Run: 2026-07-09-01KX40XB92WYMFM5QXPBPXP1KA

Run Details

Duration:
17.2s
Cost:
$0.017062
Provider:
OpenAI

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <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> Continue the story using the following instructions: <instructions> 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. </instructions>

Model response

AI
Rain had polished Soho to a black sheen by the time Aurora Carter pushed open the door of the Raven’s Nest. The green neon sign above the entrance shivered in the glass, breaking the word RAVEN into crooked fragments. Water clung to the shoulders of her coat and gathered at the ends of her straight black hair. She wiped her boots on the mat, glanced at the empty tables, then lifted the paper bag in her hand. “Kitchen sent this over for Silas.” The barman looked up from a glass he had been polishing. “He’s in the back.” “He’ll survive another minute without it.” “He might not. You know what he’s like when he misses dinner.” Aurora slid the bag across the counter. The barman caught it and disappeared through a narrow door beside the shelves of whisky. The Nest breathed around her. Low music threaded between conversations. Old maps covered the walls, their coastlines puckered with age. Black-and-white photographs watched from dark frames: stern faces, crowded railway platforms, London before the war. A brass lamp cast a warm pool over the nearest table, leaving the corners in shadow. Aurora pulled off her gloves. The crescent scar on her left wrist flashed pale beneath the cuff of her jumper. She rubbed the spot without thinking. Someone laughed near the bar. The sound caught her before the face did. She turned. A woman stood beneath one of the framed photographs, rainwater shining on the shoulders of a tailored charcoal coat. Her hair, once a wild brown cloud that reached her waist, now ended at her jaw in a precise black bob. Silver threaded through it at the temples. She held a tumbler between both hands, though the drink inside had gone untouched. For one long second, neither of them moved. Then the woman’s mouth opened. “Rory?” Aurora’s fingers closed around her gloves. “Eva.” The years between them seemed to gather in the space beside the nearest table. They did not vanish. They took shape: unanswered messages, a funeral missed, a flat in London reached in the middle of the night, a voice on the telephone saying, Come here. I can’t leave you there. Eva looked her over. Her gaze paused at the scar on Aurora’s wrist, then climbed to her face. “You cut your hair.” “It grew back.” “That wasn’t what I meant.” “You haven’t changed at all.” Eva gave a short laugh. “You always did lie badly.” Her old voice. Lower now, scraped at the edges, but still carrying the quick upward turn that had once made every sentence sound like a dare. Aurora slipped her gloves into her coat pocket. “Sit down.” Eva glanced at the empty chair opposite her. “Are you working?” “I’m delivering food.” “To Silas?” “To the kitchen. Silas eats the kitchen’s food.” “That sounds like him.” “You know him?” “I know everyone who knows how to keep a door closed.” Aurora sat. Eva took the other chair. Between them, the table bore a ring of damp and a small brass ashtray filled with matchsticks. The barman placed two fresh glasses on the table without asking. Amber liquid caught the light. Aurora looked at hers. “I didn’t order this.” “You didn’t have to,” the barman called from behind the counter. “Rory’s on the house.” Eva wrapped her hand around the glass. Her knuckles showed white. “You live here?” she asked. “Above the bar.” “You live above a bar.” “It has walls. A roof. Hot water when the pipes feel generous.” Eva glanced towards the ceiling. “That is not the same as an address.” “It’s Soho. People pay more for less.” “I remember when you wanted a house with a garden.” “I remember when you wanted to be a surgeon.” Eva’s gaze dropped to the table. The music shifted. A piano began to play, sparse notes that left more silence than sound. “I didn’t become a surgeon,” Eva said. “No.” “I became a consultant.” “On what?” “Risk.” Aurora lifted her glass but didn’t drink. “That sounds clean.” “It isn’t.” “Nothing you did ever was.” Eva’s fingers tightened around the tumbler. “You came to London because I told you to.” “You told me to get out.” “I told you to leave him before he killed you.” “You told me to get out and then stopped answering your phone.” The barman paused behind the counter. A glass touched wood with a quiet click. Eva looked towards him, then back at Aurora. “I had reasons.” “I’m sure you did.” “Don’t do that.” “Do what?” “Put that