Run: 2026-10-07-01M4AT0QAG3GJDK2H93XV7YP98

Run Details

Duration:
15.6s
Cost:
$0.015067
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 as Rory pushed through the door, the hinge groaning like an old man clearing his throat. The bar smelled of aged wood and something sharper—gin, maybe, or the ghost of a thousand spilled secrets. She shook rain from her jacket, fingers brushing the crescent scar on her wrist. The place was near empty, just a couple of regulars hunched over their drinks and Silas behind the counter, polishing a glass with the slow deliberation of a man who had all the time in the world. She slid onto a stool, the wood smooth under her palms. “Evening, Si.” Silas glanced up, his hazel eyes catching the low light. “Rory. You’re late.” “Traffic.” She tapped the bar. “Usual.” He set down the glass, reached for a bottle of bourbon. “You look like you’ve been dragged through a hedge.” “Flattering.” She rubbed her temple. The day’s deliveries had been relentless, the streets slick with rain, her bike tyres hissing against the pavement. “Just need a drink and a minute to forget my own name.” Silas poured, the amber liquid sloshing into the glass. “Forgetting’s overrated.” She took the drink, let the burn settle in her chest. The bar’s walls were lined with yellowed maps and black-and-white photos—faces she didn’t know, places she’d never been. Silas’ past, frozen in time. She wondered if he ever looked at them and felt the weight of it all. The door creaked open again. A gust of wind sent a flurry of raindrops skittering across the floorboards. Rory didn’t turn. Silas’ gaze flicked past her, his expression shifting—just for a second—into something unreadable. “Well, I’ll be damned.” The voice was rough, like gravel underfoot. Rory turned. A man stood in the doorway, shaking water from his coat. Tall, broad-shouldered, his dark hair streaked with silver at the temples. He wore a long wool overcoat, the kind that spoke of money or at least the illusion of it. His face was older, lined in ways she didn’t remember, but the eyes—sharp, assessing—were the same. Her breath hitched. “Evan.” He stepped forward, the years falling away with each stride. Not the Evan she’d known, though. This one carried himself differently, like a man who’d learned the hard way that the world didn’t bend to his will. His jaw was tighter, his shoulders squared as if bracing against an unseen wind. “Rory.” His voice was softer now, almost hesitant. “Didn’t think I’d find you here.” She gripped her glass. “Didn’t think you’d be looking.” Silas watched them both, his fingers still wrapped around the polishing cloth. He didn’t move, didn’t speak. Just observed, the way he always did. Evan pulled out the stool beside her, the legs scraping against the floor. “I was in town for business. Heard about this place from a colleague.” He glanced at Silas, then back at her. “Small world.” “Not that small.” She took another sip, the bourbon doing little to steady her pulse. “You always had a knack for turning up where you weren’t wanted.” He flinched. Just a little. “Fair.” Silence settled between them, thick as the smoke from the unlit cigarettes behind the bar. The rain outside tapped against the window, a steady rhythm. “You look good,” he said finally. She laughed, sharp and humourless. “Liar.” “Not lying.” His gaze flicked over her—her black hair, the dark circles under her eyes, the way her fingers drummed against the glass. “Different, maybe. But good.” Different. That was one word for it. The last time he’d seen her, she’d been a student, wide-eyed and naive, still believing in things like justice and second chances. Now? Now she delivered food for a living and slept above a bar, her dreams haunted by the ghost of a girl she barely recognised. “What brings you back to London?” she asked. “Work.” He rubbed his thumb along the rim of his empty glass. “Consulting. Security stuff.” “Of course.” She swirled her drink. “Always were the type to play with danger.” “And you weren’t?” She didn’t answer. The past hung between them, a living thing. Silas finally moved, sliding a fresh glass toward Evan. “You want a drink or just here to make my regulars uncomfortable?” Evan’s lips twitched. “Bourbon. Neat.” Silas poured, his movements precise. “You two know each other?” Rory and Evan exchanged a look. “You could say that,” Evan muttered. Silas’ eyes flicked between them, but he didn’t press. He knew better than most that some stories weren’t his to hear. Evan took his drink, held it up in a silent toast. “To old times.” Rory didn’t clink her glass. “To moving on.” He exhaled, a sound like a man deflating. “Still holding a grudge, huh?” “Not a grudge.” She set her glass down. “Just facts.” “Facts.” He repeated the word like it tasted bitter. “Like the fact that I was an arse?” “Among other things.” He leaned forward, elbows on the bar. “I was young. Stupid. Thought I knew everything.” “And now?” “Now I know I don’t.” He rubbed his face. “Look, Rory, I’m not here to rehash the past. I just… I saw you, and I had to say something. Had to see how you were.” “And now you’ve seen.” “Yeah.” He studied her, his gaze lingering on the scar on her wrist. “I’ve seen.” She pulled her sleeve down, covering it. “What do you want, Evan?” “I don’t know.” He