Run: 2026-09-10-01M25DSA665C7M5M313HRQ0PF8

Run Details

Duration:
15.6s
Cost:
$0.001327
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 the pavement, turning the neon reflections of Soho into a thousand dancing blades of light. Detective Harlow Quinn moved through the downpour with a purpose that had nothing to do with the weather. Her worn leather jacket, dark with water, clung to her shoulders. Her eyes, brown and unblinking, stayed fixed on the figure fifty yards ahead. Tomás Herrera. Tommy to the paramedics who used to work with him. A ghost who'd been slipping through her fingers for weeks. He was fast, she’d give him that. He cut through the late-night crowd like a blade, his short, curly hair plastered to his skull. He didn’t look back. He just ran. Quinn’s lungs burned, but her stride didn’t falter. Eighteen years on the force had carved a map of the city into her bones. She knew these streets. He didn’t. He was heading for the river, a dead end if she’d ever seen one. A flash of grim satisfaction cut through the adrenaline. She closed the distance. Thirty yards. Twenty. The sound of their footfalls was lost in the hiss of rain on asphalt and the distant thrum of a night bus. He turned a corner, a sharp, desperate move. Quinn followed, her worn leather watch catching the light from a kebab shop before she plunged into the narrow alley. The smell of wet rubbish and stale grease was a physical blow. He was scrambling over a low brick wall at the far end, his movements frantic. “Police!” she shouted. The word was a formality, useless in the wind and rain. “Stop!” He dropped down on the other side and was gone. Quinn hit the wall, her hands finding purchase on the wet brick. She hauled herself up, her own breath a ragged saw in her throat. She landed in what looked like an old service yard, a dead space behind a forgotten building. There, in the centre, was a rusted iron grate, propped open. A black hole in the world. A set of narrow stone steps led down into absolute darkness. The stench that rose from it wasn’t just damp. It was something else. Old earth, ozone, and the coppery tang of something like blood. Her partner, DS Morris, had a theory about these places. The hidden ones. He’d called them the city’s ‘soft spots’. Three years ago, he’d followed a suspect into one. He never came back out. Her hand went to her hip, automatically checking for a radio that wasn’t there. There was no backup coming. There never was. Not for this. She stood at the threshold, the rain lashing her face. Every instinct she had, honed by years of police procedure and stark reality, screamed at her to call it in. Secure the perimeter. Wait for armed response. Tomás Herrera was a person of interest in the disappearance of three people. A former paramedic with a Saint Christopher medallion who’d lost his licence for ‘unauthorised treatments’. The file was thin, full of holes. The people who knew him were either terrified or lying. The same people who'd been in the Raven’s Nest the night Morris vanished. To go down was to step off the map. To enter a world where her badge meant nothing, and a sharp jaw and military precision were just a way to get your throat cut. The grate was slick and cold under her fingers. The air rising from the depths had a heartbeat, a low, humming thrum she felt in her teeth. It wasn’t the wind. It was something alive. She could wait. She could secure the site, log it as a potential hazard, and file the report. The sensible, decorated detective would do that. The one with a career. The other part of her, the part that still saw Morris’s empty desk every morning, the part that heard his voice in her dreams asking why she’d let him go in alone, that part had already made the decision. She pulled a small, heavy flashlight from her belt. Clicking it on, a single beam of light cut through the dark. It revealed steps slick with moisture, leading down, down into the unknown. Her jaw tightened. She took a breath, drawing the damp, strange air deep into her lungs. It tasted of secrets and danger. She descended. The world above vanished by the third step. The sound of the rain became a distant, muffled drum. The smell of the city—the greasy food, the exhaust fumes, the wet concrete—was replaced by something richer. The scent of damp stone, old dust, and incense. And underneath it all, that metallic tang. The steps ended in a narrow corridor, carved from the surrounding earth. The walls were lined with rough-hewn timber, braced with rusted iron. The light from her torch danced over centuries of grime. A voice, soft and sibilant, drifted from ahead. “...three drops of the tincture, and the memory will hold. But it’ll cost you. Ten years off the end.” Another voice, gruff and impatient. “Make it five. The bastard isn’t worth ten.” Quinn pressed herself against the cold wall, killing her light. The conversation continued, but