Run: 2026-02-19-01KHSYYZFVBA5W7T94YB8CW2J5

Run Details

Duration:
28.8s
Cost:
$0.036012
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="4415" name="Lucien Moreau" aliases="Lucien, Luc, the Frenchman" pronouns="he/him" species="Half-Demon" storyRole="Ally"> <eyeColor>heterochromatic — one amber, one black</eyeColor> <hair>slicked-back platinum blond</hair> <height>5'11"</height> <age>32</age> <cane>ivory-handled cane that conceals a thin blade</cane> <dress>tailored charcoal suits</dress> <description>An impeccably dressed fixer and information broker in London's supernatural underworld. He speaks four languages fluently.</description> <backstory>Born in Marseille to a human mother and a demon father from the realm of Avaros.</backstory> </character> <location id="858" name="Eva's Flat" aliases="Eva's place, the flat on Brick Lane" realm="Earth"> <cat>tabby cat named Ptolemy</cat> <security>three deadbolts on the front door</security> <description>A cramped one-bedroom flat above a curry house on Brick Lane, East London. Every surface is covered with books, scrolls, and research notes.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the romance genre. Two people who parted on complicated terms are forced together again when one shows up unannounced at the other's flat. There's history between them — attraction, hurt, and things left unsaid. Write the scene from the moment the door opens. 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 scent of curry wafted up from the restaurant below as Aurora opened the door. Her breath caught. Lucien stood in the dim hallway, his platinum hair gleaming under the flickering fluorescent light. His charcoal suit was pristine as ever, but dark circles shadowed his eyes. "What are you doing here?" The words came out sharper than she intended. "Bonsoir, Aurora." His heterochromatic eyes fixed on her face. "May I come in?" She hesitated, one hand gripping the doorframe. The last time she'd seen him, he'd vanished without explanation after that night at Silas' bar. Three months of silence. "Eva's not here." "I came to see you." He leaned on his ivory-handled cane. "I heard you've been asking questions about the Avaros realm." Aurora's jaw tightened. Of course he'd heard - Lucien's web of informants stretched across London's supernatural underground. She stepped aside, letting him enter the cramped flat. Ptolemy the tabby cat arched his back and hissed from his perch atop a stack of ancient texts. Lucien paid him no mind, scanning the chaos of papers and scrolls covering every surface. "Your research is thorough." He picked up a weathered scroll. "Though some of these sources are... unreliable." "I wouldn't need to research if you'd given me answers yourself." Aurora snatched the scroll from his hand. "You disappeared. No explanation, no goodbye." His amber eye seemed to glow in the dim light. "I had my reasons." "You always do." She crossed her arms. "Why now? Why show up at Eva's flat in the middle of the night?" "Because you're in danger." He set his cane against the wall. "The questions you're asking - they've drawn attention. The wrong kind." "From your father's realm?" The words hung between them. Lucien's shoulders tensed. "Among others." He moved closer, and Aurora caught the familiar scent of his cologne - sandalwood and something otherworldly. "You need to stop digging." "Or what?" She lifted her chin. "More demons will come after me? I handled the last ones." "Barely." His voice roughened. "If I hadn't-" "If you hadn't what? Saved me? Is that why you left? To protect me?" The hurt she'd buried for months bubbled to the surface. "I never asked for your protection." "Non." He caught her wrist - her left one, his thumb brushing over the crescent scar. "But you have it all the same." Aurora's pulse jumped beneath his touch. "Let go." "Make me." The challenge in his mismatched eyes sparked memories of other nights, other touches. She jerked away. "You don't get to do this. You don't get to waltz back into my life with warnings and half-truths." "Aurora." Her name was a plea on his lips. "There are things you don't understand." "Then help me understand." She gestured at the research surrounding them. "I'm not stopping. Whatever's coming - whatever you're afraid of - I need to know." Lucien ran a hand through his slicked-back hair, disturbing its perfect arrangement. "You've always been too stubborn for your own good." "And you've always been too cryptic for yours." A ghost of a smile touched his lips. "Perhaps we're both right." He retrieved his cane. "I'll tell you what you want to know. But not here. Meet me tomorrow at sunset." "Where?" "You know where." He moved to the door, pausing with his hand on the knob. "Be careful who you trust, ma chérie. Even the walls have ears in this city." Aurora watched him disappear into the hallway, her heart pounding against her ribs. The familiar mix of frustration and attraction left her restless. Tomorrow at sunset. The same place where everything had started - and ended - three months ago. Ptolemy jumped down from his perch and wound around her ankles, purring. She scratched behind his ears, her mind already racing with possibilities. "What am I getting myself into?" she murmured. The cat just blinked at her with knowing yellow eyes.
