Run: 2026-02-19-01KHTR2PXQ4N6AWMC7ZWHKP69F

Run Details

Duration:
32.2s
Cost:
$0.035472
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 a sickly glow through the evening drizzle. Aurora pulled her jacket tighter and ducked inside, shaking droplets from her black hair. The familiar warmth and wood-smoke scent of the bar wrapped around her like a blanket. "The usual, Rory?" Silas wiped down the counter with practiced strokes, his signet ring catching the low light. "Please." She slid onto her regular stool, second from the end. "Had the oddest delivery today. Lady ordered fifteen portions of spring rolls, then tried to pay in-" "Aurora Carter?" The voice stopped her cold. She knew that voice, though it had been - what, six years? Her fingers found the crescent scar on her left wrist, tracing its familiar curve. "Evan." He'd gained weight, his once-sharp jawline softened. The carefully styled hair she remembered had thinned, and his designer clothes had been replaced by an off-the-rack suit that pulled slightly at the buttons. But his eyes were the same. Dark. Intense. "I thought that was you." He settled onto the stool next to her, uninvited. "You look... good." Silas set her gin and tonic down with more force than necessary, ice cubes clinking against glass. "Everything alright here?" "Fine," Aurora said. "We're old friends." Silas's eyes narrowed, but he moved away, keeping within earshot as he sorted through bottles. "Friends." Evan's laugh was hollow. "Is that what we were?" "What brings you to London?" Her voice came out steady, professional. The voice she used for difficult customers. "Work conference. Legal tech symposium at the Excel Centre." He gestured to his badge, still hanging around his neck. "Still in law, obviously. Made partner last year at Davies and Hughes." His eyes swept over her delivery uniform. "And you're..." "Happy." The word hung between them like smoke. Evan's fingers drummed against the bar top - the same nervous tic she remembered from their university days, when he'd pace their tiny flat rehearsing for moot court. "You disappeared." His voice dropped lower. "No goodbye, no note. Just emptied your drawers and vanished. Your father-" "Don't." The gin burned her throat. "You don't get to talk about my father." "He was worried sick. We all were." "Worried I'd tell someone about the bruises?" Behind the bar, Silas paused in his work, his shoulders tensing. Evan leaned closer. "I've changed, Rory. Anger management, therapy, the works. I'm married now. Two kids." "Congratulations." The word tasted like ash. "I've wanted to apologize for years. What I did - who I was then-" He reached for her hand. Aurora pulled back, the stool scraping against wood. "Don't." "Just let me-" "The lady said don't." Silas's voice carried the quiet authority of someone used to being obeyed. His hazel eyes fixed on Evan, one hand resting on the bar top near Aurora's drink. Evan straightened, lawyer mask sliding into place. "This is a private conversation." "Not in my bar, it isn't." Aurora stood, fishing notes from her pocket. "I should go." "Rory, please." Evan's voice cracked. "I just want to make things right." She paused, studying the man who had once been the center of her world. The boy who'd quoted Shakespeare and brought her coffee in bed. The man whose temper had turned her world to breaking glass and midnight escapes. "Some things can't be made right, Evan. They can only be lived with." She left him at the bar, the neon sign painting his reflection green in the window as she stepped back into the rain. Behind her, she heard Silas's uneven footsteps - that familiar slight drag of his left leg - as he moved to ensure Evan didn't follow. The rain washed her face clean of tears she hadn't realized she'd shed.
