Run: 2026-02-19-01KHT0KD1W3KSX985XK5E1SKPV

Run Details

Duration:
1m 12s
Cost:
$0.000964
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 abandoned Tube station beneath Camden smelled of damp concrete and something metallic—blood, maybe, or rust from the disused tracks. Detective Harlow Quinn ducked under the police tape, her boots crunching over broken glass. The flickering emergency lights cast jagged shadows across the platform, turning the graffiti-covered pillars into looming sentinels. At the far end, a forensics team clustered around a body sprawled near the tracks. Quinn’s sharp jaw tightened as she approached. The victim—male, early thirties, dressed in a dark suit—lay face-down, one arm outstretched as if reaching for something. No visible wounds, no blood pooling beneath him. Just the unnatural stillness of the recently dead. "Quinn." Eva Kowalski stood by the platform edge, her round glasses reflecting the dim light. She clutched her worn leather satchel against her hip, fingers drumming against the strap. "You’re here early," Quinn said. Eva tucked a curl of red hair behind her ear. "They called me in. Thought it might be... unusual." Quinn crouched beside the body, her knees protesting. She snapped on gloves and turned the man’s wrist. No watch. No wallet. Just a faint, spiraling mark burned into his skin—a sigil she didn’t recognize. "Robbery?" Eva shook her head. "Nothing was taken. His phone’s still in his pocket. Cards, cash—all there." Quinn frowned. "Then why drag him down here?" Eva hesitated. "Maybe he wasn’t dragged." Quinn shot her a look. Eva’s freckled face was pale under the fluorescents. "Look at his shoes." Eva pointed. "No scuff marks. No dirt. If he’d walked here through the tunnels, they’d be filthy." Quinn’s gaze flicked to the victim’s polished oxfords. Spotless. "So he was killed here." "Or brought here after." Eva’s voice dropped. "But look at the platform. No drag marks. No disturbance in the dust." Quinn straightened, scanning the scene. The forensics team worked methodically, but their movements were too slow, their voices too hushed. Something was off. She stepped back, her military-trained eyes picking apart the details. The body lay perfectly centered between two pillars. The tiles beneath him were clean—no grime, no debris. As if the spot had been prepared. "Who found him?" "Anonymous tip. Patrol unit responded." Eva shifted her satchel. "They said the lights were out when they arrived. Had to use torches." Quinn’s fingers brushed the worn leather of her watch strap. "Lights work now." Eva nodded. "Came on by themselves about ten minutes before I got here." A chill prickled Quinn’s neck. She moved toward the tracks, peering into the darkness. The rails gleamed faintly, too polished for a disused line. "You ever heard of the Veil Market?" Eva asked suddenly. Quinn turned. "What?" Eva wet her lips. "Rumor. An underground market. Moves locations. Sells things you can’t get anywhere else." Quinn’s pulse kicked. "What kind of things?" Eva’s green eyes flicked to the body. "The kind that leave marks like that." Quinn exhaled sharply. She studied the sigil again—the precise, deliberate lines. Not a brand. Something else. "You think this was supernatural." Eva didn’t answer. Quinn clenched her jaw. Three years ago, Morris had vanished chasing a lead that made no sense. She’d found his notebook later, filled with sketches of symbols like this one. She crouched again, this time examining the victim’s outstretched hand. His fingers curled slightly, as if he’d been holding something. "There’s residue." She rubbed her gloved thumb against his palm. A faint shimmer clung to the latex. "Like ash, but..." Eva knelt beside her, pulling a small brass compass from her satchel. The face was etched with intricate sigils, the needle twitching erratically. Quinn stared. "What is that?" Eva didn’t look up. "Something that shouldn’t exist." The compass needle spun wildly, then jerked to a stop—pointing straight at the body. Quinn’s skin crawled. "Eva—" A sharp crack echoed through the station. The lights flickered, died. In the sudden darkness, the compass glowed faintly green. Then the body moved.
