Run: 2026-07-01-01KWE91X02DZVTEABBGQMATMPG

Run Details

Duration:
31.4s
Cost:
$0.023016
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 Raven's Nest was quiet on a Tuesday, the way Rory liked it best. Rain streaked the front windows in long silver ropes, and the green neon sign outside bled its color across the wet pavement in a smear that looked, from the right angle, like something bruised. Inside, the air smelled of old wood polish and cigarette smoke that had soaked into the walls decades before smoking indoors had been outlawed, a smell that never quite left no matter how many times Silas scrubbed the place down. She was wiping glasses behind the bar, not because Silas asked her to but because her hands needed something to do, when the door opened and a gust of cold air came in with a woman she almost didn't recognize. "Eva?" The woman turned, and for a moment neither of them said anything. Rory set down the glass she was holding, slow, careful, as if sudden movement might scare the moment off before she could be sure of it. It was Eva. It was, unmistakably, Eva Whitfield, the girl who used to sneak vodka into their sixth-form common room in a water bottle and dare Rory to drink it during registration. But the years had reshaped her in ways Rory wasn't prepared for. She was thinner, sharper somehow, her cheekbones cutting shadows under eyes that had once been quick to laugh and now looked like they were doing sums behind the glass. Her hair, once a riot of copper curls she used to complain about taming, was cropped close to her skull and dyed a flat, severe black. She wore a coat that cost more than Rory made in a month of deliveries, and she wore it like armor. "Rory," Eva said, and there was a beat before the smile came, like she'd had to remember how. "God. Rory Carter." "It's just Rory these days. Well — some days it's other things too, but never mind that." She came around the bar, and they hugged, stiff at first, then not, Eva's coat cold and damp against Rory's cheek, smelling of rain and something floral and expensive underneath. "I didn't know you were back in London." "I didn't know you were either. Last I heard you were still in Cardiff, glued to a law textbook you hated." "That was a long time ago." "Eight years," Eva said. "Give or take." Rory gestured to a booth near the back, beneath a black-and-white photograph of Soho in the sixties, and Eva slid into it the way she used to slide into things — like she owned whatever space she occupied, though now there was something practiced in it, something that hadn't been there before. Rory brought over two glasses and a bottle of Silas's good whisky without asking if that's what Eva wanted. Some things you didn't forget about a person. "So," Eva said, watching her pour. "You work here?" "Above it, technically. I live in the flat upstairs. Silas — he owns the place — lets me stay there. I do deliveries during the day for a restaurant in Chinatown, and some nights I help out down here." Rory shrugged, like the sentence didn't cost her anything, though it did, a little, saying it out loud to the girl who used to talk about the two of them moving to London together and taking the city by the throat. "It's not what either of us pictured, is it?" "No," Eva agreed, and something flickered behind her eyes, gone before Rory could read it. "It's not." "What about you? What brings the great Eva Whitfield back to London in a coat like that?" "Work." Eva turned her glass slowly on the table, not drinking. "I'm in finance now. Boring, I know. Zurich, mostly, the last few years. London for a project." "Finance," Rory repeated. "You used to say you'd rather die than end up doing something with numbers. You said Maths was, and I quote, 'a conspiracy against people with imagination.'" Eva laughed, but it came out thin, like laughter filtered through a long tunnel. "People change." "Clearly." There was a silence then, not comfortable, the kind that used to never exist between them. They'd been the sort of friends who could sit in a room saying nothing for an hour and feel closer for it. This silence had weight. It sat on the table between the whisky glasses like something neither of them wanted to name. "I looked for you," Eva said finally. "After. When you disappeared from Cardiff. I called your mum's house a few times. She said you'd gone to London and didn't want to be found." Rory's fingers tightened slightly around her glass. "That wasn't true. I wanted to be found by some people. Not others." "I wasn't Evan, Rory." "I know that." "Then why didn't you call me back?" The question hung there, unglamorous and honest in a way their conversation hadn't been until now. Rory looked at her — really looked — at the sharp lines of her face, the black hair, the coat, the careful stillness of her hands, and thought about all the versions of Eva that must have happened in the years between the girl with the vodka bottle and the woman sitting across from her now. She wondered how many of those versions had wondered about her too. "I was ashamed," Rory said. "I left everything in a hurry. I didn't want