Run: 2026-07-09-01KX40B819TYHG9F1D86H7CNEB

Run Details

Duration:
16.5s
Cost:
$0.016630
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
Rain worried at the windows of the Raven’s Nest, thin and persistent, turning Soho’s lights into smeared ribbons. Aurora Carter stood behind the bar with a tray balanced on one palm, listening to a man in a camel coat explain that the trouble with modern cocktails was their dishonesty. “They’re all theatre,” he said. “Smoke, foam, coloured ice. A drink should tell you what it is.” Aurora set down his whisky. “Then you’ll be pleased to know this is whisky.” He looked at the glass, disappointed by its lack of revelation. The green neon sign above the entrance pulsed through the front window, staining the old maps and black-and-white photographs on the walls with a sickly glow. Somewhere beneath the music, the ice machine coughed. Silas was at the far end, one hand braced on the back of a chair while he spoke to a woman in a navy coat. His slight limp made itself known whenever he crossed the room, but never before he wanted it to. Aurora had worked at the Nest long enough to understand its rhythms. The bar softened after ten. The regulars grew confessional. Strangers either became friends or left angry. Silas watched everything from beneath heavy lids, as if the room were a puzzle he had already solved and was waiting for someone else to notice. The door opened. Cold air swept in, carrying the wet shine of the street. A man stepped inside and paused beneath the green light. Aurora knew him before he turned. The recognition went through her with the clean force of a dropped glass. Evan. He had changed. That was her first thought, absurdly plain. His hair was shorter than she remembered, no longer falling over his forehead in the careless way she had once found charming. There were silver threads at his temples. His face looked leaner, his mouth less generous. He wore a dark wool coat and held himself with a contained, expensive caution, as if every room might be hostile if he failed to assess it properly. Then he saw her. The years between them did not vanish. They folded. Aurora was back in Cardiff, twenty-one and exhausted, standing in her parents’ kitchen with her left wrist pressed beneath cold water. The crescent-shaped scar there had been small even then, a pale curve from a childhood accident. Evan had held her wrist too tightly beside the sink. Not enough to bruise, he’d said afterward. Not enough to make a fuss. She had believed him for longer than she could explain. Now he stared at the scar as if he remembered the origin of it, though he had never caused it. “Rory,” he said. The nickname struck harder than his face. She set the tray on the bar. “Don’t call me that.” His mouth tightened. “Right. Sorry. Aurora.” Behind her, a glass touched wood. Silas had stopped moving. She could feel his attention without looking at him. Evan took off his coat and draped it over one arm. “I didn’t know you worked here.” “I didn’t know you came here.” “I don’t. I was meeting someone.” “Then you’ve made a mistake.” A flicker crossed his face—hurt, or the performance of hurt. She had once spent years learning the difference. She no longer trusted herself to tell. He looked around the room. “It’s a nice place.” “It’s a bar.” “You always hated small talk.” “I still do.” The man in the camel coat lifted his whisky. “Another.” Aurora kept her eyes on Evan. “Silas.” Silas appeared at her shoulder with quiet authority. Up close, his grey-streaked auburn hair and neatly trimmed beard caught the low light. His silver signet ring flashed as he took the empty glass from the customer. “Give her a minute,” he told the man. The customer opened his mouth, thought better of it, and turned away. Silas looked at Evan. “Friend of yours?” “No,” Aurora said. “Yes,” Evan said. Silas’s hazel eyes moved between them. “That sounds complicated.” “It isn’t,” Aurora said. “It is,” Evan said. Silas’s gaze settled on Aurora. He did not ask. That was one of the reasons she trusted him. He merely tapped two fingers against the bar, a small signal that meant he was close if she needed him. “I’ll be in the back,” he said. “If you need anything.” The bookshelf behind the bar looked like decoration—rows of old novels, atlases, and yellowing travel guides. Aurora knew it concealed the narrow door to Silas’s hidden room, where meetings happened that were never entered in calendars. Silas slipped behind it, moving with his familiar uneven stride. Evan watched him go. “You’ve done well.” The words were almost kind. They made her angry. “Have I?” “You’re living in London. You’ve