Run: 2026-02-19-01KHTR30P6TMV5RGGN2MHVPEKG

Run Details

Duration:
36.9s
Cost:
$0.039492
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 sign of The Raven's Nest cast an ethereal glow across the wet pavement. Aurora wiped down the bar counter, her fingers catching on the worn patches where countless glasses had scraped the wood. The evening crowd had thinned to a handful of regulars nursing their drinks in corners, leaving only the soft jazz from the speakers to fill the air. The bell above the door chimed. Aurora glanced up, then froze. The glass in her hand nearly slipped from her grasp. "Just a whiskey, neat." The woman's voice carried across the bar, familiar yet different - sharper, more polished. She settled onto a barstool, her designer coat draped precisely over the back. "Eva?" Aurora's throat tightened around the name. Eva's perfectly manicured hand paused midway to her phone. She looked up, really looked, and her carefully composed expression cracked. "Rory? My God, I barely recognized you." Aurora poured the whiskey with mechanical precision, buying time to steady her hands. "It's been what - three years?" "Three years, four months." Eva's laugh held an edge. "Not that I'm counting." The silence stretched between them like a taut wire. Aurora noticed the wedding ring first, then the subtle designer label on Eva's silk blouse, the careful highlights in her hair. Gone was the girl who used to share cigarettes with her on fire escapes, who wore combat boots with sundresses and dreamed of becoming a photographer. "You look..." Aurora gestured vaguely. "Corporate?" Eva's smile didn't reach her eyes. "That's what happens when you sell out to a hedge fund. The money's good, though." Aurora set down the whiskey. Their fingers brushed as Eva reached for the glass, and for a moment, the years seemed to collapse. "Still tending bar?" Eva's tone was carefully neutral. "Among other things." Aurora's hand drifted to her wrist, thumb brushing the crescent scar they both pretended not to notice. "I deliver for a Chinese restaurant too. Not exactly the law career Dad planned." "I remember." Eva took a long sip. "You were always too good for that anyway. Too wild, too real." The word 'real' hung between them like an accusation. Silas emerged from his office, his slight limp more pronounced in the evening hours. His eyebrows rose at the tension crackling across his bar, but he simply nodded at Aurora and retreated to the far end to sort through invoices. "I saw your wedding announcement," Aurora said finally. "In The Times. Thomas Whitmore III, right? Finance?" "Tom." Eva twisted her ring. "He's... stable. Dependable." "Everything Evan wasn't?" Eva's shoulders stiffened. "That's not fair, Rory. You disappeared. One phone call, one cryptic message about needing space, and then nothing. Three years of nothing." "You knew why I had to leave." Aurora's voice dropped. "You're the one who told me to go." "I told you to get away from him, not to vanish from my life." Eva's carefully constructed facade cracked further. "I looked for you. Called hospitals, mutual friends. Your parents wouldn't tell me anything." "I couldn't-" Aurora stopped, aware of the few remaining patrons. "I couldn't be that person anymore. The one who let him-" "So you became someone else entirely?" Eva drained her glass. "The Rory I knew wouldn't hide behind a bar in Soho." "The Eva I knew wouldn't be wearing Chanel and judging people for honest work." They stared at each other across the scarred wood, the weight of unspoken words pressing down like storm clouds. Eva reached for her coat. "I should go. Tom's waiting." "Of course he is." Aurora gathered the empty glass, noticed the smudge of expensive lipstick on the rim. "It was good to see you, Eva." "Was it?" Eva stood, straightening her coat with precise movements. She placed a business card on the bar. "My number. If you ever want to talk about who we used to be." Aurora watched her walk away, heels clicking against the floor, until the door closed behind her. The business card sat on the bar like a challenge, or perhaps a lifeline. She picked it up, ran her thumb over the embossed letters, then slipped it into her pocket. Silas appeared beside her, his signet ring catching the light as he poured himself a drink. "Old friends are like old wounds, Rory. Sometimes they heal clean, sometimes they leave scars." Aurora touched her wrist, feeling the raised edge of her own scar beneath her sleeve. "And sometimes they're both at once."
created_at"2026-02-19T10:45:47.85Z" 2/19/2026, 10:45:47 AM
model"anthropic/claude-3.5-sonnet"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency975
moderation_latency176
generation_time36312
tokens_prompt1094
tokens_completion1155
native_tokens_prompt1122
native_tokens_completion1092
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"
usage0.039492
router(null)
provider_responses
0
endpoint_id"d4fb79bd-9786-4932-af81-b83040e9f4e4"
id"841d81d0-b57e-433e-b6a4-9ed2365ae7b3"
is_byokfalse
latency974
model_permaslug"anthropic/claude-3.5-sonnet"
provider_name"Amazon Bedrock"
status200
api_type"completions"
id"gen-1771497947-1YstZIxPAL5lZ9TGXhQY"
upstream_id"841d81d0-b57e-433e-b6a4-9ed2365ae7b3"
total_cost0.039492
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"

