Run: 2026-09-23-01M37J2X38VJGVDWPB9G3TD9FK

Run Details

Duration:
1m 5s
Cost:
$0.034046
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 came into the Raven’s Nest with rain in her hair and a paper bag of noodles hooked over two fingers. Silas had forgotten to eat again. She set the bag at his end of the bar, where he stood polishing a glass he had already polished, and pulled off her wet jacket. “Yu-Fei says if you send back the containers unwashed one more time, she’ll stop feeding you.” “She said that last week.” “She meant it this week.” Silas’s silver signet ring tapped the rim as he put the glass down. Beyond him, the old maps on the wall shone faintly under the lamps. Rory had been looking at those maps for nearly four years, long enough to stop seeing the cities marked on them and see instead the places where the paper had buckled. Then someone at the far end of the bar said, “Rory?” For a second she couldn’t place the voice. The woman sitting beneath a black-and-white photograph had short dark hair and a face made sharper by its absence. Her coat lay folded on the stool beside her. A glass of water stood in front of her, with a lime wedge balanced on its rim. The woman smiled uncertainly. Rory knew her then. “Eva.” She had imagined this meeting often enough to have ruined every possible version of it. In some, Eva threw her arms around her. In others, Rory had the sense to keep walking. None had Silas opening a bag of noodles between them or rain dripping from the end of Rory’s sleeve onto the floor. Eva got off her stool. She was still a little taller than Rory, though she no longer seemed to take up all the space around her. They hugged awkwardly, shoulders touching first. Eva’s coat smelled of rain and laundry soap. “You’re here,” Eva said. “I live upstairs.” Eva glanced toward the ceiling as if the flat might be visible through it. “Of course you do.” “You didn’t know?” “No.” Rory looked at the glass of water. Eva saw her look and pushed the lime into it with one finger. “Two years,” she said. “Next month.” Rory hadn’t asked. She wanted to say she’d known Eva had been drinking too much, but the thought came with a row of bright, accusing memories: Eva dancing with a bottle in her hand at a Cardiff house party; Eva arriving in London with wine to celebrate Rory’s first room; Eva laughing as she dropped her keys three times outside a taxi. Rory had laughed too. “That’s good,” she said. “Two years is good.” “It is.” Eva sat down again. “Silas says you get off work at ten.” Rory turned. Silas lifted the takeaway bag. “I said you generally do.” “So you were looking for me?” “I came in out of the rain. He asked if I knew you when I said your name.” Rory took the stool beside her. Silas carried his dinner toward the back of the bar, his left leg trailing by that slight, familiar measure. He did not look over his shoulder. He rarely did when it mattered. Through the window, the green neon sign laid a wavering stripe across the wet pavement. Someone passed under it holding a newspaper over their head. “I almost didn’t recognize you,” Rory said. “I know. It was getting caught in everything.” Eva ran a hand over her cropped hair. “I cut it myself the first time. Looked like I’d done it during a fire.” “You were always telling me you’d shave it.” “I was always telling you a lot of things.” There had been an Eva who could talk their way into the back row of a sold-out cinema, who knew which Cardiff bus drivers would wait if they saw her running. At seventeen she had once persuaded a man to unlock the gates of a closed park because Rory wanted to see the ducks in the dark. The ducks had been asleep. Eva had considered waking them, then let them be. “I thought you’d moved away,” Rory said. “I did. Bristol for a while. I’ve been back since January.” “It’s March.” Eva turned the glass between her palms. “I know.” Rory touched the pale crescent on her left wrist. The skin was smooth there now, but the shape remained. “I should have called you,” she said. “You could have.” “I didn’t know where you were.” “You had my number.” Eva’s tone was quiet. That made it harder to defend herself against. Rory remembered the last voicemail. It had come at half past two in the morning, while she lay awake in the flat upstairs listening to the bar empty below. Eva had asked her to call the next day. Her voice was slow and carefully cheerful. Rory had put the phone facedown and decided she would answer when she had something useful to say. In the morning she had