Run: 2026-09-23-01M36NWF74H475FJRZTYD7TFJ0

Run Details

Duration:
1m 2s
Cost:
$0.002250
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="4413" name="Silas Blackwood" aliases="Silas, Si, the Spymaster" pronouns="he/him" species="Human" storyRole="Mentor"> <eyeColor>hazel</eyeColor> <hair>grey-streaked auburn</hair> <height>6'1"</height> <age>58</age> <beard>neatly trimmed, matching his grey-streaked auburn hair</beard> <limp>slight limp in his left leg from an old knee injury</limp> <signetRing>silver signet ring, always worn on his right hand</signetRing> <description>Silas is a retired intelligence operative turned bar owner. He carries himself with quiet authority.</description> <backstory>Former MI6 field agent who retired after a botched operation in Prague left him with a permanent knee injury. He opened "The Raven's Nest" bar in Soho as a front for his network of contacts.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> </codex> Write a fully fleshed out scene of at least 1000 words in the literary fiction genre. Two old friends who haven't seen each other in years run into each other unexpectedly at a bar. One of them has changed significantly. Through their conversation and the tension between who they were and who they've become, reveal the weight of time and unspoken regret. 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
The rain had got into everything: the cuffs of Rory’s jacket, the paper bag on the bar, the loose curl of a receipt in her pocket. She had come in from the street with the delivery box still strapped to her back and her hair damp against her cheeks. Silas had looked up from polishing a glass and said, “You’re dripping on my floor,” in the tone he used when he meant she was home. Now she sat at the end of the bar, one boot hooked around the stool rung, warming her hands around a mug of tea. The Raven’s Nest was quiet between the dinner rush and the first wave of drinkers. Old maps crowded the walls. In the black-and-white photographs, men with grave faces stared out from a London that had been bombed and rebuilt and then bombed again in smaller, more intimate ways. The green neon outside stained the rain-bright window. Rory watched it shiver on the glass and tried not to think about Cardiff. The door opened. A draft moved through the bar, carrying the wet-stone smell of Soho. The woman who came in paused just inside, removing a dark wool hat. She had close-cropped hair, nearly black, and a narrow silver line at one temple. Her coat was buttoned to the throat. She stood still long enough for the door to fall shut behind her, as if she had come somewhere by mistake and was considering whether to leave. Rory knew her by the way she held her shoulders. Then the woman looked up. “Eva?” The name came out too loud. Silas glanced over from the taps. The woman’s mouth parted, and for a moment she was the girl Rory remembered: all bright teeth and dare, a red scarf flying behind her as she ran down the hill toward the sea. Then her expression gathered itself. “Rory.” It was still Eva’s voice, but quieter. The years had taken the lift from it, or taught her where to put it. Rory stood. The stool scraped sharply over the floor. They looked at each other across the narrow space between bar and door. Rory had imagined this in scraps, never as a whole. She had imagined Eva with the same long hair, the same furious red mouth, the same gold hoops that swung when she laughed. She had not imagined this woman, whose face seemed both familiar and carefully kept. “You’re here,” Rory said. “So are you.” Eva’s eyes moved over her: damp jacket, delivery bag, black hair stuck to her jaw. “I mean. I know you’re in London. I just—” “I work here.” Rory lifted one hand toward the bar, then felt foolish. “Not here. Upstairs. I live upstairs.” Eva looked at the ceiling, as if she might see through it to Rory’s flat. “Of course you do.” Silas set down his glass. “Friend of yours?” “Old friend,” Rory said. Eva’s gaze flicked to him. “Silas?” “He owns the place.” “Right.” She offered a small, cautious smile. “I’ve heard about you.” “Only good things, I hope.” Silas’s silver signet ring caught the low light as he reached for another glass. “Drink?” “Just a soda water, please.” Rory remembered Eva drinking cider from a plastic cup behind the leisure centre, making a face at the bitterness and insisting she loved it. She remembered Eva nicking a bottle of her father’s whisky and coughing until she cried. She remembered the girl who once climbed through Rory’s bedroom window at midnight because Rory had said she was fine and Eva knew she was lying. Soda water. A dry coat. Hair cut close to the skull. They sat at a small table beneath a photograph of a street market. Rory had no idea what to do with her hands. The scar on her left wrist, pale and crescent-shaped, showed above her sleeve. Eva’s eyes settled there briefly, then lifted. “How long has it been?” Eva asked. “Seven years?” “Eight, I think.” Rory tried to count. Eight years since Cardiff, since the last