she was already moving past it, drawn by a low murmur of other voices. A crowd. She emerged into a cavernous space. The abandoned Tube station was vast, its arched ceiling held up by pillars of crumbling Victorian brick. The platform was a sprawling marketplace, lit by hundreds of candles and strange, glowing stones suspended in wire cages. The air hummed with conversation, the clink of coins, the sharp scent of things that shouldn't exist. The Veil Market. A woman with a face full of tattoos was selling bottled sighs in shimmering glass spheres. A man with no eyes but a smile that was all teeth offered to trade in nightmares. A stall stacked high with human bones sold them by the handful. Quinn’s stomach clenched. This was the dark underbelly of her city. The world Morris had stumbled into. And there, at the far end of the platform, was Herrera. He wasn’t running. He was standing by a pillar, talking to a tall, gaunt man in a long coat. He handed something over. It caught the light of a nearby brazier. A small, intricately carved bone. A token. Her heart hammered against her ribs. She understood now. This wasn’t just a black market. It was a doorway. To where, she couldn’t fathom. Herrera was being given something in return. A small vial filled with a dark, viscous liquid. He clutched it like a dying man. She took a step forward. Her wet shoes squelched on the grimy platform floor. The sound was tiny, but in that charged atmosphere, it was a gunshot. Herrera’s head snapped up. His warm brown eyes met hers across the crowded market. There was no surprise. Only a profound, weary resignation. He looked at the vial in his hand, then back at her. A dozen pairs of eyes turned. The market fell silent. They weren’t human. Or not entirely. The tattooed woman’s eyes glowed. The man with the teeth smiled wider. Herrera didn’t run. He just stood there, clutching his prize. The gaunt man beside him melted into the shadows. Quinn identified herself, her voice steady despite the tremor in her hand. “Tomás Herrera. You’re under arrest.” The words felt absurd, a relic from a world she’d left behind on the steps. But they were all she had. Herrera’s face tightened. He looked down at the vial, then at her. He took a step back, not toward the exit, but toward a dark archway behind him, leading deeper into the tunnels. “You shouldn’t have followed me, Detective,” he said. His voice was quiet, but it carried. “This isn’t your world.” The words hung in the air. A warning. A truth. He turned and darted into the black maw of the tunnel. Quinn stood her ground for a heartbeat, the weight of her decision pressing down on her. The marketplace, with its monsters and its secrets, watched her. The darkness ahead, where Herrera had vanished, was absolute. She could retreat. Call it in. Officially, this place didn’t exist. But Morris had never come out. She looked at the tunnel. The darkness didn’t end. It just changed. And Harlow Quinn, with her military bearing and her broken heart, took a step forward and followed him in.
created_at"2026-09-10T10:28:32.075Z" 9/10/2026, 10:28:32 AM
model"deepseek/deepseek-v4.1-flash-20260910"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency515
moderation_latency(null)
generation_time15540
tokens_prompt1104
tokens_completion2469
native_tokens_prompt1029
native_tokens_completion2174
native_tokens_completion_images(null)
native_tokens_reasoning350
native_tokens_cached895
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"
service_tier(null)
usage0.001327185
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1789036112-YBPffu37DXOJMs4DEJxP"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1789036112-ZGLl0ya8kJ2m5dXZpltX"
upstream_id"4f2b0ed2-60e9-4d6f-a3ea-d5615aa1bfd9"
provider_responses
0
endpoint_id"fd104bc8-535a-4d31-a847-a8e402e86a02"
id"4f2b0ed2-60e9-4d6f-a3ea-d5615aa1bfd9"
is_byokfalse
latency341
model_permaslug"deepseek/deepseek-v4.1-flash-20260910"
provider_name"DeepSeek"
status200
total_cost0.001327185
cache_discount0.000131565
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences7
tagDensity0.429
leniency0.857
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1396
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)
67.77% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1396
totalAiIsms9
found
0
word"dancing"
count1
1
word"stark"
count1
2
word"depths"
count1
3
word"potential"
count1
4
word"stomach"
count1
5
word"charged"
count1
6
word"profound"
count1
7
word"maw"
count1
8
word"weight"
count1
highlights
0"dancing"
1"stark"
2"depths"
3"potential"
4"stomach"
5"charged"
6"profound"
7"maw"
8"weight"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"hung in the air"
count1
highlights
0"hung in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences152
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences152
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences157
