Run: 2026-09-23-01M36REAT6KA1MX78JN3Z47V90

Run Details

Duration:
1m 7s
Cost:
$0.002576
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 ticked against the high windows of the Raven’s Nest. Rory came in with wet cuffs and the smell of fried garlic clinging to her jacket. The green neon sign painted a narrow stripe across the floor each time a car passed outside. Silas looked up from the bar. His silver ring caught the light as he set down a glass. “Last delivery?” “Last one. A man on Berwick Street tried to tip me with a lecture about his cholesterol.” “Did you take it?” “I left it on the pavement.” Silas’s mouth shifted. He reached for a clean cloth, and Rory slipped onto the stool at the end of the bar. Her shoulder-length hair clung to her neck. She rubbed a thumb over the crescent scar on her left wrist, then ordered tea. A woman at the table by the wall lifted her head. “Gin,” she called to Silas. “No tonic. And don’t put a slice of anything in it.” The words travelled across the room with the rain’s damp edge. Rory turned. For a moment she saw the woman as she had been: copper curls in her eyes, a split lip from some argument she had won by refusing to leave, both hands moving as she talked. Then the present settled over the memory. The curls were gone. A dark crop traced the shape of her head. Her coat had a clean line to it, her nails were cut short, and the small silver hoop she once wore through one ear had vanished. Eva stared back at her. “Rory.” The name caught between them. Rory stood. Her stool scraped the floor. “Eva.” Silas set the cloth aside. His gaze passed from one woman to the other, then he picked up his walking stick and limped toward the shelves behind the bar. “Tea can wait,” he said. “You two look as if you’ve misplaced something.” He left them with the bar’s low amber light and the photographs on the walls: faces from another century, all of them watching without interest. Eva rose from the table. She had a paper folder tucked under one arm. A blue tab marked the edge, and a Housing Advice Service logo sat in the corner. “You work here?” Her eyes moved over Rory’s damp jacket, the scar at her wrist, the black hair hanging against her cheek. “Upstairs. I live above the bar.” “Of course you do.” “What does that mean?” “It means you always liked having an exit.” Rory almost smiled. Eva’s mouth tightened before the smile could reach hers. “You look different,” Rory said. “I cut my hair.” “That’s not all.” Eva set the folder on the table. “No. I’m a solicitor now.” Rory glanced at the blue tab. “Housing?” “Mostly people who can’t afford to lose a room.” Eva pulled out the chair but didn’t sit. “You?” “Delivery work. A little of whatever keeps the rent paid.” “Not law?” “No.” Eva lowered herself into the chair. Her hands rested flat beside the folder, as if she had learnt not to fidget in rooms where other people needed answers. Rory sat opposite her. “You used to say you’d never wear a suit.” “I used to say a lot of things.” “You used to say you’d never live past thirty.” “That was before thirty started looking like a practical problem.” This time Rory smiled, but Eva only looked down at her hands. A pale mark crossed one knuckle, a thin line that Rory didn’t remember. Silas returned with a cup of tea and a gin. He placed them on the table without asking which belonged to whom. Rory’s tea steamed between them. “On the house,” he said, and tapped the table once with his ringed hand. Eva lifted her glass. “Thank you.” Silas gave Rory a look that held a question and no demand. She answered with the smallest nod. He went back to the bar. Eva took a drink. “I thought you’d be taller.” “You’ve always been terrible at remembering measurements.” “I remembered the train platform.” Rory looked into her tea. The surface trembled when a bus went by outside. “You put me on the train,” she said. “I bought the ticket.” “You handed it to me.” “You told me not to come.” “You said you’d follow the next week.” Eva’s fingers closed around the stem of her glass. “I did.” “You didn’t.” “No.” There it was: two words, clean as a cut. Rory let them sit between the cups. “I waited,” Eva said. “Not at the station. I mean, after. I thought you’d call once you got settled.” “I called.” “Once.” “Twice.” “I didn’t get the second one.” “I left a message with your mother.” Eva’s eyes rose. “She never told me.” “Maybe she forgot.” “She didn’t forget things.” Rory held her gaze. The old argument took shape in the space left by their years apart, familiar enough to step into and dangerous enough to avoid. Eva lifted her gin again, then set it down untouched. “I’m sorry.” Rory’s thumb found the scar