Run: 2026-07-01-01KWE9KE24P1SP5R9P3KHTKEG7

Run Details

Duration:
33.0s
Cost:
$0.023536
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 rain had stopped by the time Rory pushed through the door of the Raven's Nest, but she still smelled it on her jacket—wet wool and city grime. Silas was behind the bar, polishing a glass he'd already polished twice, watching the door the way he always did, like he expected someone he shouldn't. She didn't think anything of the man at the far end until he turned his head. "Rory Carter," he said. "Christ." It took her a second. The beard threw her off, and the weight he'd put on, and something in his eyes that hadn't been there before—a kind of tiredness that sat behind them like sediment. But the voice was the same. Tom Whitfield's voice, unchanged since they were seventeen and skipping sixth-form French to smoke behind the leisure centre in Cardiff. "Tom." She said it like a question, though she knew. "Sit down, sit down." He kicked the stool next to him, nearly knocked it over. "God, look at you. London's done you good." "Has it?" She sat, mostly because her legs felt strange. "You look—" "Don't." He laughed, but it came out flat, scraped along the bottom. "I know what I look like." Silas set a glass down in front of her without asking, the way he always did, some dark amber thing she hadn't ordered but would drink anyway. He glanced at Tom, then at her, then found something urgent to do at the other end of the bar. "How long's it been?" Tom asked. "Seven years. Since your mum's—" She stopped herself, but he waved a hand. "Since Mum's funeral, yeah. You can say it." He turned his glass in a slow circle on the bar top, watching the liquid climb the sides. "You disappeared after that. Cardiff, London, wherever. Nobody had a number for you." "I didn't have a number for me, half the time." "Evan," he said, and it wasn't a question either. She felt the old flinch, small and automatic, in her wrist, the one with the crescent scar, though that scar had nothing to do with Evan at all. "That's done. Long done." "Good." He said it too fast, too hard, like he'd practiced saying it in case he ever got the chance. "Good. He was a—I never liked him. Told you that, didn't I? At the wedding thing, the engagement, whatever it was." "You told me a lot of things at that party." "Most of them true." She almost smiled. Almost. "You were going to Manchester. Sports science. You had a plan, Tom, you had, like, a spreadsheet." "Yeah, well." He drank. "Plans." "What happened?" He looked at her like the question physically cost him something, like he'd have to pay for the answer later. "Dad happened. Then Mum. Then the flat, and the debts nobody told me about till they were mine, and then—" He shrugged, a full-body gesture, shoulders up around his ears and dropping. "Here I am. Warehouse job in Deptford. Come in here sometimes 'cause it's quiet and Silas doesn't ask questions." "He doesn't," she agreed, glancing down the bar. Silas was very deliberately not looking at either of them, which was its own kind of listening. "You?" Tom asked. "Pre-law dropout makes good in London doing—what, exactly?" "Delivery. Chinese restaurant, mostly. Golden Empress, over on Gerrard Street." "Delivery." He said it slowly, testing the shape of it against what he remembered of her—the girl with the debate trophies, the girl their sixth-form tutor said would run the country someday, or at least sue it into submission. "Christ, Rory." "Life's funny." "Life's a bastard," he said, "is what it is," and there was something underneath it, some old grief riding shotgun on the joke, and for a second she saw seventeen-year-old Tom again, the one who used to cry at the end of films and pretend it was hay fever. "I think about it, you know," he said. "Us. Not—not like that. I mean the whole lot of us, back then. Everyone thought we'd all end up somewhere. Sarah's a solicitor now. Did you know that? Actual solicitor. And Priya's got the shop, doing well, and I'm—" He gestured at himself, at the bar, at nothing. "And you're doing takeaway deliveries in the rain." "It's not deliveries in the rain, Tom, it's—" She stopped. Started again. "It's fine. It's a job. I'm figuring things out." "At twenty-five." "People figure things out at twenty-five." "Some people had it figured at seventeen and lost it," he said, and there wasn't any bitterness in it, which somehow made it worse. Just fact, stated plainly, the way you'd say the sky was grey. She didn't have an answer for that. She turned her glass instead, the way he had, watching the light catch and slide. "I'm glad you're out," he said, after a while. "From Evan. From all that. Whatever else, that's—I'm glad." "Thanks." "Doesn't fix anything." "No," she said. "It doesn't." Silas reappeared then, refilled Tom's glass without being asked, gave Rory the kind of look that wasn't quite a question but left room for one. She shook her head, small, almost nothing, and he moved off again, down toward the far end where the neon sign bled green light through the front window and onto the wet pavement outside. "We should—" Tom started. "Yeah," she said, though neither of them finished it. Numbers, maybe. A promise to call. The kind of thing people said when they both understood it wouldn't happen, not because they didn't want it to, but because some part of them had already filed the other away, seven years ago, in a box marked *before*. "It was good seeing you," she said instead, and meant it, and let that be enough. He nodded, looking down into his glass like the answer to something might be floating in there. "Yeah. You too, Rory. Really." She finished what Silas had poured her, set the glass down soft against the wood, and didn't ask for his number, and he didn't ask for hers, and outside the rain started again, tapping against the window like it had something to say and had given up trying to find the words.
