Run: 2026-07-25-01KYCPVD93TTEY7T3171FD4Y0J

Run Details

Duration:
43.6s
Cost:
$0.068010
Provider:
Amazon Bedrock

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
Three deadbolts. Rory drew them back one at a time, and by the second she already knew, because nobody else in London knocked like that — twice, unhurried, the sound of a man who had never once wondered whether he'd be let in. She opened the door anyway. Lucien stood on the landing with rain darkening the shoulders of his charcoal suit, ivory cane hooked over his forearm, and the curry house smell rising up the stairwell behind him like a fog. His amber eye caught the hall light. The black one didn't catch anything at all. "You've changed the locks." "I've changed a lot of things." She kept her hand on the door frame. "Eva's not here." "I'm aware. She's in Prague until Thursday. She left a very detailed voicemail with a woman named Marguerite who does not exist." He tilted his head. "You're going to make me stand in the corridor." "I'm considering it." "It's a fine corridor. Excellent notes of cumin." He didn't move. Water slid off the brim of nothing — he never wore a hat, and somehow the rain still seemed like a personal insult to him. "May I come in, Aurora?" Nobody used her full name. Her mother, when furious. Her father, in courtrooms he'd taken her to as a child. And this man, always, deliberately, like he was setting something down on a table between them. She stepped back. He came in the way he did everything, without apparent effort, and Ptolemy immediately abandoned the radiator to wind between his ankles. Traitor. Lucien crouched, set two fingers under the tabby's chin, and scratched. "He remembers me." "He's a cat. He remembers whoever fed him last." "I fed him salmon in February." Lucien straightened. He looked around the flat — the towers of books, the scrolls weighted down with mugs, the wall where Eva had pinned up seventeen photographs and connected them with red thread like a woman losing her mind in a very organised way. "She's gotten worse." "She's gotten thorough." "They're the same illness with different marketing." He set his cane against the arm of the sofa. Took off his jacket. Draped it over the back of a chair with a care he'd never once shown a person. "You didn't answer any of them." "Any of what?" "Don't." He said it without heat, which was worse. "Eleven messages. Two letters. One of them handwritten, which I want you to understand cost me something." Rory folded her arms. Behind her, the kettle she'd put on before he knocked began its low climb toward boiling, and she was grateful for it, for the noise, for something in the room with an ending she could predict. "Tea?" "Aurora." "I've got Earl Grey and something Eva bought that smells like a hedge." "I'll take the hedge." He sat down on the arm of the sofa, which she hated, because it meant he was staying and also that he was pretending he wasn't. "You left Southwark at four in the morning without a word. I found the key on the sill." "You found the key where I said I'd leave it." "You said a great many things that night." A pause, exactly long enough. "Some of them to me." The kettle clicked. She turned away and made two mugs she didn't want, and her hands were steady, which she noted with some satisfaction, because in March they hadn't been. In March she'd sat on the edge of his bathtub at three in the morning with her knuckles split and his blood on her shirt and shaken like a struck bell while he talked to her in French, low and unbroken, none of which she'd understood and all of which she'd needed. She brought him the hedge tea. He took it without looking at it. "You could have told me you were leaving," he said. "You'd have talked me out of it." "Yes." No hesitation. That was the thing about Lucien — he never bothered to lie about the shape of himself. "I'd have been good at it, too. I'd have found the one sentence and I'd have used it and you'd still be in that flat and you'd have hated me by June." "So I saved us both the trouble." "You saved yourself the trouble." He drank. Grimaced. Set the mug down on a copy of something in Aramaic. "That is a hedge." "I did warn you." "You warned me about the tea." He stood. He was shorter than people expected — five foot eleven and somehow always the tallest thing in a room — and now he was close enough that she could smell rain and cedar and the faint sulphur that clung to him no matter what he wore. "You didn't warn me about anything else. You let me put you back together and then you left before I could ask you for anything, because you'd decided in advance what I'd ask for." "That's not—" "What did you think I wanted, Aurora?" She looked at his mouth because she couldn't look at his eyes, and then she looked at his eyes because looking at his mouth was a mistake. "I thought," she said, "that you were the first person in two years who'd been kind to me for no reason. And I thought if I stayed I'd find out the reason." Something moved across his face. Fast, and gone. "Ah." "Don't do that." "Do what?" "That. The *ah.