Run: 2026-04-25-01KQ2FFNQ509E7HF41C9JZ98PQ

Run Details

Duration:
23.8s
Cost:
$0.000499
Provider:
DeepSeek

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 bare bulb hanging from the ceiling cast jaundiced light across the abandoned ticket booth. Det. Harlow Quinn stood with her hands on her hips, breathing through her mouth to avoid the smell — damp earth, rusted metal, and something else. Something sweet and chemical that clung to the back of her throat. The body lay sprawled across the old platform tiles, limbs arranged in a way that made Quinn’s gut tighten. Male, mid-thirties, dressed in a cheap suit that had seen better days. His eyes stared at nothing, mouth slightly open as if he’d been mid-sentence when death arrived. “Found him at 0347 hours,” said PC Dawes from somewhere behind her left shoulder. “Patrol unit caught a report of a break-in at the Camden Lock entrance. Followed the disturbance down.” Quinn circled the body slowly, her footsteps echoing in the cavernous space. The old station had been sealed since the 90s, but someone had been busy. Tea lights lined the platform edge, their flames long dead. A circle had been drawn on the concrete in something dark and flaking. “No visible wounds,” she said, more to herself than Dawes. “Coroner’s on his way, but initial assessment suggests cardiac arrest. Possible overdose.” “Bullshit.” Dawes shifted his weight. “Ma’am?” Quinn crouched, close enough to see the fine layer of dust on the victim’s jacket. No disturbance patterns. If he’d fallen, there should be scuffing. Rucking. He’d been laid out like a mannequin. “This is a placement, not a collapse.” She gestured without touching. “Look at his hands. Palms up, fingers relaxed. Someone arranged him after death. Put him in this position.” The station fell quiet except for the drip of water somewhere deeper in the tunnels. Quinn straightened and turned to face the circle. Arcane symbols, roughly drawn. Not ritualistic in any religious sense she recognised, but something else. Something that made the fine hairs on the back of her neck stand at attention. “Have you called for a forensic occultist?” Dawes’s silence told her everything. “Sir, we don’t have a budget for—” “Then get me Eva Kowalski from the British Museum. She’s on the restricted archives desk. Tell her Quinn sent for her.” She pulled out her torch and swept the beam along the tunnel walls. Graffiti covered the old advertising boards — layered tags and crude drawings, but some symbols stood out. Deliberate. Precise. A stylised eye with a crescent moon for a pupil. “This place isn’t a crime scene,” she said softly. “It’s a marketplace.” Dawes stepped closer. “A what?” “The Veil Market. Moves locations every full moon. Bone token entry.” She played the torch across the platform. “Look at the wear patterns on the floor. Hundreds of feet have passed through here recently. Fresh scuff marks near the old ticket gate. This station’s been active, Dawes. Very active.” “But the records show it’s been sealed for decades.” “Records lie.” Quinn clicked off the torch and turned to face her constable. “Did you check his pockets?” Dawes held up an evidence bag. Inside, a small brass compass with verdigris eating at its casing. The face was etched with symbols Quinn recognised — protective sigils she’d seen in Eva’s reference books. The needle sat frozen, pointing directly at the dead man’s chest. “That,” she said, “is a Veil Compass. Crafted by a Shade artisan. Points toward supernatural rifts.” “So he was carrying some kind of fancy compass. Doesn’t mean—” “The needle points at him, Dawes. Compasses don’t point at people unless there’s a reason.” She pulled on latex gloves and took the evidence bag, holding it up to the light. “This isn’t a drug overdose. This is a threshold crossing gone wrong.” The station entrance groaned, metal scraping against concrete. Eva Kowalski emerged from the stairwell, curly red hair escaping from under a knit beanie, round glasses fogged from the temperature change. She clutched her worn leather satchel like a shield. “Quinn.” She nodded, breathing hard. “Got your message. Dawes gave me the basics.” “The basics aren’t enough.” Quinn stepped aside, revealing the body. Eva moved forward, her green eyes scanning the scene with a researcher’s precision. She knelt beside the circle, not touching it, but close enough to examine the symbols. Her fingers twitched as if tracing the lines in the air. “He was trying to open something,” she said quietly. “These are gateway markings. Incomplete. He messed up the anchor point — should have been here—” She pointed at a smudged symbol. “—but he placed it wrong.” “Mistake?” “Or sabotage.” Eva looked up at Quinn. “Someone closed the gate while he was mid-crossing. The