Run: 2026-04-24-01KQ0GDNJMP725Z66PV9X4CZTH

Run Details

Duration:
36.0s
Cost:
$0.077215
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 against the Soho drizzle, and Rory shook the wet from her coat before ducking inside. She had meant to go straight upstairs. Her bag was full of leftover dumplings from Yu-Fei, and her feet ached in the particular way that only hours on a scooter could produce. But Silas had left the kettle on the hob downstairs that morning, and she could smell it from the stairwell, so she came in through the bar to turn it off before it scorched. She did not notice him at first. He was folded into a booth near the back, under a photograph of a Berlin street in winter, nursing something amber that he had not touched in a while. It was the stillness that made her look twice. Then the coat, charcoal wool, too expensive for the Nest. Then the face. "Cai." He lifted his head. For a second there was nothing in it, not recognition, not even politeness, just the blank look of a man surfacing from deep water. Then his mouth did something complicated. "Christ. Rory?" "What are you—" She set the bag of dumplings on the bar without looking at it. "What are you doing here?" "Conference. Gray's Inn." He gestured vaguely towards the door, as though the Inns of Court were out in the street. "I was going to walk back to the hotel. It started raining. I saw the sign." "You saw the sign and came into the Raven's Nest." "It looked awful." A small, tired smile. "I thought, that's the sort of place Rory would drag me to." She did not know what to do with her hands. She slid into the booth across from him before the decision to sit had quite finished forming. Up close he was different. The hair she remembered — messy, always flopping over his eye during seminars — had been cut short and was already going at the temples. He had not been thirty the last time she saw him. He was not yet thirty now, and yet. "You look—" he started. "Don't." "I was going to say tired." "Oh." She laughed, and the sound startled her. "Well. That's accurate." Silas was at the far end of the bar, polishing a glass he had already polished, the signet on his right hand catching light each time he turned his wrist. He glanced up once, the way he always did when someone new sat down near her, and she gave him the smallest shake of her head. He looked back down. "Your dad's friend?" Cai asked. "My landlord." "You live above a bar." "I live above a bar." He took a sip of the whisky, at last. "Your mother used to tell mine you were going to be Attorney General one day." "My mother used to tell a lot of people a lot of things." He watched her. It was the same watching she remembered from lecture halls, from the library at two in the morning when they were both deep in Contract and arguing over stupid things to keep awake. Except then it had been looking at; now it was looking for. Cai was trying to find someone in her face. She was trying to do the same to him, and neither of them was succeeding. "You disappeared," he said. "I didn't disappear. I left." "Without telling anyone." "I told Eva." "Eva isn't anyone, Rory. Eva's a conduit to you. The rest of us—" He stopped himself. She watched him stop himself. It was a new skill. The Cai she had known would have said it, whatever it was, and then apologised three times over the next hour. "Sorry. The rest of us wondered, is all." "Did you." "Yes." "Evan told people I'd had a breakdown." "Evan told people a lot of things." She looked at the scar on her wrist, the small pale crescent she had worn since she was nine and fallen off a garden wall. She rubbed her thumb across it. It was an old habit she had almost trained herself out of. "Are you still with him?" he asked, carefully. "No." "Good." "Good," she echoed. The word felt strange in her mouth, as if she had never said it about that before. He turned the glass. The bar's light moved through the whisky and printed small amber shapes on the scarred wood. "I made partner last month." "Cai. That's— that's fast." "It's obscene," he said. "It's so fast it's funny. I don't sleep. I don't read anything that isn't a brief. I used to read, Rory." He looked up at her with something helpless in his face. "Do you remember I used to read?" "You made me read Austerlitz. I never forgave you." "That's the last novel I finished." "When?" "2019." She did not know what to say to that. Outside, a bus hissed through the wet. Somebody down the bar laughed too loudly at something on a phone, and Silas gave the laugh a slow, disapproving look, and the laugh tapered off. "You look well," Cai said, and this time he meant it. "Different, but well. Better than—" "Than I was." "Than you were." "I'm a delivery driver." "I know. You've got a coat with a dragon on it and your hair's full of rain." "I'm a delivery driver and I'm better than I was." She said it to the table, testing whether it was true, and found that it was, more or less. "I don't know what to do with that information yet." "You don't have to do anything with it." "People always think you do." He reached across the table then, not quite to her hand, just to the space near it, and rested his fingers on the wood. An old gesture. He had done it in the library in Cardiff the night she told him about the first bruise, and she had not taken his hand then either, and they had sat like that until closing. "I should have come to find you," he said. "You didn't know where I was." "I should have known. I should have asked better questions." "Cai—" "I'm saying it. Let me say it." She let him say it. She watched his hand on the wood, the tendons new and tight where they had once been slack and ink-stained, and thought about how the years do not take people away from you all at once. They do it a sip at a time, until you look up in a strange bar in a city you ran to and find someone you used to know sitting across from you wearing a coat you do not recognise, drinking something you would not have chosen, apologising for a silence that you made together. "All right," she said. "All right. It's said."
