Run: 2026-04-27-01KQ73DF4GAJBDJ5WK7JR2NR4H

Run Details

Duration:
50.1s
Cost:
$0.006361
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 asphalt of Camden High Street, turning fractured streetlights into smeared halos. Detective Harlow Quinn matched her stride to the drumming water, boots splashing through deep puddles that swallowed the echo of her pursuit. She kept her left hand low, fingers resting against the worn leather strap of her watch. The metal ticked in time with her pulse. Fourteen minutes into the foot. Her lungs burned, but the tight coil in her shoulders refused to snap. She moved with military precision, cutting through the late-night crowd like a blade through wet paper. The suspect darted past a flickering lamppost, shoulders hunched beneath a sodden canvas jacket. He navigated the obstacles with practiced efficiency, weaving through alleyways and narrow footpaths with the familiarity of someone who knew which doors stayed unlocked. Quinn didn’t break step. She pivoted around a parked delivery van, salt-and-pepper hair plastered to her temples, brown eyes locked on the retreating silhouette. “Hold it!” she barked, voice cutting through the downpour. “Metropolitan Police. Stop.” The man didn’t glance back. He vaulted a low brick wall, boots finding purchase on slick ivy, and disappeared into a recessed doorway marked by a rusted iron grate. Quinn reached the wall a second later. She hauled herself over, gravel scraping against her palms, and dropped into the narrow alley behind the building. The air shifted instantly. The drumming rain faded into a hollow echo. She pulled a torch from her coat, clicked it on, and aimed the beam downward. Concrete steps spiraled into darkness, the edges worn smooth by decades of forgotten footsteps. A faded sign hung crookedly above the descent: PLATFORM 4. BOMBSIDE. She descended. Each step carried her deeper into the city’s skeletal structure. The damp air clung to her trench coat. She traced the outline of a photograph tucked inside her wallet, hidden against her ribs. Morris’s face stared back, frozen in a moment of laughter that belonged to a different life. Three years. Eighteen months of paperwork, dead ends, and quiet nights where the city felt too large for one person to patrol. She hadn’t come this far for a paper trail. The stairs ended at a set of double doors, wood swollen with moisture, hinges rusted shut. Except they weren’t shut. A sliver of yellow light bled through the crack. Quinn pressed her ear against the damp wood. Muffled voices. The clink of glass. A low, rhythmic thrum that vibrated in her teeth. She pushed. The doors groaned open. Heat washed over her, thick with the scent of ozone, dried herbs, and something metallic. The abandoned platform stretched into a cavernous space, ceiling vaulted with cracked tiles and exposed piping. Shacks and stalls lined the tracks, draped in faded canvas and strung with Edison bulbs that cast long, wavering shadows. People moved through the aisles, faces half-hidden by hoods and shadows, exchanging items in hushed tones. Quinn’s boots echoed too loudly on the concrete. Every head turned. Tomás Herrera stood near a stall draped in heavy velvet, fingers drumming against a small, carved object. He finally looked up. His eyes caught the light, warm brown and entirely unafraid. Olive skin gleamed under the damp streetlamp reflection he had carried in. A silver chain glinted beneath his collar. A Saint Christopher medallion, tarnished and warm against his skin. “You lost, Detective?” he asked. Quinn didn’t lower her torch. “You’re under arrest for obstruction, evasion, and possessing contraband.” She stepped fully into the corridor, shoulders squared, posture rigid despite the damp. “What are you doing down here?” “Working.” He tapped the carved object against his palm. A bone token, etched with jagged runes. “Same as everyone else. You shouldn’t be here.” “I work where the evidence takes me.” Quinn closed the distance, stopping three paces from the stall. Her eyes tracked the items on the table: vials of iridescent liquid, wrapped parcels tied with copper wire, a stack of leather-bound ledgers. “This is an illegal market. Unregistered trade. Structured violence waiting to happen.” “Illegal?” A dry chuckle escaped him. “You think