got a job. You always wanted to leave Cardiff.” “I wanted to leave you.” His gaze dropped. The truth sat between them, smaller than she expected. She had imagined saying it for years. In those fantasies, the words had thundered. Evan had flinched, apologised, confessed. She had walked away with the clean relief of a door closing. Instead, the bar continued around them. A woman laughed near the window. A glass shattered in the kitchen. Rain ticked against the pane. “I heard you went to Cardiff University,” he said. “Pre-Law.” “Of course.” She hated the softness in his voice. He had always spoken as though he understood her before she did. “I didn’t finish.” “Because of me?” “Don’t flatter yourself.” “I’m not.” “You are. You’re standing here asking me to arrange my entire life around your guilt.” His eyes sharpened then, and for a moment she recognised the old Evan—the one who could turn a room cold without raising his voice. The recognition left her steadier, not weaker. “I didn’t come here for that,” he said. “Why did you come?” “To meet a client.” “Your client is late.” “He’s not coming.” “Then you can leave.” He looked at her, and something in his expression loosened. “You really do hate me.” Aurora took a clean glass from the shelf and polished it though it was already spotless. “Hate requires investment.” “That’s not what you used to say.” “I used to say a lot of things.” “You used to say I was the only person who knew you.” The cloth stopped in her hand. There it was. The old hook, buried beneath years of silence. Not an accusation exactly. Worse: a fact. She had been twenty when she met him, still living at home, still trying to become the daughter her father could introduce proudly and the student her mother could defend. Evan had seemed like an escape hatch. He knew which pubs stayed open late, which roads avoided traffic, how to make a bad day feel like a conspiracy they could outsmart together. He had known her ambitions, then used them against her. Knew when she was tired, when she was ashamed, when she would choose peace over truth. He had mistaken knowledge for ownership. “No,” she said. “You knew what I allowed you to see.” “That’s not fair.” “Fair?” The word came out sharper than she intended. A few heads turned. She lowered her voice. “You don’t get to come in here and ask for fairness. You were there, Evan. You remember.” His face closed. “I remember us being unhappy.” “You remember arguments. I remember counting the seconds between your footsteps in the hall.” He looked away. That was the first honest thing he had done. Aurora saw it then: not remorse, exactly, but the edge of an old memory he had kept filed under her instability. He remembered her silence as punishment. He remembered her leaving as betrayal. He had never asked what it had cost her to stay. “I was different then,” he said. “So was I.” “I’ve changed.” She glanced at the expensive coat, the careful haircut, the restrained hands. “You look tired.” A humourless smile touched his mouth. “That isn’t the change I meant.” “What do you mean?” He hesitated. “I went to therapy.” “Congratulations.” “I’m not asking for one.” “For what?” “Forgiveness.” The word entered the space between them and found no place to land. Aurora put the glass down. Her bright blue eyes reflected the bottles behind the bar, green and amber and dark as old blood. “Then what are you asking for?” He seemed surprised by the question. Perhaps he had expected anger to carry them through the encounter. Perhaps he had rehearsed his apology without imagining she might require an answer. “I wanted to see you,” he said. “I wanted to know if you were all right.” “You could have asked Eva.” “I did.” “Of course you did.” “She said you were happy.” “Eva is generous.” “She said you live above a bar.” “I do.” “Is that happiness?” “No,” Aurora said. “It’s rent.” For the first time, he laughed. It sounded like the old laugh, and her body betrayed her with the faintest recognition. A remembered warmth. A hand at the small of her back. Music in a kitchen. The dangerous ease of believing a person could be both shelter and weather. She hated that memory most of all. Evan looked down at her wrist. “Does it still hurt?” She followed his gaze to the crescent scar. “No.” “That accident was awful.” “I was seven.” “You fell through the greenhouse window.” “I remember.” “You cried for hours.” “So did you.” He smiled faintly. “I was eight.” “You told me the glass had gone inside my blood.” “I was trying to make it less frightening.” “You made me afraid of my own veins.” “I was a child.” “So was I.” The smile faded. Aurora leaned both hands on the bar. Her