Run: 2026-04-24-01KQ0G8EEBSCNBYRT33PBVKYXM

Run Details

Duration:
25.7s
Cost:
$0.058285
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 third deadbolt gave with that same stubborn clunk it always did, and Rory pulled the door open already halfway into a speech about delivery receipts. The speech died. Lucien stood on the landing like he'd been painted there — charcoal suit immaculate despite the East London drizzle, ivory cane resting against the toe of one polished shoe, one amber eye and one black eye settled on her with the calm of a man who had all the time in the world. "You're not the curry delivery," Rory said. "A rare disappointment, I'm sure." His mouth tilted. "May I come in, or would you prefer to conduct this on the stairwell for the benefit of your neighbours?" She didn't move. Ptolemy wound between her ankles, purring at the new arrival with the traitorous enthusiasm cats reserved for people one was actively trying to dislike. "You didn't ring." "I did, in fact. Three times. Your buzzer has been broken since November." "Then how did you—" "Mrs. Bashir let me in. She remembered me." "Of course she did." Rory folded her arms across the oversized jumper she'd stolen from Eva's wardrobe that morning. "Everyone remembers you, Luc. It's the suits. You radiate insurance salesman." "And yet you remain unconvinced by my policies." He didn't push past her, which was somehow worse. He simply waited, the picture of patience, while rain caught the platinum of his hair and refused to ruin it. "Five minutes, Aurora. That's all I'm asking." She hated when he used her full name. It landed somewhere low in her stomach, a place she'd been pretending didn't exist since the night in Spitalfields. Since the rooftop. Since he'd said what he'd said and she'd said what she'd said and they'd both walked off in opposite directions pretending they weren't walking too fast. She stepped aside. Lucien moved past her with that economy he had, everything spare, nothing wasted. He knew the flat. He'd been here before. He set the cane against the bookcase by the door — the one gesture that always gave him away as something other than a man — and turned to face her as she worked through the deadbolts again. "You've added another lock," he said. "Observant." "Expecting trouble?" "Always." She turned. The kitchen was six steps from the door; he filled it without meaning to. "Say what you came to say." "No tea first?" "Luc." "Very well." He slid his hands into his pockets. The black eye caught the light from the bulb overhead and swallowed it. "I have a name for you. The one you've been chasing." Her breath caught before she could stop it. "Evan?" "A man who crossed the Channel three weeks ago under an alias. My people traced him to a flat in Whitechapel. Half a mile from here, Aurora." She turned away. Put her hands on the counter. The crescent scar on her wrist showed white against the wood, and she noticed Lucien notice it, and she moved her arm before she could stop herself. "Why are you telling me this in person?" "Because if I had called, you would have hung up." "Fair." "And because I wanted to see your face when I told you." She looked at him then. Properly. The suit, the cane, the careful, careful distance he kept with the whole of his body, as though he were holding something in check that he did not trust to let loose. "Why?" "To judge whether you were going to do something stupid." "And?" "The verdict is not favourable." A laugh scraped out of her before she could swallow it. "You came all the way here, in the rain, to lecture me?" "I came all the way here, in the rain, because the last time you went looking for him without backup you ended up in A&E with a broken wrist, and I was not there." He said it evenly, the way he said everything, but something beneath the words had weight. "I do not intend to repeat that particular absence." The kitchen went quiet. Ptolemy leapt onto the counter and neither of them told him off. "That's not fair," Rory said. "What isn't?" "Saying it like that. Like you get to just — show up, and say things like that, after—" "After what I said on the roof?" "Yes." "After what you said?" "Yes." "Aurora." He took one step, not more. "I meant every word. That has not become less inconvenient with time." She pressed her palms harder against the counter. "You told me you couldn't." "I told you I shouldn't. There is a difference. You didn't stay long enough to appreciate the grammar." "Oh, fuck off with your grammar." "Language like that, from a barrister's daughter." "I'm not a barrister." "No." His voice softened, just a fraction. "You are a delivery girl with a hunted look and a kitchen knife on her counter, and I am thirty-two years old and running out of patience with the version of myself that walked away from that rooftop." She wouldn't look at him. She couldn't. The jumper was too warm suddenly and the flat was too small and Ptolemy was purring like a small engine and she could smell the rain on Lucien's coat, the faint cedar of whatever absurd cologne he wore, and she had been doing fine, she had been, she had been almost fine, and now— "Don't," she said. "Don't what?" "Don't come in here and be — be kind at me. I can't do it today." He was quiet. Then: "Then I shall be unkind. Pack a bag. You are not staying here tonight." She laughed, wet and startled. "Excuse me?" "If Evan is half a mile away, you are not sleeping above a curry house with three deadbolts and a cat." "Eva's bed is quite comfortable, actually." "I've no doubt. You are still not staying in it." "And where am I meant to go, Luc? Yours?" He held her gaze. One amber eye, one black. The rain tapped the window behind him. Ptolemy, useless, kept purring. "If you like," he said.
