Run: 2026-09-23-01M37J06YQE0Y5TXR3294T1MTK

Run Details

Duration:
1m 9s
Cost:
$0.036276
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 soaked through Rory’s jacket by the time she reached the green neon of the Raven’s Nest. She came in with a paper bag of noodles for Silas and a wet cuff dripping onto her hand. Silas was behind the bar, polishing a glass he had already polished. He looked up at the bag, then past Rory’s shoulder. “You’ve got company,” he said. Rory turned. A woman sat alone beneath a framed street map of London, her coat folded neatly across the empty stool beside her. She had cropped hair and wore a dark blue jumper with a frayed cuff. For a moment Rory saw only an unfamiliar face, pale and watchful in the bar’s low light. Then the woman smiled. “Rory.” The voice reached her before the rest of it did. “Eva?” Eva stood. They looked at each other across the small distance between the bar and the tables, both apparently waiting for someone to make it ordinary. Eva had been the sort of person who entered a room at speed, talking before she’d found a place to sit. Now she held still, one hand resting on the back of her stool. Rory crossed to her. They hugged awkwardly around Rory’s wet jacket. Eva smelled of rain and the clean, faintly medicinal soap used in public toilets. “I nearly didn’t recognise you,” Rory said. “I know.” Eva touched her hair. “It was longer last time.” It had been long enough to catch in the zip of her coat. At eighteen, Eva had dyed the ends red in her mother’s bathroom and left a stain on the grout that survived three attempts to scrub it off. The stain was still there when Rory had last visited. Silas came round the end of the bar with his slight limp and took the paper bag from Rory. His silver signet ring pressed a crescent into the damp paper. “Thank you, love. What are you having?” “Nothing yet.” Rory looked at Eva’s glass. Clear liquid, ice, a wedge of lime. “Ginger beer,” Eva said. Silas gave Rory a look that asked nothing she had to answer, then went back behind the bar. “Do you know him?” Eva asked. “I live upstairs.” “Of course you do.” Eva glanced toward the ceiling. “I came in to get out of the rain. I’ve been sitting here an hour.” “You didn’t know?” “I knew you were in London.” Rory pulled out the stool opposite and sat down. Rainwater slid from the end of her hair onto her collar. She could think of half a dozen things to say and none of them would fit between the stools. How long has it been felt absurd; she knew. She had counted the years each time Eva’s birthday came up on her phone. “Were you waiting for someone?” she asked. “My train. There was a course in Holborn.” Eva turned her glass by the rim. “I’ve an hour before I need to go.” “Are you still in Cardiff?” “Newport now.” Rory waited for an explanation. Eva used to offer one before anyone asked, complete with impressions of everyone involved. Instead she took a sip of ginger beer. “What sort of course?” “Safeguarding. I work at a housing association.” She paused. “I help people with applications, mostly.” “That sounds like you.” Eva’s mouth pulled sideways. “Does it?” Rory wasn’t sure. She had meant the woman who once knew every bus route out of Cardiff and had lent bus fare to people she barely liked. But Eva had never been patient with forms. She’d once torn up a university application because she couldn’t bear writing about herself as someone with a plan. “You cut your hair,” Rory said. “You noticed.” “I didn’t mean it like that.” “I know.” From the end of the bar came the low roar of the coffee machine. Silas preferred to do things himself even when the evening staff were on. A couple by the door leaned close over the same phone. Outside, a bus passed, briefly washing the window red. Eva put her glass down. “You look well.” “I am.” “I wondered.” Rory felt the old impulse to give an account: work, rent, the Golden Empress, the flat above the bar. Proof that she had done something useful with the advice Eva had given her. It was Eva who’d said, over the telephone, Leave Cardiff. Go to London. Not as a grand speech. She’d said it sharply, while Rory stood in the kitchen listening for Evan’s key in the lock. “You could have asked,” Rory said. “I know.” There was no defence in it. That annoyed Rory more than an excuse might have. Eva looked down at the tabletop. “I did write to you once.” “When?” “About three years ago. It’s still in a drawer.” Rory let out a small breath. “That’s not quite the same.” “No.” Silas set a fresh glass of water beside Rory. He didn’t interrupt. She waited until he’d moved away. “I thought you’d be there,” she said. Eva raised her eyes. “When I got to London. I thought that was what you meant.” Rory traced the edge of the glass with one finger. “I got off the coach and called you.” “I remember.” “It rang out.” “I know.” Rory looked at her. “You remember that?” Eva nodded. Her hand, lying flat on the table, had a small white mark across one knuckle. Rory didn’t recognise it. There were probably marks on her own body Eva had never seen. “I was in Swansea,” Eva said. “At somebody’s flat. I’d been there since the night