Run: 2026-04-27-01KQ732SWT10YFAVQ67HJN85KA

Run Details

Duration:
36.6s
Cost:
$0.003873
Provider:
AtlasCloud

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
Rain hammered the tarmac in relentless sheets. Puddles shattered under heavy boots. Harlow Quinn pushed through the downpour, shoulders squared, breath measured in steady draws. Her left wrist creaked as she adjusted her grip on the service pistol. The worn leather strap bit into her skin. She tracked a dark silhouette vaulting a chain-link fence three dozen yards ahead. The suspect hit the wet grass running, coat flapping like a torn wing. Harlow followed. She did not slow. She never slowed. Copsies echoed off brick facades. Streetlights flickered against the deluge. The suspect ducked into a narrow alley between a shuttered curry house and a boarded-up pub. Harlow rounded the corner, eyes scanning the shadows. Boots skidded on slick cobblestones. She kept her center of gravity low, moving with practiced efficiency. The alley ended at a dead wall. The suspect did not. He climbed a rusted drainpipe, fingers finding footholds that should not have held. Harlow tracked his ascent, counted the seconds, then sprinted to the base of the pipe. She gripped the metal, tested the rungs. The cold iron bit through her gloves. She pulled herself up. You lost, Detective? The voice came from above. Damp. Grinning. You lost your warrant, too. Hands where I can see them. I dropped the warrant. It washed away. The suspect dropped over the parapet. He landed in a crouch, rolling once, then shot across a courtyard littered with overflowing bins. Harlow cleared the ledge, took the fall hard. Ankles absorbed the impact. She straightened immediately. The suspect turned left, cutting toward a main thoroughfare. Neon bled through the rain. A green sign buzzed overhead. The Raven's Nest. Water streamed down its glass casing. Harlow remembered the ledger she found taped behind the bar's bookshelf. Names. Dates. Payments routed through shell companies. The clique was moving product. Heavy product. Keep moving. Stop. Now. He did not stop. He hit the crosswalk, ducked under a yellow line, and slipped through a narrow gap between a parked delivery van and a concrete pillar. Harlow followed. Tires hissed on wet asphalt. Streetlamps stretched into long, bleeding halos. The suspect reached a set of wrought-iron stairs leading down to a recessed entrance. A faded plaque read Camden Road Station Closed 1932. The air from below carried a metallic tang, thick and heavy, cutting through the petrichor. The suspect paused at the top step. He turned his head. Rain plastered his dark curls to his forehead. You know what's down there? I know you're carrying stolen contraband. I know you're moving it for people who don't leave receipts. I'm taking you in. The suspect laughed, a sharp, breathless sound. He reached into his coat. Harlow's hand tightened on her grip. The man pulled out a pale object. He held it up to the flickering light. Bone. Carved with jagged runes. He dropped it. It clattered against the concrete. The sound rang unnaturally clear, like a bell struck underwater. Prices change down there. Rules change. You bring metal, you bring heat. They burn it. You bring questions, they answer with silence. He vanished into the stairs. His footsteps faded into a low, echoing hum. Harlow reached the top of the flight. She did not step forward. She stood at the threshold, rain dripping from her closely cropped hair, tracking the sound of the falling bone token as it rolled into the dark. The air rising from the opening tasted of ozone and crushed herbs. Something sweet rot underneath. The concrete walls showed water stains that spiraled in impossible patterns. Faint blue-white light pulsed from below, casting long, jagged shadows against the damp bricks. A draft carried fragmented voices. Not the chatter of a pub. The clipped cadence of negotiations. The clink of glass against glass. A low thrum vibrated through the soles of her boots. Harlow stepped back from the edge. She checked her watch. The second hand swept past twelve. Her pulse remained steady. Three years ago, rain fell the same way. She stood at the edge of a similar drop. A riverbank. The water was black. Her partner stepped off the path without warning. The shadows moved wrong that night. They stretched, coiled, swallowed him whole. The files remained sealed. The coroner wrote water inhalation. Harlow wrote something else. She never filed it. The bone token lay at the bottom of the first landing. Pale. Wet. Undisturbed by footsteps. No one below had approached it. The hum grew louder. A voice drifted up, smooth and gravelly, speaking in a language that clipped at the consonants. Another voice answered, rapid and sharp. The sound of something heavy dragging across stone. Harlow holstered the pistol. Her fingers brushed the cold steel. She could call it in. She could radio for backup, secure the perimeter, wait for the squad car to crest the hill. Protocol demanded it. Evidence demanded it. The file on her desk demanded it. She stepped down one stair. The damp air cooled her face. The blue light intensified, painting her sharp jaw in pale relief. She caught the scent of copper and dried sage. A low ceiling followed. Iron rails. Flickering bulbs encased in wire mesh. The space opened into a cavernous chamber. Bodies moved through the gloom. Hooded figures. Tanned men in tailored suits. A woman with silver rings stacked to her elbows haggled over a glass jar containing a swirling gray vapor. A man with a Saint Christopher medallion pressed against his chest wiped blood from his left forearm with a linen rag. He looked up. His warm brown eyes locked onto hers. He did not flinch. He raised a single finger to his lips. The suspect stood near a stone pillar, hands raised, palms open. He nodded toward a shadowed archway where two figures in dark coats waited. They did not move. They watched. The air pressure dropped. Harlow's ears popped. The hum deepened into a resonant vibration that rattled her teeth. The medallion-wearer stepped backward, melting into the crowd. The suspect turned toward the archway. He mouthed a single word. Wait. Harlow planted her boots on the concrete step. Rainwater pooled around her ankles, reflecting the erratic blue glow. She weighed the options. Calling it in would stall the investigation for weeks. The clique would scatter. The ledger would vanish. Morris's case would remain a closed folder gathering dust in a basement. Following the suspect meant stepping into territory that defied every procedure she had learned in eighteen years. It meant leaving the pavement, leaving the lights, leaving the rules that kept her alive. It meant walking into the dark that took her partner. She reached into her pocket. Her fingers closed around the evidence bag containing the bone token. The plastic crinkled. She pulled it out. Held it up to the flickering light. The runes seemed to shift in the glare. She slid it back into her pocket. Her hand dropped to her side. She exhaled, slow and even. The rain above faded to a distant drumming. The chamber below grew louder. The two figures at the archway shifted their weight. The suspect's shoulders tensed. Harlow took the next step down.
