Run: 2026-09-23-01M36P2E47BZ6MF9XMQMFNBSTN

Run Details

Duration:
45.9s
Cost:
$0.001621
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
The green neon sign over the door threw a narrow stripe across the window. Rain had turned the Soho pavement black, and each time the door opened, the street came in with it: wet wool, exhaust, the hiss of tyres. Rory set her empty delivery bag beneath the bar and peeled off one glove. A crescent scar showed on her left wrist when she pushed back her sleeve. The skin there pulled tight in the cold. “Yu-Fei’s sent you out in that weather again,” Silas said, polishing a glass. “She pays me in dumplings when the weather’s worse.” “An exploitative arrangement.” “She calls it staff welfare.” Silas’s mouth bent at one corner. He leaned on his left leg, sparing the bad knee, and glanced towards the door as it opened. A woman stepped inside, shook rain from the shoulders of her coat, then stopped beneath the old black-and-white photograph of a boxer with one eye closed. She had cropped her hair close to the jaw, with a pale slash of grey above one ear. Her coat fit as if someone had taught it to stand at attention. She scanned the bar, then found Rory. For a moment, neither of them moved. “Eva?” The woman’s hand stayed on the strap of her bag. “Rory.” Rory’s glove slipped from her fingers and landed beside the delivery bag. Eva came nearer. The heels of her boots clicked against the floorboards. She had lost the roundness of her face; the bones beneath her eyes had sharpened. Even her smile seemed pared down, held in place by practice. “You cut your hair,” Rory said. “So did you.” Rory touched the ends of her black hair, which brushed her shoulders. “Not since you last saw me.” “I know.” Silas set the glass aside. “You know each other?” “From Cardiff,” Rory said. “From before Cardiff,” Eva added. “From before we knew what a student loan was.” Silas gave Eva a look that measured the room around her as much as her face. “Drink?” “Whisky, please. Neat.” “You still hate whisky,” Rory said. “I used to hate the taste.” Silas reached for a bottle. “People change.” Eva’s eyes flicked to him. “That’s the theory.” He poured and set the glass down without asking a second question. Rory watched Eva lift it. She held the glass by its base, careful not to leave fingerprints on the bowl. “You’re here,” Rory said. “I am.” “In London.” “I got that far.” Rory let out a breath that might have been a laugh. It caught at the edge. “I didn’t know you were here.” “I’ve been here six months.” “Six months.” Eva tasted the whisky. Her face stayed composed, but her fingers tightened around the glass. “Do you want to tell me why you didn’t call?” “I thought you’d be angry.” “Good start.” Eva looked down at the amber in her glass. “I was going to call.” “When?” “I don’t know. When I had a better reason.” “You had my number.” “I had three numbers for you.” “And an address.” “Your parents’ address.” “My parents were still there.” “I know.” Rory leaned against the bar. Silas resumed polishing, though the same spot on the glass had gone clear. The room’s other customers kept to their own tables, their voices sinking beneath the low music and the rain at the windows. “You told me to come here,” Rory said. “You said you’d make room. You said I could sleep on your floor until I found work.” “I did.” “I got to London with two bags and forty pounds. I called you from the station.” Eva’s jaw tightened. “I remember.” “You didn’t answer.” “I saw the call.” “Then you texted me the name of a hostel.” “It was close to the station.” “It was full.” “I didn’t know.” “You could’ve come.” Eva set the glass down. “Yes.” The word sat between them without shelter. Rory looked at the neat part in Eva’s hair, the grey bright under the bar’s low lamps. “What happened to you?” Eva picked up the whisky again, then put it down without drinking. “My mother got sick.” Rory’s shoulders lowered a fraction. “When?” “Two weeks before you called.” “You never told me.” “You’d already left Evan. I thought you needed to get out. I didn’t want to call and make you responsible for something else.” “That wasn’t your choice to make.” “No.” “You were the one who said I should stop making myself smaller to keep other people comfortable.” “I remember saying that.” “You were good at saying it.” Eva’s thumb travelled around the rim of the glass. “I was better at it when it wasn’t my own life.” Rory turned her bare wrist beneath the bar light. The old crescent scar caught a thin line of gold from the shelf behind Silas. “Your mother,” she said. “Is she all right?” “She died last winter.” The rain tapped at the window. Silas’s hand paused on the glass, then moved again. “I’m sorry.” “Thank you.” “Were you with her?” “Every day for the last year.” Eva looked at Rory. “I cut my hair because she used to hate it short. She said it made me look like a boy, and she didn’t raise a boy.” Rory gave a short, involuntary laugh. “She