Run: 2026-10-07-01M4ATGNT4XH2XQC7EJY0SZ72R

Run Details

Duration:
15.8s
Cost:
$0.014573
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 weight of the evening’s deliveries still clinging to her shoulders. The bar’s usual hum of low conversation and clinking glasses wrapped around her like a familiar coat. She slid onto a stool near the far end, where the light from the brass lamps barely reached. Silas looked up from polishing a glass, his hazel eyes sharp even in the dim. “Late shift?” “Yu-Fei’s nephew decided today was the day to experiment with chilli oil. Half the orders came back.” She rolled her shoulders, the scent of soy and garlic still stuck to her sleeves. A laugh rumbled in Silas’ chest. “Sounds like a war crime.” She grinned, but the smile faded as her gaze drifted past him, catching on a figure in the corner. A man with broad shoulders, his back to the room, one hand wrapped around a tumbler of something amber. The way he sat—still, like he was listening to the silence between words—sent a jolt through her. Too many years had passed. Too many miles. She turned back to Silas, voice lower. “Who’s that?” Silas followed her gaze, then shrugged. “Came in an hour ago. Hasn’t said much.” Rory’s fingers tightened around her pint. The scar on her wrist throbbed, old habit flaring under her skin. She took a slow breath, then slid off the stool. The floorboards creaked under her steps. The man didn’t turn, but his shoulders tensed, like he’d heard the shift in the air. She stopped at the edge of the table. “You always did have a habit of sitting in the darkest corner.” The words hung there, heavy. Then he turned. Evan. Not the Evan she remembered—the one with the easy grin and the laugh that filled a room. This one had lines around his eyes, a shadow of stubble along his jaw. His hair, once sun-streaked, was darker now, threaded with silver at the temples. He looked like a man who’d learned the cost of things. “Rory.” Her name on his lips was a question, a confession. “I didn’t think you’d still be in London.” “Funny. I didn’t think you’d still be breathing.” A flicker of something—pain, maybe—crossed his face. He gestured to the chair across from him. “Sit.” She didn’t. “Why?” “Because I’m not here to fight.” “No?” She crossed her arms. “Last time we spoke, you were. Or don’t you remember?” His jaw tightened. “I remember.” The silence between them was a living thing, thick with all the things they weren’t saying. The bar’s chatter faded into the background, the clink of glasses, the murmur of other lives that hadn’t been torn apart. Evan exhaled, long and slow. “I looked for you. After.” “Not hard enough.” “I went to Cardiff. Your parents—” “Wouldn’t tell you where I’d gone. Smart people.” He flinched, just slightly. “I deserved that.” “And more.” He rubbed his thumb along the rim of his glass. “I know.” Rory studied him—the way his fingers trembled, just for a second. The man who’d once been so sure of himself now looked like he was holding on by threads. She wanted to hate him. She *should* hate him. But the anger that had kept her warm for so long had cooled into something quieter, something heavier. “What do you want, Evan?” He met her eyes. “To say I’m sorry.” She laughed, sharp and humourless. “That’s it?” “I know it’s not enough.” “Damn right it’s not.” She finally pulled out the chair, sinking into it. The wood was worn smooth under her palms. “You don’t get to waltz back into my life after five years and expect forgiveness because you *feel bad*.” “I don’t.” His voice was rough. “But I had to try.” She leaned back, watching him. The years had carved him down, but there was still something there—the ghost of the man she’d once loved. Or thought she had. “What happened to you?” He took a long sip of his drink, the ice clinking. “Life. Regret. A lot of nights staring at the ceiling.” “You always were dramatic.” A small, broken smile touched his lips. “And you always could cut me down with a look.” The air between them shifted, just a little. The weight of the past was still there, but for the first time, it didn’t feel like it was crushing her. Silas appeared at the edge of the table, his presence a quiet anchor. “Everything alright here?” Rory glanced up at him. “Fine.” Silas’ gaze flicked between them, assessing. Then he nodded, stepping back. “Let me know if that changes.” Evan watched Silas retreat, then turned back to Rory. “He your bodyguard now?” “Something like that.” Evan’s fingers tapped against the table. “You look good, Rory.” She scoffed. “Liar.” “You do.” His voice was firm. “Strong. Like you’ve built something.” She didn’t answer. The