Run: 2026-02-20-01KHY9Y12ZM99E2R80VD7GF8PD

Run Details

Duration:
30.5s
Cost:
$0.000235
Provider:
DeepInfra

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
The rain tasted like grit and exhaust. Harlow shoved a stray strand of salt-and-pepper hair behind her ear, the movement stiff, practiced. Three blocks. He’d gained three blocks on her in the last five minutes, weaving through the late-night crowds with a disconcerting grace that defied his build. Liam Mercer. Petty thief, fence of dubious artifacts, and currently, her prime suspect in a string of disappearances the Met was politely ignoring. Her shoes slapped against the slick pavement. The neon glow of Leicester Square bled across the wet asphalt, painting the scene in lurid hues of pink and green. Mercer moved with purpose, not the panicked flailing of a cornered rat. That bothered her. It suggested something… planned. She risked a glance over her shoulder. A scattering of late-night revelers, a cabbie scanning for fares, a lone, huddled figure in a doorway. No one seemed to notice the woman in a dark trench coat sprinting through the rain, or the man she was chasing. Good. He ducked into a narrow alley, the stench of rotting garbage assaulting her nostrils. Harlow followed without hesitation, the alley walls closing in, the rain intensifying. Mercer was gone. “Damn it,” she muttered, her breath misting in the cold air. She scanned the surrounding buildings, searching for any sign of him. A fire escape, a rooftop access, a window left ajar. Nothing. “Looking for someone, Detective?” The voice was low, smooth, laced with a cynical amusement that tightened her jaw. Harlow spun around, her hand instinctively reaching for the Glock tucked into her holster. Silas stood in the alley’s mouth, leaning against the brick wall of a building, a thin plume of smoke curling from the cigarette dangling from his lips. The distinctive green neon sign of The Raven's Nest pulsed above him, casting an eerie glow on his face. He was a fixture in Soho, a purveyor of oddities, and a man who knew more than he let on. “Mercer,” Harlow said, her voice clipped. “He just went this way.” Silas took a slow drag from his cigarette. “He’s a frequent visitor. Prefers the back.” “Back where?” Silas flicked the cigarette to the ground, grinding it out under his heel. “Down, Detective. Considerably down.” He gestured with a subtle nod toward a nondescript metal door tucked into the side of the building. “Beneath your feet.” Harlow’s gut twisted. She knew that look on Silas’s face. Calculated neutrality masking something far more complex. She’d dealt with his kind before. Players. They thrived in the shadows, manipulating events for their own amusement. “What’s down there?” she asked, keeping her voice level. “A market,” Silas said, the word dripping with casual indifference. “An underground sort of place. Trades in things most people wouldn’t even believe exist.” “The Veil Market,” Harlow breathed, the name a cold weight in her chest. Rumors. Whispers amongst the uniformed officers. A black market for… unusual goods. She’d dismissed it, filed it away as cop’s folklore. Now… She pictured the disappearance reports. The cryptic ransoms. The witnesses who spoke of shadows and whispers. Could it be connected? “He’s got something, Mercer. Something worth disappearing for,” she said, her gaze fixed on the metal door. Silas shrugged, the movement almost imperceptible. “Everything has a price, Detective. Even information. And passage.” “Passage requires…?” Silas smiled, a flash of white teeth in the dim light. “A token. Bone. Clean bone. A small piece will do.” Harlow raised an eyebrow. "Bone?" “It’s the currency of that realm,” Silas said, his voice devoid of inflection. "Guarantees safe passage. No swearing. No questions asked. Though I wouldn't encourage any prolonged stays." She considered her options. Risk chasing Mercer into an unknown, probably illegal, underground market? A market that dealt in things she barely understood? A market that, according to Silas, required a bone token? Or abandon the pursuit, chalk it up to a dead end, and return to the paperwork and dismissive superiors. Her watch, a worn leather band against her wrist, ticked with relentless precision. DS Morris. Three years. The case, the unanswered questions, the gnawing feeling that something vital was being concealed. This felt… similar. The brush of something unexplainable just beyond her