Run: 2026-07-25-01KYCR6SDFCBRQSMK5E2ANRD3G

Run Details

Duration:
1m 10s
Cost:
$0.104140
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
Rain had turned the neon green, then greener, running down the window in long lit threads, and Rory watched it while she counted her tips on the bar, which was a thing Silas allowed only because she'd never once asked permission. Eleven pounds forty in coins. A folded fiver with a phone number on it, which she left in the ashtray they used for bottle caps. "Slow night," Silas said. He was drying glasses with a towel that had been white in some earlier era. The signet ring caught the lamplight each time his hand turned, a small silver wink, over and over, like a lighthouse. "It's Tuesday. In November." "That's my point. Tuesday in November is a good night for a bar." He set the glass on the shelf, rim down. "Nobody comes in on a Tuesday in November unless they mean it." The door went. Cold came in first, and the smell of wet pavement and someone else's cigarette, and then a woman in a camel coat shaking out an umbrella that had clearly been bought at a station, one spoke bent into a shrug. She looked around the room the way people did the first time — the walls furred with old maps, Antwerp and the Hindu Kush and a nautical chart of the Skagerrak, the black-and-white photographs of men in bad suits standing in front of buildings that no longer existed. She looked at the bar. She looked at Rory. "Oh my God," said Meredith Pugh. "Rory Carter." Rory's hands went still over her coins. It was one of those moments where the body decides before the mind does: her shoulders had already dropped, her weight had already shifted to the balls of her feet, and some small vicious part of her had already measured the distance to the door. "Merry." "Merry." Merry laughed, a short disbelieving bark. "Nobody's called me that in — God. Years." She came forward with her hand out, then thought better of it halfway and turned it into a hug, awkward across the bar stool, her wet coat cold against Rory's forearm. She smelled of nothing. That was the first strange thing. Merry Pugh had always smelled of Marlboro Lights and Impulse body spray and the inside of a taxi. "You're in London," Rory said. "Two days. Conference at the Bloomsbury, all about trauma-informed intake, which sounds like nothing and is actually everything, and I got out of the drinks thing early because I can't do drinks things, and I walked, and it was raining, and there was a green sign." She unbuttoned her coat. Underneath it was a jumper the colour of oatmeal and, on her left hand, a wedding band, thin, worn thin, worn every day. "Are you working? Are you the barmaid? Rory Carter, barmaid." "No. I live upstairs." She gathered the coins into her palm. "I deliver food. Golden Empress, on Gerrard Street. Best sweet-and-sour in the city and I'll fight anyone who says otherwise." She watched Merry's face do the arithmetic. It did it quickly and hid it badly. "Right," Merry said. "Good. That's — you always said you'd rather do anything than law." "I did say that." Silas set a glass of water in front of Merry without being asked, the lemon already in it, and moved down the bar to the till, where he became furniture. He had a genius for that. Rory had watched him do it to a Home Office undersecretary once, become so thoroughly a piece of the room that the man had said things he shouldn't have for forty minutes straight. "You look well," Rory said, and meant it, and it came out like an accusation anyway. "I look older." "You look like someone who sleeps." "Six years sober in February," Merry said, matter-of-fact, the way you'd say the boiler was serviced in February. "And there's a two-year-old, so the sleeping's a lie, but yes." She turned the water glass a quarter-turn on the wood. "I'm at Cardiff Women's Aid. Intake and advocacy. I do the first conversation. The one where they come in and they don't know what to call it yet." Rory looked at her. Merry Pugh, who had once driven a Fiesta into a bollard outside the Students' Union at four in the morning and laughed so hard she wet herself. Merry Pugh, who had lost two phones in one week and never found either. Merry Pugh, in oatmeal, doing the first conversation. "That's good work," Rory said. "It's the only work." Merry drank some water. "God, it's a weird thing to say to you." "Why." There it was, then: the pause with weight in it, the kind that has a shape, that you could put your hand on. Behind Rory, the fridge hummed. Somewhere in the back a pipe ticked as it cooled. "Because I was rubbish," Merry said. "Merry—" "No, let me. I've had this conversation in my head about four hundred times and it's always in a café, so a bar's fitting, isn't it." She laughed without anything in it. "Spring, final year. You came round mine on a Sunday and you had your sunglasses on inside and your lip was — and you said you'd walked into the wardrobe door." "I