Run: 2026-02-26-01KJCRVGDVQQS4ZD3QBBGTVCKP

Run Details

Model:
LFM2 24B
Duration:
21.9s
Cost:
$0.000169
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 like she’s measuring distances no one else would notice. Lucien leans against the frame, cane tapping once against the floorboards. The scent of old paper and coffee lingers. “You shouldn’t have come,” she says, voice steady but edged. He smiles faintly. “Neither should you.” His gaze flicks to the stack of yellowed pages on the table, then back to her. “Still got that look. Like you’re waiting for something.” Aurora steps inside, boots leaving wet prints on the worn rug. “I’m not waiting.” She pauses, fingers brushing the edge of a book. “Just passing through.” Lucien tilts his head. “Passing through or looking for something?” She doesn’t answer right away. Her eyes drift to the window where rain streaks the glass. “Both maybe.” He moves closer, slow enough that she can see the faint scar on his wrist, the way his suit hugs his shoulders. “You left Cardiff without saying goodbye.” “I didn’t want to.” Her jaw tightens. “Not like this.” He gestures toward the chair opposite hers. “Sit.” She hesitates, then lowers herself carefully. The chair groans under her weight. Lucien sits too, cane resting beside him like an old companion. “Why now?” he asks. “Why not?” Her laugh is sharp. “You disappeared. I found out about the job. About Yu-Fei’s restaurant.” She looks at him directly. “You could’ve told me.” “I tried.” His voice drops. “But some doors stay closed for a reason.” Aurora’s fingers curl around the armrest. “You always had a way with words.” “And you always had a way of walking away.” He leans forward slightly. “What changed?” She studies his face—the amber eye catching the dim light, the shadow beneath his jaw. “Maybe I realized I wasn’t running anymore.” Lucien’s smile fades. “And what if I’m still not worth the trouble?” “You’re not.” She meets his gaze. “But neither are you.” Silence stretches between them. The cat, Ptolemy, pads across the floor, tail flicking. Aurora glances at it, then back at Lucien. “You kept the apartment,” she says quietly. “Kept what?” “The books. The mess. The life.” He nods. “I thought you’d want it back.” Her breath catches. “You remembered.” “I remember everything.” His hand lifts, hovering near hers but not touching. “Even the night you left.” Aurora’s throat tightens. “That night… I didn’t mean to hurt you.” “You did.” The words hang heavy. “You walked out without looking back.” She closes her eyes. “I was scared.” “Of what?” “Of losing you.” Her voice cracks. “Of losing myself.” Lucien’s hand finally brushes hers—light, deliberate. “You didn’t lose anything.” Her eyes snap open. “Then why did you leave?” He sighs. “Because sometimes love isn’t enough to keep people together.” Aurora pulls her hand back. “Is that what this is? Love?” “It’s more than that.” He reaches into his coat pocket, pulls out a small folded note. “I wrote this before I came here. I wasn’t sure if I’d say it out loud.” She takes it, unfolds it slowly. The paper smells faintly of ink and smoke. “‘Aurora, if you ever find this, know that I never stopped caring. Even when I couldn’t say it.’” His voice roughens. “I kept it all these years.” Tears well in her eyes. She folds the note and places it in her pocket. “I kept yours too.” Lucien’s gaze softens. “What did you write?” She hesitates. “‘Lucien, if you ever show up again, I’ll be ready.’” He chuckles, low and warm. “You always were dramatic.” “And you always knew how to make me feel small.” “Maybe that’s why we fit.” He stands abruptly. “I should go.” Aurora stands too, grabbing her coat. “You could stay.” “I already am.” He gestures to the chair. “Sit again.” She sits. They stare at each other across the table. The rain drums harder outside. “What happens now?” she asks. Lucien shrugs. “We figure it out. Slowly.” Aurora nods. “One step at a time.” He offers her a small smile. “One step at a time.” The cat purrs softly. Ptolemy leaps onto the table, nudging the note with his nose. Aurora picks it up, reads it again. “Ready,” she whispers. Lucien stands. “Let’s start with tea.” She laughs—a real laugh this time. “Only if you brew it.” He grins. “Deal.” They move toward the kitchen, shadows stretching long across the walls. The door clicks shut behind them. The flat feels different now—not empty, but waiting.
