Run: 2026-09-23-01M37HMGE1N4S25JAAW4BB6M7A

Run Details

Duration:
55.0s
Cost:
$0.030124
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 its chain. Lucien Moreau stood on Eva’s landing with Ptolemy tucked under one arm and his ivory-handled cane hooked over the other. A streak of plaster dust crossed the lapel of his charcoal suit. The cat looked pleased with himself. For a moment, neither of them moved. “Your prisoner?” Aurora asked. “He made it as far as the curry house.” “He hates the curry house.” “He appeared to hate being retrieved from its kitchen more.” Ptolemy stretched one paw towards her. Aurora slid the chain free and took him, pressing her nose into the fur between his ears before she could stop herself. He smelled of cumin and rain. “How did you know he was missing?” “I didn’t. I came to see Eva.” Lucien’s gaze passed over her shoulder, taking in the books stacked along the skirting board and the saucepan beneath the dripping window. “Is she here?” “Bristol. Until Thursday.” “Then I’ve wasted a journey.” “You’ve returned a cat.” “A more distinguished purpose.” He glanced down at his lapel. “One with claws.” Aurora held the door open a fraction wider. The third deadbolt caught against its frame as she moved, its metal tongue stiff since she’d arrived. Beyond Lucien, rain darkened the narrow stairwell. He made no move to come in. She had last seen him six weeks ago outside Silas’ bar. He had kissed her under the broken light above the back entrance, one hand against her cheek, the other braced on the brick beside her head. Then she had asked if he wanted to come upstairs. He had stepped away and told her wanting had nothing to do with it. Ptolemy wriggled. Aurora tightened her hold. “You’ve got blood on your hand.” Lucien looked at the thin red line across his knuckle. “Ptolemy objected to the stairs.” “That’s not yours.” A drop marked the cat’s back paw. “Come in. Eva’s got antiseptic somewhere.” Lucien entered, careful to leave his cane against the wall rather than among the scrolls piled beside it. Aurora shut the door with her heel and turned the three deadbolts. He watched her hands as she worked the stiff one home. “Still sticking?” “Only when someone’s looking.” She carried Ptolemy to the kitchen counter. The flat left barely enough room for Lucien to stand clear of the table; books occupied two chairs, a roll of notes the third. He shifted a stack of dictionaries onto the floor without being asked. “Don’t let him jump.” “I’ve faced worse opponents.” “None who could fit behind the fridge.” Aurora settled Ptolemy on a folded tea towel. Lucien planted a hand beside the cat’s chest while she inspected the paw. A shallow cut ran across one pad, no longer than a grain of rice. Ptolemy complained and shoved his face beneath Lucien’s wrist. “There’s grit in it.” She opened Eva’s kitchen cupboard, then another. “She keeps the first-aid kit in a biscuit tin. Unless she’s started keeping biscuits in it.” “The green tin?” “You’ve been here recently?” “Last month. Eva needed a page translated.” Aurora found the tin beneath a tower of mugs. Lucien had visited while she was still refusing to answer his calls. She hadn’t known. She set the tin on the counter and eased out a bottle of saline. “She never mentioned it.” “I asked her not to.” Aurora stopped with the cap halfway off. “You asked Eva to keep a secret from me?” “I asked her not to pass messages between us. I had no right to put her in that position.” “And you had a right to decide I wouldn’t want to know you were here?” “No.” Lucien kept his eyes on Ptolemy. “I didn’t.” She wanted to pursue that, but the cat’s paw trembled in her hand. She washed the cut while Lucien held him. Ptolemy sank his teeth into Lucien’s cuff, drew the fabric taut, and let it go once Aurora finished. “He’s fine,” she told the cat. “You can stop torturing him.” Ptolemy sprang from the counter. He landed on a sheet of Eva’s notes and carried it to the floor under one paw. Lucien examined