ahead of her. Flickering candles lined the stone walls, casting golden light over rows of wooden stalls piled with strange, unidentifiable goods: vials of glowing green liquid, taxidermied ravens, old leather-bound books embossed with the same raven symbol as Tomás’s bone token. People milled between the stalls, their faces hidden under hoods and scarves, haggling in hushed tones that mixed English, Spanish, and languages Harlow didn’t recognize. A vendor walked past her carrying a tray of small carved bones, and she pressed herself against a stone pillar, keeping her weapon pointed at the ground so she wouldn’t be spotted. Tomás was standing near a stall in the center of the market, talking to a figure wearing a long black coat and a feathered headdress. Harlow peeked out from behind the pillar, her heart hammering in her chest, and listened to their conversation, her ears straining to catch every word.
created_at"2026-03-03T23:22:31.147Z" 3/3/2026, 11:22:31 PM
model"bytedance-seed/seed-2.0-mini-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1065
moderation_latency(null)
generation_time303693
tokens_prompt1140
tokens_completion12388
native_tokens_prompt1105
native_tokens_completion10784
native_tokens_completion_images(null)
native_tokens_reasoning9172
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"
usage0.0044241
router(null)
provider_responses
0
endpoint_id"9265aa87-9657-4d40-b9d7-2a70318e57d9"
id"021772580151273df1fe1cc6cb558c8468775817e951d5dee9178"
is_byokfalse
latency1065
model_permaslug"bytedance-seed/seed-2.0-mini-20260224"
provider_name"Seed"
status200
api_type"completions"
id"gen-1772580151-JeIniFipvnrimt4n2co3"
upstream_id"021772580151273df1fe1cc6cb558c8468775817e951d5dee9178"
total_cost0.0044241
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
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences2
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1262
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)
64.34% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1262
totalAiIsms9
found
0
word"glinting"
count1
1
word"flickered"
count1
2
word"standard"
count1
3
word"shattered"
count1
4
word"etched"
count2
5
word"vibrated"
count1
6
word"footsteps"
count1
7
word"measured"
count1
highlights
0"glinting"
1"flickered"
2"standard"
3"shattered"
4"etched"
5"vibrated"
6"footsteps"
7"measured"
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
emotionTells1
narrationSentences50
matches
0"e with panic"
85.71% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences50
filterMatches
0"watch"
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences51
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen47
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1257
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions50
wordCount1251
uniqueNames21
maxNameDensity0.88
worstName"Harlow"
maxWindowNameDensity2.5
worstWindowName"Harlow"
discoveredNames
Soho2
Harlow11
Quinn1
Raven1
Nest1
Tomás11
Herrera1
Saint1
Christopher1
Old1
Compton1
Street1
Camden2
Market3
Tube3
Veil2
Morris3
Metropolitan1
Police1
English1
Spanish1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Nest"
4"Tomás"
5"Herrera"
6"Saint"
7"Christopher"
8"Market"
9"Morris"
10"Police"
places
0"Soho"
1"Old"
2"Compton"
3"Street"
globalScore1
windowScore0.833
50.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences50
glossingSentenceCount2
matches
0"smelled like burnt cedar"
1"smelled like damp earth, incense, and some"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1257
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences51
matches
0"recognized that scar"
68.75% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs14
mean89.79
std35.07
cv0.391
sampleLengths
0119
186
21
3127
4102
5123
676
781
870
9132
1079
1181
12130
1350
91.23% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences50
matches
0"been turned"
1"were plastered"
2"been found"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs211
matches
0"was standing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences4
totalSentences51
ratio0.078
matches
0"The Raven’s Nest’s green neon sign flickered behind her, half-obscured by a steaming manhole cover as she rounded the alley mouth—she’d been watching Tomás slip out of the Soho bar ten minutes prior, knowing he’d lead her straight to the clique he ran with."
1"He glanced back over his shoulder, his warm brown eyes wide with panic, his olive skin pale under the streetlights, and his left forearm scar—thin, silvery, running from his wrist to his elbow—glinted in the streetlight when he swung his arm to dodge a puddle."
2"That thought sent a sharp jolt through her—Tomás was a member of that clique."
3"She didn’t call out a warning, didn’t waste time yelling for Tomás to stop—she knew he wouldn’t stop for a police officer, not when he was this close to the market."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1267
adjectiveStacks1
stackExamples
0"old leather-bound books"
adverbCount27
adverbRatio0.021310181531176007
lyAdverbCount7
lyAdverbRatio0.0055248618784530384
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences51
echoCount0
echoWords(empty)
87.10% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences51
mean24.65
std9.06
cv0.368
sampleLengths
020
126
229
344
437
517
632
71
810
916
1045
1120
1221
1315
1424
1520
1633
1725
1834
1927
2024
2138
2222
2319
2421
2514
2632
2722
2827
2920
3029
3121
3216
3323
3417
358
3642
3726
3811
3912
4025
4131
4227
4327
4427
4534
4639
4725
4832
4925
58.82% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.4117647058823529
totalSentences51
uniqueOpeners21
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences50
matches(empty)
ratio0
52.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences50
matches
0"She’d been tailing Tomás Herrera"
1"Her voice carried over the"
2"She didn’t hold back the"
3"He glanced back over his"
4"She recognized that scar, from"
5"He’d stabbed a suspect who’d"
6"He rounded the corner of"
7"They ran past a kebab"
8"He spotted her, and his"
9"It moved locations every full"
10"Its entry required a bone"
11"It was a small, polished"
12"She froze for a split"
13"She was a detective with"
14"Her military precision drilled into"
15"It didn’t account for the"
16"She’d spent three years chasing"
17"She pulled her service weapon"
18"She didn’t call out a"
19"She stepped forward, placing her"
ratio0.42
30.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount43
totalSentences50
matches
0"Detective Harlow Quinn’s boots squelched"
1"The leather watch strap on"
2"The Raven’s Nest’s green neon"
3"She’d been tailing Tomás Herrera"
4"The tip had mentioned bite"
5"Her voice carried over the"
6"She didn’t hold back the"
7"He glanced back over his"
8"She recognized that scar, from"
9"He’d stabbed a suspect who’d"
10"The vial had shattered, and"
11"He rounded the corner of"
12"Harlow ducked around them, ignoring"
13"They ran past a kebab"
14"The rain only got worse,"
15"Tomás slowed for half a"
16"He spotted her, and his"
17"A hand-painted sign nailed to"
18"Harlow had memorized every file"
19"It moved locations every full"
ratio0.86
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences50
matches
0"Now she had him, darting"
1"By the time she reached"
ratio0.04
23.81% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences48
technicalSentenceCount8
matches
0"She’d been tailing Tomás Herrera for three weeks, ever since an anonymous tip landed in her MET inbox about a former paramedic running off-the-books medical car…"
1"The tip had mentioned bite marks, weird bruises, things that didn’t line up with standard emergency care."
2"She recognized that scar, from the police report filed after the knife attack that had cost him his paramedic license."
3"Tomás fumbled in his jacket pocket, his hands shaking so badly that he dropped the item he pulled out for a second, bending down to grab it before Harlow could …"
4"The grate let out a low, thrumming hum that vibrated through Harlow’s boots, and then the grate slid sideways, revealing a narrow, stone staircase that descende…"
5"The air that billowed out of the staircase smelled like damp earth, incense, and something metallic, like blood and old iron."
6"She stepped forward, placing her boot on the first stone step of the staircase, and then the second, her boots slipping a little on the damp stone."
7"Harlow peeked out from behind the pillar, her heart hammering in her chest, and listened to their conversation, her ears straining to catch every word."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
79.6367%