Run: 2026-04-27-01KQ74SRGVH0W8AA69WH5TVHMH

Run Details

Duration:
50.8s
Cost:
$0.006109
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="4412" name="Aurora Carter" aliases="Rory, Laila, Aurora, Carter, Malphora" pronouns="she/her" species="Human" storyRole="Protagonist"> <eyeColor>bright blue</eyeColor> <hair>straight shoulder-length black</hair> <height>5'6"</height> <age>25</age> <scar>small crescent-shaped scar on her left wrist from a childhood accident</scar> <description>Aurora, referred to by her friends as Rory, is cool-headed, intelligent, and known for quick out-of-the-box thinking.</description> <backstory>Born in Cardiff to an Irish barrister father (Brendan Carter) and Welsh teacher mother (Jennifer Carter née Ellis), Rory reluctantly pursued Pre-Law at Cardiff University. She fled to London at the behest of her childhood friend Eva after leaving an abusive ex named Evan. By day, Rory works part-time as a delivery person for Yu-Fei Cheung's Golden Empress restaurant. She lives in a flat above Silas' bar.</backstory> </character> <character id="4415" name="Lucien Moreau" aliases="Lucien, Luc, the Frenchman" pronouns="he/him" species="Half-Demon" storyRole="Ally"> <eyeColor>heterochromatic — one amber, one black</eyeColor> <hair>slicked-back platinum blond</hair> <height>5'11"</height> <age>32</age> <cane>ivory-handled cane that conceals a thin blade</cane> <dress>tailored charcoal suits</dress> <description>An impeccably dressed fixer and information broker in London's supernatural underworld. He speaks four languages fluently.</description> <backstory>Born in Marseille to a human mother and a demon father from the realm of Avaros.</backstory> </character> <location id="858" name="Eva's Flat" aliases="Eva's place, the flat on Brick Lane" realm="Earth"> <cat>tabby cat named Ptolemy</cat> <security>three deadbolts on the front door</security> <description>A cramped one-bedroom flat above a curry house on Brick Lane, East London. Every surface is covered with books, scrolls, and research notes.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the romance genre. Two people who parted on complicated terms are forced together again when one shows up unannounced at the other's flat. There's history between them — attraction, hurt, and things left unsaid. Write the scene from the moment the door opens. 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 deadbolt clicked. The chain rattled against the frame. The door swung inward into the damp London evening. Rain clung to the shoulders of a charcoal coat. Water dripped from the hem onto the warped floorboards. Aurora froze. Her knuckles whitened on the wood. Three years. Three years since she had slammed that same door, since she had told him she needed air, since she had vanished into the foggy streets of East London without looking back. His platinum hair slicked back, damp at the temples. Tailored suit hugging his frame. Ivory-handled cane resting against his thigh. Heterochromatic eyes fixed on her one amber, one black unblinking. He did not smile. He never smiled when he wanted something. You are letting the draft in. His voice carried a French lilt edged with London grit. She did not move. The hallway behind him smelled of cumin and wet brick. Her flat above the curry house groaned under the weight of her own life. Books stacked to the ceiling. Scrolls spilling from paper bags. Research notes scattered across the coffee table like fallen leaves. Ptolemy tabby tail flicked from behind the sofa. I changed the locks. You forgot the third deadbolt. He stepped forward anyway. She braced, hand sliding to the doorframe. The crescent scar on her left wrist caught the dim hallway light. His gaze dropped to it. Then back to her face. Lucien. She drew the name out like a warning. Like a door slamming shut. I know. He stopped just inside the threshold. The smell of ozone and expensive cologne cut through the curry fumes. I am not here to break in. I am here because you did not answer my letters. Or my calls. Or your own damn instincts. She let the door swing fully open. Not an invitation. A truce of necessity. What do you want. He tilted his head. A lock of damp platinum fell across his forehead. I stepped forward anyway. Boots left dark prints on the linoleum. I know the exact shape of your hesitation. You told me to leave. You told me I was trouble. You told me you needed space. Space did not work. Silence did not work. So here I am. The floorboards complained under his weight. She watched him navigate the labyrinth of bookshelves and stacked takeout menus. His cane tapped once against the leg of a side table. Ptolemy leapt onto the windowsill, watching with narrow green eyes. Aurora crossed her arms. The fabric of her delivery uniform shirt pulled tight across her shoulders. She had just clocked off. Grease still stained her cuff. You look like hell. I look like I am working. She pushed past him toward the kitchenette. The kettle whined in the corner. Take your shoes off. You will track mud on the Persian rug. I haven owned a Persian rug in six years. He followed her. The space shrank. Shoulders brushed. The contact sent a static jolt up her arm. She did not pull away immediately. You bought it in Marseille. You hated it. I hated what you put on it. She twisted the kettle handle. Hot water rushed into the chipped mug. Steam curled upward, fogging the air between them. And I hated how you looked at me when you thought