time they had stood together on a wet pavement and promised to call. Six since the messages had thinned into birthdays, then stopped. The arithmetic seemed wrong because it made her feel older than she was. “Eight,” she said. Eva pulled the coat closer around herself. “You look well.” “So do you.” It was the first lie between them and not the last. Silas brought the soda water and another tea without asking. He set them down with the quiet tact of a man who knew when a room had changed shape, then returned to the bar. Eva looked at the tea. “You still drink it like a Victorian invalid?” “It’s warm.” “You used to put six sugars in it.” “I was twelve.” “You were fifteen. You said it was because the tea was terrible.” “It was terrible.” Eva smiled. It reached her eyes, but didn’t stay. Rory felt the old reflex rise in her—the wish to keep Eva smiling, to perform some version of herself they both knew. She had been quick and funny once, or had learned to be when Eva was around. Rory’s jokes had always arrived half a second after Eva’s, polished by envy. “What are you doing in Soho?” Rory asked. “Waiting for someone. They’re late.” Eva turned the glass between her palms. “I was walking past and needed somewhere out of the rain.” “You came all the way from Cardiff to wait out the rain in Silas’s bar?” “London’s full of places to wait out the rain.” “And yet.” “And yet.” Eva looked at her. “I didn’t know you lived here.” Rory didn’t ask whether she would have come if she had known. It hovered between them, a question made of old messages and empty years. “I thought you were in Bristol,” Rory said. “I was. I came back last week.” “Why?” “My job moved. It was that or keep commuting until I lost my mind.” She shrugged. “Not a very interesting story.” “You used to make everything a story.” “I used to make everything loud.” Rory examined her face. There were fine lines at the corners of her eyes, though she was only twenty-five. Or perhaps Rory had never noticed them before. The close crop made her look severe, but there was softness beneath it, around the mouth. A thin pale mark crossed one knuckle. “What happened to your hair?” Rory asked. Eva touched the back of her head. “I cut it.” “I can see that.” “After my mother got sick. She’d been losing hers. I thought I could stop making a thing of it.” She glanced down at her hands. “Then it grew on me. Not the hair. The shortness.” Rory absorbed that. “Is she better?” “She’s better than she was.” Eva’s thumb moved around the rim of the glass. “Some days.” They had not spoken of their mothers in years. Rory’s mother still sent her links to teaching vacancies and called London expensive. Her father left careful voicemails that sounded like legal advice, even when he meant to ask if she had eaten. “I’m sorry,” Rory said. “Thank you.” Eva looked toward the front window. “You don’t have to be sorry for everything.” “I know.” “Do you?” Rory’s mouth tightened before she could stop it. Eva saw. Of course she saw. She had always been good at noticing what Rory was trying to hide and bad at pretending not to. “How have you been?” Eva asked. “Fine.” “Rory.” “I’m alive. I have work. I have a flat. I’m fine.” Eva nodded, accepting the words without believing them. “I remember that version.” The bar seemed to go quieter around them. Behind the counter, Silas moved a bottle from one shelf to another. The soft click of glass against wood came and went. Rory folded her hands together. “I was going to call.” “I know.” “I did call. A few times.” “I know that too.” “But then you were in Bristol, and I was here, and there was always some reason—” “I was terrible at answering.” Eva’s gaze stayed on her. “I thought if you needed me, you’d say so.” Rory let out a breath that almost became a laugh. “I was terrible at saying so.” “Yeah.” The word landed between them with no blame in it, which made it worse. Rory remembered the first week in London. Eva had met her at the station with two coffees and a spare key. Rory had been carrying one suitcase, a bruised cheek, and the stubborn belief that she could leave her life behind without carrying any of it with her. Eva had taken the suitcase and said, Let’s get you somewhere safe. She had said it like it was the easiest thing in the world. For a while, Rory had let that be true. “I should have come to see you,” she said. “Maybe.” “I should have asked how you were.” “Maybe.” “I thought you had your own life. I didn’t want to be—” She stopped. “A burden?” Rory looked down at her tea. “Yes.” Eva gave a brief, humorless smile. “I was so busy being the person who rescued you that I didn’t know what to do when you didn’t need rescuing anymore.” “I still needed you.” The admission left Rory’s mouth before she could make it smaller. Eva’s face changed. It was not surprise exactly. It was the look of someone hearing, at last, the sentence they had been afraid to ask for. “I didn’t know,” she said. “I didn’t tell you.” “No.” “I thought if I let you help me, I’d owe you something I couldn’t pay back.” Eva leaned in, forearms