told me once you’d look like a boy in a sack.” “She was fond of you.” “She gave me a lecture about my hemline.” “She was fond of you in a complicated way.” “Most people are.” That drew a real smile from Eva, brief and tired. “You still do that.” “Do what?” “Turn a complaint into a joke before anyone can answer it.” Rory folded the fallen glove in half, then half again. “And you still notice things nobody asked you to notice.” “I got paid for it.” “What do you do?” “Planning permission. Heritage buildings. A lot of people who want to knock down things their grandparents built.” “You’re an architect?” “Surveyor. Less glamorous. More damp.” “You hated buildings.” “I hated the idea that buildings mattered more than people.” “And now?” “Now I know damp can kill people.” Rory studied her. “That’s a bleak career pivot.” “London’s full of them.” Silas placed a clean glass beside Rory’s hand. “You’ve both had a long evening.” “Have we?” Eva asked. “You walked in with rain on your coat and a story you’ve carried for months.” “Six months,” Rory said. “Then I’ve saved you from counting it wrong.” Silas left them with the bottle and moved to the far end of the bar. His slight limp marked each step, steady as a quiet clock. Eva shifted onto the stool beside Rory. “I didn’t come here to ask you to forgive me.” “Good.” “I came because I saw your name on a delivery receipt at Golden Empress. The owner mentioned you’d been working the Soho route.” “You’ve been asking after me?” “I asked one question.” “You could’ve asked another.” “I know.” “You could’ve come here.” “I know.” Rory looked across the room at Silas. He watched the entrance in the reflection of a framed map, his face turned towards a customer who had called for another pint. The Raven’s Nest had never been a place where a person could hide from being seen. “Did you follow me?” Rory asked. “No. I had a meeting nearby. I saw the green sign and remembered you said you liked the place with the maps.” “I said I liked the photographs.” “You said the maps were more honest.” “I was seventeen. I thought every object had to confess something.” “You still think that.” “Do I?” “You chose a bar covered in old wars.” “Silas chose the wallpaper.” “Convenient.” “Very.” Eva turned towards her, and the sharpness in her face eased. “I was afraid you’d look at me and see the person who left you outside the station.” “I did.” Eva nodded once. “Fair.” “I also saw the person who got me here in the first place.” “I didn’t get you here. You got yourself here.” “You sent the train fare.” “Half of it.” “The rest came from selling my law books.” “You hated those books.” “I hated law.” “You hated being told it was the sensible choice.” Rory pressed her thumb against the scar on her wrist. “You remember a lot for someone who didn’t call.” “I remember all of it. That was the problem.” Eva’s glass stood untouched between them. The whisky caught the light from the green sign outside, a thin colour at its edge. “What did you want to say tonight?” Rory asked. Eva drew in a breath, then let it go through her nose. “That when you called from the station, I was sitting beside my mother’s bed. She’d had a seizure. I saw your name on the screen and thought, I’ll call back once I know she’s safe.” “And she wasn’t.” “No.” “And then?” “Then there was another hospital. Then a diagnosis. Then months of forms and appointments, and my brother stopped answering his phone. I made a list of things I’d call you about. I kept moving your name down it.” Rory’s folded glove creased in her fist. “You could’ve said that later.” “I know.” “You could’ve said it the next week. The next month. Any time before I stopped waiting.” Eva met her eyes. “I know.” Rory waited for the explanation to improve. It didn’t. “I’m not asking you to make it all right,” Eva said. “I just didn’t want the last thing between us to be a missed call.” “It wasn’t the last thing,” Rory said. “You kept sending me birthday messages.” “Two.” “Three.” “One was a card.” “It had a message inside.” “It said ‘hope you’re well.’” “That counts.” “It doesn’t count as talking.” “No,” Rory said. “It doesn’t.” Eva lowered her gaze. Her hand rested near Rory’s on the bar, close enough that either of them could have moved. Neither did. “What did you write in the card?” Rory asked. Eva’s mouth opened, then closed. She looked towards the door, where the rain blurred the green sign into the glass. “I wrote that I missed you,” she said. “Then I crossed it out because it sounded like I was asking you to do something with it.” Rory turned the folded glove over in her palm. “You could’ve let me decide what to do with it.” “I know.” A customer called for Silas. He answered without looking away from them, and the bar kept moving around their silence: glass against wood, a chair dragged back, rain finding the window frame. Rory slid the glove across the counter until it touched Eva’s hand. “Tell me what you would’ve said if you’d left it in.”