created_at"2026-04-27T09:07:17.537Z" 4/27/2026, 9:07:17 AM
model"qwen/qwen3.6-35b-a3b-20260415"
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external_user(null)
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cancelledfalse
latency902
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generation_time36435
tokens_prompt1140
tokens_completion4190
native_tokens_prompt1065
native_tokens_completion3835
native_tokens_completion_images(null)
native_tokens_reasoning2255
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
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origin"https://ncbench.com/"
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finish_reason"stop"
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provider_responses
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latency902
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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)
wordCount1190
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)
36.97% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1190
totalAiIsms15
found
0
word"shattered"
count1
1
word"measured"
count1
2
word"echoed"
count1
3
word"flickered"
count1
4
word"scanning"
count1
5
word"silence"
count1
6
word"footsteps"
count2
7
word"echoing"
count1
8
word"pulsed"
count1
9
word"fragmented"
count1
10
word"vibrated"
count1
11
word"pulse"
count1
12
word"gloom"
count1
13
word"weight"
count1
highlights
0"shattered"
1"measured"
2"echoed"
3"flickered"
4"scanning"
5"silence"
6"footsteps"
7"echoing"
8"pulsed"
9"fragmented"
10"vibrated"
11"pulse"
12"gloom"
13"weight"
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
narrationSentences177
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount4
hedgeCount1
narrationSentences177
filterMatches
0"know"
1"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences177
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen26
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1190
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions1
matches
0"You bring questions, they answer with silence."
86.97% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions30
wordCount1190
uniqueNames12
maxNameDensity1.26
worstName"Harlow"
maxWindowNameDensity2
worstWindowName"Harlow"
discoveredNames
Quinn1
Detective1
Raven1
Nest1
Camden1
Road1
Station1
Closed1
Saint1
Christopher1
Harlow15
You5
persons
0"Quinn"
1"Raven"
2"Saint"
3"Christopher"
4"Harlow"
5"You"
places
0"Camden"
1"Road"
2"Station"
globalScore0.87
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences90
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1190
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences177
matches
0"wrong that night"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs23
mean51.74
std38.09
cv0.736
sampleLengths
081
1107
23
37
411
57
690
74
898
95
1021
1156
1222
1351
1473
1580
1656
1745
18124
1968
2093
2182
226
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences177
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs239
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences177
ratio0
matches(empty)
88.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1195
adjectiveStacks2
stackExamples
0"suspect turned left, cutting"
1"Faint blue-white light pulsed"
adverbCount18
adverbRatio0.01506276150627615
lyAdverbCount4
lyAdverbRatio0.0033472803347280333
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences177
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences177
mean6.72
std4.36
cv0.649
sampleLengths
07
15
213
313
48
513
613
72
84
93
105
115
1216
138
145
1511
167
174
1813
1915
207
217
224
233
245
251
261
275
286
294
303
316
3216
338
344
353
369
375
385
393
406
4111
421
431
445
455
462
472
481
491
41.81% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats21
diversityRatio0.3220338983050847
totalSentences177
uniqueOpeners57
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences158
matches(empty)
ratio0
70.63% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount59
totalSentences158
matches
0"Her left wrist creaked as"
1"She tracked a dark silhouette"
2"She did not slow."
3"She never slowed."
4"She kept her center of"
5"He climbed a rusted drainpipe,"
6"She gripped the metal, tested"
7"She pulled herself up."
8"You lost, Detective?"
9"You lost your warrant, too."
10"I dropped the warrant."
11"It washed away."
12"He landed in a crouch,"
13"She straightened immediately."
14"He did not stop."
15"He hit the crosswalk, ducked"
16"He turned his head."
17"You know what's down there?"
18"I know you're carrying stolen"
19"I know you're moving it"
ratio0.373
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount146
totalSentences158
matches
0"Puddles shattered under heavy boots."
1"Harlow Quinn pushed through the"
2"Her left wrist creaked as"
3"The worn leather strap bit"
4"She tracked a dark silhouette"
5"The suspect hit the wet"
6"She did not slow."
7"She never slowed."
8"Copsies echoed off brick facades."
9"Streetlights flickered against the deluge."
10"The suspect ducked into a"
11"Harlow rounded the corner, eyes"
12"Boots skidded on slick cobblestones."
13"She kept her center of"
14"The alley ended at a"
15"The suspect did not."
16"He climbed a rusted drainpipe,"
17"Harlow tracked his ascent, counted"
18"She gripped the metal, tested"
19"The cold iron bit through"
ratio0.924
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences158
matches(empty)
ratio0
81.63% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences35
technicalSentenceCount3
matches
0"I know you're moving it for people who don't leave receipts."
1"Following the suspect meant stepping into territory that defied every procedure she had learned in eighteen years."
2"It meant leaving the pavement, leaving the lights, leaving the rules that kept her alive."
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
83.5341%