created_at"2026-07-01T07:34:24.091Z" 7/1/2026, 7:34:24 AM
model"anthropic/claude-sonnet-5-20260630"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2326
moderation_latency(null)
generation_time32991
tokens_prompt1094
tokens_completion1536
native_tokens_prompt1548
native_tokens_completion2044
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"
usage0.023536
router(null)
provider_responses
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endpoint_id"37b16f45-eeae-45f3-9b85-2137f7c6d61b"
id"msg_01M8v9v3BczofGghAT4x8uYz"
is_byokfalse
latency2326
model_permaslug"anthropic/claude-sonnet-5-20260630"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.17.0; linux; x64))"
http_referer(null)
request_id"req-1782891264-7m756nUF8oo0NKVkjNXh"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1782891264-7kPO51Vz0WKXnRXDpl59"
upstream_id"msg_01M8v9v3BczofGghAT4x8uYz"
total_cost0.023536
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
totalTags25
adverbTagCount2
adverbTags
0"She sat mostly [mostly]"
1"she said instead [instead]"
dialogueSentences52
tagDensity0.481
leniency0.962
rawRatio0.08
effectiveRatio0.077
80.75% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1039
totalAiIsmAdverbs4
found
0
adverb"very"
count1
1
adverb"deliberately"
count1
2
adverb"slowly"
count1
3
adverb"really"
count1
highlights
0"very"
1"deliberately"
2"slowly"
3"really"
80.00% AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0"Blackwood"
found
0"Sarah"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
95.19% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1039
totalAiIsms1
found
0
word"weight"
count1
highlights
0"weight"
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
narrationSentences50
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences50
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences77
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen52
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords1033
ratio0.001
matches
0"before"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions23
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions22
wordCount710
uniqueNames11
maxNameDensity0.99
worstName"Tom"
maxWindowNameDensity1.5
worstWindowName"Tom"
discoveredNames
Rory2
Raven1
Nest1
Whitfield1
French1
Cardiff1
Silas5
Tom7
Evan1
Started1
Numbers1
persons
0"Rory"
1"Raven"
2"Whitfield"
3"Silas"
4"Tom"
5"Evan"
6"Started"
places
0"Cardiff"
globalScore1
windowScore1
78.57% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences35
glossingSentenceCount1
matches
0"quite a question but left room for one"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1033
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences77
matches
0"let that be"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs44
mean23.48
std20.13
cv0.857
sampleLengths
054
116
25
361
410
523
612
718
847
96
1013
1139
1210
139
1432
1541
1610
174
1821
195
202
2171
2225
2311
2410
2541
262
2749
2864
2921
302
316
3236
3322
3418
351
363
375
3859
394
4055
4116
4222
4352
98.25% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences50
matches
0"being asked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs133
matches(empty)
31.54% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences3
totalSentences77
ratio0.039
matches
0"The rain had stopped by the time Rory pushed through the door of the Raven's Nest, but she still smelled it on her jacket—wet wool and city grime."
1"The beard threw her off, and the weight he'd put on, and something in his eyes that hadn't been there before—a kind of tiredness that sat behind them like sediment."
2"\"Delivery.\" He said it slowly, testing the shape of it against what he remembered of her—the girl with the debate trophies, the girl their sixth-form tutor said would run the country someday, or at least sue it into submission."
88.69% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount718
adjectiveStacks0
stackExamples(empty)
adverbCount38
adverbRatio0.052924791086350974
lyAdverbCount6
lyAdverbRatio0.008356545961002786
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences77
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences77
mean13.42
std12.06
cv0.899
sampleLengths
028
126
216
34
41
55
630
76
820
910
1015
118
1210
132
1412
156
1627
1720
186
1913
2026
2113
2210
239
2428
254
2620
2721
2810
294
303
311
3217
334
341
352
3620
3732
3819
398
4017
413
428
4310
4439
452
462
4749
488
4948
90.91% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.5844155844155844
totalSentences77
uniqueOpeners45
85.47% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences39
matches
0"Just fact, stated plainly, the"
ratio0.026
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences39
matches
0"She didn't think anything of"
1"It took her a second."
2"She said it like a"
3"He kicked the stool next"
4"She sat, mostly because her"
5"He laughed, but it came"
6"He glanced at Tom, then"
7"She stopped herself, but he"
8"He turned his glass in"
9"he said, and it wasn't"
10"She felt the old flinch,"
11"He said it too fast,"
12"She almost smiled."
13"He looked at her like"
14"He shrugged, a full-body gesture,"
15"she agreed, glancing down the"
16"He said it slowly, testing"
17"he said, and there was"
18"He gestured at himself, at"
19"he said, and there wasn't"
ratio0.718
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount37
totalSentences39
matches
0"The rain had stopped by"
1"Silas was behind the bar,"
2"She didn't think anything of"
3"It took her a second."
4"The beard threw her off,"
5"Tom Whitfield's voice, unchanged since"
6"She said it like a"
7"He kicked the stool next"
8"She sat, mostly because her"
9"He laughed, but it came"
10"Silas set a glass down"
11"He glanced at Tom, then"
12"She stopped herself, but he"
13"He turned his glass in"
14"he said, and it wasn't"
15"She felt the old flinch,"
16"He said it too fast,"
17"She almost smiled."
18"He looked at her like"
19"He shrugged, a full-body gesture,"
ratio0.949
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences39
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences17
technicalSentenceCount1
matches
0"Silas was very deliberately not looking at either of them, which was its own kind of listening."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags25
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags16
fancyCount2
fancyTags
0"He laughed (laugh)"
1"she agreed (agree)"
dialogueSentences52
tagDensity0.308
leniency0.615
rawRatio0.125
effectiveRatio0.077
84.3122%