Run: 2026-02-26-01KJCS5AG4MC8ZXD4B214YB5Y7

Run Details

Model:
LFM2 24B
Duration:
26.3s
Cost:
$0.000177
Provider:
Together

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 air inside The Raven’s Nest hung thick with smoke and the low hum of distant jazz. Aurora Carter pushed open the creaking door, her boots echoing against the worn wooden floor. She paused, scanning the dimly lit room. The green neon sign flickered above the entrance, casting shifting shadows across faces half-lit by the glow of a single overhead bulb. Her eyes landed on a figure hunched over a whiskey at the far end of the bar. “Eva?” Aurora’s voice cut through the murmur. The man looked up. His hair, once a wild tangle of black, now fell in straight lines to his shoulders, streaked with silver at the temples. Grey-streaked auburn matched the faint line of stubble along his jaw. Hazel eyes narrowed, assessing. “Rory,” he said, voice deeper, roughened by years of silence. “Can’t say I expected to see you here.” She slid onto the stool beside him. The bar stools groaned under her weight. “You look… older.” He chuckled, a dry sound. “Time does that to most people.” His fingers traced the rim of his glass. “You still running deliveries for Yu-Fei’s crew?” “Still doing what I can.” She glanced around, noting the faded posters on the walls, the mismatched chairs. “This place feels smaller than I remember.” “Maybe it’s just me.” He leaned forward, elbows on the scarred wood. “You’ve changed too.” Aurora’s gaze flicked to her own hands—still steady, still marked by the small crescent scar on her wrist. “I’m still the same. Or so I tell myself.” Silas Blackwood watched from behind the counter, his sharp eyes tracking every movement. The old mentor’s fingers drummed a silent rhythm against the silver signet ring on his right hand. He’d seen this before: the collision of past and present, the unspoken weight of years. “Eva,” Silas called, his voice calm but edged with curiosity. “What brings you back to London?” Her jaw tightened. “Same reasons as always. People, places, the occasional drink.” She met his gaze. “You?” He shrugged, the motion slow, deliberate. “Tried to disappear. Failed.” A flicker of something crossed her face—regret, perhaps, or recognition. “You always did hate disappearing.” Silas poured another drink, the amber liquid catching the neon light. “Some things follow you no matter how far you run.” The bartender slid Aurora a fresh glass. She didn’t touch it. “You two know each other?” “Since university,” Eva said, though neither confirmed it. His name hung between them like a ghost. Silas nodded. “We shared a dorm. Before life got complicated.” Aurora studied the man across from her. The boy who’d once argued about philosophy in the library now spoke in measured tones, his posture rigid. “You look like you’ve seen things.” “More than I care to admit.” He took a sip, then added, “You too?” She hesitated. “Sometimes.” The silence stretched, filled only by the clink of glasses and distant laughter. Outside, rain began to patter against the windowpanes. Inside, the neon sign buzzed faintly, casting green shadows that danced across their faces. “Remember when we thought we’d change the world?” Eva asked suddenly. Silas snorted. “And ended up changing each other instead.” Aurora laughed, a short, surprised sound. “You always had a way with words.” “Words don’t fix anything.” He leaned back, studying her. “But maybe they remind us what we lost.” Her eyes dropped to her lap. “I kept the scar.” “Of course you did.” He reached into his pocket, pulled out a folded photograph. “Found it in an old album. You were laughing.” She took it, tracing the edges with her thumb. “I thought I’d never see you again.” “Neither did I.” His voice softened. “Not until tonight.” The bar’s jukebox crackled to life, playing a half-remembered tune. Aurora’s fingers brushed Eva’s under the table. Neither pulled away. Silas cleared his throat. “The back room’s open if you want to talk proper.” They followed him through the maze of tables, the secret passage revealing itself with a soft click. The hidden room smelled of old paper and leather. Maps lined the walls, their edges frayed. A single lamp cast warm light over the table where they sat. “You still think about it?” Eva asked, nodding toward the photograph. “Every day.” He exhaled. “The choices we made. The people we hurt.” Aurora’s knuckles whitened around the photo. “I tried to outrun them.” “You can’t.” Silas spoke quietly. “But you can face them.” The three of them sat in the dim light, the weight of years pressing down. Outside, the rain fell harder. Inside, the conversation began—not with grand declarations, but with the quiet truth of scars, of missed chances, of lives lived in the spaces between what was said and what was meant. Eva reached across the table, her hand hovering near Aurora’s. “We’re still here.” Silas watched them, his expression unreadable. “Yes.” The neon sign outside flickered once more, casting green shadows that lingered long after the lights went out.
created_at"2026-02-26T10:50:51.61Z" 2/26/2026, 10:50:51 AM
model"liquid/lfm-2-24b-a2b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency373
moderation_latency(null)
generation_time26270
tokens_prompt1094
tokens_completion1384
native_tokens_prompt1056
native_tokens_completion1214
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"
usage0.00017736
router(null)
provider_responses
0
endpoint_id"b5f259c3-1e77-40d6-8fa4-161cdf0e4a7c"
id"oYugM8P-2j9zxn-9d3ee2489591a5b6"
is_byokfalse
latency373
model_permaslug"liquid/lfm-2-24b-a2b-20260224"
provider_name"Together"
status200
api_type"completions"
id"gen-1772103051-bFqqX5tbE8dg6rM7a076"
upstream_id"oYugM8P-2j9zxn-9d3ee2489591a5b6"
total_cost0.00017736
cache_discount(null)
upstream_inference_cost0
provider_name"Together"

