Run: 2026-07-01-01KWE9NDR4YSBPA50EM99SPK82

Run Details

Duration:
43.1s
Cost:
$0.030846
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 followed Rory all the way from Chinatown, needling through her jacket until the fabric clung cold against her shoulders. She ducked beneath the green neon glow of The Raven's Nest, shook the water from her hair, and pushed through the door into the amber hush of the bar. It smelled the way it always did—whisky and beeswax, old paper going soft at the edges. The maps on the walls had absorbed decades of cigarette smoke that no longer existed, and the black-and-white photographs watched her from their frames like a jury that had already reached its verdict. She lifted a hand to Silas, who was polishing a glass behind the bar with the patient, unhurried motion of a man who had learned long ago that most problems solved themselves if you gave them enough silence. He nodded back, and that was the whole conversation. It was usually enough. She was three steps toward the stairs to her flat when she heard her name—not Rory, not Carter, but the full weight of it, Aurora, said the way it used to be said, with the stress falling wrong, like a foreign coin spent in the wrong currency. She turned. He was sitting in the corner booth beneath a photograph of the Thames in 1962, and for a moment she didn't recognize him, because the boy she remembered had been soft at the edges in a way this man wasn't. Then he smiled, and it was Tom Whitfield's smile, the same one that used to talk his way out of overdue library fines and into second helpings at his mother's table, and something in her chest folded inward. "Tom." "God. Aurora Carter." He stood, and she saw he'd filled out, the way men do when they stop being boys without anyone announcing it. A good coat. A wedding ring. "I thought—I mean, I heard you'd left Cardiff, but I didn't think you'd left the *country*." "I didn't, really. Just the city." She let him hug her, brief and awkward, the kind of embrace that measures the distance it's trying to close. He smelled of cologne that cost more than her rent used to. "What are you doing in London?" "Conference. Insurance law, if you can believe it. I turned into exactly the person we swore we'd never become." He laughed, but there was something checking itself behind the sound. "Sit, sit. Let me buy you a drink. God, it's been—what, six years?" "Seven." She sat. She hadn't meant to say it so precisely, but the number had been living in her for a while, apparently, waiting for someone to ask. He ordered for both of them without thinking, the way old friends do, and got it wrong—she didn't drink gin anymore, hadn't in years, not since a night in a flat in Canton that she didn't like to remember—but she let it sit in front of her anyway, sweating a ring onto the table. "You look—" Tom stopped, seemed to reconsider the sentence entirely. "You look well. Different. Good different. I don't know. You used to wear your hair long." "It got in the way." "Of what?" She smiled instead of answering, and something in his face flickered, the way it does when a person realizes a door has been quietly shut in front of them. "Your dad still terrifying every junior barrister in Cardiff?" he asked, retreating to safer ground. "Probably. We don't talk much." "Since Evan?" The name landed between them like a dropped glass, and she watched Tom immediately regret it, watched him replay whatever he'd heard secondhand—the version that had reached him through some chain of mutual friends, sanded down and rearranged until it was a story about a bad breakup instead of what it actually was. "Since before that," she said, and left it there, because there was no version of that story she was willing to hand him across a table in a bar he didn't belong in. He nodded slowly, as if he understood, though she doubted he did. "I always thought you'd end up a barrister. God, you were terrifying in seminars. Tore Professor Alcott's argument apart in front of the whole class once. I thought he was going to have a stroke." "That feels like someone else's life." "Doesn't it, though." He turned his glass in a slow circle on the table. "I think about it sometimes. Uni. How certain we were about everything. I got married, got the job, got the mortgage, and somewhere in there I stopped being certain about anything, but nobody tells you that's supposed to happen. What do you do now? For work, I mean." "I deliver food." She watched his face carefully, cataloguing the small, involuntary things it did—the flicker of surprise, quickly smoothed over, the reflexive kindness of *that's nothing to be ashamed of* forming and dying behind his eyes before he could say it aloud. "For a Chinese restaurant. Good tips, if you're fast." "Oh." A pause, delicate as a held breath. "That's—I didn't expect that." "No," she said. "I don't imagine you did." She could have told him more. She could have told him about the back room behind the bookshelf upstairs, about Silas and the things she'd learned to do with information, with silence, with the particular skill of becoming someone else entirely when a situation called for it—Malphora, when the job required a name with no history attached to it. She could have told him that the girl who tore apart Professor Alcott's argument hadn't disappeared so much as she'd been repurposed, sharpened into something with a different, quieter use. But he was looking at her the way you look at a photograph of someone you used to know, trying to find the original face beneath the one in front of you, and she understood that whatever she said now, he would only hear the parts that fit the story he already had. "We should get dinner sometime," he said, too brightly, already reaching for his phone. "While I'm in town. Catch up properly." "Sure," she said, and meant it exactly as much as he did, which was not at all, and they both smiled like people who'd agreed on something, and neither of them wrote the other's number down.