his cuff. “He disagrees.” Aurora reached for the sheet. Lucien bent at the same time, and their heads almost touched. He drew back first. She collected the note and smoothed it on the table, though the paper had no crease. “Why did you go?” she asked. Lucien’s expression changed. “From the bar?” “You can pick one of the six weeks after it, if you prefer.” He straightened. In the cramped kitchen, the distance he put between them amounted to half a step. “I thought staying would make things worse.” “You didn’t stay long enough to find out.” “I know.” “No, you don’t.” Aurora folded the tea towel around the damp corner Ptolemy had left on it. “You kissed me. I asked you upstairs. You looked at me as if I’d asked you to hand over your cane and then you told me wanting didn’t matter. I went up alone and spent the night wondering what I’d missed.” Lucien’s jaw tightened. “You missed nothing.” “Then explain it.” From the curry house below came the rattle of crockery and a burst of laughter. Lucien rested his fingertips on the back of the empty chair. “I wanted to come upstairs.” “That much I worked out.” “I also knew I would leave before morning. I had a train to catch. I’d promised someone I’d be in Calais.” “A train.” Aurora stared at him. “You could have told me about a train.” “I could have. I should have.” He rubbed the scratch on his knuckle with his thumb. “I heard myself refusing you and thought I could make it sound kinder than ‘I have to leave at five.’ It came out as if you’d asked too much.” “You made me feel like you’d given me something by kissing me, then regretted it.” “I regretted what I said. I don’t regret kissing you.” Ptolemy leapt onto the table and pushed his face into Lucien’s hand. Lucien scratched beneath the cat’s chin, his gaze still on Aurora. “Why didn’t you call when you got back?” she asked. “I did.” “Once. You rang once.” “Yes.” He gave Ptolemy’s chin another scratch. “You didn’t answer. After that, I told myself I ought to leave you alone.” “That’s convenient.” “It was cowardly.” Aurora leaned against the counter. He didn’t soften the admission or offer her the train as an excuse. Rain tapped at the window. Ptolemy stepped onto an open book, leaving a faint pink print on its margin. “Off.” She lifted him down. “Eva’s going to ask why there’s blood on her notes.” “I’ll take the blame.” “You took the scratches. She’ll believe you.” Lucien’s mouth moved, close to a smile. Aurora remembered it against hers, and gripped the edge of the counter. She had wanted him out of Eva’s flat a minute ago. Now she wanted him to cross the narrow stretch of lino, which annoyed her more. “I was angry,” she told him. “Not because you left that night. Because you let me guess why.” “I know that now.” “You can ask me what I want instead of deciding it for me.” “I can.” His hand fell away from the chair. “What do you want, Aurora?” She glanced at the door. His cane stood beside it, rainwater gathering beneath its tip. He followed her glance but stayed where he was. “I want you to come here.” He crossed the kitchen. Aurora put a hand against his lapel, stopping him with the plaster dust still between them. Close up, she could see a loose thread where Ptolemy had caught his cuff. “I’m still angry.” “You can be.” “You don’t get another six weeks of silence because this is difficult.” “No.” She studied his face. His amber eye caught the kitchen light; the black one gave nothing back. Neither looked away. Aurora drew him down by his lapel and kissed him. He kept his hands at his sides until she caught one and placed it at her waist. His fingers closed against her jumper, warm through the wool. Ptolemy yowled beside the fridge. Aurora broke the kiss and looked past Lucien. The cat sat by his empty bowl, wounded paw lifted clear of the floor. “He wants his supper.” Lucien glanced at the bowl. “Should I be offended?” “Not yet.” Aurora took the tin opener from the drawer and passed him a can of cat food. “You can make yourself useful.”
