Run: 2026-04-24-01KQ0G5VYKRRG6SK8NZ9ZR9BHG

Run Details

Duration:
38.2s
Cost:
$0.081515
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
The green neon of the Raven's sign bled through the rain-slick window and turned Aurora's hands the color of pond water. She was three sips into a whisky she hadn't particularly wanted, only ordered because Silas had set it down in front of her without asking, the way he did when he thought she looked tired and wouldn't say so. He was down the far end of the bar now, polishing a glass with the absent competence of a man who had spent his life pretending to do something innocuous while watching a room. Aurora watched the rain instead. Tuesday at the Nest was always thin — a few regulars hunched over pints, the jukebox quiet, the old maps on the walls yellowing another incremental inch toward oblivion. The door opened, letting in a breath of cold and petrol. Aurora did not turn; she had trained herself, since Evan, not to turn at doors. But then a voice behind her said, tentatively, almost laughing at itself, "Rory? Aurora Carter, is that — God, it is." She turned. For a moment she could not place the woman. Tall, rain-speckled camel coat, a slim leather handbag held in both hands like a shield. Hair cut sharp at the jaw, expensively blonded. Then the mouth resolved itself into a smile Aurora had known at fifteen, at nineteen, at twenty-one in the rented kitchen on Cathays Terrace where they had burned a pot of pasta and cried laughing. "Megan." Aurora stood too quickly; the stool scraped. "Christ. Megan Pryce." "Just Megan Doyle now," Megan said, and the smile flickered, and she opened her arms. They embraced the way people embrace when they aren't sure whether they're still permitted to. Megan smelled of something green and architectural, a perfume Aurora did not recognise. The old Megan had smelled of cocoa butter and cheap cigarettes. "Sit, sit," Aurora said. "What are you — how are you in London? How are you in *here*?" Megan glanced around the bar as if taking inventory of its unlikelihood. "Conference at the Hilton, ended early. One of the girls said there was a good whisky list off Old Compton. I thought — one drink before the train." She laughed. "And here you are. Serving the whisky." "Not serving. Drinking." "Oh. Oh good." Megan slid onto the stool beside her, with a careful arrangement of coat and bag that Aurora watched with a strange, detached attention. Everything about her was careful now. Even the way she sat — knees together, back straight — had the patience of a person who had learned to be photographed. Silas appeared without appearing to move. "Ladies." "A glass of the Hakushu, if you have it," Megan said. "We have it." He set the bottle down between them and retreated to a discreet distance, which in the Raven's Nest meant three feet. "So," Megan said, and turned to Aurora with a brightness that did not quite reach her eyes. "Tell me everything. It's been — what. Four years?" "Five. Nearly six." "Six. God." Aurora wrapped her hand around her glass. The crescent scar on her left wrist caught the green light. She saw Megan's eyes flick to it and flick away, and remembered, with a small internal lurch, that Megan had been there the afternoon she got it — the garden wall at Bute Park, the broken bottle, Megan running for her mother because Aurora, eight years old and stoic, had refused to cry. "Not much to tell," Aurora said. "I left Cardiff. I'm in London. I deliver food, mostly. Chinese. There's a woman in Chinatown who pays me in cash and dumplings." Megan's eyebrows lifted, then smoothed. "Law didn't take?" "Law didn't take." "Your father —" "My father doesn't know I stopped. Please don't tell him if you see him." "I won't see him." A pause. "Mam says he's not well." Aurora drank. She did not answer. There were too many things waiting to be said in that silence, and she was too tired to choose one. Instead she asked, "And you? Doyle. That's new." "Two years in August. Rhys Doyle. He's — you wouldn't know him. He's a consultant. Cardiff Bay." Megan turned the stem of her glass. "We have a house in Penarth. A garden. A cat who disapproves of me." "That sounds lovely." "It is lovely." She said it the way one might say *it is Tuesday*. "I'm doing PR for a development firm. I was supposed to be writing plays. Do you remember?" "I remember." "I was going to be the next Sarah Kane without the, you know. The dying." "I remember." Megan laughed, and this time it was the old laugh, rough at the edges, and for an instant Aurora could see the girl who had sat cross-legged on her dormitory floor reading *Blasted* aloud in a voice pitched for the cheap seats. Then the laugh guttered out and the careful woman was back. "I have a folder," Megan said. "On my laptop. Called *The Plays*. I haven't opened it in eighteen months." "You could open it." "I couldn't, actually." She said it lightly. "That's the thing I've learned. There are things you stop being able to do. You wake up one morning and the door's locked and you can't remember packing the key." Aurora thought of the flat upstairs, the boxes she still hadn't unpacked, the Pre-Law textbooks she had dragged from Cardiff for no reason she could articulate. "I know about that." "Do you." "Yes." Megan studied her. The bar light did her no favours; it showed the fine grain of tiredness under the makeup, a tension at the corner of the mouth that had not been there at twenty-one. "You look different, Rory." "Older." "Not older. *Quieter.