created_at"2026-02-19T03:26:41.432Z" 2/19/2026, 3:26:41 AM
model"anthropic/claude-3.5-sonnet"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1385
moderation_latency306
generation_time28139
tokens_prompt1034
tokens_completion1020
native_tokens_prompt1062
native_tokens_completion988
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"
usage0.036012
router(null)
provider_responses
0
endpoint_id"d4fb79bd-9786-4932-af81-b83040e9f4e4"
id"37d4a4a4-3004-41e6-9458-857b24f57302"
is_byokfalse
latency1371
model_permaslug"anthropic/claude-3.5-sonnet"
provider_name"Amazon Bedrock"
status200
api_type"completions"
id"gen-1771471601-tUExVhfrgSteZ0jYTBFv"
upstream_id"37d4a4a4-3004-41e6-9458-857b24f57302"
total_cost0.036012
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
adverbTagCount0
adverbTags(empty)
dialogueSentences41
tagDensity0.463
leniency0.927
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount647
totalAiIsmAdverbs0
found(empty)
highlights(empty)
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
14.99% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount647
totalAiIsms11
found
0
word"gleaming"
count1
1
word"pristine"
count1
2
word"silence"
count1
3
word"scanning"
count1
4
word"familiar"
count2
5
word"otherworldly"
count1
6
word"pulse"
count1
7
word"perfect"
count1
8
word"pounding"
count1
9
word"racing"
count1
highlights
0"gleaming"
1"pristine"
2"silence"
3"scanning"
4"familiar"
5"otherworldly"
6"pulse"
7"perfect"
8"pounding"
9"racing"
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
emotionTells0
narrationSentences44
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences44
filterMatches(empty)
hedgeMatches
0"seemed to"
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
maxSentenceWordsSeen24
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords652
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
73.08% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions13
wordCount390
uniqueNames4
maxNameDensity1.54
worstName"Aurora"
maxWindowNameDensity2
worstWindowName"Aurora"
discoveredNames
Aurora6
Three1
Lucien5
London1
persons
0"Aurora"
1"Lucien"
places
0"Three"
1"London"
globalScore0.731
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences32
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount652
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
totalParagraphs33
mean19.76
std10.26
cv0.519
sampleLengths
046
113
213
327
43
521
626
733
817
924
1014
1121
1222
139
1427
1517
167
1730
1823
198
2015
2122
2215
2326
2421
258
2632
271
2830
2940
3023
318
3210
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences44
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs68
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences4
totalSentences66
ratio0.061
matches
0"Of course he'd heard - Lucien's web of informants stretched across London's supernatural underground."
1"\"Among others.\" He moved closer, and Aurora caught the familiar scent of his cologne - sandalwood and something otherworldly."
2"\"Non.\" He caught her wrist - her left one, his thumb brushing over the crescent scar."
3"The same place where everything had started - and ended - three months ago."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount257
adjectiveStacks0
stackExamples(empty)
adverbCount7
adverbRatio0.027237354085603113
lyAdverbCount0
lyAdverbRatio0
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
mean9.88
std5
cv0.506
sampleLengths
015
13
215
313
413
59
64
77
816
94
103
1111
1210
133
1414
159
1618
1715
1810
197
2018
216
2210
234
247
2514
2611
2711
289
293
3019
315
326
3311
344
353
3624
376
3816
397
406
412
4215
433
4419
459
466
4711
4815
4912
90.40% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.5606060606060606
totalSentences66
uniqueOpeners37
77.52% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences43
matches
0"Of course he'd heard -"
ratio0.023
33.95% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences43
matches
0"Her breath caught."
1"His charcoal suit was pristine"
2"His heterochromatic eyes fixed on"
3"She hesitated, one hand gripping"
4"He leaned on his ivory-handled"
5"She stepped aside, letting him"
6"He picked up a weathered"
7"His amber eye seemed to"
8"She crossed her arms"
9"He set his cane against"
10"He moved closer, and Aurora"
11"She lifted her chin"
12"His voice roughened"
13"He caught her wrist -"
14"She jerked away."
15"Her name was a plea"
16"She gestured at the research"
17"He retrieved his cane"
18"He moved to the door,"
19"She scratched behind his ears,"
ratio0.465
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount40
totalSentences43
matches
0"The scent of curry wafted"
1"Her breath caught."
2"Lucien stood in the dim"
3"His charcoal suit was pristine"
4"The words came out sharper"
5"His heterochromatic eyes fixed on"
6"She hesitated, one hand gripping"
7"The last time she'd seen"
8"He leaned on his ivory-handled"
9"Aurora's jaw tightened."
10"She stepped aside, letting him"
11"Ptolemy the tabby cat arched"
12"Lucien paid him no mind,"
13"He picked up a weathered"
14"Aurora snatched the scroll from"
15"His amber eye seemed to"
16"She crossed her arms"
17"He set his cane against"
18"The words hung between them"
19"Lucien's shoulders tensed."
ratio0.93
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences43
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences14
technicalSentenceCount0
matches(empty)
98.68% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags19
uselessAdditionCount1
matches
0"He caught, his thumb brushing over the crescent scar"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"she murmured (murmur)"
dialogueSentences41
tagDensity0.024
leniency0.049
rawRatio1
effectiveRatio0.049
82.9543%