Run: 2026-07-25-01KYCRNH1WE2SHCM90Y71ESTM0

Run Details

Duration:
1m 9s
Cost:
$0.101090
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 rain had followed her the whole way from Wardour Street, and by the time Rory shouldered through the side door of the Raven's Nest her hair was flat against her skull and the insulated bag on her back had begun to smell like a wet dog that had eaten a ginger root. "Last one?" Silas asked, without looking up. He was holding a glass to the light, checking it for water spots, which was a thing he did when the bar was slow and he wanted to seem occupied. "Last one. Man in a dressing gown on the fourth floor, no lift. Tipped me forty pence and told me the buzzer's broken. It isn't." "It never is." She hung the bag on its hook by the cellar stairs and pushed her hands through her hair and turned around, and that was when she saw the woman at the far end of the bar, under the photograph of the Berlin trolley car, and everything in Rory's chest went very quiet, the way a room goes quiet when a fuse blows. Nia Vaughan had ordered a gin and tonic and hadn't touched it. She was wearing a camel coat that had been expensive before the rain got to it, and her hair — which had been the colour of a traffic cone the last time Rory saw it, cut with kitchen scissors in the bathroom of a shared house on Cathays Terrace — was now brown, and long, and blow-dried into obedience. There was a suit under the coat. There was a slim leather folio on the stool beside her with a barristers' chambers crest stamped in gold on the flap. Rory thought: I could walk into the back. I could go up to the flat. She would never know. Nia looked up. "Oh," she said. "Oh, God." Three years and four months. Rory had done the arithmetic so often it came unbidden, like a phone number you can't stop knowing. "You're wet," Nia said. "You're in Soho." "I'm in Soho." Nia laughed, and the laugh was the same, that startled bark, too loud for the room, the one that used to get them thrown out of the Students' Union. It came out of the new face like something smuggled. "There's a case. Fraud. Four weeks of listing and I'm the one who carries the bundles. I was walking to the tube and it started chucking it down and there was a green light and I thought, that'll do." "That's how he gets everyone," Rory said. "The neon." "Do you—" Nia stopped. Started again. "Do you work here?" "I live upstairs." Silas set a towel on the bar, unhurried, and moved down to the till end, and made himself into furniture. Rory loved him for it. She came and sat, one stool between them, and then closed the gap, because leaving it there felt like a statement. "You look well," Nia said. "I look like a drowned postman." "You look well." Nia's eyes went over her — the fleece with the Golden Empress dragon on the breast, the reflective strip on the sleeve, the wet trainers. Not unkind. Just filing it, the way she'd been trained to file things now. "You cut your hair." "Grew it. It was shorter." "It was shorter." A pause. "I looked for you." "I know." "That's all? You know?" "I know because I saw the messages." Rory turned the beer mat over. "I got a new phone eventually, and they all came through at once, about two hundred of them, like a flood coming out of a burst pipe. I sat on a night bus and read them for an hour and a half." "And?" "And I got off at Angel and threw up in a bin." Nia looked at her drink. She picked it up and put it down without drinking. "Gareth said you'd be dead," she said. "He said it in a caring way. He meant, you have to consider it." "Gareth." Rory dredged the name up. "The rowing one." "We're getting married in September." Something turned over in Rory, slow, indistinct, not quite envy. "Congratulations." "Don't do the voice." "I'm not doing a voice." "You are. You've got a London voice now, a sort of flat, polite—" Nia stopped herself, and pressed two fingers to her eyebrow, and for a second the barrister slid off her like a coat off a hook and there was the girl who'd sat on a roof in February eating cold chips and telling Rory she was going to go to Beirut with a camera and never come home. "Sorry. I've been in court all day being agreeable. It builds up." "You were going to be a photographer," Rory said. "I was going to be a lot of things." Nia smiled at the bar top. "You were going to be a lawyer." "I was going to be my dad." "You'd have been good." "I'd have been him." Silas turned on the tap and turned it off again. Rain came against the window in a handful, like gravel. "You didn't tell me," Nia said. There it was. Rory had known it was coming the moment she saw the coat, had felt it the way you feel weather in a knee. She looked up at the wall instead, at the old maps, the Rhine, the Danube, someone's pencilled route across a border that didn't exist anymore. "No," she said. "Three years, Rory. Three years I've been going over it. Every conversation. Every night out. I keep finding places where I should have—" Nia's hand made a small helpless movement. "You came round in December. You had that mark on your jaw and you said the wardrobe door. And I said, God, you're clumsy. I said, you're clumsy, and I put the kettle on." "Nia." "And in the summer you rang me. Half eleven, and I was at Ffion's, and it was loud, and you said, are you in tonight, and I said, no, why, and you said, nothing, doesn't matter, and I said, right, love you, byeee—" she did the voice, mercilessly, her own voice, three years younger and drunk, "—and I went back inside." "I wouldn't have told you." Rory said it flatly, because flat was the only way she could get it out whole. "That's the thing you're not getting. If you'd been in, I'd have come round and eaten your cereal and watched telly and gone home again, because I couldn't say it. Not