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen39
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1394
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions34
wordCount1346
uniqueNames14
maxNameDensity0.67
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Herrera"
discoveredNames
Soho1
Harlow2
Quinn9
Herrera8
Morris5
Three1
Saint1
Christopher1
Raven1
Nest1
Tube1
Victorian1
Veil1
Market1
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Morris"
4"Saint"
5"Christopher"
6"Market"
places
0"Soho"
1"Three"
2"Raven"
globalScore1
windowScore1
98.98% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences98
glossingSentenceCount2
matches
0"looked like an old service yard, a dead s"
1"something like blood"
56.53% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords1.435
wordCount1394
matches
0"no eyes but"
1"not toward the exit, but toward a dark archway behind him, leading deeper into the tu"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences157
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs45
mean30.98
std18.48
cv0.597
sampleLengths
060
122
231
352
429
555
615
710
870
958
1025
1195
1234
1335
1430
1539
1633
1722
182
1951
2033
2127
2213
2330
2459
253
2645
2717
2849
2924
3023
3127
3235
3328
3419
3517
3621
3733
3819
3910
4011
4135
4217
4312
4419
93.72% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences152
matches
0"was lost"
1"was gone"
2"was replaced"
3"were lined"
4"being given"
8.61% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount6
totalVerbs209
matches
0"was heading"
1"was scrambling"
2"was already moving"
3"was selling"
4"wasn’t running"
5"was standing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences1
totalSentences157
ratio0.006
matches
0"The smell of the city—the greasy food, the exhaust fumes, the wet concrete—was replaced by something richer."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount417
adjectiveStacks0
stackExamples(empty)
adverbCount5
adverbRatio0.011990407673860911
lyAdverbCount1
lyAdverbRatio0.002398081534772182
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences157
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences157
mean8.88
std5.75
cv0.647
sampleLengths
018
118
211
313
42
510
610
77
817
94
103
118
1215
134
142
1514
169
174
182
191
2022
218
2220
2312
2415
253
2611
271
2810
2912
3013
3117
3211
336
3411
359
364
3711
3810
393
407
419
425
4314
445
453
463
4710
4820
493
28.98% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats33
diversityRatio0.2356687898089172
totalSentences157
uniqueOpeners37
47.28% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences141
matches
0"Only a profound, weary resignation."
1"Officially, this place didn’t exist."
ratio0.014
75.32% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount51
totalSentences141
matches
0"Her worn leather jacket, dark"
1"Her eyes, brown and unblinking,"
2"He was fast, she’d give"
3"He cut through the late-night"
4"He didn’t look back."
5"He just ran."
6"She knew these streets."
7"He was heading for the"
8"She closed the distance."
9"He turned a corner, a"
10"He was scrambling over a"
11"He dropped down on the"
12"She hauled herself up, her"
13"She landed in what looked"
14"It was something else."
15"Her partner, DS Morris, had"
16"He’d called them the city’s"
17"He never came back out."
18"Her hand went to her"
19"She stood at the threshold,"
ratio0.362
34.47% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount120
totalSentences141
matches
0"The rain hammered the pavement,"
1"Detective Harlow Quinn moved through"
2"Her worn leather jacket, dark"
3"Her eyes, brown and unblinking,"
4"Tommy to the paramedics who"
5"A ghost who'd been slipping"
6"He was fast, she’d give"
7"He cut through the late-night"
8"He didn’t look back."
9"He just ran."
10"Quinn’s lungs burned, but her"
11"She knew these streets."
12"He was heading for the"
13"A flash of grim satisfaction"
14"She closed the distance."
15"The sound of their footfalls"
16"He turned a corner, a"
17"Quinn followed, her worn leather"
18"The smell of wet rubbish"
19"He was scrambling over a"
ratio0.851
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences141
matches
0"To go down was to"
1"To enter a world where"
2"To where, she couldn’t fathom."
ratio0.021
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences60
technicalSentenceCount3
matches
0"Her hand went to her hip, automatically checking for a radio that wasn’t there."
1"The other part of her, the part that still saw Morris’s empty desk every morning, the part that heard his voice in her dreams asking why she’d let him go in alo…"
2"The air hummed with conversation, the clink of coins, the sharp scent of things that shouldn't exist."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
7.14% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"she shouted (shout)"
dialogueSentences7
tagDensity0.286
leniency0.571
rawRatio0.5
effectiveRatio0.286
83.9600%