Run: 2026-09-23-01M37HH75N24EHCW8S1KHB6MS7

Run Details

Duration:
1m 31s
Cost:
$0.043846
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 knew the woman at the end of the bar by the way she folded a paper napkin. She had her back to the door. Her dark coat was damp at the shoulders, and a short, tidy haircut exposed the nape of her neck. None of that was familiar. But she pressed each crease flat with the side of her thumb, then turned the napkin and folded it again. At fourteen, Eva had made paper boats out of every receipt her mother left on the kitchen table. Rory stopped beneath the green neon sign, halfway through pulling off her gloves. Rain slipped from the delivery bag on her shoulder and darkened the floorboards. Silas looked up from behind the bar. His gaze went from Rory to the woman on the stool and back. He set down the glass he was polishing. “Rory?” the woman said. Eva’s face was thinner than Rory remembered. The freckles were still there, though, and so was the small nick in her eyebrow from the time they’d tried to climb through the window of a locked swimming pool. She wore a charcoal suit beneath her coat. There was no ring on her fingers, no colour on her nails. Rory had imagined meeting her often enough to have grown tired of the imaginary conversations. Now she could think only of the rain dripping off her bag. “Hi, Eva.” “I didn’t know you worked here.” “I don’t.” Rory shifted the bag higher. “I live upstairs.” Eva glanced at the ceiling, as if the flat might show through it. “Oh.” Silas came out from behind the bar to take Rory’s bag. He favoured his left leg, more noticeably at the end of a long evening. His silver signet ring flashed as he caught the strap. “You can leave it in the office,” he said. “I’ll do it.” “Floor’s wet enough already.” He took the bag without waiting for an answer. Rory watched him carry it towards the back of the bar, past the old maps and the shelf of battered books. When she turned back, Eva had unfolded the napkin. Four white squares lay open beneath her hand. “You’re still in London,” Eva said. “So are you.” “I’ve just moved back. My train was early, and I was walking until the rain let up.” She looked towards the front windows. “I saw the sign.” Outside, the green raven trembled in the reflection of a passing taxi. Rory had lived above it for two years. She had never considered what it might look like to someone searching for somewhere to get dry. Silas returned and lifted a clean glass from the rack. “Another ginger beer?” “Please,” Eva said. There had been a time when Eva would have ordered whatever looked strongest and complained that a single measure was an insult. She used to sing on the night bus, badly and at full volume, until Rory hid her face against the window. Eva’s voice now scarcely carried past the bottles. Rory took the stool beside her, leaving one between them. “You look different.” Eva gave a brief smile. “You don’t.” Rory knew that wasn’t true. She tucked her left hand under the bar, the little crescent scar at her wrist pale against her skin. She had cut it falling through a greenhouse pane at eleven; Eva had held a towel around it all the way to the hospital and cried harder than Rory had. “Sorry,” Eva said. “That came out wrong.” “It’s all right.” Silas set down the ginger beer and a glass of tap water for Rory. She hadn’t asked for one. He went to the other end of the bar to attend to a man with a newspaper, leaving them beneath a black-and-white photograph of a street neither of them recognised. “How long has it been?” Eva asked. “Since we saw each other? Four years. Nearly five.” Eva nodded. “Your dad’s birthday party.” Rory remembered that party: Brendan Carter holding court in the kitchen, Eva dancing with Jennifer after too much wine, Rory already afraid to check the messages on her phone. She hadn’t known how frightened she looked until she caught Eva watching her across the room. “You called later,” Rory said. “I did.” It had been Eva who told her to come to London. She’d made it sound simple from the other end of the phone: get the coach, bring your passport, leave the books. Rory had packed a rucksack while Evan was at work and sat with it in the station toilets for forty minutes, waiting to be sure he hadn’t followed her. She took a sip of water. “You said I could stay with you.” “I know.” “But when I got here, I couldn’t reach you.” Eva kept her eyes on the open napkin. “I saw your calls the next morning.” Rory had wanted to hear that for years. It was worse than she’d expected. “I waited at Victoria until they closed the café,” she said. “I kept thinking your phone was dead.” “I’m sorry.” “You texted at eleven the next day.” “I know what I did.” A glass struck the bar farther down, and Silas murmured something to the man with the newspaper. Rory put her hand around her water glass. For a moment she was back under the station’s bright lights with her rucksack between her feet, watching each face that came through the doors. She had been afraid Eva wouldn’t arrive. She had