Run: 2026-09-25-01M3CKENKCN5J1HXVG68DBYY2Y

Run Details

Duration:
14.4s
Cost:
$0.013830
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 exhaled, rolling her neck to ease the tension. The scent of aged wood and whiskey was thick in the air, the walls lined with maps and photographs that had seen better decades. Silas was behind the counter, polishing a glass with a cloth that had seen better days. He glanced up, his hazel eyes sharp even in the dim light. “Took you long enough. Thought you’d got lost in the rain.” “Nearly did. Some arsehole on a bike nearly took me out at the corner of Old Compton.” She slid onto a stool, her fingers brushing the crescent scar on her left wrist out of habit. “Yu-Fei’s going to skin me alive if I’m late again tomorrow.” Silas set the glass down. “He’ll survive. You, on the other hand, look like you’ve been dragged through a hedge backwards.” She smirked. “Charming. You always know how to make a girl feel welcome.” The door swung open again, letting in a gust of cold air and a man Rory hadn’t seen in years. He paused in the doorway, his silhouette framed by the neon glow, and for a heartbeat, she didn’t recognise him. Then he stepped forward, and the years fell away. Daniel. His once-shaggy dark hair was cropped short now, streaks of silver threading through it. The easy grin she remembered was gone, replaced by a tightness around his mouth. He wore a tailored coat that screamed money, the kind of thing he’d have laughed at back in uni. Silas noticed her staring. “You know him?” Rory swallowed. “Yeah. We go way back.” Daniel’s gaze flicked over the bar, then landed on her. His eyes widened, just for a second. “Rory?” She nodded, suddenly aware of the way her hair stuck to her neck, the way her delivery clothes were probably creased beyond salvation. “Daniel. Fancy seeing you here.” He approached, his steps measured. “Didn’t expect to run into you in London.” His voice was deeper, smoother. The kind of voice that belonged in boardrooms now, not student flats. “Funny. I didn’t expect you to still be in the country.” She kept her tone light, but the words hung between them, heavy with everything unsaid. Daniel hesitated, then sat on the stool beside her. “Been back a few months. Work brought me here.” “Of course. Work.” She traced a finger along the bar’s wood grain. “Still saving the world, one corporate merger at a time?” A flicker of something—annoyance? regret?—crossed his face. “Something like that.” Silas slid a whiskey towards Daniel without asking. “You look like you need it.” Daniel took the glass, his fingers lingering on the rim. “Thanks.” He took a sip, then turned back to Rory. “You’re working here?” “Above, actually. Silas lets me crash in the flat.” She jerked her thumb towards the ceiling. “Delivery driver by day, barfly by night.” Daniel’s eyebrows lifted. “You? Deliveries?” She bristled. “What, you thought I’d be in a courtroom by now?” He had the decency to look sheepish. “I just… I remember you talking about law. Your dad’s firm. All that.” “Plans change.” She took a swig of her own drink, the burn of the alcohol grounding her. “Life’s got a funny way of kicking you in the teeth when you’re not looking.” Daniel was quiet for a moment. The silence stretched, thick with the ghosts of old conversations. Then he said, “Evan.” Her grip tightened on the glass. “What about him?” “Heard you left Cardiff because of him.” Rory exhaled through her nose. “News travels fast.” “Not fast. Just… persistent.” Daniel’s jaw tightened. “I should’ve checked on you. After uni. After everything.” She shrugged, but the movement was stiff. “You were busy. Climbing the ladder. Making something of yourself.” “That’s no excuse.” Silas wiped down the counter, his movements slow, deliberate. He didn’t look at them, but Rory knew he was listening. The old spymaster had a knack for hearing everything, even when he pretended not to. Daniel leaned in slightly, his voice dropping. “I should’ve been there. When you needed someone.” Rory’s throat tightened. She remembered the last time she’d seen him—graduation day, his arm slung around her shoulders, promising they’d stay in touch. Then the messages had slowed, the calls had stopped, and she’d been left with Evan’s fists and her own stupid hope that things would get better. She forced a laugh, but it came out hollow. “Ancient history, Daniel. We were kids.” “Were we?” His eyes searched hers, and for a second, she saw the boy she’d known—the one who’d stayed up all night arguing politics with her, who’d dragged her to protests, who’d sworn they’d change the world together. “Because I don’t feel like a kid anymore. And I sure as hell don’t feel like the man I thought I’d be.” Rory looked away, her gaze landing on a faded photograph on the wall—a group of soldiers from some long-ago war, their faces blurred by time. “None of us do.” Daniel’s fingers tapped against the bar. “What happened to us, Rory? We were supposed to be… I don’t know. Important. Together.” She met