on her wrist. “For what?” “For all of it.” “That’s a wide net.” “I know.” “You asked me to come here. I came.” “I know that too.” “You gave me a ticket and told me there was a spare room.” “There was.” “Then you didn’t follow.” Eva’s shoulders drew tight beneath her coat. “My mother got sick. I kept thinking I’d go once things calmed down. Then the flat needed work, and I had exams, and I had a job I couldn’t leave. After a while, every excuse sounded like a reason.” Rory watched her turn the glass by its base. The movement was precise. Once, Eva had never managed to keep still through a whole meal. “You could have told me,” Rory said. “I could have.” “I thought you’d changed your mind about me.” “I thought you were glad to be rid of me.” Rory leaned back. “Why would you think that?” “Because you stopped answering.” “I was working two jobs. I was trying to sleep without checking the lock every time somebody walked past my door.” Eva’s hand stopped on the glass. Rory’s voice had stayed level. She heard the words after they had left her and looked toward the window, where rain warped the neon green into long strokes. “I knew about Evan,” Eva said. “You knew what I told you.” “I knew enough.” “You knew the version I could say out loud.” Eva lowered her eyes. “I should have come.” “You were in Cardiff.” “I could have come.” “You had your mother. Your course. A life I’d asked you to leave alone.” “You didn’t ask me to leave you alone.” Rory’s jaw tightened. She wanted to deny it, but the old platform returned: Eva in a red scarf, one palm pressed against the train window after Rory had boarded; Rory staring at the seat opposite, waiting for Eva to appear with her bag. She had watched the doors close and called that a choice. “I didn’t know what to ask for,” Rory said. Eva’s face softened, then guarded itself again. “I thought you needed a door.” “I did.” “I thought that was all.” Rory stirred her tea though she hadn’t added sugar. The spoon clicked against the cup. “I didn’t know how to be your friend after that,” Eva said. “Every message felt like a question I had no right to ask. Were you safe? Were you eating? Had you left him? I wrote them, then deleted them. It seemed cruel to demand an answer from someone who’d just managed to escape.” “You could have sent one.” “I know.” “You could have sent ten.” “I know.” Rory looked up. “You sound like a solicitor.” Eva gave a short, humourless laugh. “Occupational hazard.” “What happened to the girl who climbed out of the school toilets to skip assembly?” “She got tired.” “You used to climb out of every window.” “I learnt which windows had alarms.” The joke landed between them without easing anything. Eva rubbed a thumb over the edge of her folder. Rory remembered that habit too, though Eva had once used it on the corner of a bus ticket, a library card, anything she could worry soft. “I kept thinking I’d see you,” Eva said. “In Cardiff. On the bus. Outside the shop where we used to steal those awful iced buns.” “You didn’t steal them. You forgot to pay.” “I was sixteen. That counts as theft.” “You were twenty.” Eva lifted her glass. “Then I had no defence.” Rory looked at the folder. “What brought you here?” “A meeting nearby. It finished early.” “And you came in for gin?” “I came in because the rain started.” Eva glanced around the bar, at the old maps and black-and-white photographs. “Then I heard you.” “From across the room?” “I’d know that voice anywhere.” The words sounded too close to affection, and Eva seemed to hear it. She reached for her glass, missed the stem, then caught it. Rory watched the small correction. “You don’t have to make this neat.” “I’m not making it neat.” “You’ve got the folder lined up with the table edge.” Eva looked down. She moved it half an inch, leaving it crooked. “I missed you,” she said. Rory’s hand stilled around the cup. The heat had faded. She could have answered at once, could have given Eva the same sentence and watched it settle. Instead she studied the line of her friend’s cropped hair and the careful set of her shoulders. “I missed who we were,” Rory said. Eva nodded once. “That’s not the same thing.” “No.” “Do you miss me?” Rory looked at Eva’s hands, at the pale mark on her knuckle, at the glass she hadn’t drunk from. “I don’t know what I’m allowed to miss.” Eva’s fingers opened on the tabletop. “You’re allowed to miss whatever you miss.” Rory reached for her tea. Her wrist crossed the table’s narrow gap, and the old scar caught the light. Eva’s gaze followed it, then returned to Rory’s face. “What did you want to say to me?” Rory asked. Eva took a breath, and her answer began before either of them moved.
