Run: 2026-03-25-01KMJ8FJ01NZQSTCW2851QDV6S

Run Details

Duration:
24.1s
Cost:
$0.001217
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
Aurora opened the door of Eva’s flat expecting to see her friend, not Lucien Moreau. He was leaning against the frame, the ever-predictable smirk on his lips as he adjusted the ivory handle of the cane at his side. The air shifted when he moved into the space. It always did. “I wasn’t invited,” he said, stepping past her before it could be made clear that he wasn’t. She shut the door quickly behind him, though she knew it was futile. He’d already taken up most of the cramped entrance hall. His tailored charcoal suit looked out of place amid the chaos of research and notes. Stacks of parchment teetered over books, but Lucien paid no mind. “You’re not in London for some noble cause,” she said. “No.” He turned to face her fully. “I’m in London because you disappeared.” “That wasn’t your problem.” His amber eye gleamed. “It became everyone’s problem.” Ptolemy meowed from the top of a desk, leaping down with claws unsheathed. It circled them like prey being stalked. Aurora folded her arms. “You know why I left.” “Do I?” She didn’t answer. There had been no parting gift of truth, only silence in the end. And now this man stood here again, back among the living after she’d sworn never to let someone like him into her life again. She wasn't even sure how long it had been since they'd last talked. Maybe six months? Longer? Lucien stepped closer, his presence pressing against her. He smelled of sandalwood and something darker—like smoke off stone. “I read your file,” he said quietly. “The one Silas shared.” Her breath caught a beat too late. “What about it?” “Your ex, Evan. That’s what all of this is really about, isn’t it?” Aurora wanted to turn away, to move to sit or to leave entirely, but she stayed rooted. “Evan isn't your concern.” “He tried to burn down an apartment building in Manchester.” His voice was low, almost reverent. “He’s connected to people I deal with. People I don’t trust anymore.” She took a sharp step back. "That's ridiculous." “It’s not.” Now he moved slowly, deliberately, closing the distance between them until her back hit a bookshelf. It creaked under her weight. “Don’t do that,” she whispered. “Not again.” He tilted his head slightly, the black eye meeting hers without flinching. “I haven’t done anything.” “You showed up. That’s something.” “You vanished from my world just like he did. And now I’m here. So maybe you should be worried about what comes next.” She swallowed hard. “What do you want from me?” He hesitated, then extended the hand with the cane. The blade was hidden still, the handle smooth and cold beneath his fingertips. But Lucien held it out like an offering. Not as a weapon, not this time. “We need to talk,” he said, keeping his voice steady. “You and me. Properly this time.” The flat felt smaller suddenly, the walls closing in. Outside, Brick Lane bustled on, unaware and unbothered by the tension coiled in the room. Aurora reached out and grasped the cane. It was heavier than she expected, solid and precise. She thought about the first time she’d seen it—how it had felt wrong in its use, like violence wrapped in velvet. Yet now, she held it like an anchor. “You’ve changed,” she murmured. “So have you.” She released the cane. He dropped it. “Then talk to me.” “I can’t promise anything.” “You don’t owe me promises.” Her thumb brushed over her wrist scar absently. “He hurt me, Lucien. Not just physically.” “I know.” “You weren’t there.” “But I would’ve been.” Their eyes locked. Nothing was said aloud, only the truth of their history hanging between them. Every word unspoken, every glance unread. All the things she’d left behind—every choice, every betrayal, every silent departure—felt like dust stirred anew by his presence. “What happens now?” she asked softly. Lucien took another cautious step. “We find out who else is pulling the strings. You and me.” She nodded, the decision made before words could finish the thought. Outside, the rain began to fall.
created_at"2026-03-25T10:26:11.59Z" 3/25/2026, 10:26:11 AM
model"qwen/qwen3-32b-04-28"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency985
moderation_latency(null)
generation_time24050
tokens_prompt1058
tokens_completion1141
native_tokens_prompt958
native_tokens_completion934
native_tokens_completion_images(null)
native_tokens_reasoning0
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"
usage0.0012166
router(null)
provider_responses
0
endpoint_id"2693bf9a-1732-4008-acc9-d241214e936c"
id"705ec19aa5f94f14be2715d888063c53"
is_byokfalse
latency985
model_permaslug"qwen/qwen3-32b-04-28"
provider_name"AtlasCloud"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1774434371-snTChUjBIuNiKzD5jfCw"
upstream_id"705ec19aa5f94f14be2715d888063c53"
total_cost0.0012166
cache_discount(null)
upstream_inference_cost0
provider_name"AtlasCloud"

