Run: 2026-02-19-01KHTXQ59DSR57EE8ETZY56XGT

Run Details

Duration:
5m 22s
Cost:
$0.009474
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 lashed against the pavement, turning the London streets into slick mirrors of neon and shadow. Detective Harlow Quinn sprinted, her boots striking the wet concrete with rhythmic precision. Breath hitched in her throat, sharp and cold. She checked the worn leather watch on her left wrist. Three minutes since the suspect vanished around the corner near Camden Lock. Her sharp jaw tightened. Water streamed down her closely cropped salt-and-pepper hair, stinging her brown eyes. She wiped her face with the back of a gloved hand and pushed forward. The suspect wore a dark coat, hood pulled low, moving with a desperation that suggested guilt. Or fear. Harlow knew the difference. She had chased enough men through these streets to read the tilt of a shoulder, the stumble of a step. She turned the corner into a narrow alleyway. Trash bins overflowed, spilling refuse into the gutters. The smell of damp cardboard and stale urine hung heavy in the air. Ahead, a rusted iron gate stood ajar. Beyond it, the entrance to an abandoned Tube station yawned like a open mouth. Graffiti covered the tiled walls, peeling in strips to reveal the white ceramic beneath. Harlow slowed her pace. Her hand drifted to the holster at her hip. She did not draw the weapon. Not yet. The air down there felt different. Heavier. Static charged the moisture, making the hair on her arms stand up. She stepped through the gate. The sound of the city faded, replaced by a low hum that vibrated in her chest. The stairs descended into darkness, but faint lights flickered below. Not electric. Something warmer. Orange. Green. Footsteps echoed from the depths. The suspect was still moving. Harlow descended. The tiles under her feet changed from grimy white to something smoother, polished like bone. The walls shifted too. The graffiti disappeared, replaced by symbols carved into the stone. They glowed faintly in the dim light. She reached the bottom of the stairs. A platform stretched out before her, but the tracks were gone. In their place stood stalls. Canopies made of woven branches and black cloth covered goods that defied logic. Jars containing swirling mist. Bundles of dried herbs that twitched when she looked at them. People moved through the market, cloaked in shadows, their faces obscured by hoods or masks. This was the Veil Market. She had heard the rumours. Whispers in the precinct about things the Metropolitan Police did not touch. Cases that vanished from the files. DS Morris had chased those rumours three years ago. He never came back. Harlow spotted the suspect near a stall draped in red velvet. He held something in his hand. A small object, white and curved. A bone token. He handed it to a figure behind the stall. The figure nodded and stepped aside, revealing a gap in the crowd. Harlow moved toward them. Her boots clicked on the platform floor. Heads turned. Eyes followed her. She felt the weight of their stares, physical pressure against her skin. The suspect saw her. He froze. Harlow stopped ten feet away. She kept her hands visible. Stop. The word clipped the air. The suspect shook his head. He backed toward the gap in the crowd. You cannot follow. The voice came from the stallkeeper. A woman, tall and thin, with skin like parchment. She held a staff topped with a crystal that pulsed with inner light. Harlow stepped closer. Her heart hammered against her ribs. She thought of Morris. The empty chair in the briefing room. The file marked Unsolved that sat on her desk. I am not asking for permission. The stallkeeper raised the staff. The light intensified. This place is not for your kind. You lack the token. You lack the sight. Harlow glanced at the gap in the crowd. Beyond it lay a tunnel, darker than the rest. The suspect stood at the threshold, one foot inside the shadow. He looked at her, then at the tunnel. He made his choice and vanished into the dark. Harlow looked at the stallkeeper. The woman's eyes were solid black. No whites. No iris. He is a suspect in a murder investigation. I have a warrant. The warrant holds no weight here. The Market moves with the moon. By morning, this station will be empty. You will find nothing but rats and rust. Harlow tightened her grip on her flashlight. The beam cut through