Run: 2026-02-26-01KJCS6YZDBKYP4EHH2MCDRXCD

Run Details

Model:
LFM2 24B
Duration:
27.6s
Cost:
$0.000175
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 the 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, military precise. The man ahead moved with the loose-limbed grace of someone accustomed to shadows—Tomás Herrera, though she hadn’t known his name until last week when a witness described a scarred forearm and a Saint Christopher medallion. Now she knew him by the way he glanced over his shoulder, by the faint scent of antiseptic clinging to his coat despite the storm. Harlow’s hand rested on the grip of her service pistol, though she’d never drawn it tonight. Not yet. The city had taught her that force often bred more questions than answers. Three years ago, her partner Morris had fallen into a case that ended in blood and whispers of something beyond the veil. Since then, she’d chased ghosts in every alley, every whispered rumor. This chase felt different. The air hummed with something unseen, like the moment before lightning splits the sky. Herrera darted between a shuttered bakery and a pawnshop, his movements deliberate yet hurried. Harlow matched him, her breath fogging in the cold. She’d seen him before—three nights prior, slumped outside a clinic in Camden, bleeding from a knife wound that shouldn’t have killed him. She’d patched him up, kept him alive, and now here he was, slipping deeper into the labyrinth of the city’s underbelly. The streets narrowed, leading her toward a derelict building half-hidden by graffiti. Its facade bore the faded logo of a raven, wings spread wide. A faint draft carried the smell of burnt incense and something metallic—blood, maybe, or the residue of forbidden alchemy. Harlow paused, scanning the entrance. A bookshelf stood askew in the doorway, its shelves crammed with yellowed tomes and cracked maps. Beyond it, darkness pulsed like a living thing. “Tomás Herrera,” she called, her voice steady despite the tremor in her hands. No answer. Just the creak of the shelf as someone shifted behind it. She stepped forward, fingers brushing the leather watch on her wrist—the same one Morris had given her before his death. Its ticking was a metronome counting down to whatever came next. The air thickened, pressing against her skin like a held breath. Then, with a grunt, the bookshelf swung inward, revealing a staircase spiraling downward into blackness. The Veil Market waited below. Stalls lined the walls, their wares glinting under flickering lanterns. Vials of liquid shadow, scrolls inscribed with runes, and instruments that hummed with latent power. A woman in a moth-eaten cloak bartered with a figure whose face was obscured by a porcelain mask. The scent of myrrh and ozone mingled with the damp wool of passersby. Harlow’s pulse quickened. This wasn’t just any black market—it was a crossroads, a place where deals were struck in blood and secrets traded for survival. Herrera emerged from the shadows, his medallion catching the light. “You followed me here,” he said, voice low, accented Spanish softening the edges. “I followed *him*,” she corrected, eyes darting to the hidden room behind him. “Where’s Morris?” His gaze flickered to the staircase, then back to her. “He’s… not here.” “Liar.” A laugh, brittle and sharp. “Maybe. But he’s alive. And he knows things.” Harlow’s fingers tightened around her gun. “What do you mean?” Herrera reached into his coat, producing a small bone token shaped like a raven’s wing. She recognized it instantly—the entry requirement for the Veil Market. A trinket given by those who’d already paid the price to enter. “This isn’t a game anymore, Detective. You want answers? You’ll have to go further.” Above them, the sound of footsteps echoed—too many, too synchronized. Harlow’s jaw set. She’d spent eighteen years in this city, learning when to trust instincts and when to let protocol guide her. This felt like both. “Why bring me here?” she asked. “Because you’re the only one who can see what’s coming.” His hand brushed hers, tentative. “The Veil isn’t just a market. It’s a threshold. Cross it, and you’ll find the truth—but you might not survive the other side.” A distant shout shattered the tension. Harlow spun, gun raised, but there was nothing to shoot. Only the wind, howling through the tunnels. “Stay sharp,” Herrera muttered. “They’re watching. Always.” She hesitated, then stepped forward, the weight of her watch pressing against her wrist. Below, the market stretched endlessly, a maze of danger and possibility. Somewhere in that chaos lay answers—and perhaps, a reckoning. The rain intensified, washing away footprints, erasing paths. Harlow moved deeper, each footfall a promise: she would not leave until the truth was unearthed, even if it meant stepping into the abyss. Somewhere above, the Raven’s Nest sign flickered, its green light casting long shadows that danced like specters. The city slept, unaware of the war waged in its veins. And in the darkness, something stirred.
