Run: 2026-09-23-01M36R46DF11N0FY4ZMVGE20PR

Run Details

Duration:
1m 25s
Cost:
$0.003391
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 silvered the windows of the Raven’s Nest and turned the green neon above the door into a wavering stain on the pavement. Rory came in with her delivery bag cutting a red groove across one shoulder. She dropped it by the bar and peeled off her gloves. Silas watched her rub warmth into her fingers. “Golden Empress still paying you by the mile?” “By the delivery. The miles are between me and them.” “Sounds like a poor arrangement.” “It comes with free dumplings if I’m quick.” Silas put a bowl on the counter. Rory reached for one, then saw the crescent scar on her wrist catch the light as she turned her hand. The skin around it had reddened in the cold. The door opened behind her. A gust pressed the old photographs against the walls. Someone shook rain from a coat. “Rory?” The name came from a voice she knew, though it had lost its old careless swing. Rory stopped with a dumpling between her fingers. Eva stood just inside the door, one hand on the brass handle. Her hair, once a loud copper cloud she’d cut with kitchen scissors, lay close to her head in a neat brown crop. A dark suit shaped her shoulders. Rain had gathered along the lapels. She looked from Rory’s face to the delivery bag and back. For a moment neither of them moved. “Eva.” Eva let go of the handle. “You’re here.” “I am.” “Right.” Eva gave the room a quick glance, as if the maps and photographs might explain the rest. “I didn’t know you came here.” “I live upstairs.” “Since when?” “Long enough to know which floorboards squeak.” Silas set a clean glass on the bar. His gaze passed over Eva’s suit, then settled on Rory. “Friend of yours?” “Old friend,” Rory replied. Eva’s mouth twitched. “That makes me sound dead.” “You look healthier than most of the dead who come in here.” The smile made it as far as Eva’s eyes, then stopped. Rory put the dumpling down. She had pictured this reunion before, though never in a place with low ceilings and a man polishing glasses beside them. In the versions she’d rehearsed, she had either been glad to see Eva or furious with her. She had not expected to feel both at once, with a delivery bag at her feet. Silas placed a glass of water near Eva. “On the house. You look like you’ve walked through the river.” “I came through Soho,” Eva replied. “It was nearly as bad.” Rory leaned against the bar. “What are you doing in Soho?” “Court finished late.” “You work in court now?” “Family law. Solicitor.” Eva tugged the wet cuff of her jacket straight. “You always said you’d be the one in a wig.” “I said I wanted to wear one once.” “You made me try one on in the museum gift shop.” “You looked convincing.” “I looked like a mushroom.” “You looked like a barrister.” Eva lifted the water. “I’ll take the compliment.” Rory studied her face. The old freckles had faded beneath powder. A fine line crossed the skin beside Eva’s mouth, visible when she pressed her lips together. She used to fill silence with plans: stealing her mother’s car, sneaking into the school pool, getting out of Cardiff before anyone could tell them what counted as sensible. Now she held the glass with both hands and waited for Rory to choose the next word. “You cut your hair,” Rory said. “It was getting in the way.” “Of what?” “People recognising me as the girl who used to dye it orange.” “You used to like being recognised.” “I used to like being seventeen.” The answer landed between them without a place to go. Rory glanced at the doorway. Rain moved over the glass in thin, crooked tracks. “Eight years,” Eva said. “Has it been that long since we saw each other?” “Since your results party.” “You left before the cake.” “I had a train.” “You had a row with your dad.” “I had a train after the row with my dad.” Eva drank. “You didn’t tell me you were leaving Cardiff until you were already on it.” “You told me to go.” “I told you to come to London. That’s not the same thing.” Rory’s fingers closed around the edge of the bar. “It was close enough that night.” Eva looked down into her glass. Her thumbnail traced the rim. “I know.” Silas moved away to serve a man at the far end. The maps on the walls had curled at their corners. Rory fixed on a faded street plan of London above Eva’s shoulder, its grid marked with pins she had never asked about. “You were living here already,” Rory said. “Four years.” “And I didn’t see you once.” “You didn’t want to.” “That’s a tidy answer.” “It’s the one I have.” “You had my number.” “I did.” “I had yours.” “You did.” Eva set the glass down. “We were both very good at keeping those numbers.” Rory let out a breath through her nose. “I was busy.” “Delivering food?” “Among other things.” “I didn’t mean—” “I know what you meant.” Eva leaned back from the bar. The old Eva would have nudged Rory’s knee with hers, then kept talking until Rory laughed despite herself. This Eva left the space untouched. “You look different too,” Eva said. “I’ve got a helmet mark in my hair.” “I mean—” “Don’t.” Eva pressed her lips together, then gave a small nod. “All right.” Rory rubbed the scar at her wrist with her thumb. “You said you’d call after I got here.” “I did call.” “Once.” “Three times.” “Three times in the first week.” “You never picked up.” “I was settling in.” “You sent me a photograph of a radiator.” “It was leaking.” “I remember the radiator.” “Then you remember