Run: 2026-10-08-01M4DA78TFMWWEDT0AGTR0K4WF

Run Details

Duration:
19.6s
Cost:
$0.001695
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 eleven, three sharp raps that didn't belong to anyone who lived in this building. Rory set the chipped mug down on the windowsill, wiped her palms on her jeans, and pulled the door open before she could talk herself out of it. Lucien Moreau stood on the landing under the buzzing bulb, one hand resting on the ivory head of his cane. Charcoal wool, a shirt the colour of fresh cream, and not a single platinum strand out of place, despite the rain that had clearly caught him somewhere between Shoreditch and here. One eye caught the light and held it amber. The other swallowed it whole. "You're not dead," she said. "Not yet." His mouth shifted into something that wasn't quite a smile. "You've lost weight." "And you've lost your manners. Nobody knocks at this hour unless they're the police or a bad idea." She kept one hand on the door. "Which are you?" "Both, on occasion." His gaze dropped to her left wrist, to the thin crescent scar she had never once bothered to hide, then lifted again. "Might I come in, or shall we conduct our business here, where Silas's regulars can hear every word through the floorboards?" "Silas's regulars can hear everything through the floorboards. That's the whole point of this building." She didn't step aside. "What business? You walked out of my life in March with a bag over your shoulder and a line about it being safer for me. I didn't ask for safer. I asked for an explanation." "You got a very eloquent speech about the Vane contract." "I got a speech about the Vane contract that didn't mention you'd signed it." Something flickered behind his eyes, too quick for her to name. He shifted his weight onto the cane. "I didn't sign it, Aurora. I bought the debt it was attached to. There's a difference, though I grant you it was a poor one to hide behind." "Don't call me that." "Your mother calls you that." "My mother has the right. You gave up yours the night you left." The words came out colder than she had planned, and she didn't take them back. She watched them land. His jaw tightened, that small, controlled movement she remembered from a dozen tense dinners in the back booth of a bar in Soho, and then it smoothed out again. "Fair," he said quietly. "Entirely fair." Behind her, the flat seemed to lean in and listen. Rory felt the heat of the radiator at her back and the draught from the stairwell at her ankles. Three empty cartons from the Golden Empress sat stacked by the sink, Yu-Fei's red dragon printed on each lid, and her laptop glowed on the sofa beside a pile of unopened post. None of it looked like the life she had built on purpose. It looked like the life of someone who had been waiting. "Say what you came to say," she said. "Then go." Lucien glanced past her shoulder, taking in the stacks of Golden Empress cartons, the threadbare rug, the window with its crooked blind. He noted everything, the way he always had, cataloguing exits and weak points before he sat down. When his gaze came back to her, it had lost some of its polish. "Someone is looking for Eva," he said. Rory's hand tightened on the door. The name landed harder than any of his barbs. "Eva's been gone six weeks. She left me a voicemail and a cat sitter's number." "She didn't leave the country. She left the city, and then she left the trail she was following, and whoever is hunting her has started asking questions in places where I have friends." He paused. "Some of those friends are now dead." "That's not my problem." "It became your problem the moment she sent you a key to Brick Lane and you kept it." His voice dropped, a rasp she recognised from late nights and low light. "And it became mine the moment I found out who is paying for the search." She should have shut the door. Every sensible part of her was already reaching for the handle, already drafting the sentence that would send him back down the stairs into the rain. Instead she heard herself ask the question that mattered. "Who?" Lucien leaned the cane against the frame, slow and deliberate, and reached into his inside pocket. He didn't pull out a card or a phone. He pulled out a folded sheet of thick paper, creased and soft from handling, and held it between two long fingers without offering it to her. "Before I show you this," he said, "I need you to promise you won't slam that door in my face until you've read every word."