created_at"2026-04-24T19:42:52.881Z" 4/24/2026, 7:42:52 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1539
moderation_latency(null)
generation_time25520
tokens_prompt1034
tokens_completion1568
native_tokens_prompt1472
native_tokens_completion2037
native_tokens_completion_images(null)
native_tokens_reasoning46
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"
usage0.058285
router(null)
provider_responses
0
endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"942dfe44-0a6f-46a8-adad-aa9096b8f6a7"
is_byokfalse
latency676
model_permaslug"anthropic/claude-4.7-opus-20260416"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777059772-VAx3DhtDXCk8YDPqs0Sk"
session_id(null)
api_type"completions"
id"gen-1777059772-QbSFyyECcW7ghXD3FRJC"
upstream_id"942dfe44-0a6f-46a8-adad-aa9096b8f6a7"
total_cost0.058285
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags13
adverbTagCount1
adverbTags
0"His voice softened just [just]"
dialogueSentences59
tagDensity0.22
leniency0.441
rawRatio0.077
effectiveRatio0.034
90.12% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1012
totalAiIsmAdverbs2
found
0
adverb"very"
count1
1
adverb"suddenly"
count1
highlights
0"very"
1"suddenly"
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)
80.24% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1012
totalAiIsms4
found
0
word"stomach"
count1
1
word"traced"
count1
2
word"weight"
count1
3
word"comfortable"
count1
highlights
0"stomach"
1"traced"
2"weight"
3"comfortable"
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
filterCount1
hedgeCount0
narrationSentences51
filterMatches
0"notice"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences96
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen54
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1017
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
totalMentions16
wordCount555
uniqueNames7
maxNameDensity0.72
worstName"Rory"
maxWindowNameDensity1.5
worstWindowName"Rory"
discoveredNames
Rory4
East1
London1
Eva1
Spitalfields1
Lucien4
Ptolemy4
persons
0"Rory"
1"Eva"
2"Lucien"
3"Ptolemy"
places
0"East"
1"London"
2"Spitalfields"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences26
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1017
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences96
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs63
mean16.14
std16.49
cv1.021
sampleLengths
026
13
253
37
428
527
63
713
84
98
1030
1144
1256
133
1459
156
161
172
1823
193
201
2133
229
2327
2436
258
2610
271
2812
2938
301
3110
321
335
3423
3559
3616
375
382
3918
407
411
424
431
4419
4513
4618
476
487
494
98.38% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences51
matches
0"been painted"
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs101
matches
0"was actively trying"
1"weren't walking"
2"were holding"
3"was purring"
23.81% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount1
flaggedSentences4
totalSentences96
ratio0.042
matches
0"Lucien stood on the landing like he'd been painted there — charcoal suit immaculate despite the East London drizzle, ivory cane resting against the toe of one polished shoe, one amber eye and one black eye settled on her with the calm of a man who had all the time in the world."
1"He set the cane against the bookcase by the door — the one gesture that always gave him away as something other than a man — and turned to face her as she worked through the deadbolts again."
2"The kitchen was six steps from the door; he filled it without meaning to."
3"The jumper was too warm suddenly and the flat was too small and Ptolemy was purring like a small engine and she could smell the rain on Lucien's coat, the faint cedar of whatever absurd cologne he wore, and she had been doing fine, she had been, she had been almost fine, and now—"
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount552
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.03985507246376811
lyAdverbCount5
lyAdverbRatio0.009057971014492754
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences96
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences96
mean10.59
std11.03
cv1.041
sampleLengths
026
13
253
37
48
520
63
724
83
913
104
118
1219
1311
1417
1520
167
178
1819
193
2026
213
2213
234
244
2538
266
271
282
293
3014
316
323
331
349
3513
3611
378
381
3927
403
416
4227
438
4410
451
4612
475
481
4932
69.79% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.46875
totalSentences96
uniqueOpeners45
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences42
matches(empty)
ratio0
10.48% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences42
matches
0"His mouth tilted"
1"She didn't move."
2"He didn't push past her,"
3"He simply waited, the picture"
4"She hated when he used"
5"It landed somewhere low in"
6"She stepped aside."
7"He knew the flat."
8"He'd been here before."
9"He set the cane against"
10"He slid his hands into"
11"Her breath caught before she"
12"She turned away."
13"She looked at him then."
14"He said it evenly, the"
15"He took one step, not"
16"She pressed her palms harder"
17"His voice softened, just a"
18"She wouldn't look at him."
19"He was quiet."
ratio0.524
7.62% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount38
totalSentences42
matches
0"The third deadbolt gave with"
1"The speech died."
2"Lucien stood on the landing"
3"His mouth tilted"
4"She didn't move."
5"Ptolemy wound between her ankles,"
6"Rory folded her arms across"
7"He didn't push past her,"
8"He simply waited, the picture"
9"She hated when he used"
10"It landed somewhere low in"
11"She stepped aside."
12"Lucien moved past her with"
13"He knew the flat."
14"He'd been here before."
15"He set the cane against"
16"The kitchen was six steps"
17"He slid his hands into"
18"The black eye caught the"
19"Her breath caught before she"
ratio0.905
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences42
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences15
technicalSentenceCount3
matches
0"Lucien stood on the landing like he'd been painted there — charcoal suit immaculate despite the East London drizzle, ivory cane resting against the toe of one p…"
1"Ptolemy wound between her ankles, purring at the new arrival with the traitorous enthusiasm cats reserved for people one was actively trying to dislike."
2"The suit, the cane, the careful, careful distance he kept with the whole of his body, as though he were holding something in check that he did not trust to let …"
86.54% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount1
matches
0"He took, not more"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount0
fancyTags(empty)
dialogueSentences59
tagDensity0.102
leniency0.203
rawRatio0
effectiveRatio0
75.5658%