Run: 2026-04-24-01KPZV4MXBBGFFV2TNXNK0A6K9

Run Details

Duration:
26.4s
Cost:
$0.057415
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 green neon sign hummed its familiar greeting as Rory shouldered through the door of the Raven's Nest, rain stippling her jacket, the delivery satchel still slung across her chest. She hadn't meant to stop. She had meant to climb the narrow stairs to her flat, peel off her wet clothes, and fall face-first into the mattress she'd been promising herself for eight hours. But the bar smelled of woodsmoke and whisky, and Silas had lit the lamps low, and some nights the difference between crossing a threshold and not crossing it was just the weather. She hung her jacket on the hook by the door and raised two fingers at Silas behind the bar. He nodded once, the signet ring catching amber in the lamp-light, and reached for the Redbreast without asking. That was the thing about Silas. He never asked. Which was why, when she turned toward the booths at the back, she didn't notice the woman at the bar until the woman said her name. "Aurora?" Rory stopped. It was the full name that did it — no one in London used the full name. In London she was Rory, short and sharp as a coin dropped on glass. Aurora belonged to a different country, a different decade, a different girl. She turned. The woman at the bar had short blonde hair where there had once been long brown, and a tattoo climbing out of the collar of a black turtleneck, and a kind of sharpness at the jaw that Rory didn't recognize. But the eyes — the eyes were Meg's. Hazel, too wide, always a little too ready to be hurt. "Meg," Rory said. The word came out flat, as if she were identifying a body. "I thought it was you." Meg's smile was careful, a thing held at arm's length. "I wasn't sure. You've — your hair." "Yeah." "Black suits you." "Thanks." Rory slid onto the stool beside her because standing felt worse. Silas set down the whisky without looking at either of them, and moved off to the other end of the bar with the instinctive tact of a man who had spent thirty years knowing when to vanish. "You live in London now?" Meg asked. "Above here, actually." "Above the bar?" "Silas lets the flat to me." Meg's eyebrows flicked up — a small, automatic gesture Rory had seen her make a thousand times over college essays, over bad dates, over the news that Rory was moving in with Evan. *That* eyebrow. It had always been the most honest thing about her. "And you?" Rory said, before the silence could settle. "Conference. Publishing." Meg turned the stem of her wine glass between two fingers. "I'm with Harrow and Keene now. Nonfiction. I just — I was walking back to the hotel and the sign looked like a place a person could have a drink without being spoken to." "You picked wrong." "I did." Meg laughed, and for a second she was twenty and barefoot on the kitchen tiles of the flat in Cathays, laughing at something Rory had said about a tutor, and Rory had to look down at her whisky because the laugh was exactly the same and nothing else was. "You look good," Meg said. "I look like I've been running." "Are you running?" Rory lifted the glass. "Not tonight." Meg watched her, and Rory watched Meg watch her, and the years between them sat down on the stool on the other side and ordered something expensive. "I tried to call you," Meg said. "After. A few times. That spring." "I know." "You didn't pick up." "I know." Meg nodded, slowly, as if she had rehearsed receiving this answer and was surprised to find it still cut. "Eva told me what happened. Not the details. Just — enough. She told me you'd gone to London and I wasn't to ask." "Eva's loyal." "Eva was always loyal to you. I was loyal to you." "I know that too," Rory said, and then, because it was true and because the whisky was loosening something in her chest that had been clenched for four years: "I didn't pick up because you sounded like Cardiff. And I couldn't hear Cardiff then. I couldn't hear any of it." Meg's mouth did a complicated thing. "I sounded like Cardiff." "You sounded like the flat. You sounded like the kitchen. You sounded like that party at Rhys's where Evan —" She stopped. She hadn't said his name aloud in a long time, and the shape of it in her mouth was smaller than she remembered. "I couldn't afford to hear it. I'm sorry." "You don't have to be sorry." "I am, though." "I know." They sat with that. Somewhere in the back of the bar a man laughed, and a glass clinked, and the rain at the window ticked against itself like a patient clock. "You cut your hair," Rory said finally. "Three years ago. After Dad." "Oh. Meg. I'm sorry." "Yeah. Well. You didn't know." Meg smiled, and the smile held a long history of not being told things. "There's a lot we didn't know about each other, the last few years. I've been trying to make peace with that." "Are you? Making peace?" "I'm making something." Meg tilted her glass, watched the wine walk the inside. "Some nights it's peace. Some nights it's a list." "Am I on the list?" "You were the list, for a while." Rory looked at her then, properly — at the blonde hair that didn't suit her, at the tattoo that did, at the mouth she had once known the exact weather of. She wanted to say *I thought about you every week*, which was true. She wanted to say *I was ashamed*, which was also true. She wanted to say *I walked past a bookshop window in Bloomsbury last autumn and saw a book you'd edited and stood there for twenty minutes pretending to read the back*, which was the truest of all. What she said was, "Can I buy you another glass?" Meg considered her, and the consideration was the old consideration, weighing and patient and entirely without mercy. "Yes," she said. "But slowly." Rory raised two fingers again, and Silas, from the far end of the bar, nodded without turning, as if he had been listening all along and knew exactly what slowly meant.