* You used to —" She searched. "You used to fill a room." "I got tired of filling rooms." "Was he —" Megan stopped. Started again. "Eva rang me. After. She didn't say much. She said you were safe." "I'm safe." "I should have rung." "You didn't know what to say. Nobody does." "I should have rung anyway." Aurora looked down into her glass, at the small amber planet there, and felt the weight of all the phone calls that had not been made, in both directions, over six years. She had not rung Megan when Megan's father died. She had read about it on Facebook and closed the laptop and told herself she would write a card. She never wrote the card. "We were going to share a flat in London," Megan said quietly. "Do you remember that? After finals. We had that whole summer planned." "Hackney," Aurora said. "With the roof terrace." "The roof terrace that didn't exist." "It existed in the advert." "Everything exists in the advert." They sat with that for a moment. Down the bar, Silas set a pint in front of a regular without speaking. Rain tapped the window in its distracted morse. "I'm glad you're happy," Aurora said, and found, to her surprise, that she meant it, even though *happy* was not a word Megan had used, and she had noticed. Megan's eyes shone, briefly, and she blinked it away with the efficiency of a woman who had learned not to cry in restaurants. "I'm glad you're safe." She lifted her glass. "To the flat in Hackney." "To the roof terrace." They drank. Megan checked her phone, apologised, checked it again. The train. Of course, the train. She gathered her coat with the same care she had taken setting it down, and at the door she turned, and Aurora raised a hand, and Megan raised hers, and neither of them said *we should do this again*, because it was already, visibly, not the sort of thing they would do again; it had been a weather event, a door opening in the rain. When she had gone, Silas came down the bar, limp soft on the boards, and refilled Aurora's glass without being asked. "Old friend?" he said. "Something like that." He nodded, and did not press, and moved away, and Aurora sat with the whisky warming slowly in her hand and watched the green neon trembling in the window, and thought about locked folders, and keys, and all the rooms she had once been able to fill.
created_at"2026-04-24T19:41:28.408Z" 4/24/2026, 7:41:28 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2891
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generation_time38155
tokens_prompt867
tokens_completion2148
native_tokens_prompt1243
native_tokens_completion3012
native_tokens_completion_images(null)
native_tokens_reasoning107
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
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web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"end_turn"
usage0.081515
router(null)
provider_responses
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is_byokfalse
latency697
model_permaslug"anthropic/claude-4.7-opus-20260416"
provider_name"Amazon Bedrock"
status200
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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
totalTags20
adverbTagCount2
adverbTags
0"Aurora stood too [too]"
1"Megan said quietly [quietly]"
dialogueSentences66
tagDensity0.303
leniency0.606
rawRatio0.1
effectiveRatio0.061
89.08% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1374
totalAiIsmAdverbs3
found
0
adverb"quickly"
count1
1
adverb"lightly"
count1
2
adverb"slowly"
count1
highlights
0"quickly"
1"lightly"
2"slowly"
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)
78.17% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1374
totalAiIsms6
found
0
word"resolved"
count1
1
word"flickered"
count1
2
word"lurch"
count1
3
word"silence"
count1
4
word"tension"
count1
5
word"weight"
count1
highlights
0"resolved"
1"flickered"
2"lurch"
3"silence"
4"tension"
5"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
narrationSentences68
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences68
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences113
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen65
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans7
markdownWords14
totalWords1383
ratio0.01
matches
0"here"
1"it is Tuesday"
2"Blasted"
3"The Plays"
4"Quieter."
