Run: 2026-02-20-01KHY82Q5ACXXTSH098V1XH1T6

Run Details

Duration:
19.8s
Cost:
$0.001044
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 slashes down, stripping the street of light. Quinn’s boots squelch through puddles, each step a metronome against the roar. The suspect—lean, dark coat flapping—cuts left, colliding with a lamppost. He staggers, snatches a newspaper from a vendor’s stand, and presses it to his head. The vendor yells, but Quinn’s already on him, shoulder checking his ribs. He grunts, drops the paper, and sprints. His boots click on a grate—storm drain, she bets—scrabbling for purchase on the wet metal. She doesn’t call out. Let him know she’s coming. Let him run. After 18 years, she knows the rhythm of a man in a chase: the split second before he overreaches, the way his breath hitches when he thinks he’s safe. He turns down an alley. Trash bins number two, three—knocked over, lids clattering. He dips behind a wall, and Quinn skids to a halt, flashlight flaring. The wall’s a patchwork of brick and weathered wood, but at its base, a bookshelf juts out, crowded with tattered novels. *Not a bookshelf*, she thinks. *A door.* The suspect’s hand brushes the top shelf, and—*creak*—it swings open, revealing a staircase spiraling down. She flicks the flashlight off. Heat bleeds from her palms, not from fear, but from the press of her service weapon. The air below smells of damp stone and something sweeter—rot? No. Incense. She counts to ten, listens. A distant *clink*—a glass, maybe. Then silence. Quinn eases the bookshelf open wider, slips through. The steps are narrow, worn, slick with moss. At the bottom, she pauses, eyes adjusting. The space is taller than a cellar, wider than a subway tunnel. Light glows from cracks in the walls—fairy lights, maybe, or magic. She follows it, her boots silent on stone. The market hits her before she sees it: a hum, a murmur, the sharp tang of something metallic. She rounds a corner, and it unfolds—stalls lined up like a street market, but for beaks that click, scales that glint, antlers that brush the ceiling. A vendor with a goat’s head grinds herbs in a mortar; a woman with skin like water holds up a glowing ring, its light shifting from blue to gold. And there he is, halfway across, talking to a man with a wolf’s head. The suspect’s coat is gone, now—just a dark shirt, sleeves rolled up, a scar snaking up his forearm. *Tomás*, she realizes. The paramedic. The one who treats the clique. But why run? Tomás turns, his eyes meeting hers. He freezes, then snatches a small bone from his pocket—carved, ridged—and holds it up. The wolf-man leans in, speaks too fast. Tomás shoves the bone into a slot in a stall, and the wall ripples, vanishing like water. He dives through, and the wall snaps back, solid. Quinn sprints. The crowd parts, murmuring, as she weaves between stalls. A goblin hisses, swiping at her ankle—she kicks, sends it sprawling. A vampire in a black coat hisses, blocking her path. “Move,” she growls, and he steps aside, eyes flicking to the bone in her pocket—her only token, the one Morris gave her before… before. She reaches the wall where Tomás vanished. The surface is smooth, cold, no slot. She presses her palm to it, feels a faint vibration. *Magic*, she thinks. But not the kind she’s filed reports on. The kind that ate Morris. A hand closes around her wrist. She twists, slams her elbow into the attacker’s gut. He howls—half man, half dog—and she breaks free. The bone in her pocket burns. Not a physical burn, but a ache, like her watch’s metal has seared into her skin. She checks it: the leather’s cracked, the face fogged. 11:17. Tomás is gone. But she hears him—low, rapid speech—in a back corner, where stalls are shielded by tattered curtains. She picks her way through, boots crunching on glass. The curtain at the back is thin—she parts it, and her breath catches. The room is smaller than the market, dimly lit by a single torch. Tomás is here, standing over a table. On it: a vial, glowing green, and a phone—bright, illuminating the face. He’s talking, his Spanish thick and fast. “—she’ll be here by midnight. You know what happens if she finds out—” Quinn steps forward, weapon raised. “Drop it, Tomás.” He freezes. Slowly, he turns. His saint Christopher medallion glints against his olive skin. “Detective,” he says, calm. “You shouldn’t have followed.” “Where is it?” she snaps. “The thing from the old warehouse. The one that killed Morris.” Tomás shakes his head. “I don’t know what you’re talking about.” She slams the barrel of her gun into the vial. It shatters, green liquid seeping into the wood. Tomás’ eyes widen. “That was my last painkiller. For my shoulder.” “Dialogue later,” she says. “I want answers.” A noise from the door. She spins, but it’s only a rat, scurrying. Tomás is already moving, reaching under the table. She pulls the trigger—once, twice. The bullet grazes his arm. He grunts, the scar on his forearm stretching wider, blood welling. “Stop!” he says, and for a second, his voice breaks. “You think I wanted this? He made me—” A thud from the street above. Then a *rumble*—the bookshelf sliding open. Quinn’s head snaps up. Tomás takes the chance, dives past her, and sprints for the door. She turns, sees the torch flicker out. The market is loud again—shouts, laughter, the clatter of stalls. Tomás is halfway across, weaving through the crowd. She checks her watch. 