truth was, she had. A life. A fragile, hard-won thing. But sitting across from him now, she felt the cracks in it. “Why now?” she asked. He hesitated. “I’m leaving London. For good this time.” “Where to?” “Doesn’t matter.” He swirled his drink. “I just… I couldn’t go without seeing you. Without saying it.” She wanted to ask what *it* was, exactly. But she already knew. The silence stretched, thick and suffocating. Then Evan reached into his jacket, pulling out a worn leather wallet. He slid a photo across the table. Rory picked it up. A little girl, maybe six, with wild dark curls and a gap-toothed grin. Her stomach twisted. “Who’s this?” “Lily.” His voice was soft. “She’s mine.” Rory’s breath caught. She set the photo down carefully, like it might shatter. “You have a kid.” Evan nodded. “Three years old now. Her mum and I… we didn’t make it. But Lily—” He stopped, swallowing. “She’s the best thing I’ve ever done.” Rory stared at the photo, at the little girl who had his eyes, his smile. A life she’d never known. A life he’d built without her. “Why are you telling me this?” “Because I wanted you to know.” He rubbed his face. “Because I needed you to know that I’m not the same man I was. That I *can’t* be.” She looked up at him, really looked. The lines on his face, the exhaustion in his eyes. The man who’d hurt her was still there, but so was someone else. Someone who’d lived. Someone who’d changed. “Does it hurt?” she asked quietly. “Every day.” She exhaled, long and slow. The anger was still there, but it wasn’t the only thing anymore. There was something else, something like understanding. “You should go,” she said. Evan’s shoulders sagged, just a little. “Yeah.” She didn’t get up. Neither did he. Then, softly, she asked, “Are you happy?” He looked at the photo, then at her. “Sometimes.” She nodded. That was enough. Evan finished his drink, standing slowly. “Take care of yourself, Rory.” She didn’t answer. She watched as he walked to the door, his steps heavy. Watched as he paused, just for a second, like he wanted to turn back. But he didn’t. The door swung shut behind him. Rory sat there, the photo still on the table between them. Silas appeared again, silent, handing her a fresh pint. She took it, her fingers brushing the cold glass. “You alright?” he asked. She took a sip, the bitterness grounding her. “I will be.”
created_at"2026-10-07T09:18:36.367Z" 10/7/2026, 9:18:36 AM
model"mistralai/mistral-medium-3.5-20260430"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency497
moderation_latency(null)
generation_time15770
tokens_prompt1063
tokens_completion1951
native_tokens_prompt1025
native_tokens_completion1738
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"
usage0.0145725
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791364716-FTZhF9W9gYQdyLNHK9MV"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791364716-VOYHmQidyxbar1jX2bbx"
upstream_id"f9db85eca56543dc8bada19633922230"
provider_responses
0
endpoint_id"d21d316f-d540-4718-b36e-3beff85d0cf9"
id"f9db85eca56543dc8bada19633922230"
is_byokfalse
latency497
model_permaslug"mistralai/mistral-medium-3.5-20260430"
provider_name"Mistral"
status200
total_cost0.0145725
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
adverbTagCount1
adverbTags
0"she asked quietly [quietly]"
dialogueSentences66
tagDensity0.182
leniency0.364
rawRatio0.083
effectiveRatio0.03
79.94% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1246
totalAiIsmAdverbs5
found
0
adverb"slightly"
count1
1
adverb"carefully"
count1
2
adverb"really"
count1
3
adverb"softly"
count1
4
adverb"slowly"
count1
highlights
0"slightly"
1"carefully"
2"really"
3"softly"
4"slowly"
80.00% AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0"Blackwood"
found
0"Lily"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
51.85% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1246
totalAiIsms12
found
0
word"flickered"
count1
1
word"weight"
count2
2
word"familiar"
count1
3
word"silence"
count3
4
word"throbbed"
count1
5
word"flicker"
count1
6
word"trembled"
count1
7
word"flicked"
count1
8
word"stomach"
count1
highlights
0"flickered"
1"weight"
2"familiar"
3"silence"
4"throbbed"
5"flicker"
6"trembled"
7"flicked"
8"stomach"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"sent a shiver through"
count1
highlights
0"sent a jolt through"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences114
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences114
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences166
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans4
markdownWords5
totalWords1239
ratio0.004
matches
0"should"
1"feel bad"