* Like you've finally got the last figure in a ledger." "I'm not keeping a ledger." He reached out — she watched him decide to, watched him overrule himself and do it anyway — and turned her left hand over. His thumb found the crescent scar on her wrist, the one she'd got at seven falling off a wall in Roath Park, and he held it there like it was evidence. "I've asked you nothing," he said. "In nine months. Not one thing. You've had my flat, my contacts, my blood on your shirt, and I have asked you for *nothing*, and you decided that meant a debt was accruing. Because that's what everyone else did." His voice didn't rise. It never rose. "Because Evan taught you the interest rate." "Don't say his name in Eva's flat." "Then don't put me in a room with him." His grip loosened, but he didn't let go. "I am a great many bad things. I have taken money from people who should not have had money and given them names that should not have been given. But I have never once in my life been kind to a woman for no reason, so you were right about that, and you were wrong about the reason." The rain leaned on the window. Downstairs, someone dropped a pan and swore in Bengali. "Say it, then," Rory said. "Non." "You came all the way to Brick Lane in the rain—" "I came all the way to Brick Lane in the rain because Eva went to Prague and left you alone in a flat with three deadbolts and seventeen photographs, and because there is a man asking about you in Camden who I would very much like to speak with first." He released her wrist. Stepped back one pace, precisely one, and she felt the air move into the space. "That is why I came. What I want, I'll tell you when you're not standing there braced for it." "I'm not braced." "You've had your arms crossed since I walked in." He picked up his jacket, and for one horrible second she thought he was leaving, and the size of that feeling frightened her more than anything he'd said. Then he simply folded it over his arm and sat down properly in the chair, cane across his knees, settled in like a man who intended to be there at dawn. "Sit down, Aurora. Drink your own tea. Tell me about the locks." She stood in the middle of Eva's ruined living room with a mug going cold in her hand. Then she sat.
created_at"2026-07-25T13:18:51.688Z" 7/25/2026, 1:18:51 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1249
moderation_latency(null)
generation_time43517
tokens_prompt1004
tokens_completion1847
native_tokens_prompt1467
native_tokens_completion2427
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)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"end_turn"
service_tier"default"
usage0.06801
router(null)
provider_responses
0
endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNqo8wcxPyrFzgXoDomE"
is_byokfalse
latency1249
model_permaslug"anthropic/claude-opus-5-20260723"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1784985531-n0GlwuTWxWDON53fwUuS"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784985531-axcHosaNrKHS3cimD9a8"
upstream_id"msg_011CdNqo8wcxPyrFzgXoDomE"
total_cost0.06801
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags18
adverbTagCount0
adverbTags(empty)
dialogueSentences58
tagDensity0.31
leniency0.621
rawRatio0
effectiveRatio0
81.34% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1340
totalAiIsmAdverbs5
found
0
adverb"very"
count3
1
adverb"deliberately"
count1
2
adverb"precisely"
count1
highlights
0"very"
1"deliberately"
2"precisely"
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)
wordCount1340
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
emotionTells1
narrationSentences60
matches
0"was grateful"
95.24% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences60
filterMatches
0"decide"
hedgeMatches
0"tended to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences98
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen58
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords2
totalWords1348
ratio0.001
matches
0"ah."
