Run: 2026-02-26-01KJCS2YA4H7ZRNACEMYQC3B5H

Run Details

Model:
LFM2 24B
Duration:
16.7s
Cost:
$0.000130
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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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 lashed against the rusted grates of the abandoned Tube tunnel. Detective Harlow Quinn stood at the mouth of the cavernous space, leather watch glinting under the flickering bulb overhead. The air smelled of damp concrete and something sharper—burnt ozone. Eva Kowalski hovered nearby, fingers tapping nervously against the strap of her satchel. "Look at this," Eva murmured, eyes darting across the uneven floor. "No blood. No signs of struggle. Just... emptiness." Harlow knelt beside a circle of chalk symbols drawn in ash. Her gaze sharpened. "Not empty. Hidden. See how they curve around the center point?" She traced a finger along the sigils. "Protective wards. Someone wanted to keep something contained here." Eva adjusted her glasses. "Or someone wanted it found. But why leave no trace of violence?" Harlow rose, brushing grit from her trousers. She reached into her coat pocket, pulling out the Veil Compass. Its brass casing caught the dim light, the needle quivering before settling toward the far wall. "This points to the nearest rift. Whatever's missing—it's close." Eva followed her gaze. "Rifts aren't natural here. Not unless something tore open the veil." A low hum vibrated through the stone. Harlow's hand drifted to the gun at her hip. "Stay alert. We don't know what we're dealing with." They moved deeper into the tunnel. The walls pulsed faintly, veins of green light threading through cracks. Eva paused at a collapsed archway. "This entrance... it shifts. Like the place itself breathes." Harlow crouched, brushing dust off a shard of glass. Inside, etched into the pane, were initials—E.K.—and dates matching Eva's own research timeline. "Someone left messages. For us." Eva's breath hitched. "But why? Who?" Harlow's jaw tightened. "We'll find out. Follow me." They descended a spiral staircase carved into the rock. Each step echoed unnaturally, as though the tunnel remembered footsteps long gone. At the bottom lay a chamber lined with mirrors. Their surfaces rippled like water. Harlow stepped forward, compass held steady. The needle spun wildly before pointing toward a mirrored alcove. Eva hesitated. "That's impossible. Mirrors shouldn't react like that." Harlow nodded. "Unless they're alive." Inside the alcove rested a small box. Inside the box: a single feather, iridescent and humming faintly. Eva reached out but stopped short. "It feels... familiar." Harlow's eyes narrowed. "Familiar how?" Eva's fingers brushed the feather. "Like the ones my grandmother described in her journals. Said they came from creatures that walk between worlds." Harlow exhaled slowly. "Then we're not just solving a crime. We're stepping into a story older than this city." A sudden gust swept through the chamber. The mirrors cracked outward, revealing a narrow passage beyond. Harlow drew her weapon. "Stay close. Whatever waits there... it's watching." Eva swallowed hard. "And if it recognizes us?" Harlow met her gaze. "Then we show it we're ready." They stepped into the passage. The air grew colder. Somewhere ahead, a door creaked open, revealing shadows that moved with purpose. Harlow's watch ticked louder now, each second a heartbeat counting down. Behind them, the mirrors shattered completely. The feather vanished. And somewhere deep within the tunnel, something began to sing.