his eyes then, and the regret in them was a physical thing, pressing against her chest. “Life happened. You chose your path. I chose mine.” “Did you?” His voice was raw. “Or did you just end up here because it was the only place left to go?” The words stung, but she didn’t look away. “Maybe. But at least I’m not pretending to be someone I’m not.” Daniel flinched. The air between them crackled, charged with years of distance and unspoken words. Silas finally broke the tension, setting a fresh glass in front of Rory. “You two need a refill or a boxing ring?” Rory managed a small smile. “Both, maybe.” Daniel didn’t laugh. He just stared at his drink, the amber liquid catching the light. “I missed you,” he said quietly. “All these years, and I still missed you.” Her chest ached. She wanted to tell him it didn’t matter, that the past was the past. But the words stuck in her throat. Because it did matter. It always had. The door opened again, letting in a burst of laughter from the street. The moment passed, slipping through their fingers like smoke. Daniel drained his glass and stood. “I should go. Early meeting tomorrow.” Rory nodded, but she didn’t move. “Yeah. Work waits for no one.” He hesitated, as if he wanted to say more. Then he just dipped his chin, a ghost of the old Daniel in the gesture. “Take care, Rory.” She watched him walk out, the door swinging shut behind him. The neon sign buzzed overhead, casting a sickly glow over the empty stool beside her. Silas finally spoke, his voice low. “That the ex?” Rory shook her head. “Worse. An old friend.” Silas grunted. “Friends can be worse than exes.” She didn’t answer. The weight of the years settled back onto her shoulders, heavier than before.
created_at"2026-09-25T15:37:57.622Z" 9/25/2026, 3:37:57 PM
model"mistralai/mistral-medium-3.5-20260430"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency408
moderation_latency(null)
generation_time14334
tokens_prompt1063
tokens_completion1879
native_tokens_prompt1025
native_tokens_completion1639
native_tokens_completion_images(null)
native_tokens_reasoning0
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"default"
usage0.01383
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790350677-cxiaDzQXvaZchHfFNHtZ"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790350677-CTMPyFQELeUOCeytc2dH"
upstream_id"e730f0299f0e404ea1356d606377c4d5"
provider_responses
0
endpoint_id"38ef23a9-5cb3-46fa-85ec-7aed174f04eb"
id"e730f0299f0e404ea1356d606377c4d5"
is_byokfalse
latency408
model_permaslug"mistralai/mistral-medium-3.5-20260430"
provider_name"Mistral"
status200
total_cost0.01383
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
totalTags10
adverbTagCount1
adverbTags
0"he said quietly [quietly]"
dialogueSentences53
tagDensity0.189
leniency0.377
rawRatio0.1
effectiveRatio0.038
91.72% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1208
totalAiIsmAdverbs2
found
0
adverb"suddenly"
count1
1
adverb"slightly"
count1
highlights
0"suddenly"
1"slightly"
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)
46.19% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1208
totalAiIsms13
found
0
word"flickered"
count1
1
word"weight"
count2
2
word"familiar"
count1
3
word"tension"
count2
4
word"flicked"
count1
5
word"measured"
count1
6
word"traced"
count1
7
word"flicker"
count1
8
word"silence"
count1
9
word"charged"
count1
10
word"unspoken"
count1
highlights
0"flickered"
1"weight"
2"familiar"
3"tension"
4"flicked"
5"measured"
6"traced"
7"flicker"
8"silence"
9"charged"
10"unspoken"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences83
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences83
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences124
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen39
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1204
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions37
wordCount826
uniqueNames6
maxNameDensity1.69
worstName"Daniel"
maxWindowNameDensity3.5
worstWindowName"Daniel"
discoveredNames
Raven1
Nest1
Rory12
Silas8
Daniel14
Evan1
persons
0"Raven"
1"Nest"
2"Rory"
3"Silas"
4"Daniel"
5"Evan"
places(empty)
globalScore0.653
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences57
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1204
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences124
matches
0"matter, that the"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs55
mean21.89
std14.61
cv0.667
sampleLengths
076
139
246
321
413
549
61
747
87
97
1018
1128
1230
1326
1418
1522
1610
1714
1823
1923
205
2112
2220
2332
2420
259
267
278
2816
2917
303
3135
3215
3349
3415
3560
3629
3721
3827
3922
4020
4115
4222
437
4429
4531
4622
4712
4812
4927
92.58% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences83
matches
0"was cropped"
1"was gone"
2"been left"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs156
matches
0"was listening"
27.65% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences5
totalSentences124
ratio0.04
matches
0"A flicker of something—annoyance?"