grasp. She thought of the families of the missing, their faces etched with worry and fear. She thought of Morris, and the circumstances surrounding his death, the lingering unease that she couldn’t shake. "Tomás knows the lay of the land," Silas added, as if reading her mind. "He can get you a token. And a bit of background. But few tend to survive lengthy negotiations with the merchant." “Tomás?” Harlow frowned. “Who’s Tomás?” “Someone who specializes in… unique medical needs,” Silas replied, his smile widening slightly. “He’s down there now, most likely. A favor for a client.” She tried to reconcile the information swirling in her head. A clandestine meeting place. A market for the supernatural. A former paramedic providing off-the-books medical care. Harlow's gaze landed on the metal door. The rain hammered against the alley walls, drowning out the sounds of the city above. This was a descent. A plunge into a world she wasn’t sure she was ready for. But Mercer was down there. And so were answers. “I need to speak with this Tomás,” she said, her voice hardening. Silas inclined his head, a flicker of something unreadable in his eyes. “He’ll be expecting you. But be warned, Detective. The Veil Market doesn’t take kindly to disruptions.” Harlow reached into her pocket, pulling out a small, tarnished silver coin she’d confiscated from a suspect years ago. It felt inadequate somehow, a pathetic offering to whatever lay below. She needed bone. And she needed to find Mercer. She turned to Silas. “Give me Tomás’s location. And tell him I’m coming.” Silas pointed to a darkened corner of The Raven’s Nest. “He prefers the back room. Behind the bookshelf. Tell him Silas sent you. He’ll understand.” Harlow nodded, straightened her trench coat, and headed toward the bar. She could feel the weight of the rain, the weight of the unanswered questions, the weight of the unknown pressing down on her. One step at a time. One shadow at a time. She was a detective. It was her job to follow the trail, no matter how dark, how dangerous, or how far it led her from the light. But as she pushed open the door to The Raven’s Nest, the scent of stale beer and something else, something faintly metallic and unsettling, filled her nostrils. She couldn't shake the feeling that she was walking into a trap. And she suspected that by the time she found Mercer, it might already be too late.
created_at"2026-02-20T19:55:22.094Z" 2/20/2026, 7:55:22 PM
model"google/gemma-3-12b-it"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency437
moderation_latency(null)
generation_time30412
tokens_prompt938
tokens_completion1811
native_tokens_prompt860
native_tokens_completion1542
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"
usage0.00023486
router(null)
provider_responses
0
endpoint_id"eb06dc92-5a16-47ec-a776-6ef956457c47"
id"chatcmpl-ROjzvI4snwHSRmpT2jUB7dWn"
is_byokfalse
latency48
model_permaslug"google/gemma-3-12b-it"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771617322-qXrYpLLV217kdmxKOTOn"
upstream_id"chatcmpl-ROjzvI4snwHSRmpT2jUB7dWn"
total_cost0.00023486
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags12
adverbTagCount0
adverbTags(empty)
dialogueSentences29
tagDensity0.414
leniency0.828
rawRatio0
effectiveRatio0
95.52% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1115
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"slightly"
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)
23.77% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1115
totalAiIsms17
found
0
word"scanning"
count1
1
word"scanned"
count1
2
word"pulsed"
count1
3
word"flicked"
count1
4
word"calculated"
count1
5
word"complex"
count1
6
word"casual indifference"
count1
7
word"weight"
count4
8
word"eyebrow"
count1
9
word"etched"
count1
10
word"clandestine"
count1
11
word"flicker"
count1
12
word"unreadable"
count1
13
word"could feel"
count1
highlights
0"scanning"
1"scanned"
2"pulsed"
3"flicked"
4"calculated"
5"complex"
6"casual indifference"
7"weight"
8"eyebrow"
9"etched"
10"clandestine"
11"flicker"
12"unreadable"
13"could feel"
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
narrationSentences100
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences100
filterMatches
0"watch"
hedgeMatches
0"seemed to"
1"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences117
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen27
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1109
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions46
