Run: 2026-02-19-01KHTX2C053JW9JWGX3EPA63DE

Run Details

Duration:
4.6s
Cost:
$0.000369
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 neon green sign of *The Raven’s Nest* flickered like a dying firefly against the damp Soho evening. Rory Carter pushed through the door, the scent of stale beer and old wood wrapping around her like a familiar coat. She’d been delivering Yu-Fei’s dumplings to the back alley when the rain started—fat, insistent drops that turned the pavement into a mirror. No point in getting soaked just to drop off a bag of takeaway. She shook the water from her jacket, the black fabric clinging to her shoulders. The bar was half-full, the usual mix of regulars and lost tourists. A jazz record spun lazily in the corner, the saxophone’s mournful notes curling through the air like smoke. Rory slid onto a stool at the far end of the counter, where the light was dimmest. Silas Blackwood looked up from polishing a glass. His hazel eyes locked onto hers for half a second before his expression shifted—just a flicker, like a candle in a draft. Then he set the glass down with deliberate care. “Rory.” She smirked. “Still got that spook’s memory, I see.” He didn’t smile back. Just reached for a bottle of whiskey, poured two fingers into a tumbler, and slid it across the bar. No ice. No chaser. Just the way she used to drink it. She wrapped her fingers around the glass, the cold biting into her skin. “You’re looking old, Si.” “And you’re looking like hell.” A laugh escaped her, sharp and unexpected. She took a sip, the whiskey burning all the way down. “Fair.” Silas leaned against the counter, arms crossed. The silver signet ring on his right hand caught the light. “Heard you were back in London.” “News travels fast.” “Not fast enough.” His voice was low, rough. “You could’ve come by.” She swirled the whiskey, watching the amber liquid cling to the sides of the glass. “Didn’t think you’d want to see me.” A beat of silence. The jazz record scratched, the needle lifting before the next track dropped. Silas exhaled through his nose. “You always were a terrible liar.” Rory set the glass down. “I wasn’t lying. I just didn’t think you’d *care*.” His jaw tightened. “You know better than that.” She did. That was the problem. The years had carved themselves into the lines around his eyes, the silver threading through his auburn hair. But his posture was still the same—controlled, deliberate. Like he was always bracing for something. She wondered if he still had the limp, if the old knee injury flared up in the rain like hers did. “You look different,” he said finally. “So do you.” He didn’t press. Just waited. Rory traced a finger along the rim of her glass. “I left Cardiff. Moved in with Eva for a while.” “Evan?” The name hit like a punch to the gut. She didn’t flinch. “Not anymore.” Silas’s fingers twitched, like he wanted to reach for her. But he didn’t. “Good.” She took another sip, the whiskey warming her throat. “You still running ops out of the back room?” A ghost of a smile. “Just a bar now.” “Bullshit.” He chuckled, low and rough. “Missed you, kid.” The words settled between them, heavy as the rain outside. Rory stared at her drink. “I missed you too.” Silas reached under the counter and pulled out a second glass. Poured himself a drink. “You staying?” She hesitated. “Depends.” “On?” “Whether you’re still the same man who taught me how to pick a lock.” He took a slow sip, watching her over the rim of his glass. “Some things don’t change.” The air between them hummed, thick with everything unsaid. The years, the distance, the way time had stretched and warped them both. Rory exhaled, her fingers tightening around the glass. “I need a favour.” Silas didn’t blink. “Name it.” She met his gaze. “I need to disappear.”