calm little voice on. You used it when your father asked whether you’d read the case notes. You used it when Evan broke the kitchen door. You used it now because you want me to understand you without forcing yourself to explain.” Aurora’s thumb traced the rim of her glass. “I didn’t come here to explain anything.” “No. You came to deliver noodles.” “Dumplings.” “Of course.” A smile flickered across Eva’s face, but it vanished before it settled. Aurora studied her. The old Eva had worn bright colours and cheap jewellery, had filled every room with movement. At nineteen she had stolen a bicycle from outside the university library, dragged Aurora onto the back, and pedalled them both through Cardiff rain while shouting that the law had failed them. She had loved recklessly, worked three jobs at once, and kept every promise as if breaking one would split the earth. This woman sat with her shoulders held square, her coat buttoned to the throat. A thin pale line marked the skin beneath her right eye. Her nails were clipped short. No rings. No colour. “What happened to your face?” Aurora asked. Eva touched the scar. “Occupational hazard.” “Risk consultant.” “Among other things.” “What does that mean?” “It means I read contracts people don’t want read. I tell them which doors will open and which ones will close on their hands.” “You still talk in riddles.” “You still pretend you hate them.” “I do hate them.” “You used to love them.” “I used to be nineteen.” “That was the last time you answered my letters.” Aurora set down her glass. “I received three.” “You received seven.” “Three.” “Seven. One from Cardiff. Two from London. The others came back to me.” “I moved.” “You changed buildings, not countries.” “I changed my name.” Eva stared at her. Aurora regretted the words as soon as they left her mouth. Outside, a bus dragged its lights through the rain. Green from the sign slid over the window and crossed Eva’s face, making her look briefly underwater. “Why?” Eva asked. Aurora looked past her to the photographs. A young man in a dark uniform stood beside a train. His eyes held the camera with the same hard patience Silas carried. “You know why.” “I know what he did. I don’t know why you disappeared.” “Because staying visible made me easy to find.” “He never came to London.” “He didn’t have to.” Eva’s mouth tightened. “I checked.” “You checked once.” “I checked every week for six months.” “And then?” “And then I stopped being twenty-two.” The words landed with more force than either of them expected. Eva reached for her glass. Her hand shook once, then steadied. Aurora remembered that hand pressing a cold cloth to her split lip. Remembered Eva crouched beside the bath, her voice breaking as she called a taxi. Remembered the night they packed Aurora’s clothes into black bin bags while Evan slept behind a locked bedroom door. She also remembered waking in the London flat three weeks later to an empty kitchen and a note beneath the kettle. I’m sorry. I can’t do this. No signature. No explanation. “You left me there,” Aurora said. Eva stared at the amber in her glass. “I left you safe.” “You left me alone.” “I thought those were the same thing.” “They weren’t.” “I know that now.” “You knew it then.” Eva looked up. “Did I?” The question had no defence in it. That made it worse. Aurora leaned back. “What did you think would happen?” “I thought you’d hate me for a while. Then I thought you’d build a life and hate me less.” “You made plans for my feelings.” “I made plans because you had none left.” Aurora’s jaw tightened. Eva went on. “You couldn’t sleep. You wouldn’t eat unless I stood over you. You carried your phone from room to room like it might ring with permission to breathe. Every time I asked what you wanted, you looked at me as if I’d asked you to name a country you’d never seen.” “You could have stayed.” “I did stay.” “For three weeks.” “For three weeks, I slept on your floor and watched you wake from nightmares.” “Then you left.” “Because I was afraid of what would happen if I stayed.” Aurora’s gaze sharpened. “To me?” “To myself.” The piano stopped. The sudden quiet exposed the rain, the clink of bottles, the low murmur from the far end of the bar. Eva touched the scar beneath her eye again. “I told myself I was helping you. That was the story I used because the truth was uglier.” Aurora waited. Eva swallowed. “I couldn’t bear that you needed me. Not in that way. Not after all those years of you being the clever one, the steady one, the person who could turn any disaster into a list of tasks. You needed someone to hold your hand, and I wanted to be the person you trusted. But I didn’t