Run: 2026-02-19-01KHTX1T9X0MSWAEYTJCWGJMAF

Run Details

Duration:
32.6s
Cost:
$0.029571
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 Raven's Nest smelled of aged wood and spilled lager, the kind of scent that clung to your clothes long after you'd left. Rory pushed through the door, letting it swing shut behind her as she shook rain from her jacket. Her trainers squelched against the sticky floor. She'd come for a quiet pint, nothing more. The Golden Empress had been slammed with Friday night orders, and her legs ached from running up and down tower block stairwells. All she wanted was one drink and maybe a word with Silas before trudging upstairs to her flat. The bar was half-empty. A couple occupied the corner booth, heads bent together in whispered conversation. An old man nursed something amber at the counter. And there, sitting alone at a table near the photographs of Prague and Berlin, was Eva. Rory's chest tightened. She hadn't seen Eva in three years. Not since the hurried move to London, the frantic phone calls, the promises of staying close that had dissolved like sugar in rain. Eva looked up. Their eyes met. For a moment, neither moved. Then Eva stood, and Rory saw how much had changed. The wild auburn curls Eva had always refused to tame were gone, replaced by a sleek blonde bob that ended just below her chin. She wore a charcoal suit jacket over a silk blouse, tailored and expensive. Nothing like the ripped band tees and charity shop jeans she'd lived in back in Cardiff. "Christ." Eva's voice was softer than Rory remembered. "Rory?" "Eva." They stood there, separated by six tables and what felt like a lifetime. Silas emerged from behind the bar, took one look at them both, and disappeared into the back room without a word. "I didn't know you lived here." Eva gestured at the bar around them. "I mean, in Soho. I'm just—I'm in town for work." "Upstairs." Rory jerked her thumb toward the ceiling. "Above the bar." "Right. Of course." Silence stretched between them like old elastic, brittle and ready to snap. "You look good," Eva said finally. "Really good." "You look different." Eva's hand went to her hair, an old nervous habit that somehow survived whatever transformation she'd undergone. "Yeah. New job required a new look, apparently." "What job?" "Corporate law. Mergers and acquisitions." Eva sat back down, and Rory found herself moving forward, taking the chair opposite. "I'm at a firm in Manchester. Good money. Partnership track." Rory thought of her own existence—delivering chow mein in the rain, living in a flat small enough that she could touch both walls with her arms spread wide. "That's brilliant." "Is it?" Eva's mouth twisted. "Your dad must be thrilled at least. You went to law school after all?" "No." The word came out harder than intended. "I didn't." Eva blinked. "But you were going to—" "I deliver Chinese food." "Oh." The weight of that single syllable pressed down on the table between them. Rory saw Eva's eyes flick over her—the worn jacket, the grease stain on her jeans, the calluses on her hands from bicycle handlebars. "I didn't mean—" Eva started. "It's fine." "No, really, I just thought—" "You thought I'd become my father." Rory leaned back, crossed her arms. "Barrister robes and court dates and all that bollocks." "You were good at it. At arguing, I mean. You always won every debate." "Winning arguments doesn't mean you should be a lawyer." Eva's fingers traced patterns on the table, circling a water ring left by someone else's glass. "You called me. Three years ago. Middle of the night. You said you needed to get away from Cardiff, that things with Evan had gotten bad. I told you to come to London, that I'd help you find a place." "I remember." "I waited for you at King's Cross. Stood there for two hours." Eva's voice stayed level, but something underneath it cracked like river ice. "You texted me three days later saying you'd sorted it. That you didn't need help." "I didn't want to be a burden." "We were friends, Rory. Best friends. That's what friends do." Were. Past tense. Rory heard it land between them. "You stopped replying to my texts," Rory said. "After a while." "Because you'd send back one-word answers. 'Fine.' 'Busy.' 'Later.'" Eva's silk blouse shifted as she leaned forward. "What was I supposed to do with that?" The couple in the corner stood to leave, their chairs scraping against the floor. The old man at the bar called for another whisky. Silas reappeared long enough to pour it, his eyes flicking toward Rory with a question she couldn't answer. "You look tired," Eva said, softer now. "I am tired." "Are you happy?" The question hung there, impossible to answer truthfully. Rory thought about her delivery route, the way the city looked from her bicycle seat, the quiet of her flat when she came home. The absence of Evan's voice telling her she was stupid, worthless, embarrassing. The presence of Silas downstairs, steady and solid. The bizarre sort of peace she'd found in simplicity. "I'm not unhappy." "That's not the same thing." "No." Rory met Eva's eyes. "It's not." Eva's hand moved across the table, stopped halfway, retreated. "I should have tried harder. To keep in touch." "I should have let you." "Why didn't you?" Because you'd have seen the bruises. Because you'd have asked questions I didn't want to answer. Because I was ashamed and scared and couldn't bear the thought of you knowing how small I'd let myself become. "I don't know," Rory said instead. The lie settled between them like dust. Eva checked her watch—sleek, silver, probably worth more than Rory's bicycle. "I have an early meeting tomorrow. I should—" "Yeah." They stood. Eva gathered her handbag, leather and pristine. Rory shoved her hands in her pockets. "It was good to see you," Eva said. "Really." "You too." Eva walked toward the door, heels clicking against the floorboards. She paused with her hand on the handle, turned back. The green neon from the sign outside caught her face, painting her in shades of someone Rory used to know. "I'm here until Sunday. At the Savoy." Eva pulled out a business card, set it on the table nearest the door. "If you want to talk properly. Or even just—I don't know. Coffee." Rory looked at the card, at Eva's name printed in raised letters beneath a law firm's logo. "Okay." Eva nodded once and stepped into the rain. The door swung shut. Silas materialized at Rory's elbow, a pint glass in his hand. "On the house," he said. Rory took it, drank half in one go. The beer tasted bitter and familiar. "Old friend?" Silas asked. "Something like that." She didn't pick up the business card before heading upstairs. But she didn't throw it away either.
