Run: 2026-02-26-01KJCS2WGFEGTDF5JM4X65FVMF

Run Details

Model:
LFM2 24B
Duration:
15.1s
Cost:
$0.000118
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="4415" name="Lucien Moreau" aliases="Lucien, Luc, the Frenchman" pronouns="he/him" species="Half-Demon" storyRole="Ally"> <eyeColor>heterochromatic — one amber, one black</eyeColor> <hair>slicked-back platinum blond</hair> <height>5'11"</height> <age>32</age> <cane>ivory-handled cane that conceals a thin blade</cane> <dress>tailored charcoal suits</dress> <description>An impeccably dressed fixer and information broker in London's supernatural underworld. He speaks four languages fluently.</description> <backstory>Born in Marseille to a human mother and a demon father from the realm of Avaros.</backstory> </character> <location id="858" name="Eva's Flat" aliases="Eva's place, the flat on Brick Lane" realm="Earth"> <cat>tabby cat named Ptolemy</cat> <security>three deadbolts on the front door</security> <description>A cramped one-bedroom flat above a curry house on Brick Lane, East London. Every surface is covered with books, scrolls, and research notes.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the romance genre. Two people who parted on complicated terms are forced together again when one shows up unannounced at the other's flat. There's history between them — attraction, hurt, and things left unsaid. Write the scene from the moment the door opens. 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 door creaks open. Aurora stands there, rain dripping from her hair, eyes scanning the room. Lucien leans against the frame, cane tapping once against the floor. "You're late," she says, voice steady but edged. He smirks. "Traffic. Or maybe I thought about you on the way." Ptolemy watches from the corner, tail flicking. Aurora steps inside, boots leaving wet prints on the worn rug. "I didn't expect you here," she continues, crossing arms. "Not after everything." Lucien pushes off the door. "Nothing ever stays buried." She looks away, jaw tight. "You left without explanation." "Didn't you?" His gaze drops to her hands. "Or did you just stop answering my calls?" Aurora turns back, eyes bright. "I had reasons." "Reasons?" He steps closer, close enough to see the faint scar on her wrist. "You think I don't know why you vanished? Why you wouldn't answer my texts?" She shrugs, but her shoulders shake. "Because some doors shouldn't be opened twice." Lucien laughs softly. "You always were dramatic." "Someone has to be." Her voice cracks. "You disappeared. I was alone." He reaches out, stops inches from her. "I know." Silence stretches. The cat meows from the shelf. "You came back," she whispers. "Couldn't stay away." Her breath hitches. "Why now?" "Because I needed to see you." His hand lifts, hovers near her cheek. "Because I missed you." Aurora closes her eyes. "That doesn't erase what happened." "No," he agrees. "But it might help us start over." She opens her eyes, meets his gaze. "You promised you'd change." "I did." His thumb brushes her jawline. "I'm not that man anymore." She swallows. "What if I don't trust you?" "Then prove it." His voice low. "Show me you're different." She steps forward, closes the distance. Their foreheads touch. "I don't know how." "Then let's find out." Ptolemy watches, tail curling around her ankle. Outside, rain drums against the window. Inside, the air feels charged. "You remember Cardiff?" she asks quietly. He nods. "The river. The old bridge." "Before you left." "Before I ran." She touches his chest, feeling his heartbeat. "Still here." "Still here." Their lips meet—soft, uncertain. Then firmer, desperate. The kiss tastes of salt and regret. Lucien pulls back first. "We should talk." Aurora nods, eyes shining. "Yes." They stand there, breathing hard. The flat feels smaller suddenly. "Where do we begin?" she asks. He smiles faintly. "With coffee. And answers." Ptolemy yawns, stretching across the table. The cat seems unimpressed. Lucien gestures toward the kitchen. "First round's on me." Aurora laughs, tension easing. "Deal." They move together, footsteps echoing in the narrow hallway. The past lingers behind them, but the future waits ahead.
