Run: 2026-07-25-01KYD7MDRP6W758FHRKSD7SKG4

Run Details

Duration:
1m 10s
Cost:
$0.026503
Provider:
Moonshot AI

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 of The Raven's Nest buzzed against the Soho drizzle, and Aurora Carter had exactly forty minutes before her next delivery run when the door swung open and let the past walk in. She noticed the umbrella first—battered, one rib broken, held out to drip on the mat with the careful deference of someone raised to mind other people's floors. Then the face above it, and her hand stopped halfway to her glass. "Gethin." The man turned. For a moment nothing moved in his expression; then something rearranged itself behind his eyes, slow as furniture being shifted in a dark room. "Rory Carter. I'll be damned." He'd been nineteen the last time she'd seen him, all elbows and opinions, arguing poetry with her mother in the kitchen in Cardiff while the kettle screamed. The man crossing the bar now was broader, weathered around the eyes, a scar she'd never seen splitting his right eyebrow. He wore a suit that fit him like a decision someone else had made. "Sit down," she said. "You've got the look of a man who needs to be told to." He sat. Silas materialised from behind the bar with the quiet timing he had, hazel eyes moving between them, reading whatever there was to read. "Two of whatever she's having," Gethin said. "She's having tonic water. She's working." "Then one whisky, and a tonic water." Gethin glanced up at Silas, something in his posture flattening, deferring. "Please." Silas poured without comment and limped back toward the cellar door, leaving them a stretch of polished mahogany and eleven years of silence. "You look—" Gethin started, and stopped. "Say it carefully." "Tired," he said. "You look tired. But settled tired. Like a house that's been through storms and decided to stay standing." "I'll take that over what you look like." "Which is?" She turned her glass on the bar. "Like a man at his own funeral, checking who showed up." He laughed, and the laugh was the old Gethin, sudden and unguarded, and it startled them both. He looked down at his hands as if they'd done it without permission. "Your mum wrote to me," he said. "After you left. Did you know that?" "No." "She didn't ask me to find you. Just said you'd gone to London, and that you'd been with a man who'd made you smaller, and that you'd got out, which was more than most." He turned the whisky glass without drinking it. "She said it like a weather report. Jennifer always did deliver the worst of it flat, so you'd have nowhere to hide from it." "That's her gift." "I looked for you. Did you know that?" Aurora watched the bubbles climb in her tonic water. "No." "Six months after you left, I came up to London for a conference. I had your name and a phone number Eva gave me that didn't work. I walked around Soho for two days like an idiot, thinking—what, exactly? That you'd materialise?" The scar in his eyebrow pulled as he frowned. "Then I got on the train home and told myself I'd tried." "Had you?" "No," he said. "That's the thing I came to terms with. I hadn't tried. I'd performed trying, for my own benefit, and gone home relieved." The bar door opened and closed. Rain-wet voices, laughter, Silas greeting regulars by name. Gethin finally drank, a measured swallow, and set the glass down with the precision of a man who measured everything now. "You've changed," she said. "I became an accountant." "That's not what I meant." "I know." He exhaled through his nose. "After Evan—after I heard what happened, what he did to you, what I missed because I was your friend and I missed it—I went strange for a while. Angry. Got in a fight in a pub in Grangetown with a man who reminded me of him. That's the eyebrow. Got arrested once, nothing that stuck. And then one morning I woke up and I couldn't remember what the anger was for anymore, only that it was heavy, so I put it down. All of it. The poetry, the arguing, the wanting things. I took the accountancy exams because the forms were there and forms are easy. You fill them in and nobody gets hurt." "Nobody gets hurt," Aurora repeated. "That's your measure now." "It's not nothing." "No. It's not." She rubbed the crescent scar on her left wrist with her thumb, the old absent gesture, and caught him watching her do it. "You used to say the worst thing a person could be was careful." "I was nineteen. The worst thing I knew about was a rejected poem." "And now?" "Now I know the worst thing is watching someone