to you. You were the person who knew me from when I was seven. To say it to you I'd have had to make it real, and I wasn't ready, and I kept not being ready for another eleven months." Nia's eyes were bright and furious. "So what should I have done?" "Nothing. There wasn't a thing." "That's worse." "Yes," Rory said. "It is." She turned her left hand over on the bar, the small crescent scar white on her wrist. Nia had been there for that too — the drainpipe, the wall behind the Ellises' garage, the nine-year-old scream. Nia had run for Rory's mother and got shouted at for both of them. She saw Nia see it, and saw her decide not to say anything, and was grateful. "Eva came and got me," Rory said. "In the end. She drove down from London at two in the morning in a car with no MOT and put my whole life in six bin bags." "I know. I found out from her mother, in Tesco, eight months later." A breath. "That was a good day." "I'm sorry." "Don't." "I am, though. Not for leaving. For the silence after." Rory rubbed her thumb along the edge of the bar. "I kept thinking I'd ring you when I had something to show. When I had a proper job, a proper flat. When the story had a good ending I could hand you. And then time does this thing where it just — accrues. And the longer it goes the bigger the thing you owe, and the bigger it gets the less you can lift it." Nia was quiet a long moment. "You're delivering Chinese food," she said. "I am." "And living above a bar in Soho." "With a leak in the bathroom ceiling." "Rory." Nia laughed, wetly, and wiped her face with the heel of her hand, and the mascara went and she didn't care. "That's such a shit ending." "It's not an ending," Rory said. "That's what I worked out. There isn't one coming. You just have to ring anyway." Silas came down the bar with a bottle and two clean glasses and put them between the two women without a word, and went away again, the limp making its small punctuation on the boards. His signet ring caught the light from the optics. Nia took the folio off the stool and set it on the floor, out of the way, and unbuttoned the ruined coat. "Four weeks of listing," she said. "So I'm here till the end of the month." "There's a bell above the door," Rory said. "You'll hear it from anywhere in the building."
created_at"2026-07-25T13:50:36.099Z" 7/25/2026, 1:50:36 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4467
moderation_latency(null)
generation_time68445
tokens_prompt846
tokens_completion2604
native_tokens_prompt1238
native_tokens_completion3796
native_tokens_completion_images(null)
native_tokens_reasoning555
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"
usage0.10109
router(null)
provider_responses
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endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNtDY8nbKhhbVFX8Yo6U"
is_byokfalse
latency1476
model_permaslug"anthropic/claude-opus-5-20260723"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1784987436-7WlO8QQYh6pp33VTcfDW"
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api_type"completions"
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upstream_id"msg_011CdNtDY8nbKhhbVFX8Yo6U"
total_cost0.10109
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
totalTags28
adverbTagCount0
adverbTags(empty)
dialogueSentences76
tagDensity0.368
leniency0.737
rawRatio0
effectiveRatio0
96.73% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1529
totalAiIsmAdverbs1
found
0
adverb"very"
count1
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)
93.46% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1529
totalAiIsms2
found
0
word"eyebrow"
count1
1
word"silence"
count1
highlights
0"eyebrow"
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
emotionTells1
narrationSentences66
matches
0"was grateful"
77.92% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount0
narrationSentences66
filterMatches
0"feel"
1"see decide"
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
maxSentenceWordsSeen71
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1533
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions24
unquotedAttributions0
matches(empty)
28.64% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions59
wordCount824
uniqueNames19
maxNameDensity2.43
worstName"Rory"
maxWindowNameDensity4
worstWindowName"Nia"
discoveredNames
Wardour1
Street1
Rory20
Raven1
Nest1
Berlin1
Vaughan1
Cathays1
Terrace1
Three1
Nia19
Started1
Golden1
Empress1
February1
Beirut1
Silas4
Rhine1
Danube1
persons
0"Rory"
1"Raven"
2"Vaughan"
3"Nia"
4"Silas"
places
0"Wardour"
1"Street"
2"Berlin"
3"Cathays"
4"Terrace"
5"February"
6"Beirut"
7"Danube"
globalScore0.286
windowScore0.333
21.79% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences39
glossingSentenceCount2
matches
0"felt like a statement"
1"not quite envy"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1533
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
totalParagraphs68
mean22.54
std25.22
cv1.119
sampleLengths
053
137
225
33
462
512
688
719
83
95
1023
114
123
1381
149
1510
163
1746
185
196
2046
215
229
232
244
2555
261
2712
2836
299
305
3111
324
335
3482
359
3622
377
384
394
4020
416
4251
433
4464
451
4661
4792
4812
495
94.63% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences66
matches
0"been trained"
1"got shouted"
60.14% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs143
matches
0"was holding"
1"was wearing"
2"was coming"
41.72% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences4
totalSentences113
ratio0.035
matches
0"She was wearing a camel coat that had been expensive before the rain got to it, and her hair — which had been the colour of a traffic cone the last time Rory saw it, cut with kitchen scissors in the bathroom of a shared house on Cathays Terrace — was now brown, and long, and blow-dried into obedience."