everything.” “I remember enough.” Rory had thought of those calls as part of another life, as messages that belonged to a week when she still slept with her clothes in a heap beside the door. Eva had left a voicemail after each one. The first had been brisk: Tell me you got there. The second had carried the thud of traffic and a question about food. The third had lasted nine seconds. Rory had never listened to it twice. “You sounded different on the phone,” Eva said. “So did you.” “I was at work.” “You were at work every time?” “I was trying to give you room.” “You used to come through windows.” “I used to be a lot of things.” “That’s the point, isn’t it?” Eva’s eyes lifted. For the first time, the carefulness slipped. “I don’t know what point you mean.” Rory’s hand tightened on the bar. A silver signet ring flashed on Silas’s right hand as he reached past her for a bottle. He didn’t look at either of them. “You were the one who told me I could stay with you,” Rory said. “Then you vanished.” “I didn’t vanish.” “You stopped calling.” “I stopped calling when you stopped answering.” “You could have tried harder.” “I could have.” Rory waited for Eva to defend herself. Eva only looked at the glass. A bead of water had run down its side and left a clear track through the dust on the counter. “You had a spare room,” Rory said. “I had a sofa.” “You said spare room.” “I was trying to make it sound better.” “Why?” “Because you sounded frightened.” Rory felt the word in her ribs. She put the dumpling in her mouth and chewed, though it had gone cold. “You didn’t sound frightened to me,” Eva continued. “You sounded angry. So I thought anger was what you wanted from me.” “What did you want to give me?” “To tell you to leave him before he made you smaller than you already felt.” Rory looked at her. Eva’s hands stayed folded around the glass, but her knuckles had blanched. “You knew,” Rory said. “I knew you’d stopped coming out. I knew you’d stopped answering anyone but me. I knew he checked your messages.” Eva’s jaw shifted. “I didn’t know what happened behind a closed door.” “You knew enough.” “Yes.” The bar carried on around them: the scrape of a chair, a burst of laughter near the window, the soft clink of Silas setting down a glass. Rory watched Eva take in each sound without turning her head. “I should have come to Cardiff,” Eva said. “You were in London.” “That was not an answer.” “No. It wasn’t.” Eva looked at Rory then, no careful pause, no polished court face between them. “I thought if I came, you’d tell me to go. You’d done it before.” “I was ashamed.” “I know that now.” “You didn’t know it then.” “No.” Eva’s thumb moved over the glass. “I thought you’d chosen him.” Rory swallowed. The old answer had been ready for years, worn smooth from use: I hadn’t. She had once believed she could say it and make the years between them smaller. Instead she asked: “What do you think now?” Eva held her gaze. “I think you were trying to get through the day.” Rory’s fingers loosened on the bar. “You’ve got very good at choosing words.” “I have to be.” “Because of court?” “Because people remember what you say when they’re scared.” Eva glanced at Rory’s wrist. “And because the wrong sentence can close a door.” Rory pulled her hand back, scar hidden beneath her sleeve. “You used to kick doors open.” “I used to think that was the same as helping.” “You used to be loud.” “I still am, with the right people.” “Who are they?” Eva didn’t answer. Her eyes moved to the delivery bag, its reflective strip catching the bar’s amber light. “Golden Empress,” she said. “You work for them?” “Part-time.” “What happened to the law?” “Nothing. I happened to it.” “You got through university.” “I got through the lectures. I left before the part where I became my father.” “You didn’t want to become him when we were sixteen.” “I didn’t want to become anyone when we were sixteen.” Eva’s mouth tightened. “You were good at it.” “At what?” “Making a plan for everyone else.” “And you were good at leaving.” “I stayed in London.” “Same thing, sometimes.” Silas set down a small plate beside Rory’s bowl. “Food’s better hot.” Rory nodded. Eva looked at the plate, then at Silas. “Do you feed all your tenants?” “Only the ones who return with empty bags.” “I returned with one empty bag,” Rory said. “Exactly.” Silas went back to the bottles. Eva waited until he had moved out of earshot. “Are you all right here?” she asked. Rory gave her a flat look. “That’s your first question?” “It’s the one I have.” “You’ve had years to prepare a better one.” “I wasn’t preparing for this.” “You looked prepared when you walked in.” “I was on my way home from work.” “You used to come into a room like you’d stolen it.” “And you used to pretend not to be pleased when I did.” Rory looked at her. The suit, the clipped hair, the careful hands: all the things that had seemed like proof of Eva’s distance now sat inside that last sentence, not cancelling it, only crowding it. Eva’s glass stood empty. Silas caught Rory’s eye from behind the bar and lifted the bottle in silent question. Rory shook her head. “You can have something stronger,” she told Eva. “I’m fine with water.” “You hate water.” “I grew up.” “Since when?” Eva considered the glass. “Since I spent a year in court watching people mistake a drink for an answer.” “You always did hate a straight answer.” “I still do.” “Then tell me this one. When you told me to come to London, did you want me here?”