11:23. Morris’ last words echo: *“Quinn, they’re not just people. You can’t—”* Can’t what? Look away? She leans into a sprint, overtaking a harpy who squawks at her. Tomás is ahead, now, almost at the staircase. She calls out, but he doesn’t hear—too close to the light. She’s two steps behind when he vanishes through the bookshelf. The world freezes. Quinn skids to a halt, hand on the shelf. The top book is a romance novel, its cover faded. She pushes it. The shelf swings open. Below, the market is dim, but she can see Tomás haggling with a stranger—a man with no eyes, his sockets glowing. Tomás hands over the bone token, and the wall ripples again. Quinn takes a step back, then forward, into the dark. Behind her, the bookshelf slides shut. And far below, in the deepest part of the market, a low, wet laugh echoes. Rain slashes down, but it doesn’t reach her.
created_at"2026-02-20T19:22:58.613Z" 2/20/2026, 7:22:58 PM
model"bytedance-seed/seed-1.6-flash-20250625"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency971
moderation_latency(null)
generation_time19603
tokens_prompt1140
tokens_completion3428
native_tokens_prompt1153
native_tokens_completion3193
native_tokens_completion_images(null)
native_tokens_reasoning1564
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"
usage0.001044375
router(null)
provider_responses
0
endpoint_id"e01a1227-001b-44d4-a376-90850668fa84"
id"021771615379091ef9a07adf34cf0fac1320e81624057e0a9ca27"
is_byokfalse
latency698
model_permaslug"bytedance-seed/seed-1.6-flash-20250625"
provider_name"Seed"
status200
api_type"completions"
id"gen-1771615378-XEiXA1x7d4ciixnMEp2W"
upstream_id"021771615379091ef9a07adf34cf0fac1320e81624057e0a9ca27"
total_cost0.001044375
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
totalTags6
adverbTagCount0
adverbTags(empty)
dialogueSentences14
tagDensity0.429
leniency0.857
rawRatio0
effectiveRatio0
95.43% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1095
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"slowly"
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)
77.17% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1095
totalAiIsms5
found
0
word"silence"
count1
1
word"glint"
count1
2
word"flicker"
count1
3
word"echo"
count1
4
word"echoes"
count1
highlights
0"silence"
1"glint"
2"flicker"
3"echo"
4"echoes"
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
narrationSentences116
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount0
narrationSentences116
filterMatches
0"know"
1"watch’s"
2"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences125
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans8
markdownWords17
totalWords1071
ratio0.016
matches
0"Not a bookshelf"
1"A door."
2"creak"
3"clink"
4"Tomás"
5"Magic"
6"rumble"
7"“Quinn, they’re not just people. You can’t—”"
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
totalMentions27
wordCount998
uniqueNames6
maxNameDensity1.3
worstName"Tomás"
maxWindowNameDensity3
worstWindowName"Tomás"
discoveredNames
Quinn9
Morris2
Tomás13
Spanish1
Christopher1
Can1
persons
0"Quinn"
1"Morris"
2"Tomás"
3"Christopher"
4"Can"
places(empty)
globalScore0.849
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences78
glossingSentenceCount0
matches(empty)
13.26% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords1.867
wordCount1071
matches
0"not from fear, but from the press of her service weapon"
1"Not a physical burn, but a ache, like her watch’s metal has seared into her skin"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences125
matches
0"scales that glint"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs33
mean32.45
std21.38
cv0.659
sampleLengths
079
141
269
345
454
573
646
753
856
940
1055
1141
1252
138
1422
1516
1611
1729
187
1942
2018
2112
2241
2316
244
2541
263
2726
2832
2910
306
3115
328
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences116
matches
0"are shielded"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs182
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount27
semicolonCount1
flaggedSentences22
totalSentences125
ratio0.176
matches
0"The suspect—lean, dark coat flapping—cuts left, colliding with a lamppost."
1"His boots click on a grate—storm drain, she bets—scrabbling for purchase on the wet metal."
