Run: 2026-07-25-01KYCPX9KW9ACQZ9043H8SSGT2

Run Details

Duration:
48.2s
Cost:
$0.073390
Provider:
Amazon Bedrock

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="4413" name="Silas Blackwood" aliases="Silas, Si, the Spymaster" pronouns="he/him" species="Human" storyRole="Mentor"> <eyeColor>hazel</eyeColor> <hair>grey-streaked auburn</hair> <height>6'1"</height> <age>58</age> <beard>neatly trimmed, matching his grey-streaked auburn hair</beard> <limp>slight limp in his left leg from an old knee injury</limp> <signetRing>silver signet ring, always worn on his right hand</signetRing> <description>Silas is a retired intelligence operative turned bar owner. He carries himself with quiet authority.</description> <backstory>Former MI6 field agent who retired after a botched operation in Prague left him with a permanent knee injury. He opened "The Raven's Nest" bar in Soho as a front for his network of contacts.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> </codex> Write a fully fleshed out scene of at least 1000 words in the literary fiction genre. Two old friends who haven't seen each other in years run into each other unexpectedly at a bar. One of them has changed significantly. Through their conversation and the tension between who they were and who they've become, reveal the weight of time and unspoken regret. 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 rain had come on hard somewhere around Brewer Street, the kind that soaks through a jacket in stages, and by the time Rory pushed into the Raven's Nest her hair was plastered to her neck and the last of the delivery bags was slapping wet against her thigh. Empty, thank God. The Cheungs' insulated red monstrosity, dripping on Silas' floor. "Boots," Silas said without looking up. He was at the far end of the bar with a cloth and a glass, doing that thing where he cleaned something already clean because his hands needed occupation. "They're trainers." "Whatever they are, they're leaving a trail." She hung the bag on the hook by the door — her hook, established over eight months by nothing more than repetition — and shook her hair out like a dog. Green light from the sign outside came through the window in a smeared rectangle and made everything look faintly submarine. Six-forty on a Tuesday. Three customers: a man reading a newspaper as if it were 1974, a couple in the corner having a conversation in aggressive whispers. And a woman at the bar with her back to the room, in a coat that cost more than Rory's month. Rory registered the coat first, the way you do. Then the posture. Then something in the shoulders, some particular angle of the neck, and her stomach went strange and light before her brain caught up. "Eva?" The woman turned. It was and it wasn't. The face was the same underneath — that was the awful part, the way the bones held the same argument they always had — but everything laid over the top had been revised. Eva's hair had gone from the black-cherry disaster she'd maintained through sixth form to a smooth, expensive ash blonde. There was work around her eyes, or maybe just money, which does similar things. She'd lost weight in the manner of someone who'd decided to. "Rory." She said it flatly, the way you'd read a name off a list. Then something moved through her face and she stood up, and for a second she was nineteen again in a Cardiff kitchen at four in the morning eating cold beans out of the tin. "Oh my God. Rory." They hugged. It went on slightly too long and then ended slightly too abruptly, both of them stepping back at once as though the other had signalled. "You're wet," Eva said. "I'm always wet. It's my defining feature." Rory looked at her, still not quite trusting it. "What are you doing here?" "Drinking." Eva sat back down, arranged herself. There was a glass of something clear in front of her with a lemon twist going soft at the bottom. "I had a thing on Wardour Street and it finished early and I didn't want to go back to the hotel yet." "You're in a hotel." "I'm in Kensington usually. But there's a thing with the flat, there's scaffolding, it's —" She waved a hand. "It's boring. Don't make me explain scaffolding." Silas set a glass of tap water in front of Rory without being asked and drifted down the bar to the newspaper man, far enough to be polite, close enough to hear. The signet ring caught the green light. Rory had learned to read his distances. "So." She hooked a stool over with her foot and sat. "Kensington." "Don't." "I didn't say anything." "You said Kensington in italics." Rory laughed, and it came out easier than she expected. "Fine. You look — you look incredible, Eva. Genuinely. You look like a woman in an advert for a bank." "That's the worst compliment I've ever received." "It wasn't entirely a compliment." Eva smiled at her drink. "There she is." The rain got louder against the window for a moment and then eased. Rory turned her water glass in a slow circle on the wood and thought about the fact that she had, in the last eight months, walked past a hundred women in coats like that and not once looked at any of their faces. "Three years," she said. "Two and a half." "Three. I counted at Christmas. I do that, it's a horrible habit, I count things at Christmas." "Two and a half," Eva said again, gently, "because I saw you in September. That September. You were on the Tube at Green Park and you were asleep against the glass and I didn't wake you up." Rory stopped