I wasn paying attention. Like I was a puzzle you couldn’t solve. Like I was a case file. You are. He leaned against the counter, arms crossing over his chest. The movement made the charcoal fabric shift. A complicated one. But not unsolvable. She turned, mug clinking against the counter. Her fingers traced the rim of the ceramic. The scar on her wrist caught the light again. You left because my father got threatened. Because your associates started burning down safe houses. Because every time you kissed me, the city felt like it was holding its breath. Her voice dropped to a flat register. I couldn’t breathe with you in the room, Lucien. I never could. He reached out. Slowly. Palm up. Not touching her. Just waiting. And now. Now you are standing in my kitchen. In the rain. With a blade hidden in that stick and a smile you don’t deserve. She set the mug down. The sound echoed in the small space. Go home. Or don’t. But stop showing up where I work. Stop showing up where I sleep. He folded his hand. The gesture was deliberate. Controlled. I stopped where I sleep. I am here because you forgot to check the third deadbolt. I stopped because you told me to. I am standing because you opened the door. The air thickened. Curry spices and rain and the sharp, metallic tang of something unspoken hung between them. She stepped back. The counter pressed into her hips. He did not move. His eyes tracked the line of her jaw, the pulse at her throat, the dark hair falling over her shoulder. She caught the shift in his breathing. Subtle. Almost imperceptible. She knew it. She knew every rhythm of him. You think this is a game. Her voice came out rough. You think I will fold because you show up in those stupid suits and look at me like you are memorizing the shape of my silence. I memorized the shape of your silence years ago. He pushed off the counter. The cane shifted in his grip. I know the exact moment you hold your breath before you lie. I know the way your left wrist twists when you are angry. I know you drink your tea with two sugars, even though you pretend it burns your tongue. I know you still keep the Marseille keycard in your top drawer. Her breath hitched. She had not told him about the drawer. She had not told anyone. Don’t. The word fractured. Do not stand there and catalogue me like I am a receipt. I am cataloguing what I lost. He closed the distance. One step. Two. The floorboards groaned. He stopped inches away. Close enough to see the flecks of gold in his amber eye. Close enough to feel the heat radiating off his chest. I am cataloguing the reason I am standing in a damp kitchen above a curry house instead of a penthouse in Mayfair. You had a penthouse. You had a job. You had me following you down alleys while people tried to shoot us. You had me choosing between my life and your war. She shook her head. The black hair swayed. You left without a word. Without a fight. Without letting me explain why I couldn’t stay. You didn’t leave. She pushed against the counter tiles, cold against her palms. You vanished. Like always. Like the Frenchman who collects secrets and leaves bodies in his wake. He flinched. The cane tapped against the floor. Once. Twice. I sent you to Cardiff. I paid for your tickets. I told you to run. I told you to live. His jaw tightened. The muscles banded along his cheekbone. You think I didn’t burn the whole network down after you were gone. You think I didn’t tear the city apart looking for the men who threatened your father. I think you burned it down to burn yourself out. She turned away from him. The kettle whistled. Sharp. Insistent. I think you have been running ghosts for three years. I think you are here because you are tired. Not because you care. He did not argue. He never did when she was right. He never did when it mattered. Instead, he set the cane against the wall. The ivory handle clicked against the plaster. He stepped into her space again. Slow. Deliberate. No blades drawn. No secrets hidden. Just a man in a wet suit standing on another man’s floorboards. You are wrong. His voice cracked. Just once. I am here because I am exhausted. I am here because I spent three years listening to the silence you left behind. I am here because every time I close my eyes, I see you walking out that door. And I am here because I realized the war doesn’t matter when the only thing I want is the woman who hates my name. The kettle whistled again. Water spilled over the edges, hissing against the burner. Steam swallowed the space between them. He reached out. Fingers hovering just above her wrist. Not touching. Asking. She did not pull away. She let her hand fall to her side. Let her breathing match the rhythm of the rain against the window. Let the years of anger and attraction and unresolved history settle into the quiet kitchen. You can’t just walk in here. Her words came out flat. Final. You can’t just stand here and expect me to forget what you did. What you became. I don’t expect you to forget. He finally touched her. Thumb brushing the crescent scar. Light. Precise. I expect you to listen. She closed her eyes. The taste of cumin and rain and old mistakes coated her tongue. Outside, a siren wailed. The curry house below clattered pans. The flat held its breath. She opened her eyes. Looked at him. Really looked. Saw the exhaustion lining his face. Saw the amber and black eyes unblinking. Saw the man who had walked away, and the man who had walked back. Tell me.