on the table. “You never owed me.” “I know that now.” A faint line appeared between Eva’s brows. “I should have said it then.” Rory looked at her. The old Eva had never been good at apologies. She used to bring Rory contraband sweets or a stolen flower, dropping them on her desk as if tenderness were a joke. This Eva did not reach for a joke. She sat with the words between them and let them be plain. “What did you do?” Rory asked. “After Bristol?” “Worked. Took care of my mum. Got older.” Eva’s mouth tilted. “Not necessarily in that order.” “And now?” “Now I’m back. I have a job I’m not sure I like and a flat with a boiler that makes a noise like a dying cow.” She took a sip of water. “You?” “Golden Empress. I do deliveries.” “You used to say you’d never have a job where you had to be outside in the rain.” “I used to say a lot of things.” “You were going to be a barrister.” “My dad was going to be a barrister. I was just trying to be a good daughter.” “And now?” “Now I’m trying to be a person.” Eva’s smile returned, small and real. “That sounds harder.” “It is.” For a while they talked about harmless things. The city, the weather, the price of a room. Eva asked whether Rory still kept the little blue box of stones from the beach. Rory admitted she had lost it in one of her moves. Eva confessed she had kept the picture they took at sixteen, both of them sunburned and cross-eyed, though she could no longer remember whose camera it was. Each memory came with its own small correction. They had not been children in quite the way they remembered. They had already been practicing who they would become. When the door opened again, Eva glanced toward it. A man in a damp scarf stood outside, searching his phone. He looked up at the green sign and stepped in. “That’s my person,” Eva said. Rory’s chest drew tight. She hated the childishness of it, the sudden sense that someone was taking Eva away a second time. Eva stood and buttoned her coat. “I’m glad I saw you.” “Me too.” They were both careful with the words. Neither offered a promise. At the door, Eva paused. “Can I have your number?” Rory gave it to her. Eva keyed it into her phone, then showed Rory the screen. “I’ve still got the same one.” “I know.” “You do?” “I never deleted it.” Eva’s expression warmed, then faltered. The old tenderness had not vanished. It had simply learned to approach slowly. “I’ll call,” she said. Rory nearly said, Don’t say that unless you mean it. The sentence was old and worn, one she had once used to test the people who loved her. Instead she said, “I’d like that.” Eva stepped out into the rain. The man followed her, holding the door until she passed. Through the glass, Rory watched them turn toward the corner, Eva’s close-cropped head dark against the streetlights. She stayed where she was until the green reflection slid off the window and the bar returned to its usual dimness. Silas came over with the tea pot. “You want more?” Rory looked at Eva’s abandoned glass, a clear ring of water on the table. She could still hear the softer version of her friend’s voice, the way it had said Rory as though the name had waited years to be spoken aloud. “Not yet,” she said. Silas nodded and left her to it. Rory wrapped both hands around her cup. The tea had gone cold, but she drank it anyway.
created_at"2026-09-23T08:25:00.397Z" 9/23/2026, 8:25:00 AM
model"openai/gpt-6-luna-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency24401
moderation_latency(null)
generation_time62129
tokens_prompt846
tokens_completion3346
native_tokens_prompt808
native_tokens_completion4338
native_tokens_completion_images0
native_tokens_reasoning1513
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"
usage0.0022498
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790151900-IZTfKcxbmVurkbF2bvjE"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790151900-GawaH5DJNVQ9Lm04qJ1M"
upstream_id"resp_0bf6be37d23465b0016ab38cdc90d487d18e073edf4af7669e"
provider_responses
0
endpoint_id"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id"resp_0bf6be37d23465b0016ab38cdc90d487d18e073edf4af7669e"
is_byokfalse
latency824
model_permaslug"openai/gpt-6-luna-20260922"
provider_name"OpenAI"
status200
total_cost0.0022498
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
totalTags31
adverbTagCount1
adverbTags
0"Eva’s thumb moved around [around]"
dialogueSentences116
tagDensity0.267
leniency0.534
rawRatio0.032
effectiveRatio0.017
91.06% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2237
totalAiIsmAdverbs4
found
0
adverb"sharply"
count1
1
adverb"carefully"
count1
2
adverb"very"
count1
3
adverb"slowly"
count1
highlights
0"sharply"
1"carefully"
2"very"
3"slowly"
100.00% AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0"Blackwood"
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
88.82% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2237
totalAiIsms5
found
0
word"grave"
count1
1
word"familiar"
count1
2
word"flicked"
count1
3
word"tenderness"
count2
highlights
0"grave"
1"familiar"
2"flicked"
3"tenderness"
