Run: 2026-07-01-01KWE8VB2S6422GMVN871TPD7H

Run Details

Duration:
30.6s
Cost:
$0.022314
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 three deadbolts took Rory longer than usual to work through, her fingers still stiff from the cold delivery run across half of Shoreditch. When she finally hauled the door open, ready to complain to Eva about the state of the stairwell, she found Lucien Moreau standing there instead, rain beading on the shoulders of his charcoal suit like he'd walked through the storm out of spite for umbrellas. "You've got the wrong flat." "I don't think I do." He didn't move, didn't reach for the doorframe or try to charm his way past her. Just stood there, amber eye catching the hallway light, black eye swallowing it whole. Ptolemy picked that moment to slink between Rory's ankles and out into the hall, sniffing once at Lucien's shoes before deciding he wasn't worth the trouble. "Eva's not here." "I didn't come for Eva." "Right." Rory crossed her arms, leaning into the doorframe like it might hold up the rest of her argument. "Because the last time I saw you, you told me finding you again would be a mistake. Your words. Very dramatic. I remember because I actually wrote it down, wondering if I'd need it as evidence one day." "Evidence of what?" "That you're insufferable." The corner of his mouth twitched, not quite a smile. "I've been called worse. Usually by you." "Usually deserved." Behind her, the flat exhaled its usual chaos — stacks of Eva's research notes leaning like drunk soldiers, candle wax pooled on saucers, the smell of old paper and cardamom from the curry house below seeping through the floorboards. Rory didn't invite him in. She didn't close the door either, which she supposed said more than she wanted it to. "How did you even find this address?" "I'm an information broker, Aurora. Finding addresses is somewhat the point of my existence." "Finding addresses of people who don't want to be found, you mean." "You didn't say you didn't want to be found. You said I was insufferable." He shifted his weight onto the cane, though she'd seen him walk fine without it plenty of times. A prop. Everything about Lucien was a prop, right down to the way he tucked his hands into his pockets like he had nowhere else particular to be, when she knew for a fact he always had somewhere else to be. "Two very different statements." "Fine. I don't want to be found. Better?" "Not particularly." Rain dripped off the edge of his cane, tapping the floor in a rhythm that filled the silence she didn't know how to fill herself. She remembered the last time they'd stood close like this — a warehouse near the Thames, the smell of blood and ozone, his hand closing over her wrist right where the crescent scar sat, and the words that came after that she'd spent three weeks trying to forget. "You could've called." "You never gave me your number." "That was rather the point, Lucien." "I know." He said it simply, without the usual practiced ease, like the admission cost him something. "I came to apologise." "You don't apologise. It's not in your nature. You told me that yourself, over wine, like it was something to be proud of." "I'm making an exception." "For what?" "For you." The words landed somewhere in her chest she didn't want them to reach. She hated how easily he still did that — dismantled her irritation with three plain words and that infuriating stillness he wore like a second suit. She thought of Evan, briefly, unwillingly, the way his voice used to soften right before it turned cruel, and she made herself hold onto the memory long enough to steady her spine. "You don't get to just show up. Rain-soaked and repentant. Like this is a film." "Would you prefer sunshine?" "I'd prefer honesty." That, finally, made him go quiet. He looked past her, into the flat, at the chaos of Eva's research, then back to her face like he was recalibrating something. "I told you finding me again would be a mistake because I believed it. Not because I wanted you gone." His voice dropped, losing some of its polish. "There are things in my world that follow me, Aurora. Things that would very much enjoy using you against me. I thought pushing you away kept you safe. It was, in retrospect, an idiot's logic." "You could've just said that. Instead of being cryptic and infuriating." "Would you have believed me?" She opened her mouth to say yes, then stopped, because she wasn't sure that was true. Three weeks of stewing had a way of hardening things. "I don't know." "Fair." The rain kept falling behind him, streaking down the stairwell window at the end of the hall, and Rory became aware of how close he'd drifted without either of them noticing, close enough that she could smell cedar and rain and something faintly sulphuric that always clung to him no matter how many times he changed his cologne. "Why now?" "Because I heard you were asking around for me. Through channels you shouldn't have access to, I might add. Which means either you missed my insufferable company —" "Don't push it." "— or you're in trouble and too proud to say so." Rory's jaw tightened. She hated that he could still read her like that, hated more that he wasn't wrong. There'd been a man following her deliveries for the Golden Empress the past two days, a man with eyes that didn't quite catch the light right, and she'd asked around, quietly, hoping word wouldn't travel back to the one person she'd been trying so hard not to think about. "It's not your problem." "Everything that concerns you is my problem. Apparently. Against my better judgement." She stared at him, rain-damp and stubborn and infuriatingly present, and felt the argument she'd been building for weeks lose its footing entirely. "You'd better come in, then. Before Eva's neighbours start talking." She stepped back, holding the door, and Lucien crossed the threshold like he'd never doubted he would.
