Run: 2026-05-31-01KSYXASCJGG08S65GK3PE0C9E

Run Details

Duration:
38.4s
Cost:
$0.060235
Provider:
Anthropic

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 third deadbolt gave with a clack that echoed down the stairwell, and Rory pulled the door open expecting the curry house owner with another noise complaint. Lucien Moreau stood on the landing instead, one gloved hand resting on the ivory head of his cane, the other tucked into the pocket of a charcoal coat beaded with rain. "You changed the locks," he said. "You weren't supposed to know where Eva lived." "I know where everyone lives." His mismatched eyes moved past her, into the cramped warmth of the flat, where Ptolemy had stretched himself across a tower of scrolls. "May I?" Rory didn't move from the doorframe. The cat blinked at the newcomer, unimpressed, and resettled. Behind her the kettle ticked toward a boil she'd started for one. "Eva's not here." "I didn't come for Eva." The rain caught the streetlight behind him, turning the platinum of his hair to something colder. Four months. That was how long since he'd walked out of the Golden Empress kitchen with a thank-you and a debt half-paid and not one word about the thing that had happened between them in the storeroom the night before. She'd told herself she didn't replay it. She replayed it constantly. "You can't just turn up," she said. "And yet." "Lucien." "Aurora." He let her name sit there, the way he always had, like it cost more than the others' did. "It's raining, I've walked from Aldgate, and there are people who would prefer me dead crossing the same river I just crossed. I'm asking you for ten minutes and a chair." She stepped back. Not graciously. Enough. He came in slow, leaning more on the cane than he used to, and she caught it the way you catch a single wrong note in a song you know by heart. "Your leg." "A disagreement." He lowered himself into Eva's armchair and propped the cane against the bookshelf. "The other party disagreed more permanently." The kettle screamed. She killed the gas, poured one cup, hesitated, poured a second. When she set it down beside him their fingers didn't touch, and she made certain of that. "You didn't write," she said, and hated the words the instant they left her, small and exposed on the table between them. He wrapped both hands around the cup. "No." "That's it. No." "What would you have wanted it to say?" "Something." She stayed standing, arms folded, the worktop hard against her spine. "You left me a balance owed on a job and a—" She stopped. Tried again. "You left." "I'm very good at leaving." He drank. "It's the only thing I do without regret." "Don't do that." "Do what?" "The clever line. The deflection. I've watched you sell that to half of London. I'm not buying it at my friend's kitchen table." Something shifted in his face, a fracture under the polish. He set the cup down with more care than it needed. "You want honesty," he said. "Honesty is a poor currency where I come from. It depreciates the moment you spend it." "Try." The cat jumped down, wove between the chair legs, and Lucien watched it go like it was the most interesting thing in the room — anything not to look at her. "That night," he said. "In the storeroom." "We don't have to—" "You wanted to. I started it." His eyes came up, the amber and the black, and held. "I left because the people who own pieces of me notice what I value. The moment they'd seen your face beside mine, you'd have become a thing to take. Leverage. I've watched it done. I've done it." A breath. "So I made you forgettable. I made it look like a debt and a thank-you and nothing under it." Rory's arms loosened. "You decided that. For me. Without asking." "Yes." "That's not protection. That's just leaving with a better story attached." He laughed, low and without humour. "There it is. I knew you'd find the seam." She pulled the second chair out and sat, finally, close enough that his cologne reached her under the curry-house smell soaked into the walls — cedar, something darker beneath. Her pulse did the foolish thing it always did near him. "Why now," she said. "You crossed a river full of people who want you dead to sit in Eva's chair and tell me you abandoned me on purpose. That's not an apology, Lucien. So what is it." "I need your help." "Of course you do." "And." His jaw worked. "And I found that the thing I built to keep you safe was keeping you out. I didn't think those were the same wall until I was on the wrong side of it." The rain filled the silence. Ptolemy leapt onto the windowsill and pressed his nose to the glass. "You can't say things like that," she said, quieter, "and expect me to just—" "I expect nothing." He leaned forward, elbows on his knees, and the careful distance she'd built dissolved by inches. "I have spent thirty-two years arranging the affairs of other people so I never have to feel the cost of my own. You were a cost I couldn't arrange. That's the whole of it. That's the only true thing I've said in months." She looked at his hands. At the new stiffness when he flexed them. At the crescent scar on her own wrist she'd been worrying with her thumb without noticing. "What kind of help," she said. "The kind that's dangerous to give." He didn't soften it. "I won't pretend otherwise. You'd be safer if you put me back out in that rain." "And you came anyway." "I came anyway." His voice dropped. "Because I'd rather be in danger with you than safe without. That is the most reckless sentence I have ever spoken aloud, and I'd like it noted that I despise it." A laugh broke out of her before she could stop it, ragged at the edges. He smiled — the real one, the rare one, the one she'd told herself she'd imagined. "Noted," she said. She didn't reach for his hand. Not yet. But she didn't pull hers back when his fingers crossed the last of the distance and rested, light, against the scar on her wrist. "Ten minutes," she said. "You said ten minutes." "I lied," Lucien said. "I'm very good at that too."
created_at"2026-05-31T11:39:57.726Z" 5/31/2026, 11:39:57 AM
model"anthropic/claude-4.8-opus-20260528"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3366
moderation_latency(null)
generation_time38334
tokens_prompt1034