2"it"
3"can’t"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions15
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount908
uniqueNames5
maxNameDensity0.99
worstName"Rory"
maxWindowNameDensity2.5
worstWindowName"Rory"
discoveredNames
Raven1
Nest1
Rory9
Silas6
Evan9
persons
0"Raven"
1"Nest"
2"Rory"
3"Silas"
4"Evan"
places(empty)
globalScore1
windowScore0.833
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences63
glossingSentenceCount4
matches
0"looked like a man who’d learned the cost"
1"looked like he was holding on by threads"
2"something like understanding"
3"appeared again, silent handing her a fresh pint"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1239
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences166
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs82
mean15.11
std13.32
cv0.881
sampleLengths
061
117
232
311
455
58
69
714
828
930
1012
118
121
1355
1419
158
1616
173
186
1915
205
2137
2210
233
246
258
267
272
2812
2956
305
318
327
335
3440
3511
3628
374
3821
394
4017
4129
4216
436
4417
4513
463
4710
483
4911
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences114
matches
0"been torn"
43.14% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs170
matches
0"was listening"
1"weren’t saying"
2"was holding"
3"was crushing"
56.80% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences5
totalSentences166
ratio0.03
matches
0"The way he sat—still, like he was listening to the silence between words—sent a jolt through her."
1"Not the Evan she remembered—the one with the easy grin and the laugh that filled a room."
2"A flicker of something—pain, maybe—crossed his face."
3"Rory studied him—the way his fingers trembled, just for a second."
4"The years had carved him down, but there was still something there—the ghost of the man she’d once loved."
88.13% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount280
adjectiveStacks0
stackExamples(empty)
adverbCount15
adverbRatio0.05357142857142857
lyAdverbCount1
lyAdverbRatio0.0035714285714285713
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences166
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences166
mean7.46
std5.42
cv0.726
sampleLengths
026
117
218
315
42
532
66
75
819
919
1017
115
123
137
142
156
168
176
1812
1910
206
2116
228
2312
245
253
261
2717
2814
2913
3011
3111
328
338
347
358
361
372
381
396
405
4110
423
432
4416
4521
465
475
483
496
46.99% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.3253012048192771
totalSentences166
uniqueOpeners54
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount6
totalSentences104
matches
0"Too many years had passed."
1"Too many miles."
2"Then he turned."
3"Then he nodded, stepping back."
4"Then Evan reached into his"
5"Then, softly, she asked,"
ratio0.058
62.31% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount41
totalSentences104
matches
0"She slid onto a stool"
1"She rolled her shoulders, the"
2"She grinned, but the smile"
3"She turned back to Silas,"
4"She took a slow breath,"
5"She stopped at the edge"
6"His hair, once sun-streaked, was"
7"He looked like a man"
8"Her name on his lips"
9"He gestured to the chair"
10"She crossed her arms"
11"His jaw tightened."
12"He flinched, just slightly."
13"He rubbed his thumb along"
14"She wanted to hate him."
15"She *should* hate him."
16"He met her eyes."
17"She laughed, sharp and humourless."
18"She finally pulled out the"
19"His voice was rough"
ratio0.394
27.31% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount90
totalSentences104
matches
0"The green neon sign of"
1"The bar’s usual hum of"
2"She slid onto a stool"
3"Silas looked up from polishing"
4"She rolled her shoulders, the"
5"A laugh rumbled in"
6"She grinned, but the smile"
7"A man with broad shoulders,"
8"The way he sat—still, like"
9"She turned back to Silas,"
10"Silas followed her gaze, then"
11"Rory’s fingers tightened around her"
12"The scar on her wrist"
13"She took a slow breath,"
14"The floorboards creaked under her"
15"The man didn’t turn, but"
16"She stopped at the edge"
17"The words hung there, heavy."
18"This one had lines around"
19"His hair, once sun-streaked, was"
ratio0.865
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences104
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences35
technicalSentenceCount2
matches
0"But the anger that had kept her warm for so long had cooled into something quieter, something heavier."
1"Rory stared at the photo, at the little girl who had his eyes, his smile."
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
totalTags5
fancyCount0
fancyTags(empty)
dialogueSentences66
tagDensity0.076
leniency0.152
rawRatio0
effectiveRatio0
80.6593%