you love disappear in slow motion and telling yourself it's fine because she's still answering her texts." The words landed between them and stayed there. Aurora looked at the maps on the walls, the black-and-white photographs of streets that no longer existed, and thought about all the versions of herself that no longer existed either—the girl in that Cardiff kitchen, the girl who'd packed a bag at dawn, the girl who answered texts just fine, thanks. "I didn't disappear to punish you," she said. "I know." "I disappeared because staying meant being looked at by people who remembered me whole. You most of all. You had this idea of me, Geth. Bright, untouchable Rory. When Evan was—when things were bad, the thought of you seeing it made me more ashamed than the thing itself. So I edited myself out of your life like a bad paragraph." "And I'm sitting here wondering if you'd have edited me out anyway, eventually. Evan or no Evan. Whether Cardiff people were always going to be a first draft to you." She flinched, and he saw it, and something old and fond moved across his face. "There you are," he said quietly. "That's the flinch you used to get when you were about to tell the truth." "I don't know," she said. "That's the truth. I don't know. I ran from him, but I'd been running from the whole map for years before him. Pre-Law because my father wanted it. Cardiff because it was close. You were the only thing in that life I chose, and I still left, and I've never worked out whether that makes you the one good thing I abandoned or the one thing I saved by taking it out of the fire." Gethin was still for a long moment. The ice in his whisky shifted. "You know what I do now, at tax year-end?" he said. "I sit in my office in Newport and I look at people's whole lives reduced to columns, and I think, nobody's ledger balances. Everyone's carrying a debt they don't mention. Yours might be me. Mine might be that fight in Grangetown, or the phone call I didn't make, or the fact that I'm thirty-one years old and I've built a life where the bravest thing I do is disagree with a client's deductions." He drank the last of the whisky. "But you know what the columns also say? We're both still here. Still adding up. That has to count for something." "Gethin Rhys, finding hope in accountancy. My mother would weep." "Your mother would ask if I'm eating properly." "Are you?" "No," he said, and grinned, and for a second he was nineteen again, and the eleven years between them stood in the room like a third person neither of them asked to leave. Aurora glanced at the clock. Twenty minutes gone. Somewhere in the city, noodles waited, and Yu-Fei didn't tolerate lateness, and the rain wasn't stopping for anyone's reckonings. But she didn't reach for her jacket. Not yet.
created_at"2026-07-25T18:12:08.606Z" 7/25/2026, 6:12:08 PM
model"moonshotai/kimi-k3-20260715"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3110
moderation_latency(null)
generation_time70306
tokens_prompt1063
tokens_completion1908
native_tokens_prompt1081
native_tokens_completion1735
native_tokens_completion_images(null)
native_tokens_reasoning58
native_tokens_cached1024
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)
usage0.0265032
router(null)
provider_responses
0
endpoint_id"650c9b12-7b6d-444d-8d92-df8daef84d7a"
id"chatcmpl-6a64fc79ef11aa0665eecee6"
is_byokfalse
latency3109
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-1785003128-yD5oUCEtjvJkZUZyqe8K"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785003128-z6D1yzjm8u1dfS1F4l1o"
upstream_id"chatcmpl-6a64fc79ef11aa0665eecee6"
total_cost0.0265032
cache_discount0.0027648
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
totalTags19
adverbTagCount1
adverbTags
0"he said quietly [quietly]"
dialogueSentences56
tagDensity0.339
leniency0.679
rawRatio0.053
effectiveRatio0.036
96.17% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1304
totalAiIsmAdverbs1
found
0
adverb"carefully"
count1
highlights
0"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)
76.99% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1304
totalAiIsms6
found
0
word"eyebrow"
count3
1
word"silence"
count1
2
word"measured"
count2
highlights
0"eyebrow"
1"silence"
2"measured"
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
narrationSentences47
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences47
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences84
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen116
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1298
