Run: 2026-02-26-01KJCS6Q5D0P4XHP7DH7XS2WRR

Run Details

Model:
LFM2 24B
Duration:
18.2s
Cost:
$0.000127
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="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</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> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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
Rain drummed against the pavement like a thousand tiny fists. Neon signs bled color across wet glass. Detective Harlow Quinn’s boots splashed through puddles as she gave chase. Her sharp jaw set in grim determination. The suspect—a wiry man with a scar across his forearm—darted between alleyways. Tomás Herrera slipped through a side door marked by a green neon sign flickering above. The sign buzzed like an angry insect. Harlow followed, her leather watch catching the light. She paused at a heavy wooden door. A faint hum vibrated through the wood. “You’re coming with me,” she called, voice steady despite the storm. Tomás turned, eyes narrowing. “You don’t know where you’re going.” Harlow stepped closer. Rainwater dripped from her coat. “I know enough.” The door creaked open. A narrow staircase descended into darkness. The air smelled of damp earth and something metallic. Harlow’s hand hovered near her holster. She glanced back. Tomás hesitated, then stepped inside. The stairwell opened into a cavernous space. Stalls lined the walls. Shadows shifted. A woman in a cloak moved between them, offering vials of glowing liquid. The scent of incense mixed with ozone. Harlow’s pulse quickened. “Where are we?” she demanded. The woman smiled. “The Veil Market. No one leaves here without paying a price.” Tomás gripped a counter. “What’s this place?” “Trade,” the woman replied. “Information. Power.” Harlow’s gaze swept the room. A man in a tattered coat whispered to another. Their voices were low, urgent. A child darted past, clutching a small bag. Harlow’s eyes caught a glint of metal—a blade. “Stop,” she barked. Tomás froze. The woman tilted her head. “You’re not supposed to be here.” Harlow’s fingers tightened on her watch. “Explain.” The woman gestured toward a hidden passage. “Follow the sound of footsteps. But choose wisely.” Tomás looked at Harlow. “This isn’t safe.” “Neither is staying here.” He nodded. They moved deeper into the market. Stalls sold cursed artifacts. A man offered a mirror that showed memories. Another sold a feather that could grant flight. Harlow’s breath came fast. The air felt thick, charged. A shadow moved. A figure in a long coat stepped from behind a stack of crates. His eyes glowed faintly. “Detective Quinn.” Her hand flew to her gun. “Who are you?” The figure tilted his head. “Someone who knows your secrets.” Harlow’s jaw clenched. “Leave now.” He laughed. “You can’t run forever.” The crowd parted. A door slammed shut behind them. The market seemed to shift, walls closing in. Harlow’s boots echoed on the stone floor. The figure reached for her. She ducked, spun, fired. The shot rang out. The figure staggered but didn’t fall. “Why?” he whispered. “Because I have to.” The door burst open. Rain poured in. Harlow stumbled forward. Tomás grabbed her arm. “We need to go.” They ran. The market dissolved into darkness. Footsteps echoed. A voice called their names. Harlow’s heart pounded. She glanced back. The figure stood at the edge of the storm, watching. The city swallowed them whole. Somewhere, a clock struck midnight. The rain fell harder.
