Run: 2026-04-25-01KQ2DRPKQFEXFN0EXFZJD0ECK

Run Details

Duration:
49.4s
Cost:
$0.001559
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
The rain came down in sheets, turning the sodium-lit streets of Soho into a blur of reflected light. Detective Harlow Quinn’s shoes slapped against wet pavement as she rounded the corner onto Brewer Street, her breath coming in controlled bursts. Twenty yards ahead, Tomás Herrera glanced back over his shoulder, his dark curls plastered to his forehead. “Met Police! Stop!” Her voice cut through the downpour, but Tomás only put on a burst of speed, his olive-skinned hand reaching out to steady himself against a lamppost as he veered sharply into an alley. Harlow’s worn leather watch read 11:47 PM. She’d been tracking Herrera for three weeks, ever since the tip came in about an unlicensed medic treating patients with injuries that didn’t match any conventional trauma. Burn marks in the shape of handprints. Lacerations that healed overnight. And all of it tied to a group that operated out of a bar called The Raven’s Nest. She skidded into the alley, her shoulder brushing against wet brick. A chain-link fence blocked the far end, but Herrera was already scaling it with the practiced ease of someone who’d done this before. The Saint Christopher medallion around his neck caught the light as it swung free from his shirt. Harlow grabbed the fence and hauled herself over, the metal biting into her palms. She dropped to the other side just in time to see Herrera disappear through a maintenance door in the side of what looked like a defunct electrical substation. The door swung shut with a clang that echoed off the surrounding buildings. She drew her service weapon. Standard procedure said to wait for backup. Standard procedure said not to follow a potentially dangerous suspect into an unfamiliar structure without proper support. But standard procedure had also told her that DS Morris’s death three years ago was a simple case of cardiac arrest, and she’d spent every day since learning just how many lies the Met could tell itself. The door led to a stairwell. Concrete steps descended into darkness, the only illumination coming from a single flickering fluorescent tube halfway down. The air changed as she descended—warmer, drier, carrying a scent she couldn’t quite place. Something like ozone mixed with incense. “Herrera,” she called out, her voice swallowed by the narrow passage. “I’m not here to hurt you. I just want to talk.” No response. Just the distant echo of footsteps moving downward. The stairs went deeper than any normal basement. After four flights, Harlow estimated she was at least forty feet below street level. The walls transitioned from poured concrete to older brick, and then to rough-hewn stone that looked ancient. The fluorescent lights gave way to something else entirely—globes of pale blue light mounted in wrought-iron sconces that cast no shadows. She holstered her weapon but kept her hand near it. The stairwell ended at a pair of heavy wooden doors banded with iron. One of them stood slightly ajar, a sliver of warm light spilling through. From beyond came the murmur of voices, the clink of glass, the occasional burst of laughter that sounded just slightly wrong. Harlow pushed the door open and stepped into the Veil Market. The abandoned Tube station stretched before her, its vaulted ceiling lost in shadow high above. Stalls and booths lined the old platforms, their vendors hawking wares that made her trained eye catalogue and categorize: jars containing liquids that moved against gravity, weapons that gleamed with their own inner light, cages holding things she refused to look at directly. The tracks themselves had been filled in, creating a wide boulevard where a crowd milled about. Some looked human. Many did not. A vendor to her left—an elderly woman with eyes the color of tarnished silver—called out. “Fresh from the crossroads, Detective. A truth that will break your heart for only a single memory.” Harlow walked past without acknowledging her. Her focus remained on Herrera, who had slowed to a walk thirty yards ahead, pushing through the crowd near a stall selling what appeared to be bottled shadows. “Tomás,” she said, loud enough to carry. He stopped. Turned. The scar along his left forearm stood out pale against his skin as he raised his hands in a gesture that was part surrender, part warning. “You shouldn’t have followed me down here, Detective Quinn.” “You know my name.” “I know a lot of things.” He glanced around at the market, at the faces that were starting to take notice of their exchange. A hush rippled outward from where they stood. “But more importantly, they know yours now. The bone tokens don’t just buy entry—they buy silence. Protection. You walked in without one, and every creature here clocked you the second you stepped through those doors.” A figure detached itself from the crowd. Seven feet tall, wrapped in what looked like burial linens, its face a smooth expanse of bone-white porcelain. It glided rather than walked, stopping at the periphery of their confrontation. “The Market recognizes an uninvited guest,” it said, its voice sounding like wind through dead leaves. “State your business, woman of the law, or be removed.” Harlow’s hand moved to her holster. She didn’t draw, but the motion wasn’t lost on the creature. It tilted its head in a way that suggested amusement rather than concern. “I’m here for him,” she said, nodding toward Herrera. “He’s wanted for questioning in connection with several unauthorized medical procedures. Once I have his statement, I’ll leave.” Herrera laughed, but there was no humor in it. “Questioning. Right. Like