Run: 2026-07-25-01KYD52YPY8J1YSD7JB7B9R4B3

Run Details

Duration:
4m 31s
Cost:
$0.107372
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 neon sign above the Raven's Nest had been buzzing since October, a green halo humming against the Soho dark, breaking apart in the puddles on the pavement. Aurora came in with the last of the rain on her shoulders, delivery bag slung across her back, and hung her jacket on the third hook without being asked. Silas set a glass in front of her before she'd climbed onto the stool. "If that's the cooking sherry again, I'm going home." "It's the good Rioja and you know it. Mr Cheung rang. He says you left before he could feed you, and that I'm to make up the deficit." "He says that every night." "And every night you believe him about as much as I do." She took the wine. He took up his cloth and went back to polishing glasses that already shone, the silver signet on his right hand winking under the low lamps. Outside, the rain worked the gutters. Inside, the maps on the walls held their old borders and the black-and-white photographs held their dead. The door opened and let the rain in first. The man who followed it folded his umbrella with both hands, unhurried, the way a person handles an instrument they no longer trust. He stood in the dim a moment and let his eyes travel the room — the bar, the exits, the maps, the photographs — in an order Aurora recognised, because she'd watched Silas do it a hundred times. The cloth in Silas's hand stopped moving. He was tall, the stranger. Or he had been once. Now he carried his height folded inward, an expensive coat hanging off a frame that had shrunk away from it, hair gone the colour of ash. His face did the arithmetic of the room and found Silas, and something moved through it that never reached a smile. "Ned." "Silas." The smile arrived late, like a letter forwarded from an old address. "You look like a man who owns a bar." "They let you out." "In April." Ned laid the umbrella across the stool beside him, precise, handle squared to the edge. "I wrote to the old address. Someone wrote back. One line. *Mr Blackwood is no longer in this parish.* So I asked a man who lies for a living where the liars drink. He didn't even hesitate." Silas came out from behind the bar. Ned's eyes dropped to the left leg, the hitch in the step, and stayed there. "Still raining in the knee?" "Every November." "You told me once it sang before thunderstorms." "I lied. It sings whenever it likes." Ned pushed off from the door and wandered the walls the way other men wander museums. He stopped at the photographs. Leaned in. His hand rose and touched the glass of one — two young men on a bridge in the snow, collars up, laughing at something outside the frame. "Budapest?" "Berlin. Christmas, '91." "Look at the size of your collar." "Look at your hair." "I had hair." His fingertips rested on the younger version of himself. "You kept it on the wall, Si. All these years. I find that—" He hunted for the word and gave up on it. Silas reached for the Talisker. "Tea," Ned said. "If the establishment runs to it." The hand holding the bottle checked mid-air. Set it down. "Tea." "The stomach didn't survive the hospitality. Neither did most of the teeth. You don't want the inventory." While the kettle worked, Ned took a stool and folded his napkin in half, and half again, aligning the edges with a care that had nothing to do with tidiness. Smaller. Smaller still. Aurora watched his hands and found her thumb tracing the small crescent scar on her left wrist, an old habit she'd never trained out of herself. "Your friend's been reading the same page since I walked in," Ned said, without looking round. "You were doing the talking. I was doing the sums." "And what do the sums come to?" "That he didn't know about April." She closed the paperback. "Whatever else you've brought in with you, take that one off the bill." The room held still. Rain in the gutters. The kettle clicked off and neither man moved towards it. "Ned, this is Aurora. She lives above the shop and misses nothing." "Misses nothing and says everything, by the look of her." Ned studied her the way he'd studied the exits, and she let him. "Hands don't lie," he said at last. "Faces practise. Yours hasn't practised enough yet." "I'll take that as a compliment." "You should. It's the only one I've got left." Silas poured the tea. His signet ring tapped twice against the pot — a sound Aurora had learned to read months ago, the tell he thought no one had. "I didn't know," he said, to the bar top more than to Ned. "On my life. The arrangement was — they pensioned me and closed the door. I asked, the first year. I was told visits were inadvisable. For you. That was the word. *Inadvisable.