been afraid Evan would. “Where were you?” she asked. “At home.” Rory turned to look at her. Eva’s cheeks coloured. “I’d been drinking. I started before I was meant to leave. Then I kept thinking I could still get up and go, and by the time I tried to stand—” She stopped. “I stayed on the floor until morning.” Rory had prepared herself for an explanation involving someone else. An accident, a family emergency, a phone stolen on the Tube. She had not prepared for Eva at home, only a few miles away. “You could have told me.” “Yes.” “I might have called someone else.” “Yes,” Eva said again. Her voice held steady, but her hands were gripping the edge of the napkin. “I was ashamed. Then every hour I left it, it got harder to say. I kept trying to write you a message that would make it better.” “You sent, ‘Hope you found somewhere.’” “I remember.” Rory looked away. Silas had found her somewhere. She’d come into the Nest the following afternoon to ask if he knew of any rooms to let. She could barely afford a drink and had ordered tea so she could sit down. He’d brought her a sandwich she hadn’t asked for. He had never pressed her to explain the suitcase or the way she’d flinched when the door opened. “I found Silas,” she said. “Eventually.” Eva glanced towards him. “I’m glad.” Rory almost asked whether she had wondered what happened in the hours before that. She suspected Eva had wondered plenty. It hadn’t brought her to Victoria. They sat without speaking while the rain thickened against the windows. Rory could hear a bus easing through the junction outside. “I stopped drinking,” Eva said at last. “Two years and eight months ago.” Rory looked at the ginger beer. “Is that why you look so serious?” “That, and the haircut.” Eva touched the back of her head. “I work for the railway now. In a signalling centre. They like you to mean what you say.” Rory tried to picture her there, among screens and timetables. She could. That startled her most. Eva had once announced she would never have a job that required her to be anywhere before noon. Now she sat with both feet planted on the floor, an hour after she could easily have gone home, answering a question she had spent years avoiding. “Do you like it?” Rory asked. “Most days. I’m good at it.” “You always knew how to read a map.” “Not a useful qualification for signalling, apparently.” Rory smiled before she could stop herself. Eva saw it and smiled too, then let her hand fall from her hair. “What about you?” she asked. “Are you still doing law?” “No. I deliver for a restaurant. The Golden Empress, over on Wardour Street.” “I thought you wanted to finish your degree.” “I thought so too.” Rory ran a finger through the condensation on her glass. “I might go back. I haven’t decided.” Eva waited. She didn’t say Rory would be good at it, or that her father would be pleased. Five years ago she would have said both, determined to cheer Rory up, and Rory would have resented her for it. “I’m glad I came here,” Rory said. “Even with that first night.” “I hoped you were.” Eva folded the napkin once along its old crease. “After you stopped replying, I asked your mum once. She said you were safe. She wouldn’t give me your number.” “She asked me first.” “Good.” Rory remembered Jennifer standing in the narrow kitchen of the flat upstairs, phone in hand, waiting while Rory decided. At the time, she couldn’t bear to hear Eva apologise. Later, she couldn’t work out how to ask her to. “You could have come looking,” Rory said. “I could have.” Eva didn’t add anything. Rory was grateful for that, though she still felt the old anger sitting between them. Silas came past to collect the empty ginger-beer bottle. Eva thanked him. He gave Rory a glance, checking whether she needed anything, then carried the bottle away. “I have to get up early,” Eva said. “First shift at the new centre.” “All right.” Eva reached into her coat and took out her phone. “Could I give you my number? You don’t have to use it.” Rory read the number from Eva’s screen and put it into her own phone. She stopped before saving the contact. The old entry was still there, an unfamiliar number beneath Eva’s name. For years Rory had carried it from one phone to the next without calling it. She deleted the old number and saved the new one. “There,” she said. Eva’s phone lit up a moment later. She looked at Rory’s name on the screen but didn’t put the phone away. “I can walk with you to the station,” Rory said. “I need some air.” “You’ve just come in.” “My shift ended an hour ago. Silas can keep the bag.” They rose. Rory went to the hook by the door for her coat, and Eva waited while she put it on. Outside, the rain had eased to a fine mist. The street smelled of wet pavement and food from the kitchens closing nearby. For the first half a block they walked in silence. Eva shortened her stride for Rory without seeming to notice she’d done it, just as she had on the walk to school when Rory was eleven and her wrist was bandaged. Rory slipped her hands into her pockets and kept pace beside her.
