Run: 2026-03-18-01KM08JFQSVZF0VC961MK6NMEP

Run Details

Duration:
15.2s
Cost:
$0.001095
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 Raven’s Nest hummed with that familiar low-grade chaos—the clink of glasses, the murmur of low conversation, the occasional burst of laughter from the corner where a couple of regulars debated Tottenham’s chances this season. The green neon sign outside flickered in the damp October night, casting a sickly glow over the pavement. Rory pushed through the door, shaking rain from her jacket, the scent of stale beer and something faintly citric from the cocktail Sybil liked to use as an air freshener hitting her first. She didn’t expect to see him. Not like this. Not years later, not here, not now—definitely not in Soho, not in Silas Blackwood’s territory. But there he was, leaning against the far end of the bar, one elbow resting on the polished mahogany, his hazel eyes scanning the room with the quiet intensity of a man who’d spent a lifetime watching doors. Silas. His face had etched deeper into the map of its own history since the last time she’d seen him. The auburn streaks in his hair had sharpened to iron, the limp in his left leg just a slight alteration to his posture—like he now carried the past in the way he supported his weight. His signet ring glinted under the amber light as he lifted a glass of neat whisky to his lips, watching. Rory hesitated. The door swung shut behind her with a sigh. She could leave. She could turn, step back into the rain, and let the city swallow her again. But she didn’t. Something older than caution rooted her there. Silas didn’t turn immediately. He exhaled through his nose, a sound that might have been amusement, and set the glass down. She walked over. The floorboards creaked underfoot, each step a quiet accusation. He looked up when she was two feet away. His gaze flickered over her—shoulder-length black hair, bright blue eyes that still held the sharpness of a blade, a scar on her wrist like a secret. He didn’t smile. Not at first. Just exhaled again, shallow, measured. “Aurora Carter,” he said. Not Rory. Not anymore. She stopped. “Silas.” A beat. Two. The bartender, a wiry man named Tom, glanced their way, then away—sensing the temperature drop. “You look like hell,” he said. She almost laughed. Instead, she said, “So do you.” He chuckled, low and rough, a dry old sound. “Sit down before I charge rent for the stool.” She did. The black leather creaked under her weight. Tom approached without being summoned. “Whisky,” she said. “Whatever’s good.” Tom nodded, poured. The amber liquid burned its way into the glass. Silas watched the pour like a man tracking a suspect. “Used to deliver here,” she said. “Used to own it.” God. She’d forgotten how he used silence like a weapon. How he could sit absolutely still and make the world feel like it was waiting for him. She wrapped her hands around the glass. “Five years,” he said. “Since Prague.” She flinched. Just a little. “Four.” “Of course. You’d know.” He swirled his own drink. “You left without a word.” “I left before the words could get ugly.” Another silence. The glasses reflected the dim light like twin moons. “Heard you ran from Evan.” Silas’ voice was quiet, casual. Dangerous. “Smart. Boy had a habit of leaving bruises where they didn’t show.” Rory’s thumb traced the rim of her glass. “You always knew too much.” “That’s the point of a Spymaster, isn’t it?” She looked at him then, really looked—at the lines around his eyes, the way his beard framed a jaw that had once been square and now stood like a weathered cliff. He wasn’t the same man who’d taught her how to pick a lock using a bobby pin and a pub napkin. He wasn’t the man who’d slipped her five hundred quid and a fake passport the night she fled Cardiff. He was older. Sharper. Someone who’d survived worse than she had. “You look good, Silas,” she lied. He smirked. The crease around his mouth deepened. “You look like you’re still running.” She said nothing. Tom brought her drink. She took a sip. It burned like truth. “Cardiff,” he said after a while. “You hate that city.” “I hated the memories.” “And London? You love it here, then?” She almost smiled. “You know I don’t.” He nodded, as if that confirmed something. “Still driving a bike in the rain?” “Still working at Golden Empress.” “Cheung ever threaten to dock your pay for being late because there’s a queue outside Parliament?” She laughed despite herself. “Every Thursday.” A pause. The rain tapped the windows. A couple at the end of the bar started arguing in Polish—sharp, fast, dissolving into nervous laughter. Silas reached into his coat. Not a weapon. Just a crumpled photo. He slid it across the bar to her. She unfolded it. A black-and-white photograph. A young man, maybe early twenties, dark hair, standing in front of a market stall in Cardiff. His smile was crooked. “Timothy Ellis,” Silas said. “Your uncle.” Her breath caught. “Where did you—?” “Jennifer’s brother. Died in ’98. Drowned in the Taff. They never found the body.” She stared at the photo. Her