Run: 2026-10-08-01M4DAMAXNXCT65EGAKBC254R1

Run Details

Duration:
14.8s
Cost:
$0.001247
Provider:
Claude Platform on AWS

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
The third deadbolt took longer than the first two. Rory stood on the landing above the curry house, listening to the hiss of the extractor fan through the floorboards, and counted the clicks the way she used to count stairs in the dark. One. Two. Three. Then the chain, and the door swung inward on a slice of warm yellow light. Lucien stood in the gap with one hand on the frame. He wore shirtsleeves, the cuffs turned back twice, and a pair of reading glasses she had never seen before sat low on his nose. Behind him, the flat looked exactly as she remembered: books stacked on every chair, scrolls wedged into the bookcase like rolled-up rugs, paper drifting across the coffee table in careful, overlapping layers. Eva's chaos, preserved in amber. His eyes moved over her in one swift pass. The amber one, then the black one. Neither gave anything away, which was the most infuriating thing about him. "Aurora," he said. "Hello, Lucien." "You didn't telephone." "I didn't want you to find an excuse." "I have never once needed an excuse to refuse you." He pulled the glasses off and folded them into his breast pocket. "That is rather the problem, isn't it?" Rory's throat tightened. She had rehearsed this on the Overground, between Shoreditch and Whitechapel, and every version had started with composure. None of them had included the way the light caught his platinum hair, or the faint scent of cedar and something sharper beneath it, or the fact that he was standing in her best friend's doorway looking at her as though she were a bill he'd been expecting for months. "Eva said you'd be looking after Ptolemy," she said. "Eva said a great many things before she boarded that plane." He stepped back, just far enough. "Come in before the neighbours start charging admission." She went in. The door closed behind her, and she heard the first deadbolt slide home, then the second, then the third, slow and deliberate. Her pulse stuttered at the sound. He noticed. Of course he noticed. A tabby cat slunk out from under the sofa, took one look at her, and flowed back into hiding with an air of profound disapproval. "He's never liked you," Lucien said. "He's never liked anyone." "That's not true. He tolerates me." A faint curve touched his mouth. "Barely." She moved to the window because it gave her somewhere to put her hands. Brick Lane glittered below, wet from an earlier rain, people spilling out of the bars with their coats open. She had lived in London for two years and still found it strange that she could stand in a room this close to the street and feel so far from everything she'd left behind. "You look tired," he said quietly. "I'm fine." "You're thinner." "I've been working doubles at Golden Empress. Yu-Fei pays in dumplings and complaints." She turned around, and that was a mistake, because he was closer than she'd expected, one shoulder against the bookcase, the cane resting against his leg with its ivory handle catching the lamplight. "Why are you still here, Luc? Eva's been gone three weeks." "Eva asked me to see to her affairs. The cat. The rent. The research." He paused. "You." "I don't need minding." "No. You never did." His voice dropped. "You needed someone to stop you from walking out in the middle of a conversation and pretending it hadn't happened." The words landed squarely, the way he always aimed, and for a moment she was back in the stairwell of the old Canary Wharf building, his hand fisted against the wall, her own voice saying *I can't do this with you, not with what you are*. She had meant it. She had also meant none of it, and they had both known it, and that had been the cruellest part. "You didn't stop me," she said. "You let me go." "You asked me to." "I asked you to make it hurt less." Her voice wavered and she hated it. "You didn't do that either." He was silent. The fridge hummed. Ptolemy yowled once from somewhere under the bed. "I thought distance would be kinder," he said finally. "I was wrong about that." "You were wrong about a lot of things." "Yes." He straightened from the bookcase, and the space between them shrank to nothing but the faint sound of his breathing. "Tell me what you came here to say, Aurora. Don't make me guess." Her mouth opened. Every careful sentence she had prepared deserted her at once, and what came out instead was smaller and more honest than she wanted. "I miss the way you used to say my name," she whispered. "Like it was a secret you'd decided to keep." His amber eye darkened. The black one did not change at all, but his hand lifted, hovered near her cheek without touching, a question and a surrender at once. "Rory," he said softly, and the sound of it, in that cramped room full of paper and old promises, was almost enough to undo her entirely.
created_at"2026-10-08T08:38:42.366Z" 10/8/2026, 8:38:42 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2525
moderation_latency(null)
generation_time14741
tokens_prompt788
tokens_completion1376
native_tokens_prompt1159
native_tokens_completion2262
native_tokens_completion_images(null)
native_tokens_reasoning650
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"
