Run: 2026-04-25-01KQ2GNTBFEQCJHNZ6JQY1TGPJ

Run Details

Duration:
1m 7s
Cost:
$0.002415
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 stretched across the entrance to the abandoned Northern Line platform. The air hit her first—damp cement and the copper tang of blood, undercut by something sharper. Ozone, maybe. The kind of charge in the air before a summer storm. She swept her torch across the platform. The beam caught the old tilework, Victorian advertisements for tonics and teas still clinging to the walls in faded mosaics. Ticket machines rusted to husks. A skeletal information booth with its glass long since shattered. “Took your time, Quinn.” DC Samir Patel emerged from behind a support pillar, his face ghostly in the portable floodlights the forensics team had rigged. His usual easy demeanor had evaporated, replaced by the tight-jawed look of a man who had seen something he couldn’t explain. “Tube’s buggered from Warren Street down. Had to walk the last half-mile through the maintenance tunnels. Where’s the body?” Patel gestured toward the far end of the platform. “Through there. In the old signal room.” Harlow followed his line of sight to a heavy steel door propped open with a rusted chair. The signal room. She’d worked murders in stranger places—a disused meatpacking plant in Wapping came to mind—but something about this platform gnawed at her. The walls were wrong. The shadows sat at angles they shouldn’t. She crossed the platform, her footsteps echoing off the vaulted ceiling. Patel’s torch beam danced alongside hers. “Victim’s a John Doe for now,” he said. “White male, mid-thirties. No wallet, no phone. Throat’s been cut.” “Mugging gone wrong?” “In an abandoned Tube station fifty feet below Camden High Street?” Patel shook his head. “How’d they even get down here? The surface entrance has been bricked up since the seventies. We had to come through the maintenance access in the existing station, and that door was locked. Engineer had to cut the bolt.” Harlow filed that away. She stepped through the signal room door and was immediately hit by a wall of cold. Not the ambient chill of a subterranean room—this was the kind of cold that seeped into bone. The kind that had no business in a sealed room. The body lay crumpled against a bank of ancient signal levers, arms outflung as if the man had been trying to push himself backward in his final moment. The blood had pooled beneath him in a dark, almost black, puddle that spread toward the drain in the center of the floor. Harlow crouched at the edge of the blood pool. The smell hit her again—that ozone charge. And something else beneath it. Burnt sugar. “Coroner been yet?” “Preliminary only. Dr. Okonkwo said he’d do the full post-mortem at the morgue, but he gave us one thing before he left.” Patel hesitated. “The throat wound. He said it wasn’t made by a blade.” Harlow looked up sharply. “What else cuts a throat that cleanly?” “That’s just it. The wound edges are cauterized. Like someone used a scalpel heated to a few thousand degrees. But there’s no thermal damage to the surrounding tissue. Okonkwo said he’s never seen tissue respond like that. It’s as if the wound was cauterized at the exact moment it was made, by something that was hot enough to seal the flesh but precise enough not to burn anything else.” Harlow studied the wound. In the harsh floodlights, she could see what Okonkwo meant. The gash ran from left to right, a perfect horizontal slash across the trachea. But the lips of the wound were sealed shut in a dark seam, as if someone had taken a soldering iron to exposed meat. She shifted her weight and felt something crunch under her boot. Glass. She angled her torch downward. A scatter of broken vials lay near the body, their contents dried to a crystalline residue that glittered amber under the light. Harlow pulled a pair of latex gloves from her coat pocket and snapped them on. She picked up the largest fragment with two fingers. The glass was thin, delicate—laboratory grade. A faded label clung to one edge, the ink smeared but still legible enough to make out a partial word: *—genesis*. “What do you make of this?” She held the fragment up for Patel. He squinted. “Drug lab? Maybe he was cooking something down here?” “In a signal room? No ventilation, no power, no water source. You’d need a generator at minimum, and there’s no sign of one.” Patel’s radio crackled. He stepped away to answer it, leaving Harlow alone with the body. She swept her torch in a slow arc across the room, letting the beam trace every corner. The signal levers were coated in decades of grime, but several of them had been disturbed—clean streaks where hands had gripped the metal. Recent hands. She followed the line of levers to the far wall, where a maintenance hatch stood ajar. “Patel.” He looked up from his radio. “Anyone check this hatch?” “Not yet. We focused on the body and the immediate perimeter.” Harlow crossed to the hatch and pulled it open. A gust of that same cold air washed over her face, carrying with it the