Run: 2026-04-25-01KQ2F0Y7DK13J0X8Y3R54VHQ9

Run Details

Duration:
49.5s
Cost:
$0.001499
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
Detective Harlow Quinn ducked under the crime scene tape strung across the entrance to the old Camden Town station. The disused tube stop had been sealed since the 1980s, its entrance a yawning concrete mouth exhaling damp, mineral-scented air. Below, generators hummed and portable lights threw harsh white cones across the platform. DI Okonkwo fell into step beside her, tablet in hand, scrolling through the preliminary report. "Body's on the southbound tracks. Male, late twenties. No ID, no wallet, no phone. Cause of death appears to be exsanguination." "Appears?" "Wait until you see it." The escalator had been gutted years ago, leaving a steep staircase that descended into the dark. Quinn's boots rang against the metal steps. Her left hand brushed the worn leather band of her watch—an old habit, checking the time when she already knew it was half past two in the morning. The platform stretched before her, tiled walls streaked with decades of grime and graffiti. But beneath the modern tags, older markings crawled across the ceramic—sigils she didn't recognize, circles within circles, script that wasn't quite any alphabet she'd seen in eighteen years on the force. The air down here pressed against her skin with a weight that had nothing to do with the depth. A forensic team worked the scene in white coveralls, their movements slow and deliberate under the portable lights. The body lay in the track bed, arms spread wide, palms upturned. From the platform edge, Quinn could see the wound—a single clean incision across the throat, surgical precision. "The blood loss is consistent with a carotid artery severance," Okonkwo said, scrolling again. "But there's almost no blood on the scene." Quinn's eyes narrowed. She descended the short ladder to the track bed, her knees protesting. Up close, the victim looked young—younger than twenty-seven. Pale skin, dark hair, features that might have been handsome before death settled into them. His clothes were ordinary: dark jeans, a grey jumper, trainers with the left sole worn thin. No blood pool. A body drained of blood should be lying in a black lake of it. Instead, the gravel between the tracks showed only a few dark spatters, each the size of a coin. Quinn crouched, her sharp jaw tightening. She pulled a penlight from her coat and swept it across the ground. "Tracks," she said. "Drag marks." Okonkwo—still on the platform—leaned over. "SOCO found those. They think the body was moved post-mortem." "From where?" "Unknown. No blood trail leading in." Quinn examined the wound. The cut was so clean it might have been drawn with a ruler. The edges of the skin peeled back with almost no bruising, no tearing. She'd seen throats cut before—it was always a mess, ragged and violent. This looked like the work of a scalpel in an operating theater. Or something sharper than a scalpel. "No defensive wounds," she said, lifting each hand to check the fingers. No skin under the nails, no bruises on the knuckles. "He didn't fight back." "Drugs, maybe? Tox screen will take a few days." Quinn stood, her gaze tracking the platform walls. The sigils caught her attention again. She climbed back up and approached the tiles, running a gloved finger over one of the markings. The lines were too clean, too recent. Scratched into the ceramic with something harder than the glaze. "These are fresh." Okonkwo glanced at the symbol. "Kids. Occult nonsense. There's a whole community of them—ghost hunters, urban explorers, wannabe witches. Probably broke in here for a ritual and things went wrong." "A ritual sacrifice on the southbound track of a sealed tube station?" "We've seen weirder." Quinn hadn't. She walked the length of the platform, counting the sigils. Seven of them, spaced at regular intervals, each one distinct. At the far end, near the tunnel mouth, she found the eighth. And the bone token. It was small, no larger than a coin, carved into the shape of a crescent moon. The surface was smooth and yellowed, worn by handling. Quinn bagged it without calling Okonkwo's attention. "You find something?" "Litter." She pocketed the evidence bag and turned back. "You said no ID. What about the clothes? Labels?" "Nothing distinctive. High street brands. That jumper's from Marks and Spencer." Quinn looked at the body again. Something about the positioning nagged at her—the arms spread, the palms up. Not defensive. Not accidental. Supplication. The word surfaced from some buried corner of her memory, from Sunday school decades ago. The posture of a petitioner before an altar. "Your ritual theory," she said. "What kind of ritual requires draining someone of blood but leaving no blood behind?" Okonkwo shrugged. "I'm not an expert in devil worship." "Neither were the people who did this." Quinn walked back to the ladder and climbed down once more. She knelt beside the body and turned the head gently, examining the skin beneath the jaw. The wound had been made from left to right, or right to left? The angle suggested a right-handed assailant approaching from behind. But the body showed no ligature marks, no signs of restraint. "He watched it happen," Quinn said. "Sorry?" "His face. Look at it." She pointed the penlight. "That's not fear. It's rapture." Okonkwo had no response. Quinn stood and brushed the dust from her trousers. She'd learned, over three years, to trust the prickle at the base of her skull. It was the same feeling she'd had when Morris disappeared—when the evidence had told a story that made no sense, when the official report had been closed too quickly, when she'd started