Run: 2026-04-24-01KPZV0XM87NSVJ4QHT5777V5Q

Run Details

Duration:
27.0s
Cost:
$0.056585
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 clicked, then the second, then the first. Rory cracked the door, chain still drawn, and through the gap she saw him — leaning on that bloody ivory cane like he'd been born with it in his hand, amber eye catching the hall light, black eye swallowing it. "Évangeline said you were ill," Lucien said. "You look insultingly well." "Eva lied." "Eva is a professional liar. I came anyway." Ptolemy threaded between her ankles and she nudged him back with her heel. She didn't undo the chain. "It's half past ten." "I'm aware of the hour, Aurora." The way he pronounced it — Au-ro-ra, the first syllable gilded — still did something to her sternum she wasn't prepared to negotiate with. She slid the chain free and stepped back, arms folded, because folded arms were a kind of armour and she'd take what she could get. He came in slowly, the cane tapping once against the floorboards. He smelled the same. Bergamot, tobacco, and something underneath that she'd never been able to name and had once, stupidly, tried to. "Shoes off." "You're joking." "Eva's rule. Take it up with her." He bent, unlaced his oxfords with the patience of a man who'd never rushed anything in his life, and lined them beside the mat. When he straightened, his eyes did that inventory thing — the one that had, six months ago, made her feel mapped. Now it just made her feel looked at. "Sit down," she said. "Or don't. I'm making tea because I want tea, not because you're here." "Noted." She went to the kitchen — two steps, really, in a flat this size — and filled the kettle with her back to him. The tap ran long past full. She heard the cane settle against the arm of the sofa, the faint exhale as he sat. "Why are you here, Luc?" "I was in the area." "You were in Marseille last I heard." "Marseille is in the area." She almost laughed. She hated that. "Try again." A pause. The kettle clicked on and began its low labouring hum. "A name came up," he said. "In a room I was in. A room I shouldn't have been in, and a name I shouldn't have heard. Yours." She turned. He was looking at Ptolemy, who had claimed his lap with the entitlement of a small emperor. Lucien's gloved hand rested on the cat's back but did not stroke it, as though he hadn't yet decided whether to be that kind of man tonight. "Which name?" "Malphora." The mug in her hand felt suddenly far away, like she was holding it through a glove of her own. She set it down carefully on the counter. "No one's called me that in six months." "Someone has." "Who?" "I don't know yet. That's what I came to tell you. I don't know yet, and I didn't want you to hear it from someone who didn't care whether you heard it well." "And you care how I hear it." "Apparently." She crossed the room before she'd decided to, stopped two feet from the sofa because two feet was the furthest she trusted herself to stand. Ptolemy blinked up at her and made a small, betrayed sound at the interruption. "You could have called." "You blocked my number." "I unblocked it." "When." "March." His mouth did a thing — not a smile, a recognition, the corner lifting a quarter of an inch and then deciding against the whole expression. "Then I could have called," he said. "You're right." "So why didn't you." "Because if you heard my voice you'd hang up, and if you didn't hang up I'd say something I hadn't rehearsed, and I wanted to rehearse." "Did you?" "Rehearse? Yes. On the plane. Extensively." "How's it going." "Poorly." She sat down. Not beside him — the armchair, Eva's armchair, the one with the dent in the cushion shaped like a woman who read too much. She pulled her knees up. "The last thing you said to me," she said, "was that I was a distraction you couldn't afford." "Yes." "Do you remember what I said back." "Every word." "Say it." He looked at her then, properly, both eyes, and the black one seemed deeper in this light, a pupil that went all the way through. "You said, 'Then don't afford me.' And you closed the door. I stood in the corridor for eleven minutes." "You counted." "I had nothing else to do." The kettle screamed. Neither of them moved. After a moment it clicked itself off, unappeased. "I shouldn't have said what I said," he told her. "I said it because I meant it and I meant it because I was frightened, and I have since learned that those are not the same justification." "Learning. At thirty-two." "Late, I agree." "Don't do that." "Do what?" "The charming self-deprecation. You do it when you don't want to say the real thing." He was quiet for a long beat. Ptolemy resettled, purring, unbothered by human disasters. "The real thing," Lucien said, "is that I came tonight because someone in a back room in Southwark said your name, and before I could think about the job or the contract or the trouble it put me in, I thought, she doesn't know, and I cannot be a man who lets her not know. That's the real thing. The rest is — decoration." She looked at the ceiling. The damp patch. The crack that ran from the light fitting to the cornice, shaped like a river with one tributary. "Make the tea," she said. "I can't do this standing up and I can't do this without something in my hands." "You're sitting down." "Metaphorically, Luc." He eased Ptolemy off his lap with the apology of a man who knew he was being used as furniture and accepted the role. He rose, took the cane in one hand, and went to the kitchen. He knew where the mugs were. That was the part that nearly undid her — that six months had passed and he still knew, without looking, which cupboard.