before. I saw the call.” Rory had imagined a dozen explanations over the years. Eva had lost her phone; Eva had been busy; Eva had changed her number and forgotten to tell her. She had not wanted to imagine Eva watching it ring. “I’m sorry,” Eva said. Rory looked toward the map on the wall. Somebody had drawn the old railway lines in red ink. “I found somewhere to stay.” “I know you did.” “Silas let me take the flat. I was working evenings here then.” “That’s good.” “It was. Is.” Eva nodded, accepting the correction. She did not ask about Evan. Rory was grateful until she realised she wanted her to. “You told me to go,” Rory said. “I did.” “And then you disappeared.” Eva ran a thumb over the condensation on her glass. “I was drinking a lot. I didn’t have anywhere for you to sleep, and I’d made it sound like I did. I thought if I answered, you’d ask me where to come.” She glanced up. “I’m not telling you so you’ll feel sorry for me.” “I don’t.” “Good.” The word came out too fast. They both heard it. Rory remembered Eva at seventeen, standing on a wall above the river in a pair of cheap white trainers, shouting that they should jump in before they had time to think. Rory had stayed on the bank with their shoes. Eva had come out shivering, triumphantly holding up a shopping trolley token she’d found in the mud. For years Rory had thought of that as courage: the shout, the jump, the willingness to look ridiculous. She had not considered what it cost Eva to come home wet. “How long?” Rory asked, looking at the ginger beer. “Nearly two years.” Rory nodded. She wanted to say congratulations but feared it would sound like praise from a stranger. Eva saved her the trouble. “My mother still orders wine when we go out. She says she forgets. Then she makes a great performance of apologising.” “That sounds like your mother.” “It does.” Eva smiled properly, and for a second Rory saw the girl she knew. Then Eva looked at her watch. Not yet time to leave. She took her hand away from it. “Does she still have the red grout?” Rory asked. “Under the sink? She replaced the tiles last year.” Rory felt an unexpected pang. “All of them?” “Only the ones she could reach. She says the others are hidden by the washing machine.” They laughed. It lasted a moment and left them both quieter. A man came in from the rain and paused just inside the door, shaking his umbrella over the mat. Silas called out to him by name. Rory watched Eva turn her glass slowly until the wedge of lime faced her. “I was angry with you,” Rory said. “For a long time.” “You should have been.” “I didn’t ask you to decide that.” Eva stopped turning the glass. “No. Sorry.” Rory rubbed at the small crescent scar on her left wrist, a habit she’d thought she’d lost. What she wanted, she realised, was not Eva’s permission to be angry. She wanted that first night back: the coach station’s harsh lights, her phone warm against her ear, a different voice when the call connected. There was no way to ask for it without sounding as if the life she had now counted for less. “I missed you too,” she said. Eva’s face changed. She had prepared herself for the other sentence, not that one. “I missed you,” she said. “I kept thinking I’d call when I’d sorted myself out. Then it had been so long.” Rory looked at her cropped hair, the careful way she held herself at a bar table with a drink she could leave unfinished. Eva had sorted out some things. Others still sat between them, not yet ready to be moved. Silas appeared beside them with a clean cloth. “You two want food? Rory brought enough for an army.” “I’ve got a train,” Eva said. “An hour,” Rory told him. Silas lifted his eyebrows. “Plenty of time for noodles, then.” He went to fetch bowls before either of them could object. Eva watched him go. “He’s kind.” “He can be.” “You sound like you know him.” “I do.” Rory took off her wet jacket and hung it over the back of her stool. “He’ll ask you three questions about the train and somehow know your whole life by the second.” “I’d better be careful.” “He already knows we know each other.” “That much I can cope with.” Silas returned with two bowls and a pair of chopsticks for each of them. The noodles were still hot. Eva pushed her sleeves above her wrists, and Rory did the same. For a while they ate and talked about the train, the rain, and Eva’s mother’s new tiles. When Eva asked about Rory’s work, Rory told her about carrying deliveries through Soho and knowing which office receptions would let her use the lift. It was easier to speak while Eva was occupied with her noodles. She found herself telling a story about a customer who ordered the same dinner every Thursday and always claimed it wasn’t his, then asking Eva how she liked Newport. Beyond the window, people hurried past the green light with their heads bent against the weather. Eva’s train would leave whether they had finished talking or not. Rory knew there would be another silence after this, when Eva went home and Rory climbed the stairs above the bar. She reached across the table for a napkin and put one beside Eva’s bowl. Eva glanced up and smiled at her, then carried on eating.