created_at"2026-02-26T10:49:33.598Z" 2/26/2026, 10:49:33 AM
model"liquid/lfm-2-24b-a2b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency271
moderation_latency(null)
generation_time16580
tokens_prompt1149
tokens_completion872
native_tokens_prompt1104
native_tokens_completion808
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"
usage0.00013008
router(null)
provider_responses
0
endpoint_id"b5f259c3-1e77-40d6-8fa4-161cdf0e4a7c"
id"oYufwwQ-2j9zxn-9d3ee06101a71b0a"
is_byokfalse
latency271
model_permaslug"liquid/lfm-2-24b-a2b-20260224"
provider_name"Together"
status200
api_type"completions"
id"gen-1772102973-CusOToq4BsRAXfXeIv45"
upstream_id"oYufwwQ-2j9zxn-9d3ee06101a71b0a"
total_cost0.00013008
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
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences21
tagDensity0.095
leniency0.19
rawRatio0
effectiveRatio0
71.32% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount523
totalAiIsmAdverbs3
found
0
adverb"nervously"
count1
1
adverb"slowly"
count1
2
adverb"completely"
count1
highlights
0"nervously"
1"slowly"
2"completely"
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)
4.40% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount523
totalAiIsms10
found
0
word"glinting"
count1
1
word"traced"
count1
2
word"vibrated"
count1
3
word"pulsed"
count1
4
word"etched"
count1
5
word"echoed"
count1
6
word"footsteps"
count1
7
word"familiar"
count2
8
word"shattered"
count1
highlights
0"glinting"
1"traced"
2"vibrated"
3"pulsed"
4"etched"
5"echoed"
6"footsteps"
7"familiar"
8"shattered"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences48
matches(empty)
53.57% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences48
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences67
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen19
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords519
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions29
wordCount358
uniqueNames7
maxNameDensity3.63
worstName"Harlow"
maxWindowNameDensity5
worstWindowName"Harlow"
discoveredNames
Tube1
Harlow13
Quinn1
Kowalski1
Eva11
Veil1
Compass1
persons
0"Harlow"
1"Quinn"
2"Kowalski"
3"Eva"
4"Compass"
places(empty)
globalScore0
windowScore0
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
wordCount519
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences67
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs23
mean22.57
std14.02
cv0.622
sampleLengths
053
119
241
316
443
515
625
732
827
96
108
1151
129
135
1426
155
1623
1719
1827
198
2010
2132
2219
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences48
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs75
matches(empty)
57.57% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences2
totalSentences67
ratio0.03
matches
0"The air smelled of damp concrete and something sharper—burnt ozone."
1"Inside, etched into the pane, were initials—E.K.—and dates matching Eva's own research timeline."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount361
adjectiveStacks0
stackExamples(empty)
adverbCount11
adverbRatio0.030470914127423823
lyAdverbCount7
lyAdverbRatio0.019390581717451522
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences67
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences67
mean7.75
std4.15
cv0.535
sampleLengths
011
119
210
313
411
58
611
73
818
99
104
1112
127
1311
1416
159
164
1711
187
199
209
216
2211
236
249
259
2613
275
283
293
303
315
329
3312
349
355
366
3710
382
397
402
413
427
4310
446
453
463
472
485
4918
83.08% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.5074626865671642
totalSentences67
uniqueOpeners34
72.46% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences46
matches
0"Somewhere ahead, a door creaked"
ratio0.022
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount8
totalSentences46
matches
0"Her gaze sharpened."
1"She traced a finger along"
2"She reached into her coat"
3"Its brass casing caught the"
4"They moved deeper into the"
5"They descended a spiral staircase"
6"Their surfaces rippled like water."
7"They stepped into the passage."
ratio0.174
36.09% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount39
totalSentences46
matches
0"Rain lashed against the rusted"
1"Detective Harlow Quinn stood at"
2"The air smelled of damp"
3"Eva Kowalski hovered nearby, fingers"
4"Eva murmured, eyes darting across"
5"Harlow knelt beside a circle"
6"Her gaze sharpened."
7"She traced a finger along"
8"Eva adjusted her glasses."
9"Harlow rose, brushing grit from"
10"She reached into her coat"
11"Its brass casing caught the"
12"Eva followed her gaze."
13"A low hum vibrated through"
14"Harlow's hand drifted to the"
15"They moved deeper into the"
16"The walls pulsed faintly, veins"
17"Eva paused at a collapsed"
18"Harlow crouched, brushing dust off"
19"Eva's breath hitched."
ratio0.848
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences46
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences15
technicalSentenceCount3
matches
0"Its brass casing caught the dim light, the needle quivering before settling toward the far wall."
1"Each step echoed unnaturally, as though the tunnel remembered footsteps long gone."
2"Somewhere ahead, a door creaked open, revealing shadows that moved with purpose."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount1
matches
0"Eva murmured, eyes darting across the uneven floor"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"Eva murmured (murmur)"
dialogueSentences21
tagDensity0.048
leniency0.095
rawRatio1
effectiveRatio0.095
75.9498%