Run: 2026-02-26-01KJCRYPYBXXB4Z0FHZXEWPANV

Run Details

Model:
LFM2 24B
Duration:
19.2s
Cost:
$0.000150
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 fell in sheets across the cracked pavement. Streetlights blurred into smears of gold behind Detective Harlow Quinn’s goggles. She ran, boots splashing through puddles that reflected the neon glow of The Raven’s Nest sign. The air reeked of wet wool and burnt coffee. Behind her, footsteps echoed—light, hurried, deliberate. “Stop!” she shouted, voice cutting through the storm. A figure turned, silhouette sharp against the flickering light. Tomás Herrera. His scar caught the glow, a thin line across his forearm. He didn’t slow. “You know why I’m here,” Harlow called, breath fogging in the cold. “Your friend isn’t safe.” Tomás glanced over his shoulder, eyes wary. “I’m not carrying anyone.” “Not anymore.” She adjusted her leather watch, fingers brushing the worn strap. “You’ve been helping them. The clique. They’re not just playing games.” He hesitated, hand drifting to the Saint Christopher medallion at his throat. “I thought I was helping. They needed medicine. I didn’t know about… whatever this is.” Harlow’s jaw tightened. “You knew. You always knew.” A sudden turn. The alley narrowed, brick walls slick with moss. Rain drummed on metal grates. Tomás darted left, disappearing into a narrow passage. Harlow followed, boots slipping on wet stone. They descended. Stairs spiraled downward, each step creaking underfoot. The air grew thicker, damp with the scent of earth and something metallic. Torches flickered along the walls, casting long shadows. “Where are we going?” Tomás asked, voice low. “To the Veil Market.” She paused, listening. Distant voices murmured. “This place moves. You’ll see.” The stairs opened into a cavernous space. Underground torches lined the walls, illuminating stalls draped in tattered cloth. People haggled over vials of glowing liquid, bundles wrapped in parchment. A woman with silver hair offered a crystal orb. A man in a trench coat whispered to a shadowy figure. Harlow’s hand drifted to her gun. “Stay close.” Tomás nodded, eyes scanning the crowd. “What’s this market?” “Barter for secrets. For power. For survival.” She stepped toward a stall piled high with books bound in leather. “You shouldn’t be here.” A hand clamped on her arm. Tomás yanked free. “Let go!” Harlow twisted, but strong fingers held her. “Wait. Who are they?” The shadowy figure stepped forward. A hood obscured their face. “You seek answers, Detective?” Tomás swallowed. “I don’t know what I’m getting into.” The hood lifted. A face Harlow recognized—DS Morris’s twin sister, Elise. Her eyes burned with fury. “You think you can protect him? He’s already lost too much.” Harlow’s pulse quickened. “Morris died protecting others. Not for games.” Elise laughed bitterly. “Games? This is war. And you’re on the wrong side.” Tomás stepped between them. “Enough! We can talk later—” A bell tolled overhead. The market trembled. Stalls rattled. A voice echoed through the tunnels: “The veil thins tonight.” Harlow’s watch ticked loudly. She met Elise’s gaze. “This ends now.” Tomás reached for her hand. “Harlow—” But the ground shook. Lights flared. A portal yawned open behind them, swirling with green mist. The Veil Market dissolved into darkness. They fell. The world spun. Rain returned, heavier now. When they landed, the air tasted of iron. Tomás coughed, coughing up blood. Harlow stood, boots sinking into mud. “Where are we?” he rasped. Elise knelt, pressing a hand to his chest. “The market’s gone. But the hunt continues.” Harlow stared at the empty space where the market had been. Her watch clicked once. Then again. She turned to Tomás. “We follow the trail.” He nodded, eyes hollow. “Whatever’s next.” Above them, thunder rolled. Somewhere, a clock struck midnight. The city slept, unaware. The chase wasn’t over. It had only begun.
