Run: 2026-02-26-01KJCS2ZNPTVR0BCMXF0WKSBAB

Run Details

Model:
LFM2 24B
Duration:
18.3s
Cost:
$0.000137
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 door, her boots echoing against the worn floorboards. She scanned the room, eyes catching on familiar shapes before landing on a figure hunched over a whiskey at the far end. Her breath caught. “Rory?” The name slipped out before she could stop it. The man looked up. His gray-streaked auburn hair fell across his forehead, shadowing eyes that had once been sharp enough to cut glass. He wore a worn leather jacket, sleeves rolled to reveal scars along his forearms. “Laila,” he muttered, pushing back from the table. “Still chasing ghosts.” She stepped closer, the scent of bourbon mingling with the bar’s stale perfume. “You look… older.” “So do you.” His voice carried the rasp of someone who’d smoked too many cigarettes. “Five years, maybe six. You still wearing those delivery uniforms?” “Still doing what I can to survive.” She ran a hand over her left wrist, tracing the faint scar beneath her sleeve. “And you? Still hiding behind old stories?” His jaw tightened. “Some stories don’t stay buried.” The bartender slid Aurora a drink without asking. Silas appeared then, his limp dragging him forward like a pendulum. The silver signet ring on his right hand caught the neon glow. “New faces,” he said, nodding at the pair. “Careful. Old wounds don’t heal—they just scar.” Aurora ignored him, turning back to Silas. “What brings you back here?” He poured two glasses of amber liquid, sliding one toward her. “Same as always. People come and go. The real question is what stays.” Her gaze flicked to the hidden back room behind the shelves. “You’ve got secrets in there.” “Secrets are just truths nobody wants to hear.” His eyes met hers, steady now. “Like how we used to think we’d change the world.” She laughed bitterly. “We tried. Then we stopped.” Silas leaned against the counter, arms crossed. “Time doesn’t forgive. It just keeps moving.” Aurora traced the rim of her glass. “I left Cardiff because I couldn’t breathe anymore. Not with him around.” “Evan?” “He… stayed. Became my jailer.” She swallowed. “I needed escape. Found this place instead.” Silas nodded slowly. “The city swallows people whole sometimes. Leaves pieces behind.” The jukebox crackled to life, playing a song neither recognized. Aurora stood abruptly. “I should go.” “Wait.” Silas held up a hand. “Before you leave—” “Don’t.” Her voice cracked. “Just… don’t lie.” He studied her for a long moment. “You ever wonder what would’ve happened if you’d stayed?” She looked away, the weight pressing down. “I wonder every day.” Outside, rain began to fall. Inside, the neon sign buzzed like a trapped insect. Silas watched them, his expression unreadable. “Regret’s a heavy coat,” he said quietly. “But you wear yours anyway.” Aurora didn’t answer. She turned toward the door, shoulders squared, though her hands trembled. Silas called after her. “Next time, bring better stories.” She paused, glancing back. For a heartbeat, her eyes mirrored his—old, haunted, alive. Then she vanished into the night. Silas exhaled, lighting a cigarette. The flame flickered against his signet ring. “Truths,” he whispered, “are stubborn things.” The bar lights dimmed, casting long shadows across the maps and photographs. Somewhere, a clock ticked toward midnight.