Evaluation details

Result Evaluator Details Meta Data
18.18% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags15
adverbTagCount4
adverbTags
0"She glanced around [around]"
1"Eva asked suddenly [suddenly]"
2"He leaned back [back]"
3"Silas spoke quietly [quietly]"
dialogueSentences44
tagDensity0.341
leniency0.682
rawRatio0.267
effectiveRatio0.182
93.95% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount826
totalAiIsmAdverbs1
found
0
adverb"suddenly"
count1
highlights
0"suddenly"
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)
3.15% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount826
totalAiIsms16
found
0
word"echoing"
count1
1
word"scanning"
count1
2
word"flickered"
count2
3
word"silence"
count2
4
word"weight"
count3
5
word"traced"
count1
6
word"flicked"
count1
7
word"unspoken"
count1
8
word"flicker"
count1
9
word"measured"
count1
10
word"tracing"
count1
11
word"unreadable"
count1
highlights
0"echoing"
1"scanning"
2"flickered"
3"silence"
4"weight"
5"traced"
6"flicked"
7"unspoken"
8"flicker"
9"measured"
10"tracing"
11"unreadable"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences65
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences65
filterMatches(empty)
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences93
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords823
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
74.75% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount598
uniqueNames7
maxNameDensity1.51
worstName"Aurora"
maxWindowNameDensity2.5
worstWindowName"Silas"
discoveredNames
Raven1
Nest1
Carter1
Aurora9
Blackwood1
Silas8
Eva5
persons
0"Nest"
1"Carter"
2"Aurora"
3"Blackwood"
4"Silas"
5"Eva"
places
0"Raven"
globalScore0.747
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences48
glossingSentenceCount0
matches(empty)
78.49% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.215
wordCount823
matches
0"not with grand declarations, but with the quiet truth of scars, of missed chances, of lives l"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences93
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs41
mean20.07
std14.29
cv0.712
sampleLengths
078
17
241
318
417
526
625
715
827
945
1016
1117
1210
1315
1421
1516
1616
1710
1831
1914
203
2135
2211
239
2413
2517
2610
2723
2816
299
3020
3114
3245
3311
3412
3511
3610
3751
3813
397
4018
99.87% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences65
matches
0"was said"
1"was meant"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs110
matches(empty)
50.69% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences3
totalSentences93
ratio0.032
matches
0"Aurora’s gaze flicked to her own hands—still steady, still marked by the small crescent scar on her wrist."
1"A flicker of something crossed her face—regret, perhaps, or recognition."
2"Inside, the conversation began—not with grand declarations, but with the quiet truth of scars, of missed chances, of lives lived in the spaces between what was said and what was meant."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount604
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.029801324503311258
lyAdverbCount5
lyAdverbRatio0.008278145695364239
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences93
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences93
mean8.85
std5.36
cv0.605
sampleLengths
017
115
27
322
417
57
64
722
811
94
1010
118
127
137
143
155
1614
177
1818
197
2012
213
2218
239
2413
2517
2615
2710
286
293
3013
311
326
334
3410
355
3611
3710
387
394
405
418
428
432
448
457
4618
476
4814
492
73.48% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.44086021505376344
totalSentences93
uniqueOpeners41
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences61
matches(empty)
ratio0
75.74% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences61
matches
0"She paused, scanning the dimly"
1"Her eyes landed on a"
2"His hair, once a wild"
3"he said, voice deeper, roughened"
4"She slid onto the stool"
5"He chuckled, a dry sound."
6"His fingers traced the rim"
7"She glanced around, noting the"
8"He leaned forward, elbows on"
9"He’d seen this before: the"
10"Her jaw tightened."
11"She met his gaze"
12"He shrugged, the motion slow,"
13"She didn’t touch it."
14"His name hung between them"
15"He took a sip, then"
16"He leaned back, studying her"
17"Her eyes dropped to her"
18"He reached into his pocket,"
19"She took it, tracing the"
ratio0.361
0.98% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount56
totalSentences61
matches
0"The air inside The Raven’s"
1"Aurora Carter pushed open the"
2"She paused, scanning the dimly"
3"The green neon sign flickered"
4"Her eyes landed on a"
5"Aurora’s voice cut through the"
6"The man looked up."
7"His hair, once a wild"
8"Hazel eyes narrowed, assessing."
9"he said, voice deeper, roughened"
10"She slid onto the stool"
11"The bar stools groaned under"
12"He chuckled, a dry sound."
13"His fingers traced the rim"
14"She glanced around, noting the"
15"He leaned forward, elbows on"
16"Aurora’s gaze flicked to her"
17"Silas Blackwood watched from behind"
18"The old mentor’s fingers drummed"
19"He’d seen this before: the"
ratio0.918
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences61
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount1
matches
0"The neon sign outside flickered once more, casting green shadows that lingered long after the lights went out."
58.33% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags15
uselessAdditionCount2
matches
0"he said, voice deeper, roughened by years of silence"
1"Silas called, his voice calm but edged with curiosity"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount1
fancyTags
0"Silas spoke quietly (speak)"
dialogueSentences44
tagDensity0.136
leniency0.273
rawRatio0.167
effectiveRatio0.045
77.5869%