the Crown knows about every shadow in this city? You think a badge gives you jurisdiction here?” He leaned forward, resting his forearms on the table. A scar ran along his left forearm, pale against the olive skin, evidence of a blade that hadn’t missed. “You’re chasing ghosts, Quinn. Just like you did with Morris.” Quinn’s jaw tightened. The torch beam dipped a fraction. “Don’t say his name.” “You came here looking for answers. I’m giving you a mirror.” He gestured to the stalls beyond. “Look around. Enchanted wards. Banned alchemical substances. Information that keeps the city from tearing itself apart. You want to shut this place down? Fine. But you’ll lose the thread. You’ll lose everything you’ve spent eighteen months chasing.” Quinn kept her gaze locked on his. The rain still drummed faintly above, muffled by concrete and distance. Her hand hovered near her belt, fingers twitching toward her service weapon. “This isn’t a negotiation.” “It’s a threshold.” He slid the bone token across the table. It stopped just short of her boots. “You follow me, or you walk away. But you don’t get to pretend this is a normal street chase anymore.” Quinn exhaled, slow and measured. The air tasted of copper and old stone. She glanced past him, deeper into the market. Figures lingered near a central crosswalk of tracks, watching. One of them carried a staff wrapped in braided leather. Another adjusted a leather apron stained with dark, unfamiliar residues. The thrumming sound grew louder, resonating through the soles of her boots. This wasn’t a crime scene. It was a living organism. She looked back at the token. Then at the man. His expression didn’t shift. He knew she’d feel it. The weight of the unknown pressing against her ribs. The ghost of Morris standing between her and the next step. “I don’t follow leads blindly,” Quinn said. “Then follow the money.” He nodded toward a stall further down, where a cluster of people exchanged heavy, lead-lined bags. “Follow the whispers. Or close your eyes and walk back up those stairs like a good soldier.” Quinn’s fingers brushed the worn leather of her watch. The second hand swept past twelve. She didn’t move. Her boots stayed planted on the damp concrete. The market breathed around her, waiting. She stepped forward. One boot. Then the other. The threshold remained unbroken. She didn’t cross it.
created_at"2026-04-27T09:13:06.968Z" 4/27/2026, 9:13:06 AM
model"qwen/qwen3.6-35b-a3b-20260415"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1123
moderation_latency(null)
generation_time50043
tokens_prompt1140
tokens_completion7440
native_tokens_prompt1065
native_tokens_completion6412
native_tokens_completion_images(null)
native_tokens_reasoning4961
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"
usage0.006360861
router(null)
provider_responses
0
endpoint_id"179c6985-3a1c-48f1-a009-9f3e3e402cdd"
id"0daed137af0948da9e21088c270e201b"
is_byokfalse
latency1123
model_permaslug"qwen/qwen3.6-35b-a3b-20260415"
provider_name"AtlasCloud"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777281186-RtaMg0yfKphae6vr7lDL"
session_id(null)
api_type"completions"
id"gen-1777281186-Huw613xa36oC5CJT9UCh"
upstream_id"0daed137af0948da9e21088c270e201b"
total_cost0.006360861
cache_discount(null)
upstream_inference_cost0
provider_name"AtlasCloud"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags11
adverbTagCount1
adverbTags
0"She stepped fully [fully]"
dialogueSentences21
tagDensity0.524
leniency1
rawRatio0.091
effectiveRatio0.091
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1071
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)
25.30% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1071
totalAiIsms16
found
0
word"fractured"
count1
1
word"echo"
count2
2
word"pulse"
count1
3
word"navigated"
count1
4
word"footsteps"
count1
5
word"structure"
count1
6
word"traced"
count1
7
word"rhythmic"
count1
8
word"vibrated"
count1
9
word"wavering"
count1
10
word"echoed"
count1
11
word"velvet"
count1
12
word"etched"
count1
13
word"measured"
count1
14
word"weight"
count1
highlights
0"fractured"
1"echo"
2"pulse"
3"navigated"
4"footsteps"
5"structure"
6"traced"
7"rhythmic"
8"vibrated"
9"wavering"
10"echoed"
11"velvet"
12"etched"
13"measured"
14"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
narrationSentences96