uncle Tim, who’d taught her how to skip stones on the river. Who’d given her a frog once in a matchbox. Who’d played the harmonica until dawn. Dead. Gone. And she hadn’t even known. “Why now?” she whispered. Silas’ voice dropped. “Because you stopped calling.” The words hung there, suspended between them like smoke. She folded the photo carefully, pressed it to her chest. He watched her hands tremble. “You always knew how to find people,” she said. “Even when they didn’t want to be found.” “I still know.” He took a slow sip. “Which is why I’m here.” She set the photo down. “Tell me.” Silas leaned in. Just an inch. Close enough that she caught the scent of peppermint and old leather. “I got a call last week,” he said. “From someone inside the Home Office. They’re looking into something old. Something from Prague.” Her blood turned cold. “They’re asking about a file,” he went on. “Codenamed *Laila*. Missing since 2012.” She didn’t speak. Did not breathe. Silas’ fingers tapped the bar—a slow, deliberate rhythm. The code for *danger*. “You were the only one who ever called her Laila,” he said. Outside, the neon flickered. A shadow passed across the window. Or maybe it was just the rain distorting the glass. Rory looked at him. Really looked. “What do you want?” she asked. Silas exhaled. Nodded once, like he’d expected the question. For the first time in years, she saw the ghost of the intelligence operative beneath the barman’s apron. “Help me find it before they do,” he said. “Before *they* find you.”
created_at"2026-03-18T10:41:27.814Z" 3/18/2026, 10:41:27 AM
model"mistralai/mistral-small-2603" 1/1/2603, 12:00:00 AM
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency511
moderation_latency(null)
generation_time15071
tokens_prompt1094
tokens_completion1857
native_tokens_prompt1025
native_tokens_completion1569
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)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.00109515
router(null)
provider_responses
0
endpoint_id"f5ed6283-4e17-457d-98cd-2ec0c318171d"
id"aa8b2f242af94af1a25ef953187f3864"
is_byokfalse
latency511
model_permaslug"mistralai/mistral-small-2603" 1/1/2603, 12:00:00 AM
provider_name"Mistral"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773830487-zUfXFqGMUBgLVPjx9vBK"
upstream_id"aa8b2f242af94af1a25ef953187f3864"
total_cost0.00109515
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
totalTags18
adverbTagCount0
adverbTags(empty)
dialogueSentences49
tagDensity0.367
leniency0.735
rawRatio0
effectiveRatio0
86.83% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1139
totalAiIsmAdverbs3
found
0
adverb"really"
count2
1
adverb"carefully"
count1
highlights
0"really"
1"carefully"
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)
38.54% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1139
totalAiIsms14
found
0
word"familiar"
count1
1
word"flickered"
count3
2
word"scanning"
count1
3
word"intensity"
count1
4
word"etched"
count1
5
word"weight"
count2
6
word"measured"
count1
7
word"silence"
count2
8
word"absolutely"
count1
9
word"traced"
count1
highlights
0"familiar"
1"flickered"
2"scanning"
3"intensity"
4"etched"
5"weight"
6"measured"
7"silence"
8"absolutely"
9"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
narrationSentences121
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences121
filterMatches
0"feel"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences154
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen38
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans3
markdownWords3
totalWords1131
ratio0.003
matches
0"Laila"
1"danger"
2"they"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions20
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions29
wordCount866
uniqueNames14
maxNameDensity0.92
worstName"Silas"
maxWindowNameDensity2
worstWindowName"Silas"
discoveredNames
Raven1
Nest1
Tottenham1
October1
Sybil1
Soho1
Silas8
Blackwood1
Rory5
Tom4
God1
Cardiff2
Polish1
Tim1
persons
0"Raven"
1"Nest"
2"Sybil"
3"Silas"
4"Blackwood"
5"Rory"
6"Tom"
7"Tim"
places
0"Tottenham"
1"Soho"
2"Cardiff"
3"Polish"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences45
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1131
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences154
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs74
mean15.28
std16.07
cv1.051
sampleLengths
086
16
256
31
474
539
621
73
89
946
104
114
123
1318
146
159
1618
1714
185
1922
206
214
2227
237
246
256
2614
278
2811
2923
3013
318
3271
3311
346
3514
363
3712
3810
394
407
417
4214
435
4416
456
4624
4720
4827
496
99.46% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences121
matches
0"being summoned"
1"was crooked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs155
matches
0"was waiting"
12.99% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences7
totalSentences154
ratio0.045
matches
0"The Raven’s Nest hummed with that familiar low-grade chaos—the clink of glasses, the murmur of low conversation, the occasional burst of laughter from the corner where a couple of regulars debated Tottenham’s chances this season."