want to become responsible for whether you survived.” Aurora’s glass stood untouched between them. “You weren’t responsible for that.” “I know.” “You didn’t know then.” “No.” “Neither did I.” Eva’s eyes shone, though no tears fell. “You look well.” “I am.” “Do you mean it?” Aurora considered the question. Above them, the floor creaked. Silas, somewhere behind the bookshelf, moved with his uneven step. “I work. I pay rent. I sleep most nights. I don’t let people tell me who I am.” “That sounds like a yes.” “It sounds like a list.” “You always did hide in lists.” “And you always mistook movement for courage.” Eva took that blow without flinching. Aurora looked towards the bar. “What are you doing here?” “I have a meeting.” “With Silas?” “With someone who works for him.” “Why?” Eva’s eyes shifted to the green-lit window. “Because some doors need opening.” “That answer would have annoyed me at nineteen.” “It annoyed you when you were nineteen.” “You loved that.” “I loved everything before I understood the cost.” Aurora heard the bookshelf move behind the wall. A hidden catch clicked. Silas emerged from the back passage with the paper bag in one hand. His grey-streaked auburn hair caught the amber light, and his neatly trimmed beard gave nothing away. He crossed the room with his slight limp, silver signet ring bright against the bag’s folded top. His eyes travelled from Eva to Aurora. “Ah,” he said. “This is inconvenient.” Eva stood. “No,” Aurora said. “It’s late.” She reached for her coat. Eva remained beside the table. “Rory.” Aurora paused. Eva’s hand hovered over the glass, not touching it. “I kept your letters.” Aurora turned towards her. “All seven,” Eva continued. “I wrote replies to each one. I never sent them.” “Why?” “Because every reply sounded like an excuse.” Aurora waited, her hand resting on the back of the chair. Eva’s face had changed again. The polished surface had cracked, and beneath it Aurora glimpsed the girl who had stolen the bicycle, the woman who had knelt beside a bath with blood on her sleeve, the friend who had run because staying demanded more courage than she possessed. “I don’t need them now,” Aurora said. “I know.” “Good.” She put on her gloves. Silas set the paper bag on the bar. “Rory, the rain’s worsened.” “I noticed.” Eva stepped aside to let her pass. At the door, Aurora felt Eva’s gaze between her shoulder blades. “Do you still want the garden?” Eva asked. Aurora’s fingers closed around the handle. “Not if I have to weed it.” Eva laughed once. The sound broke in the middle. Aurora opened the door. Cold rain rushed in, carrying traffic noise and the electric hum of the green sign. Behind her, Eva spoke. “I’m sorry.” Aurora looked back. Eva stood beneath the old photograph, one hand flat on the table, her altered face bare in the dim light. Aurora held her gaze. “I know,” she said. Then she stepped into the rain.
created_at"2026-07-09T18:05:49.224Z" 7/9/2026, 6:05:49 PM
model"openai/gpt-5.6-luna-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency493
moderation_latency(null)
generation_time16930
tokens_prompt1094
tokens_completion3593
native_tokens_prompt982
native_tokens_completion2680
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"
usage0.017062
router(null)
provider_responses
0
endpoint_id"eebea444-34a5-4642-a766-cb319471d33a"
id"resp_0d7a81b63d5e4093016a4fe2fd4cfc81938f6fc31ebe6ee213"
is_byokfalse
latency229
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-1783620349-VdW76BK7A1dcL2aJdCV3"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783620349-beBgaN8GyzteMH3BkFNl"
upstream_id"resp_0d7a81b63d5e4093016a4fe2fd4cfc81938f6fc31ebe6ee213"
total_cost0.017062
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
totalTags12
adverbTagCount0
adverbTags(empty)
dialogueSentences146
tagDensity0.082
leniency0.164
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2089
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)
90.43% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2089
totalAiIsms4
found
0
word"silence"
count1
1
word"traced"
count1
2
word"flickered"
count1
3
word"electric"
count1
highlights
0"silence"
1"traced"
2"flickered"
3"electric"
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
narrationSentences147
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences147
filterMatches
0"look"
hedgeMatches
0"seemed to"
1"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences281
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen64
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2089
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions23
unquotedAttributions1
matches
0"Behind her, Eva spoke."