created_at"2026-04-24T13:33:48.344Z" 4/24/2026, 1:33:48 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency637
moderation_latency(null)
generation_time26298
tokens_prompt867
tokens_completion1543
native_tokens_prompt1243
native_tokens_completion2048
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"
usage0.057415
router(null)
provider_responses
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endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"78d82b32-0f7e-4753-b1ae-28abf71172fa"
is_byokfalse
latency637
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-1777037628-KJw2rNFkXwv21PR2fhLL"
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api_type"completions"
id"gen-1777037628-KWjZ4eDY7AUipUKq5i9H"
upstream_id"78d82b32-0f7e-4753-b1ae-28abf71172fa"
total_cost0.057415
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
totalTags15
adverbTagCount1
adverbTags
0"Rory said finally [finally]"
dialogueSentences48
tagDensity0.313
leniency0.625
rawRatio0.067
effectiveRatio0.042
85.84% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1059
totalAiIsmAdverbs3
found
0
adverb"slowly"
count3
highlights
0"slowly"
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)
81.11% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1059
totalAiIsms4
found
0
word"familiar"
count1
1
word"flicked"
count1
2
word"eyebrow"
count1
3
word"silence"
count1
highlights
0"familiar"
1"flicked"
2"eyebrow"
3"silence"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
91.67% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells2
narrationSentences50
matches
0"was surprised"
1"was ashamed"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences50
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences83
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen51
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans4
markdownWords37
totalWords1066
ratio0.035
matches
0"That"
1"I thought about you every week"
2"I was ashamed"
3"I walked past a bookshop window in Bloomsbury last autumn and saw a book you'd edited and stood there for twenty minutes pretending to read the back"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions16
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions45
wordCount772
uniqueNames10
maxNameDensity2.2
worstName"Rory"
maxWindowNameDensity5
worstWindowName"Meg"
discoveredNames
Rory17
Raven1
Nest1
Silas5
Redbreast1
London2
Meg15
Evan1
Cathays1
Bloomsbury1
persons
0"Rory"
1"Raven"
2"Nest"
3"Silas"
4"Meg"
5"Evan"
places
0"London"
1"Bloomsbury"
globalScore0.399
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences36
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1066
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences83
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs53
mean20.11
std22.85
cv1.136
sampleLengths
096
146
226
31
445
52
659
715
822
91
103
1149
127
133
143
156
1645
179
1847
193
2051
215
226
233
246
2527
2613
272
284
292
3042
312
3211
3350
3410
3553
366
373
382
3931
407
415
424
4340
444
4522
465
477
4892
4910
77.19% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences50
matches
0"was surprised"
1"been clenched"
2"being told"
3"was ashamed"
44.96% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs129
matches
0"were identifying"
1"was moving"
2"was loosening"
5.16% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences4
totalSentences83
ratio0.048
matches
0"It was the full name that did it — no one in London used the full name."
1"But the eyes — the eyes were Meg's."
2"Meg's eyebrows flicked up — a small, automatic gesture Rory had seen her make a thousand times over college essays, over bad dates, over the news that Rory was moving in with Evan."
3"Rory looked at her then, properly — at the blonde hair that didn't suit her, at the tattoo that did, at the mouth she had once known the exact weather of."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount606
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.02145214521452145
lyAdverbCount2
lyAdverbRatio0.0033003300330033004
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences83
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences83
mean12.84
std11.91
cv0.927
sampleLengths
030
15
229
332
419
518
66
73
826
91
102
1117
1214
1312
142
1540
168
1711
183
1912
2015
217
221
233
2412
2537
267
273
283
296
3033
312
3210
339
3413
3534
363
3751
385
396
403
414
422
4327
447
456
462
474
482
4919
58.63% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.40963855421686746
totalSentences83
uniqueOpeners34
79.37% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences42
matches
0"Somewhere in the back of"
ratio0.024
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount12
totalSentences42
matches
0"She hadn't meant to stop."
1"She had meant to climb"
2"She hung her jacket on"
3"He nodded once, the signet"
4"He never asked."
5"It was the full name"
6"It had always been the"
7"She hadn't said his name"
8"They sat with that."
9"She wanted to say *I"
10"She wanted to say *I"
11"She wanted to say *I"
ratio0.286
31.43% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount36
totalSentences42
matches
0"The green neon sign hummed"
1"She hadn't meant to stop."
2"She had meant to climb"
3"She hung her jacket on"
4"He nodded once, the signet"
5"That was the thing about"
6"He never asked."
7"It was the full name"
8"Aurora belonged to a different"
9"The woman at the bar"
10"Hazel, too wide, always a"
11"The word came out flat,"
12"Meg's smile was careful, a"
13"Rory slid onto the stool"
14"Silas set down the whisky"
15"Meg's eyebrows flicked up —"
16"It had always been the"
17"Rory said, before the silence"
18"Meg turned the stem of"
19"Meg laughed, and for a"
ratio0.857
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences42
matches(empty)
ratio0
28.57% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences25
technicalSentenceCount4
matches
0"Silas set down the whisky without looking at either of them, and moved off to the other end of the bar with the instinctive tact of a man who had spent thirty y…"
1"Meg nodded, slowly, as if she had rehearsed receiving this answer and was surprised to find it still cut."
2"She wanted to say *I walked past a bookshop window in Bloomsbury last autumn and saw a book you'd edited and stood there for twenty minutes pretending to read t…"
3"Rory raised two fingers again, and Silas, from the far end of the bar, nodded without turning, as if he had been listening all along and knew exactly what slowl…"
91.67% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags15
uselessAdditionCount1
matches
0"Meg smiled, and the smile held a long history of not being told things"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags10
fancyCount1
fancyTags
0"Meg laughed (laugh)"
dialogueSentences48
tagDensity0.208
leniency0.417
rawRatio0.1
effectiveRatio0.042
79.1867%