Run: 2026-10-27-01M5YG6SHZER9W78ZJBNC82B4F

Run Details

Duration:
13m 55s
Cost:
$0.233408
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
Aurora came in out of the rain with the Golden Empress delivery bag hooked over one shoulder and a damp receipt pinched between her teeth. The green neon above The Raven’s Nest ticked behind her, then settled. Inside, the lamps made small amber pools along the bar. Two men argued over a crossword beneath an old map of the London docks; beyond them, black-and-white faces watched from Silas’s photographs with the patience of people who had nowhere left to be. Silas stood drying a glass that already shone. His grey-streaked beard hid most of his expression, but not the part that concerned her punctuality. “You’re late.” Aurora freed the receipt. “A woman on Berwick Street changed her mind about noodles.” “And the noodles?” “I ate the evidence.” “Carter?” The woman on the last bar stool had one hand around a whisky tumbler. Her suit jacket lay folded beside her, dark blue and expensive, with an umbrella resting across it like something confiscated. Rain jewelled her shoes. Aurora knew the face, although her mind first supplied it at nineteen: softer around the mouth, hair escaping a clip, a secondhand rucksack splitting at one seam. “Nia?” Nia’s fingers tightened on the tumbler. “I heard your voice. Then I looked at you and decided it couldn’t be.” “I’ve had this voice for years.” “Your hair used to be longer.” Aurora touched the straight black ends at her shoulder. “It still does the essential work.” Nia laughed, a single unprepared note, and put down her drink. Six years had given her a narrow watch, an ivory blouse and the sort of stillness that came from being listened to in meeting rooms. At nineteen she had blushed when waiters brought the wrong order. Now she looked capable of making a waiter apologise for the menu. Her gaze travelled over Aurora’s delivery jacket and stopped at her left wrist, where the crescent scar showed above the cuff. “Can I buy you a drink?” Nia nodded towards the bag. “Or are you working?” “She’s finished.” Silas took the bag from Aurora’s shoulder, his signet ring knocking against the strap. “And she can stop dripping on my floor in the corner.” Aurora introduced them. Nia offered Silas the careful smile she might once have reserved for someone’s formidable grandmother. He returned it with a brief inclination of his head, then crossed to the other end of the bar, favouring his left knee. They took the table beneath the dock map. Nia sat with her back straight and her umbrella at her feet. Aurora shrugged out of her wet jacket, but kept it over her arm for a few seconds before finding a place for it. “My hearing settled at four,” Nia said. “The firm booked the hotel for two nights, so here I am. Everyone else went to dinner to discuss how surprising it was that the other side paid up.” “Was it surprising?” “No. That’s why they need dinner.” She rubbed at a watermark on the table. “I came in because I liked the sign.” “Silas will be pleased. He thinks the maps bring them in.” “Do they?” “Mostly they bring in men who want to correct them.” Nia smiled. This time she let it remain. She lived in Bristol now. Employment law, mostly. She wrote letters people put off opening and attended meetings in which everyone used the word “candid” as a warning. Aurora delivered for Yu-Fei Cheung six evenings a week, sometimes more if someone was ill. She had a room upstairs with a narrow window and a radiator that worked when struck near the valve. “I know which cafés will give me hot water without making me buy anything,” she said. “I know three routes across Soho that avoid the worst of the delivery bikes. Yu-Fei calls the moped temperamental when he means dangerous.” “Do you like it?” Aurora considered the question rather than stepping around it. “It’s mine. That’s not the same as liking it, but it isn’t nothing.” Nia waited. Once, Rory would have filled any pause with a defence, a joke and three alternative plans before Nia could frame her next question. Now she turned her glass on its coaster and watched the crossword men disagree about a seven-letter word. “Did you finish university?” “No.” “Right.” “You can say you’re surprised.” “I’m not going to make you do all the work of making this easy.” Aurora looked at her then. Nia’s professional composure had developed a crack around the eyes. “Pre-Law was my father’s idea,” Aurora said. “I was busy treating it like mine.” “You were good at it.” “Being good at something isn’t a reason.” “You used to say it was the only reason you did anything.” “I was eighteen. I also thought a leather jacket was weatherproof.” Nia’s smile faltered as Aurora reached for her drink. The scar slid clear of her cuff again. “That’s from my bicycle.” Aurora turned her