anyone from before to see what I'd become. Not even you." "And now?" "Now I don't know what I've become either, so I suppose there's nothing left to hide." Eva's mouth curved, not quite a smile. "That's very grim for someone pouring whisky in a bar with a neon sign." "You should see me on a Friday shift." They both laughed then, and it loosened something, not everything, but something, enough that Eva finally lifted her glass and drank. Rory watched her throat move, watched the practiced ease with which she set the glass back down, exactly where it had been, like even her drinking had learned discretion somewhere along the way. She thought of the girl who used to spill vodka down her school jumper and laugh about it for a week. "I'm glad I found you," Eva said quietly, and this time the words didn't sound practiced at all. "Even like this. Even now." "Me too," Rory said, and meant it, though beneath the words was the ache of every year they hadn't spoken, every version of themselves the other had missed, sitting between them like a debt neither of them knew how to repay. Outside, the rain kept falling, and the green neon sign burned on, indifferent, into the dark.
created_at"2026-07-01T07:24:49.55Z" 7/1/2026, 7:24:49 AM
model"anthropic/claude-sonnet-5-20260630"
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external_user(null)
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cancelledfalse
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generation_time31359
tokens_prompt867
tokens_completion1610
native_tokens_prompt1238
native_tokens_completion2054
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native_tokens_reasoning0
native_tokens_cached0
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num_input_audio_prompt(null)
num_media_completion0
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origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
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usage0.023016
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provider_responses
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is_byokfalse
latency1740
model_permaslug"anthropic/claude-sonnet-5-20260630"
provider_name"Amazon Bedrock"
status200
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api_type"completions"
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data_region"global"

Evaluation details

Result Evaluator Details Meta Data
37.84% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags12
adverbTagCount3
adverbTags
0"Rory shrugged like [like]"
1"Eva said finally [finally]"
2"Eva said quietly [quietly]"
dialogueSentences37
tagDensity0.324
leniency0.649
rawRatio0.25
effectiveRatio0.162
82.05% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1114
totalAiIsmAdverbs4
found
0
adverb"slowly"
count1
1
adverb"slightly"
count1
2
adverb"really"
count1
3
adverb"very"
count1
highlights
0"slowly"
1"slightly"
2"really"
3"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)
73.07% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1114
totalAiIsms6
found
0
word"flickered"
count1
1
word"silence"
count2
2
word"comfortable"
count1
3
word"weight"
count1
4
word"practiced ease"
count1
highlights
0"flickered"
1"silence"
2"comfortable"
3"weight"
4"practiced ease"
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
narrationSentences41
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences41
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences66
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen78
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1120
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions41
wordCount805
uniqueNames9
maxNameDensity1.99
worstName"Rory"
maxWindowNameDensity4
worstWindowName"Eva"
discoveredNames
Raven1
Nest1
Tuesday1
Rory16
Silas3
Eva16
Whitfield1
Soho1
London1
persons
0"Raven"
1"Rory"
2"Silas"
3"Eva"
4"Whitfield"
places
0"Soho"
1"London"
globalScore0.506
windowScore0.333
2.94% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences34
glossingSentenceCount2
matches
0"looked like they were doing sums behind t"
1"not quite a smile"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.893
wordCount1120
matches
0"not everything, but something, enough"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences66
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs35
mean32
std30.09
cv0.94
sampleLengths
088
140
21
338
4120
521
655
721
86
97
1079
119
1289
1317
1417
1528
1630
1716
181
1959
2033
2120
224
233
247
2584
2625
272
2816
2921
308
3175
3223
3341
3416
88.15% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences41
matches
0"been outlawed"
1"was cropped"
52.94% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs136
matches
0"was wiping"
1"was holding"
2"were doing"
56.28% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences2
totalSentences66
ratio0.03
matches
0"Rory gestured to a booth near the back, beneath a black-and-white photograph of Soho in the sixties, and Eva slid into it the way she used to slide into things — like she owned whatever space she occupied, though now there was something practiced in it, something that hadn't been there before."
