Run: 2026-04-24-01KPZTVVSP36TWQCTTBNWF3F36

Run Details

Duration:
34.9s
Cost:
$0.073415
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 rain on the window, throwing sickly light over the scarred oak of the bar. Aurora was halfway through her second whisky when the door opened and she felt, rather than saw, the weather change. A gust of London damp, the smell of cigarettes, and the particular silence that arrived with someone who recognised her. She didn't look up. She'd learned, in her year of looking over her shoulder, that you never gave a watcher the satisfaction of your face until you'd already mapped their reflection in whatever glass was nearest. The bottle behind Silas' bar did well enough. A woman, tall, wrapped in a camel coat that had been expensive once and still pretended to be. Short blonde hair where there'd been a heavy copper plait. Red lipstick. Red lipstick, on Eva. "Jesus," Eva said. "It's actually you." Aurora set the glass down. "Hello, Ev." "Don't 'hello Ev' me like we had coffee last Tuesday." Eva slid onto the stool beside her without being asked, shrugging the coat off one shoulder. She smelled like something citrus and expensive. "Four years, Rory. Four. And your number's dead and your mother says she doesn't know and—" "My mother doesn't know." "I gathered." Eva lifted two fingers at Silas, who was polishing a glass with the unhurried attention of a man listening to everything. "Whatever she's having. And a water." "Water?" Aurora arched an eyebrow. "You used to drink me under." "I used to do a lot of things." Eva's mouth pulled at one corner, not quite a smile. "How did I find you, by the way. In case you were wondering. I wasn't looking. I was meeting a client across the road and he cancelled and it was raining and the sign was green and I thought, well, that's ominous enough for a Tuesday." "A client." "I'm at Herrington and Vale. Three years now." Eva waited, and when Aurora didn't offer anything, she gave a small, tight laugh. "Right. You wouldn't know. Solicitor. Property, mostly. I'm very boring and I wear tights and I have a mortgage in Clapham." Silas placed a whisky and a water in front of her and drifted to the far end of the bar without a word. Aurora was grateful for him, for the way his absence was also a kind of presence, a hand on the small of her back she couldn't quite feel. "You hated property law," Aurora said. "In second year, you wrote an essay so scathing about easements that Professor Mackie made you come to his office." "I remember." Eva turned the water glass in small, precise rotations. "I remember a lot of things. You in that awful yellow coat. You swearing you'd never practise. You saying the only thing worse than being a barrister was being your father." "And yet." "And yet." Eva lifted the water, drank, set it down. Her nails were short and buffed. No rings. "I couldn't find you, Rory. I tried. At first I tried, I mean. I rang Evan." Aurora's hand went very still around her glass. "I know," Eva said quickly. "I know now. He told me you'd gone to visit your aunt in Galway and that you were in a bad way and not to ring. And I believed him, because he was charming on the phone and I was twenty-three and stupid and it was easier to believe him than to drive to Cardiff. And then a year passed, and then another, and by the time I thought about it properly I didn't know how to start. I'm sorry." The apology sat between them like something breakable. "You told me to come to London," Aurora said. "In your last email. You said if I ever needed to get out, come to you." "I did say that." "I came." Eva looked at her then, properly, the way people look at a painting when they've finally understood what it's of. "When." "Eleven months ago." "Christ." Eva pressed the heel of her hand against her eye. Her mascara didn't smudge. "Christ, Rory. Where did you—how did you—" "A man took me in." Aurora nodded toward the far end of the bar. "I live upstairs. I deliver Chinese food for a woman called Yu-Fei. I read novels. I am, by every metric you'd recognise, doing nothing with my life." "That's not—" "It's fine." Aurora meant it, or wanted to, which was nearly the same thing. "It's the first time in a long time something has been fine." Eva's throat worked. "I looked you up, you know. On LinkedIn, like an idiot. I thought you'd be somewhere. Magic Circle, probably. You were the cleverest of us." "I was the most frightened of us," Aurora said. "Those aren't the same thing, though they look similar from the outside." Eva laughed, a small wet sound. "God, you always did that. Say something that sounded like a fortune cookie and meant it." "I missed you, Ev." "Don't." "I did." "Don't, Rory, because I will cry in this bar and I have a deposition in the morning." Eva drank the whole water in one go and set the glass down too hard. "I used to tell people about you. At parties. 