the gloom, illuminating the dust motes dancing in the air. They moved against the current of her breath. I do not care about your rules. She took a step forward. The stallkeeper did not move. The crowd around them shifted, closing in. Shoulders brushed against Harlow's arms. Whispers circulated through the gathering. She will bring the Watchers. She carries the scent of iron and blood. Harlow ignored them. She focused on the tunnel entrance. The darkness inside seemed to writhe. It pulled at her. A memory flashed behind her eyes. Morris laughing in the pub. Morris staring at a crime scene photo, his face pale. Morris gone. If I walk through there, do I come back? The stallkeeper lowered the staff. The light dimmed. That depends on what you find. And what finds you. Harlow looked at her watch. The leather strap was damp. The hands ticked forward. Time moved differently here. She could feel it. The seconds stretched, elongated. She holstered her flashlight. Her hand rested on her badge. Metal cold against her palm. Step aside. The stallkeeper did not move. The crowd held its breath. The hum in the air grew louder, a vibration that rattled Harlow's teeth. Harlow reached into her pocket. She pulled out her badge. She held it up. The metal gleamed in the crystal light. I am Detective Harlow Quinn. Metropolitan Police. I am coming through. The stallkeeper studied the badge. She studied Harlow. The black eyes blinked slowly. The token grants entry. The will sustains it. You have the will. You do not have the token. The stallkeeper reached into the folds of her robe. She produced a small object. White. Curved. A piece of bone carved with symbols. Price? Harlow asked the question without hesitation. A memory. One you are willing to lose. Harlow thought of Morris. She thought of the case. She thought of the rain outside, washing the streets clean. Take it. The stallkeeper extended the bone token. Harlow reached out. Her fingers brushed the object. It was warm. Cold. Both at once. The stallkeeper grasped Harlow's wrist. The grip was iron. The memory of his face. The last time you saw him alive. Harlow flinched. The pain was immediate. A sharp tug behind her eyes. An image surfaced. Morris standing in the doorway of her office. Rain on his coat. He turned to leave. He never looked back. The stallkeeper released her wrist. Harlow staggered. The image faded. She could still see Morris in her mind, but the detail was gone. The sound of his voice. The colour of his tie. Gone. Harlow straightened. She held the bone token. It felt heavy in her hand. She looked at the tunnel. The darkness waited. She stepped forward. The crowd parted. The stallkeeper raised the staff. The light flared one last time, then died. Harlow walked into the tunnel. The air grew colder. The sound of the market faded behind her. She clicked on her flashlight. The beam revealed walls covered in writing. Names. Dates. She kept walking. The token burned in her palm. She did not look back. The decision was made. The path was set. She moved deeper into the dark, her boots striking the ground with steady, military precision.
created_at"2026-02-19T12:24:10.802Z" 2/19/2026, 12:24:10 PM
model"qwen/qwen3.5-397b-a17b-20260216"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2843
moderation_latency(null)
generation_time322163
tokens_prompt1140
tokens_completion9052
native_tokens_prompt1065
native_tokens_completion9314
native_tokens_completion_images(null)
native_tokens_reasoning7104
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.00947375
router(null)
provider_responses
0
endpoint_id"ca5088a7-9042-417b-bdd4-4c1fdc8f16ee"
id"578a7285975c4e588ef7f66a658efc45"
is_byokfalse
latency2841
model_permaslug"qwen/qwen3.5-397b-a17b-20260216"
provider_name"AtlasCloud"
status200
api_type"completions"
id"gen-1771503850-J2UTd16j1XF8bbbiIfav"
upstream_id"578a7285975c4e588ef7f66a658efc45"
total_cost0.00947375
cache_discount(null)
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provider_name"AtlasCloud"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
96.09% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1279
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"slowly"
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)
33.54% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1279
totalAiIsms17
found
0
word"rhythmic"
count1
1
word"charged"
count1
2
word"vibrated"
