Run: 2026-09-23-01M37HM2QJG6C8G7605B0RX3MP

Run Details

Duration:
52.6s
Cost:
$0.030436
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
Rory had come downstairs to borrow a lemon. There were three in the bowl behind the bar, though none in her flat, and she had already put water on for tea. She meant to take one, tell Silas in the morning, and go back upstairs. But the rain had driven people in from Soho, and Silas was busy drawing a pint for a man who kept tapping his card against the counter as if it might hurry the beer. Rory waited by the end of the bar, beneath a photograph of a bridge she had never thought to ask him about. The green neon sign outside cast a thin wash of colour across the front window. Each time the door opened, rain blew over the threshold and someone complained about the weather. Rory took a lemon from the bowl. She was turning it in her hand, looking for a soft spot, when the woman beside her said, “You used to do that with oranges.” Rory looked up. Eva stood with one elbow on the bar. For a moment Rory could see the girl who had sat next to her in classrooms in Cardiff, pressing her thumb into every orange at lunch until she found one that gave. Then Eva turned fully towards her, and the resemblance became difficult work. Her hair, once long and coppery, was cut close to her head and dyed a dark brown. She wore a charcoal coat with its belt tied neatly behind her, and there were fine lines at the corners of her eyes that Rory had no right to be surprised by. “Eva?” “I wasn’t sure it was you.” Eva’s gaze dropped to the lemon. “Then you did that.” Rory set it down. “What are you doing here?” “Having a drink.” Eva glanced at the glass in front of her. It held water, half gone. “I had a meeting nearby. I saw the sign and came in out of the rain.” Silas looked over from the taps. His eyes moved from Eva to Rory and stayed on Rory a beat longer. She gave him a small nod. Whatever he made of it, he turned back to his customer. “You’re in London,” Rory said. “For tonight.” It was such an ordinary answer that Rory almost asked where Eva was staying, whether the meeting had gone well. Years ago, she would have asked everything at once. Instead she rested her palms against the edge of the bar. The wood was tacky beneath one hand. “You look different,” she said. Eva gave a short laugh. “That bad?” “No. Your hair.” “I got tired of looking after it.” Rory remembered winding that hair around Eva’s pencil during a lecture at university. She had been avoiding the notes in front of her, a page full of terms she’d chosen because her father would recognise them. Eva had left the lecture early for a shift at the cinema and later called to ask what she’d missed. Rory had read the terms aloud, making both of them laugh, and then helped Eva finish an essay over the phone. Their lives had seemed close enough to borrow from each other then. Eva tucked a hand into her coat pocket. “I wondered if you still lived here.” “Above it, yes.” “I remember you telling me about the flat.” Rory looked at her. “That was a long time ago.” “Yes.” A group squeezed past them towards a table under the old maps. Rory shifted closer to the bar to let them through. Eva moved too, and they ended up standing shoulder to shoulder, both facing the bottles lined against the mirrored wall. Silas came down to their end. “Rory. Everything all right?” “Yes.” She picked up the lemon. “I was just stealing this.” “You know where the till is.” He looked at Eva. “Can I get you anything?” Eva lifted her glass. “I’m fine, thank you.” “Silas, this is Eva. We grew up together.” “Ah.” He held out his right hand. His silver signet ring caught the light as Eva shook it. “Good to meet you.” “You too.” Rory had told Silas about Eva when she first arrived in London. He knew she was the one who had told Rory to get on a train, and the one who had answered the telephone every time Rory nearly went back. Looking at him now, Rory couldn’t tell whether he remembered. “I’ll be upstairs in a minute,” she said. Silas’s gaze flicked to the lemon. “Kettle on?” “It was.” He went to serve someone else. Rory placed the lemon beside Eva’s water. She could make tea later. “How long has it been?” Eva asked. “Six years since we’ve seen each other.” Rory did not have to count. “Nearly four since we spoke.” Eva ran a finger around the rim of her glass. “I wasn’t going to bring that up straightaway.” “Why not?” “Because I’d only just found you.” Rory looked towards the front window. Beyond the green reflection, people crossed the street under umbrellas, their shoes breaking the shine of the pavement. She had spent the first months in London listening for footsteps on the stairs outside her flat. When the phone rang, she let it ring until it stopped, even when she knew the number. Eva’s calls had become less frequent. Rory had understood why at