created_at"2026-02-26T10:49:31.748Z" 2/26/2026, 10:49:31 AM
model"liquid/lfm-2-24b-a2b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency278
moderation_latency(null)
generation_time14962
tokens_prompt1034
tokens_completion757
native_tokens_prompt998
native_tokens_completion732
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"
usage0.00011778
router(null)
provider_responses
0
endpoint_id"b5f259c3-1e77-40d6-8fa4-161cdf0e4a7c"
id"oYufwPh-2j9zxn-9d3ee05581e6e504"
is_byokfalse
latency276
model_permaslug"liquid/lfm-2-24b-a2b-20260224"
provider_name"Together"
status200
api_type"completions"
id"gen-1772102971-dIfHGGJkc9BPGtbbpgyi"
upstream_id"oYufwPh-2j9zxn-9d3ee05581e6e504"
total_cost0.00011778
cache_discount(null)
upstream_inference_cost0
provider_name"Together"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags8
adverbTagCount1
adverbTags
0"she asks quietly [quietly]"
dialogueSentences44
tagDensity0.182
leniency0.364
rawRatio0.125
effectiveRatio0.045
77.48% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount444
totalAiIsmAdverbs2
found
0
adverb"softly"
count1
1
adverb"suddenly"
count1
highlights
0"softly"
1"suddenly"
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
32.43% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount444
totalAiIsms6
found
0
word"scanning"
count1
1
word"silence"
count1
2
word"charged"
count1
3
word"tension"
count1
4
word"footsteps"
count1
5
word"echoing"
count1
highlights
0"scanning"
1"silence"
2"charged"
3"tension"
4"footsteps"
5"echoing"
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
narrationSentences51
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences51
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences83
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen14
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords443
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
37.64% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions14
wordCount267
uniqueNames3
maxNameDensity2.25
worstName"Aurora"
maxWindowNameDensity2
worstWindowName"Lucien"
discoveredNames
Lucien5
Aurora6
Ptolemy3
persons
0"Lucien"
1"Aurora"
2"Ptolemy"
places(empty)
globalScore0.376
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences20
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount443
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences83
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs44
mean10.07
std5.63
cv0.559
sampleLengths
027
18
212
318
412
59
69
716
88
928
1013
117
1212
139
148
155
163
175
1817
199
2010
2111
2212
238
2410
2513
264
2718
286
297
303
313
329
332
3414
357
365
3710
386
397
4010
419
425
4319
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences51
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs59
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences83
ratio0.012
matches
0"Their lips meet—soft, uncertain."
92.56% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount268
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.048507462686567165
lyAdverbCount4
lyAdverbRatio0.014925373134328358
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences83
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences83
mean5.34
std2.83
cv0.53
sampleLengths
04
112
211
38
42
510
67
711
89
93
105
114
125
134
148
158
165
173
1814
1914
206
217
223
234
247
255
267
272
282
296
305
313
323
332
3413
354
364
375
383
397
407
414
427
435
442
456
466
474
486
493
71.49% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.4578313253012048
totalSentences83
uniqueOpeners38
75.76% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences44
matches
0"Then firmer, desperate."
ratio0.023
29.09% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences44
matches
0"she says, voice steady but"
1"she continues, crossing arms"
2"She looks away, jaw tight."
3"His gaze drops to her"
4"He steps closer, close enough"
5"She shrugs, but her shoulders"
6"Her voice cracks"
7"He reaches out, stops inches"
8"Her breath hitches."
9"His hand lifts, hovers near"
10"She opens her eyes, meets"
11"His thumb brushes her jawline"
12"His voice low"
13"She steps forward, closes the"
14"Their foreheads touch."
15"she asks quietly"
16"She touches his chest, feeling"
17"Their lips meet—soft, uncertain."
18"They stand there, breathing hard."
19"He smiles faintly."
ratio0.477
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount41
totalSentences44
matches
0"The door creaks open."
1"Aurora stands there, rain dripping"
2"Lucien leans against the frame,"
3"she says, voice steady but"
4"Ptolemy watches from the corner,"
5"Aurora steps inside, boots leaving"
6"she continues, crossing arms"
7"Lucien pushes off the door."
8"She looks away, jaw tight."
9"His gaze drops to her"
10"Aurora turns back, eyes bright."
11"He steps closer, close enough"
12"She shrugs, but her shoulders"
13"Lucien laughs softly."
14"Her voice cracks"
15"He reaches out, stops inches"
16"The cat meows from the"
17"Her breath hitches."
18"His hand lifts, hovers near"
19"Aurora closes her eyes."
ratio0.932
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences44
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences4
technicalSentenceCount0
matches(empty)
62.50% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount1
matches
0"she says, voice steady but edged"
81.82% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount3
fancyTags
0"she continues (continue)"
1"she whispers (whisper)"
2"he agrees (agree)"
dialogueSentences44
tagDensity0.136
leniency0.273
rawRatio0.5
effectiveRatio0.136
82.0253%