Run: 2026-10-08-01M4DA0E2AJ2ZHQHY2JD01X96A

Run Details

Duration:
15.5s
Cost:
$0.001302
Provider:
Claude Platform on AWS

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
She didn't open the door fast enough to seem eager. She let the chain rattle, took her time with the bolt, and kept one foot behind the frame. Nobody else knocked like that, three measured raps, as if they were serving a warrant. Lucien stood on the landing with one gloved hand resting on the ivory head of his cane. Rain beaded on the shoulders of his charcoal suit and dripped from the ends of his platinum hair, which had lost its usual slick. A strand fell across his forehead. One eye was amber, the other black, and both moved over her from bare feet to the chipped mug in her hand. "You changed your number," he said. "People do that when they don't want to hear from someone." "I did not say I wished to hear from you. I said you changed your number." "Same thing, Luc." She didn't move from the frame. "How did you find me?" "Silas. He charged me for the address and then charged me again for the pleasure of watching me pay." The corner of his mouth lifted and fell. "Your bin is by the back door, and your delivery jacket still hangs on the hook inside the bar. The Golden Empress stitching is difficult to miss." "You went through Silas's bins?" "I went through his bar. The bins were a figure of speech." She almost laughed. She caught it in her throat and swallowed it with the cold tea. "It's midnight. It's raining. You've got a cane and a suit that cost more than my rent, and you're standing on my landing like a bailiff." "Yes." He shifted his weight, and the cane tapped once against the boards. "May I come in? I am dripping, and I have never once managed to look dignified while dripping." "Then don't come in." She tightened her grip on the door. "Say what you came to say." For a moment he didn't speak. Somewhere below, Silas's jukebox kicked into a Motown track, and the bass rattled up through the floorboards. Lucien looked past her into the hallway, at the damp coat rack and the stack of takeaway menus she'd never thrown out, and his jaw worked before he answered. "There is a man in Soho," he said. "Calls himself Mr. Blackwood. Last month he bought the debts of three Avaros lords, and now he holds a ledger that names every half-blood who ever signed a binding. Including mine." "And?" "And your name is in it." The cold went through her faster than the rain had. She set the mug on the hall table without looking at it. "My name." "Your mother's contract, I suspect, though I have not yet confirmed it. You never told me what she signed." "Because I didn't know." Her voice came out level, which pleased her. "And because you didn't ask. You were too busy packing for Marseille." Something moved behind his mismatched eyes, quick and sharp, like a blade slipping back into a sleeve. "I did not go to Marseille." "No? You went somewhere. You went and left me a note that said you'd be back by Thursday, and then you were gone for six months, and when you came back you wore a different signet ring and wouldn't tell me who gave it to you." "I was keeping you out of it." "You were keeping *yourself* out of it. There's a difference, and you know it better than anyone." He opened his mouth, closed it, and tilted his head toward the stairwell as though listening for a sound only he could hear. "Aurora." "Don't." "I have not come to ask you to forgive me." "Good. Because I wouldn't." "I came because I need someone who can read the Avaros script, and you were the only person I trust who can also tell when a lie is wearing good shoes." He lifted the cane an inch, then set it down again. "Also, I find I miss arguing with you in your own hallway. It is a poor excuse, but it is the one I have." Her pulse did something stupid against her ribs. She hated that it did. She hated more that she remembered exactly how he smelled, cedar and rain and the faint bitterness of the cigarettes he swore he'd quit, and that her hand had already drifted to the door latch, deciding for her. "Come in," she said, "but you wipe your feet, and you tell me everything. Not the version you'd give a client. Everything." He stepped over the threshold, and the floorboards creaked under his shoes. He did not look at her as he passed. He looked at the hook where her old coat hung, the one he'd bought her in Camden the winter they'd first kissed, and he said nothing at all.
created_at"2026-10-08T08:27:50.226Z" 10/8/2026, 8:27:50 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2429
moderation_latency(null)
generation_time15473
tokens_prompt1004
tokens_completion1397
native_tokens_prompt1469
native_tokens_completion2311
native_tokens_completion_images(null)
native_tokens_reasoning857
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"
usage0.0013024
