Run: 2026-04-25-01KQ2GGT1C5QW7GXZKYWDJWRBJ

Run Details

Duration:
21.1s
Cost:
$0.000450
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="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <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> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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
Rain hammered London. Detached House, Soho. A blur of motion—hooded figure, soaked black jacket—sprinted past the green neon of The Raven's Nest, shoes slapping wet cobblestones. Detective Harlow Quinn exploded out of the side alley, lungs burning, leather watch cold against her wrist. She'd been watching the bar for three hours. Saw him slip out the back. Knew his face from the grainy CCTV still pinned to her board: possible fence for supernatural artifacts, low-level but connected to a bigger web she couldn't yet prove. "Metropolitan Police! Stop!" The figure didn't slow. He veered into Berwick Street, past bins and a struggling neon sign for an adult shop. Quinn closed the gap, boots pounding, rain streaming off her closely cropped hair into her eyes. She blinked it away. Eighteen years on the force. She'd chased better runners. He ducked left into an alley that reeked of wet cardboard and urine. Graffiti crawled the brickwork—symbols she didn't recognize, spirals and eyes. She ignored them. Focus. The alley dead-ended at a steel door, propped open with a chunk of loose concrete. The suspect shoved through, and the door clanged shut behind him. Quinn grabbed the handle. Locked. She swore, kicked it once, then saw the gap beside the concrete block—a narrow squeeze. She pressed her back against the wall, sucked in her stomach, and slid through. Darkness. The air changed—cooler, musty, with a metallic undertone like old pennies. Her hand went to the Glock holstered under her coat. Not drawn. Not yet. Her eyes adjusted. Stairs. Tiled steps descending into a subway entrance that shouldn't exist. The station had been closed for decades. She knew the map of London's ghost tubes. This one wasn't on it. The suspect's footsteps echoed below. Quinn pulled out her torch. The beam sliced through blackness, revealing a tunnel with curved white tiles, their surfaces stained amber by age and moisture. No trains. No tracks. Just a long corridor that smelled of incense and wet stone. She moved down, keeping to the edge where the stairs were less likely to creak. Her torchlight caught something on the wall—a small alcove with a bowl of bones. Human bones? No. Too small. Finger bones? She didn't touch it. At the bottom, the tunnel opened into a cavernous space. An abandoned Tube platform, but transformed. Canvas tarps hung from the ceiling, creating makeshift stalls. Lanterns flickered—blue, green, the color of rot. Figures moved among them: some human-shaped, some not. A stall sold jars of glowing dust. Another displayed what looked like dried animal parts, but the shapes were wrong. A creature with too many joints haggled in a language that scraped against her ears. The Veil Market. She'd heard whispers. Never believed them fully. Her partner, DS Morris, had mentioned it three years ago, just before he died. *"It's real, Harlow. They trade in things that don't belong in our world."* She'd dismissed it as stress, grief over a difficult case. Then he was killed—stabbed in a locked room with no weapon found. The suspect was weaving through the crowd, heading deeper. Quinn holstered her torch, kept her hand on the grip of her gun. The market-goers watched her. A vendor with milky eyes smiled, revealing teeth filed to points. "Fresh meat," he hissed. She ignored him. Pushed past a stall selling bottled shadows. Her target was fifty feet ahead, moving with purpose. But at the entrance to a narrower passage, a guard stood—a tall figure in a long coat, face obscured by a bone mask. He held out a hand. "Token." She didn't have one. The suspect had a token, probably. That's how he got in. She'd followed through the shortcut, bypassing the main gate. But the guard was blocking her path now, and she couldn't dart around—the alley was too narrow. "Police," she said, showing her badge. "I'm in pursuit of a suspect." The guard didn't move. "Token." "This is a police operation. You're obstructing justice." "Token or leave." She could draw her weapon. But what then? She was one human with a Glock in a market full of things that might not care about bullets. The suspect was getting away. The passage led deeper, into a twisting tunnel lit by candles that floated in midair. She could turn back. Radio for backup. Come back with a warrant, with armed units. But the market would vanish by morning—she knew that. It moved with the full moon. Tonight was the full moon. Her decision had to be made now. She looked at the guard. At the bone mask. At the market around her, pulsing with forbidden deals. Her partner had died chasing this world. Maybe that's why she was here, chasing a low-level fence into the dark. Quinn reached into her pocket. Found the small bone she kept as a keychain—a dog's tooth, maybe. Not a proper token, but she had nothing else. She held it up. The guard tilted his head. A long silence. Then he stepped aside. She didn't wait to see if he'd change his mind. She pushed past and ran into the tunnel, following the fading echo of footsteps, deeper into a world she'd only glimpsed in nightmares.
