Run: 2026-04-25-01KQ2EBQPW1Q2M1QFBJ2V0E7Y0

Run Details

Duration:
1m 29s
Cost:
$0.002750
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 that turned the Camden backstreets into blurred mirrors of neon and sodium glare. Detective Harlow Quinn’s salt-and-pepper hair lay plastered to her skull, the chill sliding beneath her collar. She didn’t feel it. Her focus had narrowed to the figure thirty yards ahead—a slim shape in a waxed jacket, feet kicking up spray as it veered sharp into an alley clogged with dumpsters. She didn’t shout a warning. Eighteen years had taught her that breath was better spent on forward motion. Her worn leather watch bit into her wrist as she tracked the suspect’s line. The jacket snagged for one heartbeat on a rusted fire escape—enough. Quinn closed the gap with military economy, boots cracking puddles, eyes fixed. The suspect twisted free and plunged down a set of stone steps half-hidden by tarpaulin. A dead-end service entrance. Or not. Quinn’s hand found the railing, slick with rain and something oilier. She descended without breaking stride. The steps bottomed out into a tunnel mouth, brick arched and streaked with decades of grime. The suspect’s footsteps echoed ahead, irregular splashes. The air thickened, tasting of wet iron and incense. A faint green glow pulsed once against the tunnel walls—the suspect’s torch, maybe. Quinn palmed her own Maglite but kept it dark. She moved by sound, by instinct, the way Morris had taught her before he— She crushed that thought. The tunnel terminated at a steel door propped ajar with a chunk of broken concrete. Beyond it, the soundscape shifted. Voices, dozens of them, layering into a muted roar like a distant tide. Light bled through the gap, not the steady white of fluorescents but a warm, unsteady amber, as if the walls themselves smoldered. Quinn pressed her shoulder to the cold metal and eased through. She stood on a grated catwalk overlooking a concourse carved from an abandoned Tube station. The vaulted ceiling arched three storeys high, its tiles adorned with hanging cages where globes of phosphorescent moss pulsed in slow, hypnotic rhythm. Below, stalls cobbled together from pallets and salvaged shopfronts sprawled in a labyrinth. The smell hit her next: smoked meat, damp wool, ozone, and something sweetly rotten. The Veil Market. She’d read the files, the ones stamped with codes that didn’t exist. A moving black market, supernatural in provenance, peddling alchemical poisons and enchanted information. Her jaw tightened. She’d laughed at those reports once. Before Morris. The suspect was twenty feet ahead, sliding between a cart loaded with glass vials and a stall draped in velvet. Quinn launched off the catwalk, boots ringing on the steel grate, and vaulted a stack of wooden crates. The market didn’t pause for her—merchants with filed teeth and patrons in Victorian mourning veils merely shifted aside like water around a stone. She lost visual on the jacket for two seconds. A sliver of panic. Then she saw it: a narrow fissure between two patchwork structures where the amber light didn’t reach. The suspect had ducked inside. Quinn followed. The fissure widened into a circular chamber ringed with doors. None of them looked like they belonged to the same century. The suspect slammed through the third—ornate iron, studded with blackened rivets—and a sharp cry echoed from within. Quinn drew her sidearm. The weight of it steadied her breathing. She nudged the iron door with her toe. The room beyond was a makeshift surgery. A gurney stood beneath a bare bulb, the sheets stained rust-brown. Shelves of unlabeled tinctures lined the walls. And there, standing over a tray of suture tools, was the suspect. But it wasn’t him Quinn’s eyes caught on. A man in a blood-flecked apron turned from the gurney. Warm brown eyes, olive skin. A Saint Christopher medallion glinted at his throat. Tomás Herrera—a name from her caseboard, a former paramedic who’d slipped off the grid after losing his license. She’d seen his photo pinned beneath a sticky note: *Off-books medical care. Supernatural clientele.* “Detective.” Herrera’s voice carried a Sevillan lilt, calm even as his patient—a woman with scales where her skin should be—whimpered on the table. “This is a place for healing, not for guns.” The suspect spun, hood falling back. A youth, no more than nineteen, with a gill-like slits pulsing at his neck. He held a bone token carved with a leering face. Quinn kept her weapon level. “Step away from the table.” Herrera didn’t move. “You don’t have a tokened entry. The sentinels will scent your trespass within minutes. You can’t protect anyone here, least of all yourself.” She heard the truth in it. Already, a subsonic hum prickled along her spine—the wardings of the Market noticing her uninvited presence. The iron door behind her swung shut with a clang that felt too deliberate. The youth bolted, not toward the surgery’s rear exit but sideways, into a shadow that swallowed him whole. Quinn lunged—and hit a wall of cold air that reeked of clove and old bones. A sentinel, faceless beneath a hood of stitched