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791448070-kx83r5SQRyYSv463mAT2"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791448070-U7Ig0H8zHj37XN0d2D58"
upstream_id"msg_011CfpTGedffVAjaNcL8Pp8o"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpTGedffVAjaNcL8Pp8o"
is_byokfalse
latency834
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.0013024
cache_discount(null)
upstream_inference_cost0
provider_name"Claude Platform on AWS"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences33
tagDensity0.273
leniency0.545
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount805
totalAiIsmAdverbs0
found(empty)
highlights(empty)
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Blackwood"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
68.94% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount805
totalAiIsms5
found
0
word"measured"
count1
1
word"charged"
count2
2
word"weight"
count1
3
word"pulse"
count1
highlights
0"measured"
1"charged"
2"weight"
3"pulse"
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)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences31
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences55
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen46
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords805
ratio0.001
matches
0"yourself"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions15
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions3
wordCount400
uniqueNames3
maxNameDensity0.25
worstName"Silas"
maxWindowNameDensity0
worstWindowName(null)
discoveredNames
Silas1
Motown1
Camden1
persons
0"Silas"
places
0"Motown"
1"Camden"
globalScore1
windowScore1
53.85% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences26
glossingSentenceCount1
matches
0"as though listening for a sound only he could hear"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount805
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences55
matches
0"hated that it"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs31
mean25.97
std19.43
cv0.748
sampleLengths
043
169
26
311
416
514
654
75
812
942
1031
1117
1252
1339
141
156
1624
1719
1824
1923
2046
217
2217
2324
241
2510
264
2766
2851
2922
3049
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
totalVerbs74
matches
0"were serving"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences55
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount400
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.0325
lyAdverbCount2
lyAdverbRatio0.005
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences55
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences55
mean14.64
std10.29
cv0.703
sampleLengths
010
118
215
317
424
56
622
76
811
916
109
115
1227
1327
145
1512
163
1713
1826
1913
2018
2111
226
236
2417
2529
268
2731
281
296
3010
3112
322
3319
3412
3512
3617
376
3846
397
4017
4123
421
431
4410
454
4642
4724
488
495
89.09% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.6363636363636364
totalSentences55
uniqueOpeners35
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences28
matches
0"Somewhere below, Silas's jukebox kicked"
ratio0.036
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences28
matches
0"She didn't open the door"
1"She let the chain rattle,"
2"She didn't move from the"
3"She almost laughed."
4"She caught it in her"
5"He shifted his weight, and"
6"She tightened her grip on"
7"She set the mug on"
8"Her voice came out level,"
9"He opened his mouth, closed"
10"He lifted the cane an"
11"Her pulse did something stupid"
12"She hated that it did."
13"She hated more that she"
14"He stepped over the threshold,"
15"He did not look at"
16"He looked at the hook"
ratio0.607
13.57% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount25
totalSentences28
matches
0"She didn't open the door"
1"She let the chain rattle,"
2"Nobody else knocked like that,"
3"Lucien stood on the landing"
4"Rain beaded on the shoulders"
5"A strand fell across his"
6"She didn't move from the"
7"The corner of his mouth"
8"She almost laughed."
9"She caught it in her"
10"He shifted his weight, and"
11"She tightened her grip on"
12"Lucien looked past her into"
13"The cold went through her"
14"She set the mug on"
15"Her voice came out level,"
16"Something moved behind his mismatched"
17"He opened his mouth, closed"
18"He lifted the cane an"
19"Her pulse did something stupid"
ratio0.893
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences28
matches(empty)
ratio0
98.21% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences16
technicalSentenceCount1
matches
0"Rain beaded on the shoulders of his charcoal suit and dripped from the ends of his platinum hair, which had lost its usual slick."
69.44% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount1
matches
0"He shifted, and the cane tapped once against the boards"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences33
tagDensity0.091
leniency0.182
rawRatio0
effectiveRatio0
85.7704%