the time, or told herself she did. “I should have answered you,” she said. “You answered sometimes.” “Not at the end.” Eva took a drink of water. “I was angry with you.” “I know.” “I thought you’d gone back to him.” “I hadn’t.” “I know that now.” Eva set the glass down too hard, and a little water jumped onto the bar. She caught it with her sleeve. “I didn’t know then. I called the restaurant because your mobile was off. The woman who answered said you were out on deliveries. I didn’t want to ask her anything else.” “Yu-Fei would have told me you called.” “She did. You still didn’t ring.” Rory folded her arms, then unfolded them. The crescent scar on her left wrist showed below her sleeve. She pulled the cuff down, annoyed with herself for doing it. “You were the only person who knew everything,” she said. “I couldn’t talk to you without talking about him.” “You could have talked about what you’d had for breakfast.” “I know. I know that now.” Eva watched her. She had always been patient when Rory struggled to say what she meant, though patience had once made Rory push harder against her. “You were frightened,” Eva said. “Yes. And I was ashamed that you knew.” “I never wanted that.” “I know.” The man with the pint was telling Silas an elaborate story about a lost umbrella. Silas listened while he wiped a spill from the counter. At the far end of the bar, someone laughed loudly enough to make the man pause. Rory felt a brief, unreasonable gratitude for the noise. She and Eva could stand close together and say things neither of them could have managed in a quiet room. “You could have been angry,” Rory said. “You’d paid for the ticket. You came to the station.” “Of course I came.” “I was awful to you on the platform.” Eva looked down at her hands. “You were trying to get on a train.” Rory remembered a vending machine that ate Eva’s coins, the departure board changing while they watched, Eva offering to call Brendan and Jennifer when Rory reached London. Rory had snapped that she would handle her own parents. Eva had stepped back. Later, through the train window, Rory had seen her standing where Rory had left her, one hand raised without quite waving. “I wanted you to come after me,” Rory said. “Once I was here. Then every time you tried, I made it impossible.” “That sounds like you,” Eva said, and smiled a little. Rory smiled back before she could stop herself. Then she saw how carefully Eva held the smile, as though either of them might ask it to do too much. “Are you still in Cardiff?” Rory asked. “No. Bristol. I moved three years ago.” “What do you do there?” “I work at a hospice. Administration, mostly. Rosters, referrals, chasing people for forms.” Eva looked towards the crowded room. “I spend a lot of time trying to make sure someone gets the right chair when their family visits.” Rory pictured Eva at a desk with a telephone tucked against her ear, moving names around on a list until there was space for one more person. “You’d be good at that.” “Some days.” Eva gave her a sidelong look. “You still deliver food?” “Four days a week. Sometimes five.” “And the other days?” Rory thought of the books stacked on her table upstairs, the applications she had started and not sent, the hours she spent helping Silas sort invoices when his knee troubled him. “They go quickly.” Eva nodded, but Rory could see she was waiting. “I meant to finish my degree,” Rory said. “When I got here. I kept thinking I’d settle down and go back to it.” “Do you want to?” “I don’t know.” It was the first time she had said so without trying to turn it into a plan. Eva took that in, then glanced at the photograph above them. “Your dad must have asked,” she said. “He still sends me articles about Cardiff’s law courses. Mum asks whether I’m eating properly. They’re both being kind.” “They miss you.” “I visit.” “I know.” Eva hesitated. “I’ve seen your mother once or twice. At the market.” Rory could imagine Jennifer standing by a vegetable stall, talking to Eva about the weather while both of them thought of her. The thought made her turn the lemon beneath her palm again. “How is she?” Rory asked. “Your mother? Good, I think. She said she’d taken a pottery class. She showed me a picture of a bowl.” “She made me two. Neither sits flat.” Eva laughed. This time it came easily. Rory heard the girl she remembered in it and had to look away. Silas passed behind them carrying a crate of clean glasses. He favoured his left leg after a long evening, though his pace did not slow. He caught Rory watching and raised his brows. She shook her head. He took the crate through the door at the back. Eva followed her gaze. “He looks after you.” “We look after each other.” “That’s good.” Rory wanted to tell her about the first winter in the flat, when Silas had noticed she kept buying bread but nothing to put on it. He had begun leaving soup