Run: 2026-04-25-01KQ2FE6ZBPQ192SWWSX0MV9AC

Run Details

Duration:
2m 3s
Cost:
$0.003994
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 hammered Soho's ancient cobblestones with the persistence of a thousand tiny fists. Harlow Quinn's lungs burned as she drove through the downpour, her shoes slipping on the wet pavement. Thirty yards ahead, a figure weaved between the late-night drinkers spilling from pubs, his silhouette a dark blur against the neon smear of The Raven's Nest. The green sign above the bar flickered once, twice, a sickly pulse in the storm. Thomás Herrera. She'd spent three weeks building a case, tracing the threads of illicit medical supplies back to his shuttered clinic. The scar on his left forearm, the Saint Christopher medallion he never removed—she'd catalogued every detail from the surveillance photos. Now he ran, and that guilt felt more solid than anything she'd pinned to her evidence board. "Metropolitan Police! Stop!" Her voice cut through the rain, a blade shaped by eighteen years of authority. Herrera glanced back. His eyes, warm and unreadable in the flash of a streetlamp, held something that stalled her stride for half a heartbeat—not fear, but a weary recognition. Then he turned and bolted down an alley narrow enough to feel like a throat. Quinn pushed harder, her sharp jaw set against the ache in her quadriceps. The worn leather watch on her left wrist read 2:47 AM. A stupid hour for a chase. A stupider hour to be following a man into the labyrinth of London's backstreets, but she remembered DS Morris, remembered the file marked "unexplained circumstances," remembered the cold weight of unanswered questions. The alley spat them into a wider lane. Rain lashed at the black-and-white photographs pasted to a boarded-up shopfront—faded images of a London that existed only in memory. Herrera vaulted a pile of discarded pallets, his foot catching a loose board. The crack echoed, but he recovered, dashing toward the mouth of an abandoned Tube station. The Camden Market entrance, long sealed after a tunnel collapse two decades ago, gaped like a wound in the city's flank. Iron bars, twisted and rusted, lay pried aside just enough for a man to slip through. Quinn's hand found her torch. She clicked it on, the beam dancing over wet concrete and shattered tiles. Herrera's footsteps clattered down the escalator, the sound swallowed by the dark. She hesitated, rain streaming down her closely cropped salt-and-pepper hair, tracing rivulets along her jawline. This wasn't part of the plan. Backup wouldn't arrive for another ten minutes, and this place wasn't on any official map of operational zones. But she followed. Because that was what she did. Because Morris had gone into the dark without hesitation, and three years later, she still couldn't stop replaying that moment. The escalator was a steel skeleton, its steps jagged teeth descending into a cavern of stale air. The rain's percussive rhythm faded, replaced by a hum—low, thrumming, like a generator beneath the earth. Her torch flickered. She smacked it against her palm, and the beam steadied. At the bottom, the ticket hall spread before her. Tiles, once white, now wore a patina of grime and graffiti. But the graffiti moved—shapes that coiled and skittered at the edge of her vision. She blinked hard, attributing it to exhaustion, to the rain, to anything but the impossible. Herrera's silhouette paused at a far archway, his medallion catching the torchlight. "You shouldn't be here, Detective." His accent, Spanish, softer than she expected, carried a weight of genuine concern. "Neither should you." Quinn advanced, her stride retaining the military precision of her early years in service. "But here we are. Let's talk about the off-the-books surgeries, Tomás. You want to help people? Let me help you." He laughed, a sound without humor. "You help with handcuffs and cages. My patients? They'd die in your care." He turned and slipped through the archway. Quinn sprinted after him, but as she crossed the threshold, the air changed. It thickened, tasting of ozone and clove. The tunnel narrowed, walls closing in until she had to twist sideways, and then— She stumbled into a vast platform. But not the platform of a Tube station. Stalls made of salvaged wood and corrugated metal lined the tracks, lit by lanterns that burned with unearthly colors—emerald, violet, a deep amber that cast no shadows. Merchants hawked their wares in languages that her mind could almost parse, glass jars of liquids that swirled with their own internal light, bones etched with symbols that hurt to look at, and what might have been feathers from creatures no ornithologist had catalogued. The Veil Market. She'd heard whispers in interrogation rooms, muttered confessions from suspects who vanished before trial. A moving black market that dealt in things that science and law refused to acknowledge. Until now, those whispers were just another layer of London's criminal folklore. Her hand drifted toward her service weapon. The weight of the Glock felt suddenly inadequate. Herrera stood twenty feet away, beside a stall where a merchant with too many fingers arranged vials of what looked like shifting sand. "You followed me into the dark, Detective. But this dark has teeth." His eyes met hers. "Your partner knew that. Morris. She asked too many questions, just like you." Quinn's breath caught. The cold case files she'd memorized, the gaps in the narrative, the autopsy that listed cause of death as "cardiac event" despite the absence of any physiological cause—it all clicked