1"Rory looked at her — really looked — at the sharp lines of her face, the black hair, the coat, the careful stillness of her hands, and thought about all the versions of Eva that must have happened in the years between the girl with the vodka bottle and the woman sitting across from her now."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount805
adjectiveStacks0
stackExamples(empty)
adverbCount31
adverbRatio0.03850931677018633
lyAdverbCount8
lyAdverbRatio0.009937888198757764
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences66
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences66
mean16.97
std14.97
cv0.882
sampleLengths
014
134
240
340
41
512
626
73
829
912
1029
1126
1221
1318
143
1547
168
1721
186
194
203
2152
2219
238
246
253
2680
279
2815
292
3017
3111
3217
333
3427
3514
362
371
3816
3922
404
4117
427
4326
447
4513
464
473
487
4916
78.28% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.5151515151515151
totalSentences66
uniqueOpeners34
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences38
matches(empty)
ratio0
93.68% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount12
totalSentences38
matches
0"She was wiping glasses behind"
1"It was Eva."
2"It was, unmistakably, Eva Whitfield,"
3"She was thinner, sharper somehow,"
4"Her hair, once a riot"
5"She wore a coat that"
6"She came around the bar,"
7"They'd been the sort of"
8"It sat on the table"
9"She wondered how many of"
10"They both laughed then, and"
11"She thought of the girl"
ratio0.316
12.63% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount34
totalSentences38
matches
0"The Raven's Nest was quiet"
1"Rain streaked the front windows"
2"She was wiping glasses behind"
3"The woman turned, and for"
4"Rory set down the glass"
5"It was Eva."
6"It was, unmistakably, Eva Whitfield,"
7"She was thinner, sharper somehow,"
8"Her hair, once a riot"
9"She wore a coat that"
10"Eva said, and there was"
11"She came around the bar,"
12"Rory gestured to a booth"
13"Rory brought over two glasses"
14"Some things you didn't forget"
15"Eva said, watching her pour"
16"Rory shrugged, like the sentence"
17"Eva agreed, and something flickered"
18"Eva turned her glass slowly"
19"Eva laughed, but it came"
ratio0.895
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences38
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences24
technicalSentenceCount7
matches
0"Rain streaked the front windows in long silver ropes, and the green neon sign outside bled its color across the wet pavement in a smear that looked, from the ri…"
1"Inside, the air smelled of old wood polish and cigarette smoke that had soaked into the walls decades before smoking indoors had been outlawed, a smell that nev…"
2"Rory set down the glass she was holding, slow, careful, as if sudden movement might scare the moment off before she could be sure of it."
3"It was, unmistakably, Eva Whitfield, the girl who used to sneak vodka into their sixth-form common room in a water bottle and dare Rory to drink it during regis…"
4"She was thinner, sharper somehow, her cheekbones cutting shadows under eyes that had once been quick to laugh and now looked like they were doing sums behind th…"
5"Rory gestured to a booth near the back, beneath a black-and-white photograph of Soho in the sixties, and Eva slid into it the way she used to slide into things …"
6"Rory looked at her — really looked — at the sharp lines of her face, the black hair, the coat, the careful stillness of her hands, and thought about all the ver…"
83.33% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount1
matches
0"Eva turned, not drinking"
95.95% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags9
fancyCount2
fancyTags
0"Eva agreed (agree)"
1"Rory repeated (repeat)"
dialogueSentences37
tagDensity0.243
leniency0.486
rawRatio0.222
effectiveRatio0.108
73.0157%