Run: 2026-04-24-01KQ0AQ8GXJVQ2KEX00458YJFF

Run Details

Duration:
37.6s
Cost:
$0.005759
Provider:
Xiaomi

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 bell above the door of The Raven’s Nest chimed, a sound that hadn’t changed in six years. Neither had the smell: stale beer, old wood, and the faint, citrusy tang of Silas’s pipe tobacco. Aurora Carter paused just inside, letting the door swing shut behind her. The green neon glow from the sign outside bled through the frosted glass, casting long, eerie shadows over the empty booths. It was early, the after-work rush yet to descend. A lonely hour. Behind the bar, a figure stood with his back to her, meticulously arranging glasses. The grey in his auburn hair had conquered more territory. His shoulders were broader, carrying a new weight that wasn't muscle. He turned, wiping his hands on a towel, and his hazel eyes met hers across the dim expanse. “Silas,” she said. His hand, the one with the heavy silver signet ring, stilled on the towel. A long breath passed through him. “Rory Carter.” He didn’t smile, but the lines around his eyes softened. “You look… different.” “Long time.” She crossed the worn floorboards, the sound of her boots swallowed by the quiet. She slid onto a stool. The wood was cool beneath her palms. “Place looks the same.” “People don’t come for renovations.” He placed a coaster in front of her. “The usual?” “I didn’t think you’d remember.” “I remember everything, luv. Guinness, bottle, not draught. You complained the tap head here was always filthy.” He moved with a practiced economy, but there was a slight hitch in his step, a favouring of his left leg that seemed more pronounced. He set the dark bottle before her, the glass cold and beaded with condensation. She took a long swallow. The bitter taste was a memory coming back to life. “Still good at that.” “Remembering?” He leaned on the bar, the light catching the worn edges of his ring. “It’s a curse in this business. Remembering faces, names, debts. Remembering the girl who used to hide in the back booth with her law books, trying to look invisible.” Aurora looked down at her hands. The small, crescent-shaped scar on her left wrist was pale against her skin. “She’s not here anymore.” Silas poured himself a short measure of amber liquid. “No. She isn’t. You ran off to London to get away from that Evan prick. Eva told me. Said you were going to be a hotshot solicitor.” He took a sip, his gaze sharp over the rim of the glass. “So?” “So what?” “So where’s the solicitor? You’re wearing riding leathers and there’s mud on your boots that looks like it came from the Welsh marshes, not a London pavement.” A ghost of a smile touched her lips. “Plans change. I deliver food for Yu-Fei Cheung now. The Golden Empress.” She watched for his reaction, a flicker of disappointment, of judgment. There was none. Just quiet assessment. “A delivery rider.” He said it like he was filing the information away. “What happened to the law?” “Life happened. Evan happened. Then London happened, and it was… loud. And fast. And I realised I didn’t want to argue for a living. I wanted to move. Get out, deliver the food, go home.” She spun the bottle on the coaster. “It’s simpler.” “Simple.” Silas tasted the word. “Since when did Aurora Carter settle for simple?” “Since Rory Carter realised complex just meant more places to get cut.” She gestured around the bar. “What about you? Still the Spymaster?” He gave a dry, quiet laugh. “Just a publican now. Pour pints, mind my own business.” “Somehow I doubt that.” She pointed her bottle at the wall behind him, at the old maps of Berlin and Prague pinned between black-and-white photos of strangers. “The business never really leaves you, does it?” His expression closed off, like a door shutting. “Some doors are best left shut.” An unspoken thing hung between them, heavy and wet as a London fog. The botched op. The knee. His retirement. The reason he was here, and not out there, in the world of shadows he’d once navigated. He’d given her a safe haven once, this bar. A place to hide from Evan’s texts, to study, to be. And she’d run from that safety without a word. “You never called,” he said, his voice low. “After you left. Not once.” “I needed a clean break. From everything. From Cardiff, from Evan… from being Rory.” She met his gaze, holding it. “I go by