created_at"2026-02-19T12:12:49.547Z" 2/19/2026, 12:12:49 PM
model"mistralai/mistral-small-creative-20251216"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency196
moderation_latency(null)
generation_time4346
tokens_prompt1094
tokens_completion1048
native_tokens_prompt1013
native_tokens_completion893
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"
usage0.0003692
router(null)
provider_responses
0
endpoint_id"0118a65e-79f9-48b0-924e-38c4a41378e1"
id"03bb66b7765646febd98a398876132a4"
is_byokfalse
latency196
model_permaslug"mistralai/mistral-small-creative-20251216"
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771503169-wDbsdrg97Ibbq7uir1FZ"
upstream_id"03bb66b7765646febd98a398876132a4"
total_cost0.0003692
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
totalTags1
adverbTagCount1
adverbTags
0"he said finally [finally]"
dialogueSentences32
tagDensity0.031
leniency0.063
rawRatio1
effectiveRatio0.063
92.33% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount652
totalAiIsmAdverbs1
found
0
adverb"lazily"
count1
highlights
0"lazily"
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)
61.66% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount652
totalAiIsms5
found
0
word"flickered"
count1
1
word"familiar"
count1
2
word"flicker"
count1
3
word"silence"
count1
4
word"traced"
count1
highlights
0"flickered"
1"familiar"
2"flicker"
3"silence"
4"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
narrationSentences57
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences57
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences87
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen24
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords4
totalWords647
ratio0.006
matches
0"The Raven’s Nest"
1"care"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
91.52% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions17
wordCount513
uniqueNames7
maxNameDensity1.17
worstName"Rory"
maxWindowNameDensity2
worstWindowName"Rory"
discoveredNames
Raven1
Soho1
Carter1
Yu-Fei1
Blackwood1
Rory6
Silas6
persons
0"Raven"
1"Carter"
2"Yu-Fei"
3"Blackwood"
4"Rory"
5"Silas"
places
0"Soho"
globalScore0.915
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences34
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount647
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences87
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs40
mean16.18
std15.99
cv0.989
sampleLengths
074
161
239
31
49
535
617
75
819
924
103
1112
1222
1316
1411
1514
168
176
1854
196
203
215
2220
231
2414
2514
2618
279
281
298
3019
3117
323
331
3414
3517
3622
3712
385
398
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences57
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs81
matches(empty)
44.33% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences3
totalSentences87
ratio0.034
matches
0"She’d been delivering Yu-Fei’s dumplings to the back alley when the rain started—fat, insistent drops that turned the pavement into a mirror."
1"His hazel eyes locked onto hers for half a second before his expression shifted—just a flicker, like a candle in a draft."
2"But his posture was still the same—controlled, deliberate."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount518
adjectiveStacks0
stackExamples(empty)
adverbCount14
adverbRatio0.02702702702702703
lyAdverbCount3
lyAdverbRatio0.005791505791505791
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences87
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences87
mean7.44
std5.51
cv0.741
sampleLengths
018
121
222
313
414
512
618
717
88
922
109
111
122
137
144
1519
162
172
188
1913
204
215
227
2311
241
257
2611
276
283
298
304
3115
327
334
3412
355
366
375
389
393
405
412
424
4318
448
457
4621
476
483
493
60.92% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.3793103448275862
totalSentences87
uniqueOpeners33
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences51
matches
0"Then he set the glass"
1"Just reached for a bottle"
2"Just the way she used"
ratio0.059
86.67% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences51
matches
0"She’d been delivering Yu-Fei’s dumplings"
1"She shook the water from"
2"His hazel eyes locked onto"
3"He didn’t smile back."
4"She wrapped her fingers around"
5"She took a sip, the"
6"His voice was low, rough"
7"She swirled the whiskey, watching"
8"His jaw tightened."
9"She wondered if he still"
10"he said finally"
11"He didn’t press."
12"She didn’t flinch."
13"She took another sip, the"
14"He chuckled, low and rough."
15"He took a slow sip,"
16"She met his gaze."
ratio0.333
38.43% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount43
totalSentences51
matches
0"The neon green sign of"
1"Rory Carter pushed through the"
2"She’d been delivering Yu-Fei’s dumplings"
3"She shook the water from"
4"The bar was half-full, the"
5"A jazz record spun lazily"
6"Rory slid onto a stool"
7"Silas Blackwood looked up from"
8"His hazel eyes locked onto"
9"He didn’t smile back."
10"She wrapped her fingers around"
11"A laugh escaped her, sharp"
12"She took a sip, the"
13"Silas leaned against the counter,"
14"The silver signet ring on"
15"His voice was low, rough"
16"She swirled the whiskey, watching"
17"A beat of silence."
18"The jazz record scratched, the"
19"Silas exhaled through his nose."
ratio0.843
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences51
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences23
technicalSentenceCount1
matches
0"She’d been delivering Yu-Fei’s dumplings to the back alley when the rain started—fat, insistent drops that turned the pavement into a mirror."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences32
tagDensity0.031
leniency0.063
rawRatio0
effectiveRatio0
89.1954%