Run: 2026-09-02-01M1HJJAFGHSSZ2J2MXPZYXGH1

Run Details

Duration:
3m 60s
Cost:
$0.008121
Provider:
Alibaba

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 door opened on Lucien Moreau with rain bright on his collar and his ivory-handled cane hooked over his arm. Aurora kept one hand on the chain. The gap showed a sliver of his shoulder, the wet wool stretched by muscle, and platinum hair that had lost its slick at the temple. “I look less expensive when water gets in.” He shifted his weight, the cane tapping once against the floor of the corridor. Ptolemy bolted between Aurora’s ankles and hissed. Lucien looked down at the tabby and his mouth made the faintest lift. “Your cat still knows me.” “He knows a thief.” “I have never been good at it.” Aurora glanced past his elbow. The curry house below had shutters down. Yellow light pooled on the stairs. The landing was empty. “How many locks?” “Three.” “You opened two.” She moved her hand to the chain. “I’m not stupid.” “No one has ever called you stupid.” Aurora studied the line where his coat met his ribs. Dark wool clung there. “Step in or go back to the landing.” He came in with a bend through his left side. The scent followed him: rain, wet wool, metal, and the low grease smell from the floor beneath. The door shut. Aurora turned the chain and the third deadbolt. Lucien moved into the room and laid the cane across the armchair. His palm pressed his ribs. “How bad?” “It has a worse look than a real complaint.” “Don’t lie to me.” He drew breath through his teeth. “Cold iron. Shallow. The flesh closed once.” Aurora dropped to her knees beside the table and cleared the books by the edge. The tea towel lay under a volume on house spirits. She took it, then grabbed the water bottle from the fridge and came back. “Show me.” Lucien looked at the towel, then at her hands. “Take the coat off.” “If you cut me again, Eva will have to explain it to her insurance.” “She won’t care.” “You know her better than she thinks.” Aurora set the towel on the table. She caught the edge of his coat and pulled it down over his shoulders. The fabric resisted, stuck to skin. He went still. Amber and black eyes fixed somewhere over her head. The smell of iron sharpened. The coat came free and she tossed it aside. She peeled back the linen of his shirt. The wound was long and black at its edge. A thin sliver of metal sat under the swollen flesh. She looked at the cane. His gaze stayed on her hand. “You need a specialist.” “You are the only person in this city who knows where they are and would not ask my name.” “Flattery won’t close the hole.” “Desperation is plainer.” Aurora took a hairpin from her hair and held it up. He watched the metal. A fast hunger moved through his face and settled. “If I work on it, you stay still.” “I can be still.” “You can be many things that won’t help tonight.” She took his hand off the table. His fingers were cold. She bent and pushed the skin with her thumb. Pain pulled his jaw tight. His other hand closed on the edge of the table until the wood creaked. Aurora braced her knee against the table leg and kept working. The sliver slid free with a wet sound. She wiped it on the towel. The wound did not close, but the black edge slowed. The half of him from Avaros seemed unable to finish the work. “You can breathe.” “I have been breathing.” “Badly.” “That is not the same.” Ptolemy jumped onto the armchair and sniffed the blood on Lucien’s shirt. The cat’s tail moved. Lucien stared at the animal. Aurora pressed the wet towel over the wound. He hissed but did not move away from her hand. She sat on the floor between his knees, one hand over the towel, the other holding his wrist. His pulse ran fast under her fingers. She kept her own wrist low and felt the crescent scar there cool in the room’s air. His free hand came up and rested near her knee. The gesture had the same restraint she had once mistaken for tenderness. “You left the key under the mat.” “I left the key where it belonged.” “That’s not what a key does.” “It was for you to leave faster than I could.” “Then you should have said that.” He looked down at the crown of her head. The rain had soaked the collar of his shirt. “I said the things I thought you needed to hear.” “You said my name like it was a problem.” “You had become one.” Aurora pulled her wrist back. His fingers closed over her sleeve. She looked at the hand, the long knuckles, the pale scar from a blade she had once watched him draw across a man’s tie without breaking skin. “Are we doing this