leather, materialized from the dark. Long fingers extended, not toward her, but toward the bone token in Herrera’s hand. “Unsanctioned entry,” the sentinel hissed, its voice a chorus of whispers. “Shed your steel or shed your name.” Quinn’s finger brushed the trigger. Her military training screamed tactical retreat—she was outnumbered, out-grounded, and the rules of engagement were written in a language she didn’t speak. But the youth was gone into a warren of tunnels where extradition treaties held no meaning. And she’d seen Herrera’s calm, how he’d warned her instead of running. This was the line Morris had crossed. The one the files never explained. The leather watch ticked against her pulse. The sentinel’s fingers grew longer. Herrera set down his tray and met her gaze. Quinn lowered the gun. Not in surrender. In calculation. “You treat criminals and creatures,” she said. “Now you’ll treat me to information. Where did that boy go, and what did he steal that brought him bleeding to your table?” Herrera’s lips twitched—not a smile, but recognition. “That’s a different kind of currency.” “I’m good for it.” The sentinel loomed, waiting for her badge, her weapon, her forfeiture. Quinn thumbed the safety on but didn’t hand it over. She locked eyes with the hooded figure and spoke the words that would either grant her passage or leave her nameless in the dark. “Detective Harlow Quinn, badge forty-four-sixteen. I’m pursuing a suspect. Stand aside.” The sentinel’s hand halted an inch from her throat. The market’s roar swelled, then cut to silence. In the gap before the answer came, she chose.
created_at"2026-04-25T13:48:12.384Z" 4/25/2026, 1:48:12 PM
model"deepseek/deepseek-v4-pro-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency760
moderation_latency(null)
generation_time89361
tokens_prompt1140
tokens_completion3486
native_tokens_prompt1003
native_tokens_completion3070
native_tokens_completion_images(null)
native_tokens_reasoning1519
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"
usage0.002749925
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provider_responses
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is_byokfalse
latency289
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
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences11
tagDensity0.273
leniency0.545
rawRatio0
effectiveRatio0
95.50% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1110
totalAiIsmAdverbs1
found
0
adverb"sweetly"
count1
highlights
0"sweetly"
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)
18.92% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1110
totalAiIsms18
found
0
word"chill"
count1
1
word"footsteps"
count1
2
word"echoed"
count2
3
word"pulsed"
count2
4
word"velvet"
count1
5
word"weight"
count1
6
word"lilt"
count1
7
word"sentinels"
count1
8
word"sentinel"
count5
9
word"pulse"
count1
10
word"loomed"
count1
11
word"silence"
count1
highlights
0"chill"
1"footsteps"
2"echoed"
3"pulsed"
4"velvet"
5"weight"
6"lilt"
7"sentinels"
8"sentinel"
9"pulse"
10"loomed"
11"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
narrationSentences95
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences95
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences103
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords5
totalWords1097
ratio0.005
matches
0"Off-books medical care. Supernatural clientele."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
80.07% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions35
wordCount1001
uniqueNames13
maxNameDensity1.4
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Camden1
Harlow1
Quinn14
Maglite1
Morris3
Tube1
Veil1
Market2
Victorian1
Saint1
Christopher1
Herrera7
Sevillan1
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Market"
4"Saint"
5"Christopher"
6"Herrera"
places(empty)
globalScore0.801
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences71
glossingSentenceCount1
matches
0"looked like they belonged to the same cen"
0.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches4
per1kWords3.646
wordCount1097
matches
0"not the steady white of fluorescents but a warm, unsteady amber, as if the walls themselves smoldered"
1"not toward the surgery’s rear exit but sideways, into a shadow"
2"not toward her, but toward the bone token in Herrera’s hand"
3"not a smile, but recognition"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences103
matches
0"crushed that thought"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs35
mean31.34
std19.46
cv0.621
sampleLengths
069
118
258
348
436
54
655
711
865
93
1036
1161
1237
1338
1419
1537
168
1755
1832
1930
2010
2126
2236
2360
2418
2555
2613
2721
289
2930
3013
314
3245
3311
3426
97.88% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences95
matches
0"was outnumbered"
1"were written"
2"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs172
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount14
semicolonCount0
flaggedSentences12
totalSentences103
ratio0.117
matches
0"Her focus had narrowed to the figure thirty yards ahead—a slim shape in a waxed jacket, feet kicking up spray as it veered sharp into an alley clogged with dumpsters."