wrist. “You remember.” “You went over the handlebars outside our house. Mam wrapped your arm in her best tea towel and told you not to bleed on the good seats. Then she drove like a lunatic.” “You cried.” “I thought you’d die and I’d have to explain why I’d dared you.” Nia stared at the small white crescent. “The stain never came out of the towel. She told you it had.” “She was bad at lying.” “Only to you.” Nia’s thumb moved over the base of her glass. “She died last February.” Aurora set her drink down before it knocked against the table. Behind Nia, the names of the old wharves ran in fine print along the map. She tried to read one and lost it between the lines. “When?” “Fourteen months ago. I counted on the train here, for no reason.” “Nia, I’m sorry.” “She asked about you near the end. She wanted to know if you’d stopped arguing with your father.” “What did you tell her?” “That you hadn’t.” Aurora’s mouth moved, though no smile followed. “Then you lied too.” Nia looked down. “At the funeral, I looked for you.” “I didn’t know.” “I know that now.” “You didn’t then.” “No.” The word cost Nia some of her careful posture. She leaned back, away from it. “I was angry. There was a notice online, and your old profile was still there. You were nineteen in the picture. I told myself that covered it.” “I would have come.” “I know.” “Stop saying that if you only learnt it tonight.” One of the crossword men swore at the other, folded the newspaper and left. The remaining man studied the grid with fresh concentration. Silas moved behind the bar, collecting empties without glancing towards their table. Nia turned her wedding band? No—there wasn't one. Better: Nia turned her watch face against her wrist. “I came to the house in Roath once,” she said. “Three years ago. Mam sent me with a lemon cake because she said you could survive a row but not a shortage of cake.” Aurora’s hand stilled on the coaster. “Evan answered.” “He told me you were in Bristol.” “I was upstairs.” Nia’s lips parted. She took a drink, grimaced at it and put the glass aside. “Your coat was on the banister,” she said. “The blue one with the wooden toggles. I could see one sleeve. I told myself people owned more than one coat.” “I didn’t.” “No.” “He said you didn’t stay long.” “I left. I didn’t even leave the cake. I took it home and ate it with Mam, and I let her think you’d become too busy.” Nia pressed her palms together, then pulled them apart. “I should have refused to go.” “He’d have shut the door.” “Then I should have sat on the step.” “You had a train.” Nia’s head came up. “How do you know?” “You always had a train.” The rain strengthened against the windows. Somewhere in the walls, a pipe knocked twice and stopped. “I was hurt,” Nia said. “You hadn’t answered me in months, and there he was in your house, telling me where you were. He looked so at home. I thought you’d chosen a life and shut the door behind you.” “He had.” Nia shut her eyes. Aurora’s voice remained level. “You couldn’t have known.” “Don’t do that.” “Do what?” “Make it tidy.” Nia opened her eyes. “I was twenty-two.” “So was I.” For a while Nia studied the scratch her thumbnail had made in the varnish. Aurora did not help her. The old habits of their friendship offered several exits: a joke, a change of subject, some harmless evidence that they still knew each other. Neither took one. “He didn’t take my phone,” Aurora said. “Not at first. I read your messages.” Nia’s hands went still. “You sent me a photograph of your graduation gown and asked if it made you look like a bat. You sent an article about a woman who swam the Channel when she was fifty-four. Then you asked whether I was alive.” “You remembered the swimmer.” “I liked that she’d taken up something without asking whether there was time for it to become useful.” “Why didn’t you answer?” Aurora rubbed her thumb once over the scar. “I kept waiting for a week when I could tell you I was fine without hating myself for the lie.” “You could have told me you weren’t.” “You’d have come.” “Yes.” “That’s why.” Nia looked towards the bar, but Silas had his back to them. The remaining crossword man had given up and was reading the football scores. “I came anyway,” she said. “I know.” “And left.” “And I stayed. For a while.” Nia nodded. There was anger in it, though Aurora could not tell how much belonged to Evan, how much to her, and how much Nia had reserved for herself. “Eva told me to get on a train,” Aurora said. “She made it sound like a practical problem with a practical solution. That helped.” “I’m glad she did.” “You can be glad and angry.” “I am.” Nia gave a strained laugh. “Mostly at myself, if that improves the arrangement.” “It doesn’t have to improve anything.” “No. I suppose you’d know.” Aurora absorbed that. Nia’s face changed as soon as the words were out. “Sorry.” “Don’t