created_at"2026-04-27T09:37:18.373Z" 4/27/2026, 9:37:18 AM
model"qwen/qwen3.6-35b-a3b-20260415"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1058
moderation_latency(null)
generation_time50674
tokens_prompt1034
tokens_completion6702
native_tokens_prompt1001
native_tokens_completion6162
native_tokens_completion_images(null)
native_tokens_reasoning4173
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"
usage0.006109231
router(null)
provider_responses
0
endpoint_id"179c6985-3a1c-48f1-a009-9f3e3e402cdd"
id"4f391f0eec764d05a5163081e0690375"
is_byokfalse
latency1058
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-1777282638-UHMzYkl7Qd1qmsQmsbIm"
session_id(null)
api_type"completions"
id"gen-1777282638-N961Ik95VEidrD8cd7Ql"
upstream_id"4f391f0eec764d05a5163081e0690375"
total_cost0.006109231
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
totalTags0
93.59% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1559
totalAiIsmAdverbs2
found
0
adverb"slowly"
count1
1
adverb"really"
count1
highlights
0"slowly"
1"really"
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)
55.10% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1559
totalAiIsms14
found
0
word"lilt"
count1
1
word"weight"
count2
2
word"flicked"
count1
3
word"silence"
count4
4
word"navigate"
count1
5
word"traced"
count1
6
word"echoed"
count1
7
word"unspoken"
count1
8
word"pulse"
count1
9
word"fractured"
count1
highlights
0"lilt"
1"weight"
2"flicked"
3"silence"
4"navigate"
5"traced"
6"echoed"
7"unspoken"
8"pulse"
9"fractured"
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
narrationSentences243
matches(empty)
42.92% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount16
hedgeCount1
narrationSentences243
filterMatches
0"know"
1"look"
2"think"
3"see"
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences243
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1559
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions47
wordCount1559
uniqueNames12
maxNameDensity1.6
worstName"You"
maxWindowNameDensity4.5
worstWindowName"You"
discoveredNames
London3
East1
French1
Persian2
Marseille2
Lucien2
Mayfair1
Frenchman1
Cardiff1
You25
Like5
Saw3
persons
0"Lucien"
1"You"
2"Like"
places
0"London"
1"East"
2"Marseille"
3"Mayfair"
4"Cardiff"
globalScore0.698
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences120
glossingSentenceCount1
matches
0"felt like it was holding its breath"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1559
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences243
matches
0"out that door"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs44
mean35.43
std24.46
cv0.69
sampleLengths
077
141
26
310
456
54
65
733
81
913
102
1143
1214
134
1461
1565
164
1731
1840
1956
2025
2173
2211
232
2452
2540
2670
2737
2873
2916
3016
3164
3255
3329
3468
3543
3658
3771
3831
3940
4028
4122
4267
432
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences243
matches
0"were gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs324
matches
0"was holding"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences243
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1560
adjectiveStacks0
stackExamples(empty)
adverbCount46
adverbRatio0.029487179487179487
lyAdverbCount6
lyAdverbRatio0.0038461538461538464
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences243
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences243
mean6.42
std4.46
cv0.695
sampleLengths
03
16
29
39
49
52
66
72
831
99
105
116
1210
134
147
156
1610
174
1810
1914
205
215
2210
238
244
255
264
277
2812
295
305
311
328
335
342
356
3612
377
3810
393
405
417
423
434
444
454
469
474
487
498
34.57% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats41
diversityRatio0.30864197530864196
totalSentences243
uniqueOpeners75
48.08% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences208
matches
0"Then back to her face."
1"Instead, he set the cane"
2"Just a man in a"
ratio0.014
2.69% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount113
totalSentences208
matches
0"Her knuckles whitened on the"
1"His platinum hair slicked back,"
2"He did not smile."
3"He never smiled when he"
4"You are letting the draft"
5"His voice carried a French"
6"She did not move."
7"Her flat above the curry"
8"I changed the locks."
9"You forgot the third deadbolt."
10"He stepped forward anyway."
11"She braced, hand sliding to"
12"His gaze dropped to it."
13"She drew the name out"
14"He stopped just inside the"
15"I am not here to"
16"I am here because you"
17"She let the door swing"
18"He tilted his head."
19"I stepped forward anyway."
ratio0.543
70.58% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount162
totalSentences208
matches
0"The deadbolt clicked."
1"The chain rattled against the"
2"The door swung inward into"
3"Rain clung to the shoulders"
4"Water dripped from the hem"
5"Her knuckles whitened on the"
6"His platinum hair slicked back,"
7"He did not smile."
8"He never smiled when he"
9"You are letting the draft"
10"His voice carried a French"
11"She did not move."
12"The hallway behind him smelled"
13"Her flat above the curry"
14"Books stacked to the ceiling."
15"Scrolls spilling from paper bags."
16"Ptolemy tabby tail flicked from"
17"I changed the locks."
18"You forgot the third deadbolt."
19"He stepped forward anyway."
ratio0.779
72.12% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences208
matches
0"Because your associates started burning"
1"Because every time you kissed"
2"Now you are standing in"
ratio0.014
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences46
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
84.5432%