Run: 2026-02-26-01KJCS7MMP4JH4G32JYBZQ4R3W

Run Details

Model:
LFM2 24B
Duration:
29.3s
Cost:
$0.000158
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 through the door, her boots clicking against the worn wooden floor. She paused, scanning the room. The green neon sign flickered above the entrance, casting shadows across faces she hadn’t seen since university. Her fingers brushed the small crescent scar on her wrist, a habit when thoughts grew heavy. A voice cut through the murmur. “Rory?” She turned. Silas Blackwood stood near the bar, his silhouette framed by the dim light. His beard was shorter now, gray threads catching the glow of the sign. He wore a dark coat, sleeves rolled up, revealing a silver signet ring on his right hand. His eyes—hazel, unchanged—narrowed slightly as he studied her. “Silas,” she said, voice steady but cautious. “It’s been a while.” He nodded once, slow. “Time moves differently here.” His gaze flicked to her shoulders, the way she held herself. “You look… different.” Aurora shrugged, though it wasn’t true. She’d always been the same height, but something in her posture had shifted. Confidence? Or caution? “And you?” He smiled faintly. “Still the same. Though I suppose that’s predictable.” His hand moved to the counter, fingers drumming a rhythm only he knew. “What brings you here?” “Delivery.” She gestured to the bag slung over her arm. “Golden Empress needs more supplies. But I stopped by for a drink first.” Silas raised an eyebrow. “You always drink here?” “Sometimes.” She took a seat at the bar, the wood cool beneath her palms. “It’s quiet. Good for thinking.” He leaned forward, elbows on the bar. “Thinking about what?” Her eyes drifted to the hidden back room behind the shelves. “About old days. About how we used to talk until sunrise.” A silence stretched between them, filled by the clink of glasses and distant laughter. Silas studied her face—the sharpness of her jaw, the way her dark hair fell over her left ear. The scar was still there, faint but visible. “You’ve changed,” he said simply. “I have.” She met his gaze. “So have you.” He exhaled through his nose. “You left Cardiff. Left everything.” “I had to.” Her voice softened. “Evan… he wasn’t right. Not for me.” Silas nodded. “Heard about that. From Brendan.” Aurora’s fingers tightened on the bar. “He didn’t know. Not really.” “People rarely do.” His tone was gentle, but there was steel beneath it. “You’re not the same girl who ran off with me after that night in Prague.” She laughed bitterly. “No. I’m not.” He studied her for a long moment. “Neither am I.” The neon sign buzzed overhead, casting shifting patterns on their faces. Aurora glanced toward the hidden room. “Do you ever think about what could’ve been?” Silas’s jaw flexed. “Every day. But some doors, once closed, stay closed.” She tilted her head. “What about this one?” She tapped the bag. “What if I stayed? What if I’d fought harder?” His eyes darkened. “You did fight. You survived.” “Survived isn’t the same as living.” Her voice dropped. “I wonder if I made the right choices.” He reached into his coat pocket, pulled out a folded photograph. “Look at this.” He placed it on the bar between them. It showed two younger versions of themselves, grinning in front of a university building. Aurora traced the edge with her thumb. “We were so sure of everything.” “We were fools.” His voice was quiet. “But maybe that’s why we remember it.” She stared at the photo, then at him. “You never told me about Prague.” He sighed. “Some memories aren’t meant to be relived.” The bartender slid a glass of whiskey toward her. She accepted it, swirling the liquid. “To old regrets,” she said. Silas raised his own glass. “And new beginnings.” They drank. The room seemed to hold its breath. Outside, rain began to patter against the windows. Inside, the green neon sign flickered, casting their shadows high above the crowd. Aurora set her glass down. “I should go.” He nodded. “Take care, Rory.” She stood, pausing at the door. “Thank you, Silas.” He watched her leave, the weight of years settling between them like dust on old books. The hidden room remained untouched, its secrets safe for another day.
