Run: 2026-07-25-01KYCPXFG90NBM7W5RSW83JXBA

Run Details

Duration:
45.6s
Cost:
$0.070165
Provider:
Amazon Bedrock

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <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> Continue the story using the following instructions: <instructions> 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. </instructions>

Model response

AI
The green neon buzzed like a trapped fly, and Aurora had stopped hearing it weeks ago. She was wiping down the far end of the bar because Silas had asked her to, and because it was Tuesday, and Tuesdays in Soho meant three regulars and a man in the corner who read paperbacks and drank halves of bitter for four hours. Then the door opened and let in a slice of wet street noise. "We're open till one," she said without looking up. "Good. I've been walking since Piccadilly." The voice went into her spine before her brain caught up. She set the cloth down. He'd got taller, which was absurd — nobody got taller after twenty-two — but he stood differently, that was it, shoulders back where they used to curve inward like a question. Camel coat, damp at the collar. Hair cropped close. The lanky boy who'd smoked out of her bedroom window in Cardiff and cried at a Welsh rugby match had been replaced by someone who looked like he owned property. "Dylan Reece," she said. "Rory Carter." He didn't smile. He looked at her the way you look at a photograph you'd forgotten you kept. "You're behind a bar." "You're in one." He came the length of the room and stopped, hands on the wood, and neither of them moved to embrace. Six years sat down on the stool between them. "Whisky," he said. "Whatever's decent and not sentimental." She poured him a Springbank because it was there and because he wouldn't know the difference. He turned the glass a quarter-turn before he drank, a new gesture, a learned one. "You look well," she said. "I look expensive. It's not the same thing." He drank. "You look like you haven't slept since 2019." "I deliver noodles four days a week." He laughed — one short bark, genuine, and for a second the old face came up through the new one like a body in water. "You what?" "Golden Empress. Wardour Street. Yu-Fei pays cash and doesn't ask questions." "Rory. You were going to be a barrister." "My father was going to be a barrister. He managed it. One per family seemed fair." "That's a line," Dylan said. "You've said that before. To other people." "Twice tonight." He set the glass down. Behind them the paperback man turned a page, and the radiator clanked, and Aurora found she wanted very badly for someone to order something complicated. "So what brings you," she said. "You didn't wander in off Old Compton Street by accident." "I did, actually." He reached into his coat, produced a folded card, laid it on the bar and slid it towards her with two fingers. Thick stock. Gold lettering. "Conference at the Sofitel. Compliance and regulatory frameworks. I'm speaking on Thursday about the aggregation of risk." "Are you good at it?" "I'm superb at it. It's very like lying, but with footnotes." He tapped the card. "I got out of the hotel because if I'd stayed I'd have drunk with a man called Gerald who tells the same story about Lehman Brothers. And then I saw a green sign and thought, that's a proper bar, the kind that doesn't have a mixologist." He looked up at the walls, the maps, the sepia strangers in their frames. "And then I saw you and thought I'd had a stroke." "You could have kept walking." "I thought about it," he said. The honesty of it landed harder than anything else he'd said. She picked up the cloth again, put it down again. "Eva said you'd gone to Singapore." "Eva said. Right. Eva." He turned the glass. "Hong Kong first. Then Singapore. Now Zurich, which is Singapore with better chocolate and worse people." He paused. "Eva still speaks to you, then." "She's the reason I'm in London." "She's the reason you didn't call." "Dylan." "No, that's fine. That's — I'm not litigating it." He drank the rest and pushed the glass forward an inch, and she filled it without being asked, and that at least was the same as it had ever been. "I rang your mother once. Two years ago. Jennifer. She was very kind and very Welsh about it and told me nothing at all for eleven minutes." "She's good at that." "She said you were 'finding your feet.'" He looked around the room. "Is this the feet?" "Careful." "I'm not being cruel. I'm being — " He stopped. Rubbed his thumb along the edge of the bar. "I don't know what I'm being. I had a whole speech. I've had it since about 2020. It was much better than this." "Say it anyway." "It doesn't work in the room. That's the thing about speeches." He looked at her properly then, and the expensive face fell off him entirely. "You just stopped, Rory. That's the whole speech, actually, that's the sum of it. One February you were in my kitchen eating my cereal and telling me Evan was fine, he was fine, he'd had a bad week, and then you were gone and my texts were going into a hole in the ground. And I thought, right, she'll surface. And then I got a job offer and thought, well, she'll surface and I'll be in Hong Kong and she'll laugh about that. And then it was three years and I'd stopped checking." "You didn't stop checking." "No," he said. "I didn't stop checking." Aurora put both hands flat on the wood. There was a burn mark near her left thumb from a cigarette some year before she'd worked there. "I couldn't call anyone from that flat," she said. "He read my phone in bed. He'd hold it up in the dark and read it out loud in this voice, this cheerful voice, like he was doing a bit. And afterwards there'd be a discussion about it and the discussion would last until four in the morning." She kept her eyes on the burn mark. "So I stopped writing anything down. Anywhere. To anyone. And by the time I could, it had been long enough that calling you would have meant explaining, and I couldn't — " She stopped. "There wasn't a version where I rang you and it was small." Dylan didn't say anything for a while. The paperback man got up, put coins on his table like a man from another century, and let the wet street back in on his way out. "I'd have come," Dylan said. "I know." "I'd have got in the car." "I know. That's why I didn't ring." "That's — " He pressed the heel of his hand against his eye, briefly, and took it away. "That's a monstrous thing to say to somebody." "Yes." "You let me be a person you were protecting instead of a person who helped." "Yes." "Christ, Rory." "I've had six years to find a nicer way to phrase it," she said. "There isn't one." He laughed again, wetly, and shook his head at the whisky. "I bought a flat in Zurich with a spare room. I don't know anyone in Zurich. My mother's dead, my sister's in Perth. I bought a spare room in a city where nobody I love will ever need to sleep." He looked up. "And I stood in it in March and I thought about you. Which is embarrassing, and I'd deny it in front of witnesses." Behind Aurora, at the back of the room, the bookshelf gave its small dry click — Silas coming out, or going in; she didn't turn to check. She reached under the bar, took a second glass, and poured herself one, which she never did. "To the spare room," she said. "That's grim." "It's the best I've got." She raised it anyway. "I'm sorry, Dylan. That's the whole speech. I've had it since about 2020 and it doesn't work in the room either."