burnt sugar smell, stronger now. She shone her torch inside. The hatch opened onto a maintenance crawlspace, no more than four feet high. Rusted pipes ran along the ceiling, wrapped in crumbling asbestos insulation. But the floor—the floor was marked with a trail of dark droplets that led away from the signal room. “Blood trail,” she said. “Heading east.” Patel appeared at her shoulder. “That’s toward the old ventilation shaft. It connects to the surface near Camden Lock.” Harlow studied the droplets. Something was off about them. She crouched and aimed her torch at the nearest one. The blood was too dark, almost black in the dim light. And the shape was wrong. Blood droplets from a moving source should be elliptical, teardrop-shaped, the tail pointing in the direction of travel. These were perfectly round. As if they had fallen straight down. As if whatever was bleeding hadn’t been walking at all. She pulled out her phone and snapped a photo. “I want forensics in this crawlspace before anyone else disturbs it.” “You think there’s a second person?” “I think the evidence isn’t adding up.” Harlow straightened and looked back at the body. “You said the victim’s throat was cut. One clean slash, cauterized. But there’s blood everywhere. Arterial spray on the signal bank, pooling on the floor. If the wound was cauterized immediately, where’s all this blood coming from?” Patel’s brow furrowed. “Maybe the weapon—whatever it was—wasn’t perfectly consistent. Maybe it cauterized part of the wound but not all of it.” “Then we’d see a mix of burned and unburned tissue. Okonkwo said the wound edges were uniformly sealed. That means the entire cut was cauterized at the same time.” She gestured at the blood pool. “So how did this man bleed out?” Patel had no answer. Harlow walked back to the body and knelt beside it. She studied the man’s face—pale, unshaven, with deep shadows under the eyes. His clothes were unremarkable: dark trousers, a grey jumper, worn trainers. But his right hand was clenched in a fist. “Did Okonkwo check for rigor?” “He was in full rigor when we found him. Estimated time of death somewhere between eight and twelve hours ago.” Harlow gently pried open the man’s fingers. The skin was cold and stiff, but the object inside his palm was warmer than it should be. Almost body temperature. It was a small brass compass. She held it under her torchlight. The casing had a patina of verdigris, the kind that took decades to form. Strange symbols she didn’t recognize covered the face—not the usual cardinal directions, but something older. Angular marks that hurt to look at for too long. The needle wasn’t pointing north. It was pointing at her. She turned in a slow circle. The needle followed. “What’s that?” Patel asked. “I don’t know.” She slipped it into an evidence bag, but the needle continued to track her movement even through the plastic. “But I don’t think it belonged to our victim.” “Why’s that?” “Because his hands are clean.” She nodded at the man’s palms. “No calluses, no dirt under the nails. These aren’t the hands of someone who’s been crawling through maintenance tunnels and abandoned platforms. And yet here he is, fifty feet underground, with no visible means of entry.” Patel exhaled slowly. “So someone else was here. Someone who came through the crawlspace.” “And dropped this compass.” Harlow held up the evidence bag. “Which means they might still be nearby.” Her phone buzzed in her pocket. She pulled it out and glanced at the screen. A message from an unknown number. Four words: *They’re watching the station.* She stared at the screen. The cold in the room seemed to intensify, pressing against her skin like a physical weight. “Quinn?” Patel’s voice sounded distant. “You all right?” She pocketed the phone. “Seal the scene. I want every inch of this platform photographed and logged. And find out who had access to the maintenance keys for this section—I want a list of every engineer, every transport official, every contractor who’s been in these tunnels for the last six months.” “Six months? That’s a lot of—” “And get me the CCTV from Camden Town station. All of it. Last twenty-four hours.” Patel opened his mouth to object, but something in her expression made him think better of it. He nodded and turned away, already lifting his radio. Harlow looked back at the body, at the blood that shouldn’t be there, at the hatch leading into darkness. The compass in her hand was still warm. Still pointing. She thought of Morris. Three years gone, and they’d never found who did it. Never found how. Just a body in an alley with no marks, no cause of death that the coroner could explain. A case that had been quietly closed and buried. The same burnt sugar smell had been at that scene too. She tucked the evidence bag into her coat and walked toward the crawlspace. The beam of her torch cut through the darkness ahead. Cold air gusted from the opening. Somewhere in the distance, metal groaned. Something was still down there. And for the first time in three years, Harlow Quinn had a lead.
