Run: 2026-10-27-01M5YJN661RN5HNEWYHJSGFKKS

Run Details

Duration:
12m 4s
Cost:
$0.204958
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
Rain had broken the green neon above The Raven’s Nest into a wavering streak on the pavement. Aurora Carter pushed through the door with Yu-Fei Cheung’s delivery bag knocking against her hip, her cuffs wet and her black hair sticking to her cheeks. Beneath the old maps and framed photographs, two men argued over a crossword. Silas Blackwood stood behind the bar with the racing pages folded beside his elbow. He took in Aurora’s soaked jacket and pushed a bar towel towards her. His silver signet ring clicked against the wood. At the far end of the bar, a woman in a charcoal suit was ruining a beer mat. She folded it in half, then in half again, pressing each crease flat with her thumbnail. Aurora recognised that small, exact pressure. It had creased school worksheets, train tickets and the corners of letters neither of them had posted. “There’s nothing in the middle.” The woman looked up. “You used to let me finish.” Aurora’s hand stilled inside the towel. “Eva.” “Hello, Rory.” Eva stood. At nineteen she had cut her hair with kitchen scissors whenever life bored her; now it lay in a smooth knot at the nape of her neck. Her raincoat was folded over the next stool. She rose without the old collision of elbows and bag straps, and Aurora could not decide whether she looked taller or merely better assembled. They met beside the crossword men. The delivery bag knocked against Eva’s knee. Aurora shifted it, and they embraced with the care of people carrying something borrowed. Eva’s perfume caught at the back of Aurora’s throat. Beneath it was rain and the warm, bitter trace of tonic. “You’re soaked.” “It’s London.” “You used to carry an umbrella.” “You used to make me share yours.” Eva drew back. Her gaze moved over Aurora’s face, then to her hair, which now brushed her shoulders. “You cut it.” “Years ago.” “I know. That’s the trouble with hearing it now. I keep putting the years in the wrong order.” Silas set a soda and lime before Aurora and replaced Eva’s tonic. Aurora glanced at him. He gathered his newspaper and moved down the bar, his left leg dragging a fraction on the first step. He had a talent for removing himself without making a performance of discretion. Aurora left the delivery bag on the floor and took Eva’s old stool. “How long?” “Six years.” “You counted.” “My job likes dates.” “What is your job?” “Operational resilience.” “That isn’t a job. That’s a sign above a fire extinguisher.” Eva’s mouth moved at one corner. She turned her glass between both hands. “I work for an insurance company. Banks pay us to imagine their bad day.” “And do you?” “Frequently. Usually after lunch.” “You were going to make films.” “Radio.” “You were going to live in a van.” “The van had no engine.” “You said that was a detail.” “It was. Then my boiler burst.” Aurora looked at the suit, the raincoat, the narrow leather notebook beside Eva’s glass. A gold pen lay across its cover. Eva had once kept pens behind both ears and lost them there. “Don’t,” Eva said. “I haven’t said anything.” “You’ve got your courtroom face.” “That was my father’s face.” “Well, it’s had work.” One of the crossword men swore at the other and demanded a dictionary. Silas turned a page of his newspaper. Eva ran a finger around the base of her glass. “I like it, Rory. The work. I like being the person who reads the last page of the report. I like knowing which drawer things are in.” “Which drawer are you in?” “Bristol.” “You used to call it Cardiff with a trust fund.” “It still is. I’ve stopped letting the truth ruin a decent breakfast.” Aurora laughed before she could decide not to. Eva looked down into her drink. The laugh had altered something in her face; for an instant the suit fitted less well. She lifted her hand, and a small stone caught the light. Aurora nodded towards it. “Who’s he?” “Michael. He’s kind, and my mother adores him, which I try not to hold against either of them.” “Kind?” “You can say it without making it sound like a deficiency.” “I didn’t.” “Your face did.” Eva took a sip. The ice had thinned to slivers. “September. My mother has bought a hat with its own weather system. She’s doing