usage0.0012469
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791448722-IG8s7VJtPC4wdXEcCVir"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791448722-vzYWalkuZhTEJCwRfbG6"
upstream_id"msg_011CfpU6ij51fS3wW3caAc29"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpU6ij51fS3wW3caAc29"
is_byokfalse
latency867
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.0012469
cache_discount(null)
upstream_inference_cost0
provider_name"Claude Platform on AWS"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags16
adverbTagCount5
adverbTags
0"He stepped back [back]"
1"he said quietly [quietly]"
2"She turned around [around]"
3"he said finally [finally]"
4"he said softly [softly]"
dialogueSentences36
tagDensity0.444
leniency0.889
rawRatio0.313
effectiveRatio0.278
94.15% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount854
totalAiIsmAdverbs1
found
0
adverb"softly"
count1
highlights
0"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)
82.44% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount854
totalAiIsms3
found
0
word"pulse"
count1
1
word"profound"
count1
2
word"wavered"
count1
highlights
0"pulse"
1"profound"
2"wavered"
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
narrationSentences51
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences51
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences71
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen50
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords11
totalWords854
ratio0.013
matches
0"I can't do this with you, not with what you are"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions14
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions9
wordCount630
uniqueNames8
maxNameDensity0.32
worstName"Rory"
maxWindowNameDensity1
worstWindowName"Rory"
discoveredNames
Rory2
Overground1
Shoreditch1
Whitechapel1
Lane1
London1
Canary1
Wharf1
persons
0"Rory"
places
0"Lane"
1"London"
2"Canary"
3"Wharf"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences29
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount854
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences71
matches
0"strange that she"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs36
mean23.72
std21.6
cv0.911
sampleLengths
061
172
228
33
42
53
68
729
871
99
1025
1137
1225
136
144
1513
1667
176
182
192
2057
2117
224
2327
2470
2510
264
2720
2814
2914
308
3134
3226
3321
3429
3526
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences51
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs100
matches
0"was standing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences71
ratio0
matches(empty)
86.47% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount631
adjectiveStacks0
stackExamples(empty)
adverbCount35
adverbRatio0.0554675118858954
lyAdverbCount6
lyAdverbRatio0.009508716323296355
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences71
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences71
mean12.03
std11.24
cv0.935
sampleLengths
09
134
21
31
41
515
611
724
832
95
109
117
1212
133
142
153
168
1722
187
193
2018
2150
229
2317
248
253
2622
276
282
294
3025
316
324
3312
341
3514
3619
3734
386
392
402
4146
4211
4316
441
454
467
4720
4846
494
65.26% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.4507042253521127
totalSentences71
uniqueOpeners32
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences41
matches
0"Then the chain, and the"
1"Of course he noticed."
ratio0.049
15.12% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences41
matches
0"He wore shirtsleeves, the cuffs"
1"His eyes moved over her"
2"He pulled the glasses off"
3"She had rehearsed this on"
4"He stepped back, just far"
5"She went in."
6"Her pulse stuttered at the"
7"She moved to the window"
8"She had lived in London"
9"he said quietly"
10"She turned around, and that"
11"His voice dropped"
12"She had meant it."
13"She had also meant none"
14"Her voice wavered and she"
15"He was silent."
16"he said finally"
17"He straightened from the bookcase,"
18"Her mouth opened."
19"His amber eye darkened."
ratio0.512
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount38
totalSentences41
matches
0"The third deadbolt took longer"
1"Rory stood on the landing"
2"Lucien stood in the gap"
3"He wore shirtsleeves, the cuffs"
4"Eva's chaos, preserved in amber."
5"His eyes moved over her"
6"The amber one, then the"
7"Neither gave anything away, which"
8"He pulled the glasses off"
9"Rory's throat tightened."
10"She had rehearsed this on"
11"None of them had included"
12"He stepped back, just far"
13"She went in."
14"The door closed behind her,"
15"Her pulse stuttered at the"
16"A tabby cat slunk out"
17"A faint curve touched his"
18"She moved to the window"
19"Brick Lane glittered below, wet"
ratio0.927
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences41
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences17
technicalSentenceCount1
matches
0"None of them had included the way the light caught his platinum hair, or the faint scent of cedar and something sharper beneath it, or the fact that he was stan…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags16
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount1
fancyTags
0"she whispered (whisper)"
dialogueSentences36
tagDensity0.222
leniency0.444
rawRatio0.125
effectiveRatio0.056
84.7809%