took a long sip of his drink. “Maybe just to say I’m sorry.” The words hung there, heavy and raw. She wanted to laugh, to tell him sorry didn’t cut it. But the anger that had once burned so hot inside her had long since cooled to something quieter, something sadder. “You should’ve said that years ago.” “I know.” He stared into his glass. “I was proud. Thought apologising was a sign of weakness.” “And now?” “Now I know it’s the opposite.” Silas wiped down the counter, his movements slow, deliberate. He didn’t look at them, but Rory knew he was listening. The bar had a way of making people talk, of pulling secrets out into the open like a magician’s trick. “What happened to you?” she asked quietly. Evan’s fingers tightened around his glass. “Life. It happened to me.” “That’s it? That’s all I get?” “What do you want me to say, Rory? That I changed? That I’m not the same man who—” He stopped, swallowed. “That I’m not the same man who hurt you?” She didn’t answer. The truth was, she didn’t know what she wanted. Closure? Forgiveness? Or just to sit here and pretend, for a little while, that the past didn’t matter? Evan drained his drink, set the glass down. “I should go.” Rory didn’t stop him. She watched as he stood, as he buttoned his coat, as he hesitated at the door like a man who’d forgotten something. “Rory.” She looked up. “Take care of yourself.” And then he was gone, the door swinging shut behind him, the rain swallowing his footsteps. Silas finally spoke. “Friend of yours?” She stared at the empty stool beside her. “Not anymore.” He nodded, as if that explained everything. “Some people aren’t meant to stay in your life.” “No,” she agreed. “But they do anyway.” Silas polished another glass, the cloth moving in slow, steady circles. “You want another drink?” She shook her head. “I think I’ve had enough.” Outside, the rain kept falling. Inside, the bar was quiet, the kind of quiet that settled into your bones. Rory traced the rim of her glass, the bourbon long gone, the weight of the past still there, pressing down like a hand on her chest. She wondered if Evan felt it too.
created_at"2026-10-07T09:09:53.625Z" 10/7/2026, 9:09:53 AM
model"mistralai/mistral-medium-3.5-20260430"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency504
moderation_latency(null)
generation_time15532
tokens_prompt1063
tokens_completion2040
native_tokens_prompt1025
native_tokens_completion1804
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"
usage0.0150675
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791364193-Jb9nIrGCpKDuCxqqrYg2"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791364193-tJCoEZBxlhvAKRmd3lRk"
upstream_id"576ca51f97624d4d8b558f27dde339c3"
provider_responses
0
endpoint_id"d21d316f-d540-4718-b36e-3beff85d0cf9"
id"576ca51f97624d4d8b558f27dde339c3"
is_byokfalse
latency504
model_permaslug"mistralai/mistral-medium-3.5-20260430"
provider_name"Mistral"
status200
total_cost0.0150675
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
totalTags19
adverbTagCount2
adverbTags
0"he said finally [finally]"
1"she asked quietly [quietly]"
dialogueSentences70
tagDensity0.271
leniency0.543
rawRatio0.105
effectiveRatio0.057
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1295
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)
57.53% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1295
totalAiIsms11
found
0
word"flickered"
count1
1
word"weight"
count2
2
word"flicked"
count3
3
word"unreadable"
count1
4
word"pulse"
count1
5
word"silence"
count1
6
word"footsteps"
count1
7
word"traced"
count1
highlights
0"flickered"
1"weight"
2"flicked"
3"unreadable"
4"pulse"
5"silence"
6"footsteps"
7"traced"
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
narrationSentences99
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences99
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences152
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen37
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1288
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions19
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions31
wordCount932
uniqueNames6
maxNameDensity1.07
worstName"Silas"
maxWindowNameDensity3
worstWindowName"Evan"
discoveredNames
Raven1
Nest1
Rory8
Silas10
Evan10
Different1
persons
0"Raven"
1"Nest"
2"Rory"
3"Silas"
4"Evan"
places(empty)
globalScore0.964
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences64
glossingSentenceCount1
matches
0"as if bracing against an unseen wind"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1288
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences152
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs74
mean17.41
std16.17
cv0.929
sampleLengths
094
113
213
36
420
535
611
749
834
94
109
1157
123
131
1451
1514
169
1724
1836
1927
206
2125
226
236
2427
2554
268
2715
2814
293
3011
3121
325
3310
3412
3521
3614
378
3813
3910
4017
413
4215
432
4435
454
4615
4712
4817
4938
98.17% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences99
matches
0"were lined"
1"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs181
matches
0"was listening"
67.67% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences4
totalSentences152
ratio0.026
matches
0"The bar smelled of aged wood and something sharper—gin, maybe, or the ghost of a thousand spilled secrets."