created_at"2026-09-23T16:29:59.628Z" 9/23/2026, 4:29:59 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency19314
moderation_latency(null)
generation_time54909
tokens_prompt1004
tokens_completion2204
native_tokens_prompt927
native_tokens_completion2827
native_tokens_completion_images0
native_tokens_reasoning962
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"
usage0.030124
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790180999-spcohNviN5SIhfsIC6yN"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790180999-udwlvuZT4CpUaZ44moDw"
upstream_id"resp_06e73402f85b4b36016ab3fe87db4487d1a6cc6d33074f2455"
provider_responses
0
endpoint_id"1cfc7d9d-4404-4b8e-9ee4-58ae45c9dcd4"
id"resp_06e73402f85b4b36016ab3fe87db4487d1a6cc6d33074f2455"
is_byokfalse
latency1248
model_permaslug"openai/gpt-6-sol-20260922"
provider_name"OpenAI"
status200
total_cost0.030124
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
totalTags18
adverbTagCount0
adverbTags(empty)
dialogueSentences81
tagDensity0.222
leniency0.444
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1423
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)
92.97% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1423
totalAiIsms2
found
0
word"trembled"
count1
1
word"silence"
count1
highlights
0"trembled"
1"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
narrationSentences93
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences93
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences157
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen41
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1423
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions21
unquotedAttributions0
matches(empty)
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions62
wordCount897
uniqueNames5
maxNameDensity2.45
worstName"Lucien"
maxWindowNameDensity4.5
worstWindowName"Lucien"
discoveredNames
Moreau1
Eva4
Ptolemy15
Aurora20
Lucien22
persons
0"Moreau"
1"Eva"
2"Ptolemy"
3"Aurora"
4"Lucien"
places(empty)
globalScore0.274
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences68
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1423
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences157
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs91
mean15.64
std14.3
cv0.915
sampleLengths
045
17
24
39
45
510
634
77
832
93
105
114
1213
1339
1461
156
166
1715
1816
1941
202
214
2243
234
244
257
2644
2727
283
294
307
3138
324
335
3416
3519
3615
379
3839
3911
4022
416
4236
436
446
4513
4617
477
488
492
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences93
matches
0"being asked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs160
matches
0"was still refusing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount2
flaggedSentences2
totalSentences157
ratio0.013
matches
0"The flat left barely enough room for Lucien to stand clear of the table; books occupied two chairs, a roll of notes the third."
1"His amber eye caught the kitchen light; the black one gave nothing back."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount664
adjectiveStacks0
stackExamples(empty)
adverbCount11
adverbRatio0.016566265060240965
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences157
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences157
mean9.06
std6.15
cv0.678
sampleLengths
07
120
212
36
47
54
69
75
810
96
1022
116
127
1329
143
153
165
174
1810
193
208
2117
227
237
2411
2526
2610
2714
282
294
306
3110
325
3310
346
3518
3612
3711
382
394
407
4124
4212
434
444
457
468
4713
4814
499
45.54% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.27388535031847133
totalSentences157
uniqueOpeners43
37.88% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences88
matches
0"Then she had asked if"
ratio0.011
70.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences88
matches
0"He smelled of cumin and"
1"He glanced down at his"
2"He made no move to"
3"She had last seen him"
4"He had kissed her under"
5"He had stepped away and"
6"He watched her hands as"
7"She carried Ptolemy to the"
8"He shifted a stack of"
9"She opened Eva’s kitchen cupboard,"
10"She hadn’t known."
11"She set the tin on"
12"She wanted to pursue that,"
13"She washed the cut while"
14"she told the cat"
15"He landed on a sheet"
16"He drew back first."
17"She collected the note and"
18"He rubbed the scratch on"
19"He gave Ptolemy’s chin another"
ratio0.375
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount81
totalSentences88
matches
0"Aurora opened the door on"
1"Lucien Moreau stood on Eva’s"
2"A streak of plaster dust"
3"The cat looked pleased with"
4"Ptolemy stretched one paw towards"
5"Aurora slid the chain free"
6"He smelled of cumin and"
7"Lucien’s gaze passed over her"
8"He glanced down at his"
9"Aurora held the door open"
10"The third deadbolt caught against"
11"He made no move to"
12"She had last seen him"
13"He had kissed her under"
14"He had stepped away and"
15"Aurora tightened her hold."
16"Lucien looked at the thin"
17"A drop marked the cat’s"
18"Lucien entered, careful to leave"
19"Aurora shut the door with"
ratio0.92
56.82% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences88
matches
0"Now she wanted him to"
ratio0.011
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences40
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags18
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount0
fancyTags(empty)
dialogueSentences81
tagDensity0.062
leniency0.123
rawRatio0
effectiveRatio0
87.3293%