Run: 2026-10-08-01M4DAHG9MPFMAXKY6RZGP4YWW

Run Details

Duration:
18.0s
Cost:
$0.001560
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 a quarter past eleven, three measured raps that didn't match the bass thudding up through the floorboards from Silas' bar. Rory stood in the kitchen with a tea towel in one hand and a bowl in the other. Nobody knocked like that. Nobody who mattered knew this door existed, because it sat at the top of a narrow back staircase that smelled of stale beer and bleach. She set the bowl down without a sound and crossed the flat in her socks, stepping around the unopened post and the stack of Golden Empress containers she still hadn't returned. She put her eye to the spyhole. A slice of platinum hair, slicked back with the sort of precision that took a man twenty minutes in front of a mirror. Charcoal wool. Then the glass bent the hallway light, and one eye caught her own. Amber. She knew the other eye would be black. She didn't need to see it. "You've got the wrong flat," she said through the wood. "I have never once had the wrong flat, Aurora." Hearing her full name in that accent went straight through her ribs, the way it always had. She hated that it still worked. "Go home, Lucien." "I would, if home were still an option. It isn't, as it happens. Someone has been very thorough about making sure of that." She rested her forehead against the door. Cold paint, a faint smell of cumin drifting up from the kitchen downstairs. Two years ago she'd have yanked the door open before he finished the sentence. Two years ago she'd have taken whatever he brought her and called it a favour. She pulled back, unlatched the chain, and turned the deadbolt, because some habits outlasted their reasons. The door swung open, and the stairwell light spilled across the floorboards and onto the toes of his polished oxfords. He looked like himself. That was the worst of it. The suit fit as though it had been stitched onto him that morning, and the ivory-handled cane rested in his right hand, the same way it always did, like a man leaning on nothing at all. There was a cut above his left eyebrow, already crusted, and his knuckles were scraped raw. "You're bleeding on my landing," she said. "Am I? I hadn't noticed." He lifted his gaze from the scrape on his hand to her face and stayed there. "You look well." "You look like you've been dragged behind a van." "A van would have been kinder. It was a hired car with a very persistent driver." His mouth twitched, and then the humour drained out of it. "May I come in, Rory? I wouldn't ask if there were anyone else in London I trusted to keep their mouth shut." "That's a terrible sales pitch." "I'm aware. I'm also out of options." She should have said no. She had a list of reasons, and she could recite them in order, the way she used to recite case law before exams. The night he walked out of the Soho backroom with a bag of money and a sentence he'd never finished. The message he'd sent her three weeks later, which said only *It's better this way*, as if she were a problem he had solved. The fact that she'd told Eva, sobbing into a bottle of cheap red, that she would never speak his name again. She stepped aside anyway. Lucien moved past her slowly, favouring his left side, and the cane tapped twice against the floor before he made it to the middle of the room. He took in the place in one sweep: the sagging sofa, the bookshelf she'd rescued from a skip, the half-finished watercolour of the Thames propped against the wall. His gaze lingered on the watercolour a moment too long. "You kept the window open," he said. "It sticks shut when it rains." "Ah." He turned, and the lamp caught the scar on her left wrist as she crossed her arms. He noticed. She saw him notice, the way his eyes dropped and came back up with something careful in them. "Who did this?" "You're not supposed to be asking questions. You're supposed to be explaining why you're bleeding on my carpet." "Fair." He set the cane against the arm of the sofa and lowered himself onto it with a grimace he tried to hide. "Someone wants a particular book back. The one Eva's been keeping in that flat of hers on Brick Lane. The one with the seal on the spine." Rory's stomach dropped. "She told you where she kept it?" "No. She told nobody. That's the trouble." He pressed two fingers to the cut above his eyebrow and studied the red on them. "They found the flat last night. Took the cat, wrecked the second bedroom, and left the deadbolts hanging by their screws. I came as soon as I heard." "Ptolemy." The name came out cracked. "Is he—" "He's with Eva's neighbour, the one who sells samosas. He bit a man's ankle, I'm told, and sat on the windowsill until they gave up." His voice softened in a way she didn't want to hear. "He is perfectly well. Eva is not, quite. She's furious, and she's asked for you." Rory pressed her palm flat against the back of the armchair, feeling the worn fabric give under her fingers. Eva had always been the one who came running when things broke. Eva had hauled her out of Cardiff with two bin bags of clothes and a train ticket and never once asked what Evan had done to the bathroom door. And now Eva was in trouble, and Lucien was bleeding on her sofa, and the old pull was already tightening behind her sternum. "Why didn't you call?" she asked. Lucien looked at her for a long time. The amber eye and the black one, both steady, both unreadable. "Because you'd have said no," he said quietly. "And I needed you to hear the whole thing before you did."