created_at"2026-09-23T09:04:10.684Z" 9/23/2026, 9:04:10 AM
model"openai/gpt-6-luna-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency12118
moderation_latency(null)
generation_time85083
tokens_prompt1063
tokens_completion3594
native_tokens_prompt982
native_tokens_completion6585
native_tokens_completion_images0
native_tokens_reasoning4049
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"
usage0.0033907
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790154250-b8mWW08RmDDgM3MYoVSs"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790154250-jeJCjucitShZIYsFsQ1n"
upstream_id"resp_07412a254fe31601016ab3960add4887d1a74d2948790e7984"
provider_responses
0
endpoint_id"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id"resp_07412a254fe31601016ab3960add4887d1a74d2948790e7984"
is_byokfalse
latency1127
model_permaslug"openai/gpt-6-luna-20260922"
provider_name"OpenAI"
status200
total_cost0.0033907
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
totalTags21
adverbTagCount0
adverbTags(empty)
dialogueSentences173
tagDensity0.121
leniency0.243
rawRatio0
effectiveRatio0
94.95% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1982
totalAiIsmAdverbs2
found
0
adverb"very"
count2
highlights
0"very"
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)
89.91% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1982
totalAiIsms4
found
0
word"wavering"
count1
1
word"warmth"
count1
2
word"silence"
count1
3
word"traced"
count1
highlights
0"wavering"
1"warmth"
2"silence"
3"traced"
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
emotionTells0
narrationSentences116
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences116
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences268
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
totalWords1982
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions35
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions104
wordCount1026
uniqueNames9
maxNameDensity4.29
worstName"Eva"
maxWindowNameDensity6.5
worstWindowName"Eva"
discoveredNames
Raven1
Nest1
Rory41
Silas11
Eva44
Cardiff1
London1
Tell1
Rain3
persons
0"Raven"
1"Rory"
2"Silas"
3"Eva"
4"Rain"
places
0"Cardiff"
1"London"
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
totalMatches0
per1kWords0
wordCount1982
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences268
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs189
mean10.49
std12.07
cv1.151
sampleLengths
048
18
28
310
45
58
636
720
81
924
1057
117
121
138
142
1524
163
172
187
1918
203
214
228
2312
2470
258
2611
2711
2811
293
305
3122
328
3311
343
355
365
378
3873
396
406
412
4212
436
446
4524
4614
474
485
494
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences116
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs182
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences268
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1026
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.01949317738791423
lyAdverbCount2
lyAdverbRatio0.001949317738791423
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences268
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences268
mean7.4
std5.25
cv0.71
sampleLengths
023
114
211
38
48
510
65
78
87
920
109
115
129
136
141
1516
168
1712
1822
196
206
2111
227
231
246
252
262
2718
286
293
302
317
328
3310
343
354
363
375
3812
3911
405
4121
4217
4316
448
4511
466
475
485
496
44.03% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats16
diversityRatio0.23507462686567165
totalSentences268
uniqueOpeners63
34.01% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences98
matches
0"Instead she asked:"
ratio0.01
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount13
totalSentences98
matches
0"She dropped it by the"
1"Her hair, once a loud"
2"She looked from Rory’s face"
3"His gaze passed over Eva’s"
4"She had pictured this reunion"
5"She had not expected to"
6"She used to fill silence"
7"Her thumbnail traced the rim."
8"He didn’t look at either"
9"She put the dumpling in"
10"She had once believed she"
11"Her eyes moved to the"
12"she told Eva"
ratio0.133
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount93
totalSentences98
matches
0"Rain silvered the windows of"
1"Rory came in with her"
2"She dropped it by the"
3"Silas watched her rub warmth"
4"Silas put a bowl on"
5"Rory reached for one, then"
6"The skin around it had"
7"The door opened behind her."
8"A gust pressed the old"
9"Someone shook rain from a"
10"The name came from a"
11"Rory stopped with a dumpling"
12"Eva stood just inside the"
13"Her hair, once a loud"
14"A dark suit shaped her"
15"Rain had gathered along the"
16"She looked from Rory’s face"
17"Eva let go of the"
18"Eva gave the room a"
19"Silas set a clean glass"
ratio0.949
51.02% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences98
matches
0"Now she held the glass"
ratio0.01
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences39
technicalSentenceCount2
matches
0"She used to fill silence with plans: stealing her mother’s car, sneaking into the school pool, getting out of Cardiff before anyone could tell them what counted…"
1"The suit, the clipped hair, the careful hands: all the things that had seemed like proof of Eva’s distance now sat inside that last sentence, not cancelling it,…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags21
uselessAdditionCount1
matches
0"Eva gave, as if the maps and photographs might explain the rest"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags16
fancyCount1
fancyTags
0"Eva continued (continue)"
dialogueSentences173
tagDensity0.092
leniency0.185
rawRatio0.063
effectiveRatio0.012
87.1309%