Run: 2026-02-19-01KHTQS823PE15X41H0SZ20PN6

Run Details

Duration:
32.7s
Cost:
$0.040272
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 winter rain had driven most of Soho's usual crowd indoors, leaving puddles that reflected the neon signs in fractured ribbons of color. Aurora wiped down the bar counter at The Raven's Nest, the green glow from the sign outside casting shadows across the worn wood. The evening crowd hadn't arrived yet, and Silas was in his office doing inventory, leaving her alone with her thoughts and the steady drum of raindrops against the windows. The door creaked open, letting in a gust of cold air and the sound of passing traffic. Aurora looked up, the glass in her hand frozen mid-polish. The woman who walked in shook water from her umbrella, her designer coat and perfectly styled hair a stark contrast to the bar's weathered interior. "Eva?" Aurora's voice cracked slightly on the name. Eva Welsh turned, her manicured hand still on the door handle. Her eyes widened. "Rory? My God, I didn't know you were in London." The glass made a dull thud as Aurora set it down. Five years had transformed her childhood friend from the girl who used to sneak out to smoke behind the school gym into someone who looked like she'd stepped out of a fashion magazine. "I've been here almost two years now." Aurora's fingers found the crescent scar on her left wrist, a nervous habit she'd never shaken. Eva moved to the bar, her heels clicking against the floor. She perched on a stool, maintaining the perfect posture that would have made their old PE teacher proud. "Two years? Why didn't you reach out?" "You changed your number." Aurora grabbed another glass, needing something to do with her hands. "And after everything with Evan..." "I heard about that." Eva's perfectly lined lips pressed together. "I wanted to call, but by then you'd disappeared from Cardiff." "That was the point." Aurora poured two fingers of whiskey without asking, sliding the glass across to Eva. It was the same drink they'd shared the night before Eva left for London, before internships and law firms and different worlds had carved a space between them. Eva stared at the glass. "Still remember my poison." "Some things stick." Aurora leaned against the bar. "You made partner at Harrington and Cole?" "You saw that?" "LinkedIn. Congratulations." "Thanks." Eva took a careful sip. "What about you? Are you still..." "No law school, if that's what you're asking. I deliver takeout, tend bar. Nothing that would impress the old crowd." "That's not what I meant." "Isn't it?" The words came out sharper than Aurora intended. Eva's perfectly manicured fingers tightened around the glass. "I looked for you, you know. After I heard about Evan. Called your parents, but they wouldn't tell me anything." "They didn't know where I was either. Not at first." Aurora grabbed a glass for herself, breaking her own rule about drinking during shifts. "Funny how you only looked when it was too late." "That's not fair." "No?" Aurora met Eva's gaze. "You were the one who told me to come to London. 'Get away from Cardiff,' you said. 'Start fresh.' But when I finally did..." "I was drowning in cases, Rory. Seventy-hour weeks, trying to prove myself." "I needed my best friend." The silence stretched between them, filled only by the rain and distant traffic. Eva's makeup couldn't quite hide the dark circles under her eyes, the slight tremor in her hand as she lifted the glass again. "I miss who we were," Eva said quietly. "Remember that summer after A-levels? When we thought we'd conquer the world together?" "Two girls from Cardiff against the universe." Aurora's throat tightened. "Seems like a lifetime ago." "We were naive." "We were brave." From the back room came the sound of Silas' uneven footsteps, his slight limp more pronounced in the damp weather. Eva straightened, already reaching for her handbag. "I should go. I have a meeting..." "Of course." Aurora didn't move to stop her. "It was good to see you, Eva." Eva stood, smoothing her coat. She hesitated, then pulled out a business card, placing it carefully on the bar. "My personal number's on the back. If you ever want to..." "Yeah." Aurora didn't reach for the card. "Maybe." At the door, Eva paused. "Are you happy, Rory? Here?" Aurora looked around the bar, at the maps and photographs that had become more familiar than her childhood home. "I'm free. That's not nothing." Eva nodded once, a gesture heavy with understanding and regret. The door closed behind her with a soft click, leaving Aurora alone with two half-empty glasses and the weight of everything they hadn't said.
