Run: 2026-04-25-01KQ2EYE4GJ7CYYY8K3AGCVCZ3

Run Details

Duration:
23.5s
Cost:
$0.000592
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 warehouse door groaned on its hinges as Harlow Quinn pushed through, the rusted metal scraping against concrete. The smell hit her first—copper and something else, something acrid that burned the back of her throat. She stepped over the threshold and let her eyes adjust to the dim light filtering through grime-caked windows. DS Maddox stood by the far wall, his notebook open, pen hovering. He looked up when she entered, the beam of his torch wobbling across the floorboards. "Quinn. You're going to want to see this." She crossed the space in measured strides, her worn leather boots scuffing against the dirt. The warehouse stretched fifty feet in each direction, empty save for the metal shelving units that lined the walls like skeletal ribs. Dust motes swam in the torchlight. "Time of call?" "Two hours ago," Maddox said. "Anonymous tip. Said there'd been a disturbance." "And let me guess. No disturbance when uniform arrived." Maddox's jaw tightened. "No. Just this." He directed his beam toward the centre of the floor. Quinn stopped breathing. The circle was roughly eight feet in diameter, carved into the concrete with what looked like acid. The grooves were clean, precise, and they glowed with a faint luminescence that pulsed in rhythm with something she couldn't hear. Symbols she didn't recognise spiralled along the outer edge, their edges sharp enough to catch the light. "I've got SOCO en route," Maddox said. "No. Call them off." He blinked at her. "Quinn, this is a—" "This is a crime scene that doesn't exist yet." She crouched, running her gloved fingers along one of the grooves. The concrete was warm to the touch. "Whoever called this in knew what they were doing. They wanted us here. They wanted us to find this." Maddox shifted his weight. "Or someone stumbled onto something they weren't supposed to see. Panicked." "Nobody panics and describes what they can't see in the dark. The tip was too specific. 'Disturbance.' That's a cop word." She stood, brushing the grit from her gloves. "You canvass the area?" "Neighbouring warehouses are empty. Street cameras show nothing between midnight and three. No foot traffic, no vehicles." Quinn walked the perimeter, her gaze tracing the warehouse's anatomy. The roof had three skylights, all clouded with years of neglect. The walls were cinderblock, painted over in layers of grey that flaked like dead skin. Near the loading bay, a door stood ajar, rusted chain-link hanging from its hinges. "The circle," she said. "It's too clean." Maddox clicked his torch off and pocketed it. "What do you mean?" She gestured. "This acid carving. It's exact. Mathematical. Whoever did this had time. They had light. They worked on their hands and knees for—" she calculated the burn depth against the concrete hardness— "at least four hours. In an empty warehouse. With no one seeing or hearing a thing." "Maybe they did it during the day. Before the call." "Then where's the debris? The dust? Acid eats concrete. Leaves residue. There's nothing here except the carving itself." She knelt again, this time studying the symbols more closely. They curled in on themselves, organic and angular at once, like bone and metal twisted together. One symbol near the centre caught her eye. A spiral with three breaks, each gap filled with something black. She touched it. The substance came away on her glove, oily and cold. Blood. Dried, but not old. "Luminol this," she said. "Every inch. Inside the circle, outside it. I want to know if someone bled here." Maddox scribbled in his notebook. "You think this is a ritual site?" "I think it's a message." She stood, her knees popping. "And I think whoever left it wants us to chase the wrong thing." The loading bay door groaned, and she turned to see a figure step through the gap. Eva Kowalski ducked under the chain-link, her round glasses fogged from the cold air outside. She clutched her worn leather satchel against her chest, her curly red hair springing free from the hood of her coat. "Detective Quinn," Eva said, her voice steady despite the circumstances. "Your sergeant called me." Maddox shot Quinn a look. "I thought outside consultation might be useful. Given the nature of the symbols." Quinn's mouth tightened. "Kowalski works at the British Museum's restricted archives. She's not a police consultant." "No," Eva said, stepping closer. Her boots echoed against the concrete. "But I've seen these