*" The ring tapped again. "And I let it be true, because it was easier. I want that on the record. It was easier, and I took the easier." "Three letters reached me," Ned said. "Out of how many?" "Eleven." "Eleven." He turned the folded napkin over. "I had the one about the dog until the paper went to cloth. They searched the cell and took it in the end. I missed that dog more than I missed some people." "There was no dog." "I know. I invented him so the censors would feel something." Ned's mouth twitched. "Worked on you, didn't it." For a second the years slid off them both, and Aurora saw it — the shape of what they'd been, two men who lied for a living and told each other the truth in safe houses, finishing each other's sentences in four languages. "You used to start the singing," Silas said. "That place in Lisbon. The parrot." "The parrot was a recording." "Everything was a recording." Ned drank his tea. His hand trembled on the way up and he set the cup down before it could announce itself, but Aurora had seen, and Silas had seen her see. "I catch it in shop windows," Ned said. "This folded-up man. I used to be the loud one, Si. Do you remember? I used to fill a doorway. Now I stand in a room and wait to find out what it wants from me before I breathe in it. Eight years of that. You'd think the body would forget. The body keeps its books better than the mind." "Ned—" "Don't." Not loud. The word did its work anyway. "I didn't come for the apology. I carried one round with me for years, the one I was going to get, all polished up. Then April came and I walked out with a paper bag and forty euros, and the apology didn't fit anywhere. Too heavy for the bag." Silas looked at him a long moment. Then he came round the bar, limped past the stools to the far wall, and pressed something in the frame of the bookshelf. A catch gave. The shelf swung inward on a silent hinge, opening on lamplight and a green baize table and the close, windowless dark of the room behind it. "We can talk properly," Silas said. Ned looked at the open door. At Aurora. At the photograph of the young man with the hair. He got down off the stool — it cost him something, the getting down, though he arranged his face so it wouldn't show — and crossed to the threshold with one hand trailing the bar for a balance he didn't need. There he stopped, and looked back at the wall. "Berlin," he said. "I remember being him." Then he ducked his head and went through into the lamplight. Silas followed, limping, and the shelf swung to behind them, leaving Aurora alone with the rain, two glasses gone cold, and a napkin folded small as a postage stamp.
created_at"2026-07-25T17:27:38.982Z" 7/25/2026, 5:27:38 PM
model"moonshotai/kimi-k3-20260715"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4072
moderation_latency(null)
generation_time270336
tokens_prompt1063
tokens_completion7509
native_tokens_prompt1081
native_tokens_completion6988
native_tokens_completion_images(null)
native_tokens_reasoning5257
native_tokens_cached256
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.1073718
router(null)
provider_responses
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endpoint_id"650c9b12-7b6d-444d-8d92-df8daef84d7a"
id"chatcmpl-6a64f1fbe928ed0a0d3876a1"
is_byokfalse
latency4072
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-1785000458-rEhVQYqWp6T1ehSdWrBh"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785000458-RaNq055mtv9YMaTTmzBE"
upstream_id"chatcmpl-6a64f1fbe928ed0a0d3876a1"
total_cost0.1073718
cache_discount0.0006912
upstream_inference_cost0
provider_name"Moonshot AI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags18
adverbTagCount2
adverbTags
0"The smile arrived late [late]"
1"The ring tapped again [again]"
dialogueSentences58
tagDensity0.31
leniency0.621
rawRatio0.111
effectiveRatio0.069
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1349
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)
88.88% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1349
totalAiIsms3
found
0
word"stomach"
count1
1
word"tracing"
count1
2
word"trembled"
count1
highlights
0"stomach"
1"tracing"
2"trembled"
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
narrationSentences67
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences67
filterMatches
0"see"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences106
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen61
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords9
totalWords1357
ratio0.007
matches
0"Mr Blackwood is no longer in this parish."