Malphora now.” “Malphora.” He repeated it, slow and careful, like tasting a strange vintage. “Aurora was too bright for you?” “It was his name for me. The one he’d whisper like it was something precious.” A shiver went through her that had nothing to do with the bar’s chill. “I buried her. Along with all the rest of it.” Silas was quiet for a long moment. He polished a glass that was already clean. “You can’t bury it all, luv. The dead have a way of clawing back to the surface.” “Is that what you’re doing here? Tending to ghosts?” Her voice came out sharper than she intended. His eyes flashed. “I’m tending to a bar. And to my own damn business. Something you clearly forgot the meaning of when you vanished.” The words stung. “I was twenty. I was scared. I thought I was saving myself.” “By becoming someone else?” He set the glass down with a soft click. “That’s not saving, that’s hiding. And it’s a poor foundation. It always cracks.” She wanted to argue, to tell him how wrong he was. But the weight of the years between them pressed down, a physical force. He saw her. Not Malphora, the rider, the ghost. He saw Rory, the girl who’d trusted him, who’d used his bar as a refuge, and who’d fled without a backward glance. “I’m sorry,” she said. The words were small, inadequate. He looked away, out at the darkening street. His jaw worked. “Water under the bridge. A lot of water.” He refilled his glass. “You staying in London?” “For now. Got a flat above a chippy in Brixton. It’s loud. Smells of frying oil.” “Not quite Soho.” “No.” She finished her Guinness. “It’s mine, though. The noise, the smell. All of it.” She stood, digging for her wallet. “Put it away,” he said, his tone leaving no room for argument. “House call. Old friends and all that.” She hesitated, then nodded. “Thanks, Silas.” He grunted, already turning to put the bottle away. She was halfway to the door when his voice stopped her. “Rory.” She turned. He was watching her, his hazel eyes holding a deep, familiar concern she hadn’t realised she’d missed until this moment. “That flat above the chippy. If you ever need a quiet booth… the door’s always open. It’s still here. It was always here.” The offer hung in the air, a lifeline to a self she’d killed. She gave a small, tight nod, not trusting her voice, and pushed out into the London evening. The green neon sign hummed above her, a constant in a city of change. She walked away, the ghost of the bar clinging to her, the weight of Silas’s unspoken disappointment a new kind of scar to carry.
created_at"2026-04-24T18:06:06.886Z" 4/24/2026, 6:06:06 PM
model"xiaomi/mimo-v2.5-pro-20260422"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1072
moderation_latency(null)
generation_time37517
tokens_prompt1094
tokens_completion2144
native_tokens_prompt1010
native_tokens_completion1839
native_tokens_completion_images(null)
native_tokens_reasoning201
native_tokens_cached960
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"
usage0.005759
router(null)
provider_responses
0
endpoint_id"5c24ecc9-5ba1-4af0-8877-3402889e7d0a"
id"7d4f9107d468454a823e9a7d94703772"
is_byokfalse
latency982
model_permaslug"xiaomi/mimo-v2.5-pro-20260422"
provider_name"Xiaomi"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777053966-E3397rLIppEzqa2vL8Km"
session_id(null)
api_type"completions"
id"gen-1777053966-qZSRYP3GFi4Clak7MmhM"
upstream_id"7d4f9107d468454a823e9a7d94703772"
total_cost0.005759
cache_discount0.000768
upstream_inference_cost0
provider_name"Xiaomi"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags24
adverbTagCount1
adverbTags
0"She gestured around [around]"
dialogueSentences56
tagDensity0.429
leniency0.857
rawRatio0.042
effectiveRatio0.036
95.86% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1209
totalAiIsmAdverbs1
found
0
adverb"really"
count1
highlights
0"really"
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)
54.51% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1209
totalAiIsms11
found
0
word"weight"
count3
1
word"flicker"
count1
2
word"complex"
count1
3
word"unspoken"
count2
4
word"navigated"
count1
5
word"whisper"
count1
6
word"chill"
count1
7
word"familiar"
count1
highlights
0"weight"
1"flicker"
2"complex"
3"unspoken"
4"navigated"
5"whisper"
6"chill"
7"familiar"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"hung in the air"
count1
highlights