make that tidy either.” Nia nodded again. Aurora thought of Mrs Powell’s kitchen: yellow cupboards, a radio with one missing knob, the blue-striped tea towel that had never been clean again. She thought of Nia at nineteen, leaving Cardiff with her rucksack, and of herself waving from the pavement with Evan’s hand resting at the back of her neck. At the time she had read the pressure as affection. Memory preserved the gesture and refused her original excuse for it. “She missed you,” Nia said. “I missed her too.” Aurora cleared her throat. “I just did it after everyone else.” “There isn’t a queue.” “You know what I mean.” “Yes.” Nia’s voice softened. “I do.” Her phone lit on the table. A message appeared above a photograph of five people crowded around a restaurant table, their faces raised towards the camera. She turned the phone face down. “Dinner?” Aurora asked. “They’ve found a wine list that needs their full attention.” “Your train?” “There isn’t one until morning.” Nia pushed the whisky away. “Could he make tea, or would that damage the place?” Aurora looked towards the bar. Silas had already taken the kettle from its shelf. He filled it without asking who wanted what, then reached for two cups from the back of a cupboard. “He’ll make it,” she said. “He’ll pretend it’s a personal failure.” Nia gathered her jacket from the neighbouring stool. For a second she held it against her chest, as if she might put it on. Then she folded it over the back of her chair and sat down again.
created_at"2026-10-27T10:58:57.225Z" 10/27/2026, 10:58:57 AM
model"moonshotai/kimi-k3.1-pro-20261023"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2141
moderation_latency(null)
generation_time835003
tokens_prompt1063
tokens_completion24295
native_tokens_prompt1080
native_tokens_completion23217
native_tokens_completion_images(null)
native_tokens_reasoning20498
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)
usage0.2334084
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.1; linux; x64))"
http_referer(null)
request_id"req-1793098737-twUj6noKycwvHDzJwgIx"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1793098737-GiTByOppW3GZM6BKG37H"
upstream_id"chatcmpl-6ae083f23be56f8f0548600f"
provider_responses
0
endpoint_id"a3fafaac-f097-4ef1-86b3-842854dad5c6"
id"chatcmpl-6ae083f23be56f8f0548600f"
is_byokfalse
latency2141
model_permaslug"moonshotai/kimi-k3.1-pro-20261023"
provider_name"Moonshot AI"
status200
total_cost0.2334084
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
totalTags24
adverbTagCount0
adverbTags(empty)
dialogueSentences128
tagDensity0.188
leniency0.375
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)
97.47% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1979
totalAiIsms1
found
0
word"affection"
count1
highlights
0"affection"
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
narrationSentences110
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences110
filterMatches
0"watch"
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences213
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen42
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1978
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions39
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions86
wordCount1073
uniqueNames16
maxNameDensity3.45
worstName"Nia"
maxWindowNameDensity7
worstWindowName"Nia"
discoveredNames
Golden1
Empress1
Raven1
Nest1
London1
Silas7
Aurora28
Nia37
Bristol1
Yu-Fei1
Cheung1
Rory1
Evan2
Mrs1
Powell1
Cardiff1
persons
0"Raven"
1"Nest"
2"Silas"
3"Aurora"
4"Nia"
5"Yu-Fei"
6"Cheung"
7"Rory"
8"Evan"
9"Mrs"
10"Powell"
places
0"London"
1"Bristol"
2"Cardiff"
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences69
glossingSentenceCount1
matches
0"appeared above a photograph of five people crowded around a restaurant table, their faces raised towards the camera"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.506
wordCount1978
matches
0"not the same as liking it, but it isn’t nothing"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences213
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs134
mean14.76
std16.06
cv1.088
sampleLengths
080
124
22
314
43
54
61
765
81
920
106
116
1215
1359
1421
1515
1627
1741
1843
1936
203
2122
2211
232
2410
258
2662
2739
284
2922
3043
314
321
331
345
3514
3615
3714
385
397
4012
4111
4217
434
446
4533
462
4733
485
4916
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences110
matches
0"being listened"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs190
matches
0"was reading"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount1
flaggedSentences2
totalSentences213
ratio0.009
matches
0"Two men argued over a crossword beneath an old map of the London docks; beyond them, black-and-white faces watched from Silas’s photographs with the patience of people who had nowhere left to be."
