Run: 2026-09-23-01M37HJPSN95H9S8MYCXNTWKES

Run Details

Duration:
55.2s
Cost:
$0.027826
Provider:
OpenAI

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
Aurora opened the door with the chain still on. Lucien Moreau stood on the landing in a charcoal suit darkened by rain. His platinum hair had come loose at the temples, and he held his ivory-handled cane under one arm while he pressed a handkerchief to his ribs. Blood had soaked through it. For a moment, she could only look at him. Six weeks ago, she’d watched him put her into a cab after kissing her outside Silas’s bar. He’d told her it had been a mistake. She had let the cab take her around the block, then come home and listened to his footsteps in the street below. “Rory,” he said. “You know where the hospital is.” “Yes.” He glanced toward the stairwell. “May I come in?” A door opened on the floor below. Someone called a cheerful goodnight to Silas, and Lucien’s hand tightened on the cloth at his side. Aurora shut her door, slid the chain free, and opened it again. He stepped inside. She locked up behind him and turned to find him leaning on the cane, eyes closed. A drop of blood fell from his handkerchief onto the floorboards. “Sit down,” she said. “Your welcome has lost none of its warmth.” “Then you should have called ahead.” He gave a short breath that might have been a laugh. Aurora cleared a stack of delivery receipts from the chair by the window. Lucien sat with care, setting the cane across his knees. Up close, she could see a cut beneath his jaw and the fine tremor in his fingers. She got a clean tea towel from the kitchenette and filled a bowl with warm water. Her hands knew what to do. Her mind kept returning, unhelpfully, to the fact that he was here. “What happened?” “A man with a knife.” “Helpful.” “He wanted something I had.” Lucien watched her set the bowl on the table. “I still have it.” Aurora lifted the bloodied handkerchief. The cut beneath his ribs was narrow, but deep enough to make her stomach tighten. She held the clean towel against it. “You need stitches.” “I know.” “Is he following you?” “I don’t think so. I lost him near Aldgate.” “Then why come here?” Lucien looked up at her. His eyes never settled into anything easy: one amber, one black, both fixed on her face. “Because it concerns you.” Of course it did. Aurora pressed harder when the towel reddened. Lucien drew in a sharp breath and gripped the arms of the chair. “Sorry,” she said. “Don’t be.” She left the towel in his hand and fetched her phone. “I’m calling for help.” “A doctor I know can come.” “Will he actually come?” “Yes. Rory—” “You can tell me the rest while we wait.” He took out his phone and made the call. His French came fast and low; she understood only an address and the repeated insistence that the doctor hurry. When he finished, he looked paler. Aurora pulled the other chair close enough to see the wound without standing over him. “Well?” Lucien reached inside his jacket. She almost told him to keep pressure on the cut, but he drew out a small square of folded paper and handed it to her. It was a delivery slip from the Golden Empress. She recognised the cheap yellow paper, Yu-Fei’s square handwriting across the top, and her own initials beside yesterday’s afternoon run. One order had been circled in red. “The man took this from a ledger at the restaurant,” Lucien said. “He asked which driver had made that delivery.” Aurora stared at the address. A solicitor’s office near Farringdon. She remembered the receptionist who had signed for the food, the lift that had taken too long, a man in a brown coat who had held the door for her on the way out. “Why was he looking?” “I don’t know yet. I went to ask him. He tried to take the slip back.” “And brought a knife.” “Yes.” She put the paper on the table. “Why didn’t you tell Yu-Fei?” “I have. She said you finished an hour ago.” “So you came here.” She looked at his wound. “Did you at least tell her you were hurt?” “I was not hurt then.” “That’s almost impressive.” He eased back, still holding the towel in place. Rain tapped the window. From below came the muffled swell of voices as Silas’s door opened, then music when it shut again. Her ordinary Friday night sat just beyond the floorboards, close enough to hear