into place with a sound she felt in her spine. "What did you do to her?" "Nothing. Everything. She went deeper than any of your kind should, chasing shadows you can't catch with handcuffs." Herrera gestured at the market around them. "This world exists alongside yours, and if you follow me further, it will swallow you whole. Go back, Detective. While the way is still open." The gate she'd come through—the twisted iron bars—now stood a hundred yards behind her across the platform, but the distance looked wrong, telescoped and shimmering like heat mirage on a cold night. Quinn's jaw tightened. She felt the familiar rhythm of her pulse, the steadying breath that always came before a forced entry or a jump into the unknown. Morris had been her partner, her responsibility. Three years of silence, and now a choice: retreat into the rational world where her badge meant something, or step into this upside-down place where suspects apologized and lanterns burned green. Her watch ticked against her wrist, a mundane reminder of the world above. The rain was a distant memory here, replaced by the susurrus of inhuman voices and the clinking of bone tokens exchanged for secrets. She could pull back. Call in tactical support, though she knew no one at the Yard would believe a word of what she'd seen. Or she could press forward, into territory that defied every procedure and protocol she'd sworn to uphold. Tomás Herrera turned and walked deeper into the market. The crowd parted around him like water around a stone, faces turning to her—some human, some not—with expressions of curiosity and ancient indifference. Harlow Quinn's hand left her weapon. She stepped forward, her shoes scraping on the grit of the platform, and the decision crystallized in the set of her shoulders. Not heroism. Not recklessness. Just the simple, undeniable need to know what took Morris. What world had been hiding in the tunnels beneath Camden, beneath her feet, beneath her assumptions, all this time. The green light from a nearby stall painted her features as she moved into the market.
created_at"2026-04-25T14:07:02.128Z" 4/25/2026, 2:07:02 PM
model"deepseek/deepseek-v4-pro-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency937
moderation_latency(null)
generation_time123066
tokens_prompt1140
tokens_completion5348
native_tokens_prompt1003
native_tokens_completion4500
native_tokens_completion_images(null)
native_tokens_reasoning2857
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"
usage0.003994025
router(null)
provider_responses
0
endpoint_id"d084170b-dd99-4e53-9ae1-b63881f3cfbf"
id"08a17fde-2d77-4f53-98dd-b62339f0d555"
is_byokfalse
latency289
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-1777126022-9AhAWln1je757jO6u6LA"
session_id(null)
api_type"completions"
id"gen-1777126022-5AdHzUQwwiIybWR8WczE"
upstream_id"08a17fde-2d77-4f53-98dd-b62339f0d555"
total_cost0.003994025
cache_discount0.00035728
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
totalTags8
adverbTagCount0
adverbTags(empty)
dialogueSentences12
tagDensity0.667
leniency1
rawRatio0
effectiveRatio0
96.02% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1255
totalAiIsmAdverbs1
found
0
adverb"suddenly"
count1
highlights
0"suddenly"
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)
20.32% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1255
totalAiIsms20
found
0
word"flickered"
count2
1
word"pulse"
count2
2
word"tracing"
count2
3
word"unreadable"
count1
4
word"weight"
count3
5
word"echoed"
count1
6
word"dancing"
count1
7
word"shattered"
count1
8
word"footsteps"
count1
9
word"streaming"
count1
10
word"etched"
count1
11
word"familiar"
count1
12
word"silence"
count1
13
word"reminder"
count1
14
word"crystallized"
count1
highlights
0"flickered"
1"pulse"
2"tracing"
3"unreadable"
4"weight"
5"echoed"
6"dancing"
7"shattered"
8"footsteps"
9"streaming"
10"etched"
11"familiar"
12"silence"
13"reminder"
14"crystallized"
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
narrationSentences81
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences81
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences85
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen44
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1244
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions38
wordCount1122
uniqueNames16
maxNameDensity0.71
worstName"Quinn"
maxWindowNameDensity1
worstWindowName"Quinn"
discoveredNames
Soho1
Quinn8
Raven1
Nest1
Herrera8
Saint1
Christopher1
London3
Morris4
Tube2
Camden2
Market2
Spanish1
Veil1
Glock1
Yard1
persons
0"Quinn"
1"Raven"
2"Herrera"
3"Saint"
4"Christopher"
5"Morris"
6"Glock"
places
0"Soho"
1"London"
2"Market"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences69
glossingSentenceCount1
matches
0"looked like shifting sand"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.804
wordCount1244
matches
0"not fear, but a weary recognition"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences85
matches
0"replaying that moment"
78.78% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs27
mean46.07
std19.61
cv0.426
sampleLengths
072
158
217
344
462
593
669
729
846
949
1030
1137
1226
1334
1485
1544
1615
1752
1849
1950
2032
2165
2236
2341
2432
2561
2616
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences81
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs176
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount12
semicolonCount0
flaggedSentences10
totalSentences85
ratio0.118
matches
0"The scar on his left forearm, the Saint Christopher medallion he never removed—she'd catalogued every detail from the surveillance photos."