created_at"2026-09-23T08:28:15.885Z" 9/23/2026, 8:28:15 AM
model"openai/gpt-6-luna-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency13250
moderation_latency(null)
generation_time45830
tokens_prompt1063
tokens_completion2871
native_tokens_prompt982
native_tokens_completion3046
native_tokens_completion_images0
native_tokens_reasoning734
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"
usage0.0016212
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790152095-7rdaNqmYJnqYBY1bmRRX"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790152095-5JWJuK2BSa2tJg1rh36m"
upstream_id"resp_050b9ba49fb30686016ab38d9ff67487d1b978892d7dff3024"
provider_responses
0
endpoint_id"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id"resp_050b9ba49fb30686016ab38d9ff67487d1b978892d7dff3024"
is_byokfalse
latency718
model_permaslug"openai/gpt-6-luna-20260922"
provider_name"OpenAI"
status200
total_cost0.0016212
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
totalTags18
adverbTagCount0
adverbTags(empty)
dialogueSentences159
tagDensity0.113
leniency0.226
rawRatio0
effectiveRatio0
97.20% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1786
totalAiIsmAdverbs1
found
0
adverb"very"
count1
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)
80.40% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1786
totalAiIsms7
found
0
word"scanned"
count1
1
word"measured"
count1
2
word"flicked"
count1
3
word"comfortable"
count1
4
word"the last thing"
count2
5
word"silence"
count1
highlights
0"scanned"
1"measured"
2"flicked"
3"comfortable"
4"the last thing"
5"silence"
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
narrationSentences93
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences93
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences234
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen38
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1786
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions48
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions74
wordCount814
uniqueNames6
maxNameDensity4.18
worstName"Rory"
maxWindowNameDensity6.5
worstWindowName"Rory"
discoveredNames
Soho1
Silas12
Rory34
Eva25
Raven1
Nest1
persons
0"Silas"
1"Rory"
2"Eva"
3"Raven"
4"Nest"
places
0"Soho"
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences56
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1786
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences234
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs172
mean10.38
std10.55
cv1.016
sampleLengths
040
136
213
39
43
55
624
764
87
91
1011
1112
1238
136
143
1518
162
179
184
1914
2017
213
226
236
247
258
2632
274
282
292
304
3122
325
332
3415
3510
365
372
3814
391
409
414
426
433
443
455
462
4740
4825
492
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences93
matches
0"being seen"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs145
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences234
ratio0.004
matches
0"She had lost the roundness of her face; the bones beneath her eyes had sharpened."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount816
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.02696078431372549
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences234
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences234
mean7.63
std6.13
cv0.803
sampleLengths
014
126
214
314
48
513
69
73
85
96
1018
1126
1218
1313
147
157
161
1710
181
1912
203
219
2215
2311
246
253
2612
276
282
295
304
314
325
339
3416
351
363
376
386
395
402
415
423
4312
445
4515
464
472
482
494
43.59% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats15
diversityRatio0.24358974358974358
totalSentences234
uniqueOpeners57
44.44% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences75
matches
0"Even her smile seemed pared"
ratio0.013
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount14
totalSentences75
matches
0"He leaned on his left"
1"She had cropped her hair"
2"Her coat fit as if"
3"She scanned the bar, then"
4"She had lost the roundness"
5"He poured and set the"
6"She held the glass by"
7"It caught at the edge."
8"Her face stayed composed, but"
9"His slight limp marked each"
10"He watched the entrance in"
11"Her hand rested near Rory’s"
12"She looked towards the door,"
13"He answered without looking away"
ratio0.187
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount73
totalSentences75
matches
0"The green neon sign over"
1"Rain had turned the Soho"
2"Rory set her empty delivery"
3"A crescent scar showed on"
4"The skin there pulled tight"
5"Silas said, polishing a glass"
6"Silas’s mouth bent at one"
7"He leaned on his left"
8"A woman stepped inside, shook"
9"She had cropped her hair"
10"Her coat fit as if"
11"She scanned the bar, then"
12"The woman’s hand stayed on"
13"Rory’s glove slipped from her"
14"Eva came nearer."
15"The heels of her boots"
16"She had lost the roundness"
17"Rory touched the ends of"
18"Silas set the glass aside."
19"Silas gave Eva a look"
ratio0.973
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences75
matches(empty)
ratio0
84.94% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences37
technicalSentenceCount3
matches
0"Her coat fit as if someone had taught it to stand at attention."
1"Rory touched the ends of her black hair, which brushed her shoulders."
2"Silas gave Eva a look that measured the room around her as much as her face."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags18
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags17
fancyCount1
fancyTags
0"Eva added (add)"
dialogueSentences159
tagDensity0.107
leniency0.214
rawRatio0.059
effectiveRatio0.013
85.0193%