Run: 2026-09-03-01M1KCRFJKBCGMKF8B1QKW26KK

Run Details

Duration:
1m 15s
Cost:
$0.000609
Provider:
DigitalOcean

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 London in sheets, turning the streets into black mirrors that shattered under Harlow Quinn's boots. She ran hard, breath fogging in the sodium-orange glow of the streetlamps, her worn leather watch slapping against her wrist with each stride. Thirty yards ahead, the suspect cut left through a narrow gap between a bookmaker's and a shuttered kebab shop. She'd been tracking him for three weeks. A wiry man with a lank curtain of dark hair, known in certain circles as the Ferryman. Not his real name, obviously. Nothing about this case had been obvious since the start. Quinn vaulted a tipped-over bicycle, its spokes catching the light like a frozen spiderweb. Her coat whipped behind her, soaked through, heavy. The suspect's silhouette flickered through the alley — lean, precise, knowing every dip and stumble of the pavement. He wasn't running like a man who was afraid. He was running like a man who knew exactly where he was going. "Stop. Metropolitan Police." Her voice came out clipped, military. He didn't stop. Of course he didn't stop. The alley spat them out onto Charing Cross Road. Traffic snarled at the junction, brake lights bleeding red into the puddles. The suspect didn't hesitate. He vaulted a low wall and dropped into the forecourt of a condemned church, its spire wrapped in scaffolding like a broken ribcage. Quinn followed. Her knees protested — forty-one years of chasing ghosts and dead ends had taken their toll — but the adrenaline burned clean and hot. She cleared the wall and landed in a crouch, mud splattering her shins. The church grounds opened onto a side street she knew well. The Raven's Nest. The green neon sign buzzed overhead, casting its sickly glow over the wet pavement. Silas' place. She'd never set foot inside, but she knew the file by heart. Unexplained deaths in the surrounding block. Disappearances. Witnesses who recanted under oath with fear in their eyes. The suspect glanced back at her. Just once. In that brief flash of face under the green light, Quinn saw something that made her falter mid-stride. Not fear. Not exhaustion. Calm. An unsettling, total calm — the stillness of a man who knew the next twenty minutes better than she knew the next five. He ran north. Toward Camden. Quinn pressed on, her lungs burning. The rain had eased to a miserable drizzle, the kind that soaked through every layer without mercy. The streets grew quieter the further she pushed. Old industrial buildings loomed, their windows dark, their brick slick with damp. The kind of streets you didn't walk at night unless you knew them. The suspect vanished. One moment his silhouette was there, caught in the halo of a flickering streetlight. The next, nothing. Quinn sprinted to the spot and found herself standing at a junction she didn't recognise. An old sign, rusted and pitted, pointed down a set of concrete steps toward what looked like a disused railway arch. Abandoned. Chained. A faded Transport for London roundel peeled at the edges. She heard it then. Footsteps on stairs. Echoing. Descending. Quinn pulled her torch from her coat pocket and clicked it on. The beam cut through the dark and caught the top of the suspect's head — his wet hair plastered to his skull — as he disappeared around a corner at the bottom of the stairwell. She reached the bottom and stopped. The stairwell opened into a longer corridor, brick-lined, the walls weeping with condensation. It stank of mould and diesel and something else. Something old. The air had a mineral tang, like standing at the mouth of a mine shaft. The suspect stood twenty feet ahead. He had stopped running. He stood half-turned, his face caught between shadow and the pale beam of her torch. He raised one hand and produced something small and pale from his pocket. A bone. A finger bone, by the look of it. Strung on a leather cord. He held it up to the wall, where a section of brick that looked no different from any other section of brick seemed to shimmer. The air rippled, like heat haze on a summer road. A seam appeared. Then a door — not a door that had been cut into the wall, but a door that had always been there, hidden behind the world she knew. The suspect stepped through. The seam began to close. Quinn stared at the narrowing gap. Beyond it, torchlight flickered. Voices murmured. A market, she realised. A thrum of movement, of stalls and bartering, of things that didn't belong to her world. The smell of old incense and ozone drifted through the gap. Her hand went to the radio on her shoulder. Dead. No signal down here — no reception at all, not even static. She could turn back. Call it in. Wait for backup that would take twenty minutes to find this place, if they ever found it at all. That was the smart play. Eighteen years of decorated service, and the smart play had always been the only play. The seam was almost closed. The suspect's shadow was already gone, swallowed by the amber glimmer of a world she couldn't name. Quinn thought of DS Morris. The way his hand had looked, pale and slack, when they pulled him from the Thames. The report had ruled it a drowning. Accidental. But Morris had known something. He'd been investigating the same circles she'd been treading for weeks — the circles that led to underground markets and bone tokens and doors that weren't doors. Her partner had walked into something like this. He hadn't walked back out. The seam was a hand's breadth from sealing. Quinn shoved her torch into her coat pocket and lunged forward. Her shoulder hit the shimmering edge of the doorway, and the world flipped sideways. Cold washed over her, deep and chemical, like diving into a frozen lake. She stumbled through — And landed on a stone floor, surrounded by stalls lit by lanterns of green and blue flame. She was inside the earth. Beneath Camden. Beneath everything she knew. The Ferryman stood at the far end of the market aisle, his pale face turned toward her. And for the first time that night, he smiled.
created_at"2026-09-03T10:24:16.484Z" 9/3/2026, 10:24:16 AM
model"deepseek/deepseek-v4-flash-20260731"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency464
moderation_latency(null)
generation_time74680
tokens_prompt1104
tokens_completion2447
native_tokens_prompt1003
native_tokens_completion2100
native_tokens_completion_images(null)
native_tokens_reasoning768
native_tokens_cached0
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)
usage0.000609435