created_at"2026-02-19T03:55:18.981Z" 2/19/2026, 3:55:18 AM
model"deepseek/deepseek-chat-v3-0324"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency649
moderation_latency(null)
generation_time71539
tokens_prompt1149
tokens_completion1131
native_tokens_prompt1032
native_tokens_completion1005
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached256
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"
usage0.00096361
router(null)
provider_responses
0
endpoint_id"820376cb-f110-4d56-ab52-5bd6ca269420"
id"chatcmpl-R3mDNt0aI407V944hrPDYgAs"
is_byokfalse
latency54
model_permaslug"deepseek/deepseek-chat-v3-0324"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771473318-ZbkD8W2pCyMI5thIf4a9"
upstream_id"chatcmpl-R3mDNt0aI407V944hrPDYgAs"
total_cost0.00096361
cache_discount0.00001664
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
totalTags7
adverbTagCount1
adverbTags
0"Eva asked suddenly [suddenly]"
dialogueSentences28
tagDensity0.25
leniency0.5
rawRatio0.143
effectiveRatio0.071
69.65% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount659
totalAiIsmAdverbs4
found
0
adverb"perfectly"
count1
1
adverb"suddenly"
count1
2
adverb"sharply"
count1
3
adverb"slightly"
count1
highlights
0"perfectly"
1"suddenly"
2"sharply"
3"slightly"
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)
16.54% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount659
totalAiIsms11
found
0
word"looming"
count1
1
word"sentinels"
count1
2
word"flicked"
count2
3
word"scanning"
count1
4
word"chill"
count1
5
word"pulse"
count1
6
word"etched"
count1
7
word"intricate"
count1
8
word"echoed"
count1
9
word"flickered"
count1
highlights
0"looming"
1"sentinels"
2"flicked"
3"scanning"
4"chill"
5"pulse"
6"etched"
7"intricate"
8"echoed"
9"flickered"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"clenched jaw/fists"
count1
highlights
0"clenched her jaw"
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)
analyzedSentences87
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen21
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords648
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount486
uniqueNames7
maxNameDensity3.29
worstName"Quinn"
maxWindowNameDensity5.5
worstWindowName"Quinn"
discoveredNames
Tube1
Camden1
Harlow1
Quinn16
Kowalski1
Eva15
Morris1
persons
0"Camden"
1"Harlow"
2"Quinn"
3"Kowalski"
4"Eva"
5"Morris"
places(empty)
globalScore0
windowScore0
82.43% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences37
glossingSentenceCount1
matches
0"as if reaching for something"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount648
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences87
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs41
mean15.8
std12.22
cv0.773
sampleLengths
051
156
229
35
419
534
61
716
88
96
1013
1121
129
135
1420
1523
1634
173
1822
1913
2013
2124
2210
233
2417
257
2614
2716
285
293
3030
3120
3220
3323
345
358
3614
374
3811
399
404
94.63% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences66
matches
0"been prepared"
1"was etched"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs94
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences6
totalSentences87
ratio0.069
matches
0"The abandoned Tube station beneath Camden smelled of damp concrete and something metallic—blood, maybe, or rust from the disused tracks."
1"The victim—male, early thirties, dressed in a dark suit—lay face-down, one arm outstretched as if reaching for something."
2"Just a faint, spiraling mark burned into his skin—a sigil she didn’t recognize."
3"The tiles beneath him were clean—no grime, no debris."
4"She studied the sigil again—the precise, deliberate lines."
5"The compass needle spun wildly, then jerked to a stop—pointing straight at the body."
90.85% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount496
adjectiveStacks0
stackExamples(empty)
adverbCount24
adverbRatio0.04838709677419355
lyAdverbCount11
lyAdverbRatio0.02217741935483871
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences87
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences87
mean7.45
std4.53
cv0.609
sampleLengths
020
114
217
315
47
518
68
78
815
914
105
1110
129
138
149
152
162
1713
181
194
2012
212
226
232
244
255
268
276
2815
298
301
315
327
3313
345
3515
363
3710
388
399
407
413
429
4313
4410
453
462
4711
485
499
61.69% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.39080459770114945
totalSentences87
uniqueOpeners34
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences55
matches
0"Just the unnatural stillness of"
1"Just a faint, spiraling mark"
2"Then the body moved."
ratio0.055
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount9
totalSentences55
matches
0"She clutched her worn leather"
1"She snapped on gloves and"
2"She stepped back, her military-trained"
3"She moved toward the tracks,"
4"She studied the sigil again—the"
5"She’d found his notebook later,"
6"She crouched again, this time"
7"His fingers curled slightly, as"
8"She rubbed her gloved thumb"
ratio0.164
41.82% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount46
totalSentences55
matches
0"The abandoned Tube station beneath"
1"Detective Harlow Quinn ducked under"
2"The flickering emergency lights cast"
3"Quinn’s sharp jaw tightened as"
4"The victim—male, early thirties, dressed"
5"Eva Kowalski stood by the"
6"She clutched her worn leather"
7"Eva tucked a curl of"
8"Quinn crouched beside the body,"
9"She snapped on gloves and"
10"Eva shook her head."
11"Quinn shot her a look."
12"Eva’s freckled face was pale"
13"Quinn’s gaze flicked to the"
14"Eva’s voice dropped"
15"Quinn straightened, scanning the scene."
16"The forensics team worked methodically,"
17"Something was off."
18"She stepped back, her military-trained"
19"The body lay perfectly centered"
ratio0.836
90.91% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences55
matches
0"As if the spot had"
ratio0.018
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences20
technicalSentenceCount1
matches
0"The victim—male, early thirties, dressed in a dark suit—lay face-down, one arm outstretched as if reaching for something."
53.57% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount1
matches
0"Eva Kowalski stood, her round glasses reflecting the dim light"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences28
tagDensity0.071
leniency0.143
rawRatio0
effectiveRatio0
83.4028%