something unspeakable to a hotel near Devizes.” “Am I invited?” Eva’s finger stopped against the glass. “Do you want to be?” “That’s not an answer.” “Neither is a question.” Aurora peeled a strip of wet cardboard from the edge of the bar. Eva watched her do it, then reached over and put the damaged beer mat beyond her hand. “I didn’t know where to send it.” “You have my number.” “I have a number I’ve been sending facts to for three years. A dog in a wheelbarrow. My mother’s hat. A photograph of your old street after they knocked down the video shop.” “The pug.” Eva’s grip loosened. “You read that one?” “It had one eye.” “It had two. One was judging you.” Aurora folded the towel into a smaller square. “I read them all.” Eva looked towards the far wall. In the photograph above her head, a crowd stood outside a cinema that had since become a block of flats. Their faces were pale ovals beneath the marquee. “That makes it worse.” “Why?” “Because I thought you might have lost the phone. Changed your number. There were explanations that didn’t involve you choosing.” The door opened. Cold air moved through the bar, carrying the hiss of a bus brake. Aurora watched a man shake rain from his umbrella before she answered. “I came to London twice,” Eva said. “I know.” “You didn’t answer.” “I was working.” “Both times?” “No.” Eva waited. At nineteen, silence had offended her. She had filled it with accusations, songs, impossible schemes. Now she let it stand between them and examined her glass. Aurora pressed her thumb to the crescent-shaped scar on her left wrist. “I would read your message on the stairs. Then I’d sit down, and the whole evening would go.” “You could have told me to stop.” “I didn’t want you to stop.” Eva’s face tightened. “I didn’t want you to stop,” Aurora said, “and I couldn’t bear to start.” Silas moved a glass from one shelf to another. The sound reached them from a great distance. Eva’s notebook slid an inch across the bar. She caught it before it fell. “You rang me at three in the morning. You wouldn’t get off the phone until the train moved.” “You kept saying my name.” “You kept answering.” Aurora’s thumb continued its small circuit of the scar. “Afterwards, I thought if I kept ringing, you’d keep answering. Then you didn’t.” “Every time your name came up, I could hear how I sounded.” “You sounded frightened.” “I sounded like somebody I didn’t want to be again.” Eva’s thumb found the stone in her ring and turned it. “And I sounded like somebody who had failed you.” Aurora looked up. “I told you he was mad about you,” Eva said. “At your birthday. You said he made you nervous, and I thought I was being funny.” “He was nice to you.” “I know.” “You didn’t know.” “No.” The word cost Eva something. She set the ring straight with a deliberate movement. “I wanted you to tell me that without making it a verdict.” “It isn’t.” “It is when I’m on my own.” Aurora’s drink had gone warm. She took a mouthful anyway. The lime left a clean bitterness on her tongue. “You didn’t put me there.” “Neither did you.” Aurora said nothing. Eva gave a short breath through her nose, neither laugh nor sigh. “There. I’ve said the correct thing. I hate it as much as you do.” “You always were better at it.” “At what?” “Being angry with the right person.” Eva’s hand closed around her notebook. “No. I was angry with you.” Aurora held still. “Not at first. Later. I hated that you disappeared after I’d helped. I knew it was ugly. I still thought it. I wanted it to have ended well because I had been in it.” “It did end well.” “For a long time, I couldn’t tell.” “I was here. Working. Sleeping with the window locked. Learning which buses ran after midnight. It wasn’t a story.” “No.” “I couldn’t give you an ending.” Eva opened the notebook and closed it again without looking at the page. “I kept saying I wanted to know you were safe. That was true. I also wanted you to ring me and sound like Rory, so I could stop being frightened. Those weren’t the same thing.” Aurora looked towards the stairs behind the bar. Above them lay her flat: one lamp with a crooked shade, Yu-Fei’s spare cartons stacked beneath the sink, a chessboard Silas had lent her and never asked for back. “Is that why you do what you do?” she asked. Eva