pulse had begun to settle. The room was no longer Cardiff, no longer the flat where she had learned to make herself small. It was London. It was the Raven’s Nest. The green light shone through the rain. Silas was somewhere behind the false bookshelf, near enough to hear if she called. “I’m not angry that you changed,” she said. “I’m angry that you waited until I was gone.” His eyes lifted to hers. “Maybe I had to lose you,” he said. “No. You had to lose access to me.” The distinction struck him. She saw it land. He nodded once, slowly. “That sounds like something you’ve said before.” “I’ve had time to practise.” A silence opened. This one did not demand to be filled. At the entrance, the door rattled in its frame. A delivery cyclist hurried past beneath the neon. Somewhere upstairs, above the bar, Aurora’s flat waited with its narrow bed, mismatched mugs, and the stack of unopened letters she had been meaning to answer. Her life was not grand. It was not the clean, triumphant escape she had once imagined. But it belonged to her in all its ordinary, difficult pieces. Evan reached for his coat. “Are you staying in London?” she asked. He paused. “For a while.” “Try somewhere else.” His hand tightened around the coat. “I’m sorry, Aurora.” She believed that he was sorry. That was the worst of it. It did not undo anything. It did not transform the past into a lesson with a useful moral. It merely placed a small, insufficient truth on the bar between them. “I know,” she said. He put on his coat. At the door, he looked back. “Goodbye, Rory.” Her first instinct was to correct him. Then she let the nickname pass through her, stripped of its old power. “Goodbye, Evan.” The door closed behind him. Cold air rushed in and vanished. For several seconds, Aurora watched the green neon tremble in the glass. Silas emerged from the hidden room carrying a folder beneath one arm. He did not ask what had happened. He set the folder down, took her place behind the bar, and poured two fingers of whisky into a clean glass. “You want this?” he asked. Aurora looked at the drink. “No.” “Good.” He tipped it into the sink. She laughed, unexpectedly. The sound loosened something in her chest. Silas glanced toward the door. “Old friend?” “Once.” “That’s a dangerous tense.” Aurora touched the scar on her wrist. The skin was smooth beneath her fingertip, the crescent no more painful than a pale moon. “Not anymore,” she said.
created_at"2026-07-09T17:55:56.08Z" 7/9/2026, 5:55:56 PM
model"openai/gpt-5.6-luna-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency348
moderation_latency(null)
generation_time16177
tokens_prompt867
tokens_completion3389
native_tokens_prompt808
native_tokens_completion2637
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"
usage0.01663
router(null)
provider_responses
0
endpoint_id"eebea444-34a5-4642-a766-cb319471d33a"
id"resp_0a67d16986c77f89016a4fe0ac24bc8197b9f4821ef9612ed6"
is_byokfalse
latency208
model_permaslug"openai/gpt-5.6-luna-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783619756-ZP2DsuUqNoolHufmUCUg"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783619756-OqIJ2MhB8HHkuoyIKvTt"
upstream_id"resp_0a67d16986c77f89016a4fe0ac24bc8197b9f4821ef9612ed6"
total_cost0.01663
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags20
adverbTagCount0
adverbTags(empty)
dialogueSentences113
tagDensity0.177
leniency0.354
rawRatio0
effectiveRatio0
92.70% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2056
totalAiIsmAdverbs3
found
0
adverb"tightly"
count1
1
adverb"really"
count1
2
adverb"slowly"
count1
highlights
0"tightly"
1"really"
2"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)
65.95% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2056
totalAiIsms14
found
0
word"pulsed"
count1
1
word"could feel"
count1
2
word"flicker"
count1
3
word"familiar"
count1
4
word"thundered"
count1
5
word"shattered"
count1
6
word"silence"
count3
7
word"footsteps"
count1
8
word"restrained"
count1
9
word"encounter"
count1
10
word"warmth"
count1
11
word"pulse"
count1
highlights
0"pulsed"
1"could feel"
2"flicker"
3"familiar"
4"thundered"
5"shattered"
6"silence"
7"footsteps"
8"restrained"
9"encounter"
10"warmth"
11"pulse"
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
emotionTells2
narrationSentences185
matches
0"was ashamed"
1"seemed surprised"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences185
filterMatches
0"feel"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences278
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2053
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions40
unquotedAttributions1
matches
0"For the first time, he laughed."