created_at"2026-09-23T16:36:23.135Z" 9/23/2026, 4:36:23 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency25362
moderation_latency(null)
generation_time68789
tokens_prompt846
tokens_completion2946
native_tokens_prompt808
native_tokens_completion3466
native_tokens_completion_images0
native_tokens_reasoning1117
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"
usage0.036276
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790181383-CEcOW2fGjTbm95Bbo0o3"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790181383-uJ0877LsAGgryGhiApba"
upstream_id"resp_0e303e7fd69ae965016ab4000740b087d1868f3dfe12f60051"
provider_responses
0
endpoint_id"1cfc7d9d-4404-4b8e-9ee4-58ae45c9dcd4"
id"resp_0e303e7fd69ae965016ab4000740b087d1868f3dfe12f60051"
is_byokfalse
latency1746
model_permaslug"openai/gpt-6-sol-20260922"
provider_name"OpenAI"
status200
total_cost0.036276
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
totalTags28
adverbTagCount1
adverbTags
0"Eva smiled properly [properly]"
dialogueSentences90
tagDensity0.311
leniency0.622
rawRatio0.036
effectiveRatio0.022
94.69% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1885
totalAiIsmAdverbs2
found
0
adverb"sharply"
count1
1
adverb"slowly"
count1
highlights
0"sharply"
1"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)
92.04% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1885
totalAiIsms3
found
0
word"traced"
count1
1
word"pang"
count1
2
word"silence"
count1
highlights
0"traced"
1"pang"
2"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
narrationSentences142
matches
0"was grateful"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences142
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences204
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1885
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions27
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions123
wordCount1403
uniqueNames15
maxNameDensity3.64
worstName"Eva"
maxWindowNameDensity6.5
worstWindowName"Eva"
discoveredNames
Rory47
Raven1
Nest1
Silas10
London2
Eva51
Clear1
Cardiff2
Golden1
Empress1
Leave1
Evan2
Soho1
Thursday1
Newport1
persons
0"Rory"
1"Raven"
2"Silas"
3"Eva"
4"Evan"
places
0"London"
1"Cardiff"
2"Leave"
3"Soho"
4"Newport"
globalScore0
windowScore0
96.24% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences93
glossingSentenceCount2
matches
0"e tables, both apparently waiting for someone"
1"appeared beside them with a clean cloth"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1885
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences204
matches
0"shouting that they"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs110
mean17.14
std20.68
cv1.207
sampleLengths
038
122
25
358
41
510
61
760
825
97
1011
1150
1230
137
1414
154
1618
176
183
1924
203
216
2262
237
2423
255
262
2727
284
2915
304
316
3254
336
342
356
362
3747
388
392
402
4168
426
432
4415
4512
461
479
4811
491
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences142
matches
0"been felt"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs267
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount3
flaggedSentences2
totalSentences204
ratio0.01
matches
0"How long has it been felt absurd; she knew."
1"Eva had lost her phone; Eva had been busy; Eva had changed her number and forgotten to tell her."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1403
adjectiveStacks0
stackExamples(empty)
adverbCount35
adverbRatio0.024946543121881683
lyAdverbCount12
lyAdverbRatio0.008553100498930863
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences204
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences204
mean9.24
std6.55
cv0.709
sampleLengths
019
119
212
310
45
52
621
714
817
94
101
1110
121
132
1424
1521
1613
174
187
1914
207
216
225
2313
2427
2510
2619
2711
287
297
307
314
3218
336
343
359
3615
373
386
399
4011
4119
429
4314
447
4515
468
475
482
495
43.63% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.2696078431372549
totalSentences204
uniqueOpeners55
83.33% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences120
matches
0"Then the woman smiled."
1"Instead she took a sip"
2"Then Eva looked at her"
ratio0.025
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences120
matches
0"She came in with a"
1"He looked up at the"
2"She had cropped hair and"
3"They looked at each other"
4"They hugged awkwardly around Rory’s"
5"It had been long enough"
6"His silver signet ring pressed"
7"She could think of half"
8"She had counted the years"
9"She had meant the woman"
10"She’d once torn up a"
11"It was Eva who’d said,"
12"She’d said it sharply, while"
13"He didn’t interrupt."
14"She waited until he’d moved"
15"Her hand, lying flat on"
16"She had not wanted to"
17"She did not ask about"
18"She glanced up"
19"They both heard it."
ratio0.25
51.67% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount98
totalSentences120
matches
0"The rain had soaked through"
1"She came in with a"
2"Silas was behind the bar,"
3"He looked up at the"
4"A woman sat alone beneath"
5"She had cropped hair and"
6"The voice reached her before"
7"They looked at each other"
8"Eva had been the sort"
9"Rory crossed to her."
10"They hugged awkwardly around Rory’s"
11"Eva smelled of rain and"
12"Eva touched her hair"
13"It had been long enough"
14"The stain was still there"
15"Silas came round the end"
16"His silver signet ring pressed"
17"Rory looked at Eva’s glass"
18"Silas gave Rory a look"
19"Eva glanced toward the ceiling"
ratio0.817
41.67% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences120
matches
0"Now she held still, one"
ratio0.008
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences63
technicalSentenceCount1
matches
0"It was Eva who’d said, over the telephone, Leave Cardiff."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags28
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags18
fancyCount0
fancyTags(empty)
dialogueSentences90
tagDensity0.2
leniency0.4
rawRatio0
effectiveRatio0
90.1089%