created_at"2026-04-24T13:31:46.199Z" 4/24/2026, 1:31:46 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency846
moderation_latency(null)
generation_time26904
tokens_prompt1034
tokens_completion1518
native_tokens_prompt1472
native_tokens_completion1969
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"
usage0.056585
router(null)
provider_responses
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endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"d39e9fa8-c72e-419e-abbe-86bf9b06f3b9"
is_byokfalse
latency846
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-1777037506-Iq9SvmxudnccRDheaG6z"
session_id(null)
api_type"completions"
id"gen-1777037506-LTzkcMeEQs6onNiDuMjG"
upstream_id"d39e9fa8-c72e-419e-abbe-86bf9b06f3b9"
total_cost0.056585
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
totalTags8
adverbTagCount0
adverbTags(empty)
dialogueSentences60
tagDensity0.133
leniency0.267
rawRatio0
effectiveRatio0
80.28% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1014
totalAiIsmAdverbs4
found
0
adverb"slowly"
count1
1
adverb"really"
count1
2
adverb"suddenly"
count1
3
adverb"carefully"
count1
highlights
0"slowly"
1"really"
2"suddenly"
3"carefully"
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)
95.07% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1014
totalAiIsms1
found
0
word"the last thing"
count1
highlights
0"the last thing"
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)
58.82% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences51
filterMatches
0"feel"
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences103
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen63
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1024
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions21
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions10
wordCount601
uniqueNames4
maxNameDensity0.83
worstName"Ptolemy"
maxWindowNameDensity1.5
worstWindowName"Ptolemy"
discoveredNames
Ptolemy5
Au-ro-ra1
Eva1
Lucien3
persons
0"Ptolemy"
1"Eva"
2"Lucien"
places(empty)
globalScore1
windowScore1
69.35% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences31
glossingSentenceCount1
matches
0"seemed deeper in this light, a pupil that went all the way through"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1024
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences103
matches
0"did that inventory"
1"be that kind"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs72
mean14.22
std16.46
cv1.157
sampleLengths
050
111
22
38
418
54
66
749
833
92
102
117
1253
1317
141
1547
165
175
187
195
206
212
2212
2327
2446
252
261
2728
288
292
301
3133
327
331
3439
354
364
373
381
391
4026
419
424
4326
442
456
463
471
4832
4918
98.38% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences51
matches
0"being used"
80.95% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs112
matches
0"was looking"
1"was holding"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount9
semicolonCount0
flaggedSentences7
totalSentences103
ratio0.068
matches
0"Rory cracked the door, chain still drawn, and through the gap she saw him — leaning on that bloody ivory cane like he'd been born with it in his hand, amber eye catching the hall light, black eye swallowing it."
1"The way he pronounced it — Au-ro-ra, the first syllable gilded — still did something to her sternum she wasn't prepared to negotiate with."
2"When he straightened, his eyes did that inventory thing — the one that had, six months ago, made her feel mapped."
3"She went to the kitchen — two steps, really, in a flat this size — and filled the kettle with her back to him."
4"His mouth did a thing — not a smile, a recognition, the corner lifting a quarter of an inch and then deciding against the whole expression."
5"Not beside him — the armchair, Eva's armchair, the one with the dent in the cushion shaped like a woman who read too much."
6"That was the part that nearly undid her — that six months had passed and he still knew, without looking, which cupboard."
98.17% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount594
adjectiveStacks0
stackExamples(empty)
adverbCount25
adverbRatio0.04208754208754209
lyAdverbCount7
lyAdverbRatio0.011784511784511785
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences103
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences103
mean9.94
std10.26
cv1.032
sampleLengths
010
140
27
34
42
58
613
75
84
96
1024
1125
1211
134
1418
152
162
177
1824
1921
208
214
2213
231
2424
256
2617
275
285
297
305
313
323
332
342
3510
366
3721
382
3917
4027
412
421
4320
448
458
462
471
4833
497
75.40% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.5048543689320388
totalSentences103
uniqueOpeners52
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"She didn't undo the chain."
1"She slid the chain free"
2"He came in slowly, the"
3"He smelled the same."
4"He bent, unlaced his oxfords"
5"She went to the kitchen"
6"She heard the cane settle"
7"She almost laughed."
8"She hated that."
9"He was looking at Ptolemy,"
10"She set it down carefully"
11"She crossed the room before"
12"His mouth did a thing"
13"She sat down."
14"She pulled her knees up."
15"He looked at her then,"
16"he told her"
17"He was quiet for a"
18"She looked at the ceiling."
19"He eased Ptolemy off his"
ratio0.524
7.62% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount38
totalSentences42
matches
0"The third deadbolt clicked, then"
1"Rory cracked the door, chain"
2"Ptolemy threaded between her ankles"
3"She didn't undo the chain."
4"The way he pronounced it"
5"She slid the chain free"
6"He came in slowly, the"
7"He smelled the same."
8"Bergamot, tobacco, and something underneath"
9"He bent, unlaced his oxfords"
10"She went to the kitchen"
11"The tap ran long past"
12"She heard the cane settle"
13"She almost laughed."
14"She hated that."
15"The kettle clicked on and"
16"He was looking at Ptolemy,"
17"Lucien's gloved hand rested on"
18"The mug in her hand"
19"She set it down carefully"
ratio0.905
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences42
matches
0"Now it just made her"
ratio0.024
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences24
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount0
fancyTags(empty)
dialogueSentences60
tagDensity0.133
leniency0.267
rawRatio0
effectiveRatio0
82.4844%