1"regret?—crossed his face."
2"She remembered the last time she’d seen him—graduation day, his arm slung around her shoulders, promising they’d stay in touch."
3"“Were we?” His eyes searched hers, and for a second, she saw the boy she’d known—the one who’d stayed up all night arguing politics with her, who’d dragged her to protests, who’d sworn they’d change the world together."
4"Rory looked away, her gaze landing on a faded photograph on the wall—a group of soldiers from some long-ago war, their faces blurred by time."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount832
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.03485576923076923
lyAdverbCount7
lyAdverbRatio0.008413461538461538
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences124
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences124
mean9.71
std6.89
cv0.71
sampleLengths
026
117
29
324
416
512
611
735
811
95
1016
112
1211
1320
1420
159
161
1714
1814
1919
204
213
222
235
2410
257
261
2723
285
295
3013
3112
3226
339
349
3512
3610
374
383
393
408
416
4210
4310
443
4516
467
473
482
492
62.90% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.3870967741935484
totalSentences124
uniqueOpeners48
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences77
matches
0"Then he stepped forward, and"
1"Then he said,"
2"Then the messages had slowed,"
3"Then he just dipped his"
ratio0.052
53.77% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount32
totalSentences77
matches
0"She exhaled, rolling her neck"
1"He glanced up, his hazel"
2"She slid onto a stool,"
3"He paused in the doorway,"
4"His once-shaggy dark hair was"
5"He wore a tailored coat"
6"His eyes widened, just for"
7"She nodded, suddenly aware of"
8"He approached, his steps measured."
9"His voice was deeper, smoother"
10"She kept her tone light,"
11"She traced a finger along"
12"He took a sip, then"
13"She jerked her thumb towards"
14"He had the decency to"
15"She took a swig of"
16"Her grip tightened on the"
17"She shrugged, but the movement"
18"He didn’t look at them,"
19"She remembered the last time"
ratio0.416
5.45% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount70
totalSentences77
matches
0"The green neon sign of"
1"The bar’s usual hum of"
2"She exhaled, rolling her neck"
3"The scent of aged wood"
4"Silas was behind the counter,"
5"He glanced up, his hazel"
6"She slid onto a stool,"
7"Silas set the glass down."
8"The door swung open again,"
9"He paused in the doorway,"
10"His once-shaggy dark hair was"
11"The easy grin she remembered"
12"He wore a tailored coat"
13"Silas noticed her staring."
14"Daniel’s gaze flicked over the"
15"His eyes widened, just for"
16"She nodded, suddenly aware of"
17"He approached, his steps measured."
18"His voice was deeper, smoother"
19"The kind of voice that"
ratio0.909
64.94% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences77
matches
0"Because it did matter."
ratio0.013
95.24% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences30
technicalSentenceCount2
matches
0"Silas was behind the counter, polishing a glass with a cloth that had seen better days."
1"He wore a tailored coat that screamed money, the kind of thing he’d have laughed at back in uni."
25.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount2
matches
0"She kept, but the words hung between them, heavy with everything unsaid"
1"She took, the burn of the alcohol grounding her"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences53
tagDensity0.038
leniency0.075
rawRatio0
effectiveRatio0
83.8481%