Run: 2026-02-20-01KHYAZWMVYB8C5MCSWZWA6NRB

Run Details

Duration:
9.6s
Cost:
$0.000379
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 weakly against the rain-slicked pavement, its glow bleeding into the puddles like spilled ink. Rory paused beneath it, her breath fogging the air for a second before she tucked her hands into her pockets and stepped inside. The bell above the door chimed, but no one turned to acknowledge her. The bar was half-empty, the usual hum of conversation replaced by the low murmur of a news report on the television in the corner. She knew this place. Had passed it a hundred times, the scent of aged wood and something smoky clinging to the air like a memory. But she’d never stepped inside—not since the night she left London behind. The last time she’d been here, she’d been eighteen, drunk on whiskey and the thrill of escape, her friend’s laughter ringing in her ears as they’d stumbled out into the night. Now, the only thing that felt familiar was the way her boots sank slightly into the worn carpet, the way the bar’s dim light made her own face look stranger than she remembered. “Rory.” The voice cut through the silence like a blade. She turned. Silas stood behind the counter, his hands resting on the polished wood, his signet ring catching the light. His auburn hair was streaked with grey now, his beard neatly trimmed, but it was his eyes—the hazel flecked with gold—that made her stomach twist. He looked older, sharper. The limp in his left leg was more pronounced, but his posture was still that of a man who carried himself like he owned the room. She swallowed. “Silas.” A beat. The air between them thickened. “You look like hell,” he said, finally. She laughed, sharp and brittle. “And you look like you’ve been drinking it.” He grinned, just a little. “Only the good kind.” She slid onto a stool at the end of the bar, the leather creaking under her weight. The space between them felt charged, like the moment before a storm breaks. “What are you doing here?” “Running a bar.” He wiped down the counter with a rag, his movements precise. “You?” “Delivering takeout.” She gestured to the bag in her hand. “Golden Empress.” “Still working for Yu-Fei?” “Still paying the rent.” He studied her for a long moment. “You always were stubborn.” “And you always were too busy being important to notice.” That made him pause. His fingers stilled on the rag. “I noticed.” The words hung between them, heavy with something unsaid. She looked away first, her fingers tightening around the edge of the stool. “I didn’t come back for this.” “No.” He set the rag down. “You didn’t.” The television flickered, a news anchor’s voice cutting through the silence. Rory watched the screen, but her mind was elsewhere—on the last time she’d seen him, on the way he’d looked at her like she was something fragile, something he might break if he wasn’t careful. On the way she’d looked back, like she was already shattering. “You look different,” he said quietly. She exhaled through her nose. “So do you.” “Better,” he said. She almost laughed. Almost. “I left.” “Yes.” His voice was steady, but his eyes flickered to the scar on her wrist, the one she’d tried to hide under her sleeve. “I know.” The air between them tightened. She didn’t want to talk about it. Didn’t want to remember the way Evan’s hands had felt, the way he’d made her feel like she was nothing but a mistake. But Silas had always been good at reading people. And right now, he was reading her like an open book. “You’re not the same person who walked out of here all those years ago,” he said. She turned her wrist, the scar catching the light. “No.” “Good.” She met his gaze. “You don’t have to say that.” “I do.” His voice was firm. “You were always too sharp for your own good.” She almost smiled. “And you were always too soft.” He chuckled, low and rough. “I’ve learned.” The silence settled again, heavier this time. She could feel it pressing down on her, the weight of all the years she’d spent running, of all the things she’d left behind. Of all the things she’d never said. “What happened to you?” she asked, because she couldn’t help it. Because she needed to know. He looked away, his gaze drifting to the back of the bar, to the hidden room she knew was there. “I got older.” “That’s not what I asked.” He exhaled, slow and steady. “I did some things. Things I’m not proud of.” She waited. “Things I had to do.” His voice was quieter now, almost apologetic. “Things that made me who I am.” She studied him, really studied him. The lines around his eyes, the way his jaw was set. The man standing in front of her wasn’t the boy she’d known. He was harder, sharper. But there was still something in his eyes—the same quiet kindness, the same stubbornness. “You always were good at making excuses,” she said. He met her gaze, unflinching. “And you were always good at cutting me down.” She laughed, sharp and bitter. “I didn’t cut you down. I just saw you for what you were.” “And what was that?” “A man who thought he knew everything.” He didn’t argue. Just looked at her, his eyes searching hers. “I thought I knew you.” She looked away, her fingers tracing the edge of the bar. “I changed.” “So did I.” The silence stretched between them, thick and heavy. She could feel it pressing down on her, the weight of all the years she’d spent running, of all the things she’d left behind. Of all the things she’d never said. “You should go,” she said. He didn’t move. “I know.” She looked up at him, her eyes burning. “I don’t want to talk about this.” “I know.” She stood abruptly, her stool scraping against the floor. “I have to get back.” He didn’t stop her. Just watched her as she turned, as she walked toward the door. She could feel his eyes on her, the weight of them pressing down on her like a physical force. “Rory.” She paused, her hand on the doorknob. “Yes.” “You’re still the same person who walked out of here all those years ago.” She turned, her eyes meeting his. “No, I’m not.” He studied her, his eyes searching hers. “You’re stronger.” She looked away, her fingers tightening around the doorknob. “I’m just tired.” He nodded, just once. “I know.” She stepped outside, the rain immediately soaking through her jacket. She didn’t look back. Didn’t want to see the way he was watching her, the way he was remembering. The way he was letting her go.