created_at"2026-10-08T08:37:09.567Z" 10/8/2026, 8:37:09 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency6034
moderation_latency(null)
generation_time17940
tokens_prompt1004
tokens_completion1386
native_tokens_prompt1469
native_tokens_completion2826
native_tokens_completion_images(null)
native_tokens_reasoning968
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"
usage0.0015599
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791448629-hde2Y0rm7Kk2BATpQUkR"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791448629-u5aaAHUCqFK2aHmlUxSw"
upstream_id"msg_011CfpTysyF6esRS6PgeAgoE"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpTysyF6esRS6PgeAgoE"
is_byokfalse
latency872
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.0015599
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
totalTags13
adverbTagCount1
adverbTags
0"he said quietly [quietly]"
dialogueSentences29
tagDensity0.448
leniency0.897
rawRatio0.077
effectiveRatio0.069
80.20% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1010
totalAiIsmAdverbs4
found
0
adverb"very"
count2
1
adverb"slowly"
count1
2
adverb"perfectly"
count1
highlights
0"very"
1"slowly"
2"perfectly"
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)
75.25% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1010
totalAiIsms5
found
0
word"measured"
count1
1
word"eyebrow"
count2
2
word"stomach"
count1
3
word"unreadable"
count1
highlights
0"measured"
1"eyebrow"
2"stomach"
3"unreadable"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"stomach dropped/sank"
count1
highlights
0"stomach dropped"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences54
matches(empty)
89.95% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences54
filterMatches
0"notice"
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences71
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen37
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords4
totalWords1010
ratio0.004
matches
0"It's better this way"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions14
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions17
wordCount729
uniqueNames10
maxNameDensity0.55
worstName"Eva"
maxWindowNameDensity1.5
worstWindowName"Eva"
discoveredNames
Rory3
Golden1
Empress1
Hearing1
Soho1
Eva4
Thames1
Cardiff1
Evan1
Lucien3
persons
0"Rory"
1"Eva"
2"Evan"
3"Lucien"
places
0"Soho"
1"Thames"
2"Cardiff"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences40
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1010
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences71
matches
0"hated that it"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs33
mean30.61
std26.79
cv0.875
sampleLengths
071
177
214
310
49
523
63
723
865
920
1062
117
1224
139
1449
155
167
1793
184
1965
207
216
2241
2318
2450
2510
2651
278
2851
2983
306
3119
3220
92.27% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences54
matches
0"been stitched"
1"were scraped"
87.01% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs118
matches
0"was bleeding"
1"was already tightening"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences71
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount246
adjectiveStacks0
stackExamples(empty)
adverbCount8
adverbRatio0.032520325203252036
lyAdverbCount1
lyAdverbRatio0.0040650406504065045
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences71
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences71
mean14.23
std9.16
cv0.644
sampleLengths
024
118
24
325
431
57
623
72
813
91
108
116
1210
139
1417
156
163
1723
187
1913
2014
2115
2216
2320
244
256
2636
2716
287
2921
303
319
3227
3322
345
357
365
3723
3820
3924
4021
414
4227
4328
4410
457
466
4718
482
4918
65.73% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.4788732394366197
totalSentences71
uniqueOpeners34
69.44% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences48
matches
0"Then the glass bent the"
ratio0.021
36.67% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences48
matches
0"She set the bowl down"
1"She put her eye to"
2"She knew the other eye"
3"She didn't need to see"
4"she said through the wood"
5"She hated that it still"
6"She rested her forehead against"
7"She pulled back, unlatched the"
8"He looked like himself."
9"He lifted his gaze from"
10"His mouth twitched, and then"
11"She should have said no."
12"She had a list of"
13"She stepped aside anyway."
14"He took in the place"
15"His gaze lingered on the"
16"He turned, and the lamp"
17"She saw him notice, the"
18"He set the cane against"
19"He pressed two fingers to"
ratio0.458
32.92% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount41
totalSentences48
matches
0"The knock came at a"
1"Rory stood in the kitchen"
2"Nobody knocked like that."
3"Nobody who mattered knew this"
4"She set the bowl down"
5"She put her eye to"
6"A slice of platinum hair,"
7"She knew the other eye"
8"She didn't need to see"
9"she said through the wood"
10"She hated that it still"
11"She rested her forehead against"
12"She pulled back, unlatched the"
13"The door swung open, and"
14"He looked like himself."
15"That was the worst of"
16"The suit fit as though"
17"He lifted his gaze from"
18"His mouth twitched, and then"
19"She should have said no."
ratio0.854
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences48
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences26
technicalSentenceCount1
matches
0"The suit fit as though it had been stitched onto him that morning, and the ivory-handled cane rested in his right hand, the same way it always did, like a man l…"
86.54% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount1
matches
0"He turned, and the lamp caught the scar on her left wrist as she crossed her arms"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount1
fancyTags
0"He pressed (press)"
dialogueSentences29
tagDensity0.207
leniency0.414
rawRatio0.167
effectiveRatio0.069
87.1987%