created_at"2026-07-01T07:35:29.297Z" 7/1/2026, 7:35:29 AM
model"anthropic/claude-sonnet-5-20260630"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4800
moderation_latency142
generation_time42878
tokens_prompt867
tokens_completion1862
native_tokens_prompt1238
native_tokens_completion2837
native_tokens_completion_images(null)
native_tokens_reasoning332
native_tokens_cached0
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num_media_completion0
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origin"https://ncbench.com/"
is_byokfalse
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is_byokfalse
latency1793
model_permaslug"anthropic/claude-sonnet-5-20260630"
provider_name"Amazon Bedrock"
status200
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provider_name"Amazon Bedrock"
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data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags12
adverbTagCount0
adverbTags(empty)
dialogueSentences29
tagDensity0.414
leniency0.828
rawRatio0
effectiveRatio0
76.42% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1060
totalAiIsmAdverbs5
found
0
adverb"really"
count1
1
adverb"precisely"
count1
2
adverb"slowly"
count1
3
adverb"carefully"
count1
4
adverb"quickly"
count1
highlights
0"really"
1"precisely"
2"slowly"
3"carefully"
4"quickly"
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)
76.42% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1060
totalAiIsms5
found
0
word"silence"
count2
1
word"weight"
count1
2
word"flickered"
count1
3
word"flicker"
count1
highlights
0"silence"
1"weight"
2"flickered"
3"flicker"
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
emotionTells1
narrationSentences36
matches
0"the flicker of surprise"
63.49% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences36
filterMatches
0"look"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences52
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen56
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords7
totalWords1050
ratio0.007
matches
0"country"
1"that's nothing to be ashamed of"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions18
wordCount813
uniqueNames14
maxNameDensity0.37
worstName"Tom"
maxWindowNameDensity1
worstWindowName"Rory"
discoveredNames
Rory2
Chinatown1
Raven1
Nest1
Silas2
Carter1
Aurora1
Thames1
Tom3
Whitfield1
Canton1
Malphora1
Professor1
Alcott1
persons
0"Rory"
1"Raven"
2"Nest"
3"Silas"
4"Carter"
5"Aurora"
6"Tom"
7"Whitfield"
8"Alcott"
places
0"Chinatown"
1"Thames"
2"Canton"
globalScore1
windowScore1
66.67% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences30
glossingSentenceCount1
matches
0"r for a while, apparently, waiting for someon"
9.52% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords1.905
wordCount1050
matches
0"not Rory, not Carter, but the full weight of it, Aurora, said the way it used to be sa"
1"not Carter, but the full weight of it, Aurora, said the way it used to be sa"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences52
matches
0"understood that whatever"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs29
mean36.21
std31.67
cv0.875
sampleLengths
051
1100
247
32
478
51
646
744
843
928
1054
1126
125
132
1429
1515
165
172
1853
1933
2047
216
2262
2352
2412
258
26142
2721
2836
95.52% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences36
matches
0"been repurposed"
25.71% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs153
matches
0"was polishing"
1"was sitting"
2"was willing"
3"was looking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences6
totalSentences52
ratio0.115
matches
0"It smelled the way it always did—whisky and beeswax, old paper going soft at the edges."
1"She was three steps toward the stairs to her flat when she heard her name—not Rory, not Carter, but the full weight of it, Aurora, said the way it used to be said, with the stress falling wrong, like a foreign coin spent in the wrong currency."