1"\"You look well.\" Nia's eyes went over her — the fleece with the Golden Empress dragon on the breast, the reflective strip on the sleeve, the wet trainers."
2"\"And in the summer you rang me. Half eleven, and I was at Ffion's, and it was loud, and you said, are you in tonight, and I said, no, why, and you said, nothing, doesn't matter, and I said, right, love you, byeee—\" she did the voice, mercilessly, her own voice, three years younger and drunk, \"—and I went back inside.\""
3"Nia had been there for that too — the drainpipe, the wall behind the Ellises' garage, the nine-year-old scream."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount739
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.02706359945872801
lyAdverbCount3
lyAdverbRatio0.0040595399188092015
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
mean13.57
std15.61
cv1.151
sampleLengths
053
17
230
325
43
562
612
759
87
922
108
117
124
133
143
152
165
1718
184
193
2032
2110
2239
237
242
254
262
274
283
2920
305
3121
325
336
3428
352
3612
374
385
395
404
412
424
4313
4442
451
4612
475
4810
497
46.02% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.3185840707964602
totalSentences113
uniqueOpeners36
70.92% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences47
matches
0"Just filing it, the way"
ratio0.021
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount13
totalSentences47
matches
0"He was holding a glass"
1"She hung the bag on"
2"She was wearing a camel"
3"I could go up to"
4"She would never know."
5"It came out of the"
6"She came and sat, one"
7"She picked it up and"
8"She looked up at the"
9"she did the voice, mercilessly,"
10"She turned her left hand"
11"She saw Nia see it,"
12"His signet ring caught the"
ratio0.277
13.19% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount42
totalSentences47
matches
0"The rain had followed her"
1"Silas asked, without looking up"
2"He was holding a glass"
3"She hung the bag on"
4"Nia Vaughan had ordered a"
5"She was wearing a camel"
6"Rory thought: I could walk"
7"I could go up to"
8"She would never know."
9"Nia looked up."
10"Rory had done the arithmetic"
11"Nia laughed, and the laugh"
12"It came out of the"
13"Silas set a towel on"
14"Rory loved him for it."
15"She came and sat, one"
16"Nia's eyes went over her"
17"Rory turned the beer mat"
18"Nia looked at her drink."
19"She picked it up and"
ratio0.894
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences47
matches(empty)
ratio0
74.83% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences21
technicalSentenceCount2
matches
0"The rain had followed her the whole way from Wardour Street, and by the time Rory shouldered through the side door of the Raven's Nest her hair was flat against…"
1"She was wearing a camel coat that had been expensive before the rain got to it, and her hair — which had been the colour of a traffic cone the last time Rory sa…"
89.29% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags28
uselessAdditionCount2
matches
0"Silas asked, without looking up"
1"Nia laughed, and the laugh was the same, that startled bark, too loud for the room, the one that used to get them thrown out of the Students' Union"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags18
fancyCount2
fancyTags
0"Nia laughed (laugh)"
1"Nia laughed (laugh)"
dialogueSentences76
tagDensity0.237
leniency0.474
rawRatio0.111
effectiveRatio0.053
80.3095%