marks before." She set her satchel down and pulled out a leather-bound journal, its pages yellowed and the spine cracked. She flipped it open to a marked page and held it up. The sketch matched the central symbol of the circle with uncanny accuracy. "The Order of the Drowned Knot," Eva said. "Seventeenth-century occult society. They believed symbols like this could open doorways." Quinn took the journal, studying the drawing. The same spiral. The same three breaks. "Doorways to where?" Eva's green eyes met hers. "That depends on the offering. And on what's on the other side waiting to come through." Maddox cleared his throat. "You're saying someone tried to open a portal. In an abandoned warehouse in Camden." "I'm saying someone built a key," Eva replied. "Whether they used it is another question." Quinn handed the journal back and walked to the circle's edge. She crouched again, this time looking at the concrete floor with fresh eyes. The carvings. The blood. The warmth that shouldn't be there. She pressed her palm flat against the concrete. The pulse beneath her hand was distinct. Rhythmic. Like a heartbeat. She looked up at Eva. "If this is a key, what does it unlock?" Eva knelt beside her, her fingers tracing the air above the symbols without touching them. "In the Order's writings, each break in the spiral corresponds to a physical threshold. A door. A window. A gate. The three breaks suggest there are three points of entry. But they're not here." "Then where?" Eva pulled a small compass from her satchel. Brass casing, verdigris eating at the edges. She held it flat in her palm. The needle spun once, twice, then settled, pointing directly toward the loading bay door. "There," Eva breathed. Quinn rose and followed the compass's direction. The loading bay door led to a narrow alley, then to the main road. But the needle didn't waver. It pointed at the door itself. "What's through there?" Quinn asked. "Camden High Street. Shops. Restaurants." Maddox consulted his notes. "Nothing out of the ordinary." Quinn walked to the door, her shadow stretching across the concrete. She touched the rusted chain-link, her fingers trailing along its surface. The metal was cold. Unremarkable. But the needle of Eva's compass still pointed at it. "Pull the traffic footage from the past week," Quinn said. "Every car that passed this spot. Every pedestrian who stopped longer than a second." Maddox's pen scratched. "That's a lot of data." "I don't care." She turned back to the circle. "Someone built this for a reason. They wanted us to find the circle, focus on the symbols, miss what's really happening." Eva stood, the compass still trembling in her palm. "What if they already opened a door? And what came through isn't here yet?" Quinn met her gaze. The warehouse felt colder now, the silence heavier. "Then we have until it arrives."
created_at"2026-04-25T13:58:25.172Z" 4/25/2026, 1:58:25 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency718
moderation_latency(null)
generation_time23382
tokens_prompt1149
tokens_completion1920
native_tokens_prompt1033
native_tokens_completion1649
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"
usage0.000592004
router(null)
provider_responses
0
endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"872556e7-9c45-4289-86f9-24ddae4ebc79"
is_byokfalse
latency279
model_permaslug"deepseek/deepseek-v4-flash-20260423"
provider_name"DeepSeek"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777125505-TpkzfMUfgze182WBsaxb"
session_id(null)
api_type"completions"
id"gen-1777125505-ECVtWLAzkdEcKfhOBrL5"
upstream_id"872556e7-9c45-4289-86f9-24ddae4ebc79"
total_cost0.000592004
cache_discount0.000014336
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
totalTags18
adverbTagCount2
adverbTags
0"She knelt again [again]"
1"She turned back [back]"
dialogueSentences53
tagDensity0.34
leniency0.679
rawRatio0.111
effectiveRatio0.075
95.90% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1220
totalAiIsmAdverbs1
found
0
adverb"really"
count1
highlights
0"really"
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)
50.82% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1220
totalAiIsms12
found
0
word"measured"
count1
1
word"pulsed"
count1
2
word"weight"
count1
3
word"tracing"
count2
4
word"calculated"
count1
5
word"echoed"
count1
6
word"uncanny"
count1
7
word"warmth"
count1
8
word"pulse"
count1
9
word"rhythmic"
count1
10
word"silence"
count1
highlights
0"measured"
1"pulsed"
2"weight"
3"tracing"
4"calculated"
5"echoed"
6"uncanny"
7"warmth"
8"pulse"
9"rhythmic"
10"silence"