created_at"2026-04-25T14:28:39.924Z" 4/25/2026, 2:28:39 PM
model"deepseek/deepseek-v4-pro-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2161
moderation_latency(null)
generation_time67220
tokens_prompt1149
tokens_completion2748
native_tokens_prompt1033
native_tokens_completion2318
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached128
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"
usage0.002414975
router(null)
provider_responses
0
endpoint_id"d084170b-dd99-4e53-9ae1-b63881f3cfbf"
id"89e360d6-bcdb-4ff1-9f51-db7927b3abc4"
is_byokfalse
latency285
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-1777127319-vzosm4te2G8UkTSqVZJu"
session_id(null)
api_type"completions"
id"gen-1777127319-aOAOFPtIRtMqEXS1lyyR"
upstream_id"89e360d6-bcdb-4ff1-9f51-db7927b3abc4"
total_cost0.002414975
cache_discount0.00005104
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags13
adverbTagCount0
adverbTags(empty)
dialogueSentences45
tagDensity0.289
leniency0.578
rawRatio0
effectiveRatio0
85.67% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1744
totalAiIsmAdverbs5
found
0
adverb"sharply"
count1
1
adverb"perfectly"
count2
2
adverb"gently"
count1
3
adverb"slowly"
count1
highlights
0"sharply"
1"perfectly"
2"gently"
3"slowly"
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)
74.20% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1744
totalAiIsms9
found
0
word"shattered"
count1
1
word"footsteps"
count1
2
word"echoing"
count1
3
word"chill"
count1
4
word"perfect"
count1
5
word"weight"
count2
6
word"crystalline"
count1
7
word"furrowed"
count1
highlights
0"shattered"
1"footsteps"
2"echoing"
3"chill"
4"perfect"
5"weight"
6"crystalline"
7"furrowed"
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
narrationSentences122
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences122
filterMatches
0"think"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences154
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen69
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords5
totalWords1731
ratio0.003
matches
0"—genesis"
1"They’re watching the station."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
80.80% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions39
wordCount1156
uniqueNames10
maxNameDensity1.38
worstName"Harlow"
maxWindowNameDensity2.5
worstWindowName"Harlow"
discoveredNames
Harlow16
Quinn2
Northern1
Line1
Victorian1
Samir1
Patel14
Wapping1
Okonkwo1
Morris1
persons
0"Harlow"
1"Quinn"
2"Samir"
3"Patel"
4"Okonkwo"
5"Morris"
places(empty)
globalScore0.808
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences81
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.578
wordCount1731
matches
0"not the usual cardinal directions, but something older"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences154
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs71
mean24.38
std17.81
cv0.73
sampleLengths
048
142
246
319
416
552
617
718
83
954
1047
1151
1223
133
1435
1511
1669
1752
1817
1946
2027
2113
2211
2323
2415
2558
261
276
284
2911
3034
3143
326
3319
3453
354
3617
3720
386
3952
4022
4142
424
4342
445
4520
4628
476
4845
495
99.51% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences122
matches
0"were coated"
1"been disturbed"
2"was clenched"
94.74% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs190
matches
0"was bleeding"
1"wasn’t pointing"
2"was pointing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount11
semicolonCount0
flaggedSentences10
totalSentences154
ratio0.065
matches
0"The air hit her first—damp cement and the copper tang of blood, undercut by something sharper."