downstairs at closing time, always too much for himself, he said. She wanted to tell Eva that Yu-Fei still sent her out with an extra carton when she knew Rory had missed lunch. There had been good days in these years, and people who knew her on them. Eva had not been there because Rory had stopped letting her in. “I’m sorry,” Rory said. Eva leaned an elbow on the counter. “For not calling?” “For letting you think you’d failed me.” Eva’s face changed. She turned towards her glass and held it with both hands. “I did think that.” “You got me here.” “I know. I can look at it sensibly most of the time.” She drew a breath. “But when you stopped answering, I went over everything I’d said. I wondered if I’d pushed you too hard, or if I’d made you feel you owed me.” “You didn’t.” “I’m glad.” Eva pressed her lips together. “I wish I’d known sooner.” Rory nodded. She could offer an explanation for every unanswered call. None would give Eva back the years she had spent wondering. They stood without speaking while Silas returned from the back and the rain eased against the window. At last Eva checked the time on her phone. “I need to get to the station.” “Already?” “My train’s at ten.” Rory looked at the clock behind the bar. There was time, if Eva left soon. She found herself wanting to ask her to miss it, to stay upstairs and drink the tea Rory had meant to make. She knew almost nothing about Eva’s life now beyond where she worked. There was so much to ask that the twenty minutes left to them felt unusable. “I could walk you out,” Rory said. Eva nodded. Rory put money beside the lemon bowl. Silas saw it and shook his head, but she left it there. At the door, Eva stopped to fasten her coat. Rory held it open, and the damp air touched her face. The street was bright after the bar, headlights passing over wet brick and the feet of people hurrying home. “Would you want to have coffee sometime?” Eva asked. “I come to London for work every few months.” “Yes.” Rory took out her phone. “Can I have your number?” Eva recited it while Rory entered it. When Rory sent a message, Eva’s phone lit up in her hand. For a second they both looked at the screen. “There,” Rory said. “I’ve got you.” A taxi slowed near the kerb, hoping for a fare. Eva stepped aside to let it pass. Rory thought of the station in Cardiff and the train window between them, how young Eva had looked as it pulled away. She knew Eva must remember a different Rory standing on the other side of that glass. “Text me when you get back,” Rory said. “If you like.” “I will.” Eva put her phone away and touched Rory’s arm, briefly, above the wrist. Then she started down the street towards the station. Rory watched until Eva reached the corner and turned. Inside, someone was asking Silas about the photographs on the wall. Rory went back to the bar and picked up the lemon. Its skin had warmed in her hand. Upstairs, the kettle would be cold, and she would have to fill it again.
created_at"2026-09-23T16:29:45.594Z" 9/23/2026, 4:29:45 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2577
moderation_latency(null)
generation_time52553
tokens_prompt846
tokens_completion3444
native_tokens_prompt808
native_tokens_completion2882
native_tokens_completion_images0
native_tokens_reasoning0
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"
usage0.030436
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790180985-4wPs42W6QaT9YNfEarCn"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790180985-vBU8nIvyzwVwqNjyH0oR"
upstream_id"resp_0b6e3452c244d5dc016ab3fe79b53087d19a5975212849a174"
provider_responses
0
endpoint_id"1cfc7d9d-4404-4b8e-9ee4-58ae45c9dcd4"
id"resp_0b6e3452c244d5dc016ab3fe79b53087d19a5975212849a174"
is_byokfalse
latency877
model_permaslug"openai/gpt-6-sol-20260922"
provider_name"OpenAI"
status200
total_cost0.030436
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
totalTags33
adverbTagCount0
adverbTags(empty)
dialogueSentences114
tagDensity0.289
leniency0.579
rawRatio0
effectiveRatio0
95.73% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2340
totalAiIsmAdverbs2
found
0
adverb"carefully"
count1
1
adverb"quickly"
count1
highlights
0"carefully"
1"quickly"
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)
95.73% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2340
totalAiIsms2
found
0
word"flicked"
count1
1
word"footsteps"
count1
highlights
0"flicked"
1"footsteps"
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
narrationSentences158
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences158
filterMatches
0"look"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences239
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
totalWords2340
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions30
unquotedAttributions1
matches
0"He had begun leaving soup downstairs at closing time, always too much for himself, he said."
