Run: 2026-09-23-01M37HRP3WYNPK7P24QVDF2FK7

Run Details

Duration:
53.2s
Cost:
$0.028664
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 with a carton of cold noodles in one hand and found Lucien Moreau on the landing. Rain had darkened his charcoal suit to the colour of pavement. His platinum hair had come loose across his forehead. He held his ivory-handled cane under one arm and pressed his other hand against the doorframe, leaving a red print on the paint. “Before you shut it,” he began, “I need a basin.” Aurora looked at the blood on his fingers, then at his face. His amber eye met hers. The black one caught the light from the stairwell and gave nothing back. “Six weeks,” she told him. “That’s how long it’s been since you managed a complete sentence in my direction.” “I can manage another if you let me inside.” She set the noodles on the floor and stepped aside. Lucien crossed the threshold without brushing against her. She watched him do it. The flat above Silas’s bar left little room for avoidance: a sofa, a narrow kitchen, a table crowded with delivery receipts and two scrolls borrowed from Eva. Lucien stopped beside the sink as if the few feet between it and the door might exhaust him. Aurora turned on the tap. “What happened?” “A disagreement.” “With someone who brought a knife?” “With someone who kept one in his sleeve. I had it removed.” Blood ran from Lucien’s palm into the basin, turning the water pink. A cut crossed the base of his thumb and disappeared under his cuff. Aurora pulled the first-aid box from a cupboard and put it on the counter. “You have more blood on your sleeve than that cut could account for.” “Yes.” “Take off the jacket.” “Rory—” “Take it off, or I’ll put you back on the landing with the basin.” His mouth tightened. He set down his cane and eased the jacket from his shoulders. Dark blood soaked the side of his shirt. When Aurora reached for the hem, he caught her wrist, then released it at once. His fingers had landed against the small crescent scar there. “Sorry.” He braced his uninjured hand on the counter. “There’s something in the wound.” Aurora lifted the shirt. A narrow slice cut across his ribs. At its centre sat a sliver of black metal, no larger than a staple. The skin around it had begun to close. “What is it?” “I didn’t stop to ask.” “You came here instead of a hospital.” “A hospital would have taken the metal out and given it back to whoever came looking. I came to you because you’d ask what it was first.” “That’s a lot of faith to put in someone you walked out on.” Lucien looked at the sliver rather than at her. “Yes.” Downstairs, Silas hauled open a door. Music and the thud of voices climbed the stairwell, then vanished when it swung shut. Aurora took a pair of tweezers from the box and held the tips under the tap. “This will hurt.” “I know.” “I wasn’t asking you to be brave. Hold your shirt up.” Lucien obeyed. Aurora caught the metal with the tweezers. His breath stopped as she drew it free. The sliver dragged a bead of blood behind it and struck the bottom of the basin with a hard little click. “There.” She reached for gauze. “You can breathe.” He let the shirt fall into his hand but kept it clear of the cut. Aurora cleaned and dressed the wound while he gripped the edge of the counter. His control lasted until she taped the final corner; then his shoulders dropped. “What were you doing with the man in the sleeve?” Lucien glanced at his wet jacket. “In the inside pocket.” Aurora stared at him. “It’s for you. Please.” She put down the tape, searched the jacket and found a small velvet pouch. Inside lay a silver ring threaded onto a worn black cord. She knew the nick beside the setting. She had made it at fifteen, prising open a battery compartment with the ring because she couldn’t find a screwdriver. She closed her fist around it. “I found it in a drawer after you left,” she told him. “You’d taken it from my room.” “Yes.” “You asked me about Evan that night. You kissed me. Then I went to