1"nothing"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions18
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions22
wordCount767
uniqueNames15
maxNameDensity0.52
worstName"Lucien"
maxWindowNameDensity1.5
worstWindowName"Lucien"
discoveredNames
London1
Water1
Ptolemy1
Eva2
Took1
Rory3
March2
French1
Lucien4
Grimaced1
Aramaic1
Roath1
Park1
Bengali1
Stepped1
persons
0"Water"
1"Ptolemy"
2"Eva"
3"Took"
4"Rory"
5"Lucien"
places
0"London"
1"March"
2"French"
3"Aramaic"
4"Roath"
5"Park"
6"Bengali"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences33
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1348
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences98
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs56
mean24.07
std25.1
cv1.043
sampleLengths
043
15
249
34
417
535
63
741
836
93
1034
113
129
1353
143
1544
163
1726
1840
191
201
2113
2248
2310
2418
2582
2613
2710
287
2952
307
3123
324
3388
342
357
3627
3732
388
391
403
412
4213
4360
4459
457
4675
4715
485
491
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences60
matches(empty)
6.76% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs138
matches
0"was setting"
1"was staying"
2"was pretending"
3"was leaving"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences6
totalSentences98
ratio0.061
matches
0"Rory drew them back one at a time, and by the second she already knew, because nobody else in London knocked like that — twice, unhurried, the sound of a man who had never once wondered whether he'd be let in."
1"Water slid off the brim of nothing — he never wore a hat, and somehow the rain still seemed like a personal insult to him."
2"He looked around the flat — the towers of books, the scrolls weighted down with mugs, the wall where Eva had pinned up seventeen photographs and connected them with red thread like a woman losing her mind in a very organised way."
3"That was the thing about Lucien — he never bothered to lie about the shape of himself."
4"He was shorter than people expected — five foot eleven and somehow always the tallest thing in a room — and now he was close enough that she could smell rain and cedar and the faint sulphur that clung to him no matter what he wore."
5"\"I'm not keeping a ledger.\" He reached out — she watched him decide to, watched him overrule himself and do it anyway — and turned her left hand over."
96.96% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount759
adjectiveStacks0
stackExamples(empty)
adverbCount33
adverbRatio0.043478260869565216
lyAdverbCount6
lyAdverbRatio0.007905138339920948
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences98
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences98
mean13.76
std13.48
cv0.98
sampleLengths
02
141
25
334
47
58
64
714
83
926
109
113
1211
1325
145
155
164
1711
1816
193
2022
211
2211
233
249
258
2642
273
283
2917
304
3117
326
333
349
3517
364
3736
381
391
4013
4130
4218
4310
4413
455
463
4727
4852
496
69.39% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.45918367346938777
totalSentences98
uniqueOpeners45
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences49
matches
0"Then he simply folded it"
1"Then she sat."
ratio0.041
7.76% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences49
matches
0"She opened the door anyway."
1"His amber eye caught the"
2"She kept her hand on"
3"He tilted his head"
4"He didn't move"
5"Her mother, when furious."
6"Her father, in courtrooms he'd"
7"She stepped back."
8"He came in the way"
9"He looked around the flat"
10"He set his cane against"
11"He said it without heat,"
12"He sat down on the"
13"She turned away and made"
14"She brought him the hedge"
15"He took it without looking"
16"He was shorter than people"
17"She looked at his mouth"
18"He reached out — she"
19"His thumb found the crescent"
ratio0.531
62.04% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount39
totalSentences49
matches
0"Rory drew them back one"
1"She opened the door anyway."
2"Lucien stood on the landing"
3"His amber eye caught the"
4"The black one didn't catch"
5"She kept her hand on"
6"He tilted his head"
7"He didn't move"
8"Water slid off the brim"
9"Nobody used her full name."
10"Her mother, when furious."
11"Her father, in courtrooms he'd"
12"She stepped back."
13"He came in the way"
14"Lucien crouched, set two fingers"
15"He looked around the flat"
16"He set his cane against"
17"He said it without heat,"
18"Rory folded her arms."
19"He sat down on the"
ratio0.796
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences49
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences20
technicalSentenceCount1
matches
0"He was shorter than people expected — five foot eleven and somehow always the tallest thing in a room — and now he was close enough that she could smell rain an…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags18
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount0
fancyTags(empty)
dialogueSentences58
tagDensity0.086
leniency0.172
rawRatio0
effectiveRatio0
83.9828%