energy would have rebounded. Stopped his heart.” Dawes cleared his throat. “That’s not a medical conclusion.” “No,” Eva said flatly. “It’s an occult one. You want to wait for the coroner to find nothing, be my guest. But I’m telling you — this man didn’t die from a needle or a bad heart. He died because someone slammed a door in his face while he was standing in the doorway.” Quinn crouched beside Eva, their shoulders almost touching. “What kind of person does that?” “Someone who wanted him dead without leaving a mark.” Eva pulled a small notebook from her satchel, flipping to a page covered in her cramped handwriting. “The Veil Market runs on trust. Bone tokens. Knock-and-answer protocols. Someone vouched for him, got him inside, then shut the gate while he was trying to leave.” “Or while he was trying to enter,” Quinn said. “He’s positioned like a supplicant. Palms up. Head angled back. He was receiving something.” Eva’s eyes widened. “You think he was a buyer.” “I think he was a mark.” Quinn stood, looking down at the dead man’s face. “Someone lured him here with a promise. Brought him to the market, walked him through the gate, then left him to die when the transaction went wrong.” She turned to face the tunnel, the darkness swallowing her torch beam. Somewhere deep in the abandoned station, something shifted. A footstep. A breath. The sound of fabric against stone. Quinn’s hand went to her service weapon. “Dawes, seal the station. No one in or out without my say-so.” “But ma’am, the crime scene perimeter is already—” “Do it.” The constable’s radio crackled to life as he moved toward the exit. Eva remained crouched beside the circle, her face pale in the dim light. “Quinn,” she said softly. “There’s a token in his mouth.” Quinn turned. Eva held up a small, white object — a finger bone, carved with the same crescent moon sigil. The dead man’s jaw hung slack, the token gleaming wetly in the light. “Someone put this in after he died,” Eva said. “It’s a claim marker. A payment. Whoever killed him wanted to send a message.” “To me?” “To anyone who found him.” Eva’s voice dropped. “This is the calling card of the Shades. The artisans who forged your compass. They don’t take kindly to outsiders poking around their markets.” Quinn stared at the bone token, then at the darkness of the tunnel beyond. The stairwell door groaned again, and the bare bulb flickered once, twice, then steadied. She holstered her weapon. “Then let’s not keep them waiting.”
created_at"2026-04-25T14:07:49.993Z" 4/25/2026, 2:07:49 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency529
moderation_latency(null)
generation_time23674
tokens_prompt1149
tokens_completion1988
native_tokens_prompt1033
native_tokens_completion1677
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached1024
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.000499492
router(null)
provider_responses
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endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
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is_byokfalse
latency281
model_permaslug"deepseek/deepseek-v4-flash-20260423"
provider_name"DeepSeek"
status200
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http_referer(null)
request_id"req-1777126069-5KbWH3lRREJQmZl6t10P"
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api_type"completions"
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upstream_id"0a855c1b-dfc6-4dbc-97c1-c82fef6c7047"
total_cost0.000499492
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provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
14.81% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags20
adverbTagCount5
adverbTags
0"she said softly [softly]"
1"Quinn stepped aside [aside]"
2"she said quietly [quietly]"
3"Eva said flatly [flatly]"
4"she said softly [softly]"
dialogueSentences54
tagDensity0.37
leniency0.741
rawRatio0.25
effectiveRatio0.185
79.06% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1194
totalAiIsmAdverbs5
found
0
adverb"slightly"
count1
1
adverb"slowly"
count1
2
adverb"softly"
count2
3
adverb"very"
count1
highlights
0"slightly"
1"slowly"
2"softly"
3"very"
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)
62.31% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1194
totalAiIsms9
found
0
word"footsteps"
count1
1
word"echoing"
count1
2
word"weight"
count1
3
word"silence"
count1
4
word"etched"
count1
5
word"scanning"
count1
6
word"tracing"
count1
7
word"gleaming"
count1
8
word"flickered"
count1
highlights
0"footsteps"
1"echoing"
2"weight"
3"silence"
4"etched"
5"scanning"
6"tracing"
7"gleaming"
8"flickered"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences76
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences76
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences110