created_at"2026-02-19T12:12:31.683Z" 2/19/2026, 12:12:31 PM
model"anthropic/claude-4.5-sonnet-20250929"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2104
moderation_latency303
generation_time31944
tokens_prompt1094
tokens_completion1771
native_tokens_prompt1122
native_tokens_completion1747
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)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.029571
router(null)
provider_responses
0
endpoint_id"d8bee848-f020-454a-b2be-4a7ce868f99f"
id"7465ecaf-91de-45c1-804c-8fe80f8ee996"
is_byokfalse
latency2103
model_permaslug"anthropic/claude-4.5-sonnet-20250929"
provider_name"Amazon Bedrock"
status200
api_type"completions"
id"gen-1771503151-QzgKPzZSoYIrFhcL8NF6"
upstream_id"7465ecaf-91de-45c1-804c-8fe80f8ee996"
total_cost0.029571
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags19
adverbTagCount3
adverbTags
0"Eva said finally [finally]"
1"Rory leaned back [back]"
2"Rory said instead [instead]"
dialogueSentences62
tagDensity0.306
leniency0.613
rawRatio0.158
effectiveRatio0.097
86.88% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1143
totalAiIsmAdverbs3
found
0
adverb"really"
count3
highlights
0"really"
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)
69.38% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1143
totalAiIsms7
found
0
word"silk"
count2
1
word"silence"
count1
2
word"weight"
count1
3
word"traced"
count1
4
word"pristine"
count1
5
word"familiar"
count1
highlights
0"silk"
1"silence"
2"weight"
3"traced"
4"pristine"
5"familiar"
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
narrationSentences79
matches
0"was ashamed"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences79
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences122
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1136
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions66
wordCount800
uniqueNames15
maxNameDensity3.38
worstName"Eva"
maxWindowNameDensity5.5
worstWindowName"Eva"
discoveredNames
Raven1
Nest1
Golden1
Empress1
Friday1
Silas6
Prague1
Berlin1
Eva27
London1
Rory21
Cardiff1
Silence1
Were1
Evan1
persons
0"Raven"
1"Nest"
2"Empress"
3"Silas"
4"Eva"
5"Rory"
6"Silence"
7"Were"
8"Evan"
places
0"Prague"
1"Berlin"
2"London"
3"Cardiff"
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences59
glossingSentenceCount1
matches
0"felt like a lifetime"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1136
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences122
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs69
mean16.46
std16.12
cv0.979
sampleLengths
048
148
241
333
46
568
69
71
834
923
1011
113
1212
138
143
1525
162
1729
1830
1919
2010
217
224
231
2436
255
262
275
2821
2914
309
3156
322
3339
347
3510
369
3711
3825
3942
407
413
423
4361
443
455
467
4718
485
493
91.94% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences79
matches
0"been slammed"
1"were gone"
2"was ashamed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs147
matches(empty)
72.60% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences3
totalSentences122
ratio0.025
matches
0"Rory thought of her own existence—delivering chow mein in the rain, living in a flat small enough that she could touch both walls with her arms spread wide."
1"Rory saw Eva's eyes flick over her—the worn jacket, the grease stain on her jeans, the calluses on her hands from bicycle handlebars."
2"Eva checked her watch—sleek, silver, probably worth more than Rory's bicycle."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount804
adjectiveStacks0
stackExamples(empty)
adverbCount24
adverbRatio0.029850746268656716
lyAdverbCount3
lyAdverbRatio0.0037313432835820895
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences122
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences122
mean9.31
std6.98
cv0.75
sampleLengths
023
118
27
38
422
518
64
712
89
916
103
117
1223
133
143
155
1610
1724
1813
1916
208
211
221
2313
2421
2513
2610
278
283
293
3012
316
322
333
3417
358
362
3719
3810
3928
402
415
4214
438
442
452
465
474
481
4913
59.02% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.39344262295081966
totalSentences122
uniqueOpeners48
47.62% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences70
matches
0"Then Eva stood, and Rory"
ratio0.014
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount8
totalSentences70
matches
0"Her trainers squelched against the"
1"She'd come for a quiet"
2"She hadn't seen Eva in"
3"Their eyes met."
4"She wore a charcoal suit"
5"They stood there, separated by"
6"She paused with her hand"
7"She didn't pick up the"
ratio0.114
24.29% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount61
totalSentences70
matches
0"The Raven's Nest smelled of"
1"Rory pushed through the door,"
2"Her trainers squelched against the"
3"She'd come for a quiet"
4"The Golden Empress had been"
5"The bar was half-empty."
6"A couple occupied the corner"
7"An old man nursed something"
8"Rory's chest tightened."
9"She hadn't seen Eva in"
10"Eva looked up."
11"Their eyes met."
12"The wild auburn curls Eva"
13"She wore a charcoal suit"
14"Nothing like the ripped band"
15"Eva's voice was softer than"
16"They stood there, separated by"
17"Silas emerged from behind the"
18"Eva gestured at the bar"
19"Rory jerked her thumb toward"
ratio0.871
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences70
matches
0"Because you'd have seen the"
1"Because you'd have asked questions"
2"Because I was ashamed and"
ratio0.043
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
technicalSentenceCount1
matches
0"The wild auburn curls Eva had always refused to tame were gone, replaced by a sleek blonde bob that ended just below her chin."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags19
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount0
fancyTags(empty)
dialogueSentences62
tagDensity0.113
leniency0.226
rawRatio0
effectiveRatio0
88.3905%