'My best friend is going to be a QC one day and she'll defend me when I murder my flatmate.' And then I stopped telling people about you because it started to sound like I was making you up. Like you were an imaginary friend." "I wasn't imaginary. I was just quiet." "You were gone." "Yes." Aurora turned her glass between her fingers, watched the amber catch the green from the window. "I was gone." Silence then, the particular kind that old friends could wear without flinching. The rain picked up against the glass. Somewhere in the back, Silas ran water in a sink, deliberately loud, giving them the pretence of privacy. "He hit you," Eva said at last. Not a question. "Among other things." "I should have—" "Eva." Aurora put her hand over Eva's on the bar. The knuckles were thinner than she remembered. "If you write that sentence in your head one more time, I will leave. I swear to God. You didn't know. I didn't let you know. I made a career of not letting anyone know." Eva turned her hand up and laced their fingers. The small crescent scar on Aurora's wrist caught the light; Eva's thumb found it without looking, a motion so old it was almost embarrassing. "We were going to share a flat in Islington," Eva said. "We were going to have a cat called Bartholomew." "We were going to be insufferable." "We managed insufferable without the flat." Aurora squeezed her hand once and let go. "Tell me about your boring mortgage. Tell me about the tights." Eva exhaled something that was almost a laugh. She wiped her cheek with the back of her wrist, quickly, the way someone does when they've decided they aren't crying. "The tights are appalling. The mortgage is worse. There's a man, sort of. He's called Dominic and he has opinions about wine." "Dominic." "I know." "Dominic." "I said I know." Eva picked up the whisky at last, the one Silas had poured, and considered it like a stranger. "One drink. Then I'm going home. And you're going to give me your number, your real one, and I am going to ring it, and you are going to answer." "Yes." "Say it properly." "I'll answer, Ev." Eva drank. Her eyes closed against the burn of it, and for a moment Aurora could see the girl she'd been at nineteen, freckled and loud and certain of everything, sitting inside the woman with the camel coat and the buffed nails, the way a candle sat inside a lantern. Then Eva opened her eyes and she was thirty again, and tired, and here. "You look well," Eva said. "That's the terrible thing. You look well." "So do you." "Liar." "Yes," Aurora agreed, and for the first time in a long time her smile reached her eyes. "But a kind one."
created_at"2026-04-24T13:29:00.482Z" 4/24/2026, 1:29:00 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency809
moderation_latency(null)
generation_time34864
tokens_prompt1094
tokens_completion1965
native_tokens_prompt1553
native_tokens_completion2626
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"
usage0.073415
router(null)
provider_responses
0
endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"99eea84a-0e81-488c-afcc-954543fe5589"
is_byokfalse
latency809
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-1777037340-0HqCZsBjExlTM5Y4VV8X"
session_id(null)
api_type"completions"
id"gen-1777037340-PoZaygWfUZEGQtiaRyfF"
upstream_id"99eea84a-0e81-488c-afcc-954543fe5589"
total_cost0.073415
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags24
adverbTagCount1
adverbTags
0"Eva said quickly [quickly]"
dialogueSentences75
tagDensity0.32
leniency0.64
rawRatio0.042
effectiveRatio0.027
81.54% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1354
totalAiIsmAdverbs5
found
0
adverb"very"
count2
1
adverb"quickly"
count2
2
adverb"deliberately"
count1
highlights
0"very"
1"quickly"
2"deliberately"
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)
88.92% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1354
totalAiIsms3
found
0
word"silence"
count2
1
word"eyebrow"
count1