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences96
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences106
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen37
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1071
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
82.20% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions22
wordCount885
uniqueNames10
maxNameDensity1.36
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Camden1
High1
Street1
Harlow1
Quinn12
Edison1
Herrera1
Saint1
Christopher1
Morris2
persons
0"Harlow"
1"Quinn"
2"Edison"
3"Herrera"
4"Saint"
5"Christopher"
6"Morris"
places
0"Camden"
1"High"
2"Street"
globalScore0.822
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences65
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1071
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences106
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs24
mean44.63
std25.35
cv0.568
sampleLengths
094
162
212
329
477
582
652
76
878
960
105
1133
1224
1352
1463
1513
1654
1734
1838
1972
2039
217
2237
2348
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences96
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs154
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences106
ratio0
matches(empty)
88.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount891
adjectiveStacks2
stackExamples
0"unknown pressing against her"
1"heavy, lead-lined bags."
adverbCount20
adverbRatio0.02244668911335578
lyAdverbCount7
lyAdverbRatio0.007856341189674524
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences106
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences106
mean10.1
std6.61
cv0.654
sampleLengths
014
122
216
38
45
513
616
714
824
94
1020
119
123
135
1424
157
1618
174
188
1915
2014
2110
221
232
2410
258
2615
2716
282
2920
309
3116
324
339
348
352
364
379
382
394
4015
4116
4220
4316
448
453
4617
474
4810
4912
60.69% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.3867924528301887
totalSentences106
uniqueOpeners41
75.76% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences88
matches
0"Then at the man."
1"Then the other."
ratio0.023
79.09% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount31
totalSentences88
matches
0"She kept her left hand"
1"Her lungs burned, but the"
2"She moved with military precision,"
3"He navigated the obstacles with"
4"She pivoted around a parked"
5"she barked, voice cutting through"
6"He vaulted a low brick"
7"She hauled herself over, gravel"
8"She pulled a torch from"
9"She traced the outline of"
10"She hadn’t come this far"
11"He finally looked up."
12"His eyes caught the light,"
13"She stepped fully into the"
14"He tapped the carved object"
15"Her eyes tracked the items"
16"He leaned forward, resting his"
17"He gestured to the stalls"
18"Her hand hovered near her"
19"He slid the bone token"
ratio0.352
11.14% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount79
totalSentences88
matches
0"Detective Harlow Quinn matched her"
1"She kept her left hand"
2"The metal ticked in time"
3"Her lungs burned, but the"
4"She moved with military precision,"
5"The suspect darted past a"
6"He navigated the obstacles with"
7"Quinn didn’t break step."
8"She pivoted around a parked"
9"she barked, voice cutting through"
10"The man didn’t glance back."
11"He vaulted a low brick"
12"Quinn reached the wall a"
13"She hauled herself over, gravel"
14"The air shifted instantly."
15"The drumming rain faded into"
16"She pulled a torch from"
17"A faded sign hung crookedly"
18"Each step carried her deeper"
19"The damp air clung to"
ratio0.898
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences88
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences34
technicalSentenceCount2
matches
0"Detective Harlow Quinn matched her stride to the drumming water, boots splashing through deep puddles that swallowed the echo of her pursuit."
1"He navigated the obstacles with practiced efficiency, weaving through alleyways and narrow footpaths with the familiarity of someone who knew which doors stayed…"
79.55% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount1
matches
0"she barked, voice cutting through the downpour"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"she barked (bark)"
dialogueSentences21
tagDensity0.143
leniency0.286
rawRatio0.333
effectiveRatio0.095
86.7243%