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen49
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1200
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions18
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions35
wordCount676
uniqueNames4
maxNameDensity2.22
worstName"Quinn"
maxWindowNameDensity5
worstWindowName"Eva"
discoveredNames
Quinn15
Dawes7
Eva12
Kowalski1
persons
0"Quinn"
1"Dawes"
2"Eva"
3"Kowalski"
places(empty)
globalScore0.391
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences50
glossingSentenceCount1
matches
0"as if tracing the lines in the air"
33.33% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords1.667
wordCount1200
matches
0"Not ritualistic in any religious sense she recognised, but something else"
1"not touching it, but close enough to examine the symbols"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences110
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs53
mean22.64
std16.63
cv0.734
sampleLengths
053
147
231
349
410
512
61
75
833
929
1053
117
125
137
1421
1542
1612
175
1849
199
2018
2145
2216
2311
2443
2539
2613
2710
2839
2936
301
3123
329
3354
3414
3553
3623
379
3842
3930
407
4112
428
432
4425
4510
4633
4723
482
4932
86.80% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences76
matches
0"been sealed"
1"been drawn"
2"been laid"
3"was etched"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs120
matches(empty)
38.96% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences4
totalSentences110
ratio0.036
matches
0"Harlow Quinn stood with her hands on her hips, breathing through her mouth to avoid the smell — damp earth, rusted metal, and something else."
1"Graffiti covered the old advertising boards — layered tags and crude drawings, but some symbols stood out."
2"The face was etched with symbols Quinn recognised — protective sigils she’d seen in Eva’s reference books."
3"Eva held up a small, white object — a finger bone, carved with the same crescent moon sigil."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount674
adjectiveStacks0
stackExamples(empty)
adverbCount26
adverbRatio0.03857566765578635
lyAdverbCount10
lyAdverbRatio0.01483679525222552
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences110
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences110
mean10.91
std7.74
cv0.71
sampleLengths
015
11
225
312
419
512
616
714
817
912
1014
1110
1213
1310
1412
151
164
171
1815
193
207
211
227
2311
2418
2515
268
274
2811
2915
307
315
327
3321
3413
3517
361
371
3810
399
403
413
422
4318
4431
459
4613
475
486
4911
74.55% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.4636363636363636
totalSentences110
uniqueOpeners51
50.51% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences66
matches
0"Somewhere deep in the abandoned"
ratio0.015
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences66
matches
0"His eyes stared at nothing,"
1"she said, more to herself"
2"He’d been laid out like"
3"She gestured without touching"
4"She pulled out her torch"
5"she said softly"
6"She played the torch across"
7"She pulled on latex gloves"
8"She clutched her worn leather"
9"She nodded, breathing hard"
10"She knelt beside the circle,"
11"Her fingers twitched as if"
12"she said quietly"
13"She pointed at a smudged"
14"She turned to face the"
15"she said softly"
16"She holstered her weapon."
ratio0.258
13.03% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount59
totalSentences66
matches
0"The bare bulb hanging from"
1"Harlow Quinn stood with her"
2"Something sweet and chemical that"
3"The body lay sprawled across"
4"His eyes stared at nothing,"
5"Quinn circled the body slowly,"
6"The old station had been"
7"Tea lights lined the platform"
8"A circle had been drawn"
9"she said, more to herself"
10"Dawes shifted his weight."
11"Quinn crouched, close enough to"
12"He’d been laid out like"
13"She gestured without touching"
14"The station fell quiet except"
15"Quinn straightened and turned to"
16"Arcane symbols, roughly drawn."
17"Something that made the fine"
18"Dawes’s silence told her everything."
19"She pulled out her torch"
ratio0.894
75.76% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences66
matches
0"If he’d fallen, there should"
ratio0.015
96.77% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences31
technicalSentenceCount2
matches
0"Male, mid-thirties, dressed in a cheap suit that had seen better days."
1"Something that made the fine hairs on the back of her neck stand at attention."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags20
uselessAdditionCount1
matches
0"she said, more to herself than Dawes"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount0
fancyTags(empty)
dialogueSentences54
tagDensity0.148
leniency0.296
rawRatio0
effectiveRatio0
80.8630%