Run: 2026-10-27-01M5YED2T5MBMTTRWDXWJBJ335

Run Details

Duration:
9m 45s
Cost:
$0.139140
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 above The Raven’s Nest broke across the window in wet ribbons. Rory came in with her delivery bag folded under one arm and Yu-Fei’s ginger-beef supper warming the other. Rain darkened the shoulders of her jacket. Her black hair clung to her cheeks, and she pushed it back with the hand that bore the small crescent scar on its wrist. Silas glanced up from the accounts. His signet ring tapped the bar as he reached for the bag. “Last one?” “Last one. Mrs Ito sent back the prawn crackers because they were too crisp.” “Monstrous woman.” “She gave me a pound.” “A monster with hidden depths.” A woman rose from the table beside the maps. Her knee caught the edge, shifting two glasses and a bowl of nuts. “Rory?” Rory knew the voice before the face. It had once shouted abuse at a referee through a mouthful of orange slices. It had recited the whole of a French oral exam from outside a bathroom door. Age had lowered it and taken away some of its Cardiff edges, but not its impatience. The woman had Eva’s mouth and Eva’s way of tipping her chin at a problem. The rest of her had been edited. Her hair, once dyed the colour of a bruised plum and cut with kitchen scissors, now lay in a smooth brown line against her jaw. She wore a charcoal coat with a narrow belt and no jewellery beyond a watch. At nineteen, she had dressed from the floors of other people’s bedrooms. She had owned a violin with a split rib and six coats, none of them warm. “Your hair,” Eva said. Rory touched the damp ends at her shoulder. “I cut it four years ago.” “Oh.” Eva’s gaze moved over the delivery jacket, the bag Silas held, the room behind Rory. She had never learned to look at one thing at a time when she was frightened. Rory set the carton on the bar. “Hello, Eva.” Silas folded the delivery bag once, with more care than its cracked seams required. “Everything all right?” “This is Eva.” He waited for the rest of it. Rory watched him understand that there wasn’t a rest of it yet. “Silas,” he offered. Eva came round the table and shook his hand. Hers had a pale stripe where a ring had recently been. Rory noticed because Eva noticed her noticing and closed that hand around the other. “I’ll be at the bar,” Silas said. He took the accounts with him and limped towards the far end, where an old photograph of a fishing fleet hung above the whisky. Eva gestured at her table. “Will you sit? Unless you’re working. You’re working.” “I’ve finished.” “Then will you?” Rory took the chair facing the room. Eva’s eyes touched the door, then returned to her. “How long has it been?” “Five years,” Rory said. “Five and a half. Your mother’s kitchen.” “You counted.” “I had to check when I saw you. It didn’t feel like a number I knew.” A group near the window burst into laughter. Eva turned towards the sound. Rory watched her profile: the small lines beside her mouth, the powder over a blemish on her chin. She had acquired the stillness of hotel lobbies and meeting rooms. Rory had acquired the stillness of listening for a key in a lock. Eva pushed the bowl of nuts aside. “I’m in London for a client dinner. They went on somewhere with a DJ. I told them I had emails.” “Do you?” “Hundreds.” “Important ones?” “I’ve become very good at making things sound important.” Rory looked at the open laptop case, the hotel key card in its paper sleeve, the invoice tucked under Eva’s wineglass. “You were going to make violins.” “I made one.” “It sounded like a drawer falling downstairs.” “It had a distinctive voice.” “It had woodworm.” Eva laughed, and the laugh startled them both. She put her fingers over her mouth, an old gesture in the new face. “I do contract work for an airline,” she said. “Frankfurt, mostly. Leases, liability, industrial disputes. You’d hate it.” “I don’t know what it is.” “That would help.” Silas brought Rory a glass of water and replaced Eva’s wine without being asked. He moved on before either of them could thank him. Eva turned the fresh glass by its stem. “You sent me a thumbs-up in March.” “You asked if I was eating properly.” “And?” “I sent you a thumbs-up.” “I deserved that.” Rory drank. The water held the faint mineral taste of the old pipes upstairs. Eva’s thumb found the pale stripe on her finger and rubbed it. “When you got the train to London, I should have met you.” “You were in Frankfurt.” “There are planes.” “You