they questioned your partner before he ended up with his heart turned inside out?” The words hit her like a physical blow. She took a step forward. “What did you say?” “DS Morris. Three years ago. You think it was a heart attack, but his heart didn’t fail—it was inverted. Flipped inside his chest cavity like a glove. The coroner’s report was sealed by people who don’t exist in any government database.” Herrera’s voice dropped. “I know because I was the paramedic who responded to the call. I saw what was done to him before they made me sign the nondisclosure papers.” The creature in the burial linens made a sound that might have been a chuckle. “Ah. The Morris incident. That was Varnik’s work, wasn’t it? Messy. Effective, but messy.” Harlow’s vision tunneled. Eighteen years on the force, and she’d spent the last three chasing shadows that turned out to be far more substantial than she’d ever imagined. She’d seen things she couldn’t explain. Documented cases she’d been ordered to close. And now, standing in a forbidden market beneath the streets of London, a disgraced paramedic was telling her that her partner’s death had been a murder committed by something called Varnik. “You have a choice, Detective,” Herrera said. “You can try to arrest me, which won’t end well for you in this place. Or you can walk away and keep pretending the world makes sense.” He paused, and something in his expression shifted. “Or you can stay, and I can show you what the Raven’s Nest actually does. Why we exist. Why people like me risk everything to help people that your world doesn’t even believe in.” The seven-foot creature leaned closer, its porcelain face inches from hers. It had no breath, no scent, no warmth. “Choose,” it whispered. The crowd had gone silent. Dozens of faces—human, inhuman, and something in between—watched her. The blue globes flickered. Somewhere deeper in the market, something roared, and the sound was answered by a chorus of laughter. Harlow’s hand rested on her holster. Her watch ticked against her wrist. Rainwater still dripped from the hem of her coat onto the ancient stone floor. She made her choice.
created_at"2026-04-25T13:37:48.67Z" 4/25/2026, 1:37:48 PM
model"deepseek/deepseek-v4-pro-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency990
moderation_latency(null)
generation_time49370
tokens_prompt1140
tokens_completion2059
native_tokens_prompt1003
native_tokens_completion1701
native_tokens_completion_images(null)
native_tokens_reasoning0
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"
usage0.001558895
router(null)
provider_responses
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is_byokfalse
latency288
model_permaslug"deepseek/deepseek-v4-pro-20260423"
provider_name"DeepSeek"
status200
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags10
adverbTagCount1
adverbTags
0"He glanced around [around]"
dialogueSentences22
tagDensity0.455
leniency0.909
rawRatio0.1
effectiveRatio0.091
88.45% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1299
totalAiIsmAdverbs3
found
0
adverb"sharply"
count1
1
adverb"slightly"
count2
highlights
0"sharply"
1"slightly"
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)
46.11% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1299
totalAiIsms14
found
0
word"practiced ease"
count1
1
word"echoed"
count1
2
word"standard"
count3
3
word"structure"
count1
4
word"echo"
count1
5
word"footsteps"
count1
6
word"silence"
count1
7
word"porcelain"
count2
8
word"database"
count1
9
word"warmth"
count1
10
word"flickered"
count1
highlights
0"practiced ease"
1"echoed"
2"standard"
3"structure"
4"echo"
5"footsteps"
6"silence"
7"porcelain"
8"database"
9"warmth"
10"flickered"
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
narrationSentences80
matches(empty)
89.29% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences80
filterMatches
0"watch"
hedgeMatches
0"appeared to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences92
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen45
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1291
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions15
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions35
wordCount996
uniqueNames18
maxNameDensity0.9
worstName"Harlow"
maxWindowNameDensity2
worstWindowName"Herrera"
discoveredNames
Soho1
Harlow9
Quinn1
Brewer1
Street1
Tomás2
Herrera9
Raven1
Nest1
Saint1
Christopher1
Morris1
Met1
Veil1
Market1
Tube1
London1
Varnik1
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Raven"
5"Saint"
6"Christopher"
7"Morris"
8"Met"
places
0"Soho"
1"Brewer"
2"Street"
3"Veil"
4"Market"
5"London"
globalScore1
windowScore1
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences64
glossingSentenceCount4
matches
0"looked like a defunct electrical substati"
1"quite place"
2"Something like ozone mixed with incense"
3"looked like burial linens, its face a smo"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1291
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences92
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs36
mean35.86
std22.66
cv0.632
sampleLengths
057
136
263
351
455
566
643
722
810
960
1010
1147
1211
1380
1432
1534
167
1729
189
194
2067
2137
2226
2330
2427
2526
2617
2771
2829
2972
3076
3119
323
3335
3426
354
92.11% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences80
matches
0"been filled"
1"been ordered"
2"was answered"
85.71% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs175
matches
0"was already scaling"
1"were starting"
2"was telling"
18.63% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences4
totalSentences92
ratio0.043
matches
0"The air changed as she descended—warmer, drier, carrying a scent she couldn’t quite place."