created_at"2026-02-26T10:52:09.338Z" 2/26/2026, 10:52:09 AM
model"liquid/lfm-2-24b-a2b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3759
moderation_latency(null)
generation_time27416
tokens_prompt1094
tokens_completion1190
native_tokens_prompt1056
native_tokens_completion1054
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"
usage0.00015816
router(null)
provider_responses
0
endpoint_id"b5f259c3-1e77-40d6-8fa4-161cdf0e4a7c"
id"oYugkEv-2j9zxn-9d3ee42e97b3c637"
is_byokfalse
latency3759
model_permaslug"liquid/lfm-2-24b-a2b-20260224"
provider_name"Together"
status200
api_type"completions"
id"gen-1772103129-OAjWagIdf2pweCCB48v2"
upstream_id"oYugkEv-2j9zxn-9d3ee42e97b3c637"
total_cost0.00015816
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
totalTags12
adverbTagCount1
adverbTags
0"he said simply [simply]"
dialogueSentences45
tagDensity0.267
leniency0.533
rawRatio0.083
effectiveRatio0.044
85.99% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount714
totalAiIsmAdverbs2
found
0
adverb"slightly"
count1
1
adverb"really"
count1
highlights
0"slightly"
1"really"
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)
36.97% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount714
totalAiIsms9
found
0
word"scanning"
count1
1
word"flickered"
count2
2
word"flicked"
count1
3
word"predictable"
count1
4
word"eyebrow"
count1
5
word"silence"
count1
6
word"traced"
count1
7
word"weight"
count1
highlights
0"scanning"
1"flickered"
2"flicked"
3"predictable"
4"eyebrow"
5"silence"
6"traced"
7"weight"
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
narrationSentences64
matches(empty)
98.21% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount2
narrationSentences64
filterMatches(empty)
hedgeMatches
0"seemed to"
1"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences95
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen21
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords711
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
89.27% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions16
wordCount494
uniqueNames6
maxNameDensity1.21
worstName"Aurora"
maxWindowNameDensity2
worstWindowName"Aurora"
discoveredNames
Raven1
Nest1
Carter1
Blackwood1
Aurora6
Silas6
persons
0"Nest"
1"Carter"
2"Blackwood"
3"Aurora"
4"Silas"
places
0"Raven"
globalScore0.893
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences39
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount711
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences95
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs39
mean18.23
std13.39
cv0.734
sampleLengths
069
17
253
311
422
524
628
723
88
919
1010
1122
1240
135
149
1510
1613
177
1811
1928
206
2110
2225
2312
2421
258
2617
2736
2813
2914
3014
319
3220
338
3430
358
365
379
3827
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences64
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs93
matches(empty)
82.71% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences2
totalSentences95
ratio0.021
matches
0"His eyes—hazel, unchanged—narrowed slightly as he studied her."
1"Silas studied her face—the sharpness of her jaw, the way her dark hair fell over her left ear."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount497
adjectiveStacks0
stackExamples(empty)
adverbCount10
adverbRatio0.02012072434607646
lyAdverbCount5
lyAdverbRatio0.01006036217303823
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences95
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences95
mean7.48
std4.57
cv0.611
sampleLengths
017
114
25
317
416
56
61
72
813
913
1017
118
127
134
144
1515
163
176
1813
191
202
212
223
2321
244
2510
2613
274
284
2914
305
317
323
3311
3411
3514
3618
378
385
396
403
415
425
436
447
452
465
476
485
4913
71.58% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.4421052631578947
totalSentences95
uniqueOpeners42
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences56
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount34
totalSentences56
matches
0"She paused, scanning the room."
1"Her fingers brushed the small"
2"His beard was shorter now,"
3"He wore a dark coat,"
4"His eyes—hazel, unchanged—narrowed slightly as"
5"she said, voice steady but"
6"He nodded once, slow."
7"His gaze flicked to her"
8"She’d always been the same"
9"He smiled faintly."
10"His hand moved to the"
11"She gestured to the bag"
12"She took a seat at"
13"He leaned forward, elbows on"
14"Her eyes drifted to the"
15"he said simply"
16"She met his gaze"
17"He exhaled through his nose."
18"Her voice softened"
19"His tone was gentle, but"
ratio0.607
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount54
totalSentences56
matches
0"The air inside The Raven’s"
1"Aurora Carter pushed through the"
2"She paused, scanning the room."
3"The green neon sign flickered"
4"Her fingers brushed the small"
5"A voice cut through the"
6"Silas Blackwood stood near the"
7"His beard was shorter now,"
8"He wore a dark coat,"
9"His eyes—hazel, unchanged—narrowed slightly as"
10"she said, voice steady but"
11"He nodded once, slow."
12"His gaze flicked to her"
13"Aurora shrugged, though it wasn’t"
14"She’d always been the same"
15"He smiled faintly."
16"His hand moved to the"
17"She gestured to the bag"
18"Silas raised an eyebrow."
19"She took a seat at"
ratio0.964
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences56
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences18
technicalSentenceCount0
matches(empty)
41.67% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount2
matches
0"she said, voice steady but cautious"
1"His hand moved, fingers drumming a rhythm only he knew"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences45
tagDensity0.067
leniency0.133
rawRatio0
effectiveRatio0
80.2136%