Run: 2026-02-19-01KHT00P6K3ES8V6W7A4PDRH8S

Run Details

Duration:
56.6s
Cost:
$0.001371
Provider:
DeepInfra

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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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
The flicker of emergency lights painted the crumbling tiles of the abandoned Tube station in pulses of red and blue. Detective Harlow Quinn stepped off the rusted escalator, her boots crunching over shattered glass and debris. The air was thick with the scent of damp concrete and something metallic—iron, maybe. She adjusted the worn leather watch on her wrist, her sharp jaw tightening as she surveyed the scene. Uniformed officers stood in clusters, their voices low and tense. A body lay sprawled near the platform’s edge, partially obscured by a tattered curtain that hung from a makeshift stall. The Veil Market had been here, that much was clear. Stalls had been hastily abandoned, their wares left behind: jars of glowing substances, strange trinkets, and scrolls inscribed with symbols she couldn’t decipher. “Quinn.” The voice came from her left. DS Morris’s replacement, Detective Collins, approached with a clipboard in hand. His tie was loosened, and his face bore the fatigue of a long shift. “Victim’s name is Eva Kowalski. Twenty-six. Research assistant at the British Museum. Found by a couple of urban explorers who stumbled in.” Harlow’s gaze flicked to the body. Eva Kowalski lay face down, her curly red hair splayed against the grimy floor. Her round glasses were cracked, and her leather satchel lay open nearby, its contents spilled: books, notes, and a small brass compass. The casing had a patina of verdigris, and the face was etched with protective sigils. A Veil Compass. Harlow’s eyes narrowed. “Cause of death?” she asked. “Initial assessment suggests a fall,” Collins said, nodding toward the platform’s edge. “But there’s no train here, so…” He trailed off, shrugging. Harlow knelt beside the body, her movements precise and deliberate. She examined Eva’s hands first. No defensive wounds, no signs of a struggle. Her nails were clean, save for a faint trace of dirt. “She wasn’t fighting anyone.” “Maybe she tripped,” Collins offered. “This place is a death trap.” Harlow ignored him, her focus shifting to Eva’s satchel. She picked up the compass, turning it over in her hands. The needle spun erratically before settling to point toward the platform’s edge. She glanced in that direction but saw nothing except the darkened tunnel. “She wasn’t just here for the market. She was looking for something.” “Looking for what?” “Something specific.” Harlow stood, slipping the compass into her coat pocket. “Did you find her phone?” Collins shook his head. “No personal effects except the satchel.” Harlow’s eyes swept the scene again. The stalls were in disarray, but there was something off about the placement of the body. Eva hadn’t been near any stall when she fell. She’d been near the platform’s edge, as if she’d been walking toward the tunnel. “She wasn’t pushed,” Harlow said, more to herself than to Collins. “What makes you say that?” “No signs of a struggle, no bruising. If someone pushed her, they’d have had to catch her off guard from behind. But look at her posture—she’s facing the tunnel. She saw something.” Collins raised an eyebrow. “You think she jumped?” Harlow didn’t answer. She stepped closer to the platform’s edge, peering into the darkness. Her flashlight cut through the gloom, illuminating graffiti-covered walls and scattered debris. Nothing unusual, except—there. A faint shimmer, like heat rising off asphalt, hovered just beyond the beam’s reach. “What is that?” Collins asked, squinting. “Stay here.” Harlow turned off her flashlight and waited. Her eyes adjusted to the darkness, and the shimmer became clearer—a distortion in the air, barely perceptible but unmistakable. She pulled the compass from her pocket. The needle pointed directly at the distortion. “Quinn,” Collins said, his voice uneasy. “What are you seeing?” She didn’t answer. Instead, she took a step closer, her military bearing unwavering. The distortion shifted, rippling like water disturbed by a stone. She reached out, her fingers brushing the edge of it. A cold, electric sensation shot up her arm, and she jerked her hand back. “We’re done here,” she said, turning sharply. Collins blinked. “What? We’ve barely started processing the scene.” “This isn’t your average homicide. Get a forensics team in, but tell them not to touch anything near the platform’s edge. And get me everything you can find on Eva Kowalski—her work, her research, her associates.” Collins hesitated, his gaze flicking between Harlow and the platform. “You think there’s something… supernatural here?” Harlow’s jaw tightened. She didn’t believe in ghosts or monsters—not yet, anyway. But three years ago, DS Morris had died investigating a case that defied explanation. She’d seen the evidence, heard the whispers, but refused to accept it. Now, standing in the shadowed depths of the Veil Market, she couldn’t ignore the feeling crawling up her spine. “Just do it,” she said, her voice clipped. She turned and walked back toward the escalator, the compass heavy in her pocket. The distortion lingered in her mind, a puzzle piece that didn’t fit. Eva Kowalski hadn’t fallen. She’d been pulled.
created_at"2026-02-19T03:45:05.758Z" 2/19/2026, 3:45:05 AM
model"deepseek/deepseek-chat-v3"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency381
moderation_latency(null)
generation_time56521
tokens_prompt1149
tokens_completion1396
native_tokens_prompt1032
native_tokens_completion1169
native_tokens_completion_images(null)
native_tokens_reasoning0
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"
usage0.00137065
router(null)
provider_responses
0
endpoint_id"5294d55f-9012-496b-8f22-8cc919432dcd"