and suddenly hard to imagine joining. “You should call Eva,” Lucien said. “Ask if you can stay at her flat tonight.” Aurora’s gaze snapped to his. “No.” “She has three deadbolts.” “She also has a cramped flat full of paper and a cat who’ll try to eat the bloody bandages. I’m not leading anyone there because you’ve decided it’s safer.” “I’m trying to give you an option.” “You gave it to me like an instruction.” She stood and went to the sink, though there was nothing there she needed. “You’re good at that.” Behind her, the chair creaked. “Rory.” She kept her hands braced on the edge of the counter. On the street six weeks ago, she’d had enough to drink to let him kiss her and not enough to forget what followed. He had touched her face as though she mattered, then arranged a cab and told her, gently, that she should go. Every question she’d tried to ask had met the same polished refusal. She turned. “If you wanted my help tonight, you could have told me that.” “I did.” “You told me about a knife after you’d come in. You told me to go to Eva’s before I’d even had time to think.” She glanced at the slip. “I’ll decide what to do with it. And I’m glad you brought it to me.” Lucien lowered his eyes. For once, he seemed to have no answer ready. Aurora came back to the table and picked up the slip. The red circle cut through the telephone number of the office. She remembered holding the food bag against her hip while the receptionist searched for a pen. “The man who held the door,” she said. “Brown coat, maybe forty. He watched me get into the lift. Could be nothing.” “What did he look like?” She described him. Lucien listened without interrupting, then asked for the time and whether she’d seen him when she came back down. She hadn’t. They went over the route, the order, the name on the receipt. By the end she could feel herself settling: frightened, yes, but thinking clearly. “I’ll tell Yu-Fei everything,” Aurora said. “And I’m calling the office in the morning. I want to know who placed that order.” Lucien nodded. “Good.” She sat back. “You can stay until the doctor gets here.” “Thank you.” “I’m still angry with you.” “I know.” “I don’t think you do.” She folded the slip along its old crease. “That night, you said kissing me was a mistake. Then you left me to work out whether you meant the kiss or me.” His face changed, a small break in his composure that she might have missed if she hadn’t spent so much time looking for one. “I meant the choice I’d made without thinking what would come after.” “And what would come after?” “I wanted to see you the next morning.” He glanced down at the bloody towel in his hand. “I wanted to see you every morning. I knew I’d made promises I couldn’t keep by kissing you the way I did.” She could have asked which promises. She could have let him explain himself into something blameless. Instead she waited. “I should have told you that,” he said. “I should have let you tell me what you wanted. I’m sorry.” Aurora looked at the little crescent scar on her wrist, pale against the yellow paper. It had been a long time since she’d been twenty and trying to make herself comfortable with someone else making her decisions. Lucien wasn’t Evan. That didn’t make the silence harmless. “I wanted you to come back,” she said. “I was furious that I did.” “I came by the bar twice.” “You didn’t come upstairs.” “No.” He met her eyes. “I was afraid you’d ask me to leave.” “I might have.” “You would have had every right.” A knock sounded at the door. Both of them went still. Lucien’s hand closed around the ivory handle of his cane. “Moreau?” a woman called from the landing. “If I’ve crossed London for a paper cut, I’m charging double.” Lucien let out a breath. “The doctor.” Aurora checked through the peephole before opening the door. The woman outside held a medical bag and wore the expression of someone prepared to be disappointed in both her patients. Aurora stepped aside. As the doctor took in Lucien’s condition and ordered him to remove his jacket, Aurora picked up her phone. Yu-Fei would still be at the restaurant. They had a delivery to discuss. Lucien looked at her while the doctor cut away his shirt. Aurora held his gaze long enough for him to see that she was staying, then called Yu-Fei herself.