1"The jacket snagged for one heartbeat on a rusted fire escape—enough."
2"A faint green glow pulsed once against the tunnel walls—the suspect’s torch, maybe."
3"She moved by sound, by instinct, the way Morris had taught her before he—"
4"The market didn’t pause for her—merchants with filed teeth and patrons in Victorian mourning veils merely shifted aside like water around a stone."
5"The suspect slammed through the third—ornate iron, studded with blackened rivets—and a sharp cry echoed from within."
6"Tomás Herrera—a name from her caseboard, a former paramedic who’d slipped off the grid after losing his license."
7"“Detective.” Herrera’s voice carried a Sevillan lilt, calm even as his patient—a woman with scales where her skin should be—whimpered on the table."
8"Already, a subsonic hum prickled along her spine—the wardings of the Market noticing her uninvited presence."
9"Quinn lunged—and hit a wall of cold air that reeked of clove and old bones."
10"Her military training screamed tactical retreat—she was outnumbered, out-grounded, and the rules of engagement were written in a language she didn’t speak."
11"Herrera’s lips twitched—not a smile, but recognition."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1020
adjectiveStacks0
stackExamples(empty)
adverbCount14
adverbRatio0.013725490196078431
lyAdverbCount2
lyAdverbRatio0.00196078431372549
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences103
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences103
mean10.65
std6.04
cv0.567
sampleLengths
019
116
24
330
45
513
614
711
812
915
104
112
1211
135
1416
157
169
1713
189
1914
204
2115
225
2313
2422
2511
2615
2723
2813
2914
303
3112
3213
333
346
352
3620
3718
3823
399
404
4117
425
432
4410
4511
4617
474
487
498
48.87% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.33980582524271846
totalSentences103
uniqueOpeners35
74.91% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences89
matches
0"Then she saw it: a"
1"Already, a subsonic hum prickled"
ratio0.022
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount18
totalSentences89
matches
0"She didn’t feel it."
1"Her focus had narrowed to"
2"She didn’t shout a warning."
3"Her worn leather watch bit"
4"She descended without breaking stride."
5"She moved by sound, by"
6"She crushed that thought."
7"She stood on a grated"
8"She’d read the files, the"
9"Her jaw tightened."
10"She’d laughed at those reports"
11"She lost visual on the"
12"She nudged the iron door"
13"She’d seen his photo pinned"
14"He held a bone token"
15"She heard the truth in"
16"Her military training screamed tactical"
17"She locked eyes with the"
ratio0.202
38.65% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount75
totalSentences89
matches
0"The rain came down in"
1"Detective Harlow Quinn’s salt-and-pepper hair"
2"She didn’t feel it."
3"Her focus had narrowed to"
4"She didn’t shout a warning."
5"Her worn leather watch bit"
6"The jacket snagged for one"
7"Quinn closed the gap with"
8"The suspect twisted free and"
9"A dead-end service entrance."
10"Quinn’s hand found the railing,"
11"She descended without breaking stride."
12"The steps bottomed out into"
13"The suspect’s footsteps echoed ahead,"
14"The air thickened, tasting of"
15"A faint green glow pulsed"
16"Quinn palmed her own Maglite"
17"She moved by sound, by"
18"She crushed that thought."
19"The tunnel terminated at a"
ratio0.843
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences89
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences48
technicalSentenceCount2
matches
0"The rain came down in sheets that turned the Camden backstreets into blurred mirrors of neon and sodium glare."
1"Light bled through the gap, not the steady white of fluorescents but a warm, unsteady amber, as if the walls themselves smoldered."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount1
matches
0"the sentinel hissed, its voice a chorus of whispers"
59.09% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"the sentinel hissed (hiss)"
dialogueSentences11
tagDensity0.182
leniency0.364
rawRatio0.5
effectiveRatio0.182
77.1292%