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions147
wordCount1679
uniqueNames9
maxNameDensity3.81
worstName"Rory"
maxWindowNameDensity6.5
worstWindowName"Rory"
discoveredNames
Silas14
Soho1
Rory64
Cardiff2
Eva59
London3
Brendan1
Jennifer2
Yu-Fei1
persons
0"Silas"
1"Rory"
2"Eva"
3"Brendan"
4"Jennifer"
5"Yu-Fei"
places
0"Soho"
1"Cardiff"
2"London"
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences118
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount2340
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount3
totalSentences239
matches
0"winding that hair"
1"snapped that she"
2"ask that the"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs126
mean18.57
std21.32
cv1.148
sampleLengths
08
193
231
332
43
5101
61
716
89
933
1037
115
122
1347
145
157
163
177
1889
1915
203
218
2210
231
2442
2510
2611
2715
288
298
3022
312
3251
338
348
352
3618
377
3818
3918
402
416
4276
437
443
454
4611
472
487
492
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences158
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs323
matches
0"was turning"
1"was staying"
2"was waiting"
3"was asking"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences239
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1680
adjectiveStacks0
stackExamples(empty)
adverbCount49
adverbRatio0.029166666666666667
lyAdverbCount8
lyAdverbRatio0.004761904761904762
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences239
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences239
mean9.79
std6.85
cv0.699
sampleLengths
08
123
214
334
422
515
616
77
825
93
108
1132
1212
1317
1432
151
1612
174
184
195
2012
215
2216
236
2414
256
2611
275
282
2920
309
3111
327
335
345
352
363
377
3813
3923
4020
4121
4212
438
447
453
468
474
486
491
44.14% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.26359832635983266
totalSentences239
uniqueOpeners63
98.04% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences136
matches
0"Then Eva turned fully towards"
1"Instead she rested her palms"
2"Then she saw how carefully"
3"Then she started down the"
ratio0.029
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount37
totalSentences136
matches
0"She meant to take one,"
1"She was turning it in"
2"Her hair, once long and"
3"She wore a charcoal coat"
4"It held water, half gone."
5"His eyes moved from Eva"
6"She gave him a small"
7"It was such an ordinary"
8"She had been avoiding the"
9"Their lives had seemed close"
10"She picked up the lemon"
11"He looked at Eva"
12"He held out his right"
13"His silver signet ring caught"
14"He knew she was the"
15"He went to serve someone"
16"She could make tea later."
17"She had spent the first"
18"She caught it with her"
19"She pulled the cuff down,"
ratio0.272
33.53% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount116
totalSentences136
matches
0"Rory had come downstairs to"
1"She meant to take one,"
2"Rory waited by the end"
3"The green neon sign outside"
4"Each time the door opened,"
5"Rory took a lemon from"
6"She was turning it in"
7"Rory looked up."
8"Eva stood with one elbow"
9"Her hair, once long and"
10"She wore a charcoal coat"
11"Eva’s gaze dropped to the"
12"Rory set it down."
13"Eva glanced at the glass"
14"It held water, half gone."
15"Silas looked over from the"
16"His eyes moved from Eva"
17"She gave him a small"
18"Whatever he made of it,"
19"It was such an ordinary"
ratio0.853
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences136
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences74
technicalSentenceCount2
matches
0"For a moment Rory could see the girl who had sat next to her in classrooms in Cardiff, pressing her thumb into every orange at lunch until she found one that ga…"
1"Rory remembered a vending machine that ate Eva’s coins, the departure board changing while they watched, Eva offering to call Brendan and Jennifer when Rory rea…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags33
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags20
fancyCount1
fancyTags
0"Eva pressed (press)"
dialogueSentences114
tagDensity0.175
leniency0.351
rawRatio0.05
effectiveRatio0.018
88.9055%