Run: 2026-10-08-01M4DA53P8KC6F2B20DENF59QZ

Run Details

Duration:
19.5s
Cost:
$0.001636
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 chain was still on. Rory had slid the bolt back and eased the door open only as far as the brass hook would allow, and through the gap she saw him standing on the landing as though he had paid for it. Rain darkened the shoulders of his charcoal suit. His platinum hair stayed slicked back, though a few strands had come loose and clung to his forehead. He leaned on the ivory-handled cane with his weight on one hip, and his mismatched eyes, amber and black, took her in with the same unhurried attention he gave to everything. "You kept the chain," Lucien said. "Silas installed it. The man has opinions about the people who climb his stairs after midnight." She kept her hand on the edge of the door. "You're not on his list of approved visitors, so I'd guess you came up the back way." "The back way is quicker." "It's also how the rats get in." Something flickered at the corner of his mouth. It wasn't a smile. He had never been generous with those. "I'd rather not discuss the rats." Below them, the bar's jukebox thumped through the floorboards, some old Stone Roses track Silas insisted on playing every Thursday. The stairwell smelled of spilled lager and the bleach Silas used on the landing every Sunday. Rory had lived with that smell for six months, and it had become the closest thing she had to a home. "It's gone eleven, Lucien." "I'm aware of the hour. I had the misfortune of watching the clock from a bench outside your building for forty minutes before I decided to knock." He shifted the cane to his other hand. "I'm told you don't answer your phone anymore." "I changed the number." "Yes. I found that out from Eva, who was not pleased to be asked." Rory breathed out through her nose. Eva would be pleased with herself, telling Lucien where to find her and making him wait for the privilege. Eva had always enjoyed being the one who held the keys. "Say what you came to say," Rory said. "I'm not making tea for a man who won't come in." He looked past her shoulder, into the narrow hallway with its coat hook and the bag of yesterday's delivery receipts she hadn't yet sorted. Then his gaze came back to her wrist, to the thin crescent scar she had always covered with a band or sleeve in his presence, and she realised she had drawn her hand against her chest without meaning to. "Three nights ago," he said quietly, "a courier went into the Caldwell warehouse in Hackney. He didn't come out. The Avaros envoy has taken an interest in the parcel he was carrying, and the envoy does not take interest in things he means to leave alone." "And you're telling me this because?" "Because the parcel was addressed to a Dorothea Ellis, and the return name on the label was yours." The jukebox dropped to silence below them. In the gap between songs, Rory heard her own pulse. "That's not possible," she said. "I haven't sent anything through Caldwell's since—" "Since the night you walked out of the Vauxhall safe house and told me to stop following you." Lucien's voice stayed level, but his black eye narrowed a fraction. "Yes. I remember the night. I remember it with more clarity than I would like." She had told herself she was past the point of letting his memory sting. Eleven months, a new flat, new deliveries for Yu-Fei's restaurant, a job that let her be invisible. And here he was on her landing, dragging the whole thing up the stairs with him like wet coat. "You chose the council," she said. "You stood in that room with the envoy's people and you chose the council over me. Don't pretend the choice was ever complicated for you." "It was never complicated," Lucien said. "That was the problem. I had no idea what I was choosing until you were already out the door." The words landed harder than she expected, and she hated that they did. She saw him register it, saw him decide not to press, and that restraint irritated her more than any argument would have. "You could have sent a message," she said. "I did send a message. Three of them. Each one returned to me unopened, which I suppose is its own answer." He glanced down at the cane, then back up. "So I'm standing here instead, like an idiot in the rain, because I need you to look at a parcel that has your name on it, Aurora, and I need you to tell me why." He almost never used her full name. Rory felt it settle somewhere beneath her ribs, a weight she had no place to put down. She slid the chain free. The door swung inward, and she stepped back to let him see the length of the hallway, the cramped kitchen beyond it, the single lamp burning on the sill. "Wipe your feet," she said. "And if you've brought the envoy's people up my stairs, I'll push you back down them myself." Lucien crossed the threshold with the careful grace of a man who had been turned away from many doors and had learned not to expect a welcome. He paused on the mat, rain running from the ends of his hair onto the floorboards. "I didn't bring them," he said. "They're already on the street."