1"The bar’s walls were lined with yellowed maps and black-and-white photos—faces she didn’t know, places she’d never been."
2"His face was older, lined in ways she didn’t remember, but the eyes—sharp, assessing—were the same."
3"“Not lying.” His gaze flicked over her—her black hair, the dark circles under her eyes, the way her fingers drummed against the glass."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount377
adjectiveStacks0
stackExamples(empty)
adverbCount8
adverbRatio0.021220159151193633
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences152
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences152
mean8.47
std6.38
cv0.753
sampleLengths
025
118
214
337
411
52
610
73
85
91
1011
119
125
1318
1412
159
162
1711
1818
195
2015
215
2213
233
2413
254
267
272
2811
2911
3019
3116
323
331
3410
356
3621
3714
388
396
404
415
4212
435
447
4513
4621
472
4815
4912
57.68% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.3618421052631579
totalSentences152
uniqueOpeners55
74.07% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences90
matches
0"Just observed, the way he"
1"Just a little."
ratio0.022
24.44% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount44
totalSentences90
matches
0"She shook rain from her"
1"She slid onto a stool,"
2"She tapped the bar"
3"He set down the glass,"
4"She rubbed her temple"
5"She took the drink, let"
6"She wondered if he ever"
7"He wore a long wool"
8"His face was older, lined"
9"Her breath hitched."
10"He stepped forward, the years"
11"His jaw was tighter, his"
12"His voice was softer now,"
13"She gripped her glass."
14"He didn’t move, didn’t speak."
15"He glanced at Silas, then"
16"She took another sip, the"
17"he said finally"
18"She laughed, sharp and humourless."
19"His gaze flicked over her—her"
ratio0.489
21.11% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount79
totalSentences90
matches
0"The green neon sign of"
1"The bar smelled of aged"
2"She shook rain from her"
3"The place was near empty,"
4"She slid onto a stool,"
5"Silas glanced up, his hazel"
6"She tapped the bar"
7"He set down the glass,"
8"She rubbed her temple"
9"The day’s deliveries had been"
10"Silas poured, the amber liquid"
11"She took the drink, let"
12"The bar’s walls were lined"
13"She wondered if he ever"
14"The door creaked open again."
15"A gust of wind sent"
16"Rory didn’t turn."
17"The voice was rough, like"
18"A man stood in the"
19"He wore a long wool"
ratio0.878
55.56% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences90
matches
0"Now she delivered food for"
ratio0.011
84.94% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences37
technicalSentenceCount3
matches
0"The place was near empty, just a couple of regulars hunched over their drinks and Silas behind the counter, polishing a glass with the slow deliberation of a ma…"
1"His jaw was tighter, his shoulders squared as if bracing against an unseen wind."
2"But the anger that had once burned so hot inside her had long since cooled to something quieter, something sadder."
72.37% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags19
uselessAdditionCount2
matches
0"She took, the bourbon doing little to steady her pulse"
1"He studied, his gaze lingering on the scar on her wrist"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount3
fancyTags
0"Evan muttered (mutter)"
1"He repeated (repeat)"
2"she agreed (agree)"
dialogueSentences70
tagDensity0.086
leniency0.171
rawRatio0.5
effectiveRatio0.086
86.0070%