created_at"2026-09-23T09:09:42.865Z" 9/23/2026, 9:09:42 AM
model"openai/gpt-6-luna-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency10869
moderation_latency(null)
generation_time66493
tokens_prompt1063
tokens_completion3202
native_tokens_prompt982
native_tokens_completion4955
native_tokens_completion_images0
native_tokens_reasoning2794
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"
usage0.0025757
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790154582-jj80m0xbFloCPEiQiTz3"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790154582-gu5Ho0nbWHyFuoujea20"
upstream_id"resp_06526a7809ffb4d6016ab397570fc087d18c11120630807511"
provider_responses
0
endpoint_id"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id"resp_06526a7809ffb4d6016ab397570fc087d18c11120630807511"
is_byokfalse
latency898
model_permaslug"openai/gpt-6-luna-20260922"
provider_name"OpenAI"
status200
total_cost0.0025757
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
totalTags17
adverbTagCount1
adverbTags
0"Eva glanced around [around]"
dialogueSentences119
tagDensity0.143
leniency0.286
rawRatio0.059
effectiveRatio0.017
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1701
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)
88.24% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1701
totalAiIsms4
found
0
word"traced"
count1
1
word"trembled"
count1
2
word"familiar"
count1
3
word"affection"
count1
highlights
0"traced"
1"trembled"
2"familiar"
3"affection"
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
narrationSentences109
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount2
narrationSentences109
filterMatches(empty)
hedgeMatches
0"managed to"
1"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences211
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen42
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1701
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions30
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions83
wordCount981
uniqueNames8
maxNameDensity3.67
worstName"Rory"
maxWindowNameDensity7
worstWindowName"Eva"
discoveredNames
Raven1
Nest1
Rory36
Silas6
Housing1
Advice1
Service1
Eva36
persons
0"Raven"
1"Rory"
2"Silas"
3"Eva"
places(empty)
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences66
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1701
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences211
matches
0"called that a"
1"remembered that habit"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs144
mean11.81
std12.21
cv1.033
sampleLengths
043
118
22
317
44
56
643
711
816
911
102
1181
125
131
1412
151
1629
1713
1825
1930
2022
216
224
234
248
2512
265
274
283
2912
307
3118
3210
332
341
3528
3613
378
389
3910
4025
4127
4214
436
4424
459
467
475
4814
498
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences109
matches
0"were gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs179
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences211
ratio0.005
matches
0"She wanted to deny it, but the old platform returned: Eva in a red scarf, one palm pressed against the train window after Rory had boarded; Rory staring at the seat opposite, waiting for Eva to appear with her bag."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount984
adjectiveStacks0
stackExamples(empty)
adverbCount32
adverbRatio0.032520325203252036
lyAdverbCount1
lyAdverbRatio0.0010162601626016261
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences211
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences211
mean8.06
std6.8
cv0.843
sampleLengths
010
116
217
36
412
52
617
74
86
93
1018
117
1215
1311
145
1511
1611
172
1835
197
204
219
2226
235
241
255
262
275
281
295
3024
315
328
3325
345
359
3616
3722
386
394
404
418
423
439
445
454
463
477
485
496
44.79% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.2132701421800948
totalSentences211
uniqueOpeners45
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences95
matches
0"Then the present settled over"
1"Once, Eva had never managed"
2"Instead she studied the line"
ratio0.032
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences95
matches
0"His silver ring caught the"
1"He reached for a clean"
2"Her shoulder-length hair clung to"
3"She rubbed a thumb over"
4"she called to Silas"
5"Her coat had a clean"
6"Her stool scraped the floor."
7"His gaze passed from one"
8"He left them with the"
9"She had a paper folder"
10"Her eyes moved over Rory’s"
11"Her hands rested flat beside"
12"He placed them on the"
13"he said, and tapped the"
14"She answered with the smallest"
15"He went back to the"
16"She heard the words after"
17"She wanted to deny it,"
18"She had watched the doors"
19"She reached for her glass,"
ratio0.242
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount90
totalSentences95
matches
0"Rain ticked against the high"
1"Rory came in with wet"
2"The green neon sign painted"
3"Silas looked up from the"
4"His silver ring caught the"
5"Silas’s mouth shifted."
6"He reached for a clean"
7"Her shoulder-length hair clung to"
8"She rubbed a thumb over"
9"A woman at the table"
10"she called to Silas"
11"The words travelled across the"
12"The curls were gone."
13"A dark crop traced the"
14"Her coat had a clean"
15"Eva stared back at her."
16"The name caught between them."
17"Her stool scraped the floor."
18"Silas set the cloth aside."
19"His gaze passed from one"
ratio0.947
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences95
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences34
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags17
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags14
fancyCount0
fancyTags(empty)
dialogueSentences119
tagDensity0.118
leniency0.235
rawRatio0
effectiveRatio0
87.7676%