wordCount912
uniqueNames12
maxNameDensity1.54
worstName"Silas"
maxWindowNameDensity3.5
worstWindowName"Silas"
discoveredNames
Mercer7
Met1
Leicester1
Square1
Glock1
Raven3
Nest3
Soho1
Silas14
Harlow11
Rumors1
Morris2
persons
0"Mercer"
1"Square"
2"Glock"
3"Raven"
4"Silas"
5"Harlow"
6"Morris"
places
0"Leicester"
1"Soho"
globalScore0.732
windowScore0.5
70.63% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences63
glossingSentenceCount2
matches
0"tasted like grit and exhaust"
1"as if reading her mind"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1109
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences117
matches
0"knew that look"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs39
mean28.44
std16.92
cv0.595
sampleLengths
071
147
247
329
433
54
628
766
811
915
102
1138
1235
139
1424
1535
1620
1717
1815
192
2021
215
2228
2352
2443
2532
2635
275
2824
2926
3047
3112
3228
3339
3413
3525
3634
3737
3855
98.25% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences100
matches
0"was gone"
1"being concealed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs146
matches
0"was chasing"
1"was walking"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences117
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount918
adjectiveStacks1
stackExamples
0"small, tarnished silver coin"
adverbCount19
adverbRatio0.020697167755991286
lyAdverbCount7
lyAdverbRatio0.007625272331154684
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences117
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences117
mean9.48
std6.47
cv0.682
sampleLengths
07
115
22
324
42
521
67
721
812
93
103
111
127
1317
1422
151
1614
1712
183
1911
2011
2110
221
234
2414
2514
2627
2719
2820
296
305
318
327
332
3413
3522
363
373
387
397
406
411
4211
439
4410
4514
4613
471
485
494
64.67% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.4188034188034188
totalSentences117
uniqueOpeners49
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences86
matches(empty)
ratio0
85.12% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences86
matches
0"He’d gained three blocks on"
1"Her shoes slapped against the"
2"It suggested something…"
3"She risked a glance over"
4"He ducked into a narrow"
5"she muttered, her breath misting"
6"She scanned the surrounding buildings,"
7"He was a fixture in"
8"He gestured with a subtle"
9"She knew that look on"
10"She’d dealt with his kind"
11"They thrived in the shadows,"
12"she asked, keeping her voice"
13"She’d dismissed it, filed it"
14"She pictured the disappearance reports."
15"she said, her gaze fixed"
16"She considered her options."
17"Her watch, a worn leather"
18"She thought of the families"
19"She thought of Morris, and"
ratio0.337
35.58% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount73
totalSentences86
matches
0"The rain tasted like grit"
1"Harlow shoved a stray strand"
2"He’d gained three blocks on"
3"Her shoes slapped against the"
4"The neon glow of Leicester"
5"Mercer moved with purpose, not"
6"That bothered her."
7"It suggested something…"
8"She risked a glance over"
9"A scattering of late-night revelers,"
10"He ducked into a narrow"
11"Harlow followed without hesitation, the"
12"Mercer was gone."
13"she muttered, her breath misting"
14"She scanned the surrounding buildings,"
15"A fire escape, a rooftop"
16"The voice was low, smooth,"
17"Harlow spun around, her hand"
18"Silas stood in the alley’s"
19"The distinctive green neon sign"
ratio0.849
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences86
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences39
technicalSentenceCount2
matches
0"He’d gained three blocks on her in the last five minutes, weaving through the late-night crowds with a disconcerting grace that defied his build."
1"The voice was low, smooth, laced with a cynical amusement that tightened her jaw."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount7
matches
0"she muttered, her breath misting in the cold air"
1"Harlow said, her voice clipped"
2"Silas said, the word dripping with casual indifference"
3"Silas said, his voice devoid of inflection"
4"Silas added, as if reading her mind"
5"Silas replied, his smile widening slightly"
6"she said, her voice hardening"
46.55% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags10
fancyCount3
fancyTags
0"she muttered (mutter)"
1"Harlow breathed (breathe)"
2"Silas added (add)"
dialogueSentences29
tagDensity0.345
leniency0.69
rawRatio0.3
effectiveRatio0.207
78.8028%