0"hung in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences78
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences78
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences110
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
totalWords1209
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions18
wordCount746
uniqueNames12
maxNameDensity0.67
worstName"Silas"
maxWindowNameDensity1
worstWindowName"Silas"
discoveredNames
Raven1
Nest1
Silas5
Carter1
Aurora2
Berlin1
Prague1
London2
Evan1
Malphora1
Rory1
Guinness1
persons
0"Raven"
1"Nest"
2"Silas"
3"Carter"
4"Aurora"
5"Evan"
6"Rory"
places
0"Berlin"
1"Prague"
2"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences56
glossingSentenceCount1
matches
0"seemed more pronounced"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1209
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences110
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs45
mean26.87
std18.38
cv0.684
sampleLengths
080
153
23
335
432
515
65
756
819
944
1023
1150
122
1327
1437
1518
1644
1713
1823
1916
2035
2114
2266
2313
2425
2518
2639
2732
2817
2924
3015
3126
3255
339
3427
3516
363
3721
3819
396
4020
411
4222
4323
4468
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences78
matches(empty)
95.01% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs127
matches
0"was filing"
1"was watching"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences110
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount750
adjectiveStacks1
stackExamples
0"small, crescent-shaped scar"
adverbCount15
adverbRatio0.02
lyAdverbCount3
lyAdverbRatio0.004
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences110
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences110
mean10.99
std8.39
cv0.763
sampleLengths
018
117
212
321
49
53
614
710
811
918
103
1114
126
1312
143
1516
165
177
184
1913
202
215
2242
2314
245
2510
264
2715
2829
296
3013
314
329
3340
341
352
3627
378
3823
393
403
4113
425
4342
442
455
468
4717
486
496
59.70% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.39090909090909093
totalSentences110
uniqueOpeners43
45.66% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences73
matches
0"Just quiet assessment."
ratio0.014
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount43
totalSentences73
matches
0"It was early, the after-work"
1"His shoulders were broader, carrying"
2"He turned, wiping his hands"
3"His hand, the one with"
4"He didn’t smile, but the"
5"She crossed the worn floorboards,"
6"She slid onto a stool."
7"He placed a coaster in"
8"He moved with a practiced"
9"He set the dark bottle"
10"She took a long swallow."
11"He leaned on the bar,"
12"He took a sip, his"
13"She watched for his reaction,"
14"He said it like he"
15"She spun the bottle on"
16"She gestured around the bar"
17"He gave a dry, quiet"
18"She pointed her bottle at"
19"His expression closed off, like"
ratio0.589
1.10% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount67
totalSentences73
matches
0"The bell above the door"
1"Neither had the smell: stale"
2"Aurora Carter paused just inside,"
3"The green neon glow from"
4"It was early, the after-work"
5"A lonely hour."
6"The grey in his auburn"
7"His shoulders were broader, carrying"
8"He turned, wiping his hands"
9"His hand, the one with"
10"A long breath passed through"
11"He didn’t smile, but the"
12"She crossed the worn floorboards,"
13"She slid onto a stool."
14"The wood was cool beneath"
15"He placed a coaster in"
16"He moved with a practiced"
17"He set the dark bottle"
18"She took a long swallow."
19"The bitter taste was a"
ratio0.918
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences73
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences25
technicalSentenceCount1
matches
0"His shoulders were broader, carrying a new weight that wasn't muscle."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags24
uselessAdditionCount6
matches
0"She crossed, the sound of her boots swallowed by the quiet"
1"He leaned, the light catching the worn edges of his ring"
2"He took, his gaze sharp over the rim of the glass"
3"She watched, a flicker of disappointment, of judgment"
4"he said, his voice low"
5"he said, his tone leaving no room for argument"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount1
fancyTags
0"He repeated (repeat)"
dialogueSentences56
tagDensity0.107
leniency0.214
rawRatio0.167
effectiveRatio0.036
81.5280%