Run: 2026-10-09-01M4FY1XEWZK1JWQHJA2RJTY2K

Run Details

Duration:
13.9s
Cost:
$0.001162
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
The knock came at half past eleven, three sharp raps that didn't belong to Silas. Silas knocked like a man delivering bad news, all knuckles and apology, and he'd already gone home to Hackney. Rory set down the mug of cold tea, pulled the chain free, and turned the lock. The landing light buzzed. Lucien Moreau stood in the doorway in a charcoal suit that somehow survived the rain, one hand resting on the ivory head of his cane. His hair was slicked back, the platinum gone dull under the bulb. Amber eye, black eye. They both held her steady, the way they always had, as if she were a question he'd already decided to answer. "You're not supposed to be here," she said. "No," he agreed. "I'm told that a lot." She didn't step aside. He didn't ask her to. The stairwell smelled of stale beer rising through the floorboards from the bar downstairs, and somewhere a radio played a song she half remembered from a summer she'd rather forget. "Eight months, Lucien. Eight months and you send nothing. Not a text. Not a bloody postcard." "I sent a great deal." His voice stayed level, but something tightened at the corner of his mouth. "You simply didn't open any of it." "Because the last thing you sent me was a bribe." He lowered his gaze to the scar on her left wrist, the small crescent she'd carried since she was nine and had long stopped hiding. She watched him take it in. He always noticed the things she tried to keep quiet. "It was not a bribe," he said. "It was an insurance policy. For you. The people who wanted the ledger would have cut your throat for the pleasure of it, and I could not guarantee they would wait for you to finish a sentence before doing it." "So you sold me to them first." "I sold them the story that you had already burned it." He shifted his weight off the cane. "They believed it because it was half true. You did burn copies. I only made sure the others never reached the right hands." "You made sure I was the only one who didn't know what I was carrying." The silence stretched long enough for the radio downstairs to finish its song and start another. "May I come in, Aurora?" Nobody called her that anymore. Her mother had, when she was in trouble. Lucien had, once, in a dim hotel room in Soho with rain on the window and his mouth at her throat, whispering it like a password to a door neither of them had any intention of closing. "Say why you're here first." "Because a man I owe more than I can repay is dead in a canal in Limehouse," he said, "and the last name in his notebook was yours." The words landed heavier than she wanted. She felt the old tug in her chest, the one that had dragged her into this entire mess in the first place, a sharp hook behind the ribs that never quite let go. "Your notebook," she repeated. "His. Mine is in a safe I no longer trust." He tilted his head, and the dim light caught both eyes at once, one gold, one void. "He wrote your name beside a word I didn't recognise. Malphora. Do you know it?" Her breath stopped for a moment. She didn't let it show, but she knew he saw it anyway. "Come in," she said. "And keep your voice down. The walls here have ears, and Silas has a habit of listening to the rent money." She stepped back. He crossed the threshold slowly, the cane tapping once against the worn floorboards, and the door swung shut behind him with a sound she felt in her teeth. Cold air from the open window stirred the papers on her table. He glanced at the single cracked mug, the stack of takeaway receipts from the Golden Empress, the shoebox of letters she had never answered. "You kept them," he said quietly. "I kept the box. I didn't keep the sentiment." "Liar." She turned to face him, arms folded tight across her chest. "Say what you came to say, Lucien. Then get out before the bar closes and someone sees you." He studied her for a long moment, and for once in their tangled history, he didn't reach for a clever line. "I came," he said, "because I was afraid you would be dead before I found the courage to tell you I was wrong." Her heart gave a single hard knock against her ribs. She refused to ask him what he meant.