created_at"2026-02-26T10:49:35.027Z" 2/26/2026, 10:49:35 AM
model"liquid/lfm-2-24b-a2b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency295
moderation_latency(null)
generation_time18141
tokens_prompt1094
tokens_completion971
native_tokens_prompt1056
native_tokens_completion878
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"
usage0.00013704
router(null)
provider_responses
0
endpoint_id"b5f259c3-1e77-40d6-8fa4-161cdf0e4a7c"
id"oYufxNd-2j9zxn-9d3ee06a1694339b"
is_byokfalse
latency295
model_permaslug"liquid/lfm-2-24b-a2b-20260224"
provider_name"Together"
status200
api_type"completions"
id"gen-1772102975-6U7SMBdOsi9144sePi6B"
upstream_id"oYufxNd-2j9zxn-9d3ee06a1694339b"
total_cost0.00013704
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
totalTags11
adverbTagCount1
adverbTags
0"he said quietly [quietly]"
dialogueSentences34
tagDensity0.324
leniency0.647
rawRatio0.091
effectiveRatio0.059
90.94% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount552
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"slowly"
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)
9.42% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount552
totalAiIsms10
found
0
word"echoing"
count1
1
word"scanned"
count1
2
word"familiar"
count1
3
word"tracing"
count1
4
word"flicked"
count1
5
word"traced"
count1
6
word"weight"
count1
7
word"unreadable"
count1
8
word"trembled"
count1
9
word"flickered"
count1
highlights
0"echoing"
1"scanned"
2"familiar"
3"tracing"
4"flicked"
5"traced"
6"weight"
7"unreadable"
8"trembled"
9"flickered"
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
narrationSentences47
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences47
filterMatches(empty)
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences70
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
totalWords550
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions17
wordCount372
uniqueNames5
maxNameDensity2.15
worstName"Silas"
maxWindowNameDensity4
worstWindowName"Silas"
discoveredNames
Raven1
Nest1
Carter1
Aurora6
Silas8
persons
0"Nest"
1"Carter"
2"Aurora"
3"Silas"
places
0"Raven"
globalScore0.425
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences31
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount550
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences70
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs34
mean16.18
std10.14
cv0.627
sampleLengths
055
110
237
311
416
525
629
78
831
915
1012
1124
1216
1324
148
1514
1619
171
1814
1912
2016
219
227
2316
2411
2520
2612
2714
289
2913
306
3112
326
3318
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences47
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs79
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences70
ratio0.014
matches
0"For a heartbeat, her eyes mirrored his—old, haunted, alive."
97.57% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount374
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.0427807486631016
lyAdverbCount4
lyAdverbRatio0.0106951871657754
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences70
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences70
mean7.86
std4.47
cv0.569
sampleLengths
017
113
222
33
410
54
619
714
88
93
1013
113
1215
1310
1422
157
163
175
188
1911
2012
218
227
237
245
2511
2613
2711
285
2914
3010
313
325
337
347
357
3612
371
387
397
403
419
4210
433
443
456
463
474
483
497
89.05% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.5428571428571428
totalSentences70
uniqueOpeners38
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences45
matches
0"Then she vanished into the"
1"Somewhere, a clock ticked toward"
ratio0.044
42.22% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences45
matches
0"She scanned the room, eyes"
1"Her breath caught."
2"His gray-streaked auburn hair fell"
3"He wore a worn leather"
4"he muttered, pushing back from"
5"She stepped closer, the scent"
6"His voice carried the rasp"
7"She ran a hand over"
8"His jaw tightened."
9"he said, nodding at the"
10"He poured two glasses of"
11"Her gaze flicked to the"
12"His eyes met hers, steady"
13"She laughed bitterly."
14"Her voice cracked"
15"He studied her for a"
16"She looked away, the weight"
17"he said quietly"
18"She turned toward the door,"
19"She paused, glancing back."
ratio0.444
15.56% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount40
totalSentences45
matches
0"The air inside The Raven’s"
1"Aurora Carter pushed open the"
2"She scanned the room, eyes"
3"Her breath caught."
4"The name slipped out before"
5"The man looked up."
6"His gray-streaked auburn hair fell"
7"He wore a worn leather"
8"he muttered, pushing back from"
9"She stepped closer, the scent"
10"His voice carried the rasp"
11"She ran a hand over"
12"His jaw tightened."
13"The bartender slid Aurora a"
14"Silas appeared then, his limp"
15"The silver signet ring on"
16"he said, nodding at the"
17"Aurora ignored him, turning back"
18"He poured two glasses of"
19"Her gaze flicked to the"
ratio0.889
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences45
matches(empty)
ratio0
91.84% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences14
technicalSentenceCount1
matches
0"His gray-streaked auburn hair fell across his forehead, shadowing eyes that had once been sharp enough to cut glass."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount0
matches(empty)
91.18% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount2
fancyTags
0"he muttered (mutter)"
1"he whispered (whisper)"
dialogueSentences34
tagDensity0.118
leniency0.235
rawRatio0.5
effectiveRatio0.118
85.3700%