Evaluation details

Result Evaluator Details Meta Data
33.33% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags9
adverbTagCount3
adverbTags
0"he said quietly [quietly]"
1"Now he moved slowly [slowly]"
2"she asked softly [softly]"
dialogueSentences36
tagDensity0.25
leniency0.5
rawRatio0.333
effectiveRatio0.167
49.20% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount689
totalAiIsmAdverbs7
found
0
adverb"quickly"
count1
1
adverb"really"
count1
2
adverb"slowly"
count1
3
adverb"deliberately"
count1
4
adverb"slightly"
count1
5
adverb"suddenly"
count1
6
adverb"softly"
count1
highlights
0"quickly"
1"really"
2"slowly"
3"deliberately"
4"slightly"
5"suddenly"
6"softly"
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)
56.46% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount689
totalAiIsms6
found
0
word"predictable"
count1
1
word"silence"
count1
2
word"weight"
count1
3
word"tension"
count1
4
word"velvet"
count1
5
word"unspoken"
count1
highlights
0"predictable"
1"silence"
2"weight"
3"tension"
4"velvet"
5"unspoken"
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
narrationSentences56
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences56
filterMatches(empty)
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences82
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen25
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords686
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
99.70% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions13
wordCount497
uniqueNames6
maxNameDensity1.01
worstName"Lucien"
maxWindowNameDensity1.5
worstWindowName"Lucien"
discoveredNames
Eva1
Lucien5
Moreau1
Brick1
Lane1
Aurora4
persons
0"Eva"
1"Lucien"
2"Moreau"
3"Aurora"
places
0"Brick"
1"Lane"
globalScore0.997
windowScore1
85.90% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences39
glossingSentenceCount1
matches
0"felt like dust stirred anew by his pres"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount686
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences82
matches
0"clear that he"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs44
mean15.59
std13.65
cv0.876
sampleLengths
015
136
217
349
410
513
64
78
820
99
102
1157
1229
137
143
1513
1621
1728
188
1923
207
2116
225
2323
249
2537
2616
2724
2845
294
303
314
327
334
345
3515
362
373
384
3941
406
4117
4211
436
86.47% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences56
matches
0"being stalked"
1"was hidden"
2"was said"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs103
matches(empty)
38.33% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences3
totalSentences82
ratio0.037
matches
0"He smelled of sandalwood and something darker—like smoke off stone."
1"She thought about the first time she’d seen it—how it had felt wrong in its use, like violence wrapped in velvet."
2"All the things she’d left behind—every choice, every betrayal, every silent departure—felt like dust stirred anew by his presence."
86.30% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount501
adjectiveStacks0
stackExamples(empty)
adverbCount26
adverbRatio0.05189620758483034
lyAdverbCount12
lyAdverbRatio0.023952095808383235
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences82
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences82
mean8.37
std5.46
cv0.653
sampleLengths
015
124
29
33
417
513
610
715
811
910
107
116
124
134
144
1513
167
174
185
192
203
2113
2224
2313
243
251
268
2710
287
294
307
313
3213
3317
344
3516
3612
376
382
3918
405
415
422
4312
444
455
4623
473
486
499
65.45% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.4146341463414634
totalSentences82
uniqueOpeners34
64.10% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences52
matches
0"Maybe six months?"
ratio0.019
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences52
matches
0"He was leaning against the"
1"It always did."
2"he said, stepping past her"
3"She shut the door quickly"
4"He’d already taken up most"
5"His tailored charcoal suit looked"
6"He turned to face her"
7"His amber eye gleamed."
8"It circled them like prey"
9"She didn’t answer."
10"She wasn't even sure how"
11"He smelled of sandalwood and"
12"he said quietly"
13"Her breath caught a beat"
14"His voice was low, almost"
15"She took a sharp step"
16"It creaked under her weight."
17"He tilted his head slightly,"
18"She swallowed hard."
19"He hesitated, then extended the"
ratio0.558
36.92% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount44
totalSentences52
matches
0"Aurora opened the door of"
1"He was leaning against the"
2"The air shifted when he"
3"It always did."
4"he said, stepping past her"
5"She shut the door quickly"
6"He’d already taken up most"
7"His tailored charcoal suit looked"
8"Stacks of parchment teetered over"
9"He turned to face her"
10"His amber eye gleamed."
11"Ptolemy meowed from the top"
12"It circled them like prey"
13"Aurora folded her arms."
14"She didn’t answer."
15"There had been no parting"
16"She wasn't even sure how"
17"Lucien stepped closer, his presence"
18"He smelled of sandalwood and"
19"he said quietly"
ratio0.846
96.15% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences52
matches
0"Now he moved slowly, deliberately,"
ratio0.019
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences19
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount0
matches(empty)
94.44% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount2
fancyTags
0"she whispered (whisper)"
1"she murmured (murmur)"
dialogueSentences36
tagDensity0.194
leniency0.389
rawRatio0.286
effectiveRatio0.111
83.0917%