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions54
wordCount1550
uniqueNames9
maxNameDensity1.23
worstName"Aurora"
maxWindowNameDensity3
worstWindowName"Evan"
discoveredNames
Raven2
Nest3
Soho1
Carter1
Aurora19
Cardiff2
Evan13
Silas12
London1
persons
0"Raven"
1"Carter"
2"Aurora"
3"Evan"
4"Silas"
places
0"Nest"
1"Soho"
2"Cardiff"
3"London"
globalScore0.887
windowScore0.667
85.34% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences116
glossingSentenceCount3
matches
0"looked like decoration—rows of old novels"
1"seemed surprised by the question"
2"sounded like the old laugh, and her body b"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.487
wordCount2053
matches
0"not remorse, exactly, but the edge of an old memory he had kept filed under her instab"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount3
totalSentences278
matches
0"explain that the"
1"hated that memory"
2"believed that he"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs163
mean12.6
std15.1
cv1.199
sampleLengths
049
117
214
311
477
554
63
721
86
913
101
1175
124
139
1460
1510
1620
173
187
1911
206
2119
2217
236
246
255
2625
279
283
295
303
3110
327
3336
348
3512
367
373
383
399
404
414
4238
4311
4446
457
469
472
4814
495
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences185
matches
0"was ashamed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs293
matches
0"was waiting"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences3
totalSentences278
ratio0.011
matches
0"A flicker crossed his face—hurt, or the performance of hurt."
1"The bookshelf behind the bar looked like decoration—rows of old novels, atlases, and yellowing travel guides."
2"His eyes sharpened then, and for a moment she recognised the old Evan—the one who could turn a room cold without raising his voice."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount609
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.027914614121510674
lyAdverbCount5
lyAdverbRatio0.008210180623973728
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences278
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences278
mean7.38
std5.63
cv0.762
sampleLengths
018
131
25
312
45
59
611
726
88
925
1018
1112
125
134
147
1526
163
1711
1810
196
2013
211
223
237
2422
257
268
2728
284
297
302
3121
3216
3310
347
356
3610
3720
383
397
407
414
423
433
446
454
469
4711
486
496
42.81% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats20
diversityRatio0.24100719424460432
totalSentences278
uniqueOpeners67
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount7
totalSentences162
matches
0"Somewhere beneath the music, the"
1"Then he saw her."
2"Instead, the bar continued around"
3"Perhaps he had expected anger"
4"Perhaps he had rehearsed his"
5"Somewhere upstairs, above the bar,"
6"Then she let the nickname"
ratio0.043
69.38% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount61
totalSentences162
matches
0"He looked at the glass,"
1"His slight limp made itself"
2"He had changed."
3"His hair was shorter than"
4"His face looked leaner, his"
5"He wore a dark wool"
6"She had believed him for"
7"She set the tray on"
8"His mouth tightened."
9"She could feel his attention"
10"She had once spent years"
11"She no longer trusted herself"
12"He looked around the room."
13"His silver signet ring flashed"
14"he told the man"
15"He did not ask."
16"He merely tapped two fingers"
17"They made her angry."
18"His gaze dropped."
19"She had imagined saying it"
ratio0.377
43.33% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount135
totalSentences162
matches
0"Aurora Carter stood behind the"
1"Aurora set down his whisky."
2"He looked at the glass,"
3"The green neon sign above"
4"Silas was at the far"
5"His slight limp made itself"
6"Aurora had worked at the"
7"The bar softened after ten."
8"The regulars grew confessional."
9"Strangers either became friends or"
10"Silas watched everything from beneath"
11"The door opened."
12"A man stepped inside and"
13"Aurora knew him before he"
14"The recognition went through her"
15"He had changed."
16"That was her first thought,"
17"His hair was shorter than"
18"His face looked leaner, his"
19"He wore a dark wool"
ratio0.833
30.86% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences162
matches
0"Now he stared at the"
ratio0.006
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences56
technicalSentenceCount2
matches
0"Silas watched everything from beneath heavy lids, as if the room were a puzzle he had already solved and was waiting for someone else to notice."
1"He wore a dark wool coat and held himself with a contained, expensive caution, as if every room might be hostile if he failed to assess it properly."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags20
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags20
fancyCount0
fancyTags(empty)
dialogueSentences113
tagDensity0.177
leniency0.354
rawRatio0
effectiveRatio0
89.9018%