created_at"2026-02-26T10:47:14.986Z" 2/26/2026, 10:47:14 AM
model"liquid/lfm-2-24b-a2b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency346
moderation_latency(null)
generation_time19092
tokens_prompt1140
tokens_completion1081
native_tokens_prompt1071
native_tokens_completion984
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"
usage0.00015021
router(null)
provider_responses
0
endpoint_id"b5f259c3-1e77-40d6-8fa4-161cdf0e4a7c"
id"oYufEkP-2j9zxn-9d3edcfeb46be516"
is_byokfalse
latency346
model_permaslug"liquid/lfm-2-24b-a2b-20260224"
provider_name"Together"
status200
api_type"completions"
id"gen-1772102834-j7xT2mj2SK8ytHtK8KEg"
upstream_id"oYufEkP-2j9zxn-9d3edcfeb46be516"
total_cost0.00015021
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
totalTags8
adverbTagCount0
adverbTags(empty)
dialogueSentences30
tagDensity0.267
leniency0.533
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount605
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)
25.62% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount605
totalAiIsms9
found
0
word"footsteps"
count1
1
word"echoed"
count2
2
word"flickered"
count1
3
word"crystal"
count1
4
word"scanning"
count1
5
word"pulse"
count1
6
word"quickened"
count1
7
word"trembled"
count1
highlights
0"footsteps"
1"echoed"
2"flickered"
3"crystal"
4"scanning"
5"pulse"
6"quickened"
7"trembled"
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
emotionTells1
narrationSentences76
matches
0"d with fury"
86.47% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount0
narrationSentences76
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences98
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
totalWords603
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
28.59% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions40
wordCount453
uniqueNames15
maxNameDensity2.43
worstName"Harlow"
maxWindowNameDensity3.5
worstWindowName"Harlow"
discoveredNames
Detective1
Harlow11
Quinn1
Raven1
Nest1
Herrera1
Tomás11
Saint1
Christopher1
Distant1
Morris1
Elise4
Veil1
Market1
Rain3
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Herrera"
4"Tomás"
5"Saint"
6"Christopher"
7"Distant"
8"Morris"
9"Elise"
10"Market"
11"Rain"
places(empty)
globalScore0.286
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences36
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount603
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences98
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs36
mean16.75
std11.02
cv0.658
sampleLengths
050
18
225
316
411
523
627
78
831
930
108
1115
1249
138
149
1523
1611
1711
1814
199
2027
2110
2213
239
2419
2511
266
2722
282
2926
305
3115
3217
338
346
3521
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences76
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs106
matches(empty)
84.55% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences98
ratio0.02
matches
0"Behind her, footsteps echoed—light, hurried, deliberate."
1"A face Harlow recognized—DS Morris’s twin sister, Elise."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount455
adjectiveStacks0
stackExamples(empty)
adverbCount8
adverbRatio0.017582417582417582
lyAdverbCount3
lyAdverbRatio0.006593406593406593
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences98
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences98
mean6.15
std3.51
cv0.57
sampleLengths
08
111
216
39
46
58
69
72
811
93
1012
114
127
134
1412
1511
1612
1715
183
195
203
218
225
238
247
252
267
2713
288
298
307
313
325
337
3411
3511
369
3711
386
392
406
413
4219
434
446
453
462
477
484
495
72.79% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.4489795918367347
totalSentences98
uniqueOpeners44
49.02% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences68
matches
0"Somewhere, a clock struck midnight."
ratio0.015
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount14
totalSentences68
matches
0"She ran, boots splashing through"
1"she shouted, voice cutting through"
2"His scar caught the glow,"
3"He didn’t slow."
4"She adjusted her leather watch,"
5"He hesitated, hand drifting to"
6"She paused, listening"
7"She stepped toward a stall"
8"Her eyes burned with fury."
9"She met Elise’s gaze."
10"Her watch clicked once."
11"She turned to Tomás."
12"He nodded, eyes hollow."
13"It had only begun."
ratio0.206
11.47% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount61
totalSentences68
matches
0"Rain fell in sheets across"
1"Streetlights blurred into smears of"
2"She ran, boots splashing through"
3"The air reeked of wet"
4"she shouted, voice cutting through"
5"A figure turned, silhouette sharp"
6"His scar caught the glow,"
7"He didn’t slow."
8"Harlow called, breath fogging in"
9"Tomás glanced over his shoulder,"
10"She adjusted her leather watch,"
11"He hesitated, hand drifting to"
12"Harlow’s jaw tightened."
13"A sudden turn."
14"The alley narrowed, brick walls"
15"Rain drummed on metal grates."
16"Tomás darted left, disappearing into"
17"Harlow followed, boots slipping on"
18"Stairs spiraled downward, each step"
19"The air grew thicker, damp"
ratio0.897
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences68
matches(empty)
ratio0
71.43% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences10
technicalSentenceCount1
matches
0"She ran, boots splashing through puddles that reflected the neon glow of The Raven’s Nest sign."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount4
matches
0"she shouted, voice cutting through the storm"
1"Harlow called, breath fogging in the cold"
2"She adjusted, fingers brushing the worn strap"
3"Tomás asked, voice low"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"she shouted (shout)"
dialogueSentences30
tagDensity0.1
leniency0.2
rawRatio0.333
effectiveRatio0.067
80.9976%