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions25
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions22
wordCount539
uniqueNames9
maxNameDensity1.11
worstName"Gethin"
maxWindowNameDensity2.5
worstWindowName"Gethin"
discoveredNames
Raven1
Nest1
Soho1
Aurora5
Carter1
Cardiff2
Gethin6
Silas4
Yu-Fei1
persons
0"Raven"
1"Nest"
2"Aurora"
3"Carter"
4"Gethin"
5"Silas"
6"Yu-Fei"
places
0"Soho"
1"Cardiff"
globalScore0.943
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences29
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1298
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences84
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs53
mean24.49
std26.68
cv1.089
sampleLengths
036
140
21
332
462
517
625
77
86
919
1023
116
123
1321
148
152
1618
1730
1814
191
2066
213
228
2310
2463
252
2625
2735
284
294
305
31121
329
333
3439
3513
362
3726
3859
398
402
4160
4230
4315
4421
4580
4613
47112
4810
498
90.33% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences47
matches
0"being shifted"
1"been nineteen"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs103
matches
0"wasn't stopping"
40.82% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount1
flaggedSentences3
totalSentences84
ratio0.036
matches
0"She noticed the umbrella first—battered, one rib broken, held out to drip on the mat with the careful deference of someone raised to mind other people's floors."
1"For a moment nothing moved in his expression; then something rearranged itself behind his eyes, slow as furniture being shifted in a dark room."
2"Aurora looked at the maps on the walls, the black-and-white photographs of streets that no longer existed, and thought about all the versions of herself that no longer existed either—the girl in that Cardiff kitchen, the girl who'd packed a bag at dawn, the girl who answered texts just fine, thanks."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount545
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.023853211009174313
lyAdverbCount3
lyAdverbRatio0.005504587155963303
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences84
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences84
mean15.45
std18.96
cv1.227
sampleLengths
036
127
213
31
43
524
65
727
821
914
104
1113
122
1323
147
156
1618
171
1823
196
203
213
2218
238
242
257
2611
2717
2813
297
307
311
3242
3324
343
358
369
371
3851
3912
402
413
4222
436
448
4521
464
474
485
497
64.68% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.4166666666666667
totalSentences84
uniqueOpeners35
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences35
matches
0"Then the face above it,"
1"Somewhere in the city, noodles"
ratio0.057
71.43% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount13
totalSentences35
matches
0"She noticed the umbrella first—battered,"
1"He'd been nineteen the last"
2"He wore a suit that"
3"She turned her glass on"
4"He laughed, and the laugh"
5"He looked down at his"
6"He turned the whisky glass"
7"He exhaled through his nose"
8"She rubbed the crescent scar"
9"She flinched, and he saw"
10"he said quietly"
11"He drank the last of"
12"he said, and grinned, and"
ratio0.371
45.71% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount29
totalSentences35
matches
0"The green neon sign of"
1"She noticed the umbrella first—battered,"
2"The man turned."
3"He'd been nineteen the last"
4"The man crossing the bar"
5"He wore a suit that"
6"Silas materialised from behind the"
7"Gethin glanced up at Silas,"
8"Silas poured without comment and"
9"Gethin started, and stopped"
10"She turned her glass on"
11"He laughed, and the laugh"
12"He looked down at his"
13"He turned the whisky glass"
14"Aurora watched the bubbles climb"
15"The scar in his eyebrow"
16"The bar door opened and"
17"Gethin finally drank, a measured"
18"He exhaled through his nose"
19"She rubbed the crescent scar"
ratio0.829
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences35
matches(empty)
ratio0
47.62% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences15
technicalSentenceCount2
matches
0"He looked down at his hands as if they'd done it without permission."
1"Aurora looked at the maps on the walls, the black-and-white photographs of streets that no longer existed, and thought about all the versions of herself that no…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags19
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags12
fancyCount1
fancyTags
0"Aurora repeated (repeat)"
dialogueSentences56
tagDensity0.214
leniency0.429
rawRatio0.083
effectiveRatio0.036
87.2362%