created_at"2026-10-08T08:31:34.233Z" 10/8/2026, 8:31:34 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency19515
moderation_latency(null)
generation_time19515
tokens_prompt1004
tokens_completion1114
native_tokens_prompt1469
native_tokens_completion3097
native_tokens_completion_images(null)
native_tokens_reasoning1646
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"
usage0.0016954
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791448294-Zw3gt6FOqcJaGgRF7tcb"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791448294-RENO5kBXm4gfkuJdYLLO"
upstream_id"msg_011CfpTZACrYKyggY5eoyN32"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpTZACrYKyggY5eoyN32"
is_byokfalse
latency698
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.0016954
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
totalTags12
adverbTagCount1
adverbTags
0"he said quietly [quietly]"
dialogueSentences28
tagDensity0.429
leniency0.857
rawRatio0.083
effectiveRatio0.071
93.75% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount800
totalAiIsmAdverbs1
found
0
adverb"very"
count1
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)
81.25% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount800
totalAiIsms3
found
0
word"weight"
count2
1
word"flickered"
count1
highlights
0"weight"
1"flickered"
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
narrationSentences38
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences38
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences54
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords800
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions14
wordCount491
uniqueNames8
maxNameDensity0.61
worstName"Lucien"
maxWindowNameDensity1
worstWindowName"Golden"
discoveredNames
Moreau1
Shoreditch1
Soho1
Golden2
Empress2
Yu-Fei1
Lucien3
Rory3
persons
0"Moreau"
1"Empress"
2"Yu-Fei"
3"Lucien"
4"Rory"
places
0"Soho"
1"Golden"
globalScore1
windowScore1
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences29
glossingSentenceCount3
matches
0"quite a smile"
1"looked like the life she had built on pur"
2"looked like the life of someone who had b"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount800
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences54
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs26
mean30.77
std23.05
cv0.749
sampleLengths
047
165
25
315
428
546
654
710
814
946
104
115
1261
136
1484
1510
1653
177
1830
1942
204
2146
2241
231
2451
2525
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences38
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs80
matches
0"was already reaching"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences54
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount492
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.034552845528455285
lyAdverbCount2
lyAdverbRatio0.0040650406504065045
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences54
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences54
mean14.81
std9.87
cv0.666
sampleLengths
019
128
220
331
49
55
65
712
83
925
103
1125
1221
1319
1435
1510
1614
1711
187
1928
204
215
2228
234
2429
254
262
2710
2819
2932
3012
3111
328
332
3422
3517
3614
377
386
399
4015
4135
427
434
4431
4515
466
4726
489
491
98.15% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.7037037037037037
totalSentences54
uniqueOpeners38
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences33
matches
0"Instead she heard herself ask"
ratio0.03
50.30% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount14
totalSentences33
matches
0"His mouth shifted into something"
1"She kept one hand on"
2"His gaze dropped to her"
3"She didn't step aside"
4"He shifted his weight onto"
5"She watched them land."
6"His jaw tightened, that small,"
7"he said quietly"
8"It looked like the life"
9"He noted everything, the way"
10"His voice dropped, a rasp"
11"She should have shut the"
12"He didn't pull out a"
13"He pulled out a folded"
ratio0.424
35.76% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount28
totalSentences33
matches
0"The knock came at half"
1"Rory set the chipped mug"
2"Lucien Moreau stood on the"
3"Charcoal wool, a shirt the"
4"The other swallowed it whole."
5"His mouth shifted into something"
6"She kept one hand on"
7"His gaze dropped to her"
8"She didn't step aside"
9"Something flickered behind his eyes,"
10"He shifted his weight onto"
11"The words came out colder"
12"She watched them land."
13"His jaw tightened, that small,"
14"he said quietly"
15"Rory felt the heat of"
16"None of it looked like"
17"It looked like the life"
18"Lucien glanced past her shoulder,"
19"He noted everything, the way"
ratio0.848
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences33
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences17
technicalSentenceCount1
matches
0"Charcoal wool, a shirt the colour of fresh cream, and not a single platinum strand out of place, despite the rain that had clearly caught him somewhere between …"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount0
fancyTags(empty)
dialogueSentences28
tagDensity0.179
leniency0.357
rawRatio0
effectiveRatio0
88.6403%