created_at"2026-02-19T10:45:37.851Z" 2/19/2026, 10:45:37 AM
model"anthropic/claude-3.5-sonnet"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency835
moderation_latency177
generation_time32024
tokens_prompt1094
tokens_completion983
native_tokens_prompt1122
native_tokens_completion958
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"
usage0.035472
router(null)
provider_responses
0
endpoint_id"d4fb79bd-9786-4932-af81-b83040e9f4e4"
id"6d3b5150-142c-449a-8171-efd07caf8073"
is_byokfalse
latency835
model_permaslug"anthropic/claude-3.5-sonnet"
provider_name"Amazon Bedrock"
status200
api_type"completions"
id"gen-1771497937-GNAQOT8tUrrA40wUEZzj"
upstream_id"6d3b5150-142c-449a-8171-efd07caf8073"
total_cost0.035472
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
totalTags13
adverbTagCount1
adverbTags
0"The word tasted like [like]"
dialogueSentences35
tagDensity0.371
leniency0.743
rawRatio0.077
effectiveRatio0.057
83.90% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount621
totalAiIsmAdverbs2
found
0
adverb"carefully"
count1
1
adverb"slightly"
count1
highlights
0"carefully"
1"slightly"
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)
35.59% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount621
totalAiIsms8
found
0
word"familiar"
count3
1
word"warmth"
count1
2
word"tracing"
count1
3
word"weight"
count1
4
word"footsteps"
count1
5
word"ensure"
count1
highlights
0"familiar"
1"warmth"
2"tracing"
3"weight"
4"footsteps"
5"ensure"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences42
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences42
filterMatches(empty)
hedgeMatches(empty)
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
totalWords622
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions21
wordCount439
uniqueNames6
maxNameDensity1.59
worstName"Evan"
maxWindowNameDensity3
worstWindowName"Evan"
discoveredNames
Raven1
Nest1
Silas6
Aurora5
Evan7
Shakespeare1
persons
0"Raven"
1"Nest"
2"Silas"
3"Aurora"
4"Evan"
5"Shakespeare"
places(empty)
globalScore0.703
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences31
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount622
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences63
matches
0"knew that voice"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs35
mean17.77
std13.03
cv0.733
sampleLengths
045
118
228
32
431
51
640
717
820
96
1015
1110
1218
1340
141
1535
1618
1714
187
197
2011
2116
226
2319
249
253
2632
2712
286
2910
3012
3139
3213
3348
3413
88.55% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences42
matches
0"been replaced"
1"being obeyed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs81
matches(empty)
6.80% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences3
totalSentences63
ratio0.048
matches
0"She knew that voice, though it had been - what, six years?"
1"Evan's fingers drummed against the bar top - the same nervous tic she remembered from their university days, when he'd pace their tiny flat rehearsing for moot court."
2"Behind her, she heard Silas's uneven footsteps - that familiar slight drag of his left leg - as he moved to ensure Evan didn't follow."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount439
adjectiveStacks0
stackExamples(empty)
adverbCount10
adverbRatio0.022779043280182234
lyAdverbCount3
lyAdverbRatio0.00683371298405467
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
mean9.87
std6.65
cv0.673
sampleLengths
016
114
215
318
411
517
62
75
812
914
101
117
1225
136
141
151
1614
173
1817
193
203
213
2215
235
245
2511
267
2719
2819
292
301
317
3228
336
3412
356
368
377
387
3911
403
4113
426
4319
448
451
463
4716
4816
497
89.42% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.5555555555555556
totalSentences63
uniqueOpeners35
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences39
matches(empty)
ratio0
86.67% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount13
totalSentences39
matches
0"She slid onto her regular"
1"She knew that voice, though"
2"Her fingers found the crescent"
3"He'd gained weight, his once-sharp"
4"He settled onto the stool"
5"Her voice came out steady,"
6"He gestured to his badge,"
7"His eyes swept over her"
8"His voice dropped lower"
9"He reached for her hand"
10"His hazel eyes fixed on"
11"She paused, studying the man"
12"She left him at the"
ratio0.333
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount36
totalSentences39
matches
0"The green neon sign of"
1"Aurora pulled her jacket tighter"
2"The familiar warmth and wood-smoke"
3"Silas wiped down the counter"
4"She slid onto her regular"
5"The voice stopped her cold."
6"She knew that voice, though"
7"Her fingers found the crescent"
8"He'd gained weight, his once-sharp"
9"The carefully styled hair she"
10"He settled onto the stool"
11"Silas set her gin and"
12"Silas's eyes narrowed, but he"
13"Evan's laugh was hollow"
14"Her voice came out steady,"
15"The voice she used for"
16"He gestured to his badge,"
17"His eyes swept over her"
18"The word hung between them"
19"Evan's fingers drummed against the"
ratio0.923
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences39
matches(empty)
ratio0
58.82% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences17
technicalSentenceCount2
matches
0"The carefully styled hair she remembered had thinned, and his designer clothes had been replaced by an off-the-rack suit that pulled slightly at the buttons."
1"The boy who'd quoted Shakespeare and brought her coffee in bed."
9.62% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount3
matches
0"Silas wiped, his signet ring catching the low light"
1"He settled, uninvited"
2"Her voice came out, professional"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences35
tagDensity0.029
leniency0.057
rawRatio0
effectiveRatio0
77.5344%