frowned. “What?” “Risk. Knowing what might go wrong.” For a moment Eva stared at her. Then she laughed, and two nearby drinkers glanced over. “No. I do it because a man in a cheap suit offered me twice what the radio station paid, and my boiler had burst. I changed for ordinary reasons. Don’t make me into a consequence.” Aurora felt heat rise in her face. “I wasn’t.” “You were. I can see you doing it.” Eva tucked the notebook into her raincoat pocket. “I like my work. I like Michael. I even like the suit.” “The suit’s all right.” Eva smiled. Aurora had forgotten the small gap between her front teeth; it appeared when a smile got away from her. “And you?” Eva began. She stopped and shook her head. “No. I’m not doing that.” “Happy?” “Safe was what I was going to say.” Aurora’s gaze moved to Silas. He had abandoned the racing pages and was showing one of the crossword men a photograph on his phone. The man’s indignation had softened into disbelief. “Most nights.” Eva accepted this without asking for the other nights. “Yu-Fei puts an extra spring roll in when she thinks I’ve had a bad day.” “Is tonight a spring-roll night?” “She gave me two.” “Then I’ve arrived at the right time.” “I ate them on the way back.” Eva checked the clock behind the bar. Her face changed, not closing but rearranging itself around an obligation. “My train.” “You always did leave before the end.” “You always did make me miss it.” She stood and put on her raincoat. Aurora noticed that she checked her pockets twice: notebook, phone, keys. A list carried out by hand. Eva picked up her bag, then set it down again. “I won’t send the invitation unless you want it.” Aurora considered the damaged beer mat between them. “Send me the hat.” “What?” “Your mother’s hat. The invitation can look after itself.” Eva’s fingers rested on the strap of her bag. “All right.” Aurora left the delivery bag beside the stool. Their second embrace lasted longer. Eva’s hand gripped the back of her jacket, and Aurora felt the small stone of the ring against her shoulder blade. At the door, Eva paused beneath the green sign. “Rory.” “What?” “Your hair suits you.” Aurora touched the wet ends at her shoulder. “You took six years.” “I was building up to it.” The door opened on rain and traffic. Eva stepped into it, pulling her collar up before she reached the pavement. Silas came back for her glass. He looked at the door, then at Aurora, and decided against the first question that had occurred to him. “Friend of yours?” Aurora set Eva’s folded beer mat on top of the bar towel. “Yes.”
created_at"2026-10-27T11:41:46.059Z" 10/27/2026, 11:41:46 AM
model"moonshotai/kimi-k3.1-pro-20261023"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1883
moderation_latency(null)
generation_time724209
tokens_prompt1063
tokens_completion21979
native_tokens_prompt1080
native_tokens_completion20372
native_tokens_completion_images(null)
native_tokens_reasoning17645
native_tokens_cached512
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)
usage0.2049584
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.1; linux; x64))"
http_referer(null)
request_id"req-1793101306-iz2dMIOqS4up9oTn7zay"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1793101306-Ok9xXPopF8GJlrWINhNA"
upstream_id"chatcmpl-6ae08dfa45ef637c96a5f643"
provider_responses
0
endpoint_id"a3fafaac-f097-4ef1-86b3-842854dad5c6"
id"chatcmpl-6ae08dfa45ef637c96a5f643"
is_byokfalse
latency1883
model_permaslug"moonshotai/kimi-k3.1-pro-20261023"
provider_name"Moonshot AI"
status200
total_cost0.2049584
cache_discount0.0009216
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
totalTags6
adverbTagCount0
adverbTags(empty)
dialogueSentences133
tagDensity0.045
leniency0.09
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1979
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
89.89% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1979
totalAiIsms4
found
0
word"wavering"
count1
1
word"racing"
count2
2
word"silence"
count1
highlights
0"wavering"
1"racing"
2"silence"
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
narrationSentences115
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences115
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences242
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1979