created_at"2026-04-24T19:45:44.025Z" 4/24/2026, 7:45:44 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2736
moderation_latency(null)
generation_time35953
tokens_prompt1094
tokens_completion1862
native_tokens_prompt1553
native_tokens_completion2778
native_tokens_completion_images(null)
native_tokens_reasoning257
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"
usage0.077215
router(null)
provider_responses
0
endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
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is_byokfalse
latency782
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-1777059944-jD6hxpoUBBRP0zARNe7y"
session_id(null)
api_type"completions"
id"gen-1777059944-OtcB5XhMv2WNBr35AqJY"
upstream_id"7e749647-6043-4db6-adb6-7c941c2051dc"
total_cost0.077215
cache_discount(null)
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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
totalTags15
adverbTagCount1
adverbTags
0"He gestured vaguely [vaguely]"
dialogueSentences60
tagDensity0.25
leniency0.5
rawRatio0.067
effectiveRatio0.033
95.59% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1133
totalAiIsmAdverbs1
found
0
adverb"carefully"
count1
highlights
0"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)
91.17% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1133
totalAiIsms2
found
0
word"echoed"
count1
1
word"silence"
count1
highlights
0"echoed"
1"silence"
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
narrationSentences61
matches(empty)
72.60% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount0
narrationSentences61
filterMatches
0"look"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences105
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
totalWords1135
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions17
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions16
wordCount804
uniqueNames11
maxNameDensity0.5
worstName"Cai"
maxWindowNameDensity1.5
worstWindowName"Cai"
discoveredNames
Soho1
Rory1
Yu-Fei1
Silas3
Berlin1
Nest1
Inns1
Court1
Contract1
Cai4
Cardiff1
persons
0"Rory"
1"Silas"
2"Cai"
places
0"Soho"
1"Yu-Fei"
2"Berlin"
3"Contract"
4"Cardiff"
globalScore1
windowScore1
89.02% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences41
glossingSentenceCount1
matches
0"not quite to her hand, just to the space near it, and rested his fingers on the wood"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1135
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences105
matches
0"found that it"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs60
mean18.92
std23.63
cv1.249
sampleLengths
085
158
21
334
42
521
636
710
819
976
104
111
126
1311
1460
155
162
175
185
1924
2013
2172
224
235
243
253
2655
272
281
297
307
3143
328
331
341
3520
3625
374
3843
399
406
411
421
4342
4416
453
463
474
4817
4939
99.51% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences61
matches
0"was folded"
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs132
matches
0"was already going"
1"was looking"
2"was trying"
3"was trying"
4"was succeeding"
88.44% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount1
flaggedSentences2
totalSentences105
ratio0.019
matches
0"The hair she remembered — messy, always flopping over his eye during seminars — had been cut short and was already going at the temples."
1"Except then it had been looking at; now it was looking for."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount804
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.036069651741293535
lyAdverbCount4
lyAdverbRatio0.004975124378109453
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences105
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences105
mean10.81
std9.92
cv0.918
sampleLengths
019
17
225
334
47
529
69
710
83
91
104
1124
126
132
1416
155
1620
1716
1810
197
2012
2110
2217
235
2425
2511
268
274
281
296
308
313
3230
3326
344
355
362
375
385
399
4015
4113
423
4333
4412
459
4615
474
485
493
52.88% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats15
diversityRatio0.40384615384615385
totalSentences104
uniqueOpeners42
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences54
matches
0"Then the coat, charcoal wool,"
1"Then the face."
2"Then his mouth did something"
ratio0.056
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount35
totalSentences54
matches
0"She had meant to go"
1"Her bag was full of"
2"She did not notice him"
3"He was folded into a"
4"It was the stillness that"
5"He lifted his head."
6"She set the bag of"
7"He gestured vaguely towards the"
8"She did not know what"
9"She slid into the booth"
10"He had not been thirty"
11"He was not yet thirty"
12"She laughed, and the sound"
13"He glanced up once, the"
14"He looked back down."
15"He took a sip of"
16"He watched her."
17"It was the same watching"
18"She was trying to do"
19"He stopped himself"
ratio0.648
34.07% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount46
totalSentences54
matches
0"The green neon buzzed against"
1"She had meant to go"
2"Her bag was full of"
3"She did not notice him"
4"He was folded into a"
5"It was the stillness that"
6"He lifted his head."
7"She set the bag of"
8"He gestured vaguely towards the"
9"A small, tired smile"
10"She did not know what"
11"She slid into the booth"
12"The hair she remembered —"
13"He had not been thirty"
14"He was not yet thirty"
15"She laughed, and the sound"
16"Silas was at the far"
17"He glanced up once, the"
18"He looked back down."
19"He took a sip of"
ratio0.852
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences54
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences25
technicalSentenceCount0
matches(empty)
58.33% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags15
uselessAdditionCount2
matches
0"He gestured vaguely, as though the Inns of Court were out in the street"
1"he asked, carefully"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags9
fancyCount1
fancyTags
0"She laughed (laugh)"
dialogueSentences60
tagDensity0.15
leniency0.3
rawRatio0.111
effectiveRatio0.033
82.7208%