Run: 2026-10-08-01M4DA9TX019AYXH7STGPEEYZM

Run Details

Duration:
14.9s
Cost:
$0.001264
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 first deadbolt gave with a dry click, then the second, then the third, and Rory stood in the narrow hallway with her hand on the chain and her heart doing something she did not give it permission to do. Nobody knocked on Eva's door at eleven at night. Eva was in Edinburgh until Sunday, and the only people who had a reason to climb the stairs above the curry house on Brick Lane were the ones who already knew about the deadbolts. Rory had been the one to tell Eva to install them. Eva had said it was overkill. Rory had said that was the point. She didn't open the chain. She looked through the gap instead. Lucien Moreau stood on the landing under the bare bulb, one gloved hand resting on the ivory head of his cane. His charcoal suit was immaculate, as if the rain outside had been too polite to touch him. Platinum hair, slicked back from a face that could have been carved for a museum. One eye was amber, one was black, and both were fixed on her with the careful stillness of a man who had rehearsed this moment and was now discovering the rehearsal had been useless. "Hello, Aurora," he said. Nobody called her that anymore. Not even her mother, who had settled on Rory years ago, and not Eva, who used Laila when she wanted to needle her. Lucien had never called her anything else. "You have a nerve," she said. "So I've been told." His accent turned the words soft at the edges. "May I come in? It is raining, and I have not been invited, and I am aware that is a difficult thing to forgive. I would still like to be inside when I say what I came to say." "No." "Rory." She hated that he could still do that with her name, drop it into the space between them like a stone into still water. She unhooked the chain. Ptolemy appeared at her ankles the moment the door swung wide, a tabby with a torn ear and the disdain of a minor aristocrat, and wound himself around her calves before stalking toward Lucien. The cat sniffed the hem of the charcoal trousers, then sat down squarely on the threshold, as if he had made a ruling. "Traitor," Rory muttered. "He has always had excellent judgment," Lucien said, and stepped carefully over the cat. The flat seemed to shrink around him. It had always been too small for two people who wanted different things, and now the books stacked on every surface, the scrolls wedged into the bookcase, the research notes pinned in careful columns along the walls, all seemed to lean in and listen. Lucien's gaze moved over it without judgment, taking inventory the way he took everything. He stopped at the kitchen table where a mug of cold tea sat beside an open grimoire, its margins crowded with her handwriting. "You're staying here," he said. It wasn't a question. "Eva's away. I'm keeping an eye on things." She folded her arms. "What do you want, Lucien?" He turned, and the amber eye caught the lamplight. "Three months ago you asked me to choose." "I know what I asked." "You asked me to choose between the contract with the Avaros envoy and walking out of Silas' bar with you. I chose the contract." His voice didn't waver, which somehow made it worse. "I told myself it was the only choice that kept you out of their reach. I told myself a great many things, most of them to keep from having to say that I was afraid of what you would become if I stayed." Rory's throat tightened. She turned away and busied herself with the kettle, because her hands needed something to do and because she didn't trust her face. "That's a very elegant way of saying you picked a deal over me." "Yes." He said it simply. "It is also true." The water began to tick and hiss in the old pot. Below them, someone was carrying crates down the back stairs of the curry house, and the smell of cumin and charred onion rose through the floorboards. "You could have called," she said. "You changed your number." A pause. "And I did not think you would answer." "You're right. I wouldn't have." "I know." He moved closer, not touching her, and she felt the heat of him at her back. "I came because the envoy has broken the terms. They are looking for you, Rory. Not for what you did at Silas', but for what you saw in the vault. Your name is on a list I was ordered to hand over." His breath was quiet. "I did not hand it over." She turned around. He was closer than she'd expected, close enough that she could see the thin silver line of old scar tissue along his jaw, close enough to remember exactly how that jaw had felt beneath her palm the last night they'd spoken. "Why would you risk that?" Lucien studied her face for a long moment, as if reading a text written in a language only he could read. "Because I have spent three months learning how to live without you," he said, "and I am very, very bad at it." Ptolemy yowled from the doorway. Neither of them looked away.