5"happy"
6"we should do this again"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions24
unquotedAttributions0
matches(empty)
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions61
wordCount956
uniqueNames14
maxNameDensity2.3
worstName"Megan"
maxWindowNameDensity4.5
worstWindowName"Megan"
discoveredNames
Raven2
Aurora21
Silas4
Nest2
Evan1
Cathays1
Terrace1
Megan22
Bute1
Park1
Tuesday2
Pre-Law1
Cardiff1
Facebook1
persons
0"Raven"
1"Aurora"
2"Silas"
3"Evan"
4"Megan"
places
0"Cathays"
1"Terrace"
2"Bute"
3"Park"
4"Cardiff"
globalScore0.349
windowScore0.167
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences45
glossingSentenceCount3
matches
0"as if taking inventory of its unlikelihood"
1"not quite reach her eyes"
2"t was already, visibly, not the sort of th"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1383
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences113
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs62
mean22.31
std24.2
cv1.085
sampleLengths
0128
147
22
367
411
515
639
718
849
93
1055
117
1211
1324
1426
153
162
1771
1829
198
203
213
2214
2311
2434
2538
263
2731
282
2915
302
3153
3219
334
3437
3530
362
371
3839
391
4015
416
4220
432
444
458
465
4765
4824
497
94.94% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences68
matches
0"been made"
1"being asked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs171
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount4
flaggedSentences7
totalSentences113
ratio0.062
matches
0"Tuesday at the Nest was always thin — a few regulars hunched over pints, the jukebox quiet, the old maps on the walls yellowing another incremental inch toward oblivion."
1"Aurora did not turn; she had trained herself, since Evan, not to turn at doors."
2"\"Megan.\" Aurora stood too quickly; the stool scraped."
3"Even the way she sat — knees together, back straight — had the patience of a person who had learned to be photographed."
4"She saw Megan's eyes flick to it and flick away, and remembered, with a small internal lurch, that Megan had been there the afternoon she got it — the garden wall at Bute Park, the broken bottle, Megan running for her mother because Aurora, eight years old and stoic, had refused to cry."
5"The bar light did her no favours; it showed the fine grain of tiredness under the makeup, a tension at the corner of the mouth that had not been there at twenty-one."
6"She gathered her coat with the same care she had taken setting it down, and at the door she turned, and Aurora raised a hand, and Megan raised hers, and neither of them said *we should do this again*, because it was already, visibly, not the sort of thing they would do again; it had been a weather event, a door opening in the rain."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount675
adjectiveStacks1
stackExamples
0"Tall, rain-speckled camel"
adverbCount19
adverbRatio0.028148148148148148
lyAdverbCount5
lyAdverbRatio0.007407407407407408
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences113
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences113
mean12.24
std11.78
cv0.963
sampleLengths
021
139
234
35
429
511
615
721
82
99
1015
118
1235
138
143
1515
1615
1713
1811
194
2014
2112
2230
237
243
2526
266
2723
286
291
3011
3124
3217
339
343
352
367
3711
3853
396
4023
415
423
433
443
4514
466
475
482
494
76.99% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.504424778761062
totalSentences113
uniqueOpeners57
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences55
matches
0"Then the mouth resolved itself"
1"Even the way she sat"
2"Instead she asked,"
3"Then the laugh guttered out"
4"Of course, the train."
ratio0.091
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount15
totalSentences55
matches
0"She was three sips into"
1"He was down the far"
2"They embraced the way people"
3"He set the bottle down"
4"She saw Megan's eyes flick"
5"She did not answer."
6"She said it the way"
7"She said it lightly"
8"She had not rung Megan"
9"She had read about it"
10"She never wrote the card."
11"They sat with that for"
12"She lifted her glass"
13"She gathered her coat with"
14"He nodded, and did not"
ratio0.273
60.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount44
totalSentences55
matches
0"The green neon of the"
1"She was three sips into"
2"He was down the far"
3"Aurora watched the rain instead."
4"Tuesday at the Nest was"
5"The door opened, letting in"
6"Aurora did not turn; she"
7"Hair cut sharp at the"
8"Aurora stood too quickly; the"
9"Megan said, and the smile"
10"They embraced the way people"
11"Megan smelled of something green"
12"The old Megan had smelled"
13"Megan glanced around the bar"
14"Megan slid onto the stool"
15"Everything about her was careful"
16"Silas appeared without appearing to"
17"He set the bottle down"
18"Megan said, and turned to"
19"Aurora wrapped her hand around"
ratio0.8
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences55
matches(empty)
ratio0
63.49% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences27
technicalSentenceCount3
matches
0"He was down the far end of the bar now, polishing a glass with the absent competence of a man who had spent his life pretending to do something innocuous while …"
1"Megan laughed, and this time it was the old laugh, rough at the edges, and for an instant Aurora could see the girl who had sat cross-legged on her dormitory fl…"
2"The bar light did her no favours; it showed the fine grain of tiredness under the makeup, a tension at the corner of the mouth that had not been there at twenty…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags20
uselessAdditionCount1
matches
0"Megan said, and the smile flickered, and she opened her arms"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags15
fancyCount1
fancyTags
0"She laughed (laugh)"
dialogueSentences66
tagDensity0.227
leniency0.455
rawRatio0.067
effectiveRatio0.03
81.7781%