Run: 2026-09-23-01M37HRVVWQ361WAKGFHW7781E

Run Details

Duration:
39.9s
Cost:
$0.021694
Provider:
OpenAI

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
Aurora opened the door on the width of its chain and found Lucien Moreau on the landing, blood soaking the cuff of his charcoal suit. His platinum hair had come loose at one temple. He held his ivory-handled cane under his arm and pressed a narrow book against his chest. The amber eye fixed on her face; the black one caught the light from Eva’s kitchen. “Take the book.” Aurora kept her hand on the door. “You have the wrong flat.” “Eva’s name is on the flyleaf.” A floorboard creaked below them. From the curry house came the clatter of pans and a burst of laughter, ordinary noise beneath the stillness of the stairwell. Lucien looked towards it. Aurora slid the chain free, caught him by the lapel and pulled him inside. She shut the door and drove each of Eva’s three deadbolts home. Lucien’s gaze dropped to her hand, still gripping his jacket. “That wasn’t an invitation,” she told him. “I understood.” He offered the book. Its green cloth cover had been cut through to the board. Aurora recognised Eva’s cramped writing along the spine: Thresholds, volume II. It had vanished from this flat three weeks ago, the same night Lucien had taken Aurora’s keys from her coat pocket. She pulled the book out of his hand. Blood marked the cover beneath her thumb. “Where did you get it?” “From the man who stole it.” “And where is he?” Lucien looked at the door. A soft scrape sounded from the other side, like a coin drawn across wood. Aurora stepped back. Ptolemy lifted his head from a pile of scrolls on the sofa. His fur rose along his spine. “Tell me you weren’t followed.” “I wasn’t. He followed the cut.” Lucien peeled his hand from his cuff. A black line crossed his palm and disappeared beneath his sleeve. It moved as Aurora watched, a thread pulled through skin. “That’s blood?” “No.” “Useful distinction.” She carried the book to Eva’s table, where notes competed with empty mugs for space, and opened it to the folded corner near the back. Eva had drawn the same line in red pencil beside a diagram of a hand. Under it she had written: Finds its point of entry. Requires two living grips to break. The scrape came again. This time it ran across the upper deadbolt. Aurora turned the page. “How much time?” “Before he reaches the lock, or before this reaches my heart?” “Whichever answer helps.” “Less than either of us needs.” She looked at his palm. The line had climbed past his wrist. A patch of black showed through the torn cuff of his shirt. On Eva’s page, two hands enclosed a blade between them. Aurora reached for the cane. Lucien caught it first. “There’s a proper knife in the kitchen.” “The drawing has a blade with an ivory handle.” “I noticed.” “You noticed and still came here?” “I came here because Eva had the book.” “Eva’s at the library. She left me feeding her cat.” Ptolemy leapt down from the sofa and vanished under it. Lucien watched the movement, then laid the cane across Eva’s notes. “And I brought it back.” Aurora pulled a chair out with her foot. “Sit.” He sat. She pushed his sleeve towards his elbow, baring the line where it branched into the flesh of his forearm. Up close, his blood smelled of iron. His skin felt cold beneath her fingers. His gaze found the small crescent scar on her left wrist. Aurora let go of his arm and opened the book wider. “Don’t look at me like that.” “Like what?” “Like the last three weeks were an inconvenience.” He bent his hand, and the line in his palm tightened. “They weren’t.” Something tapped the door. Once. Twice. Aurora picked up Eva’s pencil and traced the next line of text with its point. The blade had to cross the mark while both people held the handle. The person without the cut would speak the marked name. “There’s a name missing from the diagram.” She tilted the page towards him. “Do you know it?” “Yes.” “Tell me.” He shook his head. Aurora dropped the pencil. “No. We’re not doing this again.” “If you speak it, he’ll hear you.” “He’s at the door. I heard him before you did.” “That isn’t the same as giving him your voice.” She took hold of his stained cuff and pulled it back down over the mark, though the black had already reached the inside of his elbow. “Three weeks ago you took my keys. You let yourself into my flat, went through my bag and left with Eva’s notes. When I found you, you told me I’d made it easy.” “I did.” “You don’t get to hand me half an explanation and call it protection.” “I knew he was watching the flat. If I asked you for the notes, you’d have gone to fetch them. He wanted to see who carried the book out.” “So you made sure it was you.” “I took your keys because I knew you’d refuse.” “You could have told me afterwards.” Lucien’s mouth drew tight. He looked at the cut book on the table instead of at her. “I could have.” A long scrape passed across the door. The middle bolt gave a small click against its housing. Aurora put her palm over the page to keep it flat. She remembered the night he had left: his hand at the back of her neck in the dark outside her building, his kiss cut short by the sound of a car turning onto the street. Then his fingers in her coat pocket while she stood close enough to feel their warmth. She had spent weeks pulling that moment apart, searching for the point when he had chosen the keys. “Was any of it honest?” she asked. He raised his eyes to hers. “Yes.” “Which part?” “The part you’re thinking of.” “I was thinking of several.” His fingers closed around the cane. “Rory.” The use of her name caught her breath. A voice sounded on the other side of the door, muffled by wood. “Moreau. I know you’re in there.” Lucien reached for the hidden catch beneath the cane’s ivory handle. Aurora held it down. “You don’t get to use that voice with me and leave the rest buried.” “Ask what you came to ask.” She leaned across the table. He smelled of rain, blood and the sharp soap he always carried on his clothes. “Did you come to see me that night, or did you come for the keys?” His hand stayed beneath hers. “Both.” She had wanted one answer. She stood there with the other, his pulse beating against her thumb. At the door, metal struck metal. One of the bolts shuddered. Aurora pressed the catch. A thin blade slid from the cane and caught the kitchen light. She turned back to the diagram, then set the ivory handle in Lucien’s palm and wrapped her hand around his. “Tell me the name,” she told him. “Start with the first syllable.”