created_at"2026-02-26T10:45:30.062Z" 2/26/2026, 10:45:30 AM
model"liquid/lfm-2-24b-a2b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency271
moderation_latency(null)
generation_time21744
tokens_prompt1034
tokens_completion1305
native_tokens_prompt998
native_tokens_completion1160
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"
usage0.00016914
router(null)
provider_responses
0
endpoint_id"b5f259c3-1e77-40d6-8fa4-161cdf0e4a7c"
id"oYuehYY-2j9zxn-9d3eda6ef7f61eca"
is_byokfalse
latency271
model_permaslug"liquid/lfm-2-24b-a2b-20260224"
provider_name"Together"
status200
api_type"completions"
id"gen-1772102730-tbN1iNfnrPjaHsn3AgVg"
upstream_id"oYuehYY-2j9zxn-9d3eda6ef7f61eca"
total_cost0.00016914
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
totalTags15
adverbTagCount2
adverbTags
0"she says quietly [quietly]"
1"He stands abruptly [abruptly]"
dialogueSentences64
tagDensity0.234
leniency0.469
rawRatio0.133
effectiveRatio0.063
66.67% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount750
totalAiIsmAdverbs5
found
0
adverb"carefully"
count1
1
adverb"slightly"
count1
2
adverb"slowly"
count2
3
adverb"softly"
count1
highlights
0"carefully"
1"slightly"
2"slowly"
3"softly"
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)
80.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount750
totalAiIsms3
found
0
word"scanning"
count1
1
word"weight"
count1
2
word"silence"
count1
highlights
0"scanning"
1"weight"
2"silence"
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
narrationSentences71
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences71
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences115
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen22
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords746
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
46.07% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions22
wordCount433
uniqueNames5
maxNameDensity2.08
worstName"Aurora"
maxWindowNameDensity3
worstWindowName"Aurora"
discoveredNames
Aurora9
Lucien9
Silence1
Ptolemy2
Tears1
persons
0"Aurora"
1"Lucien"
2"Silence"
3"Ptolemy"
places(empty)
globalScore0.461
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences32
glossingSentenceCount0
matches(empty)
65.95% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.34
wordCount746
matches
0"not empty, but waiting"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences115
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs56
mean13.32
std8.54
cv0.641
sampleLengths
044
110
231
326
410
518
628
710
88
923
104
1126
1213
1313
1415
1522
1612
1710
1821
197
202
216
228
235
2417
2511
2612
277
282
299
3010
319
3211
3311
3432
3514
3627
3719
387
3912
409
4110
4211
439
4410
4515
465
477
487
4911
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences71
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs82
matches(empty)
43.48% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences4
totalSentences115
ratio0.035
matches
0"She studies his face—the amber eye catching the dim light, the shadow beneath his jaw."
1"Lucien’s hand finally brushes hers—light, deliberate."
2"She laughs—a real laugh this time."
3"The flat feels different now—not empty, but waiting."
84.54% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount437
adjectiveStacks0
stackExamples(empty)
adverbCount24
adverbRatio0.05491990846681922
lyAdverbCount10
lyAdverbRatio0.02288329519450801
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences115
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences115
mean6.49
std4.27
cv0.658
sampleLengths
04
121
211
38
410
53
619
79
811
912
103
114
126
135
1411
152
1622
176
187
193
207
211
226
236
2411
254
266
2716
284
295
308
316
327
3313
342
3515
367
373
389
396
404
414
429
438
447
452
466
472
486
493
49.86% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.33043478260869563
totalSentences115
uniqueOpeners38
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences60
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences60
matches
0"she says, voice steady but"
1"He smiles faintly."
2"His gaze flicks to the"
3"She pauses, fingers brushing the"
4"She doesn’t answer right away."
5"Her eyes drift to the"
6"He moves closer, slow enough"
7"Her jaw tightens"
8"He gestures toward the chair"
9"She hesitates, then lowers herself"
10"Her laugh is sharp"
11"She looks at him directly"
12"His voice drops"
13"He leans forward slightly"
14"She studies his face—the amber"
15"She meets his gaze"
16"she says quietly"
17"Her breath catches."
18"His hand lifts, hovering near"
19"She closes her eyes."
ratio0.55
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount59
totalSentences60
matches
0"The door creaks open."
1"Aurora stands there, rain dripping"
2"Lucien leans against the frame,"
3"The scent of old paper"
4"she says, voice steady but"
5"He smiles faintly."
6"His gaze flicks to the"
7"Aurora steps inside, boots leaving"
8"She pauses, fingers brushing the"
9"Lucien tilts his head."
10"She doesn’t answer right away."
11"Her eyes drift to the"
12"He moves closer, slow enough"
13"Her jaw tightens"
14"He gestures toward the chair"
15"She hesitates, then lowers herself"
16"The chair groans under her"
17"Lucien sits too, cane resting"
18"Her laugh is sharp"
19"She looks at him directly"
ratio0.983
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences60
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences10
technicalSentenceCount0
matches(empty)
58.33% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags15
uselessAdditionCount2
matches
0"she says, voice steady but edged"
1"She pauses, fingers brushing the edge of a book"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount1
fancyTags
0"she whispers (whisper)"
dialogueSentences64
tagDensity0.078
leniency0.156
rawRatio0.2
effectiveRatio0.031
76.4967%