2"He ordered for both of them without thinking, the way old friends do, and got it wrong—she didn't drink gin anymore, hadn't in years, not since a night in a flat in Canton that she didn't like to remember—but she let it sit in front of her anyway, sweating a ring onto the table."
3"The name landed between them like a dropped glass, and she watched Tom immediately regret it, watched him replay whatever he'd heard secondhand—the version that had reached him through some chain of mutual friends, sanded down and rearranged until it was a story about a bad breakup instead of what it actually was."
4"\"I deliver food.\" She watched his face carefully, cataloguing the small, involuntary things it did—the flicker of surprise, quickly smoothed over, the reflexive kindness of *that's nothing to be ashamed of* forming and dying behind his eyes before he could say it aloud."
5"She could have told him about the back room behind the bookshelf upstairs, about Silas and the things she'd learned to do with information, with silence, with the particular skill of becoming someone else entirely when a situation called for it—Malphora, when the job required a name with no history attached to it."
97.74% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount822
adjectiveStacks0
stackExamples(empty)
adverbCount35
adverbRatio0.04257907542579075
lyAdverbCount14
lyAdverbRatio0.0170316301703163
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences52
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences52
mean20.19
std16.42
cv0.813
sampleLengths
022
129
216
333
438
59
64
747
82
940
1038
111
1224
133
143
1516
1626
1712
186
1930
2013
213
2225
2354
2410
2516
265
272
2829
2915
305
312
3253
3333
3412
3535
366
3714
3848
3943
409
418
424
433
445
456
4653
4730
4853
4914
73.08% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.5192307692307693
totalSentences52
uniqueOpeners27
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences33
matches
0"Then he smiled, and it"
ratio0.03
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount24
totalSentences33
matches
0"She ducked beneath the green"
1"It smelled the way it"
2"She lifted a hand to"
3"He nodded back, and that"
4"It was usually enough."
5"She was three steps toward"
6"He was sitting in the"
7"He stood, and she saw"
8"She let him hug her,"
9"He smelled of cologne that"
10"He laughed, but there was"
11"She hadn't meant to say"
12"He ordered for both of"
13"She smiled instead of answering,"
14"he asked, retreating to safer"
15"she said, and left it"
16"He nodded slowly, as if"
17"He turned his glass in"
18"She watched his face carefully,"
19"She could have told him"
ratio0.727
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount31
totalSentences33
matches
0"The rain had followed Rory"
1"She ducked beneath the green"
2"It smelled the way it"
3"The maps on the walls"
4"She lifted a hand to"
5"He nodded back, and that"
6"It was usually enough."
7"She was three steps toward"
8"He was sitting in the"
9"He stood, and she saw"
10"A good coat."
11"A wedding ring."
12"She let him hug her,"
13"He smelled of cologne that"
14"He laughed, but there was"
15"She hadn't meant to say"
16"He ordered for both of"
17"Tom stopped, seemed to reconsider"
18"She smiled instead of answering,"
19"he asked, retreating to safer"
ratio0.939
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences33
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences17
technicalSentenceCount5
matches
0"The maps on the walls had absorbed decades of cigarette smoke that no longer existed, and the black-and-white photographs watched her from their frames like a j…"
1"She lifted a hand to Silas, who was polishing a glass behind the bar with the patient, unhurried motion of a man who had learned long ago that most problems sol…"
2"The name landed between them like a dropped glass, and she watched Tom immediately regret it, watched him replay whatever he'd heard secondhand—the version that…"
3"She could have told him that the girl who tore apart Professor Alcott's argument hadn't disappeared so much as she'd been repurposed, sharpened into something w…"
4"But he was looking at her the way you look at a photograph of someone you used to know, trying to find the original face beneath the one in front of you, and sh…"
83.33% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount1
matches
0"Tom stopped, seemed to reconsider the sentence entirely"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount1
fancyTags
0"He laughed (laugh)"
dialogueSentences29
tagDensity0.207
leniency0.414
rawRatio0.167
effectiveRatio0.069
72.2630%