here?” “Do what?” “Standing in my friend’s flat while you look at me like you want to explain why you are a bastard.” “I have been called worse by people I liked more.” “That doesn’t make it true.” “No.” His hand remained on her sleeve. Heat from the wound moved through the towel and into her palm. She should remove her hand, go to the kettle, go back to the books, leave him on the floor with his cane and his ruined coat. He came to this flat knowing Eva was gone. The room, the books, the smell of cumin from downstairs: he had found her there as if the flat were a map she could be read from. Aurora moved the towel and looked at the wound. The edge had stopped blackening. She pulled her hand back. “You can sit on the floor. The chair has springs and my mother would complain if I let a man bleed on it.” Lucien shifted and let his leg stretch out. His cane lay beyond reach. Aurora took it from the armchair and put it on the table. He lowered himself beside her. The floor was cold enough to reach through her jeans. He propped his arm along the table edge and let his head touch the wall. “Better?” “Ask me after you have insulted me again.” She passed him the water. His hand shook as he lifted the bottle. The glass touched her palm and the space between them filled with heat she had not planned. She kept her eyes on the wound, not the line of his throat, where rain had washed away the last neatness. “Who sent them?” “Not who. Which.” “Same answer.” “It matters to your safety.” “My safety left London with my car keys.” “It left with me too.” Aurora set the bottle down. He looked surprised by that, as if he had expected a sharper thing. “That’s not an apology.” “No.” “Then what is it?” “An admission.” He drank again and coughed once. Aurora caught his shoulder before he folded. He leaned into her. His head rested against her upper arm, and his platinum hair smelled of rain and soap from some place he used to stay. The wound pressed warm against her forearm. “You used to put yourself in front of me.” “I used to trust my reflexes.” “You used to talk.” “I used to think you liked it.” “I liked the part where it had truth.” He lifted his head. The amber eye caught the ceiling light, and the black one stayed dark. His mouth moved as if a name sat there, not hers, not Evan’s, not one of the men who had put iron in him. “Don’t ask me to pretend this is only business.” “I have never pretended it was business.” “You pretended otherwise.” “Yes.” “Are the men outside watching this door?” “They are across the street. They will read the iron from my skin if I leave.” Aurora looked at the wound, then at the deadbolts. The room shrank around the two of them, the books and tea and cat hair closing in. “You stay until the bleeding stops.” “That is not a question.” “No.” Ptolemy stepped onto his chest with the patience of a creature claiming territory. Lucien looked down at the tabby and spoke to it. “You are heavy.” The cat blinked and set one paw over the towel. Aurora took the cat by the scruff and lifted him off. Lucien’s hand closed on her wrist. Not hard. Enough to stop her. The crescent scar sat under his thumb. He looked at it, and his face lost its polished patience. “Does it still hurt?” “No.” “It hurts.” “Only when someone touches it.” His thumb moved once, light as a question, then drew back. Aurora did not move. He watched the space between them, mouth parted, eyes sharp on her face. The rain thinned outside. From the curry house below came chairs and metal, ordinary sounds inside a wall that had held them apart for months. “You came here.” “I had nowhere else.” “Lucien.” He closed his eyes and spoke with the dry control he used when he wanted her to believe he was composed. “Eva’s flat was the first name that came to me. That is not a good thing.” “No.” “Your name is the only thing I cannot fix.” Aurora looked at the wound, at the towel, at the cane by the table, and at the man she had once thought she could leave without learning whether he had chosen her or the job. The kettle sat two steps away. She had nothing to offer him but a bandage, a room, and the refusal to say she had forgotten how his silence could feel like a door closing. “Stay on the floor.” He looked at her hand on the towel, then at her face. “All right.” Aurora guided his head back against the wall. The movement was direct, and too much like the way he had once held a knife between them without cutting skin. He let her steer him, one hand braced over the wound, the other near the small crescent of pale scar on her wrist.