did walk into a wardrobe door." "And I said, God, Rory, you absolute liability, and I made you a coffee and I put a film on and I didn't ask you one single question. Not one." Merry's thumb went round the rim of the glass. "And three weeks later you were gone. Gone gone. Eva said London and everyone said London and your mam wouldn't say anything to anyone, and I remember thinking — I remember thinking, she could have said goodbye." Rory put the coins in her pocket. It took her longer than it needed to. "I couldn't," she said. "I know. I know that now. It's literally my job to know it now. I sit in a room and a woman tells me she walked into a wardrobe door and I think about you, every single time, and I ask the question." Merry's eyes were wet and she was ignoring it with great professionalism. "I got very good at asking the question because of you. Which is a horrible thing to owe someone." The rain thickened against the glass. Out on the street two men went past under one jacket held over their heads, shouting at each other cheerfully. "You weren't rubbish," Rory said. "You were nineteen." "I was twenty-one." "You were nineteen in your soul." Merry snorted, and something in the room let go a notch. Rory turned her wrist over on the bar without deciding to, the small crescent scar white against the skin, and Merry saw it and her whole face changed, softened into something younger. "The tree," she said. "The tree." "That branch was rotten. I still say it. I've said it at parties. I say, my friend Rory nearly died in the Ellises' garden because of arboreal negligence, and nobody ever laughs." "Nobody laughs because you tell it too long." "I tell it exactly the right length." They sat with it. It was easy for four seconds and then it wasn't, because that was the thing nobody told you about old friends: the easiness was still in there, perfectly preserved, and you could reach it, and then you had to come back up through six years of water. "He's engaged," Merry said. Rory didn't move. She was aware of Silas, thirty feet away, not looking up, and of her own pulse, unhurried, and of the fact that she was not afraid, which was itself a piece of information she filed away for later, to take out and turn over when she was alone. "Okay," she said. "I wasn't sure whether to. I've been standing at that door for about a minute deciding." "No, it's — okay." Rory reached for a coaster, and Silas' pen, which lived behind the till and which Silas would want back. She wrote seven digits, then her name, because she had learned to sign things. "That's me. I'm terrible at phones. I'll answer eventually." Merry took it and looked at it a long moment, as though it were a document she had to certify. "You changed," she said. "So did you." "Yeah, but I got better." Merry put the coaster in her coat pocket, carefully, all the way down. "You got harder." "Same thing," Rory said, "from the outside." Merry left the water half-finished and the umbrella behind, and at the door she turned and said, "Sunday, though. You'd have liked me on the Sunday," and was gone into the green light and the rain. Silas came down the bar. He picked up the abandoned glass and looked into it for a while, the way other men looked at the sea. "Old friend," Rory said. "Yes," he said. "You can always tell. Nobody else gets to hurt you that tidily." He put the glass in the sink. "Upstairs. I'll bring you something hot and you can tell me nothing about it." She went, taking the umbrella with her, one spoke bent, ridiculous, hers now.
created_at"2026-07-25T13:42:33.145Z" 7/25/2026, 1:42:33 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4378
moderation_latency(null)
generation_time69117
tokens_prompt846
tokens_completion2644
native_tokens_prompt1238
native_tokens_completion3918
native_tokens_completion_images(null)
native_tokens_reasoning502
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"
usage0.10414
router(null)
provider_responses
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endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNsbv5dn597dkToTQUp7"
is_byokfalse
latency1255
model_permaslug"anthropic/claude-opus-5-20260723"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
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request_id"req-1784986953-K6I819Nyq8OMhiKKB9S6"
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api_type"completions"
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upstream_id"msg_011CdNsbv5dn597dkToTQUp7"
total_cost0.10414
cache_discount(null)
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
totalTags30
adverbTagCount0
adverbTags(empty)
dialogueSentences61
tagDensity0.492
leniency0.984
rawRatio0
effectiveRatio0
86.90% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1527
totalAiIsmAdverbs4
found
0
adverb"quickly"
count1
1
adverb"very"
count1
2
adverb"perfectly"
count1
3
adverb"carefully"
count1
highlights
0"quickly"
1"very"
2"perfectly"
3"carefully"