created_at"2026-09-23T16:29:00.604Z" 9/23/2026, 4:29:00 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency18230
moderation_latency(null)
generation_time55126
tokens_prompt788
tokens_completion2326
native_tokens_prompt753
native_tokens_completion2632
native_tokens_completion_images0
native_tokens_reasoning663
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"
usage0.027826
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790180940-p2RG9JxuanNGHTlnH2Nn"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790180940-ZetUQI4SdqqRIAUmvsdC"
upstream_id"resp_0c118578e394ec75016ab3fe4cc14487d183677661666b3b68"
provider_responses
0
endpoint_id"1cfc7d9d-4404-4b8e-9ee4-58ae45c9dcd4"
id"resp_0c118578e394ec75016ab3fe4cc14487d183677661666b3b68"
is_byokfalse
latency1016
model_permaslug"openai/gpt-6-sol-20260922"
provider_name"OpenAI"
status200
total_cost0.027826
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)
dialogueSentences80
tagDensity0.225
leniency0.45
rawRatio0
effectiveRatio0
93.52% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1544
totalAiIsmAdverbs2
found
0
adverb"suddenly"
count1
1
adverb"gently"
count1
highlights
0"suddenly"
1"gently"
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)
80.57% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1544
totalAiIsms6
found
0
word"footsteps"
count1
1
word"warmth"
count1
2
word"stomach"
count1
3
word"could feel"
count1
4
word"comfortable"
count1
5
word"silence"
count1
highlights
0"footsteps"
1"warmth"
2"stomach"
3"could feel"
4"comfortable"
5"silence"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"let out a breath"
count1
highlights
0"let out a breath"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences104
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount2
narrationSentences104
filterMatches(empty)
hedgeMatches
0"tried to"
1"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences166
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1544
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions29
unquotedAttributions0
matches(empty)
67.95% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions45
wordCount1036
uniqueNames11
maxNameDensity1.64
worstName"Lucien"
maxWindowNameDensity2.5
worstWindowName"Lucien"
discoveredNames
Moreau1
Silas3
Lucien17
Aurora15
French1
Golden1
Empress1
Yu-Fei3
Farringdon1
Friday1
Evan1
persons
0"Moreau"
1"Silas"
2"Lucien"
3"Aurora"
4"French"
5"Yu-Fei"
6"Evan"
places
0"Golden"
1"Farringdon"
globalScore0.68
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences69
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1544
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences166
matches
0"see that she"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs89
mean17.35
std15.61
cv0.9
sampleLengths
09
144
256
33
46
510
636
730
84
98
106
1151
1234
132
145
151
1618
1727
183
192
204
219
224
2325
2424
253
262
2715
286
294
302
319
3234
3316
3430
3536
3620
3744
384
3916
404
411
4212
439
4418
455
463
4750
4815
496
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences104
matches
0"been circled"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs191
matches
0"was staying"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences166
ratio0.006
matches
0"His French came fast and low; she understood only an address and the repeated insistence that the doctor hurry."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1040
adjectiveStacks0
stackExamples(empty)
adverbCount34
adverbRatio0.032692307692307694
lyAdverbCount6
lyAdverbRatio0.0057692307692307696
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences166
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences166
mean9.3
std6.65
cv0.715
sampleLengths
09
113
226
35
49
517
68
722
83
96
106
114
127
1317
1412
153
1616
1711
184
198
206
2111
2213
2310
2417
2516
266
2712
282
295
301
3114
324
335
3415
357
363
372
384
399
404
415
4216
434
444
457
4613
473
482
4911
49.60% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.3373493975903614
totalSentences166
uniqueOpeners56
72.46% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences92
matches
0"Of course it did."
1"Instead she waited."
ratio0.022
50.43% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount39
totalSentences92
matches
0"His platinum hair had come"
1"He’d told her it had"
2"She had let the cab"
3"He glanced toward the stairwell"
4"He stepped inside."
5"She locked up behind him"
6"He gave a short breath"
7"She got a clean tea"
8"Her hands knew what to"
9"Her mind kept returning, unhelpfully,"
10"She held the clean towel"
11"His eyes never settled into"
12"She left the towel in"
13"He took out his phone"
14"His French came fast and"
15"She almost told him to"
16"It was a delivery slip"
17"She recognised the cheap yellow"
18"She remembered the receptionist who"
19"She put the paper on"
ratio0.424
30.65% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount79
totalSentences92
matches
0"Aurora opened the door with"
1"Lucien Moreau stood on the"
2"His platinum hair had come"
3"Blood had soaked through it."
4"He’d told her it had"
5"She had let the cab"
6"He glanced toward the stairwell"
7"A door opened on the"
8"Someone called a cheerful goodnight"
9"Aurora shut her door, slid"
10"He stepped inside."
11"She locked up behind him"
12"A drop of blood fell"
13"He gave a short breath"
14"Aurora cleared a stack of"
15"Lucien sat with care, setting"
16"She got a clean tea"
17"Her hands knew what to"
18"Her mind kept returning, unhelpfully,"
19"Lucien watched her set the"
ratio0.859
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences92
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences44
technicalSentenceCount1
matches
0"She remembered the receptionist who had signed for the food, the lift that had taken too long, a man in a brown coat who had held the door for her on the way ou…"
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
totalTags10
fancyCount0
fancyTags(empty)
dialogueSentences80
tagDensity0.125
leniency0.25
rawRatio0
effectiveRatio0
88.1732%