created_at"2026-07-25T13:19:59.503Z" 7/25/2026, 1:19:59 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1335
moderation_latency(null)
generation_time45011
tokens_prompt1063
tokens_completion1825
native_tokens_prompt1548
native_tokens_completion2497
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"
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provider_responses
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is_byokfalse
latency1333
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_011CdNqt8hNsgcNmv6pjEnMs"
total_cost0.070165
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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
totalTags28
adverbTagCount1
adverbTags
0"He looked around [around]"
dialogueSentences72
tagDensity0.389
leniency0.778
rawRatio0.036
effectiveRatio0.028
84.71% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1308
totalAiIsmAdverbs4
found
0
adverb"very"
count4
highlights
0"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)
100.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1308
totalAiIsms0
found(empty)
highlights(empty)
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
narrationSentences57
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences57
filterMatches
0"look"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences101
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen93
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1319
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions33
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions17
wordCount600
uniqueNames11
maxNameDensity0.67
worstName"Aurora"
maxWindowNameDensity1
worstWindowName"Aurora"
discoveredNames
Aurora4
Silas2
Tuesday1
Tuesdays1
Soho1
Cardiff1
Welsh1
Springbank1
Thick1
Rubbed1
Dylan3
persons
0"Aurora"
1"Silas"
2"Dylan"
places
0"Soho"
1"Cardiff"
2"Welsh"
globalScore1
windowScore1
66.67% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences30
glossingSentenceCount1
matches
0"looked like he owned property"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1319
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences101
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs61
mean21.62
std26.18
cv1.211
sampleLengths
061
113
29
36
416
570
64
724
83
929
108
1131
125
1318
147
1527
1611
178
1816
1912
202
2130
2216
2346
245
2586
265
276
2821
296
3032
316
326
331
3466
354
3616
371
3842
393
40118
414
427
4326
44111
4534
465
472
486
497
92.95% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences57
matches
0"been replaced"
1"being asked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs120
matches
0"was wiping"
57.99% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount1
flaggedSentences3
totalSentences101
ratio0.03
matches
0"He'd got taller, which was absurd — nobody got taller after twenty-two — but he stood differently, that was it, shoulders back where they used to curve inward like a question."
1"He laughed — one short bark, genuine, and for a second the old face came up through the new one like a body in water."
2"Behind Aurora, at the back of the room, the bookshelf gave its small dry click — Silas coming out, or going in; she didn't turn to check."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount598
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.03678929765886288
lyAdverbCount7
lyAdverbRatio0.011705685618729096
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences101
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences101
mean13.06
std13.97
cv1.07
sampleLengths
016
145
213
39
46
511
65
731
86
93
1030
114
125
1315
144
153
1620
179
183
195
2016
2115
225
2310
248
257
2625
272
2811
298
3016
315
327
332
345
3525
366
3710
3825
392
402
4117
425
4315
4460
4511
465
476
4811
4910
54.46% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.38613861386138615
totalSentences101
uniqueOpeners39
83.33% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences40
matches
0"Then the door opened and"
ratio0.025
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences40
matches
0"She was wiping down the"
1"she said without looking up"
2"She set the cloth down."
3"He'd got taller, which was"
4"He didn't smile"
5"He looked at her the"
6"He came the length of"
7"She poured him a Springbank"
8"He turned the glass a"
9"He laughed — one short"
10"He set the glass down."
11"He reached into his coat,"
12"He tapped the card"
13"He looked up at the"
14"She picked up the cloth"
15"He turned the glass"
16"He drank the rest and"
17"He looked around the room"
18"He looked at her properly"
19"She kept her eyes on"
ratio0.625
35.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount34
totalSentences40
matches
0"The green neon buzzed like"
1"She was wiping down the"
2"she said without looking up"
3"The voice went into her"
4"She set the cloth down."
5"He'd got taller, which was"
6"Camel coat, damp at the"
7"Hair cropped close."
8"The lanky boy who'd smoked"
9"He didn't smile"
10"He looked at her the"
11"He came the length of"
12"She poured him a Springbank"
13"He turned the glass a"
14"He laughed — one short"
15"He set the glass down."
16"He reached into his coat,"
17"He tapped the card"
18"He looked up at the"
19"The honesty of it landed"
ratio0.85
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences40
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences19
technicalSentenceCount1
matches
0"She was wiping down the far end of the bar because Silas had asked her to, and because it was Tuesday, and Tuesdays in Soho meant three regulars and a man in th…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags28
uselessAdditionCount1
matches
0"He looked up, the maps, the sepia strangers in their frames"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags14
fancyCount2
fancyTags
0"He drank (drink)"
1"He pressed (press)"
dialogueSentences72
tagDensity0.194
leniency0.389
rawRatio0.143
effectiveRatio0.056
85.8369%