1"Inadvisable."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions19
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions38
wordCount808
uniqueNames8
maxNameDensity1.61
worstName"Ned"
maxWindowNameDensity3.5
worstWindowName"Ned"
discoveredNames
Raven1
Nest1
October1
Soho1
Aurora8
Silas12
Ned13
Talisker1
persons
0"Raven"
1"Nest"
2"Aurora"
3"Silas"
4"Ned"
places
0"Soho"
globalScore0.696
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences40
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1357
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences106
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs62
mean21.89
std21.05
cv0.962
sampleLengths
057
114
29
328
45
512
653
79
861
97
1057
111
1222
134
1454
1522
165
172
188
197
2050
211
223
237
244
2535
265
279
2810
291
3017
3159
3216
3310
347
3523
3618
3712
3837
396
409
4129
4273
4310
441
4540
464
4719
4843
4914
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences67
matches
0"being asked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs143
matches(empty)
8.09% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences5
totalSentences106
ratio0.047
matches
0"He stood in the dim a moment and let his eyes travel the room — the bar, the exits, the maps, the photographs — in an order Aurora recognised, because she'd watched Silas do it a hundred times."
1"His hand rose and touched the glass of one — two young men on a bridge in the snow, collars up, laughing at something outside the frame."
2"His signet ring tapped twice against the pot — a sound Aurora had learned to read months ago, the tell he thought no one had."
3"For a second the years slid off them both, and Aurora saw it — the shape of what they'd been, two men who lied for a living and told each other the truth in safe houses, finishing each other's sentences in four languages."
4"He got down off the stool — it cost him something, the getting down, though he arranged his face so it wouldn't show — and crossed to the threshold with one hand trailing the bar for a balance he didn't need."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount804
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.01990049751243781
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences106
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences106
mean12.8
std11.8
cv0.922
sampleLengths
028
129
214
39
428
55
612
74
826
96
1017
119
1223
1338
147
155
165
1726
1821
191
2013
219
224
2317
2437
257
2615
275
282
298
307
3116
325
332
3427
351
363
377
384
3912
4023
415
423
436
447
453
461
4717
4830
491
72.33% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.46226415094339623
totalSentences106
uniqueOpeners49
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences56
matches
0"Then he came round the"
1"Then he ducked his head"
ratio0.036
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount16
totalSentences56
matches
0"She took the wine."
1"He took up his cloth"
2"He stood in the dim"
3"He was tall, the stranger."
4"His face did the arithmetic"
5"He stopped at the photographs."
6"His hand rose and touched"
7"His fingertips rested on the"
8"He hunted for the word"
9"She closed the paperback"
10"he said at last"
11"His signet ring tapped twice"
12"he said, to the bar"
13"He turned the folded napkin"
14"His hand trembled on the"
15"He got down off the"
ratio0.286
58.21% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount45
totalSentences56
matches
0"The neon sign above the"
1"Aurora came in with the"
2"Silas set a glass in"
3"She took the wine."
4"He took up his cloth"
5"The door opened and let"
6"The man who followed it"
7"He stood in the dim"
8"The cloth in Silas's hand"
9"He was tall, the stranger."
10"His face did the arithmetic"
11"The smile arrived late, like"
12"Ned laid the umbrella across"
13"Silas came out from behind"
14"Ned's eyes dropped to the"
15"Ned pushed off from the"
16"He stopped at the photographs."
17"His hand rose and touched"
18"His fingertips rested on the"
19"He hunted for the word"
ratio0.804
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences56
matches
0"Now he carried his height"
1"While the kettle worked, Ned"
ratio0.036
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences24
technicalSentenceCount1
matches
0"For a second the years slid off them both, and Aurora saw it — the shape of what they'd been, two men who lied for a living and told each other the truth in saf…"
97.22% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags18
uselessAdditionCount1
matches
0"Ned said, without looking round"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags9
fancyCount0
fancyTags(empty)
dialogueSentences58
tagDensity0.155
leniency0.31
rawRatio0
effectiveRatio0
92.4910%