turning the glass. "You were," Eva said, "wearing that grey thing with the hole in the elbow. And I thought, I'll wake her. And then I thought, she'll ask me how I am and I'll have to lie, and I don't want to lie to Rory on the Piccadilly line. And then it was Piccadilly Circus and I got off." "That's a horrible story." "I know." "That's genuinely one of the worst things anyone's ever told me." "I've been carrying it around for two and a half years," Eva said. "It's much lighter now. Thank you." Rory took a drink of water because there was nothing else to do with her mouth. Outside, someone's umbrella turned inside out and they swore about it in what sounded like Portuguese. "You told me to come," she said finally. "To London. You rang me at half two in the morning and you said, Rory, get on a train, and I got on a train." "I know." "And then you weren't here." "I was here." "You were *here*," Rory said, "in the sense that you were in the city. You were not here in the sense of — Eva, I slept on a woman's floor in Leyton for eleven days. A woman I met on a Facebook group. Her name was Bridget and she had a parrot that screamed." "I remember the parrot." "You never met the parrot." "You described the parrot at length," Eva said, "in a series of texts that I still have. And then you stopped texting me." "Because you stopped answering." "Yes." Eva looked up. Her eyes were the same. Money hadn't got in there. "Yes. I did." Rory waited. She had learned this from Silas, who had learned it in rooms she would never see the inside of: that silence is a tool and most people cannot bear to be near one for long. Eva bore it for eleven seconds. Rory counted. "There was a period," she said, "where I couldn't be around anyone who knew what my voice used to sound like." "What does that mean?" "It means I was becoming someone and it required a lot of concentration." She turned the lemon twist over with her straw. "You can't hold a shape when there's someone in the room who remembers the old one. It's like — I don't know. It's like trying to lie with your mother watching." "I'm not your mother." "You're worse. My mother wanted me to be somebody. You just wanted me to be *me*, and God, Rory, do you know how much harder that is to get away from?" The couple in the corner had stopped whispering. The newspaper man turned a page with tremendous ceremony. Silas polished. "I got out of it," Rory said, and heard her own voice go careful. "Evan. In case you were wondering. In case that was ever a question that occurred to you." "I knew." "How?" "Because I would have heard otherwise," Eva said. "There's a version of the world where I get a phone call about you, and I didn't get it, so." She stopped. Started again, worse. "That's a terrible thing to have just said out loud." "It really is." "I've become quite good at saying terrible things in a reasonable tone. It's most of my job." "What is your job?" "I move money for people who shouldn't have it." "That's not a job, that's a confession." Eva laughed — a real one, sudden and ugly and completely nineteen, and for a moment the coat and the hair and the eyes were just clothing over the top of the girl who'd once climbed out of a first-floor window in Roath rather than admit she'd been crying. Rory found she had put her hand on Eva's sleeve. She didn't remember deciding. "You could have rung," she said. "At any point. Any hour. I'd have picked up." "I know." "I'd still pick up." Eva looked at the hand on her sleeve for a long moment, the way you look at a photograph of a house you used to live in. "That's the thing I can't forgive you for," she said. Behind the bar, very quietly, Silas set down the glass he'd been cleaning for eleven minutes and went to find something else to do.
created_at"2026-07-25T13:19:53.474Z" 7/25/2026, 1:19:53 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1298
moderation_latency(null)
generation_time48147
tokens_prompt846
tokens_completion2024
native_tokens_prompt1238
native_tokens_completion2688
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"
usage0.07339
router(null)
provider_responses
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endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNqsh8EpURdDFuaKm8ih"
is_byokfalse
latency1298
model_permaslug"anthropic/claude-opus-5-20260723"
provider_name"Amazon Bedrock"
status200
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api_type"completions"
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upstream_id"msg_011CdNqsh8EpURdDFuaKm8ih"
total_cost0.07339
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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
totalTags21
adverbTagCount2
adverbTags
0"Eva said again [again]"
1"she said finally [finally]"
dialogueSentences68
tagDensity0.309
leniency0.618
rawRatio0.095
effectiveRatio0.059
79.38% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1455
totalAiIsmAdverbs6
found
0
adverb"slightly"
count2
1
adverb"gently"
count1
2
adverb"really"
count1
3
adverb"completely"
count1
4
adverb"very"
count1
highlights
0"slightly"
1"gently"
2"really"
3"completely"
4"very"
100.00% AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0"Blackwood"
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
86.25% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1455
totalAiIsms4
found
0
word"stomach"
count1
1
word"weight"
count1
2
word"sense of"
count1
3
word"silence"
count1
highlights
0"stomach"
1"weight"
2"sense of"
3"silence"