created_at"2026-07-01T07:21:14.597Z" 7/1/2026, 7:21:14 AM
model"anthropic/claude-sonnet-5-20260630"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1374
moderation_latency(null)
generation_time30540
tokens_prompt1034
tokens_completion1535
native_tokens_prompt1467
native_tokens_completion1938
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)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"end_turn"
service_tier"default"
usage0.022314
router(null)
provider_responses
0
endpoint_id"37b16f45-eeae-45f3-9b85-2137f7c6d61b"
id"msg_015dKFfiVgMevFcnDu9tDrmy"
is_byokfalse
latency1374
model_permaslug"anthropic/claude-sonnet-5-20260630"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.17.0; linux; x64))"
http_referer(null)
request_id"req-1782890474-23hx1Y7mqLsfEeYOjA6F"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1782890474-It61cJ61LpBq5Ic5STQe"
upstream_id"msg_015dKFfiVgMevFcnDu9tDrmy"
total_cost0.022314
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences42
tagDensity0.095
leniency0.19
rawRatio0
effectiveRatio0
85.13% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1009
totalAiIsmAdverbs3
found
0
adverb"very"
count3
highlights
0"very"
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)
80.18% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1009
totalAiIsms4
found
0
word"charm"
count1
1
word"weight"
count1
2
word"silence"
count1
3
word"practiced ease"
count1
highlights
0"charm"
1"weight"
2"silence"
3"practiced ease"
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
narrationSentences31
matches(empty)
96.77% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences31
filterMatches(empty)
hedgeMatches
0"try to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences68
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen58
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1012
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions17
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions19
wordCount670
uniqueNames9
maxNameDensity0.9
worstName"Rory"
maxWindowNameDensity2
worstWindowName"Rory"
discoveredNames
Rory6
Shoreditch1
Eva3
Lucien4
Moreau1
Thames1
Evan1
Golden1
Empress1
persons
0"Rory"
1"Eva"
2"Lucien"
3"Moreau"
4"Evan"
places
0"Thames"
globalScore1
windowScore1
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences28
glossingSentenceCount2
matches
0"not quite a smile"
1"quite catch the light right, and she'd asked around, quietly, hoping word wouldn't travel back to the one person she'd been trying so hard not to think about"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1012
matches(empty)
68.63% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences68
matches
0"picked that moment"
1"hated that he"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs49
mean20.65
std23.88
cv1.156
sampleLengths
069
15
25
356
43
55
657
73
83
917
102
1160
127
1314
1412
1577
168
172
1873
193
206
216
2221
2323
244
252
262
2771
2815
294
303
3129
3263
3311
345
3526
363
371
3858
392
4028
413
4211
4368
444
4512
4623
4710
4817
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences31
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs119
matches
0"was recalibrating"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences4
totalSentences68
ratio0.059
matches
0"Behind her, the flat exhaled its usual chaos — stacks of Eva's research notes leaning like drunk soldiers, candle wax pooled on saucers, the smell of old paper and cardamom from the curry house below seeping through the floorboards."
1"She remembered the last time they'd stood close like this — a warehouse near the Thames, the smell of blood and ozone, his hand closing over her wrist right where the crescent scar sat, and the words that came after that she'd spent three weeks trying to forget."
2"She hated how easily he still did that — dismantled her irritation with three plain words and that infuriating stillness he wore like a second suit."
3"\"— or you're in trouble and too proud to say so.\""
84.54% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount659
adjectiveStacks0
stackExamples(empty)
adverbCount38
adverbRatio0.057663125948406675
lyAdverbCount10
lyAdverbRatio0.015174506828528073
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences68
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences68
mean14.88
std13.64
cv0.917
sampleLengths
024
145
25
35
416
514
626
73
85
919
1038
113
123
1310
147
152
1639
175
1816
197
2014
2112
2232
232
2439
254
268
272
2825
2948
303
316
326
3317
344
3523
364
372
382
3913
4026
4132
4215
434
443
456
4623
4728
4835
4911
75.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.4852941176470588
totalSentences68
uniqueOpeners33
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences30
matches
0"Just stood there, amber eye"
ratio0.033
46.67% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount13
totalSentences30
matches
0"He didn't move, didn't reach"
1"She didn't close the door"
2"He shifted his weight onto"
3"She remembered the last time"
4"He said it simply, without"
5"She hated how easily he"
6"She thought of Evan, briefly,"
7"He looked past her, into"
8"His voice dropped, losing some"
9"She opened her mouth to"
10"She hated that he could"
11"She stared at him, rain-damp"
12"She stepped back, holding the"
ratio0.433
26.67% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount26
totalSentences30
matches
0"The three deadbolts took Rory"
1"He didn't move, didn't reach"
2"Ptolemy picked that moment to"
3"Rory crossed her arms, leaning"
4"The corner of his mouth"
5"Rory didn't invite him in."
6"She didn't close the door"
7"He shifted his weight onto"
8"Everything about Lucien was a"
9"Rain dripped off the edge"
10"She remembered the last time"
11"He said it simply, without"
12"The words landed somewhere in"
13"She hated how easily he"
14"She thought of Evan, briefly,"
15"That, finally, made him go"
16"He looked past her, into"
17"His voice dropped, losing some"
18"She opened her mouth to"
19"The rain kept falling behind"
ratio0.867
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences30
matches(empty)
ratio0
77.92% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount2
matches
0"She remembered the last time they'd stood close like this — a warehouse near the Thames, the smell of blood and ozone, his hand closing over her wrist right whe…"
1"There'd been a man following her deliveries for the Golden Empress the past two days, a man with eyes that didn't quite catch the light right, and she'd asked a…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences42
tagDensity0.024
leniency0.048
rawRatio0
effectiveRatio0
81.3838%