noticing things that weren't supposed to exist. "Have the body sent to Dr. Patel. I want a full workup—not just tox, but tissue analysis, stomach contents, bone marrow if she can manage it." "That's going to cost—" "I'll find the budget." Okonkwo hesitated, then nodded and began tapping on the tablet. Quinn walked back to the platform edge and stared down at the body, then out into the black mouth of the tunnel. A week ago, a woman named Eva Kowalski had approached her outside the Yard, round glasses fogged from the rain, curly red hair escaping from under a wool cap. She'd pressed a photograph into Quinn's hand—a man in his late twenties, dark hair, pale skin, standing in front of a bookshop. "My friend is missing," she'd said. "The police won't help because it hasn't been forty-eight hours. But I think she's in danger." She'd tucked her hair behind her left ear, a nervous gesture. "I think she found something she wasn't supposed to." "What kind of something?" Eva had looked at her with the clearest green eyes Quinn had ever seen. "The kind that gets people killed." Quinn hadn't believed her. Not then. But she'd taken the photograph, and she'd kept it, and now she was standing over a body that matched not the missing woman but the description Eva had given of the man who'd been helping her—a dealer in rare artifacts named Simon Larch. The bone token was heavy in her pocket. The sigils on the wall were not nonsense. Quinn pulled out her phone and dialed a number she'd memorized three days ago. It rang four times before a voice answered, groggy and cautious. "Ms. Kowalski? This is Detective Quinn. I need you to meet me at the British Museum. Now." "It's three in the morning—" "I know. Bring everything you have on something called the Veil Market." The silence on the other end told her more than any answer could.
created_at"2026-04-25T13:59:47.185Z" 4/25/2026, 1:59:47 PM
model"deepseek/deepseek-v4-pro-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency939
moderation_latency(null)
generation_time49287
tokens_prompt1149
tokens_completion1966
native_tokens_prompt1033
native_tokens_completion1676
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"
usage0.001499155
router(null)
provider_responses
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endpoint_id"13bda129-f8a6-4a60-b1db-98082e5f7ccd"
is_byokfalse
latency151
model_permaslug"deepseek/deepseek-v4-pro-20260423"
provider_name"Together"
status429
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endpoint_id"d084170b-dd99-4e53-9ae1-b63881f3cfbf"
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is_byokfalse
latency290
model_permaslug"deepseek/deepseek-v4-pro-20260423"
provider_name"DeepSeek"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777125587-E0zjZrdGFulzfma9UMcL"
session_id(null)
api_type"completions"
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upstream_id"c1c56d49-05cf-4b7b-9a25-98b2e86856c7"
total_cost0.001499155
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provider_name"DeepSeek"
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences40
tagDensity0.225
leniency0.45
rawRatio0
effectiveRatio0
92.12% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1269
totalAiIsmAdverbs2
found
0
adverb"gently"
count1
1
adverb"quickly"
count1
highlights
0"gently"
1"quickly"
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Patel"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
88.18% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1269
totalAiIsms3
found
0
word"weight"
count1
1
word"stomach"
count1
2
word"silence"
count1
highlights
0"weight"
1"stomach"
2"silence"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences84
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences84
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences115
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen44
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1256
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
55.66% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions38
wordCount954
uniqueNames12
maxNameDensity1.89
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn18
Camden1
Town1
Okonkwo8
Sunday1
Morris1
Eva3
Kowalski1
Yard1
Simon1
Larch1
persons
0"Harlow"
1"Quinn"
2"Okonkwo"
3"Morris"
4"Eva"
5"Kowalski"
6"Simon"
7"Larch"
places
0"Camden"
1"Town"
2"Sunday"
3"Yard"
globalScore0.557
windowScore0.667
71.88% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences64
glossingSentenceCount2
matches
0"quite any alphabet she'd seen in eighteen years on the force"
1"looked like the work of a scalpel in an o"
40.76% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords1.592
wordCount1256
matches
0"not just tox, but tissue analysis, stomach contents, bone marrow if she can ma"
1"not the missing woman but the description Eva had given of the man who'd been helping"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences115
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs56
mean22.43
std19.41
cv0.865
sampleLengths
052
136
21
35
451
564
647
722
854
93
1051
115
1215
132
146
1560
1626
179
1848
193
2030
2112
223
2334
244
2532
263
2718
2811
2922
3024
3119
329
337
3460
356
361
3714
384
3963
4026
414
424
4332
4451
4542
464
4720
4849
498
84.38% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences84
matches
0"been sealed"
1"been gutted"
2"been drawn"
3"been made"
4"been closed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs158
matches
0"was standing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount11
semicolonCount0
flaggedSentences10
totalSentences115
ratio0.087
matches
0"Her left hand brushed the worn leather band of her watch—an old habit, checking the time when she already knew it was half past two in the morning."