bed, and you took this.” “Yes.” Aurora pulled the cord free of the pouch. Her father had tied it for her before she left Cardiff; the knot remained clumsy and firm. “You can spare me the explanation if it ends with you doing what was best for me.” “It doesn’t.” “Good.” Lucien’s gaze followed the ring as she set it on the counter, well away from him. “A man came to me with Evan’s name and a photograph of you leaving the Golden Empress. He wanted your address. I gave him a false one.” Aurora’s stomach clenched. “And my ring?” “He knew enough to doubt me. I needed him to take something he could carry back to the person paying him.” “You had my ring in your hand, so he took that.” “I offered it.” She turned towards him. “You could have told me when you came back.” “I should have told you before I went.” “You spent the night at my place. You sat here eating the food I’d brought home. You knew someone had followed me from work.” “I knew someone had photographed you. I didn’t know if he’d followed you.” “That difference meant a lot to you, did it?” “It meant I could leave you one night of sleep.” Aurora gave a short laugh. “Evan used to decide what I could bear to hear. He had a reason for every lie, too.” Lucien’s face changed. He looked down at the blood-stained gauze and took his hand off the counter. “I know what I did,” he told her. “Do you? Because when I found the ring gone, I thought you’d taken it as some sort of payment. Then I thought you might have needed it. I spent six weeks coming up with reasons not to ask you.” “You sent a message.” “Three. You answered one. ‘I have matters to settle.’” She recited the words with the crisp precision they deserved. “I could have put that on a card and sold it to every woman in London who’d ever met you.” A flush reached his cheekbones. He picked up his cane, using it to steady himself. “The ring reached a broker in Whitechapel,” he told her. “I spent those weeks finding out where he’d put it and who had paid for the photograph. I have the name. It’s written on the paper in my jacket.” Aurora searched the pocket again. A folded receipt bore an address, a name and a sum of money in Lucien’s neat handwriting. “You waited until now to give me this.” “I meant to come when I had the ring. The broker refused to sell it back.” “So you took it.” “He should have accepted the money.” She looked at the bandage beneath his shirt. “You went there alone.” “I did.” “You still haven’t learned it.” Lucien leaned against the counter. “No. I saw that when I reached your door.” Aurora read the receipt a second time. The name meant nothing to her. She laid it beside the ring and pulled out a chair. “Sit before you fall against something else.” “I can leave.” “You’ve got blood on my floor. You can sit.” He sat. Aurora fetched a clean towel and dropped it on the table in front of him. From the corner of her eye, she saw him take hold of it but leave it folded. She picked up her phone. “I’m sending Eva the name. She’ll know how to check it.” Lucien nodded. He kept his eyes on the table while she took a photograph of the receipt and sent it. “When did you first hear about the photograph?” Aurora asked. “The afternoon I came here.” She checked the message had gone through. “Next time you hear someone’s after me, you tell me that afternoon. Even if you have no plan. Even if you think I’ll be frightened.” “All right.” “And you don’t take my things.” “No.” Aurora slid the ring back onto the cord. She held it for a moment, feeling the old knot against her thumb, then fastened it around her neck. Lucien watched her, one hand resting beside the untouched towel. “I’m sorry I left you to find out alone.” She pulled out the chair opposite his. It scraped against the floorboards. “Your shirt needs changing,” she told him. “Silas has one downstairs you can borrow.” “I’ll pay him for it.” “You can argue with Silas when you can stand without holding on to my sink.” She opened the noodle carton and pushed it across the table. “Eat. I’m going down.”
