Run: 2026-02-26-01KJCRYA6YKQXMTH8TR1QMXWGF

Run Details

Model:
LFM2 24B
Duration:
23.1s
Cost:
$0.000162
Provider:
Together

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
Rain fell in sheets over Soho, turning cobblestones into mirrors that reflected the sickly green glow of the Raven’s Nest sign. Detective Harlow Quinn’s boots splashed through puddles as she pursued the figure ahead, each step measured by military precision. The man ahead—Tomás Herrera—darted between alleyways, his scarred forearm catching stray beams of light like a warning. Harlow’s leather watch ticked against her wrist, counting seconds that felt heavier than lead. She’d known Tommy since his days as a paramedic, when his hands had steadied broken bones instead of syringes. Now, he moved like something hunted, something aware. The chase led them to a narrow door beneath a flickering streetlamp, half-hidden behind a boarded-up shop. A bookshelf stood askew, its hinges groaning as it swung open to reveal a stairwell descending into darkness. Harlow paused, breath fogging in the cold air. Her sharp jaw tightened; the scent of damp stone and something metallic—blood?—curled upward. She glanced back. Tommy had vanished into the shaft, his silhouette swallowed by the gloom. “Not today,” she muttered, though doubt gnawed at her. Three years ago, DS Morris had fallen the same way, leaving only a whisper of unnatural cold where his body lay. Harlow’s fingers brushed the silver locket at her throat, its surface cool despite the rain. She’d never stopped hunting the truth, even when it led her here, into places where even her badge couldn’t protect her. The stairwell opened into a cavernous space lit by green neon signs that buzzed like dying insects. The Veil Market sprawled before her—a labyrinth of stalls draped in tattered velvet, their wares glinting with forbidden allure. Alchemical vials pulsed faintly, their contents shifting like living things. A woman in a moth-eaten cloak bartered with a skeletal figure over a bundle wrapped in black silk. Harlow’s gaze snagged on a stall selling vials labeled *Sangre de Dragón* and *Lágrimas de Loba*. Her stomach churned. “Tomás?” she called, her voice swallowed by the din. No answer. A hand clamped over her mouth. She spun, boots skidding on wet tiles. A man emerged from the shadows, his face obscured by a hood. “You shouldn’t be here,” he said, voice rough as gravel. His accent was Spanish, but the cadence was wrong—too deliberate. “This place… it changes people.” Harlow’s eyes darted to the exit, then back to him. The air hummed with tension. She could feel it—the pull of secrets buried deep, the weight of choices that would echo long after this night ended. “Who are you?” she demanded, stepping closer. He smiled, revealing teeth too white against the grime. “Someone who knows what you’re looking for. And someone who can help you find it.” His gaze flicked to her watch. “But first, you have to decide: walk away, or step deeper?” Behind her, the bar’s patrons murmured, their whispers weaving into a chorus of warnings. Harlow’s pulse thrummed in her ears. She thought of Morris, of the cold that had taken him, of the lies she’d uncovered in his files—clues pointing to this very market, to forces beyond her understanding. Tomás reached into his coat, producing a small bone token shaped like a raven. It glinted in the green light. “Take this,” he said. “It’ll keep you safe… if you trust me.” Harlow hesitated. The token felt warm, almost alive. Her hand hovered, then closed around it. The man vanished as suddenly as he appeared, leaving only the scent of ozone and the echo of his laughter. She turned toward the nearest stall, where a merchant with eyes like molten gold beckoned her forward. The air thickened, pressing against her skin like a living thing. Somewhere above, thunder rumbled, but the storm had nothing to do with the dread coiling in her gut. Tomás was waiting at the edge of a crowded aisle, his posture relaxed but his eyes sharp. “You came,” he said, nodding at the token. “Good. But remember—every deal here has a price.” Harlow’s grip tightened on her gun. “What price?” He stepped closer, voice dropping to a whisper. “The kind you won’t see coming.” The market pulsed around them, alive with whispers and shadows. Somewhere in the distance, a bell tolled—a sound both ancient and urgent. Harlow’s decision hung in the air, heavy as the rain. She could turn back, return to the streets where the rain washed away everything. Or she could follow, into the unknown, where the lines between hunter and prey blurred like smoke. Her boot scuffed the floor. The choice was hers. But in the Veil Market, choices were never simple. They were doors. And doors led everywhere.
created_at"2026-02-26T10:47:03.519Z" 2/26/2026, 10:47:03 AM
model"liquid/lfm-2-24b-a2b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency282
moderation_latency(null)
generation_time21398
tokens_prompt914
tokens_completion1234
native_tokens_prompt881
native_tokens_completion1128
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"
usage0.00016179
router(null)
provider_responses
0
endpoint_id"b5f259c3-1e77-40d6-8fa4-161cdf0e4a7c"
id"oYufBKu-2j9zxn-9d3edcb7056b1b0a"
is_byokfalse
latency282
model_permaslug"liquid/lfm-2-24b-a2b-20260224"
provider_name"Together"
status200
api_type"completions"
id"gen-1772102823-UeRmn6hRDOv8AmJYavm5"
upstream_id"oYufBKu-2j9zxn-9d3edcb7056b1b0a"
total_cost0.00016179
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
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences13
tagDensity0.538
leniency1
rawRatio0
effectiveRatio0
87.15% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount778
totalAiIsmAdverbs2
found
0
adverb"very"
count1
1
adverb"suddenly"
count1
highlights
0"very"
1"suddenly"
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)
0.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount778
totalAiIsms19
found
0
word"measured"
count1
1
word"gloom"
count1
2
word"whisper"
count2
3
word"velvet"
count1
4
word"glinting"
count1
5
word"pulsed"
count2
6
word"silk"