gone to work. A week later the number had been disconnected. “I heard your message,” Rory said. Eva looked down at the water. “I thought you might have.” “I kept meaning to call.” “I know.” “No, you don’t.” Rory stopped. She heard the old edge in her voice and hated it. “Sorry.” Silas came out from the back carrying two clean cups. He filled the kettle under the counter without speaking. Rory watched his hands because she couldn’t bear to watch Eva’s. “When I first came here,” she said, “I was frightened all the time. After Evan, I mean. I’d get home and check the windows, then check them again. You’d call, and I knew you’d hear it in my voice.” Eva’s expression shifted, but she waited. “You were the one who got me out. I thought I’d have to explain why I was still like that when I was safe.” “You didn’t have to explain it to me.” “I know that now.” Silas set a cup of tea in front of Rory. Eva shook her head when he offered her one. He took the kettle away, leaving them beneath the photograph and the quiet hum of the refrigerators. Rory put her hands around the cup. “That night you came to Cardiff. I remember standing outside the station with my bag, thinking you’d see me and realize I’d made the whole thing worse than it was.” “I saw you.” “I know. You took the bag.” “It was heavy.” “It had books in it.” “It had a kettle in it.” Rory laughed despite herself. The kettle had been broken, and she had brought it anyway. She could still picture Eva dragging the suitcase through the station, its bad wheel clattering over the tiles. Eva had not asked Rory to account for anything she had packed. “I was glad you came,” Rory said. “I was glad I did.” For a while they listened to the rain against the window. The tea was too hot to drink. Rory had an absurd urge to ask Eva whether she still hated mushrooms, whether her father had finally sold the little red car, whether she remembered the ducks. Years of ordinary questions crowded behind the one they had not finished. Eva drew her glass closer. “When I left that message, I wasn’t calling to check on you.” Rory nodded. “I know that now too.” “I don’t think you could have done much. I just wanted to hear you.” “I could have called.” “Yes,” Eva said. “You could have.” Rory lifted the cup and burned her lip. She put it down. Across the bar, Silas had found a corner for his noodles. He ate standing up, studying a map of a city he already knew by heart. “I didn’t know how bad it had got,” Rory said. “I didn’t either, for a long time.” Eva pulled the lime from her glass and set it on a napkin. “I kept thinking I’d stop once things settled down. I said it so often it sounded like a plan.” “What happened?” “A few things.” Eva rubbed a wet thumb against the napkin. “My sister drove down from Swansea. I went with her. I hated her for about six months.” “And now?” “Now I go there for Sunday lunch.” Rory tried to picture Eva sitting politely at her sister’s table. It took an effort. Perhaps that was unfair. Eva had always sat down to meals; Rory had simply remembered the parts of her that moved. “I’m glad she came,” Rory said. “Me too.” Eva looked at her. “I was angry with you.” “You had reason.” “I was angry with everyone. But yes, I was angry with you.” She folded the damp napkin once. “I’m not asking you to make it up to me.” Rory thought of how neatly she might have accepted that once, thanked Eva for letting her go. Instead she saw the missed call glowing on her phone beside the bed. She had wanted a day in which she was no longer afraid. Eva had needed her on that particular night. Both things had been true. “What do you want?” Rory asked. “I don’t know yet.” Outside, the rain began to ease. A man paused beneath the green sign to close his umbrella, shook the water from it, and went on. Rory finally drank her tea. It was strong, just as Silas always made it for her. “You can have Sunday lunch with me sometime,” she said. “Though I usually work Sundays.” Eva smiled. “That sounds difficult.” “I’m off Tuesday.” “I work Tuesdays.” “Dinner, then.” Eva glanced at the empty water glass. “Dinner would be nice.” They took out their phones. Rory entered Eva’s number, checked it once, and sent a message while Eva watched. Eva’s phone lit up on the bar between them. She turned it over to read it, then put it back down without replying. “I’ve got it,” she said. Rory slipped her phone into her pocket. They stayed where they were a little longer, while the street outside filled with people who had waited for the rain to pass.