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions23
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions90
wordCount1078
uniqueNames10
maxNameDensity3.71
worstName"Eva"
maxWindowNameDensity6
worstWindowName"Eva"
discoveredNames
Raven1
Nest1
Carter1
Yu-Fei2
Cheung1
Blackwood1
Aurora35
Eva40
One1
Silas7
persons
0"Raven"
1"Carter"
2"Yu-Fei"
3"Cheung"
4"Blackwood"
5"Aurora"
6"Eva"
7"Silas"
places
0"One"
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences89
glossingSentenceCount0
matches(empty)
98.94% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords1.011
wordCount1979
matches
0"neither laugh nor"
1"not closing but rearranging itself around an obligation"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences242
matches
0"noticed that she"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs188
mean10.53
std11.51
cv1.094
sampleLengths
070
121
257
35
44
56
66
71
82
961
1047
112
122
136
147
1518
163
172
1818
1948
2013
212
222
232
244
254
262
2711
2813
2914
303
314
326
331
348
355
366
376
3833
393
404
415
425
434
4420
4510
4627
475
481
4910
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences115
matches
0"was folded"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs174
matches
0"was ruining"
1"was showing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount3
flaggedSentences3
totalSentences242
ratio0.012
matches
0"At nineteen she had cut her hair with kitchen scissors whenever life bored her; now it lay in a smooth knot at the nape of her neck."
1"The laugh had altered something in her face; for an instant the suit fitted less well."
2"Aurora had forgotten the small gap between her front teeth; it appeared when a smile got away from her."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1081
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.014801110083256245
lyAdverbCount1
lyAdverbRatio0.0009250693802035153
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences242
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences242
mean8.18
std6.48
cv0.792
sampleLengths
017
126
213
314
413
58
618
716
86
917
105
114
126
136
141
152
162
1727
188
1924
206
217
2214
239
2411
252
262
276
287
293
3015
313
322
3318
3412
354
3619
3713
3813
392
402
412
424
434
442
4511
466
477
4814
493
46.69% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.2768595041322314
totalSentences242
uniqueOpeners67
31.75% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences105
matches
0"Then she laughed, and two"
ratio0.01
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences105
matches
0"He took in Aurora’s soaked"
1"His silver signet ring clicked"
2"She folded it in half,"
3"It had creased school worksheets,"
4"Her raincoat was folded over"
5"She rose without the old"
6"They met beside the crossword"
7"Her gaze moved over Aurora’s"
8"He gathered his newspaper and"
9"He had a talent for"
10"She turned her glass between"
11"She lifted her hand, and"
12"Their faces were pale ovals"
13"She had filled it with"
14"She caught it before it"
15"She set the ring straight"
16"She took a mouthful anyway."
17"She stopped and shook her"
18"He had abandoned the racing"
19"Her face changed, not closing"
ratio0.219
21.90% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount92
totalSentences105
matches
0"Rain had broken the green"
1"Aurora Carter pushed through the"
2"Silas Blackwood stood behind the"
3"He took in Aurora’s soaked"
4"His silver signet ring clicked"
5"She folded it in half,"
6"Aurora recognised that small, exact"
7"It had creased school worksheets,"
8"The woman looked up."
9"Aurora’s hand stilled inside the"
10"Her raincoat was folded over"
11"She rose without the old"
12"They met beside the crossword"
13"The delivery bag knocked against"
14"Aurora shifted it, and they"
15"Eva’s perfume caught at the"
16"Eva drew back."
17"Her gaze moved over Aurora’s"
18"Silas set a soda and"
19"Aurora glanced at him."
ratio0.876
47.62% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences105
matches
0"Now she let it stand"
ratio0.01
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences43
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags6
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount0
fancyTags(empty)
dialogueSentences133
tagDensity0.038
leniency0.075
rawRatio0
effectiveRatio0
87.8932%