created_at"2026-04-25T14:25:55.76Z" 4/25/2026, 2:25:55 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency533
moderation_latency(null)
generation_time21007
tokens_prompt1140
tokens_completion1686
native_tokens_prompt1003
native_tokens_completion1464
native_tokens_completion_images(null)
native_tokens_reasoning300
native_tokens_cached896
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"
usage0.000449988
router(null)
provider_responses
0
endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"1fbb1f63-38c8-4ec1-8325-018d4c641708"
is_byokfalse
latency285
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-1777127155-HJlckiBUoox4xN4W8mXZ"
session_id(null)
api_type"completions"
id"gen-1777127155-t2gq5dLDwrTOlqju5Fae"
upstream_id"1fbb1f63-38c8-4ec1-8325-018d4c641708"
total_cost0.000449988
cache_discount0.000100352
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
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences9
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount875
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
48.57% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount875
totalAiIsms9
found
0
word"pounding"
count1
1
word"streaming"
count1
2
word"stomach"
count1
3
word"footsteps"
count2
4
word"echoed"
count1
5
word"flickered"
count1
6
word"silence"
count1
7
word"echo"
count1
highlights
0"pounding"
1"streaming"
2"stomach"
3"footsteps"
4"echoed"
5"flickered"
6"silence"
7"echo"
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
narrationSentences104
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences104
filterMatches
0"watch"
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
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords13
totalWords863
ratio0.015
matches
0"\"It's real, Harlow. They trade in things that don't belong in our world.\""
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions21
wordCount825
uniqueNames14
maxNameDensity0.73
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
London2
House1
Soho1
Raven1
Nest1
Harlow1
Quinn6
Berwick1
Street1
Glock2
Tube1
Veil1
Market1
Morris1
persons
0"Raven"
1"Harlow"
2"Quinn"
3"Morris"
places
0"London"
1"House"
2"Soho"
3"Berwick"
4"Street"
5"Market"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences55
glossingSentenceCount1
matches
0"looked like dried animal parts, but the s"
84.13% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.159
wordCount863
matches
0"Not a proper token, but she had nothing else"
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
totalParagraphs29
mean29.76
std19.16
cv0.644
sampleLengths
026
159
23
349
453
534
626
734
845
940
1075
113
1256
1337
144
1519
1629
1741
1812
195
208
213
2247
2335
247
2538
2630
2712
2833
98.52% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences104
matches
0"been closed"
1"was killed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs155
matches
0"was weaving"
1"was blocking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount12
semicolonCount0
flaggedSentences11
totalSentences110
ratio0.1
matches
0"A blur of motion—hooded figure, soaked black jacket—sprinted past the green neon of The Raven's Nest, shoes slapping wet cobblestones."
1"Graffiti crawled the brickwork—symbols she didn't recognize, spirals and eyes."
2"She swore, kicked it once, then saw the gap beside the concrete block—a narrow squeeze."
3"The air changed—cooler, musty, with a metallic undertone like old pennies."
4"Her torchlight caught something on the wall—a small alcove with a bowl of bones."
5"Lanterns flickered—blue, green, the color of rot."
6"Then he was killed—stabbed in a locked room with no weapon found."
7"But at the entrance to a narrower passage, a guard stood—a tall figure in a long coat, face obscured by a bone mask."
8"But the guard was blocking her path now, and she couldn't dart around—the alley was too narrow."
9"But the market would vanish by morning—she knew that."
10"Found the small bone she kept as a keychain—a dog's tooth, maybe."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount842
adjectiveStacks0
stackExamples(empty)
adverbCount23
adverbRatio0.027315914489311165
lyAdverbCount5
lyAdverbRatio0.0059382422802850355
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
mean7.85
std5.7
cv0.727
sampleLengths
03
13
220
317
48
56
628
73
84
916
1016
114
125
134
1413
1510
163
171
1815
1911
204
211
2215
2314
241
2511
2610
272
282
293
301
3110
327
338
345
355
365
3720
382
392
4011
4115
4214
432
441
452
462
474
4810
496
64.85% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.42727272727272725
totalSentences110
uniqueOpeners47
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences91
matches
0"Just a long corridor that"
1"Then he was killed—stabbed in"
2"Maybe that's why she was"
3"Then he stepped aside."
ratio0.044
74.95% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences91
matches
0"She'd been watching the bar"
1"He veered into Berwick Street,"
2"She blinked it away."
3"She'd chased better runners."
4"He ducked left into an"
5"She ignored them."
6"She swore, kicked it once,"
7"She pressed her back against"
8"Her hand went to the"
9"Her eyes adjusted."
10"She knew the map of"
11"She moved down, keeping to"
12"Her torchlight caught something on"
13"She didn't touch it."
14"She'd heard whispers."
15"Her partner, DS Morris, had"
16"She'd dismissed it as stress,"
17"She ignored him."
18"Her target was fifty feet"
19"He held out a hand."
ratio0.363
80.88% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount69
totalSentences91
matches
0"A blur of motion—hooded figure,"
1"Detective Harlow Quinn exploded out"
2"She'd been watching the bar"
3"The figure didn't slow."
4"He veered into Berwick Street,"
5"Quinn closed the gap, boots"
6"She blinked it away."
7"She'd chased better runners."
8"He ducked left into an"
9"Graffiti crawled the brickwork—symbols she"
10"She ignored them."
11"The alley dead-ended at a"
12"The suspect shoved through, and"
13"Quinn grabbed the handle."
14"She swore, kicked it once,"
15"She pressed her back against"
16"The air changed—cooler, musty, with"
17"Her hand went to the"
18"Her eyes adjusted."
19"The station had been closed"
ratio0.758
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences91
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences34
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
38.89% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"he hissed (hiss)"
dialogueSentences9
tagDensity0.222
leniency0.444
rawRatio0.5
effectiveRatio0.222
86.3591%