paid for my ticket.” “It was eighty pounds.” “You stayed on the phone until I reached the station.” “Then I went to a meeting.” Rory set the glass down. A man passed their table, and she tracked him in the mirror behind Eva until he reached the gents’. When she looked back, Eva had seen the whole journey. “I know,” Rory said. Eva’s hand left the glass. “I don’t know why I told you that.” “Because you want me to absolve you in the correct order.” The old Eva would have had an answer before Rory finished. This one looked down at the table. A wet crescent marked where her first glass had stood. She laid her watch face over it, then seemed to realise what she had done and moved the watch away. “That day in your mother’s kitchen,” she said, “I called Evan a bully.” “You called him a man who mistook surveillance for devotion.” “God. Did I?” “You’d been reading again.” “I wanted you to pack a bag.” “You had a flight.” “I always had a flight.” Rory’s mother had left the good cups out that afternoon. Two blue cups with gilt rims, too small for the amount of coffee Eva drank. Rory could remember holding hers by the bowl because the handle had been hot. She could remember Eva’s boarding pass beside the teapot, its stark black print announcing how little time remained for Rory to become reasonable. “You told me he made every room smaller,” Rory said. “He did.” “You wanted me to admit you were right.” Eva’s lips parted. Rory turned her wrist over. The crescent scar showed white against her skin, the old childhood accident nothing like the injuries people imagined when they saw it now. She covered it with her sleeve. “I couldn’t do that and keep living with him. Do you understand? If you were right about him, then I’d been wrong about every day I’d chosen to stay. I had to defend all of it or none of it.” “I left because you told me to.” “Yes.” “I got in the taxi and thought, She’ll ring when she’s calmer. Then you didn’t ring, and I made that into another reason not to come back.” “You were angry.” “I was twenty. I thought anger made a person interesting.” Eva picked up her wine and put it down without drinking. “When you told me he’d thrown your phone at the wall, I asked what you’d said to him.” Rory’s fingers stopped against the glass. “I’ve thought about that question for years,” Eva said. “Not every day. I’m not going to pretend I’ve suffered beautifully over it. But it comes back. On planes. In supermarkets. Once during a fire drill.” “You asked it once.” “Once was enough.” Rory looked beyond her, at the map of London on the wall. Someone had marked a route across it in red pencil, long faded. Soho sat beneath the crease. “I was relieved when you asked.” Eva frowned. “If it depended on something I’d said, there was a correct sentence. I could find it next time. I could be precise. I could put the milk away before he came in, answer the phone before the second ring, laugh at the right parts. You gave me another six months of believing there was a version of me he wouldn’t hurt.” Eva’s face changed then. Not collapse; something more guarded. She pressed the heel of her hand against the table’s edge until the skin whitened. “There wasn’t a version,” she said. “No.” “I should have known that.” “You should have known lots of things. So should I.” “That isn’t what I mean.” “I know what you mean.” The answer came out harder than Rory intended. Eva took it without moving. That, more than the coat or the smooth hair, made her seem unfamiliar. She had once treated every disagreement as a locked door she could kick open. Rory rubbed a droplet from the outside of her glass. “I didn’t come to your father’s funeral.” Eva looked at the nuts. “No.” “I got dressed. Black dress, tights, the shoes with the buckle. I sat on the stairs for an hour. Evan said you’d use it to start everything again. He said I’d be making your grief about me.” Eva’s watch ticked against her wineglass when she reached for it. She moved her hand away. “I told you I had a seminar,” Rory said. “You did.” “I didn’t.” “I worked that out.” “Your mother came to ours when Dad had his operation. She brought that chicken thing with tarragon.” “She brings it to every crisis. No one has the heart to tell her it’s awful.” “It wasn’t awful.” “It was, Rory.” A small sound escaped Rory. She bent over her glass, and after a moment Eva joined her. Their laughter had none of its old ease, but it did not break anything. Eva wiped beneath one eye with the side of her finger. “Your