created_at"2026-09-02T17:27:33.219Z" 9/2/2026, 5:27:33 PM
model"qwen/qwen3.8-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency682
moderation_latency(null)
generation_time223808
tokens_prompt1004
tokens_completion17976
native_tokens_prompt1039
native_tokens_completion17240
native_tokens_completion_images(null)
native_tokens_reasoning15018
native_tokens_cached1024
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)
usage0.008121434
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788370053-bbtilKJKMEfsRqrWt6Ic"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788370053-QeHdyh1raM1qZDpvulnc"
upstream_id"chatcmpl-9c3c423d-a3a4-941b-967c-626df1a843d1"
provider_responses
0
endpoint_id"84b1e4a7-5aed-4464-818f-1994f0b4ee18"
id"chatcmpl-9c3c423d-a3a4-941b-967c-626df1a843d1"
is_byokfalse
latency682
model_permaslug"qwen/qwen3.8-flash-20260826"
provider_name"Alibaba"
status200
total_cost0.008121434
cache_discount0.000137216
upstream_inference_cost0
provider_name"Alibaba"
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)
wordCount1697
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)
85.27% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1697
totalAiIsms5
found
0
word"weight"
count1
1
word"pulse"
count1
2
word"tenderness"
count1
3
word"silence"
count1
4
word"could feel"
count1
highlights
0"weight"
1"pulse"
2"tenderness"
3"silence"
4"could feel"
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
emotionTells1
narrationSentences116
matches
0"looked surprised"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences116
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences200
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1697
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions16
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount1216
uniqueNames7
maxNameDensity1.64
worstName"Aurora"
maxWindowNameDensity3
worstWindowName"Aurora"
discoveredNames
Lucien9
Moreau1
Aurora20
Avaros1
Eva1
Evan1
Ptolemy3
persons
0"Lucien"
1"Moreau"
2"Aurora"
3"Eva"
4"Evan"
5"Ptolemy"
places(empty)
globalScore0.678
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences90
glossingSentenceCount1
matches
0"seemed unable to finish the work"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.589
wordCount1697
matches
0"not close, but the black edge slowed"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences200
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs122
mean13.91
std16.27
cv1.169
sampleLengths
020
132
28
314
420
55
64
77
822
93
101
113
127
133
147
1514
168
1755
182
199
204
216
227
2339
242
259
264
2714
283
297
3061
3130
324
3319
345
353
3624
378
384
399
4039
4147
423
434
441
455
4621
4718
4842
4922
99.21% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences116
matches
0"was gone"
1"was composed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs200
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences200
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1217
adjectiveStacks0
stackExamples(empty)
adverbCount27
adverbRatio0.02218570254724733
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences200
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences200
mean8.49
std6.07
cv0.715
sampleLengths
020
17
225
38
414
57
613
75
84
97
105
117
126
134
143
151
163
177
183
197
2010
214
228
2310
2417
253
268
2712
285
292
309
314
326
337
3415
3510
3614
372
389
394
4014
413
427
437
4414
456
463
479
485
499
47.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.25
totalSentences200
uniqueOpeners50
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences115
matches(empty)
ratio0
53.04% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount48
totalSentences115
matches
0"He shifted his weight, the"
1"She moved her hand to"
2"He came in with a"
3"His palm pressed his ribs."
4"He drew breath through his"
5"She took it, then grabbed"
6"She caught the edge of"
7"He went still."
8"She peeled back the linen"
9"She looked at the cane."
10"His gaze stayed on her"
11"He watched the metal."
12"She took his hand off"
13"His fingers were cold."
14"She bent and pushed the"
15"His other hand closed on"
16"She wiped it on the"
17"He hissed but did not"
18"She sat on the floor"
19"His pulse ran fast under"
ratio0.417
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount110
totalSentences115
matches
0"The door opened on Lucien"
1"Aurora kept one hand on"
2"The gap showed a sliver"
3"He shifted his weight, the"
4"Ptolemy bolted between Aurora’s ankles"
5"Lucien looked down at the"
6"Aurora glanced past his elbow."
7"The curry house below had"
8"The landing was empty."
9"She moved her hand to"
10"Aurora studied the line where"
11"He came in with a"
12"The scent followed him: rain,"
13"The door shut."
14"Aurora turned the chain and"
15"Lucien moved into the room"
16"His palm pressed his ribs."
17"He drew breath through his"
18"Aurora dropped to her knees"
19"The tea towel lay under"
ratio0.957
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences115
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences52
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
85.0397%