Run: 2026-04-24-01KQ0G7F34S2XQQPTSMVV9CQDZ

Run Details

Duration:
34.3s
Cost:
$0.073665
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 bled through the window and laid itself across the bar top in a long, sickly stripe. Aurora sat at the end of it with a glass of red she hadn't touched in ten minutes, watching the wine hold the light. Friday pushed itself against the door in coats and voices. She'd only come down for a single drink, to feel the noise of other people without having to belong to it. Then the door swung and a laugh came in ahead of a woman she had not seen since Cardiff. "God, no. No, it can't be." Aurora looked up. Megan Pryce stood three feet away with her scarf still wrapped and her cheeks coloured from the cold, the same Megan who had once held her hair back over a sink in halls and told her she'd make a terrible barrister because she cared too much about being right. "Meg." "Rory Carter." Megan's hand went to her mouth and dropped again. "Rory bloody Carter. In London. In a bar." "I live here now. Upstairs, actually." "Upstairs where?" "Upstairs here." Megan blinked at the ceiling as if expecting to see through it. She unwound her scarf and dropped onto the stool beside Aurora without being invited, which was the Megan Aurora remembered, the one who treated every chair in the world as if it had been waiting for her. "I'm in town for a conference," Megan said. "Education something. I'm teaching now, did you know? Ysgol Plasmawr. Year Sevens. They eat me alive." "You wanted primary." "I wanted a lot of things." Megan twisted on the stool to look at her properly, and Aurora watched the small arithmetic happening behind her eyes, the subtraction of the girl she'd known from the woman in front of her. "You cut your hair." "Years ago." "It suits you. It's — you look — " "Different." "Thinner." Aurora almost laughed. "That's a polite word for it." "I wasn't being polite." Megan flagged the barman — not Silas tonight, one of the weekend lads — and pointed at Aurora's glass. "Same. And a packet of the salt and vinegar, please, I haven't eaten since Swindon." She turned back. "Your mam said you were in London. She didn't say where. She didn't say much, actually." "She wouldn't." "No." They let that sit. The bar filled in around the silence with other people's evenings, and Aurora felt the weight of three years compressing into the space between their elbows. "You disappeared, Ror." "I left." "You disappeared. Phone went dead. Instagram gone. Katie drove past your flat in April and the curtains were still the same ones from second year and no one was home. We thought — " Megan stopped. Started again. "We didn't know what to think." "I should have rung." "Yeah. You should have." The wine came. Megan took a swallow too fast and set it down. "He hit you, didn't he." Aurora looked at her hands. The crescent scar on her left wrist caught the neon and held it, an old moon she'd been carrying since she was nine and had fallen off a wall in her grandmother's garden. She'd told Evan it was from a dog. She didn't know why she had lied about something so small; it had been practice, perhaps, for the bigger lies that came later. "Once," she said. "The once that mattered. Other things before that." "Christ." "Don't." "Don't what?" "Don't do the face. I've had the face." Megan's mouth closed. She turned her glass a quarter-turn on the bar, then another. Aurora had forgotten this about her — the way her hands went looking for something to do when her tongue wouldn't behave. "I knew," Megan said. "Not — I didn't know know. But I saw him at that thing at Colin's, the summer before you went quiet, and he had his hand on the back of your neck like you were a cat he was about to put outside, and I thought — I thought, I should say something to her. And then I didn't. Because what would I say? Rory, your boyfriend holds you funny?" "It wouldn't have changed anything." "It might have." "It wouldn't." Aurora finally lifted the wine and drank. "I wasn't ready. You could have stood in front of me with a placard and I'd have walked round you." Megan laughed, a small damp sound, and rubbed under one eye with the heel of her hand. "You're so calm about it. That's the bit that kills me. You used to — Rory, you used to cry at adverts." "I know." "The charity ones with the dogs." "I know." "Where did she go? The one who cried at the dogs." Aurora considered the question. Outside, a taxi horn did its two-note complaint and somewhere behind them a man was telling a joke about his brother-in-law to people who had already heard it. She thought of the girl who had packed a rucksack at three in the morning and sat on the train to Paddington with her passport in her hand as if she were leaving the country and not just the city. She thought of Eva opening the door in Camden in a dressing gown, saying nothing, just moving aside. "She's around," Aurora said. "She comes out sometimes. At weddings. On the phone to my mother. She's just — quieter now." "Is that better?" "It's different." Megan nodded at the bar top. Her thumb worried the rim of her glass. "I brought you a book," she said suddenly. "Last Christmas. I bought you a book and I wrapped it and then I didn't have anywhere to send it so I put it on my shelf. It's still there. It's that Anne Carson one you lent me in first year and never got back." "The Autobiography of Red." "You remember." "I remember everything, Meg. That's the problem." Megan looked at her then, properly, without the arithmetic, and Aurora saw in her face the thing she had been avoiding for three years — not pity, which she could have refused, but grief. The clean, uncomplicated grief of someone who had loved her and been left to wonder, and who was now having to rearrange the wondering into something that could be carried home. "I'm sorry," Aurora said. "For going quiet. I'm sorry." "Yeah." Megan reached over and laid her hand on Aurora's wrist, over the scar, the way she used to in lecture theatres when Aurora's leg wouldn't stop jumping. "Yeah. Me too."