1"She’d worked murders in stranger places—a disused meatpacking plant in Wapping came to mind—but something about this platform gnawed at her."
2"Not the ambient chill of a subterranean room—this was the kind of cold that seeped into bone."
3"The smell hit her again—that ozone charge."
4"The glass was thin, delicate—laboratory grade."
5"A faded label clung to one edge, the ink smeared but still legible enough to make out a partial word: *—genesis*."
6"The signal levers were coated in decades of grime, but several of them had been disturbed—clean streaks where hands had gripped the metal."
7"But the floor—the floor was marked with a trail of dark droplets that led away from the signal room."
8"She studied the man’s face—pale, unshaven, with deep shadows under the eyes."
9"Strange symbols she didn’t recognize covered the face—not the usual cardinal directions, but something older."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1168
adjectiveStacks0
stackExamples(empty)
adverbCount31
adverbRatio0.026541095890410957
lyAdverbCount7
lyAdverbRatio0.0059931506849315065
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences154
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences154
mean11.24
std9.29
cv0.827
sampleLengths
019
116
22
311
47
520
65
710
825
921
1019
119
127
1317
143
1521
164
177
1811
196
208
2110
223
2315
2439
254
2616
2717
2810
2928
3023
319
327
335
342
353
3624
3711
384
397
4069
414
4210
4314
4424
4511
461
475
4822
4915
64.50% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.4025974025974026
totalSentences154
uniqueOpeners62
90.09% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences111
matches
0"Almost body temperature."
1"Just a body in an"
2"Somewhere in the distance, metal"
ratio0.027
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences111
matches
0"She swept her torch across"
1"His usual easy demeanor had"
2"She’d worked murders in stranger"
3"She crossed the platform, her"
4"She stepped through the signal"
5"She shifted her weight and"
6"She angled her torch downward."
7"She picked up the largest"
8"She held the fragment up"
9"He stepped away to answer"
10"She swept her torch in"
11"She followed the line of"
12"He looked up from his"
13"She shone her torch inside."
14"She crouched and aimed her"
15"She pulled out her phone"
16"She gestured at the blood"
17"She studied the man’s face—pale,"
18"His clothes were unremarkable: dark"
19"It was a small brass"
ratio0.297
45.59% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount92
totalSentences111
matches
0"Detective Harlow Quinn ducked under"
1"The air hit her first—damp"
2"The kind of charge in"
3"She swept her torch across"
4"The beam caught the old"
5"Ticket machines rusted to husks."
6"A skeletal information booth with"
7"DC Samir Patel emerged from"
8"His usual easy demeanor had"
9"Patel gestured toward the far"
10"Harlow followed his line of"
11"The signal room."
12"She’d worked murders in stranger"
13"The walls were wrong."
14"The shadows sat at angles"
15"She crossed the platform, her"
16"Patel’s torch beam danced alongside"
17"Patel shook his head"
18"Harlow filed that away."
19"She stepped through the signal"
ratio0.829
90.09% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences111
matches
0"As if they had fallen"
1"As if whatever was bleeding"
ratio0.018
84.55% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences49
technicalSentenceCount4
matches
0"His usual easy demeanor had evaporated, replaced by the tight-jawed look of a man who had seen something he couldn’t explain."
1"The body lay crumpled against a bank of ancient signal levers, arms outflung as if the man had been trying to push himself backward in his final moment."
2"But the lips of the wound were sealed shut in a dark seam, as if someone had taken a soldering iron to exposed meat."
3"A scatter of broken vials lay near the body, their contents dried to a crystalline residue that glittered amber under the light."
86.54% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount1
matches
0"She slipped, but the needle continued to track her movement even through the plastic"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences45
tagDensity0.067
leniency0.133
rawRatio0
effectiveRatio0
89.2087%