1"The fluorescent lights gave way to something else entirely—globes of pale blue light mounted in wrought-iron sconces that cast no shadows."
2"A vendor to her left—an elderly woman with eyes the color of tarnished silver—called out."
3"Dozens of faces—human, inhuman, and something in between—watched her."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1009
adjectiveStacks0
stackExamples(empty)
adverbCount33
adverbRatio0.03270564915758176
lyAdverbCount9
lyAdverbRatio0.008919722497522299
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences92
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences92
mean14.03
std9.7
cv0.691
sampleLengths
018
122
217
336
47
527
67
74
818
911
1023
1117
1214
1328
1413
155
167
1717
1837
196
2017
2114
226
2311
2411
252
268
278
2814
2917
3021
3110
3213
3313
3421
3511
3615
3743
3816
393
403
4115
4217
436
4428
457
462
471
4826
499
75.36% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.4782608695652174
totalSentences92
uniqueOpeners44
88.89% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences75
matches
0"Just the distant echo of"
1"Somewhere deeper in the market,"
ratio0.027
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences75
matches
0"Her voice cut through the"
1"She’d been tracking Herrera for"
2"She skidded into the alley,"
3"She dropped to the other"
4"She drew her service weapon."
5"she called out, her voice"
6"She holstered her weapon but"
7"Her focus remained on Herrera,"
8"she said, loud enough to"
9"He glanced around at the"
10"It glided rather than walked,"
11"it said, its voice sounding"
12"She didn’t draw, but the"
13"It tilted its head in"
14"she said, nodding toward Herrera"
15"She took a step forward."
16"She’d seen things she couldn’t"
17"He paused, and something in"
18"It had no breath, no"
19"Her watch ticked against her"
ratio0.28
66.67% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount59
totalSentences75
matches
0"The rain came down in"
1"Detective Harlow Quinn’s shoes slapped"
2"Her voice cut through the"
3"Harlow’s worn leather watch read"
4"She’d been tracking Herrera for"
5"Burn marks in the shape"
6"Lacerations that healed overnight."
7"She skidded into the alley,"
8"A chain-link fence blocked the"
9"The Saint Christopher medallion around"
10"Harlow grabbed the fence and"
11"She dropped to the other"
12"The door swung shut with"
13"She drew her service weapon."
14"The door led to a"
15"The air changed as she"
16"Something like ozone mixed with"
17"she called out, her voice"
18"The stairs went deeper than"
19"The walls transitioned from poured"
ratio0.787
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences75
matches(empty)
ratio0
17.86% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences40
technicalSentenceCount7
matches
0"She’d been tracking Herrera for three weeks, ever since the tip came in about an unlicensed medic treating patients with injuries that didn’t match any conventi…"
1"A chain-link fence blocked the far end, but Herrera was already scaling it with the practiced ease of someone who’d done this before."
2"The walls transitioned from poured concrete to older brick, and then to rough-hewn stone that looked ancient."
3"The fluorescent lights gave way to something else entirely—globes of pale blue light mounted in wrought-iron sconces that cast no shadows."
4"From beyond came the murmur of voices, the clink of glass, the occasional burst of laughter that sounded just slightly wrong."
5"Stalls and booths lined the old platforms, their vendors hawking wares that made her trained eye catalogue and categorize: jars containing liquids that moved ag…"
6"The scar along his left forearm stood out pale against his skin as he raised his hands in a gesture that was part surrender, part warning."
75.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount1
matches
0"it said, its voice sounding like wind through dead leaves"
59.09% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount2
fancyTags
0"she called out (call out)"
1"it whispered (whisper)"
dialogueSentences22
tagDensity0.273
leniency0.545
rawRatio0.333
effectiveRatio0.182
80.1057%