tokens_completion1645
native_tokens_prompt1467
native_tokens_completion2116
native_tokens_completion_images(null)
native_tokens_reasoning77
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"end_turn"
service_tier"default"
usage0.060235
router(null)
provider_responses
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endpoint_id"b0d3beaa-5ff7-4666-a749-b1bb2b14c916"
id"msg_01UeCSaBAHGTnnD824aVgmE6"
is_byokfalse
latency1227
model_permaslug"anthropic/claude-4.8-opus-20260528"
provider_name"Anthropic"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.16.0; linux; x64))"
http_referer(null)
request_id"req-1780227597-NzPkGjSg6Eeb2qBcJQ3k"
session_id(null)
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api_type"completions"
id"gen-1780227597-jYClljZsewptSIN4h0TS"
upstream_id"msg_01UeCSaBAHGTnnD824aVgmE6"
total_cost0.060235
cache_discount(null)
upstream_inference_cost0
provider_name"Anthropic"
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags22
adverbTagCount0
adverbTags(empty)
dialogueSentences59
tagDensity0.373
leniency0.746
rawRatio0
effectiveRatio0
90.61% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1065
totalAiIsmAdverbs2
found
0
adverb"very"
count2
highlights
0"very"
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)
81.22% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1065
totalAiIsms4
found
0
word"echoed"
count1
1
word"warmth"
count1
2
word"pulse"
count1
3
word"silence"
count1
highlights
0"echoed"
1"warmth"
2"pulse"
3"silence"
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
narrationSentences59
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences59
filterMatches
0"know"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences95
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen44
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1068
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions20
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions13
wordCount587
uniqueNames8
maxNameDensity0.51
worstName"Rory"
maxWindowNameDensity1
worstWindowName"Rory"
discoveredNames
Rory3
Moreau1
Ptolemy2
Golden1
Empress1
Eva1
Tried1
Lucien3
persons
0"Rory"
1"Moreau"
2"Ptolemy"
3"Eva"
4"Lucien"
places(empty)
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences32
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1068
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences95
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs56
mean19.07
std17.27
cv0.905
sampleLengths
027
131
26
38
430
527
63
75
867
97
102
111
1251
136
1432
152
1621
1731
1822
198
203
218
2229
2315
243
252
2623
2721
2821
291
3031
317
324
3375
3410
351
3611
3715
3840
3937
404
414
4237
4317
4414
4562
4629
476
4826
494
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences59
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs106
matches(empty)
52.63% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences3
totalSentences95
ratio0.032
matches
0"The cat jumped down, wove between the chair legs, and Lucien watched it go like it was the most interesting thing in the room — anything not to look at her."
1"She pulled the second chair out and sat, finally, close enough that his cologne reached her under the curry-house smell soaked into the walls — cedar, something darker beneath."
2"He smiled — the real one, the rare one, the one she'd told herself she'd imagined."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount549
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.030965391621129327
lyAdverbCount3
lyAdverbRatio0.00546448087431694
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences95
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences95
mean11.24
std10.28
cv0.915
sampleLengths
027
131
26
38
428
52
66
79
812
93
105
1116
122
1338
147
154
167
172
181
1920
2031
213
222
231
2432
252
2615
276
283
2911
3017
3122
327
331
343
358
3612
3713
382
392
407
418
423
432
4423
4510
4611
475
4816
491
66.32% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.4421052631578947
totalSentences95
uniqueOpeners42
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences42
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount24
totalSentences42
matches
0"His mismatched eyes moved past"
1"She'd told herself she didn't"
2"She replayed it constantly."
3"He let her name sit"
4"She stepped back."
5"He came in slow, leaning"
6"He lowered himself into Eva's"
7"She killed the gas, poured"
8"she said, and hated the"
9"He wrapped both hands around"
10"She stayed standing, arms folded,"
11"He set the cup down"
12"His eyes came up, the"
13"He laughed, low and without"
14"She pulled the second chair"
15"Her pulse did the foolish"
16"His jaw worked"
17"she said, quieter"
18"He leaned forward, elbows on"
19"She looked at his hands."
ratio0.571
19.52% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount37
totalSentences42
matches
0"The third deadbolt gave with"
1"Lucien Moreau stood on the"
2"His mismatched eyes moved past"
3"Rory didn't move from the"
4"The cat blinked at the"
5"The rain caught the streetlight"
6"That was how long since"
7"She'd told herself she didn't"
8"She replayed it constantly."
9"He let her name sit"
10"She stepped back."
11"He came in slow, leaning"
12"He lowered himself into Eva's"
13"The kettle screamed."
14"She killed the gas, poured"
15"she said, and hated the"
16"He wrapped both hands around"
17"She stayed standing, arms folded,"
18"Something shifted in his face,"
19"He set the cup down"
ratio0.881
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences42
matches(empty)
ratio0
63.49% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences18
technicalSentenceCount2
matches
0"The third deadbolt gave with a clack that echoed down the stairwell, and Rory pulled the door open expecting the curry house owner with another noise complaint."
1"That was how long since he'd walked out of the Golden Empress kitchen with a thank-you and a debt half-paid and not one word about the thing that had happened b…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags22
uselessAdditionCount1
matches
0"she said, quieter,"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags11
fancyCount0
fancyTags(empty)
dialogueSentences59
tagDensity0.186
leniency0.373
rawRatio0
effectiveRatio0
82.4598%