Run: 2026-07-01-01KWE92K72S46D6Q95VHBAHVMK

Run Details

Duration:
1m 10s
Cost:
$0.000000
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
The knock came twice, spaced out like the person on the other side wasn't sure they wanted an answer. Rory unlatched the chain, pulled the door open, and there he was — Lucien, one hand braced against the frame, the ivory cane hanging loose from his fingers like he'd forgotten it was there. "You look surprised," he said. "I did knock." "You never knock. You just appear, like some sort of curse." "I've been informed my manners have improved." He glanced past her shoulder into the flat, the low lamp light catching the amber in his right eye and swallowing the black of his left. "May I come in, or are we doing this in the hallway where your neighbours can enjoy it?" She didn't move for a second. Long enough that he noticed, his mouth twitching into something that wasn't quite a smile. "It's been four months, Lucien." "Three months, two weeks." He tilted his head. "I count." "You count." Rory stepped back, more out of habit than invitation, and he took it as one anyway, brushing past her with that particular grace he had, like the floor owed him something. She shut the door harder than necessary. "Funny, for someone who left without a word." "I left a note." "You left an address for a dead drop and a line about 'complications.' That's not a note, that's a resignation letter." Lucien set the cane against the sofa arm and looked around the flat like he was cataloguing what had changed, what hadn't. The chipped mug on the counter. The coat still hung on the same hook. He didn't sit. "The complications were real," he said. "I'm sure they were." She crossed her arms. "Everything's real with you. That's what makes it so hard to tell when you're lying." "I don't lie to you." "You just leave out the truth until it stops mattering." He winced at that, actually winced, and for a moment the polish slipped, the fixer's mask cracking just enough to show something underneath — tired, maybe. Older than thirty-two. "Fair," he said. "That's fair." Rory hadn't expected him to concede so easily. It threw her off her rhythm, and she hated that it did, hated that four months hadn't dulled the way her pulse ticked up when he stood this close, smelling like rain and expensive tobacco. "Why are you here, Lucien? And it better not be information you're selling, because I'm not buying tonight." "I'm not selling anything." He reached into his jacket, and she tensed, old instinct, before he pulled out nothing more dangerous than a folded piece of paper. "I came to give you this." She didn't take it immediately. "What is it?" "An address. In Southwark. Someone's been asking about a woman matching your description — dark hair, blue eyes, works deliveries for a Chinese restaurant near Limehouse." He held the paper steady. "I thought you'd want to know before they found you instead of me finding them first." Rory took the paper, unfolded it, read the scrawled address twice like the words might rearrange themselves into something less unsettling. "Who's asking?" "I don't know yet. That's why I'm still looking." He watched her fold the paper back up, tuck it into her cardigan pocket. "I wouldn't have come if it wasn't important, Rory. You know that." "Do I?" She looked up at him. "Because the last time you said something was important, you disappeared for three and a half months." "Three months, two weeks." "Don't correct me right now." He raised both hands, a small surrender, and the movement pulled his sleeve back just enough that she caught sight of a fresh scar along his forearm, thin and precise, the kind a blade left behind. She didn't ask. She wanted to. She didn't. "I missed this flat," he said instead, looking anywhere but at her. "The mug that doesn't match the kettle. The smell of ginger and soy sauce that never quite airs out." A pause. "I missed you. If that's a complication you want to hear about." "Don't." Her voice came out sharper than she meant it, though it didn't stop the heat crawling up her neck. "You don't get to say that and then vanish again in a week." "I'm not vanishing." "You always say that." "I know." He finally looked at her properly, both eyes steady, mismatched and unflinching. "I know what I've done. I'm not asking you to forget it. I'm asking you to be careful, because whoever's looking for you isn't being subtle, and subtlety is usually the only thing standing between people like
created_at"2026-07-01T07:25:12.444Z" 7/1/2026, 7:25:12 AM
model"anthropic/claude-sonnet-5-20260630"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4165
moderation_latency(null)
generation_time69627
tokens_prompt1034
tokens_completion1236
native_tokens_prompt1467
native_tokens_completion9
native_tokens_completion_images(null)
native_tokens_reasoning88
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(null)
native_finish_reason(null)
service_tier"default"
usage0
router(null)
provider_responses
0
endpoint_id"37b16f45-eeae-45f3-9b85-2137f7c6d61b"
