Run: 2026-07-25-01KYD69E7H1WVXPDN2PWMR88QX

Run Details

Duration:
1m 11s
Cost:
$0.030497
Provider:
Moonshot AI

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
The green neon of the Raven's Nest hummed through the window glass, tinting the rain-slicked pavement the colour of deep water. Rory pushed through the door with a delivery bag still slung over her shoulder, smelling of sesame oil and wet wool, and Silas glanced up from the taps with the slight nod that served as his entire vocabulary of greeting. It was nearly eleven. The dinner crowd had thinned to a handful of regulars hunched over their pints like figures in an old photograph — fitting, given the walls. She was halfway to the stairs when she heard her name. Not Rory. The other one. "Laila?" Only one person in the world had ever called her that, in that particular Welsh lilt, stretching the vowels like taffy. Rory stopped with her hand on the banister. The woman rising from the corner booth was blonde now. That was the first thing, the superficial thing, the thing Rory seized on because the rest of it was harder to look at directly. Eva had been dark-haired all through childhood, all through university, all through those last terrible months in Cardiff when she'd been the one voice on the phone telling Rory to get out, get on a train, come to London. The blonde was expensive, glossed to within an inch of its life. So was the coat draped over the booth's bench — camel-coloured, real wool, the kind of coat that cost more than Rory's rent. So was the watch. "Oh my God," Rory said. "Eva." They hugged the way people hug when they've been picturing it for years and find the reality slightly misaligned — a beat too long, an elbow in the wrong place. Eva smelled of perfume Rory didn't recognise. Under it, faintly, cigarettes. Eva had never smoked. "Sit, sit, sit. God, look at you. What are you — is that a delivery bag?" Eva laughed, and the laugh was the old laugh, and for a second Rory was eighteen again, sharing chips on a wall overlooking the bay. "You're delivering food?" "Among other things." Rory slid into the booth, set the bag down, suddenly aware of every smell she carried. "I live upstairs, actually. Above the bar. What are you doing in Soho?" "A client dinner that went long. I ducked in here to hide from the rain and — " Eva gestured at the dim room, the maps, the whole improbable machinery of chance. "You live above a bar called the Raven's Nest. Of course you do. That's so you." "Is it?" "Was. Is. I don't know." Eva signalled the bar with a practised flick of two fingers. "Two of whatever's good. Do they do wine here? They look like a whisky place." "Silas does everything. He's particular about it." When the drinks came — whisky, because Eva had been right, it was that kind of place — Rory studied her friend across the rim of the glass. The changes kept arriving in layers, like a photograph developing. The blonde. The watch. The careful, polished stillness of her, the way she'd learned to occupy a booth like a boardroom. And underneath all of it, something Rory couldn't name at first: a tightness around Eva's eyes that hadn't been there at twenty-two. The face of someone who'd spent years being evaluated and had learned to evaluate back. "So. Lawyer?" Rory asked. "Corporate. Mergers, mostly. Partner track, if you can believe it. Cardiff feels like a past life." Eva turned her glass in a slow circle. "And you? The delivery thing is — between things, right? You were always going to — " She stopped. Recalibrated. "What happened with the law?" "Nothing happened with it. I just never wanted it and eventually I stopped pretending." It came out flatter than Rory intended. "I'm working on things. Writing, actually." "Writing." Eva's face did something complicated — delight and confusion and something almost like fear, all trying to surface at once. "God, of course. You used to write those stories, do you remember? In sixth form. You made me read them in the common room and I'd have to pretend I hadn't cried." "You did cry." "I did cry," Eva admitted, and they both laughed, and for a moment the booth held the two girls they'd been, and it was easy. It didn't last. It couldn't. The silence that followed had weight to it, the specific weight of seven years and the question neither of them had asked yet. "I looked for you," Eva said finally. "After London. After you — after the Evan thing. You went dark. Changed your number. I told you to come here and then I couldn't find you. I thought — " She broke off, jaw working. "I thought I'd done something wrong. Or not done something. I kept going over it." Rory stared into her whisky. The crescent scar on her left wrist itched, the way it did when she was lying to herself. "You didn't do anything wrong. You saved my life, Eva. That's not — I'm not being dramatic. You saved my life." "Then why?" "Because you knew me." The words came out before Rory could sand them down. "You knew who I was, and I couldn't be that person anymore, and I couldn't explain that without — everyone who knew me before was a mirror. I couldn't look at any of them. It wasn't you. It was never you." Eva was very still. Then she reached across the table and took Rory's hand, and her grip was exactly the same as it had been when they were nine years old, crossing a road. "You know what the worst part is?" Eva said quietly. "I understood. I understood so well it scared me. Because I did the same thing, just in the other direction. I didn't disappear. I — I performed. I built this." A small gesture at the coat, the watch, the blonde. "Piece by piece. And it works, Rory, it works so well, and some nights I stand in my kitchen in my flat in Canary Wharf and I cannot for the life of me remember which parts are