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788431056-r0cZKXodyL9qI79iBZi5"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788431056-ITnFjN9VsshC4ldoryMf"
upstream_id"chatcmpl-753ece05-3378-4bdf-8bd1-12839de18172"
provider_responses
0
endpoint_id"cb029acf-a84f-4280-8103-909d269e1e5f"
id"chatcmpl-753ece05-3378-4bdf-8bd1-12839de18172"
is_byokfalse
latency464
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"DigitalOcean"
status200
total_cost0.000609435
cache_discount(null)
upstream_inference_cost0
provider_name"DigitalOcean"
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
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1037
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)
71.07% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1037
totalAiIsms6
found
0
word"shattered"
count1
1
word"flickered"
count2
2
word"loomed"
count1
3
word"footsteps"
count1
4
word"echoing"
count1
highlights
0"shattered"
1"flickered"
2"loomed"
3"footsteps"
4"echoing"
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
emotionTells2
narrationSentences110
matches
0"was afraid"
1"h with fear"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences110
filterMatches
0"watch"
hedgeMatches
0"seemed to"
1"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences112
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1047
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount1042
uniqueNames13
maxNameDensity0.96
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
London2
Harlow1
Quinn10
Ferryman2
Charing1
Cross1
Road1
Raven1
Nest1
Camden2
Transport1
Morris2
Thames1
persons
0"Harlow"
1"Quinn"
2"Ferryman"
3"Raven"
4"Morris"
places
0"London"
1"Charing"
2"Cross"
3"Road"
4"Camden"
5"Thames"
globalScore1
windowScore1
74.24% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences66
glossingSentenceCount2
matches
0"looked like a disused railway arch"
1"something like this"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.955
wordCount1047
matches
0"not a door that had been cut into the wall, but a door"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences112
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs35
mean29.91
std20.79
cv0.695
sampleLengths
060
139
262
33
414
548
639
759
86
92
1046
115
1256
133
1453
1512
169
1747
186
1939
2038
2115
2266
239
2443
2522
2646
2722
2861
2913
308
3142
3217
3311
3426
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences110
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs165
matches
0"was running"
1"was going"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount10
semicolonCount0
flaggedSentences8
totalSentences112
ratio0.071
matches
0"The suspect's silhouette flickered through the alley — lean, precise, knowing every dip and stumble of the pavement."
1"Her knees protested — forty-one years of chasing ghosts and dead ends had taken their toll — but the adrenaline burned clean and hot."
2"An unsettling, total calm — the stillness of a man who knew the next twenty minutes better than she knew the next five."
3"The beam cut through the dark and caught the top of the suspect's head — his wet hair plastered to his skull — as he disappeared around a corner at the bottom of the stairwell."
4"Then a door — not a door that had been cut into the wall, but a door that had always been there, hidden behind the world she knew."
5"No signal down here — no reception at all, not even static."
6"He'd been investigating the same circles she'd been treading for weeks — the circles that led to underground markets and bone tokens and doors that weren't doors."
7"She stumbled through —"
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount290
adjectiveStacks0
stackExamples(empty)
adverbCount7
adverbRatio0.02413793103448276
lyAdverbCount3
lyAdverbRatio0.010344827586206896
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences112
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences112
mean9.35
std7.08
cv0.757
sampleLengths
018
123
219
37
417
55
610
714
88
918
109
1113
123
136
143
155
169
1712
184
1923
202
2124
2213
2311
243
2514
262
2712
286
291
3010
316
322
3318
342
352
361
3723
383
392
406
4117
428
4312
4413
453
4614
473
4815
4921
53.57% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats15
diversityRatio0.4017857142857143
totalSentences112
uniqueOpeners45
71.68% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences93
matches
0"Of course he didn't stop."
1"Then a door — not"
ratio0.022
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount27
totalSentences93
matches
0"She ran hard, breath fogging"
1"She'd been tracking him for"
2"Her coat whipped behind her,"
3"He wasn't running like a"
4"He was running like a"
5"Her voice came out clipped,"
6"He didn't stop."
7"He vaulted a low wall"
8"Her knees protested — forty-one"
9"She cleared the wall and"
10"She'd never set foot inside,"
11"He ran north."
12"She heard it then."
13"She reached the bottom and"
14"It stank of mould and"
15"He had stopped running."
16"He stood half-turned, his face"
17"He raised one hand and"
18"He held it up to"
19"Her hand went to the"
ratio0.29
56.77% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount75
totalSentences93
matches
0"The rain hammered London in"
1"She ran hard, breath fogging"
2"She'd been tracking him for"
3"A wiry man with a"
4"Nothing about this case had"
5"Quinn vaulted a tipped-over bicycle,"
6"Her coat whipped behind her,"
7"The suspect's silhouette flickered through"
8"He wasn't running like a"
9"He was running like a"
10"Her voice came out clipped,"
11"He didn't stop."
12"The alley spat them out"
13"Traffic snarled at the junction,"
14"The suspect didn't hesitate."
15"He vaulted a low wall"
16"Her knees protested — forty-one"
17"She cleared the wall and"
18"The church grounds opened onto"
19"The Raven's Nest."
ratio0.806
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences93
matches(empty)
ratio0
51.67% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences47
technicalSentenceCount6
matches
0"The rain hammered London in sheets, turning the streets into black mirrors that shattered under Harlow Quinn's boots."
1"Witnesses who recanted under oath with fear in their eyes."
2"In that brief flash of face under the green light, Quinn saw something that made her falter mid-stride."
3"An unsettling, total calm — the stillness of a man who knew the next twenty minutes better than she knew the next five."
4"He held it up to the wall, where a section of brick that looked no different from any other section of brick seemed to shimmer."
5"He'd been investigating the same circles she'd been treading for weeks — the circles that led to underground markets and bone tokens and doors that weren't door…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
85.9672%