id"msg_0167Jq4xMNwmAc8627iHZZHe"
is_byokfalse
latency1912
model_permaslug"anthropic/claude-sonnet-5-20260630"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.17.0; linux; x64))"
http_referer(null)
request_id"req-1782890712-QnAy1wdfhqrCw7FOXPzM"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1782890712-tCmCKUR61Bws7Kce2gTW"
upstream_id"msg_0167Jq4xMNwmAc8627iHZZHe"
total_cost0
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
totalTags13
adverbTagCount2
adverbTags
0"Rory stepped back [back]"
1"he said instead [instead]"
dialogueSentences41
tagDensity0.317
leniency0.634
rawRatio0.154
effectiveRatio0.098
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount766
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
93.47% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount766
totalAiIsms1
found
0
word"pulse"
count1
highlights
0"pulse"
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
narrationSentences34
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences34
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences60
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen37
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords769
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions16
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions6
wordCount421
uniqueNames2
maxNameDensity0.95
worstName"Rory"
maxWindowNameDensity1.5
worstWindowName"Rory"
discoveredNames
Lucien2
Rory4
persons
0"Lucien"
1"Rory"
places(empty)
globalScore1
windowScore1
25.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences20
glossingSentenceCount1
matches
0"quite a smile"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount769
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences60
matches
0"hated that it"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs33
mean23.3
std17.11
cv0.734
sampleLengths
053
18
211
351
421
55
610
748
84
921
1039
116
1223
135
1410
1529
165
1743
1818
1933
208
2147
2223
2335
2424
254
265
2744
2845
2933
303
314
3251
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences34
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs85
matches
0"was cataloguing"
47.62% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences60
ratio0.033
matches
0"Rory unlatched the chain, pulled the door open, and there he was — Lucien, one hand braced against the frame, the ivory cane hanging loose from his fingers like he'd forgotten it was there."
1"He winced at that, actually winced, and for a moment the polish slipped, the fixer's mask cracking just enough to show something underneath — tired, maybe."
87.08% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount420
adjectiveStacks0
stackExamples(empty)
adverbCount23
adverbRatio0.05476190476190476
lyAdverbCount5
lyAdverbRatio0.011904761904761904
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences60
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences60
mean12.82
std10.26
cv0.8
sampleLengths
019
134
25
33
411
533
618
76
815
95
108
112
1233
137
148
154
1621
1722
186
198
203
216
228
2315
245
2510
2626
273
283
292
308
3135
3218
3327
346
355
363
3731
3816
3921
402
4123
4212
437
4417
454
465
4736
483
493
53.89% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.38333333333333336
totalSentences60
uniqueOpeners23
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences29
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount19
totalSentences29
matches
0"He glanced past her shoulder"
1"She didn't move for a"
2"He tilted his head"
3"She shut the door harder"
4"He didn't sit."
5"She crossed her arms"
6"He winced at that, actually"
7"It threw her off her"
8"He reached into his jacket,"
9"She didn't take it immediately."
10"He held the paper steady"
11"He watched her fold the"
12"She looked up at him"
13"He raised both hands, a"
14"She didn't ask."
15"She wanted to."
16"he said instead, looking anywhere"
17"Her voice came out sharper"
18"He finally looked at her"
ratio0.655
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount27
totalSentences29
matches
0"The knock came twice, spaced"
1"Rory unlatched the chain, pulled"
2"He glanced past her shoulder"
3"She didn't move for a"
4"He tilted his head"
5"Rory stepped back, more out"
6"She shut the door harder"
7"Lucien set the cane against"
8"The chipped mug on the"
9"The coat still hung on"
10"He didn't sit."
11"She crossed her arms"
12"He winced at that, actually"
13"Rory hadn't expected him to"
14"It threw her off her"
15"He reached into his jacket,"
16"She didn't take it immediately."
17"He held the paper steady"
18"Rory took the paper, unfolded"
19"He watched her fold the"
ratio0.931
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences29
matches(empty)
ratio0
53.57% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences8
technicalSentenceCount1
matches
0"Long enough that he noticed, his mouth twitching into something that wasn't quite a smile."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount0
fancyTags(empty)
dialogueSentences41
tagDensity0.098
leniency0.195
rawRatio0
effectiveRatio0
78.6878%