created_at"2026-10-08T08:30:23.441Z" 10/8/2026, 8:30:23 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency19272
moderation_latency(null)
generation_time19445
tokens_prompt1004
tokens_completion1266
native_tokens_prompt1469
native_tokens_completion2979
native_tokens_completion_images(null)
native_tokens_reasoning1335
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"
usage0.0016364
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791448223-0sgHVAoYTV7XIKYhqVLl"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791448223-c17WO0oMB3TgQ1TXaxol"
upstream_id"msg_011CfpTTwSX4psnxAPW41DKp"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpTTwSX4psnxAPW41DKp"
is_byokfalse
latency867
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.0016364
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]"
dialogueSentences31
tagDensity0.419
leniency0.839
rawRatio0.077
effectiveRatio0.065
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount917
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)
72.74% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount917
totalAiIsms5
found
0
word"weight"
count2
1
word"flickered"
count1
2
word"silence"
count1
3
word"pulse"
count1
highlights
0"weight"
1"flickered"
2"silence"
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
narrationSentences42
matches(empty)
74.83% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences42
filterMatches
0"decide"
1"see"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences60
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen46
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords917
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions17
unquotedAttributions0
matches(empty)
93.93% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions18
wordCount535
uniqueNames8
maxNameDensity1.12
worstName"Rory"
maxWindowNameDensity2
worstWindowName"Rory"
discoveredNames
Stone1
Roses1
Silas2
Thursday1
Sunday1
Rory6
Lucien5
Yu-Fei1
persons
0"Roses"
1"Silas"
2"Rory"
3"Lucien"
4"Yu-Fei"
places(empty)
globalScore0.939
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences30
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount917
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences60
matches
0"hated that they"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs32
mean28.66
std18.53
cv0.647
sampleLengths
043
157
26
343
45
57
625
757
84
943
104
1114
1236
1319
1463
1546
166
1718
1817
1912
2044
2150
2231
2325
2435
258
2665
2724
2834
2922
3043
3111
96.91% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences42
matches
0"been turned"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs99
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences60
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount537
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.024208566108007448
lyAdverbCount2
lyAdverbRatio0.0037243947858473
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences60
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences60
mean15.28
std10.43
cv0.683
sampleLengths
05
138
28
318
431
56
626
717
85
97
108
114
127
136
1420
1516
1621
174
1835
198
204
2114
226
2319
2411
258
2611
2724
2839
2946
306
3118
327
3310
345
357
3629
3715
3814
3917
4019
416
4225
436
4419
4513
4622
478
4830
4935
68.33% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.45
totalSentences60
uniqueOpeners27
98.04% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences34
matches
0"Then his gaze came back"
ratio0.029
55.29% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount14
totalSentences34
matches
0"His platinum hair stayed slicked"
1"He leaned on the ivory-handled"
2"She kept her hand on"
3"It wasn't a smile."
4"He had never been generous"
5"He shifted the cane to"
6"He looked past her shoulder,"
7"he said quietly"
8"She had told herself she"
9"She saw him register it,"
10"He glanced down at the"
11"He almost never used her"
12"She slid the chain free."
13"He paused on the mat,"
ratio0.412
33.53% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount29
totalSentences34
matches
0"The chain was still on."
1"Rory had slid the bolt"
2"Rain darkened the shoulders of"
3"His platinum hair stayed slicked"
4"He leaned on the ivory-handled"
5"She kept her hand on"
6"Something flickered at the corner"
7"It wasn't a smile."
8"He had never been generous"
9"The stairwell smelled of spilled"
10"Rory had lived with that"
11"He shifted the cane to"
12"Rory breathed out through her"
13"Eva would be pleased with"
14"Eva had always enjoyed being"
15"He looked past her shoulder,"
16"he said quietly"
17"The jukebox dropped to silence"
18"Lucien's voice stayed level, but"
19"She had told herself she"
ratio0.853
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
analyzedSentences20
technicalSentenceCount1
matches
0"Eleven months, a new flat, new deliveries for Yu-Fei's restaurant, a job that let her be invisible."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags9
fancyCount0
fancyTags(empty)
dialogueSentences31
tagDensity0.29
leniency0.581
rawRatio0
effectiveRatio0
89.7866%