me. And then tonight I walk into a random bar to get out of the rain, and there's this girl with a delivery bag who looks at me like she can see straight through every piece of it, and I almost walked out. Did you know that? I almost left." Rory turned her hand over, squeezed back. "Why didn't you?" "Because you were the last person who knew which parts were me." Eva's eyes shone. She didn't cry; Rory suspected she'd trained herself out of it, somewhere along the partner track. "And I miss her. God, Rory. I miss her so much, and I don't even know if she's worth missing, that's the thing. You ran from your old self and I buried mine, and here we both are. Neither of us is who we were. I just don't know if either of us is anyone yet." Behind the bar, Silas was drying glasses with unhurried precision, his limp shifting his weight as he moved, his signet ring catching the low light. He didn't look at them. He had the professional's gift for not looking, for letting a booth become a confessional. Rory made a note to thank him later. "I'm someone," Rory said. "I'm not finished, but I'm someone. It took the disappearing to find that out. I think — " she chose the words carefully, the way she'd choose them on a page " — I think you only get to miss the old you if you're willing to let the new one out occasionally. She doesn't have to stay buried. She's not dead, Eva. She's just not allowed out past Canary Wharf." Something cracked open in Eva's face, and the laugh that came out of her was wet and startled and entirely real. "There's the girl from the common room." "She delivers noodles now." "Shut up." Eva wiped her eyes with the heel of her hand, careless of the mascara, which was maybe the most Eva-like thing she'd done all night. "Give me your number. And I mean it this time. I don't care if you change it again — I'll find this bar, I know where you live now, I'll stand outside under that terrifying green sign and shout 'Laila' until you come down." "That would work," Rory admitted. "That's a horrifyingly effective threat." "I'm a lawyer." They exchanged numbers like a treaty, thumbs on screens, heads bent close. Outside, the rain softened to a drizzle, and the neon buzzed on, painting them both, briefly, the colour of something still growing.
created_at"2026-07-25T17:48:40.061Z" 7/25/2026, 5:48:40 PM
model"moonshotai/kimi-k3-20260715"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3759
moderation_latency(null)
generation_time70717
tokens_prompt846
tokens_completion2071
native_tokens_prompt906
native_tokens_completion1898
native_tokens_completion_images(null)
native_tokens_reasoning55
native_tokens_cached256
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"stop"
service_tier(null)
usage0.0304968
router(null)
provider_responses
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endpoint_id"650c9b12-7b6d-444d-8d92-df8daef84d7a"
id"chatcmpl-6a64f6e51c1a46f4c2a5b38d"
is_byokfalse
latency3759
model_permaslug"moonshotai/kimi-k3-20260715"
provider_name"Moonshot AI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1785001720-0rfPhX6fZOers5s1dts1"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785001720-PONXtPU6ZAykkyWz48s0"
upstream_id"chatcmpl-6a64f6e51c1a46f4c2a5b38d"
total_cost0.0304968
cache_discount0.0006912
upstream_inference_cost0
provider_name"Moonshot AI"
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
totalTags20
adverbTagCount2
adverbTags
0"Eva said finally [finally]"
1"Eva said quietly [quietly]"
dialogueSentences45
tagDensity0.444
leniency0.889
rawRatio0.1
effectiveRatio0.089
86.01% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1430
totalAiIsmAdverbs4
found
0
adverb"slightly"
count1
1
adverb"suddenly"
count1
2
adverb"very"
count1
3
adverb"carefully"
count1
highlights
0"slightly"
1"suddenly"
2"very"
3"carefully"
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)
82.52% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1430
totalAiIsms5
found
0
word"lilt"
count1
1
word"silence"
count1
2
word"weight"
count3
highlights
0"lilt"
1"silence"
2"weight"
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
narrationSentences64
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences64
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences88
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen87
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1453
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions15
unquotedAttributions0
matches(empty)
14.03% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions49
wordCount809
uniqueNames10
maxNameDensity2.72
worstName"Rory"
maxWindowNameDensity4.5
worstWindowName"Eva"
discoveredNames
Raven1
Nest1
Silas2
Rory22
Welsh1
Cardiff1
London1
Eva18
Recalibrated1
Eva-like1
persons
0"Raven"
1"Nest"
2"Silas"
3"Rory"
4"Eva"
places
0"Cardiff"
1"London"
globalScore0.14
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences41
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.688
wordCount1453
matches
0"not finished, but I'm someone"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences88
matches
0"was that kind"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs37
mean39.27
std33.32
cv0.848
sampleLengths
090
116
21
329
4112
56
645
744
832
948
102
1131
127
1396
144
1549
1627
1753
183
1925
2028
2158
2244
232
2455
2534
26137
2710
2887
2953
3075
3128
324
3371
3410
353
3634
99.78% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences64
matches
0"being evaluated"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs142
matches
0"was lying"
1"was drying"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount1
flaggedSentences6
totalSentences88
ratio0.068
matches
0"The dinner crowd had thinned to a handful of regulars hunched over their pints like figures in an old photograph — fitting, given the walls."