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
narrationSentences91
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences91
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences126
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen47
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1219
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions15
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions37
wordCount743
uniqueNames5
maxNameDensity1.62
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Eva"
discoveredNames
Harlow1
Quinn12
Maddox11
Kowalski1
Eva12
persons
0"Harlow"
1"Quinn"
2"Maddox"
3"Kowalski"
4"Eva"
places(empty)
globalScore0.692
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences54
glossingSentenceCount1
matches
0"looked like acid"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1219
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences126
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs55
mean22.16
std15.5
cv0.699
sampleLengths
053
135
243
33
412
59
66
713
855
97
104
118
1246
1315
1433
1517
1650
177
1812
1949
2010
2144
2232
235
2419
2512
2623
2752
2814
2918
3016
3117
3242
3319
3417
3521
3618
3715
3842
3911
4014
4149
422
4336
443
4532
465
4714
4837
4924
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences91
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs134
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences126
ratio0.008
matches
0"The smell hit her first—copper and something else, something acrid that burned the back of her throat."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount749
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.0267022696929239
lyAdverbCount5
lyAdverbRatio0.006675567423230975
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences126
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences126
mean9.67
std7
cv0.723
sampleLengths
018
117
218
312
415
58
615
722
86
93
105
117
129
133
143
1510
163
1717
1821
1917
207
214
224
234
2420
257
2619
274
2811
2929
304
3117
3210
3311
3415
3514
364
373
388
394
402
4147
4210
4328
4416
458
4611
473
4810
491
63.76% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.42063492063492064
totalSentences126
uniqueOpeners53
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences76
matches(empty)
ratio0
98.95% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences76
matches
0"She stepped over the threshold"
1"He looked up when she"
2"She crossed the space in"
3"He directed his beam toward"
4"He blinked at her."
5"She crouched, running her gloved"
6"She stood, brushing the grit"
7"she calculated the burn depth"
8"She knelt again, this time"
9"They curled in on themselves,"
10"She touched it."
11"She stood, her knees popping"
12"She clutched her worn leather"
13"Her boots echoed against the"
14"She set her satchel down"
15"She flipped it open to"
16"She crouched again, this time"
17"She pressed her palm flat"
18"She looked up at Eva."
19"She held it flat in"
ratio0.303
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount70
totalSentences76
matches
0"The warehouse door groaned on"
1"The smell hit her first—copper"
2"She stepped over the threshold"
3"DS Maddox stood by the"
4"He looked up when she"
5"She crossed the space in"
6"The warehouse stretched fifty feet"
7"Dust motes swam in the"
8"Maddox's jaw tightened."
9"He directed his beam toward"
10"Quinn stopped breathing."
11"The circle was roughly eight"
12"The grooves were clean, precise,"
13"Symbols she didn't recognise spiralled"
14"He blinked at her."
15"She crouched, running her gloved"
16"The concrete was warm to"
17"Maddox shifted his weight."
18"She stood, brushing the grit"
19"Quinn walked the perimeter, her"
ratio0.921
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences76
matches(empty)
ratio0
98.21% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences32
technicalSentenceCount2
matches
0"The warehouse stretched fifty feet in each direction, empty save for the metal shelving units that lined the walls like skeletal ribs."
1"Eva knelt beside her, her fingers tracing the air above the symbols without touching them."
41.67% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags18
uselessAdditionCount3
matches
0"She knelt again, this time studying the symbols more closely"
1"She stood, her knees popping"
2"Eva said, her voice steady despite the circumstances"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags11
fancyCount1
fancyTags
0"Eva breathed (breathe)"
dialogueSentences53
tagDensity0.208
leniency0.415
rawRatio0.091
effectiveRatio0.038
82.7547%