count1
7
word"stomach"
count1
8
word"churned"
count1
9
word"tension"
count1
10
word"could feel"
count1
11
word"weight"
count1
12
word"echo"
count2
13
word"flicked"
count1
14
word"pulse"
count1
15
word"almost alive"
count1
highlights
0"measured"
1"gloom"
2"whisper"
3"velvet"
4"glinting"
5"pulsed"
6"silk"
7"stomach"
8"churned"
9"tension"
10"could feel"
11"weight"
12"echo"
13"flicked"
14"pulse"
15"almost alive"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"stomach dropped/sank"
count1
1
label"hung in the air"
count1
highlights
0"stomach churned"
1"hung in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences62
matches(empty)
96.77% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences62
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences68
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen30
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords6
totalWords768
ratio0.008
matches
0"Sangre de Dragón"
1"Lágrimas de Loba"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
78.47% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions28
wordCount699
uniqueNames13
maxNameDensity1.43
worstName"Harlow"
maxWindowNameDensity2
worstWindowName"Harlow"
discoveredNames
Soho1
Raven1
Nest1
Harlow10
Quinn1
Tomás3
Herrera1
Tommy2
Three1
Morris2
Veil2
Market2
Spanish1
persons
0"Raven"
1"Harlow"
2"Quinn"
3"Tomás"
4"Herrera"
5"Tommy"
6"Morris"
7"Market"
places
0"Soho"
1"Veil"
globalScore0.785
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences51
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount768
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences68
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs19
mean40.42
std26.07
cv0.645
sampleLengths
098
171
266
383
411
550
636
77
841
949
1032
1135
1246
1333
148
1514
1663
179
1816
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences62
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs128
matches
0"was waiting"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount9
semicolonCount1
flaggedSentences7
totalSentences68
ratio0.103
matches
0"The man ahead—Tomás Herrera—darted between alleyways, his scarred forearm catching stray beams of light like a warning."
1"Her sharp jaw tightened; the scent of damp stone and something metallic—blood?—curled upward."
2"The Veil Market sprawled before her—a labyrinth of stalls draped in tattered velvet, their wares glinting with forbidden allure."
3"His accent was Spanish, but the cadence was wrong—too deliberate."
4"She could feel it—the pull of secrets buried deep, the weight of choices that would echo long after this night ended."
5"She thought of Morris, of the cold that had taken him, of the lies she’d uncovered in his files—clues pointing to this very market, to forces beyond her understanding."
6"Somewhere in the distance, a bell tolled—a sound both ancient and urgent."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount711
adjectiveStacks0
stackExamples(empty)
adverbCount24
adverbRatio0.03375527426160337
lyAdverbCount5
lyAdverbRatio0.007032348804500703
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences68
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences68
mean11.29
std6.07
cv0.537
sampleLengths
021
119
217
314
419
58
617
718
88
913
103
1112
129
1321
1415
1521
1617
1719
1810
1918
2016
213
229
232
246
257
2612
2710
2810
295
3010
315
3221
337
349
3521
3611
3714
386
3929
4014
416
424
438
442
456
467
4720
4817
4911
70.59% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.4411764705882353
totalSentences68
uniqueOpeners30
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences59
matches
0"Somewhere above, thunder rumbled, but"
1"Somewhere in the distance, a"
ratio0.034
64.07% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences59
matches
0"She’d known Tommy since his"
1"Her sharp jaw tightened; the"
2"She glanced back."
3"she muttered, though doubt gnawed"
4"She’d never stopped hunting the"
5"Her stomach churned."
6"she called, her voice swallowed"
7"She spun, boots skidding on"
8"he said, voice rough as"
9"His accent was Spanish, but"
10"She could feel it—the pull"
11"she demanded, stepping closer"
12"He smiled, revealing teeth too"
13"His gaze flicked to her"
14"She thought of Morris, of"
15"It glinted in the green"
16"Her hand hovered, then closed"
17"She turned toward the nearest"
18"he said, nodding at the"
19"He stepped closer, voice dropping"
ratio0.39
36.27% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount50
totalSentences59
matches
0"Rain fell in sheets over"
1"Detective Harlow Quinn’s boots splashed"
2"The man ahead—Tomás Herrera—darted between"
3"Harlow’s leather watch ticked against"
4"She’d known Tommy since his"
5"The chase led them to"
6"A bookshelf stood askew, its"
7"Harlow paused, breath fogging in"
8"Her sharp jaw tightened; the"
9"She glanced back."
10"Tommy had vanished into the"
11"she muttered, though doubt gnawed"
12"Harlow’s fingers brushed the silver"
13"She’d never stopped hunting the"
14"The stairwell opened into a"
15"The Veil Market sprawled before"
16"A woman in a moth-eaten"
17"Harlow’s gaze snagged on a"
18"Her stomach churned."
19"she called, her voice swallowed"
ratio0.847
84.75% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences59
matches
0"Now, he moved like something"
ratio0.017
79.83% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences34
technicalSentenceCount3
matches
0"A bookshelf stood askew, its hinges groaning as it swung open to reveal a stairwell descending into darkness."
1"She could feel it—the pull of secrets buried deep, the weight of choices that would echo long after this night ended."
2"She thought of Morris, of the cold that had taken him, of the lies she’d uncovered in his files—clues pointing to this very market, to forces beyond her underst…"
53.57% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount1
matches
0"he said, voice rough as gravel"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount2
fancyTags
0"she muttered (mutter)"
1"she demanded (demand)"
dialogueSentences13
tagDensity0.462
leniency0.923
rawRatio0.333
effectiveRatio0.308
80.6044%