created_at"2026-02-19T10:40:27.72Z" 2/19/2026, 10:40:27 AM
model"anthropic/claude-3.5-sonnet"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency748
moderation_latency158
generation_time32542
tokens_prompt1094
tokens_completion1193
native_tokens_prompt1122
native_tokens_completion1118
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"
usage0.040272
router(null)
provider_responses
0
endpoint_id"d4fb79bd-9786-4932-af81-b83040e9f4e4"
id"321ae078-426d-4795-ad5a-aa010c15f564"
is_byokfalse
latency748
model_permaslug"anthropic/claude-3.5-sonnet"
provider_name"Amazon Bedrock"
status200
api_type"completions"
id"gen-1771497627-PwLTJBOS1zunFlwX8XsM"
upstream_id"321ae078-426d-4795-ad5a-aa010c15f564"
total_cost0.040272
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
totalTags15
adverbTagCount2
adverbTags
0"Aurora's voice cracked slightly [slightly]"
1"Eva said quietly [quietly]"
dialogueSentences41
tagDensity0.366
leniency0.732
rawRatio0.133
effectiveRatio0.098
67.62% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount772
totalAiIsmAdverbs5
found
0
adverb"perfectly"
count3
1
adverb"slightly"
count1
2
adverb"carefully"
count1
highlights
0"perfectly"
1"slightly"
2"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)
54.66% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount772
totalAiIsms7
found
0
word"fractured"
count1
1
word"stark"
count1
2
word"perfect"
count1
3
word"silence"
count1
4
word"footsteps"
count1
5
word"familiar"
count1
6
word"weight"
count1
highlights
0"fractured"
1"stark"
2"perfect"
3"silence"
4"footsteps"
5"familiar"
6"weight"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences39
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences39
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences66
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords769
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions37
wordCount491
uniqueNames8
maxNameDensity3.26
worstName"Aurora"
maxWindowNameDensity6
worstWindowName"Eva"
discoveredNames
Soho1
Raven1
Nest1
Silas1
Eva15
Welsh1
Aurora16
London1
persons
0"Silas"
1"Eva"
2"Welsh"
3"Aurora"
places
0"Soho"
1"Raven"
2"London"
globalScore0
windowScore0
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences30
glossingSentenceCount2
matches
0"looked like she'd stepped out of a fashio"
1"quite hide the dark circles under her eyes, the slight tremor in her hand as she lifted the glass again"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount769
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences66
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs37
mean20.78
std15.96
cv0.768
sampleLengths
075
152
28
324
444
523
636
720
821
946
109
1115
123
132
1412
1520
165
1710
1828
1934
203
2129
2212
235
2436
2521
2615
273
283
2927
307
3115
3230
338
3410
3524
3634
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences39
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs83
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences66
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount421
adjectiveStacks0
stackExamples(empty)
adverbCount12
adverbRatio0.028503562945368172
lyAdverbCount6
lyAdverbRatio0.014251781472684086
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences66
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences66
mean11.65
std7.72
cv0.662
sampleLengths
023
123
229
317
410
525
68
711
83
910
1011
1133
1223
1311
1418
157
1615
175
1810
1911
2018
2128
225
234
248
257
263
272
286
296
3020
315
3210
338
3420
3524
3610
373
385
3924
4012
415
4213
4323
448
4513
4610
475
483
493
71.72% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.48484848484848486
totalSentences66
uniqueOpeners32
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences39
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount4
totalSentences39
matches
0"Her eyes widened."
1"She perched on a stool,"
2"It was the same drink"
3"She hesitated, then pulled out"
ratio0.103
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount36
totalSentences39
matches
0"The winter rain had driven"
1"Aurora wiped down the bar"
2"The evening crowd hadn't arrived"
3"The door creaked open, letting"
4"Aurora looked up, the glass"
5"The woman who walked in"
6"Aurora's voice cracked slightly on"
7"Eva Welsh turned, her manicured"
8"Her eyes widened."
9"The glass made a dull"
10"Aurora's fingers found the crescent"
11"Eva moved to the bar,"
12"She perched on a stool,"
13"Aurora grabbed another glass, needing"
14"Eva's perfectly lined lips pressed"
15"Aurora poured two fingers of"
16"It was the same drink"
17"Eva stared at the glass."
18"Aurora leaned against the bar"
19"Eva took a careful sip"
ratio0.923
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences39
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences18
technicalSentenceCount4
matches
0"The winter rain had driven most of Soho's usual crowd indoors, leaving puddles that reflected the neon signs in fractured ribbons of color."
1"The evening crowd hadn't arrived yet, and Silas was in his office doing inventory, leaving her alone with her thoughts and the steady drum of raindrops against …"
2"The woman who walked in shook water from her umbrella, her designer coat and perfectly styled hair a stark contrast to the bar's weathered interior."
3"She perched on a stool, maintaining the perfect posture that would have made their old PE teacher proud."
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
totalTags2
fancyCount1
fancyTags
0"Aurora poured (pour)"
dialogueSentences41
tagDensity0.049
leniency0.098
rawRatio0.5
effectiveRatio0.049
76.4666%