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)
86.90% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1527
totalAiIsms4
found
0
word"weight"
count2
1
word"measured"
count1
2
word"pulse"
count1
highlights
0"weight"
1"measured"
2"pulse"
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
narrationSentences74
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences74
filterMatches(empty)
hedgeMatches(empty)
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
maxSentenceWordsSeen55
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1533
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions41
unquotedAttributions0
matches(empty)
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions59
wordCount933
uniqueNames17
maxNameDensity2.04
worstName"Merry"
maxWindowNameDensity4.5
worstWindowName"Merry"
discoveredNames
Rory17
Silas5
Antwerp1
Hindu1
Kush1
Skagerrak1
Meredith1
Pugh5
Marlboro1
Lights1
Impulse1
Underneath1
Merry19
Home1
Office1
February1
Fiesta1
persons
0"Rory"
1"Silas"
2"Meredith"
3"Pugh"
4"Merry"
places
0"Antwerp"
1"Home"
2"February"
globalScore0.482
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences47
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1533
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences103
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs60
mean25.55
std23.64
cv0.925
sampleLengths
041
125
240
34
434
543
657
78
852
91
1074
115
1283
1331
1415
1515
164
1769
1816
193
206
2167
2253
235
2417
251
2638
276
281
2963
307
3176
3215
334
3474
3526
368
373
3849
394
402
4132
428
437
4451
454
4651
473
4816
4946
86.30% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences74
matches
0"been bought"
1"being asked"
2"was serviced"
3"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs160
matches
0"was drying"
1"was ignoring"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences103
ratio0.01
matches
0"She looked around the room the way people did the first time — the walls furred with old maps, Antwerp and the Hindu Kush and a nautical chart of the Skagerrak, the black-and-white photographs of men in bad suits standing in front of buildings that no longer existed."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount884
adjectiveStacks0
stackExamples(empty)
adverbCount34
adverbRatio0.038461538461538464
lyAdverbCount9
lyAdverbRatio0.010180995475113122
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
mean14.88
std13.46
cv0.904
sampleLengths
041
15
220
34
415
521
64
722
812
93
1040
1148
125
134
146
152
167
1745
181
197
2039
214
226
2318
245
2550
2623
2710
2811
2920
307
318
323
3312
344
3530
366
3733
3816
393
406
4118
4221
4328
444
4527
4614
478
485
498
55.66% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.39805825242718446
totalSentences103
uniqueOpeners41
55.56% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences60
matches
0"Somewhere in the back a"
ratio0.017
66.67% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences60
matches
0"He was drying glasses with"
1"He set the glass on"
2"She looked around the room"
3"She looked at the bar."
4"She looked at Rory."
5"It was one of those"
6"She came forward with her"
7"She smelled of nothing."
8"She unbuttoned her coat"
9"She gathered the coins into"
10"She watched Merry's face do"
11"It did it quickly and"
12"He had a genius for"
13"She turned the water glass"
14"She laughed without anything in"
15"It took her longer than"
16"They sat with it."
17"It was easy for four"
18"She was aware of Silas,"
19"She wrote seven digits, then"
ratio0.383
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount41
totalSentences60
matches
0"Rain had turned the neon"
1"A folded fiver with a"
2"He was drying glasses with"
3"The signet ring caught the"
4"He set the glass on"
5"The door went."
6"She looked around the room"
7"She looked at the bar."
8"She looked at Rory."
9"Rory's hands went still over"
10"It was one of those"
11"She came forward with her"
12"She smelled of nothing."
13"That was the first strange"
14"She unbuttoned her coat"
15"She gathered the coins into"
16"She watched Merry's face do"
17"It did it quickly and"
18"Silas set a glass of"
19"He had a genius for"
ratio0.683
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences60
matches(empty)
ratio0
77.92% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount2
matches
0"Rain had turned the neon green, then greener, running down the window in long lit threads, and Rory watched it while she counted her tips on the bar, which was …"
1"Cold came in first, and the smell of wet pavement and someone else's cigarette, and then a woman in a camel coat shaking out an umbrella that had clearly been b…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags30
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags19
fancyCount3
fancyTags
0"Merry laughed (laugh)"
1"She came forward (come forward)"
2"She laughed (laugh)"
dialogueSentences61
tagDensity0.311
leniency0.623
rawRatio0.158
effectiveRatio0.098
87.7525%