Run: 2026-09-23-01M36R516HN2XVYGR5SAK1610M

Run Details

Duration:
1m 19s
Cost:
$0.003050
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 followed Rory through the door of the Raven’s Nest, ticking from her jacket onto the mat. The green neon outside broke across the wet glass and laid a crooked stripe over the old maps. She shifted the Golden Empress delivery bag off her shoulder. Her wrists ached from the handlebars. Silas looked up from a row of clean glasses. His silver signet ring caught the light. “Last order get lost?” “Last order found its way to a man who’d forgotten he’d ordered it.” Rory hung the bag by its strap. “He blamed the restaurant.” “An old London custom.” She rubbed the crescent scar on her left wrist, then stopped when she saw the woman at the end of the bar. The woman held a glass of soda water with a lime wedge pinned against the rim. Her hair, once a thick russet curtain she’d flung over her shoulder, now lay close to her scalp, dark and silver at the temples. She wore a charcoal coat buttoned to the throat. Her hands rested beside the glass, still as folded paper. Rory knew the shape of her face before she recognised the eyes. “Eva?” Eva turned. For one second, her mouth opened without sound. Then she stood, and the stool scraped the floor. “Rory.” They met halfway. Eva’s arms rose as if by habit, then stopped short of Rory’s shoulders. Rory closed the distance herself. The embrace lasted a breath. Eva smelled of rain and soap, nothing of the clove cigarettes she used to steal from her older cousin. “You cut your hair,” Rory said. “Years ago.” “Right. I missed the announcement.” “I sent a photograph.” “You sent a photograph of a dog in a raincoat.” “That was the same day.” The old rhythm flickered between them, familiar enough to sting. Eva’s smile arrived late and stayed small. Silas set a glass on the bar in front of Rory. “Your usual.” “Tea?” “You’ll have to ask the kettle.” She slid onto the stool beside Eva. Their shoulders didn’t touch. In the mirror behind the bar, Rory caught the two of them in fragments: her wet hair, Eva’s pale face, the long gap between their elbows. “How long?” Eva asked. “Since I saw you?” “Since Cardiff.” Rory watched the lime wedge turn in Eva’s glass. “Six years.” “Seven.” “Was it?” “Your twenty-first birthday was seven years ago.” “You remember my birthday.” “I remember the day. You tried to cut your own fringe before the party.” “It had been a bad fringe.” “It had been a bad pair of scissors.” Silas placed a mug of tea in front of Rory and moved down the bar. His limp made a soft catch in his step. Eva waited until he reached the far end. “I didn’t know you worked here,” she said. “I live upstairs. The job’s convenient.” “Above the bar?” “Above the bar.” Eva looked toward the ceiling. “You used to say you’d never live over a place where people could sing after midnight.” “I used to say a lot of things.” “That you’d be a barrister by twenty-six.” Rory lifted the mug. Heat warmed her hands. “I was ambitious at nineteen.” “You were terrified at nineteen.” “Both can fit in the same person.” Eva turned the glass between her palms. The lime left a wet crescent on the counter. “I came in because I had an interview near Charing Cross,” she said. “It finished early. I saw the sign.” “Still green.” “I thought you might be here.” “But you didn’t know I was.” “No.” A couple at the far table laughed over a deck of cards. Someone dropped a spoon. The bar swallowed the small sounds and returned them softened. Rory leaned her hip against the counter. “What was the interview for?” “Community housing. Casework.” “Not teaching?” “I never wanted to teach.” “You always stole your mum’s marking pen and pretended to grade my homework.” “I liked the red pen.” Eva took a drink of soda water. Her throat moved. The glass came down without a clink. Rory glanced at it. “You still don’t drink?” “Not since Cardiff.” Rory remembered Eva at the back of the school hall, red cheeks, a borrowed bottle tucked beneath her coat. Eva could make a dull evening feel like a dare. She’d laughed with her whole body, knocked over chairs, dragged Rory into whatever room had a locked door. That girl had never held a glass as if it needed careful handling. “How long?” Rory asked. “Five years.” “I didn’t know.” “I didn’t tell you.” “Why not?” Eva’s fingers found the paper napkin beneath her glass. She worried one corner into a tight roll. “You weren’t answering much by then.” “I answered.” “Not when I asked if you were safe.” Rory put her mug down. A dark line of tea clung to its inside. “You asked if I was coming home.” “I asked if you were safe.” “Maybe I heard the wrong question.” “Maybe you wanted to.” Rory looked at her. Eva had always