1"But beneath the modern tags, older markings crawled across the ceramic—sigils she didn't recognize, circles within circles, script that wasn't quite any alphabet she'd seen in eighteen years on the force."
2"From the platform edge, Quinn could see the wound—a single clean incision across the throat, surgical precision."
3"Up close, the victim looked young—younger than twenty-seven."
4"Okonkwo—still on the platform—leaned over."
5"She'd seen throats cut before—it was always a mess, ragged and violent."
6"Something about the positioning nagged at her—the arms spread, the palms up."
7"It was the same feeling she'd had when Morris disappeared—when the evidence had told a story that made no sense, when the official report had been closed too quickly, when she'd started noticing things that weren't supposed to exist."
8"She'd pressed a photograph into Quinn's hand—a man in his late twenties, dark hair, pale skin, standing in front of a bookshop."
9"But she'd taken the photograph, and she'd kept it, and now she was standing over a body that matched not the missing woman but the description Eva had given of the man who'd been helping her—a dealer in rare artifacts named Simon Larch."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount968
adjectiveStacks1
stackExamples
0"damp, mineral-scented air."
adverbCount28
adverbRatio0.028925619834710745
lyAdverbCount4
lyAdverbRatio0.004132231404958678
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences115
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences115
mean10.92
std7.65
cv0.701
sampleLengths
019
120
213
315
421
51
65
716
87
928
1014
1131
1219
1318
1412
1517
1614
178
183
1912
208
2115
2216
233
2414
2518
266
2713
283
292
305
3110
322
336
344
3513
3613
3712
3812
396
4012
4110
424
439
448
456
4617
477
4810
493
68.70% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.4434782608695652
totalSentences115
uniqueOpeners51
45.05% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences74
matches
0"Instead, the gravel between the"
ratio0.014
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences74
matches
0"Her left hand brushed the"
1"She descended the short ladder"
2"His clothes were ordinary: dark"
3"She pulled a penlight from"
4"She'd seen throats cut before—it"
5"she said, lifting each hand"
6"She climbed back up and"
7"She walked the length of"
8"It was small, no larger"
9"She pocketed the evidence bag"
10"She knelt beside the body"
11"She pointed the penlight"
12"She'd learned, over three years,"
13"It was the same feeling"
14"She'd pressed a photograph into"
15"She'd tucked her hair behind"
16"It rang four times before"
ratio0.23
68.11% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount58
totalSentences74
matches
0"Detective Harlow Quinn ducked under"
1"The disused tube stop had"
2"The escalator had been gutted"
3"Quinn's boots rang against the"
4"Her left hand brushed the"
5"The platform stretched before her,"
6"The air down here pressed"
7"A forensic team worked the"
8"The body lay in the"
9"Okonkwo said, scrolling again"
10"Quinn's eyes narrowed."
11"She descended the short ladder"
12"His clothes were ordinary: dark"
13"A body drained of blood"
14"Quinn crouched, her sharp jaw"
15"She pulled a penlight from"
16"Okonkwo—still on the platform—leaned over."
17"Quinn examined the wound."
18"The cut was so clean"
19"The edges of the skin"
ratio0.784
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences74
matches(empty)
ratio0
83.33% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences48
technicalSentenceCount4
matches
0"The escalator had been gutted years ago, leaving a steep staircase that descended into the dark."
1"But beneath the modern tags, older markings crawled across the ceramic—sigils she didn't recognize, circles within circles, script that wasn't quite any alphabe…"
2"It was the same feeling she'd had when Morris disappeared—when the evidence had told a story that made no sense, when the official report had been closed too qu…"
3"But she'd taken the photograph, and she'd kept it, and now she was standing over a body that matched not the missing woman but the description Eva had given of …"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount0
fancyTags(empty)
dialogueSentences40
tagDensity0.125
leniency0.25
rawRatio0
effectiveRatio0
82.4053%