created_at"2026-10-08T08:32:58.281Z" 10/8/2026, 8:32:58 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency14642
moderation_latency(null)
generation_time14642
tokens_prompt788
tokens_completion1226
native_tokens_prompt1159
native_tokens_completion2297
native_tokens_completion_images(null)
native_tokens_reasoning709
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"
usage0.0012644
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791448378-D0onrjMGVKg1lFAemzFc"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791448378-oepkRv6UAsmnr9pdClpl"
upstream_id"msg_011CfpTfMdN9j1sEajC8ab5a"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpTfMdN9j1sEajC8ab5a"
is_byokfalse
latency762
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.0012644
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
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags12
adverbTagCount0
adverbTags(empty)
dialogueSentences27
tagDensity0.444
leniency0.889
rawRatio0
effectiveRatio0
77.78% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount900
totalAiIsmAdverbs4
found
0
adverb"carefully"
count1
1
adverb"very"
count3
highlights
0"carefully"
1"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)
100.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount900
totalAiIsms0
found(empty)
highlights(empty)
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
narrationSentences48
matches(empty)
53.57% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount3
narrationSentences48
filterMatches(empty)
hedgeMatches
0"seemed to"
1"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences61
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen46
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords900
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions18
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions25
wordCount632
uniqueNames10
maxNameDensity0.95
worstName"Rory"
maxWindowNameDensity2.5
worstWindowName"Eva"
discoveredNames
Rory6
Eva5
Edinburgh1
Sunday1
Brick1
Lane1
Moreau1
Laila1
Lucien6
Ptolemy2
persons
0"Rory"
1"Eva"
2"Moreau"
3"Laila"
4"Lucien"
5"Ptolemy"
places
0"Edinburgh"
1"Brick"
2"Lane"
globalScore1
windowScore0.833
66.67% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences30
glossingSentenceCount1
matches
0"as if reading a text written in a language only he could read"
88.89% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.111
wordCount900
matches
0"Not for what you did at Silas', but for what you saw in the vault"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences61
matches
0"hated that he"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs32
mean28.13
std26.22
cv0.932
sampleLengths
040
167
211
387
44
535
66
752
81
91
1028
1157
123
1314
1488
159
1617
1717
185
1976
2039
219
2237
236
2414
255
2670
2744
285
2921
3022
3110
90.64% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences48
matches
0"been carved"
1"were fixed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs113
matches
0"was carrying"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences61
ratio0
matches(empty)
97.62% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount632
adjectiveStacks0
stackExamples(empty)
adverbCount27
adverbRatio0.04272151898734177
lyAdverbCount6
lyAdverbRatio0.00949367088607595
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences61
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences61
mean14.75
std12.59
cv0.853
sampleLengths
040
19
234
311
46
57
65
76
821
917
1015
1134
124
135
1423
157
166
1713
1839
191
201
2124
224
2334
2423
253
2614
277
2844
2914
3023
315
324
3312
345
359
368
375
3833
3943
403
4123
4213
435
444
4511
4626
476
486
498
71.04% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.47540983606557374
totalSentences61
uniqueOpeners29
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences41
matches(empty)
ratio0
44.39% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount18
totalSentences41
matches
0"She didn't open the chain."
1"She looked through the gap"
2"His charcoal suit was immaculate,"
3"His accent turned the words"
4"She hated that he could"
5"She unhooked the chain."
6"It had always been too"
7"He stopped at the kitchen"
8"It wasn't a question."
9"She folded her arms"
10"He turned, and the amber"
11"His voice didn't waver, which"
12"She turned away and busied"
13"He said it simply"
14"He moved closer, not touching"
15"His breath was quiet"
16"She turned around."
17"He was closer than she'd"
ratio0.439
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount38
totalSentences41
matches
0"The first deadbolt gave with"
1"Nobody knocked on Eva's door"
2"Eva was in Edinburgh until"
3"Rory had been the one"
4"Eva had said it was"
5"Rory had said that was"
6"She didn't open the chain."
7"She looked through the gap"
8"Lucien Moreau stood on the"
9"His charcoal suit was immaculate,"
10"Platinum hair, slicked back from"
11"Nobody called her that anymore."
12"Lucien had never called her"
13"His accent turned the words"
14"She hated that he could"
15"She unhooked the chain."
16"Ptolemy appeared at her ankles"
17"The cat sniffed the hem"
18"Lucien said, and stepped carefully"
19"The flat seemed to shrink"
ratio0.927
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences41
matches(empty)
ratio0
67.67% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences19
technicalSentenceCount2
matches
0"One eye was amber, one was black, and both were fixed on her with the careful stillness of a man who had rehearsed this moment and was now discovering the rehea…"
1"It had always been too small for two people who wanted different things, and now the books stacked on every surface, the scrolls wedged into the bookcase, the r…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount1
fancyTags
0"Rory muttered (mutter)"
dialogueSentences27
tagDensity0.296
leniency0.593
rawRatio0.125
effectiveRatio0.074
81.3866%