created_at"2026-04-24T19:42:20.777Z" 4/24/2026, 7:42:20 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3009
moderation_latency331
generation_time33919
tokens_prompt1094
tokens_completion1797
native_tokens_prompt1553
native_tokens_completion2636
native_tokens_completion_images(null)
native_tokens_reasoning205
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"
usage0.073665
router(null)
provider_responses
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endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"ca5a49c5-f43b-40a3-b2c3-a06f597239e7"
is_byokfalse
latency1081
model_permaslug"anthropic/claude-4.7-opus-20260416"
provider_name"Amazon Bedrock"
status200
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request_id"req-1777059740-uvGBElOqIuVV9dW7dKAF"
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api_type"completions"
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upstream_id"ca5a49c5-f43b-40a3-b2c3-a06f597239e7"
total_cost0.073665
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provider_name"Amazon Bedrock"
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags12
adverbTagCount2
adverbTags
0"She turned back [back]"
1"she said suddenly [suddenly]"
dialogueSentences59
tagDensity0.203
leniency0.407
rawRatio0.167
effectiveRatio0.068
95.35% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1075
totalAiIsmAdverbs1
found
0
adverb"suddenly"
count1
highlights
0"suddenly"
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)
90.70% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1075
totalAiIsms2
found
0
word"silence"
count1
1
word"weight"
count1
highlights
0"silence"
1"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
narrationSentences44
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences44
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences90
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen70
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1088
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions41
wordCount647
uniqueNames10
maxNameDensity2.63
worstName"Aurora"
maxWindowNameDensity4.5
worstWindowName"Megan"
discoveredNames
Cardiff1
Pryce1
Megan16
Aurora17
Silas1
Started1
Evan1
Paddington1
Eva1
Camden1
persons
0"Pryce"
1"Megan"
2"Aurora"
3"Silas"
4"Evan"
5"Eva"
places
0"Cardiff"
1"Paddington"
2"Camden"
globalScore0.186
windowScore0.167
60.71% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences28
glossingSentenceCount1
matches
0"as if expecting to see through it"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.919
wordCount1088
matches
0"not pity, which she could have refused, but grief"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences90
matches
0"let that sit"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs57
mean19.09
std23.25
cv1.218
sampleLengths
074
119
26
352
41
519
66
72
82
949
1024
113
1244
132
149
151
161
179
1857
192
201
2130
223
232
2444
254
264
2713
285
2969
3011
311
321
332
348
3536
3674
375
383
3929
4039
412
426
432
4411
4590
4621
473
482
4914
97.29% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences44
matches
0"been left"
83.04% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs114
matches
0"was telling"
1"were leaving"
15.87% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount1
flaggedSentences4
totalSentences90
ratio0.044
matches
0"\"I wasn't being polite.\" Megan flagged the barman — not Silas tonight, one of the weekend lads — and pointed at Aurora's glass."
1"She didn't know why she had lied about something so small; it had been practice, perhaps, for the bigger lies that came later."
2"Aurora had forgotten this about her — the way her hands went looking for something to do when her tongue wouldn't behave."
3"Megan looked at her then, properly, without the arithmetic, and Aurora saw in her face the thing she had been avoiding for three years — not pity, which she could have refused, but grief."
99.84% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount647
adjectiveStacks0
stackExamples(empty)
adverbCount26
adverbRatio0.0401854714064915
lyAdverbCount6
lyAdverbRatio0.00927357032457496
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences90
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences90
mean12.09
std13.06
cv1.081
sampleLengths
019
124
210
321
419
56
63
749
81
911
108
116
122
132
1412
1537
168
1716
183
1940
204
212
229
231
241
253
266
2723
2818
2916
302
311
324
3326
343
352
3636
372
386
394
404
413
4210
435
445
4533
468
4723
483
498
54.44% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.4
totalSentences90
uniqueOpeners36
90.09% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences37
matches
0"Then the door swung and"
ratio0.027
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount11
totalSentences37
matches
0"She'd only come down for"
1"She unwound her scarf and"
2"She turned back"
3"They let that sit."
4"She'd told Evan it was"
5"She didn't know why she"
6"She turned her glass a"
7"She thought of the girl"
8"She thought of Eva opening"
9"Her thumb worried the rim"
10"she said suddenly"
ratio0.297
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount35
totalSentences37
matches
0"The green neon bled through"
1"Aurora sat at the end"
2"Friday pushed itself against the"
3"She'd only come down for"
4"Aurora looked up."
5"Megan Pryce stood three feet"
6"Megan's hand went to her"
7"Megan blinked at the ceiling"
8"She unwound her scarf and"
9"Megan twisted on the stool"
10"Aurora almost laughed."
11"Megan flagged the barman —"
12"She turned back"
13"They let that sit."
14"The bar filled in around"
15"The wine came."
16"Megan took a swallow too"
17"Aurora looked at her hands."
18"The crescent scar on her"
19"She'd told Evan it was"
ratio0.946
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences37
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences20
technicalSentenceCount5
matches
0"Megan Pryce stood three feet away with her scarf still wrapped and her cheeks coloured from the cold, the same Megan who had once held her hair back over a sink…"
1"She unwound her scarf and dropped onto the stool beside Aurora without being invited, which was the Megan Aurora remembered, the one who treated every chair in …"
2"She didn't know why she had lied about something so small; it had been practice, perhaps, for the bigger lies that came later."
3"Outside, a taxi horn did its two-note complaint and somewhere behind them a man was telling a joke about his brother-in-law to people who had already heard it."
4"The clean, uncomplicated grief of someone who had loved her and been left to wonder, and who was now having to rearrange the wondering into something that could…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount0
fancyTags(empty)
dialogueSentences59
tagDensity0.102
leniency0.203
rawRatio0
effectiveRatio0
80.1334%