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions94
wordCount1222
uniqueNames11
maxNameDensity3.27
worstName"Aurora"
maxWindowNameDensity6.5
worstWindowName"Aurora"
discoveredNames
Soho1
Aurora40
Carter1
Raven1
Nest2
London3
Come1
Eva39
Cardiff1
Silas4
Evan1
persons
0"Aurora"
1"Carter"
2"Raven"
3"Nest"
4"Come"
5"Eva"
6"Silas"
7"Evan"
places
0"Soho"
1"London"
2"Cardiff"
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences80
glossingSentenceCount1
matches
0"as if breaking one would split the earth"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount2089
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences281
matches
0"shouting that the"
1"remembered that hand"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs210
mean9.95
std12.23
cv1.229
sampleLengths
021
156
26
315
46
512
622
751
826
95
108
112
1261
138
145
151
166
171
1850
1918
204
213
225
235
2410
2526
268
272
2811
293
302
318
324
333
3411
3524
3616
378
3815
3911
405
413
425
4312
4413
457
4610
479
486
4916
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences147
matches
0"were clipped"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs216
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences281
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1226
adjectiveStacks1
stackExamples
0"slight limp, silver signet"
adverbCount30
adverbRatio0.024469820554649267
lyAdverbCount3
lyAdverbRatio0.0024469820554649264
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences281
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences281
mean7.43
std7.4
cv0.995
sampleLengths
021
118
218
320
46
511
64
76
812
97
1015
115
125
1310
1415
1516
165
1715
186
195
208
212
2219
2321
247
2514
268
275
281
296
301
3114
324
3327
345
354
3614
374
383
395
405
415
425
433
4423
458
462
478
483
493
42.53% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats21
diversityRatio0.22419928825622776
totalSentences281
uniqueOpeners63
53.33% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences125
matches
0"Then the woman’s mouth opened."
1"Then she stepped into the"
ratio0.016
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences125
matches
0"She wiped her boots on"
1"She rubbed the spot without"
2"Her hair, once a wild"
3"She held a tumbler between"
4"They did not vanish."
5"They took shape: unanswered messages,"
6"I can’t leave you there."
7"Her gaze paused at the"
8"Her old voice."
9"Her knuckles showed white."
10"She had loved recklessly, worked"
11"Her nails were clipped short."
12"His eyes held the camera"
13"Her hand shook once, then"
14"She also remembered waking in"
15"I can’t do this."
16"His grey-streaked auburn hair caught"
17"He crossed the room with"
18"His eyes travelled from Eva"
19"She reached for her coat."
ratio0.168
28.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount108
totalSentences125
matches
0"Rain had polished Soho to"
1"The green neon sign above"
2"Water clung to the shoulders"
3"She wiped her boots on"
4"The barman looked up from"
5"Aurora slid the bag across"
6"The barman caught it and"
7"The Nest breathed around her."
8"A brass lamp cast a"
9"Aurora pulled off her gloves."
10"The crescent scar on her"
11"She rubbed the spot without"
12"Someone laughed near the bar."
13"The sound caught her before"
14"A woman stood beneath one"
15"Her hair, once a wild"
16"Silver threaded through it at"
17"She held a tumbler between"
18"Aurora’s fingers closed around her"
19"The years between them seemed"
ratio0.864
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences125
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences45
technicalSentenceCount2
matches
0"Her hair, once a wild brown cloud that reached her waist, now ended at her jaw in a precise black bob."
1"The polished surface had cracked, and beneath it Aurora glimpsed the girl who had stolen the bicycle, the woman who had knelt beside a bath with blood on her sl…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags12
fancyCount1
fancyTags
0"Eva continued (continue)"
dialogueSentences146
tagDensity0.082
leniency0.164
rawRatio0.083
effectiveRatio0.014
86.9429%