1"His eyes, warm and unreadable in the flash of a streetlamp, held something that stalled her stride for half a heartbeat—not fear, but a weary recognition."
2"Rain lashed at the black-and-white photographs pasted to a boarded-up shopfront—faded images of a London that existed only in memory."
3"The rain's percussive rhythm faded, replaced by a hum—low, thrumming, like a generator beneath the earth."
4"But the graffiti moved—shapes that coiled and skittered at the edge of her vision."
5"The tunnel narrowed, walls closing in until she had to twist sideways, and then—"
6"Stalls made of salvaged wood and corrugated metal lined the tracks, lit by lanterns that burned with unearthly colors—emerald, violet, a deep amber that cast no shadows."
7"The cold case files she'd memorized, the gaps in the narrative, the autopsy that listed cause of death as \"cardiac event\" despite the absence of any physiological cause—it all clicked into place with a sound she felt in her spine."
8"The gate she'd come through—the twisted iron bars—now stood a hundred yards behind her across the platform, but the distance looked wrong, telescoped and shimmering like heat mirage on a cold night."
9"The crowd parted around him like water around a stone, faces turning to her—some human, some not—with expressions of curiosity and ancient indifference."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1140
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.02543859649122807
lyAdverbCount6
lyAdverbRatio0.005263157894736842
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences85
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences85
mean14.64
std8.52
cv0.582
sampleLengths
014
117
226
315
42
519
620
717
817
93
1026
1115
1213
1311
146
1532
168
1720
1813
1915
2021
2116
225
2313
2412
2515
266
2718
283
296
3020
3117
3216
333
3410
359
3611
3714
3815
3912
4018
4117
4220
436
4420
4513
467
4714
486
498
68.63% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.4470588235294118
totalSentences85
uniqueOpeners38
85.47% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences78
matches
0"Then he turned and bolted"
1"Just the simple, undeniable need"
ratio0.026
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences78
matches
0"She'd spent three weeks building"
1"Her voice cut through the"
2"His eyes, warm and unreadable"
3"She clicked it on, the"
4"She hesitated, rain streaming down"
5"Her torch flickered."
6"She smacked it against her"
7"She blinked hard, attributing it"
8"His accent, Spanish, softer than"
9"He laughed, a sound without"
10"He turned and slipped through"
11"It thickened, tasting of ozone"
12"She stumbled into a vast"
13"She'd heard whispers in interrogation"
14"Her hand drifted toward her"
15"His eyes met hers"
16"She felt the familiar rhythm"
17"Her watch ticked against her"
18"She could pull back."
19"She stepped forward, her shoes"
ratio0.256
68.97% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount61
totalSentences78
matches
0"The rain hammered Soho's ancient"
1"Harlow Quinn's lungs burned as"
2"The green sign above the"
3"She'd spent three weeks building"
4"The scar on his left"
5"Her voice cut through the"
6"Herrera glanced back."
7"His eyes, warm and unreadable"
8"Quinn pushed harder, her sharp"
9"The worn leather watch on"
10"A stupid hour for a"
11"A stupider hour to be"
12"The alley spat them into"
13"Rain lashed at the black-and-white"
14"Herrera vaulted a pile of"
15"The crack echoed, but he"
16"The Camden Market entrance, long"
17"Quinn's hand found her torch."
18"She clicked it on, the"
19"Herrera's footsteps clattered down the"
ratio0.782
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences78
matches
0"Now he ran, and that"
1"Because that was what she"
2"Because Morris had gone into"
ratio0.038
83.33% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences48
technicalSentenceCount4
matches
0"His eyes, warm and unreadable in the flash of a streetlamp, held something that stalled her stride for half a heartbeat—not fear, but a weary recognition."
1"Rain lashed at the black-and-white photographs pasted to a boarded-up shopfront—faded images of a London that existed only in memory."
2"Stalls made of salvaged wood and corrugated metal lined the tracks, lit by lanterns that burned with unearthly colors—emerald, violet, a deep amber that cast no…"
3"Merchants hawked their wares in languages that her mind could almost parse, glass jars of liquids that swirled with their own internal light, bones etched with …"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
90.0506%