spoken quickly when she was angry, words tumbling over each other until they made a wall. Now she left spaces between them. Each pause seemed chosen. “You told me to come to London,” Rory said. “I did.” “You said I could stay with you.” “I meant it.” “I got here, and you weren’t there.” Eva’s hand tightened around the napkin. The paper tore under her thumb. “My mother fell in the kitchen that morning. I caught the first train back to Cardiff.” “I know that now.” “I left the key with Mrs Patel downstairs.” “There was no key.” “Rory—” “I waited outside your building until dark. Then I found a hostel.” “I was in the hospital with my mother. I called you from the corridor.” Rory’s eyes moved to the scar on her wrist. She pressed her thumbnail into its pale curve. “I saw the missed call the next morning.” “And the message?” “I saw that too.” Eva’s face held steady, but her thumb kept working at the ruined napkin. “I wrote that I’d be back the next day,” she said. “You wrote that you were sorry.” “I was.” “You didn’t write that you’d be back.” Eva looked down at the torn paper. “I thought I did.” “Maybe you wanted to.” This time Eva received the words without flinching. She folded the napkin into a narrow strip, then flattened it. Silas passed behind them with a tray. His shoulder brushed Rory’s. He set a bowl of salted almonds on the bar and continued toward the tables. “I came back the next day,” Eva said. “You were gone.” “I’d found a room.” “You could’ve called.” “So could you.” “I did.” “After that.” Eva looked at Rory’s left wrist. “I thought you wanted me to leave you alone.” Rory’s mouth tightened. “I wanted you to come after me.” The words sat between them. Rory reached for her tea. It had cooled enough to drink, but she held the mug without lifting it. Eva’s gaze stayed on the scar. “I didn’t know.” “I know.” “I should have known.” “You were twenty-one. Your mother was sick. You had your own mess.” “That doesn’t make it better.” “No.” Rory rubbed the rim of the mug with one finger. “It makes it what happened.” Eva let out a breath through her nose. “You sound like your father.” “That’s the worst thing anyone’s said to me tonight.” “I thought you liked him.” “I did. I also knew him.” For the first time, Eva’s smile reached her eyes, though it vanished before Rory could answer it. She sat back on the stool. The years showed not in the lines of her face but in the way she kept her coat buttoned, in the patience with which she let silence settle instead of rushing to fill it. “What changed?” Rory asked. “You, I mean.” Eva glanced toward the green-lit window. “I stopped mistaking noise for being alive.” Rory remembered the girl who had climbed the railings above the Taff and shouted songs at passing trains. The girl who had once slept in Rory’s bed after a fight with her mother, talking until dawn and falling asleep with one hand twisted in Rory’s sleeve. “That sounds like something you say in an interview.” “It was a good interview answer.” “Did you believe it?” “Some days.” Eva looked into her soda water. Bubbles clung to the glass, small and bright, then disappeared. “After Mum got worse, I went back to Cardiff,” she said. “After she died, I stayed. Then I left. Then I stayed somewhere else. I got good at packing one bag.” Rory didn’t ask where the bag had taken her. The answer would have made the years into a list, and she could already feel the list gathering: addresses, jobs, brief explanations, all the places where one might have written and hadn’t. “You could’ve found me,” Rory said. “I did.” “When?” “Once. Your number changed.” “That was Evan.” Eva’s expression hardened at the name. “I thought he’d made you change it.” “He did.” “And I thought—” “You thought I’d call when I was ready.” “I thought you’d call when you wanted me.” Rory pressed her palm against the bar. The wood held the warmth of other hands, other evenings. “I wanted you,” she said. “I just didn’t know how to ask without hearing your answer before you gave it.” Eva’s fingers stopped moving. “What answer did you think I’d give?” “That you were busy. That I’d waited too long. That I’d made a mess of my own life and expected you to clean it up.” “I would’ve come.” “You didn’t.” “No.” Eva lifted her glass, then set it down without drinking. “I didn’t.” Silas called an order to the kitchen hatch. Rory turned toward the sound, grateful for the brief task of listening. A plate slid onto the counter. The kitchen door swung shut. When she faced Eva again, Eva had pulled the torn napkin apart and was smoothing both pieces side by side. “Do you still have the number?” Eva asked. “Whose?” “Mine.” Rory looked at her, then at the two strips of paper beneath Eva’s hand. “I don’t know,” she said. “I might.”