mother came to the funeral. She stood with me before everyone arrived. I kept watching the church door because I thought, if she’s here, you might be.” Rory’s laughter stopped. “I’m not telling you to punish you,” Eva said. “You can punish me a little.” “No. I did that without speaking to you. It was very efficient.” Rory thought of the card she had bought and left blank, of the black dress hanging for months at the back of a wardrobe she had not been allowed to rearrange. There were apologies that asked for comfort and apologies that merely set down what they carried. She could not tell which sort she had left. “He liked you,” Eva said. “Don’t make him kind to make this easier.” “He was kind. It was often inconvenient.” Eva’s mouth tightened. “He drove sixty miles once because you’d left your coursework in our shed.” “It was your coursework.” “He liked you anyway.” The group by the window began putting on coats. A chair scraped. Rory’s attention broke towards them, then returned. Eva leaned closer. “Does he know where you are?” “No.” “Would you tell me if that changed?” Rory glanced at Silas. He had stopped pretending to read the accounts. Below him, the green neon painted one side of the bar; above them, the floorboards of her flat crossed the ceiling in dark seams. “There are people who’d notice,” she said. Eva nodded. She did not ask to be included among them. “What’s it like?” she said instead. “The job. The flat. Any of it.” “The restaurant’s busy. People complain when their food’s late. It’s useful, being blamed for something with a cause.” Rory turned the carton on the bar round so its label faced her. “The flat has damp in the bathroom and a window that sticks. I can hear Silas locking up at night. Two bolts, then the shutter.” “Do you like that?” “I used to hate it.” Eva waited. Rory had forgotten that about her: beneath the interruptions and the lectures, she could wait with her whole body. “Now I know what it means,” Rory said. “That helps.” Eva’s phone vibrated beside the laptop case. A car registration appeared on the screen, followed by the name of her hotel. She picked it up. For an instant Rory saw the old evening resume its hold on her: flight, inbox, another city, messages reduced to symbols that asked nothing difficult. Eva pressed the side button and laid the phone face down. “Is your driver outside?” “He can circle.” Rory went to the bar and fetched the carton Yu-Fei had packed for her. Silas produced two forks without comment. Back at the table, she peeled away the foil lid. Ginger and orange peel rose with the steam. Eva sniffed. “Orange peel?” “Yu-Fei puts it in the beef. Everyone tells him not to.” “Does it work?” “No. He won’t stop.” Rory set a fork beside Eva’s untouched wine. Eva looked at the food, then at the coat she had kept buttoned through every apology. She unfastened the narrow belt, slipped the coat from her shoulders and folded it over the empty chair. Rory pushed the carton into the space between them.
created_at"2026-10-27T10:27:26.16Z" 10/27/2026, 10:27:26 AM
model"moonshotai/kimi-k3.1-pro-20261023"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency6682
moderation_latency(null)
generation_time585065
tokens_prompt1063
tokens_completion14832
native_tokens_prompt1080
native_tokens_completion13698
native_tokens_completion_images(null)
native_tokens_reasoning10816
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"stop"
service_tier(null)
usage0.13914
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.1; linux; x64))"
http_referer(null)
request_id"req-1793096846-L2GfEkPhyhEf7XdfJwII"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1793096846-8uwppPI5ZjNwPhh8mkRq"
upstream_id"chatcmpl-6ae07c8f2ddf159f0eeeb61c"
provider_responses
0
endpoint_id"a3fafaac-f097-4ef1-86b3-842854dad5c6"
id"chatcmpl-6ae07c8f2ddf159f0eeeb61c"
is_byokfalse
latency6682
model_permaslug"moonshotai/kimi-k3.1-pro-20261023"
provider_name"Moonshot AI"
status200
total_cost0.13914
cache_discount(null)
upstream_inference_cost0
provider_name"Moonshot AI"
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
totalTags19
adverbTagCount1
adverbTags
0"she said instead [instead]"
dialogueSentences119
tagDensity0.16
leniency0.319
rawRatio0.053
effectiveRatio0.017
95.39% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2167
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)
90.77% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2167
totalAiIsms4
found
0
word"depths"
count1
1
word"stark"
count1
2