id"chatcmpl-R3uMCgqoCaybGKpBmyDNjjIU"
is_byokfalse
latency63
model_permaslug"deepseek/deepseek-chat-v3"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771472705-Fs2D3EBRXMDxN266Ee7h"
upstream_id"chatcmpl-R3uMCgqoCaybGKpBmyDNjjIU"
total_cost0.00137065
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags12
adverbTagCount0
adverbTags(empty)
dialogueSentences26
tagDensity0.462
leniency0.923
rawRatio0
effectiveRatio0
93.99% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount832
totalAiIsmAdverbs1
found
0
adverb"sharply"
count1
highlights
0"sharply"
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)
45.91% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount832
totalAiIsms9
found
0
word"flicker"
count1
1
word"shattered"
count1
2
word"flicked"
count1
3
word"etched"
count1
4
word"eyebrow"
count1
5
word"gloom"
count1
6
word"unwavering"
count1
7
word"electric"
count1
8
word"depths"
count1
highlights
0"flicker"
1"shattered"
2"flicked"
3"etched"
4"eyebrow"
5"gloom"
6"unwavering"
7"electric"
8"depths"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"eyes widened/narrowed"
count1
1
label"air was thick with"
count1
highlights
0"eyes narrowed"
1"The air was thick with"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences66
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences66
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences80
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen37
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords824
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions41
wordCount637
uniqueNames11
maxNameDensity1.88
worstName"Harlow"
maxWindowNameDensity3.5
worstWindowName"Harlow"
discoveredNames
Tube1
Harlow12
Quinn1
Veil3
Market2
Morris2
Detective2
Collins10
Kowalski2
Compass1
Eva5
persons
0"Harlow"
1"Quinn"
2"Market"
3"Morris"
4"Detective"
5"Collins"
6"Kowalski"
7"Compass"
8"Eva"
places(empty)
globalScore0.558
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences47
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount824
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences80
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs27
mean30.52
std21.71
cv0.711
sampleLengths
068
163
254
363
45
522
638
711
856
93
1016
1110
1256
135
1432
158
1643
176
1842
1910
2047
217
229
2336
2416
2557
2641
89.31% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences66
matches
0"was loosened"
1"was etched"
2"been pulled"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs116
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences4
totalSentences80
ratio0.05
matches
0"The air was thick with the scent of damp concrete and something metallic—iron, maybe."
1"Nothing unusual, except—there."
2"Her eyes adjusted to the darkness, and the shimmer became clearer—a distortion in the air, barely perceptible but unmistakable."
3"She didn’t believe in ghosts or monsters—not yet, anyway."
88.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount642
adjectiveStacks2
stackExamples
0"lay open nearby, its"
1"illuminating graffiti-covered walls"
adverbCount14
adverbRatio0.021806853582554516
lyAdverbCount7
lyAdverbRatio0.010903426791277258
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences80
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences80
mean10.3
std6.38
cv0.62
sampleLengths
020
116
214
318
410
520
610
723
87
911
1014
1122
126
1314
1422
1515
163
173
185
1912
2010
2110
225
238
2411
254
265
276
289
2911
3012
3112
3212
333
3411
355
364
376
386
3916
409
4114
4211
435
4432
454
464
473
4811
4912
62.08% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.3875
totalSentences80
uniqueOpeners31
52.91% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences63
matches
0"Instead, she took a step"
ratio0.016
86.67% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences63
matches
0"She adjusted the worn leather"
1"His tie was loosened, and"
2"Her round glasses were cracked,"
3"He trailed off, shrugging"
4"She examined Eva’s hands first."
5"Her nails were clean, save"
6"She picked up the compass,"
7"She glanced in that direction"
8"She’d been near the platform’s"
9"She stepped closer to the"
10"Her flashlight cut through the"
11"Her eyes adjusted to the"
12"She pulled the compass from"
13"She didn’t answer."
14"She reached out, her fingers"
15"she said, turning sharply"
16"She didn’t believe in ghosts"
17"She’d seen the evidence, heard"
18"she said, her voice clipped"
19"She turned and walked back"
ratio0.333
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount58
totalSentences63
matches
0"The flicker of emergency lights"
1"Detective Harlow Quinn stepped off"
2"The air was thick with"
3"She adjusted the worn leather"
4"A body lay sprawled near"
5"The Veil Market had been"
6"Stalls had been hastily abandoned,"
7"The voice came from her"
8"DS Morris’s replacement, Detective Collins,"
9"His tie was loosened, and"
10"Harlow’s gaze flicked to the"
11"Eva Kowalski lay face down,"
12"Her round glasses were cracked,"
13"The casing had a patina"
14"A Veil Compass."
15"Harlow’s eyes narrowed."
16"Collins said, nodding toward the"
17"He trailed off, shrugging"
18"Harlow knelt beside the body,"
19"She examined Eva’s hands first."
ratio0.921
79.37% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences63
matches
0"Now, standing in the shadowed"
ratio0.016
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences35
technicalSentenceCount1
matches
0"A body lay sprawled near the platform’s edge, partially obscured by a tattered curtain that hung from a makeshift stall."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount3
matches
0"Harlow said, more to herself than to Collins"
1"Collins said, his voice uneasy"
2"she said, her voice clipped"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount0
fancyTags(empty)
dialogueSentences26
tagDensity0.269
leniency0.538
rawRatio0
effectiveRatio0
80.4970%