Evaluation details

Result Evaluator Details Meta Data
33.33% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags15
adverbTagCount3
adverbTags
0"Aurora's throat tightened around [around]"
1"Aurora gestured vaguely [vaguely]"
2"Aurora said finally [finally]"
dialogueSentences36
tagDensity0.417
leniency0.833
rawRatio0.2
effectiveRatio0.167
59.46% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount740
totalAiIsmAdverbs6
found
0
adverb"precisely"
count1
1
adverb"perfectly"
count1
2
adverb"really"
count1
3
adverb"carefully"
count3
highlights
0"precisely"
1"perfectly"
2"really"
3"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)
39.19% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount740
totalAiIsms9
found
0
word"familiar"
count1
1
word"mechanical"
count1
2
word"silence"
count1
3
word"silk"
count1
4
word"tension"
count1
5
word"constructed"
count1
6
word"facade"
count1
7
word"weight"
count1
8
word"unspoken"
count1
highlights
0"familiar"
1"mechanical"
2"silence"
3"silk"
4"tension"
5"constructed"
6"facade"
7"weight"
8"unspoken"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"weight of words/silence"
count1
highlights
0"the weight of unspoken words"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences43
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences43
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences63
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen27
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords742
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions32
wordCount475
uniqueNames5
maxNameDensity3.16
worstName"Aurora"
maxWindowNameDensity5
worstWindowName"Eva"
discoveredNames
Raven1
Nest1
Eva13
Aurora15
Silas2
persons
0"Raven"
1"Nest"
2"Eva"
3"Aurora"
4"Silas"
places(empty)
globalScore0
windowScore0
66.67% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences30
glossingSentenceCount1
matches
0"appeared beside her, his signet ring catching the light as he poured himself a drink"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount742
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences63
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs32
mean23.19
std13.86
cv0.598
sampleLengths
063
121
231
37
427
519
613
756
85
922
1023
118
1234
1319
149
1540
1616
178
183
1925
2018
2134
2221
2321
2414
2519
2610
2725
2832
2947
3031
3121
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences43
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs90
matches(empty)
97.51% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences63
ratio0.016
matches
0"\"Just a whiskey, neat.\" The woman's voice carried across the bar, familiar yet different - sharper, more polished."
94.55% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount411
adjectiveStacks0
stackExamples(empty)
adverbCount19
adverbRatio0.046228710462287104
lyAdverbCount8
lyAdverbRatio0.019464720194647202
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences63
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences63
mean11.78
std5.97
cv0.507
sampleLengths
016
120
227
36
45
510
618
713
87
99
1011
117
1213
136
149
154
169
1721
1826
195
207
2115
225
2318
248
2520
2614
277
2812
299
3014
3126
328
338
345
353
363
373
3822
3910
408
4120
4214
4310
4411
4510
4611
4714
4819
495
66.67% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.47619047619047616
totalSentences63
uniqueOpeners30
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences42
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount7
totalSentences42
matches
0"She settled onto a barstool,"
1"She looked up, really looked,"
2"Their fingers brushed as Eva"
3"His eyebrows rose at the"
4"They stared at each other"
5"She placed a business card"
6"She picked it up, ran"
ratio0.167
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount41
totalSentences42
matches
0"The green neon sign of"
1"Aurora wiped down the bar"
2"The evening crowd had thinned"
3"The bell above the door"
4"Aurora glanced up, then froze."
5"The glass in her hand"
6"The woman's voice carried across"
7"She settled onto a barstool,"
8"Aurora's throat tightened around the"
9"Eva's perfectly manicured hand paused"
10"She looked up, really looked,"
11"Aurora poured the whiskey with"
12"Eva's laugh held an edge"
13"The silence stretched between them"
14"Aurora noticed the wedding ring"
15"Aurora gestured vaguely"
16"Eva's smile didn't reach her"
17"Aurora set down the whiskey."
18"Their fingers brushed as Eva"
19"Eva's tone was carefully neutral"
ratio0.976
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences42
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences18
technicalSentenceCount1
matches
0"Gone was the girl who used to share cigarettes with her on fire escapes, who wore combat boots with sundresses and dreamed of becoming a photographer."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags15
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences36
tagDensity0.028
leniency0.056
rawRatio0
effectiveRatio0
78.5790%