created_at"2026-02-20T20:13:51.656Z" 2/20/2026, 8:13:51 PM
model"mistralai/ministral-8b-2512"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency251
moderation_latency(null)
generation_time9202
tokens_prompt1094
tokens_completion1810
native_tokens_prompt1013
native_tokens_completion1512
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached512
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.00037875
router(null)
provider_responses
0
endpoint_id"c85d26e1-1e0c-449b-9775-2afce7ae510b"
id"3f2b285e0afd4c2985499206050b96c3"
is_byokfalse
latency251
model_permaslug"mistralai/ministral-8b-2512"
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771618431-UFrI6iyYKZeM40OCDVKc"
upstream_id"3f2b285e0afd4c2985499206050b96c3"
total_cost0.00037875
cache_discount(null)
upstream_inference_cost0
provider_name"Mistral"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags11
adverbTagCount1
adverbTags
0"he said quietly [quietly]"
dialogueSentences58
tagDensity0.19
leniency0.379
rawRatio0.091
effectiveRatio0.034
91.24% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1142
totalAiIsmAdverbs2
found
0
adverb"slightly"
count1
1
adverb"really"
count1
highlights
0"slightly"
1"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)
21.19% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1142
totalAiIsms18
found
0
word"flickered"
count3
1
word"familiar"
count1
2
word"silence"
count4
3
word"stomach"
count1
4
word"weight"
count4
5
word"charged"
count1
6
word"could feel"
count3
7
word"tracing"
count1
highlights
0"flickered"
1"familiar"
2"silence"
3"stomach"
4"weight"
5"charged"
6"could feel"
7"tracing"
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
narrationSentences90
matches(empty)
95.24% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences90
filterMatches
0"look"
1"feel"
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences135
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen36
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1134
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions14
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions6
wordCount889
uniqueNames5
maxNameDensity0.22
worstName"Silas"
maxWindowNameDensity0.5
worstWindowName"Silas"
discoveredNames
Raven1
Nest1
London1
Evan1
Silas2
persons
0"Raven"
1"Nest"
2"Evan"
3"Silas"
places
0"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences55
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1134
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences135
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs65
mean17.45
std19.65
cv1.126
sampleLengths
083
1101
21
311
473
53
67
77
813
99
1035
1115
1212
134
144
1511
1610
1712
1828
198
2057
216
228
233
246
2526
2655
2716
2810
291
3010
3115
329
337
3438
3516
3623
375
3814
392
4019
4147
429
4314
4418
454
467
4716
4813
493
97.47% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences90
matches
0"been eighteen"
1"was streaked"
40.32% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs167
matches
0"was reading"
1"was watching was remembering"
2"was letting"
58.20% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences4
totalSentences135
ratio0.03
matches
0"But she’d never stepped inside—not since the night she left London behind."
1"His auburn hair was streaked with grey now, his beard neatly trimmed, but it was his eyes—the hazel flecked with gold—that made her stomach twist."
2"Rory watched the screen, but her mind was elsewhere—on the last time she’d seen him, on the way he’d looked at her like she was something fragile, something he might break if he wasn’t careful."
3"But there was still something in his eyes—the same quiet kindness, the same stubbornness."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount896
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.03236607142857143
lyAdverbCount9
lyAdverbRatio0.010044642857142858
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences135
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences135
mean8.4
std7.11
cv0.846
sampleLengths
023
123
213
324
44
521
612
731
833
91
109
112
1218
1325
144
1526
162
171
182
195
207
215
228
235
244
2517
2613
275
2814
291
3010
312
324
334
347
354
3610
374
386
392
409
4113
426
436
442
4511
4635
4711
486
495
45.56% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.23703703703703705
totalSentences135
uniqueOpeners32
82.30% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences81
matches
0"Just looked at her, his"
1"Just watched her as she"
ratio0.025
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount47
totalSentences81
matches
0"She knew this place."
1"His auburn hair was streaked"
2"He looked older, sharper."
3"he said, finally"
4"She laughed, sharp and brittle."
5"He grinned, just a little."
6"She slid onto a stool"
7"He wiped down the counter"
8"She gestured to the bag"
9"He studied her for a"
10"His fingers stilled on the"
11"She looked away first, her"
12"He set the rag down"
13"he said quietly"
14"She exhaled through her nose."
15"She almost laughed."
16"His voice was steady, but"
17"She didn’t want to talk"
18"She turned her wrist, the"
19"She met his gaze."
ratio0.58
46.42% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount67
totalSentences81
matches
0"The green neon sign of"
1"Rory paused beneath it, her"
2"The bell above the door"
3"The bar was half-empty, the"
4"She knew this place."
5"The last time she’d been"
6"The voice cut through the"
7"Silas stood behind the counter,"
8"His auburn hair was streaked"
9"He looked older, sharper."
10"The limp in his left"
11"The air between them thickened."
12"he said, finally"
13"She laughed, sharp and brittle."
14"He grinned, just a little."
15"She slid onto a stool"
16"The space between them felt"
17"He wiped down the counter"
18"She gestured to the bag"
19"He studied her for a"
ratio0.827
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences81
matches
0"Now, the only thing that"
1"Because she needed to know."
ratio0.025
47.62% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences30
technicalSentenceCount4
matches
0"Now, the only thing that felt familiar was the way her boots sank slightly into the worn carpet, the way the bar’s dim light made her own face look stranger tha…"
1"Silas stood behind the counter, his hands resting on the polished wood, his signet ring catching the light."
2"His auburn hair was streaked with grey now, his beard neatly trimmed, but it was his eyes—the hazel flecked with gold—that made her stomach twist."
3"The limp in his left leg was more pronounced, but his posture was still that of a man who carried himself like he owned the room."
34.09% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount2
matches
0"he said, finally"
1"He wiped, his movements precise"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount0
fancyTags(empty)
dialogueSentences58
tagDensity0.121
leniency0.241
rawRatio0
effectiveRatio0
81.9883%