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
narrationSentences68
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences68
filterMatches
0"look"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences115
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen57
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords2
totalWords1463
ratio0.001
matches
0"here"
1"me"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions27
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions44
wordCount820
uniqueNames13
maxNameDensity1.83
worstName"Rory"
maxWindowNameDensity4
worstWindowName"Rory"
discoveredNames
Brewer1
Street1
Rory15
Raven1
Nest1
God1
Silas5
Tuesday1
Cardiff1
Eva14
Portuguese1
Started1
Roath1
persons
0"Rory"
1"Silas"
2"Eva"
places
0"Brewer"
1"Street"
2"Raven"
3"Cardiff"
4"Roath"
globalScore0.585
windowScore0.333
14.86% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences37
glossingSentenceCount2
matches
0"not quite trusting it"
1"sounded like Portuguese"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1463
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences115
matches
0"doing that thing"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs73
mean20.04
std19.78
cv0.987
sampleLengths
061
135
22
37
478
521
635
71
83
982
1052
1127
124
1321
1449
154
1626
1746
1812
191
204
215
2230
237
245
258
2656
274
284
2917
3037
315
3257
334
342
3511
3619
3732
3833
392
405
413
4254
434
445
4523
464
4717
4837
498
89.78% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences68
matches
0"was plastered"
1"been revised"
2"being asked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs138
matches
0"was slapping"
1"were just clothing"
68.32% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences3
totalSentences115
ratio0.026
matches
0"She hung the bag on the hook by the door — her hook, established over eight months by nothing more than repetition — and shook her hair out like a dog."
1"The face was the same underneath — that was the awful part, the way the bones held the same argument they always had — but everything laid over the top had been revised."
2"Eva laughed — a real one, sudden and ugly and completely nineteen, and for a moment the coat and the hair and the eyes were just clothing over the top of the girl who'd once climbed out of a first-floor window in Roath rather than admit she'd been crying."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount511
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.03522504892367906
lyAdverbCount7
lyAdverbRatio0.0136986301369863
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences115
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences115
mean12.72
std12.24
cv0.962
sampleLengths
049
13
29
36
429
52
67
731
820
94
1023
1121
129
133
1423
151
163
175
1833
1919
2014
2111
2214
2334
244
252
2625
274
2816
295
307
3120
3222
334
3419
357
3632
377
387
3911
401
411
424
435
4410
4520
467
475
485
493
53.04% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.3391304347826087
totalSentences115
uniqueOpeners39
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences52
matches
0"Then the posture."
1"Then something in the shoulders,"
2"Then something moved through her"
ratio0.058
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount12
totalSentences52
matches
0"He was at the far"
1"She hung the bag on"
2"It was and it wasn't."
3"She'd lost weight in the"
4"She said it flatly, the"
5"It went on slightly too"
6"She hooked a stool over"
7"she said finally"
8"Her eyes were the same."
9"She had learned this from"
10"She turned the lemon twist"
11"She didn't remember deciding."
ratio0.231
85.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount39
totalSentences52
matches
0"The rain had come on"
1"Silas said without looking up"
2"He was at the far"
3"She hung the bag on"
4"Rory registered the coat first,"
5"The woman turned."
6"It was and it wasn't."
7"The face was the same"
8"Eva's hair had gone from"
9"She'd lost weight in the"
10"She said it flatly, the"
11"It went on slightly too"
12"Rory looked at her, still"
13"Eva sat back down, arranged"
14"Silas set a glass of"
15"The signet ring caught the"
16"Rory had learned to read"
17"She hooked a stool over"
18"Rory laughed, and it came"
19"Eva smiled at her drink."
ratio0.75
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences52
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences25
technicalSentenceCount5
matches
0"The rain had come on hard somewhere around Brewer Street, the kind that soaks through a jacket in stages, and by the time Rory pushed into the Raven's Nest her …"
1"Three customers: a man reading a newspaper as if it were 1974, a couple in the corner having a conversation in aggressive whispers."
2"It went on slightly too long and then ended slightly too abruptly, both of them stepping back at once as though the other had signalled."
3"She had learned this from Silas, who had learned it in rooms she would never see the inside of: that silence is a tool and most people cannot bear to be near on…"
4"Eva laughed — a real one, sudden and ugly and completely nineteen, and for a moment the coat and the hair and the eyes were just clothing over the top of the gi…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags21
uselessAdditionCount1
matches
0"Eva said again, gently,"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags15
fancyCount0
fancyTags(empty)
dialogueSentences68
tagDensity0.221
leniency0.441
rawRatio0
effectiveRatio0
83.6661%