highlights
0"silence"
1"eyebrow"
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
narrationSentences58
matches
0"was grateful"
93.60% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences58
filterMatches
0"look"
hedgeMatches
0"tended to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences109
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen81
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1353
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions27
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions47
wordCount640
uniqueNames5
maxNameDensity3.75
worstName"Eva"
maxWindowNameDensity5.5
worstWindowName"Eva"
discoveredNames
London1
Eva24
Aurora17
Silas4
Silence1
persons
0"Eva"
1"Aurora"
2"Silas"
places
0"London"
globalScore0
windowScore0
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences39
glossingSentenceCount3
matches
0"smelled like something citrus and expensiv"
1"not quite a smile"
2"quite feel"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1353
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences109
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs61
mean22.18
std23.02
cv1.038
sampleLengths
060
178
26
37
449
54
629
711
864
92
1043
1151
1226
1342
142
1534
168
1785
188
1925
204
212
2221
233
2422
2541
262
2726
2828
2921
3022
314
321
332
3486
357
363
3720
3837
3910
403
413
4252
4333
4411
459
466
4725
4851
491
99.21% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences58
matches
0"being asked"
82.01% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs113
matches
0"was polishing"
1"was almost embarrassing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences109
ratio0.009
matches
0"The small crescent scar on Aurora's wrist caught the light; Eva's thumb found it without looking, a motion so old it was almost embarrassing."
97.08% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount600
adjectiveStacks0
stackExamples(empty)
adverbCount26
adverbRatio0.043333333333333335
lyAdverbCount8
lyAdverbRatio0.013333333333333334
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences109
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences109
mean12.41
std12.47
cv1.004
sampleLengths
020
120
220
34
432
58
618
710
82
94
103
113
125
132
1426
157
1616
174
1823
196
205
216
2218
2346
242
2522
2621
2723
2828
296
3020
3111
3231
332
3410
356
362
3716
388
395
4080
418
429
4316
444
452
4620
471
483
4911
59.33% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.42201834862385323
totalSentences109
uniqueOpeners46
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences49
matches
0"Somewhere in the back, Silas"
1"Then Eva opened her eyes"
ratio0.041
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount7
totalSentences49
matches
0"She didn't look up."
1"She'd learned, in her year"
2"She smelled like something citrus"
3"Her nails were short and"
4"Her mascara didn't smudge."
5"She wiped her cheek with"
6"Her eyes closed against the"
ratio0.143
21.22% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount43
totalSentences49
matches
0"The green neon bled through"
1"Aurora was halfway through her"
2"A gust of London damp,"
3"She didn't look up."
4"She'd learned, in her year"
5"The bottle behind"
6"A woman, tall, wrapped in"
7"Aurora set the glass down."
8"Eva slid onto the stool"
9"She smelled like something citrus"
10"Eva lifted two fingers at"
11"Aurora arched an eyebrow"
12"Eva's mouth pulled at one"
13"Eva waited, and when Aurora"
14"Silas placed a whisky and"
15"Aurora was grateful for him,"
16"Eva turned the water glass"
17"Eva lifted the water, drank,"
18"Her nails were short and"
19"Aurora's hand went very still"
ratio0.878
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences49
matches(empty)
ratio0
47.62% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences15
technicalSentenceCount2
matches
0"A gust of London damp, the smell of cigarettes, and the particular silence that arrived with someone who recognised her."
1"A woman, tall, wrapped in a camel coat that had been expensive once and still pretended to be."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags24
uselessAdditionCount1
matches
0"Eva's mouth pulled, not quite a smile"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags11
fancyCount3
fancyTags
0"Eva slid (slide)"
1"Eva pressed (press)"
2"Aurora agreed (agree)"
dialogueSentences75
tagDensity0.147
leniency0.293
rawRatio0.273
effectiveRatio0.08
82.3509%