count1
3
word"flickered"
count1
4
word"electric"
count1
5
word"footsteps"
count1
6
word"echoed"
count1
7
word"depths"
count1
8
word"velvet"
count1
9
word"weight"
count2
10
word"crystal"
count2
11
word"pulsed"
count1
12
word"gloom"
count1
13
word"dancing"
count1
14
word"could feel"
count1
highlights
0"rhythmic"
1"charged"
2"vibrated"
3"flickered"
4"electric"
5"footsteps"
6"echoed"
7"depths"
8"velvet"
9"weight"
10"crystal"
11"pulsed"
12"gloom"
13"dancing"
14"could feel"
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 heavy in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences212
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences212
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences212
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen20
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1277
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions57
wordCount1277
uniqueNames15
maxNameDensity2.04
worstName"Harlow"
maxWindowNameDensity4.5
worstWindowName"Harlow"
discoveredNames
London1
Harlow26
Quinn2
Camden1
Lock1
Tube1
Veil1
Market2
Metropolitan2
Police2
Morris8
Unsolved1
Watchers1
Detective2
You6
persons
0"Harlow"
1"Quinn"
2"Market"
3"Police"
4"Morris"
5"You"
places
0"London"
1"Camden"
globalScore0.482
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences91
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1277
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences212
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs58
mean22.02
std17.07
cv0.775
sampleLengths
059
172
264
340
437
510
638
766
841
947
1028
116
1210
131
1418
153
1628
1729
186
198
2015
2145
2215
2312
2427
2529
267
2727
285
298
3042
319
328
3310
3426
3515
362
3723
3821
3911
4013
4118
4223
431
446
458
4619
472
4821
499
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences212
matches
0"were gone"
1"was gone"
2"was made"
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
totalSentences212
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1279
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.012509773260359656
lyAdverbCount4
lyAdverbRatio0.003127443315089914
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences212
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences212
mean6.02
std3.57
cv0.593
sampleLengths
016
113
28
310
412
54
612
714
816
92
104
1120
128
138
1413
157
1614
1714
184
199
206
212
226
231
2412
255
2616
2710
282
292
301
311
325
335
342
3515
364
3710
387
397
4011
415
4213
434
4411
4515
465
475
4812
496
33.96% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats34
diversityRatio0.28773584905660377
totalSentences212
uniqueOpeners61
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences184
matches(empty)
ratio0
83.04% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount63
totalSentences184
matches
0"She checked the worn leather"
1"Her sharp jaw tightened."
2"She wiped her face with"
3"She had chased enough men"
4"She turned the corner into"
5"Her hand drifted to the"
6"She did not draw the"
7"She stepped through the gate."
8"They glowed faintly in the"
9"She reached the bottom of"
10"She had heard the rumours."
11"He never came back."
12"He held something in his"
13"He handed it to a"
14"Her boots clicked on the"
15"She felt the weight of"
16"She kept her hands visible."
17"He backed toward the gap"
18"You cannot follow."
19"She held a staff topped"
ratio0.342
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount173
totalSentences184
matches
0"Rain lashed against the pavement,"
1"Detective Harlow Quinn sprinted, her"
2"Breath hitched in her throat,"
3"She checked the worn leather"
4"Her sharp jaw tightened."
5"Water streamed down her closely"
6"She wiped her face with"
7"The suspect wore a dark"
8"Harlow knew the difference."
9"She had chased enough men"
10"She turned the corner into"
11"Trash bins overflowed, spilling refuse"
12"The smell of damp cardboard"
13"Graffiti covered the tiled walls,"
14"Harlow slowed her pace."
15"Her hand drifted to the"
16"She did not draw the"
17"The air down there felt"
18"Static charged the moisture, making"
19"She stepped through the gate."
ratio0.94
27.17% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences184
matches
0"If I walk through there,"
ratio0.005
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences32
technicalSentenceCount0
matches(empty)
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
83.0160%