created_at"2026-02-26T10:51:37.346Z" 2/26/2026, 10:51:37 AM
model"liquid/lfm-2-24b-a2b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency282
moderation_latency(null)
generation_time18075
tokens_prompt1140
tokens_completion883
native_tokens_prompt1071
native_tokens_completion794
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"
usage0.00012741
router(null)
provider_responses
0
endpoint_id"b5f259c3-1e77-40d6-8fa4-161cdf0e4a7c"
id"oYugajH-2j9zxn-9d3ee36690651eca"
is_byokfalse
latency282
model_permaslug"liquid/lfm-2-24b-a2b-20260224"
provider_name"Together"
status200
api_type"completions"
id"gen-1772103097-gcR5aukN9R0x9CESGNAn"
upstream_id"oYugajH-2j9zxn-9d3ee36690651eca"
total_cost0.00012741
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
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences22
tagDensity0.227
leniency0.455
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount512
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
2.34% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount512
totalAiIsms10
found
0
word"vibrated"
count1
1
word"pulse"
count1
2
word"quickened"
count1
3
word"glint"
count1
4
word"footsteps"
count2
5
word"charged"
count1
6
word"jaw clenched"
count1
7
word"echoed"
count2
highlights
0"vibrated"
1"pulse"
2"quickened"
3"glint"
4"footsteps"
5"charged"
6"jaw clenched"
7"echoed"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"jaw/fists clenched"
count1
highlights
0"jaw clenched"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences78
matches(empty)
87.91% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences78
filterMatches
0"watch"
hedgeMatches
0"seemed 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
maxSentenceWordsSeen15
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords509
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions23
wordCount428
uniqueNames4
maxNameDensity3.27
worstName"Harlow"
maxWindowNameDensity4
worstWindowName"Harlow"
discoveredNames
Harlow14
Quinn1
Herrera1
Tomás7
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Tomás"
places(empty)
globalScore0
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences32
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount509
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
totalParagraphs30
mean16.97
std13.75
cv0.81
sampleLengths
047
144
211
310
411
533
636
75
814
97
106
1135
123
1313
147
1515
167
174
1837
1922
209
2110
225
236
2443
253
264
2718
2830
2914
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences78
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs99
matches(empty)
82.71% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences2
totalSentences95
ratio0.021
matches
0"The suspect—a wiry man with a scar across his forearm—darted between alleyways."
1"Harlow’s eyes caught a glint of metal—a blade."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount431
adjectiveStacks0
stackExamples(empty)
adverbCount7
adverbRatio0.016241299303944315
lyAdverbCount1
lyAdverbRatio0.002320185614849188
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
mean5.36
std2.8
cv0.523
sampleLengths
010
17
211
37
412
515
67
78
87
97
1011
114
126
133
145
153
164
176
189
196
203
215
227
234
242
2513
267
273
285
293
3011
314
323
334
342
355
369
375
388
398
403
412
425
436
446
451
467
478
484
493
58.95% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.37894736842105264
totalSentences95
uniqueOpeners36
48.31% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences69
matches
0"Somewhere, a clock struck midnight."
ratio0.014
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount10
totalSentences69
matches
0"Her sharp jaw set in"
1"She paused at a heavy"
2"she called, voice steady despite"
3"She glanced back."
4"Their voices were low, urgent."
5"They moved deeper into the"
6"His eyes glowed faintly."
7"Her hand flew to her"
8"She ducked, spun, fired."
9"She glanced back."
ratio0.145
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount68
totalSentences69
matches
0"Rain drummed against the pavement"
1"Neon signs bled color across"
2"Detective Harlow Quinn’s boots splashed"
3"Her sharp jaw set in"
4"The suspect—a wiry man with"
5"Tomás Herrera slipped through a"
6"The sign buzzed like an"
7"Harlow followed, her leather watch"
8"She paused at a heavy"
9"A faint hum vibrated through"
10"she called, voice steady despite"
11"Tomás turned, eyes narrowing."
12"Harlow stepped closer."
13"Rainwater dripped from her coat."
14"The door creaked open."
15"A narrow staircase descended into"
16"The air smelled of damp"
17"Harlow’s hand hovered near her"
18"She glanced back."
19"Tomás hesitated, then stepped inside."
ratio0.986
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences69
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences7
technicalSentenceCount0
matches(empty)
25.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount1
matches
0"she called, voice steady despite the storm"
13.64% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount3
fancyTags
0"she demanded (demand)"
1"she barked (bark)"
2"he whispered (whisper)"
dialogueSentences22
tagDensity0.227
leniency0.455
rawRatio0.6
effectiveRatio0.273
77.2952%