1"Not years later, not here, not now—definitely not in Soho, not in Silas Blackwood’s territory."
2"The auburn streaks in his hair had sharpened to iron, the limp in his left leg just a slight alteration to his posture—like he now carried the past in the way he supported his weight."
3"His gaze flickered over her—shoulder-length black hair, bright blue eyes that still held the sharpness of a blade, a scar on her wrist like a secret."
4"The bartender, a wiry man named Tom, glanced their way, then away—sensing the temperature drop."
5"She looked at him then, really looked—at the lines around his eyes, the way his beard framed a jaw that had once been square and now stood like a weathered cliff."
6"A couple at the end of the bar started arguing in Polish—sharp, fast, dissolving into nervous laughter."
97.95% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount614
adjectiveStacks0
stackExamples(empty)
adverbCount26
adverbRatio0.04234527687296417
lyAdverbCount6
lyAdverbRatio0.009771986970684038
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences154
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences154
mean7.34
std6.92
cv0.942
sampleLengths
035
118
233
36
43
515
638
71
819
935
1020
112
129
133
1415
153
167
174
1817
193
209
219
2226
233
243
255
264
272
282
292
301
312
321
3315
346
353
366
379
389
392
407
415
423
432
443
459
4610
476
484
491
64.94% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.42857142857142855
totalSentences154
uniqueOpeners66
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences89
matches
0"Just exhaled again, shallow, measured."
1"Instead, she said,"
2"Just a little."
3"Just a crumpled photo."
4"Just an inch."
ratio0.056
44.72% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount39
totalSentences89
matches
0"She didn’t expect to see"
1"His face had etched deeper"
2"His signet ring glinted under"
3"She could leave."
4"She could turn, step back"
5"He exhaled through his nose,"
6"She walked over."
7"He looked up when she"
8"His gaze flickered over her—shoulder—length"
9"He didn’t smile."
10"She almost laughed."
11"He chuckled, low and rough,"
12"She’d forgotten how he used"
13"She wrapped her hands around"
14"He swirled his own drink"
15"She looked at him then,"
16"He wasn’t the same man"
17"He wasn’t the man who’d"
18"He was older."
19"She said nothing."
ratio0.438
77.98% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount68
totalSentences89
matches
0"The Raven’s Nest hummed with"
1"The green neon sign outside"
2"Rory pushed through the door,"
3"She didn’t expect to see"
4"His face had etched deeper"
5"The auburn streaks in his"
6"His signet ring glinted under"
7"The door swung shut behind"
8"She could leave."
9"She could turn, step back"
10"Something older than caution rooted"
11"Silas didn’t turn immediately."
12"He exhaled through his nose,"
13"She walked over."
14"The floorboards creaked underfoot, each"
15"He looked up when she"
16"His gaze flickered over her—shoulder—length"
17"He didn’t smile."
18"The bartender, a wiry man"
19"She almost laughed."
ratio0.764
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences89
matches(empty)
ratio0
53.57% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences24
technicalSentenceCount3
matches
0"But there he was, leaning against the far end of the bar, one elbow resting on the polished mahogany, his hazel eyes scanning the room with the quiet intensity …"
1"He wasn’t the man who’d slipped her five hundred quid and a fake passport the night she fled Cardiff."
2"Her uncle Tim, who’d taught her how to skip stones on the river."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags18
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags15
fancyCount2
fancyTags
0"she lied (lie)"
1"she whispered (whisper)"
dialogueSentences49
tagDensity0.306
leniency0.612
rawRatio0.133
effectiveRatio0.082
85.8992%