Run: 2026-09-25-01M3CKGA5MZHPSZ9EXZNS1E5GE

Run Details

Duration:
11.2s
Cost:
$0.010537
Provider:
Mistral

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 sign of The Raven’s Nest flickered once, twice, before settling into its usual hum. The door swung open, letting in a gust of damp London air. Aurora Carter stepped inside, shaking rain from her jacket. The bar smelled of aged wood and something sharper—whiskey, maybe, or the ghost of old secrets. Silas looked up from polishing a glass. His hazel eyes narrowed just a fraction before recognition settled in. The glass hit the counter with a soft clink. "Well. Look what the storm dragged in." Aurora froze mid-step. The voice was older, rougher, but unmistakable. She turned, and there he was—Silas Blackwood, leaning against the bar like he owned the place. Which, she supposed, he did. "Silas." Her voice came out steadier than she felt. "Didn’t know you still ran this place." "Didn’t know you were back in London." He wiped his hands on a cloth, slow, deliberate. "Thought you’d sworn off the city after... well." She exhaled through her nose. "After Evan? Yeah. But here I am." Silas gestured to the stool beside him. "Sit. Drink’s on the house." She hesitated, then slid onto the worn leather. The bar was quiet tonight—just a few regulars hunched over their drinks, the kind of people who knew better than to eavesdrop. "You look different," Silas said. Aurora smirked. "Five years’ll do that." "Not just the hair." He nodded at her wrist, where the old scar peeked out from under her sleeve. "Still got that, though." She tugged her cuff down. "Some things stick." Silas poured two fingers of amber liquid into a glass and slid it toward her. "What brings you in?" "Work. Delivery for Yu-Fei’s place." She took a sip, let the burn settle. "Heard this was still the best bar in Soho." "Flattery’ll get you everywhere." He leaned against the counter, watching her. "You’re not here just for a drink." She met his gaze. "No. But I didn’t know you’d be here." "Fair enough." He crossed his arms. "So. Rory Carter. Last I heard, you were halfway through a law degree." "Dropped out." She swirled the whiskey. "Turns out, I wasn’t cut out for barrister life." Silas raised an eyebrow. "Since when do you care about being cut out for things?" She shot him a look. "Since I realised I’d rather not spend my life defending rich arseholes." He chuckled, low and dry. "That’s my girl." The words hit her like a punch. *My girl.* Like she was still the reckless twenty-year-old who’d followed him into half-baked schemes just for the thrill of it. "You’re not my anything, Silas." He held up his hands. "Old habit." She drained her glass. "So. What’s your excuse? Thought you’d have retired to some villa by now." "Retired *from* things. Not *to* them." He tapped his signet ring against the bar. "This place keeps me busy." "Busy keeping tabs on everyone, you mean." Silas smirked. "Old habits die hard." A silence settled between them, thick with everything unsaid. The rain outside pattered against the windows. "You ever think about Prague?" she asked quietly. His expression darkened. The limp in his left leg was more pronounced when he shifted his weight. "Every damn day." She nodded. "Yeah. Me too." He studied her—really studied her, like he was trying to reconcile the woman in front of him with the girl he’d known. "You’re not the same." "Neither are you." Silas exhaled, long and slow. "Some changes are for the better." "And some aren’t." He didn’t answer. Instead, he reached under the bar and pulled out a second glass, pouring himself a drink. "You staying in London?" "For now." She traced a finger along the rim of her empty glass. "Got a flat above a bar. Irony’s not lost on me." Silas’ lips twitched. "Which one?" "The Golden Empress’ delivery girl’s flat." He barked a laugh. "Yu-Fei still running that place?" "Like a well-oiled machine." Silas shook his head, amused. "You always did land on your feet." She shrugged. "Mostly." The air between them was charged, like the moment before a storm breaks. She could see the questions in his eyes—the ones he wasn’t asking. *Why’d you leave? Why’d you stay away so long? What the hell happened with Evan?* But Silas had never been one to pry. Not unless he had to. "You need a job," he said suddenly. She blinked. "Excuse me?" He wiped the bar between them, slow, methodical. "Part-time. Nothing heavy. Just keeping an eye on things." Aurora stared at him. "You’re offering me work?" "Consider it a favour. For old times’ sake." She should’ve laughed. Should’ve told him she wasn’t some wide-eyed kid anymore, that she didn’t need his handouts. But the truth was, she *did* need the money. And maybe—just maybe—she wanted the excuse to stick around. "What kind of work?" Silas’ eyes gleamed. "The kind you’re good at." She held his gaze. "And what’s that?" He smiled, just a little. "Not getting caught."
created_at"2026-09-25T15:38:51.452Z" 9/25/2026, 3:38:51 PM
model"mistralai/mistral-medium-3.5-20260430"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency744
moderation_latency(null)
generation_time11163
tokens_prompt1063
tokens_completion1273
native_tokens_prompt1025
native_tokens_completion1200
native_tokens_completion_images(null)
native_tokens_reasoning0
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"default"
usage0.0105375
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790350731-IINdXb3TosMm1BPo2xoH"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790350731-2XSff2VssivBeISEGR59"
upstream_id"9527219a1f5540f2837b39fbeceeb0af"
provider_responses
0
endpoint_id"d21d316f-d540-4718-b36e-3beff85d0cf9"
id"9527219a1f5540f2837b39fbeceeb0af"
is_byokfalse
latency739
model_permaslug"mistralai/mistral-medium-3.5-20260430"
provider_name"Mistral"
status200
total_cost0.0105375