created_at"2026-09-23T09:04:38.107Z" 9/23/2026, 9:04:38 AM
model"openai/gpt-6-luna-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency7408
moderation_latency(null)
generation_time79433
tokens_prompt1063
tokens_completion3246
native_tokens_prompt982
native_tokens_completion5904
native_tokens_completion_images0
native_tokens_reasoning3713
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"
usage0.0030502
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790154278-YcMiPK8aOhBMDwaVpUYy"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790154278-sZHJrOhAX58Yj5sRoGzU"
upstream_id"resp_0d0a8faac2f5e276016ab3962665c487d1bc12772b96510190"
provider_responses
0
endpoint_id"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id"resp_0d0a8faac2f5e276016ab3962665c487d1bc12772b96510190"
is_byokfalse
latency4444
model_permaslug"openai/gpt-6-luna-20260922"
provider_name"OpenAI"
status200
total_cost0.0030502
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
adverbTagCount0
adverbTags(empty)
dialogueSentences135
tagDensity0.126
leniency0.252
rawRatio0
effectiveRatio0
97.06% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1703
totalAiIsmAdverbs1
found
0
adverb"quickly"
count1
highlights
0"quickly"
80.00% AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0"Blackwood"
found
0"Patel"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
88.26% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1703
totalAiIsms4
found
0
word"flickered"
count1
1
word"familiar"
count1
2
word"silence"
count1
3
word"warmth"
count1
highlights
0"flickered"
1"familiar"
2"silence"
3"warmth"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"let out a breath"
count1
highlights
0"let out a breath"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences110
matches
0"was angry"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences110
filterMatches
0"feel"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences228
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1703
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions31
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions79
wordCount991
uniqueNames8
maxNameDensity3.53
worstName"Rory"
maxWindowNameDensity5.5
worstWindowName"Eva"
discoveredNames
Rory35
Raven1
Nest1
Golden1
Empress1
Eva34
Taff1
Silas5
persons
0"Rory"
1"Raven"
2"Nest"
3"Eva"
4"Silas"
places(empty)
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences76
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.587
wordCount1703
matches
0"not in the lines of her face but in the way she kept her coat buttoned, in the patience with"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences228
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs158
mean10.78
std11.49
cv1.066
sampleLengths
051
116
24
324
44
522
659
712
81
919
101
1145
126
132
145
154
1610
175
1817
1911
202
211
226
2337
244
254
262
2711
281
292
307
314
3214
336
348
3532
368
376
383
393
4021
418
427
4313
445
457
4616
4720
482
496
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences110
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs174
matches
0"was smoothing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences228
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount992
adjectiveStacks0
stackExamples(empty)
adverbCount19
adverbRatio0.019153225806451613
lyAdverbCount1
lyAdverbRatio0.0010080645161290322
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences228
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences228
mean7.47
std5.6
cv0.75
sampleLengths
017
118
210
36
49
57
64
720
84
94
1022
1116
1224
139
1410
1512
161
172
188
199
201
213
2213
235
245
2519
266
272
285
294
3010
315
3210
337
3411
352
361
376
387
394
4026
414
424
432
449
452
461
472
487
494
42.54% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats17
diversityRatio0.25877192982456143
totalSentences228
uniqueOpeners59
35.09% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences95
matches
0"Then she stood, and the"
ratio0.011
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences95
matches
0"She shifted the Golden Empress"
1"Her wrists ached from the"
2"His silver signet ring caught"
3"She rubbed the crescent scar"
4"Her hair, once a thick"
5"She wore a charcoal coat"
6"Her hands rested beside the"
7"They met halfway."
8"She slid onto the stool"
9"Their shoulders didn’t touch."
10"His limp made a soft"
11"Her throat moved."
12"She’d laughed with her whole"
13"She worried one corner into"
14"She pressed her thumbnail into"
15"She folded the napkin into"
16"His shoulder brushed Rory’s."
17"He set a bowl of"
18"It had cooled enough to"
19"She sat back on the"
ratio0.211
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount89
totalSentences95
matches
0"Rain followed Rory through the"
1"The green neon outside broke"
2"She shifted the Golden Empress"
3"Her wrists ached from the"
4"Silas looked up from a"
5"His silver signet ring caught"
6"Rory hung the bag by"
7"She rubbed the crescent scar"
8"The woman held a glass"
9"Her hair, once a thick"
10"She wore a charcoal coat"
11"Her hands rested beside the"
12"Rory knew the shape of"
13"They met halfway."
14"Eva’s arms rose as if"
15"Rory closed the distance herself."
16"The embrace lasted a breath."
17"Eva smelled of rain and"
18"The old rhythm flickered between"
19"Eva’s smile arrived late and"
ratio0.937
52.63% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences95
matches
0"Now she left spaces between"
ratio0.011
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences35
technicalSentenceCount2
matches
0"Eva’s arms rose as if by habit, then stopped short of Rory’s shoulders."
1"The girl who had once slept in Rory’s bed after a fight with her mother, talking until dawn and falling asleep with one hand twisted in Rory’s sleeve."
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)
dialogueSentences135
tagDensity0.104
leniency0.207
rawRatio0
effectiveRatio0
86.5194%