1"No—there wasn't one."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1080
adjectiveStacks0
stackExamples(empty)
adverbCount31
adverbRatio0.028703703703703703
lyAdverbCount1
lyAdverbRatio0.000925925925925926
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences213
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences213
mean9.29
std7.63
cv0.821
sampleLengths
025
112
210
333
48
516
62
74
810
93
104
111
1214
1320
144
1527
161
176
1814
196
206
219
226
2311
2425
2511
2612
2721
2811
294
3016
3111
323
3315
3423
358
3612
3723
387
3929
403
4114
428
4311
442
4510
462
476
485
493
42.57% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats16
diversityRatio0.3004694835680751
totalSentences213
uniqueOpeners64
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences95
matches
0"Once, Rory would have filled"
1"Somewhere in the walls, a"
2"Then she folded it over"
ratio0.032
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount16
totalSentences95
matches
0"His grey-streaked beard hid most"
1"Her suit jacket lay folded"
2"Her gaze travelled over Aurora’s"
3"He returned it with a"
4"They took the table beneath"
5"She rubbed at a watermark"
6"She lived in Bristol now."
7"She wrote letters people put"
8"She had a room upstairs"
9"She tried to read one"
10"She leaned back, away from"
11"She took a drink, grimaced"
12"She thought of Nia at"
13"Her phone lit on the"
14"She turned the phone face"
15"He filled it without asking"
ratio0.168
49.47% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount78
totalSentences95
matches
0"Aurora came in out of"
1"The green neon above The"
2"Silas stood drying a glass"
3"His grey-streaked beard hid most"
4"Aurora freed the receipt."
5"The woman on the last"
6"Her suit jacket lay folded"
7"Rain jewelled her shoes."
8"Aurora knew the face, although"
9"Nia’s fingers tightened on the"
10"Aurora touched the straight black"
11"Nia laughed, a single unprepared"
12"Her gaze travelled over Aurora’s"
13"Nia nodded towards the bag"
14"Silas took the bag from"
15"Aurora introduced them."
16"Nia offered Silas the careful"
17"He returned it with a"
18"They took the table beneath"
19"Nia sat with her back"
ratio0.821
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences95
matches
0"Now she looked capable of"
1"Now she turned her glass"
ratio0.021
76.41% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences43
technicalSentenceCount4
matches
0"Two men argued over a crossword beneath an old map of the London docks; beyond them, black-and-white faces watched from Silas’s photographs with the patience of…"
1"His grey-streaked beard hid most of his expression, but not the part that concerned her punctuality."
2"Aurora thought of Mrs Powell’s kitchen: yellow cupboards, a radio with one missing knob, the blue-striped tea towel that had never been clean again."
3"She thought of Nia at nineteen, leaving Cardiff with her rucksack, and of herself waving from the pavement with Evan’s hand resting at the back of her neck."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags24
uselessAdditionCount1
matches
0"Silas took, his signet ring knocking against the strap"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags13
fancyCount1
fancyTags
0"Nia pressed (press)"
dialogueSentences128
tagDensity0.102
leniency0.203
rawRatio0.077
effectiveRatio0.016
92.1975%