2"Trash bins number two, three—knocked over, lids clattering."
3"*A door.* The suspect’s hand brushes the top shelf, and—*creak*—it swings open, revealing a staircase spiraling down."
4"The air below smells of damp stone and something sweeter—rot?"
5"A distant *clink*—a glass, maybe."
6"Light glows from cracks in the walls—fairy lights, maybe, or magic."
7"She rounds a corner, and it unfolds—stalls lined up like a street market, but for beaks that click, scales that glint, antlers that brush the ceiling."
8"A vendor with a goat’s head grinds herbs in a mortar; a woman with skin like water holds up a glowing ring, its light shifting from blue to gold."
9"The suspect’s coat is gone, now—just a dark shirt, sleeves rolled up, a scar snaking up his forearm."
10"He freezes, then snatches a small bone from his pocket—carved, ridged—and holds it up."
11"A goblin hisses, swiping at her ankle—she kicks, sends it sprawling."
12"“Move,” she growls, and he steps aside, eyes flicking to the bone in her pocket—her only token, the one Morris gave her before…"
13"He howls—half man, half dog—and she breaks free."
14"But she hears him—low, rapid speech—in a back corner, where stalls are shielded by tattered curtains."
15"The curtain at the back is thin—she parts it, and her breath catches."
16"On it: a vial, glowing green, and a phone—bright, illuminating the face."
17"She pulls the trigger—once, twice."
18"Then a *rumble*—the bookshelf sliding open."
19"The market is loud again—shouts, laughter, the clatter of stalls."
20"She calls out, but he doesn’t hear—too close to the light."
21"Below, the market is dim, but she can see Tomás haggling with a stranger—a man with no eyes, his sockets glowing."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount775
adjectiveStacks1
stackExamples
0"suspect—lean, dark coat"
adverbCount16
adverbRatio0.02064516129032258
lyAdverbCount3
lyAdverbRatio0.003870967741935484
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences125
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences125
mean8.57
std5.53
cv0.645
sampleLengths
08
112
210
315
412
57
615
74
85
93
1029
115
128
1313
1421
155
1617
175
1816
1910
201
211
225
235
242
258
268
277
2812
2911
308
3118
3226
3329
3414
3518
363
372
386
393
406
4114
427
4317
449
452
469
4711
4810
4923
48.78% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.3170731707317073
totalSentences123
uniqueOpeners39
64.72% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences103
matches
0"Slowly, he turns."
1"Then a *rumble*—the bookshelf sliding"
ratio0.019
84.08% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount35
totalSentences103
matches
0"He staggers, snatches a newspaper"
1"He grunts, drops the paper,"
2"His boots click on a"
3"She doesn’t call out."
4"He turns down an alley."
5"He dips behind a wall,"
6"She flicks the flashlight off."
7"She counts to ten, listens."
8"She follows it, her boots"
9"She rounds a corner, and"
10"He freezes, then snatches a"
11"He dives through, and the"
12"she growls, and he steps"
13"She reaches the wall where"
14"She presses her palm to"
15"She twists, slams her elbow"
16"He howls—half man, half dog—and"
17"She checks it: the leather’s"
18"She picks her way through,"
19"He’s talking, his Spanish thick"
ratio0.34
52.23% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount84
totalSentences103
matches
0"Quinn’s boots squelch through puddles,"
1"The suspect—lean, dark coat flapping—cuts"
2"He staggers, snatches a newspaper"
3"The vendor yells, but Quinn’s"
4"He grunts, drops the paper,"
5"His boots click on a"
6"She doesn’t call out."
7"He turns down an alley."
8"Trash bins number two, three—knocked"
9"He dips behind a wall,"
10"The wall’s a patchwork of"
11"*A door.* The suspect’s hand"
12"She flicks the flashlight off."
13"Heat bleeds from her palms,"
14"The air below smells of"
15"She counts to ten, listens."
16"A distant *clink*—a glass, maybe."
17"Quinn eases the bookshelf open"
18"The steps are narrow, worn,"
19"The space is taller than"
ratio0.816
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences103
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences41
technicalSentenceCount1
matches
0"Below, the market is dim, but she can see Tomás haggling with a stranger—a man with no eyes, his sockets glowing."
41.67% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags6
uselessAdditionCount1
matches
0"he says, calm"
7.14% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount2
fancyTags
0"she growls (growl)"
1"she snaps (snap)"
dialogueSentences14
tagDensity0.357
leniency0.714
rawRatio0.4
effectiveRatio0.286
78.1718%