word"efficient"
count1
3
word"vibrated"
count1
highlights
0"depths"
1"stark"
2"efficient"
3"vibrated"
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
narrationSentences131
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences131
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences232
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen61
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2167
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions33
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions95
wordCount1286
uniqueNames9
maxNameDensity3.27
worstName"Eva"
maxWindowNameDensity5.5
worstWindowName"Eva"
discoveredNames
Raven1
Nest1
Yu-Fei2
French1
Cardiff1
Eva42
Rory39
Silas7
London1
persons
0"Raven"
1"Nest"
2"Yu-Fei"
3"Eva"
4"Rory"
5"Silas"
places
0"Cardiff"
1"London"
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences91
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount2167
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences232
matches
0"closed that hand"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs152
mean14.26
std15.95
cv1.119
sampleLengths
063
118
22
314
42
55
65
722
81
952
1090
114
1214
131
1431
159
1614
173
183
1919
203
2134
227
2324
2413
252
263
2716
285
294
307
312
3216
3355
3427
352
361
372
389
3927
403
417
425
433
4422
4518
466
473
4824
4915
94.55% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences131
matches
0"been edited"
1"was frightened"
2"being asked"
3"been allowed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs219
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount2
flaggedSentences2
totalSentences232
ratio0.009
matches
0"Not collapse; something more guarded."
1"Below him, the green neon painted one side of the bar; above them, the floorboards of her flat crossed the ceiling in dark seams."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1094
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.015539305301645339
lyAdverbCount2
lyAdverbRatio0.0018281535648994515
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences232
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences232
mean9.34
std7.58
cv0.811
sampleLengths
014
118
27
324
46
512
62
714
82
95
105
119
1213
131
147
1514
1615
1716
1815
197
2025
2115
2212
2316
244
258
266
271
2815
2916
307
312
3214
333
343
357
3612
373
389
3911
4014
417
4224
435
448
452
463
477
489
495
43.10% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats16
diversityRatio0.25
totalSentences232
uniqueOpeners58
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences111
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences111
matches
0"Her black hair clung to"
1"His signet ring tapped the"
2"Her knee caught the edge,"
3"It had once shouted abuse"
4"It had recited the whole"
5"Her hair, once dyed the"
6"She wore a charcoal coat"
7"She had owned a violin"
8"She had never learned to"
9"He waited for the rest"
10"Hers had a pale stripe"
11"He took the accounts with"
12"She had acquired the stillness"
13"She put her fingers over"
14"He moved on before either"
15"She laid her watch face"
16"She could remember Eva’s boarding"
17"She covered it with her"
18"She pressed the heel of"
19"She had once treated every"
ratio0.261
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount103
totalSentences111
matches
0"The green neon above The"
1"Rory came in with her"
2"Rain darkened the shoulders of"
3"Her black hair clung to"
4"Silas glanced up from the"
5"His signet ring tapped the"
6"A woman rose from the"
7"Her knee caught the edge,"
8"Rory knew the voice before"
9"It had once shouted abuse"
10"It had recited the whole"
11"Age had lowered it and"
12"The woman had Eva’s mouth"
13"The rest of her had"
14"Her hair, once dyed the"
15"She wore a charcoal coat"
16"She had owned a violin"
17"Rory touched the damp ends"
18"Eva’s gaze moved over the"
19"She had never learned to"
ratio0.928
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences111
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences60
technicalSentenceCount2
matches
0"Her black hair clung to her cheeks, and she pushed it back with the hand that bore the small crescent scar on its wrist."
1"For an instant Rory saw the old evening resume its hold on her: flight, inbox, another city, messages reduced to symbols that asked nothing difficult."
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
totalTags15
fancyCount0
fancyTags(empty)
dialogueSentences119
tagDensity0.126
leniency0.252
rawRatio0
effectiveRatio0
84.1270%