created_at"2026-09-23T16:32:16.516Z" 9/23/2026, 4:32:16 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency18938
moderation_latency(null)
generation_time53174
tokens_prompt1004
tokens_completion2202
native_tokens_prompt927
native_tokens_completion2681
native_tokens_completion_images0
native_tokens_reasoning835
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"
usage0.028664
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790181136-yxtdxufRudtGlBupPaTf"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790181136-rubpq5wfoyY9prvV8R85"
upstream_id"resp_0ed0e2bb38ce3d6d016ab3ff10a03087d1805e8a1a66df4b1b"
provider_responses
0
endpoint_id"1cfc7d9d-4404-4b8e-9ee4-58ae45c9dcd4"
id"resp_0ed0e2bb38ce3d6d016ab3ff10a03087d1805e8a1a66df4b1b"
is_byokfalse
latency1205
model_permaslug"openai/gpt-6-sol-20260922"
provider_name"OpenAI"
status200
total_cost0.028664
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
totalTags11
adverbTagCount0
adverbTags(empty)
dialogueSentences80
tagDensity0.138
leniency0.275
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1479
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)
93.24% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1479
totalAiIsms2
found
0
word"velvet"
count1
1
word"stomach"
count1
highlights
0"velvet"
1"stomach"
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
narrationSentences83
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences83
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences152
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen39
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1479
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions18
unquotedAttributions0
matches(empty)
36.22% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount791
uniqueNames6
maxNameDensity2.28
worstName"Aurora"
maxWindowNameDensity3.5
worstWindowName"Aurora"
discoveredNames
Lucien13
Moreau1
Aurora18
Silas2
Eva1
Cardiff1
persons
0"Lucien"
1"Moreau"
2"Aurora"
3"Silas"
4"Eva"
places
0"Cardiff"
globalScore0.362
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences57
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1479
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences152
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs95
mean15.57
std13.33
cv0.856
sampleLengths
020
143
210
330
419
59
610
758
87
92
106
1112
1239
1313
141
154
161
1714
1848
1914
2033
213
225
237
2427
2513
2610
2737
283
292
3011
3138
328
3342
3410
3510
364
374
3852
396
4018
411
4219
431
4425
4517
462
471
4843
496
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences83
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs138
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount2
flaggedSentences2
totalSentences152
ratio0.013
matches
0"His control lasted until she taped the final corner; then his shoulders dropped."
1"Her father had tied it for her before she left Cardiff; the knot remained clumsy and firm."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount794
adjectiveStacks0
stackExamples(empty)
adverbCount11
adverbRatio0.013853904282115869
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences152
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences152
mean9.73
std6.83
cv0.702
sampleLengths
020
111
29
323
410
512
65
713
85
914
109
1110
128
135
1427
1518
165
172
182
196
2012
2112
2213
2314
2413
251
264
271
2814
293
3012
318
3215
3310
349
355
364
377
3814
398
403
415
427
4327
4413
459
461
476
4815
4916
47.37% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.29605263157894735
totalSentences152
uniqueOpeners45
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences78
matches(empty)
ratio0
35.38% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount36
totalSentences78
matches
0"His platinum hair had come"
1"He held his ivory-handled cane"
2"His amber eye met hers."
3"she told him"
4"She set the noodles on"
5"She watched him do it."
6"His mouth tightened."
7"He set down his cane"
8"His fingers had landed against"
9"He braced his uninjured hand"
10"His breath stopped as she"
11"She reached for gauze"
12"He let the shirt fall"
13"His control lasted until she"
14"She put down the tape,"
15"She knew the nick beside"
16"She had made it at"
17"She closed her fist around"
18"she told him"
19"Her father had tied it"
ratio0.462
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount73
totalSentences78
matches
0"Aurora opened the door with"
1"Rain had darkened his charcoal"
2"His platinum hair had come"
3"He held his ivory-handled cane"
4"Aurora looked at the blood"
5"His amber eye met hers."
6"The black one caught the"
7"she told him"
8"She set the noodles on"
9"Lucien crossed the threshold without"
10"She watched him do it."
11"The flat above Silas’s bar"
12"Lucien stopped beside the sink"
13"Aurora turned on the tap."
14"Blood ran from Lucien’s palm"
15"A cut crossed the base"
16"Aurora pulled the first-aid box"
17"His mouth tightened."
18"He set down his cane"
19"His fingers had landed against"
ratio0.936
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences78
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences35
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount0
fancyTags(empty)
dialogueSentences80
tagDensity0.075
leniency0.15
rawRatio0
effectiveRatio0
83.7404%