1"So was the coat draped over the booth's bench — camel-coloured, real wool, the kind of coat that cost more than Rory's rent."
2"They hugged the way people hug when they've been picturing it for years and find the reality slightly misaligned — a beat too long, an elbow in the wrong place."
3"When the drinks came — whisky, because Eva had been right, it was that kind of place — Rory studied her friend across the rim of the glass."
4"\"Writing.\" Eva's face did something complicated — delight and confusion and something almost like fear, all trying to surface at once."
5"She didn't cry; Rory suspected she'd trained herself out of it, somewhere along the partner track."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount807
adjectiveStacks0
stackExamples(empty)
adverbCount28
adverbRatio0.03469640644361834
lyAdverbCount12
lyAdverbRatio0.01486988847583643
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences88
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences88
mean16.51
std15.52
cv0.94
sampleLengths
021
140
24
325
411
52
63
71
821
98
1010
1124
1239
1312
1423
154
165
171
1830
197
204
214
2241
233
2419
2513
2632
2716
282
2916
3015
317
3228
3310
342
352
3617
3722
3815
394
4024
4119
421
435
4421
456
4621
4732
483
4925
70.45% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.4772727272727273
totalSentences88
uniqueOpeners42
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences54
matches
0"Only one person in the"
1"Then she reached across the"
ratio0.037
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount11
totalSentences54
matches
0"It was nearly eleven."
1"She was halfway to the"
2"They hugged the way people"
3"It came out flatter than"
4"It didn't last."
5"She broke off, jaw working"
6"She didn't cry; Rory suspected"
7"He didn't look at them."
8"He had the professional's gift"
9"she chose the words carefully,"
10"They exchanged numbers like a"
ratio0.204
43.33% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount45
totalSentences54
matches
0"The green neon of the"
1"Rory pushed through the door"
2"It was nearly eleven."
3"The dinner crowd had thinned"
4"She was halfway to the"
5"The other one."
6"Rory stopped with her hand"
7"The woman rising from the"
8"That was the first thing,"
9"Eva had been dark-haired all"
10"The blonde was expensive, glossed"
11"They hugged the way people"
12"Eva smelled of perfume Rory"
13"Eva had never smoked."
14"Eva laughed, and the laugh"
15"Rory slid into the booth,"
16"Eva gestured at the dim"
17"Eva signalled the bar with"
18"The changes kept arriving in"
19"The careful, polished stillness of"
ratio0.833
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences54
matches(empty)
ratio0
57.14% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences25
technicalSentenceCount3
matches
0"Rory pushed through the door with a delivery bag still slung over her shoulder, smelling of sesame oil and wet wool, and Silas glanced up from the taps with the…"
1"So was the coat draped over the booth's bench — camel-coloured, real wool, the kind of coat that cost more than Rory's rent."
2"And underneath all of it, something Rory couldn't name at first: a tightness around Eva's eyes that hadn't been there at twenty-two."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags20
uselessAdditionCount1
matches
0"Eva laughed, and the laugh was the old laugh, and for a second Rory was eighteen again, sharing chips on a wall overlooking the bay"
83.33% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount3
fancyTags
0"Eva laughed (laugh)"
1"Eva admitted (admit)"
2"Rory admitted (admit)"
dialogueSentences45
tagDensity0.178
leniency0.356
rawRatio0.375
effectiveRatio0.133
84.5535%