created_at"2026-02-26T10:51:45.346Z" 2/26/2026, 10:51:45 AM
model"liquid/lfm-2-24b-a2b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency249
moderation_latency(null)
generation_time27566
tokens_prompt914
tokens_completion1372
native_tokens_prompt881
native_tokens_completion1238
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"
usage0.00017499
router(null)
provider_responses
0
endpoint_id"b5f259c3-1e77-40d6-8fa4-161cdf0e4a7c"
id"oYugd75-2j9zxn-9d3ee39870b2e51b"
is_byokfalse
latency249
model_permaslug"liquid/lfm-2-24b-a2b-20260224"
provider_name"Together"
status200
api_type"completions"
id"gen-1772103105-qRKhZ8xsWJa018UezuzZ"
upstream_id"oYugd75-2j9zxn-9d3ee39870b2e51b"
total_cost0.00017499
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
totalTags6
adverbTagCount0
adverbTags(empty)
dialogueSentences14
tagDensity0.429
leniency0.857
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount834
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)
0.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount834
totalAiIsms17
found
0
word"measured"
count1
1
word"facade"
count1
2
word"scanning"
count1
3
word"pulsed"
count1
4
word"glinting"
count1
5
word"porcelain"
count1
6
word"pulse"
count1
7
word"quickened"
count1
8
word"flickered"
count2
9
word"footsteps"
count1
10
word"echoed"
count1
11
word"synchronized"
count1
12
word"shattered"
count1
13
word"tension"
count1
14
word"weight"
count1
15
word"footfall"
count1
highlights
0"measured"
1"facade"
2"scanning"
3"pulsed"
4"glinting"
5"porcelain"
6"pulse"
7"quickened"
8"flickered"
9"footsteps"
10"echoed"
11"synchronized"
12"shattered"
13"tension"
14"weight"
15"footfall"
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
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)
analyzedSentences70
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen37
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords825
ratio0.001
matches
0"him"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
89.35% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions31
wordCount742
uniqueNames14
maxNameDensity1.21
worstName"Harlow"
maxWindowNameDensity2
worstWindowName"Harlow"
discoveredNames
Soho1
Raven2
Nest2
Harlow9
Quinn1
Tomás1
Herrera5
Saint1
Christopher1
Morris2
Camden1
Veil2
Market2
Spanish1
persons
0"Raven"
1"Harlow"
2"Quinn"
3"Tomás"
4"Herrera"
5"Saint"
6"Christopher"
7"Morris"
8"Market"
9"Spanish"
places
0"Soho"
1"Veil"
globalScore0.894
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences50
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount825
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences70
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs25
mean33
std27.83
cv0.843
sampleLengths
0100
182
266
372
413
513
657
75
881
923
1015
1113
121
1313
1410
1551
1636
176
1838
1923
207
2134
2232
2328
246
88.29% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences62
matches
0"was obscured"
1"were struck"
2"was unearthed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs130
matches
0"was, slipping"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences8
totalSentences70
ratio0.114
matches
0"The man ahead moved with the loose-limbed grace of someone accustomed to shadows—Tomás Herrera, though she hadn’t known his name until last week when a witness described a scarred forearm and a Saint Christopher medallion."
1"She’d seen him before—three nights prior, slumped outside a clinic in Camden, bleeding from a knife wound that shouldn’t have killed him."
2"A faint draft carried the smell of burnt incense and something metallic—blood, maybe, or the residue of forbidden alchemy."
3"She stepped forward, fingers brushing the leather watch on her wrist—the same one Morris had given her before his death."
4"This wasn’t just any black market—it was a crossroads, a place where deals were struck in blood and secrets traded for survival."
5"She recognized it instantly—the entry requirement for the Veil Market."
6"Above them, the sound of footsteps echoed—too many, too synchronized."
7"Somewhere in that chaos lay answers—and perhaps, a reckoning."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount753
adjectiveStacks0
stackExamples(empty)
adverbCount23
adverbRatio0.03054448871181939
lyAdverbCount5
lyAdverbRatio0.006640106241699867
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences70
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences70
mean11.79
std6.76
cv0.574
sampleLengths
022
118
235
325
416
52
613
722
811
94
1014
1114
129
1322
1421
1512
1612
1719
185
1916
208
2113
222
2311
2420
2511
2611
2715
285
2910
3015
3118
3213
333
3422
3510
3613
3713
382
3910
403
411
425
438
446
454
4615
4710
4812
4914
86.67% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.5285714285714286
totalSentences70
uniqueOpeners37
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences58
matches
0"Just the creak of the"
1"Then, with a grunt, the"
2"Only the wind, howling through"
3"Somewhere in that chaos lay"
4"Somewhere above, the Raven’s Nest"
ratio0.086
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount13
totalSentences58
matches
0"She’d seen him before—three nights"
1"She’d patched him up, kept"
2"Its facade bore the faded"
3"she called, her voice steady"
4"She stepped forward, fingers brushing"
5"Its ticking was a metronome"
6"he said, voice low, accented"
7"she corrected, eyes darting to"
8"His gaze flickered to the"
9"She recognized it instantly—the entry"
10"She’d spent eighteen years in"
11"His hand brushed hers, tentative"
12"She hesitated, then stepped forward,"
ratio0.224
63.45% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount46
totalSentences58
matches
0"Rain fell in sheets over"
1"Detective Harlow Quinn’s boots splashed"
2"The man ahead moved with"
3"Harlow’s hand rested on the"
4"The city had taught her"
5"This chase felt different."
6"The air hummed with something"
7"Herrera darted between a shuttered"
8"Harlow matched him, her breath"
9"She’d seen him before—three nights"
10"She’d patched him up, kept"
11"The streets narrowed, leading her"
12"Its facade bore the faded"
13"A faint draft carried the"
14"Harlow paused, scanning the entrance."
15"A bookshelf stood askew in"
16"she called, her voice steady"
17"She stepped forward, fingers brushing"
18"Its ticking was a metronome"
19"The air thickened, pressing against"
ratio0.793
86.21% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences58
matches
0"Now she knew him by"
ratio0.017
89.29% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences40
technicalSentenceCount3
matches
0"She’d seen him before—three nights prior, slumped outside a clinic in Camden, bleeding from a knife wound that shouldn’t have killed him."
1"Vials of liquid shadow, scrolls inscribed with runes, and instruments that hummed with latent power."
2"Somewhere above, the Raven’s Nest sign flickered, its green light casting long shadows that danced like specters."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags6
uselessAdditionCount4
matches
0"she called, her voice steady despite the tremor in her hands"
1"he said, voice low, accented Spanish softening the edges"
2"she corrected, eyes darting to the hidden room behind him"
3"His hand brushed, tentative"
7.14% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount2
fancyTags
0"she corrected (correct)"
1"Herrera muttered (mutter)"
dialogueSentences14
tagDensity0.357
leniency0.714
rawRatio0.4
effectiveRatio0.286
83.5721%