created_at"2026-09-23T16:32:22.404Z" 9/23/2026, 4:32:22 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency12057
moderation_latency(null)
generation_time39888
tokens_prompt1004
tokens_completion1775
native_tokens_prompt927
native_tokens_completion1984
native_tokens_completion_images0
native_tokens_reasoning490
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"completed"
service_tier"default"
usage0.021694
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790181142-1D359pzYc2Kn3XMYV1Pv"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790181142-6ZMFffA28xreznGyoH6c"
upstream_id"resp_062325c7dd89294a016ab3ff16811087d19dc1ca18fdce1473"
provider_responses
0
endpoint_id"1cfc7d9d-4404-4b8e-9ee4-58ae45c9dcd4"
id"resp_062325c7dd89294a016ab3ff16811087d19dc1ca18fdce1473"
is_byokfalse
latency935
model_permaslug"openai/gpt-6-sol-20260922"
provider_name"OpenAI"
status200
total_cost0.021694
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
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
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences58
tagDensity0.069
leniency0.138
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1183
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)
87.32% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1183
totalAiIsms3
found
0
word"traced"
count1
1
word"warmth"
count1
2
word"pulse"
count1
highlights
0"traced"
1"warmth"
2"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
narrationSentences85
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences85
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences139
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
totalWords1183
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
53.03% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions38
wordCount825
uniqueNames6
maxNameDensity1.94
worstName"Aurora"
maxWindowNameDensity3
worstWindowName"Aurora"
discoveredNames
Lucien11
Moreau1
Eva8
Thresholds1
Aurora16
Finds1
persons
0"Lucien"
1"Moreau"
2"Eva"
3"Aurora"
places(empty)
globalScore0.53
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences59
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1183
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences139
matches
0"pulling that moment"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs81
mean14.6
std15.3
cv1.048
sampleLengths
025
141
23
312
46
557
610
77
82
947
1015
115
126
134
1419
1521
165
176
1828
192
201
212
2256
2312
247
2511
263
276
2834
295
3011
319
322
336
348
3510
3621
375
389
3935
4022
416
422
438
4413
4544
4617
471
482
494
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences85
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs128
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences139
ratio0.007
matches
0"The amber eye fixed on her face; the black one caught the light from Eva’s kitchen."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount826
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.021791767554479417
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences139
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences139
mean8.51
std6.3
cv0.74
sampleLengths
025
19
216
316
43
57
65
76
85
922
104
1114
1212
1310
147
152
164
1711
1811
1921
208
217
225
236
244
255
2614
273
2812
296
305
316
327
3311
3410
352
361
372
3825
3915
4010
416
424
438
444
453
4611
473
486
495
63.07% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.39568345323741005
totalSentences139
uniqueOpeners55
41.15% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences81
matches
0"Then his fingers in her"
ratio0.012
66.91% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount31
totalSentences81
matches
0"His platinum hair had come"
1"He held his ivory-handled cane"
2"She shut the door and"
3"she told him"
4"He offered the book."
5"Its green cloth cover had"
6"It had vanished from this"
7"She pulled the book out"
8"His fur rose along his"
9"It moved as Aurora watched,"
10"She carried the book to"
11"She looked at his palm."
12"She pushed his sleeve towards"
13"His skin felt cold beneath"
14"His gaze found the small"
15"He bent his hand, and"
16"She tilted the page towards"
17"He shook his head."
18"She took hold of his"
19"He looked at the cut"
ratio0.383
9.38% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount73
totalSentences81
matches
0"Aurora opened the door on"
1"His platinum hair had come"
2"He held his ivory-handled cane"
3"The amber eye fixed on"
4"Aurora kept her hand on"
5"A floorboard creaked below them."
6"Lucien looked towards it."
7"Aurora slid the chain free,"
8"She shut the door and"
9"Lucien’s gaze dropped to her"
10"she told him"
11"He offered the book."
12"Its green cloth cover had"
13"Aurora recognised Eva’s cramped writing"
14"It had vanished from this"
15"She pulled the book out"
16"Blood marked the cover beneath"
17"Lucien looked at the door."
18"A soft scrape sounded from"
19"Aurora stepped back."
ratio0.901
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences81
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences41
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences58
tagDensity0.052
leniency0.103
rawRatio0
effectiveRatio0
87.3623%