cache_discount(null)
upstream_inference_cost0
provider_name"Mistral"
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
totalTags12
adverbTagCount2
adverbTags
0"she asked quietly [quietly]"
1"he said suddenly [suddenly]"
dialogueSentences57
tagDensity0.211
leniency0.421
rawRatio0.167
effectiveRatio0.07
88.01% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount834
totalAiIsmAdverbs2
found
0
adverb"really"
count1
1
adverb"suddenly"
count1
highlights
0"really"
1"suddenly"
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)
58.03% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount834
totalAiIsms7
found
0
word"flickered"
count1
1
word"eyebrow"
count1
2
word"silence"
count1
3
word"weight"
count1
4
word"traced"
count1
5
word"charged"
count1
6
word"methodical"
count1
highlights
0"flickered"
1"eyebrow"
2"silence"
3"weight"
4"traced"
5"charged"
6"methodical"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
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
filterCount0
hedgeCount0
narrationSentences67
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences114
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen24
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans5
markdownWords20
totalWords827
ratio0.024
matches
0"My girl."
1"from"
2"to"
3"Why’d you leave? Why’d you stay away so long? What the hell happened with Evan?"
4"did"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
53.66% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions20
wordCount519
uniqueNames8
maxNameDensity1.93
worstName"Silas"
maxWindowNameDensity3
worstWindowName"Silas"
discoveredNames
Raven1
Nest1
London1
Carter1
Silas10
Blackwood1
Aurora4
Like1
persons
0"Raven"
1"Nest"
2"Carter"
3"Silas"
4"Blackwood"
5"Aurora"
places
0"London"
globalScore0.537
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences36
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount827
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences114
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs57
mean14.51
std10.36
cv0.714
sampleLengths
054
127
27
331
416
524
612
712
830
95
106
1123
128
1319
1422
1518
1612
1719
1815
1915
2017
218
2228
235
247
2517
2619
277
286
2916
308
3120
325
3326
343
3511
363
3723
3824
395
406
419
424
4312
443
4540
4613
477
484
4917
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences67
matches(empty)
65.32% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs99
matches
0"was trying"
1"wasn’t asking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences6
totalSentences114
ratio0.053
matches
0"The bar smelled of aged wood and something sharper—whiskey, maybe, or the ghost of old secrets."
1"She turned, and there he was—Silas Blackwood, leaning against the bar like he owned the place."
2"The bar was quiet tonight—just a few regulars hunched over their drinks, the kind of people who knew better than to eavesdrop."
3"He studied her—really studied her, like he was trying to reconcile the woman in front of him with the girl he’d known."
4"She could see the questions in his eyes—the ones he wasn’t asking."
5"And maybe—just maybe—she wanted the excuse to stick around."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount528
adjectiveStacks0
stackExamples(empty)
adverbCount19
adverbRatio0.03598484848484849
lyAdverbCount3
lyAdverbRatio0.005681818181818182
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences114
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences114
mean7.25
std4.66
cv0.642
sampleLengths
017
112
29
316
47
511
69
77
83
97
1016
115
129
137
1416
158
165
177
187
195
208
2122
225
232
244
2519
264
275
283
2915
304
3113
329
3311
347
354
368
376
3813
396
409
414
4211
435
4412
455
463
477
4821
495
70.47% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.43859649122807015
totalSentences114
uniqueOpeners50
54.64% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences61
matches
0"Instead, he reached under the"
ratio0.016
23.28% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences61
matches
0"His hazel eyes narrowed just"
1"She turned, and there he"
2"Her voice came out steadier"
3"He wiped his hands on"
4"She exhaled through her nose."
5"She hesitated, then slid onto"
6"He nodded at her wrist,"
7"She tugged her cuff down."
8"She took a sip, let"
9"He leaned against the counter,"
10"She met his gaze."
11"He crossed his arms"
12"She swirled the whiskey"
13"She shot him a look."
14"He chuckled, low and dry."
15"He held up his hands."
16"She drained her glass."
17"He tapped his signet ring"
18"she asked quietly"
19"His expression darkened."
ratio0.492
41.97% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount51
totalSentences61
matches
0"The green neon sign of"
1"The door swung open, letting"
2"Aurora Carter stepped inside, shaking"
3"The bar smelled of aged"
4"Silas looked up from polishing"
5"His hazel eyes narrowed just"
6"The glass hit the counter"
7"Aurora froze mid-step."
8"The voice was older, rougher,"
9"She turned, and there he"
10"Her voice came out steadier"
11"He wiped his hands on"
12"She exhaled through her nose."
13"Silas gestured to the stool"
14"She hesitated, then slid onto"
15"The bar was quiet tonight—just"
16"He nodded at her wrist,"
17"She tugged her cuff down."
18"Silas poured two fingers of"
19"She took a sip, let"
ratio0.836
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences61
matches(empty)
ratio0
47.62% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences15
technicalSentenceCount2
matches
0"The bar was quiet tonight—just a few regulars hunched over their drinks, the kind of people who knew better than to eavesdrop."
1"*My girl.* Like she was still the reckless twenty-year-old who’d followed him into half-baked schemes just for the thrill of it."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences57
tagDensity0.053
leniency0.105
rawRatio0
effectiveRatio0
80.1001%