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
narrationSentences163
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount2
narrationSentences163
filterMatches
0"feel"
1"look"
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)
analyzedSentences248
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
totalWords2236
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions31
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions113
wordCount1627
uniqueNames10
maxNameDensity2.95
worstName"Rory"
maxWindowNameDensity5.5
worstWindowName"Rory"
discoveredNames
Rory48
Raven1
Nest1
London3
Cardiff2
Soho1
Eva47
Silas8
Let1
Don1
persons
0"Rory"
1"Raven"
2"Eva"
3"Silas"
4"Let"
places
0"London"
1"Cardiff"
2"Soho"
globalScore0.025
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences117
glossingSentenceCount1
matches
0"sounded like legal advice, even when he me"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount2236
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences248
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs140
mean15.97
std17.88
cv1.119
sampleLengths
075
172
222
315
461
510
65
71
846
95
101
1122
129
1360
144
1527
1619
1719
188
194
206
214
2211
2320
245
2565
2611
2743
287
292
303
3147
323
3310
343
3511
3634
3713
382
398
403
4112
423
4360
448
4523
4615
479
482
4912
98.81% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences163
matches
0"been bombed"
1"was buttoned"
2", polished"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs302
matches
0"was considering"
1"was lying"
2"was trying"
3"was taking"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences248
ratio0.004
matches
0"Rory felt the old reflex rise in her—the wish to keep Eva smiling, to perform some version of herself they both knew."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1637
adjectiveStacks1
stackExamples
0"same furious red mouth,"
adverbCount55
adverbRatio0.033598045204642636
lyAdverbCount9
lyAdverbRatio0.005497861942577886
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences248
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences248
mean9.02
std6.7
cv0.743
sampleLengths
026
123
226
324
415
55
628
78
814
93
1012
1113
1214
137
1427
1510
165
171
186
196
2034
215
221
237
2415
252
267
2713
2810
2923
3014
314
3218
339
3413
356
3615
374
385
393
404
415
421
434
447
454
4619
471
485
4924
43.95% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats15
diversityRatio0.2540322580645161
totalSentences248
uniqueOpeners63
93.90% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences142
matches
0"Then the woman looked up."
1"Then her expression gathered itself."
2"Of course she saw."
3"Instead she said,"
ratio0.028
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount35
totalSentences142
matches
0"She had come in from"
1"She had close-cropped hair, nearly"
2"Her coat was buttoned to"
3"She stood still long enough"
4"It was still Eva’s voice,"
5"They looked at each other"
6"She had imagined Eva with"
7"She had not imagined this"
8"She offered a small, cautious"
9"She remembered Eva nicking a"
10"She remembered the girl who"
11"They sat at a small"
12"It was the first lie"
13"He set them down with"
14"It reached her eyes, but"
15"She had been quick and"
16"It hovered between them, a"
17"She glanced down at her"
18"They had not spoken of"
19"Her father left careful voicemails"
ratio0.246
19.86% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount125
totalSentences142
matches
0"The rain had got into"
1"She had come in from"
2"Silas had looked up from"
3"The Raven’s Nest was quiet"
4"The green neon outside stained"
5"Rory watched it shiver on"
6"The door opened."
7"A draft moved through the"
8"The woman who came in"
9"She had close-cropped hair, nearly"
10"Her coat was buttoned to"
11"She stood still long enough"
12"Rory knew her by the"
13"The name came out too"
14"Silas glanced over from the"
15"The woman’s mouth parted, and"
16"It was still Eva’s voice,"
17"The years had taken the"
18"The stool scraped sharply over"
19"They looked at each other"
ratio0.88
35.21% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences142
matches
0"Now she sat at the"
ratio0.007
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences68
technicalSentenceCount4
matches
0"In the black-and-white photographs, men with grave faces stared out from a London that had been bombed and rebuilt and then bombed again in smaller, more intima…"
1"She stood still long enough for the door to fall shut behind her, as if she had come somewhere by mistake and was considering whether to leave."
2"She had imagined Eva with the same long hair, the same furious red mouth, the same gold hoops that swung when she laughed."
3"She used to bring Rory contraband sweets or a stolen flower, dropping them on her desk as if tenderness were a joke."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags31
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags17
fancyCount1
fancyTags
0"Silas had (have)"
dialogueSentences116
tagDensity0.147
leniency0.293
rawRatio0.059
effectiveRatio0.017
88.8536%