created_at"2026-09-23T16:37:51.343Z" 9/23/2026, 4:37:51 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency26721
moderation_latency(null)
generation_time64574
tokens_prompt846
tokens_completion2455
native_tokens_prompt808
native_tokens_completion3243
native_tokens_completion_images0
native_tokens_reasoning1181
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"
usage0.034046
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790181471-bICez6Vank316e7rI6nv"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790181471-rrxaPyUvQZuOhtiwafxd"
upstream_id"resp_027918876166799f016ab4005f8f2087d180b5152bd7914c5e"
provider_responses
0
endpoint_id"1cfc7d9d-4404-4b8e-9ee4-58ae45c9dcd4"
id"resp_027918876166799f016ab4005f8f2087d180b5152bd7914c5e"
is_byokfalse
latency868
model_permaslug"openai/gpt-6-sol-20260922"
provider_name"OpenAI"
status200
total_cost0.034046
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
totalTags23
adverbTagCount0
adverbTags(empty)
dialogueSentences80
tagDensity0.288
leniency0.575
rawRatio0
effectiveRatio0
97.01% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1673
totalAiIsmAdverbs1
found
0
adverb"carefully"
count1
highlights
0"carefully"
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)
91.03% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1673
totalAiIsms3
found
0
word"dancing"
count1
1
word"familiar"
count1
2
word"wavering"
count1
highlights
0"dancing"
1"familiar"
2"wavering"
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
narrationSentences118
matches(empty)
94.43% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount3
narrationSentences118
filterMatches
0"look"
hedgeMatches
0"seemed to"
1"tried to"
2"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences175
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen59
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1673
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
totalMentions90
wordCount1165
uniqueNames7
maxNameDensity3.26
worstName"Eva"
maxWindowNameDensity6
worstWindowName"Eva"
discoveredNames
Raven1
Nest1
Eva38
Rory38
Silas9
Cardiff2
London1
persons
0"Eva"
1"Rory"
2"Silas"
places
0"Raven"
1"Cardiff"
2"London"
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences80
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1673
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences175
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs94
mean17.8
std18.15
cv1.02
sampleLengths
053
116
25
35
457
511
653
78
81
954
1040
114
123
1318
143
151
1620
176
1866
198
2014
2112
226
2318
2438
2525
267
2731
288
299
3071
317
3211
332
349
3519
367
373
386
394
4075
4116
426
4311
445
452
4617
4730
4839
496
99.32% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences118
matches
0"been disconnected"
1"been broken"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs215
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount3
flaggedSentences2
totalSentences175
ratio0.011
matches
0"She wanted to say she’d known Eva had been drinking too much, but the thought came with a row of bright, accusing memories: Eva dancing with a bottle in her hand at a Cardiff house party; Eva arriving in London with wine to celebrate Rory’s first room; Eva laughing as she dropped her keys three times outside a taxi."
1"Eva had always sat down to meals; Rory had simply remembered the parts of her that moved."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1168
adjectiveStacks0
stackExamples(empty)
adverbCount44
adverbRatio0.03767123287671233
lyAdverbCount11
lyAdverbRatio0.009417808219178082
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences175
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences175
mean9.56
std7.76
cv0.812
sampleLengths
021
16
226
316
45
55
613
713
831
911
108
1119
129
1317
144
154
161
1715
188
199
2022
215
2221
236
248
254
263
2714
284
293
301
317
3213
334
342
353
3659
374
384
394
406
418
422
435
445
456
4618
476
4819
497
39.14% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats19
diversityRatio0.25142857142857145
totalSentences175
uniqueOpeners44
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences99
matches
0"Then someone at the far"
1"Perhaps that was unfair."
2"Instead she saw the missed"
ratio0.03
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences99
matches
0"She set the bag at"
1"Her coat lay folded on"
2"She had imagined this meeting"
3"She was still a little"
4"They hugged awkwardly, shoulders touching"
5"She wanted to say she’d"
6"He did not look over"
7"He rarely did when it"
8"It had come at half"
9"Her voice was slow and"
10"She heard the old edge"
11"He filled the kettle under"
12"He took the kettle away,"
13"She could still picture Eva"
14"She put it down."
15"He ate standing up, studying"
16"It took an effort."
17"She folded the damp napkin"
18"She had wanted a day"
19"It was strong, just as"
ratio0.232
25.66% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount86
totalSentences99
matches
0"Rory came into the Raven’s"
1"Silas had forgotten to eat"
2"She set the bag at"
3"Silas’s silver signet ring tapped"
4"Rory had been looking at"
5"The woman sitting beneath a"
6"Her coat lay folded on"
7"A glass of water stood"
8"The woman smiled uncertainly."
9"Rory knew her then."
10"She had imagined this meeting"
11"None had Silas opening a"
12"Eva got off her stool."
13"She was still a little"
14"They hugged awkwardly, shoulders touching"
15"Eva’s coat smelled of rain"
16"Eva glanced toward the ceiling"
17"Rory looked at the glass"
18"Eva saw her look and"
19"Rory hadn’t asked."
ratio0.869
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences99
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences44
technicalSentenceCount1
matches
0"There had been an Eva who could talk their way into the back row of a sold-out cinema, who knew which Cardiff bus drivers would wait if they saw her running."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags23
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags16
fancyCount0
fancyTags(empty)
dialogueSentences80
tagDensity0.2
leniency0.4
rawRatio0
effectiveRatio0
88.2197%