created_at"2026-10-09T08:56:39.139Z" 10/9/2026, 8:56:39 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2436
moderation_latency(null)
generation_time13931
tokens_prompt1004
tokens_completion1275
native_tokens_prompt1469
native_tokens_completion2031
native_tokens_completion_images(null)
native_tokens_reasoning635
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"
usage0.0011624
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791536199-Zn2X2WFNlsMd7GHW5fZI"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791536199-OOx5VLc6rH14UXUQX7ko"
upstream_id"msg_011CfrPH1XKUomd6428vihnT"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfrPH1XKUomd6428vihnT"
is_byokfalse
latency834
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.0011624
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
totalTags11
adverbTagCount1
adverbTags
0"he said quietly [quietly]"
dialogueSentences26
tagDensity0.423
leniency0.846
rawRatio0.091
effectiveRatio0.077
93.59% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount780
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"slowly"
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)
80.77% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount780
totalAiIsms3
found
0
word"the last thing"
count1
1
word"weight"
count1
2
word"silence"
count1
highlights
0"the last thing"
1"weight"
2"silence"
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
narrationSentences41
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences41
filterMatches(empty)
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences56
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords780
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions7
wordCount491
uniqueNames6
maxNameDensity0.41
worstName"Silas"
maxWindowNameDensity1
worstWindowName"Silas"
discoveredNames
Silas2
Hackney1
Moreau1
Soho1
Golden1
Empress1
persons
0"Silas"
1"Moreau"
places
0"Hackney"
1"Soho"
2"Golden"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences27
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount780
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences56
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs31
mean25.16
std18.29
cv0.727
sampleLengths
050
166
28
38
439
516
625
710
841
947
107
1141
1215
1316
145
1550
165
1728
1840
194
2042
2118
2225
2367
246
259
261
2729
2821
2923
3018
96.71% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences41
matches
0"was slicked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs87
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences56
ratio0
matches(empty)
97.58% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount491
adjectiveStacks0
stackExamples(empty)
adverbCount21
adverbRatio0.04276985743380855
lyAdverbCount2
lyAdverbRatio0.004073319755600814
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences56
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences56
mean13.93
std9.48
cv0.68
sampleLengths
015
119
216
34
425
512
64
721
88
93
105
114
125
1330
1416
1518
167
1710
1825
196
2010
217
2240
237
2418
2523
2615
2716
285
295
308
3137
325
3328
347
3533
364
3727
3815
396
4012
414
4221
433
4428
4512
4624
476
489
491
72.62% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.44642857142857145
totalSentences56
uniqueOpeners25
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences34
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences34
matches
0"His hair was slicked back,"
1"They both held her steady,"
2"She didn't step aside."
3"He didn't ask her to."
4"His voice stayed level, but"
5"He lowered his gaze to"
6"She watched him take it"
7"He always noticed the things"
8"He shifted his weight off"
9"Her mother had, when she"
10"She felt the old tug"
11"He tilted his head, and"
12"Her breath stopped for a"
13"She didn't let it show,"
14"She stepped back."
15"He crossed the threshold slowly,"
16"He glanced at the single"
17"he said quietly"
18"She turned to face him,"
19"He studied her for a"
ratio0.647
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount33
totalSentences34
matches
0"The knock came at half"
1"Silas knocked like a man"
2"Rory set down the mug"
3"The landing light buzzed."
4"Lucien Moreau stood in the"
5"His hair was slicked back,"
6"Amber eye, black eye."
7"They both held her steady,"
8"She didn't step aside."
9"He didn't ask her to."
10"The stairwell smelled of stale"
11"His voice stayed level, but"
12"He lowered his gaze to"
13"She watched him take it"
14"He always noticed the things"
15"He shifted his weight off"
16"The silence stretched long enough"
17"Nobody called her that anymore."
18"Her mother had, when she"
19"Lucien had, once, in a"
ratio0.971
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences34
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences19
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount0
matches(empty)
73.08% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount2
fancyTags
0"he agreed (agree)"
1"she repeated (repeat)"
dialogueSentences26
tagDensity0.308
leniency0.615
rawRatio0.25
effectiveRatio0.154
83.8112%