created_at"2026-09-23T16:28:11.837Z" 9/23/2026, 4:28:11 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency44538
moderation_latency(null)
generation_time90592
tokens_prompt846
tokens_completion2726
native_tokens_prompt808
native_tokens_completion4223
native_tokens_completion_images0
native_tokens_reasoning1945
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"
usage0.043846
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790180891-oZ4CUloqYFjYJR9s0Kev"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790180891-MyQj1bQxZU2ANS36lFgL"
upstream_id"resp_000761f33236b1e8016ab3fe1bf61087d190dcbf3980d366a3"
provider_responses
0
endpoint_id"1cfc7d9d-4404-4b8e-9ee4-58ae45c9dcd4"
id"resp_000761f33236b1e8016ab3fe1bf61087d190dcbf3980d366a3"
is_byokfalse
latency840
model_permaslug"openai/gpt-6-sol-20260922"
provider_name"OpenAI"
status200
total_cost0.043846
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
totalTags25
adverbTagCount1
adverbTags
0"Eva said again [again]"
dialogueSentences80
tagDensity0.313
leniency0.625
rawRatio0.04
effectiveRatio0.025
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1840
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
83.70% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1840
totalAiIsms6
found
0
word"familiar"
count1
1
word"eyebrow"
count1
2
word"trembled"
count1
3
word"dancing"
count1
4
word"determined"
count1
5
word"silence"
count1
highlights
0"familiar"
1"eyebrow"
2"trembled"
3"dancing"
4"determined"
5"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
emotionTells1
narrationSentences132
matches
0"was grateful"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount3
narrationSentences132
filterMatches(empty)
hedgeMatches
0"tried to"
1"tend to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences187
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1840
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
totalMentions103
wordCount1388
uniqueNames11
maxNameDensity3.39
worstName"Rory"
maxWindowNameDensity6.5
worstWindowName"Rory"
discoveredNames
Eva39
Rory47
Silas7
Brendan1
Carter1
Jennifer2
London1
Evan2
Tube1
Nest1
Victoria1
persons
0"Eva"
1"Rory"
2"Silas"
3"Brendan"
4"Carter"
5"Jennifer"
6"Evan"
places
0"London"
1"Nest"
2"Victoria"
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences96
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1840
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences187
matches
0"complained that a"
1"remembered that party"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs97
mean18.97
std18.2
cv0.959
sampleLengths
018
169
226
328
44
557
627
72
86
910
1014
1135
129
133
144
1547
166
173
1827
1937
2013
213
2251
2313
247
2554
267
273
2849
297
309
316
3245
335
342
3561
3613
372
389
3915
4014
4118
422
437
445
4563
465
472
486
4942
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences132
matches
0"was bandaged"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs259
matches
0"was polishing"
1"were gripping"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences187
ratio0.005
matches
0"She had cut it falling through a greenhouse pane at eleven; Eva had held a towel around it all the way to the hospital and cried harder than Rory had."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1391
adjectiveStacks0
stackExamples(empty)
adverbCount32
adverbRatio0.023005032350826744
lyAdverbCount8
lyAdverbRatio0.005751258087706686
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences187
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences187
mean9.84
std6.9
cv0.701
sampleLengths
018
17
219
35
420
518
613
713
87
913
108
114
127
1330
148
1512
1615
1712
182
196
207
213
2213
231
2411
2514
2610
279
283
294
309
3121
329
338
346
353
3623
374
3812
398
4017
4110
423
433
4422
4521
468
4710
483
495
43.05% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.29411764705882354
totalSentences187
uniqueOpeners55
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences111
matches(empty)
ratio0
90.27% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount36
totalSentences111
matches
0"She had her back to"
1"Her dark coat was damp"
2"His gaze went from Rory"
3"He set down the glass"
4"She wore a charcoal suit"
5"He favoured his left leg,"
6"His silver signet ring flashed"
7"He took the bag without"
8"She looked towards the front"
9"She had never considered what"
10"She used to sing on"
11"She tucked her left hand"
12"She had cut it falling"
13"She hadn’t asked for one."
14"He went to the other"
15"She hadn’t known how frightened"
16"It had been Eva who"
17"She’d made it sound simple"
18"She took a sip of"
19"It was worse than she’d"
ratio0.324
27.57% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount96
totalSentences111
matches
0"Rory knew the woman at"
1"She had her back to"
2"Her dark coat was damp"
3"None of that was familiar."
4"Rory stopped beneath the green"
5"Rain slipped from the delivery"
6"Silas looked up from behind"
7"His gaze went from Rory"
8"He set down the glass"
9"the woman said"
10"Eva’s face was thinner than"
11"The freckles were still there,"
12"She wore a charcoal suit"
13"Rory had imagined meeting her"
14"Rory shifted the bag higher"
15"Eva glanced at the ceiling,"
16"Silas came out from behind"
17"He favoured his left leg,"
18"His silver signet ring flashed"
19"He took the bag without"
ratio0.865
90.09% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences111
matches
0"Now she could think only"
1"Now she sat with both"
ratio0.018
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences66
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags25
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags19
fancyCount0
fancyTags(empty)
dialogueSentences80
tagDensity0.238
leniency0.475
rawRatio0
effectiveRatio0
87.8224%