Run: 2026-02-20-01KHY81PBJT4AXEEE215ZMBY79

Run Details

Duration:
43.3s
Cost:
$0.000392
Provider:
Novita

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
The air tasted of dust and something metallic, old pennies and regret. Harlow Quinn descended the slick, concrete steps, each footfall echoing into the cavernous space. Camden Town above, a thrum of Saturday night revelry, felt miles away. This was another world, layered beneath the everyday. The Veil Market. She hated coming down here. The abandoned tube station reeked of damp and forgotten things. Fluorescent lights, rigged to a generator humming somewhere in the tunnels, cast a sickly yellow glow on the scene. A cluster of figures huddled near the center of the platform—uniformed officers attempting to look professional amidst the grime. Detective Inspector Davies, a man built like a disappointed bulldog, spotted her and waved a dismissive hand. “Quinn. Glad you could make it.” Harlow didn't return the gesture. She moved toward the body, her gaze already cataloging the discrepancies. A man, mid-thirties, sprawled on the disused tracks. Expensive suit, Italian leather shoes. Looked like a City type. A single, precise wound marred the crisp white of his shirt. “Clean,” she observed, not to Davies, but to the space around her. “Too clean.” “Knife work,” Davies offered, his voice booming. “Professional. Likely a dispute over goods. This market attracts all sorts.” Harlow crouched, ignoring the protesting creak of her knees. The victim’s hands were empty, palms up, as if in supplication. No defensive wounds. Odd. And the blood. It wasn’t pooling naturally. It looked…thin. Almost watery. She touched the edge of the stain with a gloved finger, then brought it close to her nose. A faint coppery scent, yes, but underneath…something else. Something she couldn’t quite place. “He wasn’t robbed,” she stated, rising. “Wallet’s still there, watch untouched.” A worn leather watch, she noted, similar to the one she wore herself. A small detail, but details mattered. “Maybe it wasn't about money, then.” Davies shrugged, already dismissing her line of thought. “Could be a personal vendetta. We’re running his details now.” “Or,” Harlow countered, her voice a low rasp, “maybe it wasn't a person at all.” Davies snorted. “Oh, here we go. You and your…theories.” "Observe, Davies." She swept her hand across the scene. “Look at the lack of struggle. The precise wound. The unusual blood. And this." She gestured to a small, circular marking on the floor near the victim’s head. It wasn’t a scuff mark. It was…burned. A perfect circle, as if something had been placed there and removed. “Probably just some gang graffiti.” “Graffiti that radiates a faint chill?” Harlow asked, leaning closer. She could feel it now, a subtle drop in temperature. “Graffiti that smells faintly of ozone?" A young officer, pale-faced and clutching a notepad, piped up. “I thought I felt a draft, sir.” Davies glared at him. “You’re feeling the ventilation, Perkins. Now, find something useful to do.” Harlow continued her assessment, her eyes scanning the cavernous station. The Market vendors had already been cleared out, but traces remained. Stalls hastily dismantled, the lingering scent of incense and something acrid, like burnt sugar. She spotted Eva Kowalski near the edge of the platform, fiddling with the strap of her satchel and nervously tucking a strand of curly red hair behind her ear. Eva, bless her, didn’t flinch at Davies’s gruffness. She'd spent enough time researching the occult underbelly of London to develop a healthy disregard for skeptical authority figures. “Find anything interesting?” Harlow asked, moving towards her. Eva adjusted her round glasses. "The residue on the floor. It’s… unusual. I ran a preliminary scan with a spectrometer—it’s picking up traces of bismuth and sulfur. Also, a faint energy signature. Not electrical. Older.” “Older how?” “Think… alchemical,” Eva said, her voice barely a whisper. “Something involving binding. Or… warding.” Harlow’s gaze returned to the burned circle. “Warding? Against what?” “That’s the question, isn’t it?” Eva pulled a small brass compass from her satchel. A patina of verdigris covered the casing. The face was etched with strange, protective sigils. “I brought the Veil Compass. Just in case.” The needle spun wildly, then settled, pointing towards a section of the tunnel wall. “Well, that’s… ominous.” Davies huffed, approaching them. “What’s this now? Some sort of fancy toy?” “It’s attuned to supernatural energy, Inspector,” Eva explained patiently. “It points towards rifts or portals.” “Rifts? Portals? You're suggesting our victim was attacked by… what, a ghost?" “I’m suggesting we shouldn't dismiss possibilities simply because they're unconventional,” Harlow said, her voice sharp. “The evidence doesn't support a conventional explanation.” She walked towards the wall the compass indicated, her hand brushing against the cool, damp stone. The air here felt…thicker. Heavy. She ran her fingers along the surface, searching for anything out of the ordinary. A loose brick. A hidden switch. “There’s something behind this wall,” she murmured. “I can feel it.” “Don’t start tearing down a historical landmark, Quinn,” Davies warned. Harlow ignored him. She braced herself and pushed. The brick gave way with a groan, revealing a narrow opening, barely wide enough for a person to squeeze through. A gust of cold air rushed out, carrying with it a scent that made her stomach clench – the metallic tang of blood, magnified tenfold, mixed with the cloying sweetness of decay. “What did I tell you?” she said, her eyes fixed on the darkness beyond the opening. “It wasn’t a person.”
created_at"2026-02-20T19:22:25.024Z" 2/20/2026, 7:22:25 PM
model"google/gemma-3-27b-it"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency671
moderation_latency(null)
generation_time43170
tokens_prompt1173
tokens_completion1538
native_tokens_prompt1083
native_tokens_completion1315
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"
usage0.000391877
router(null)
provider_responses
0
endpoint_id"cf530f36-7cb8-4eb9-8953-880eef952af3"
id"c3cfc9d7-e433-4ba8-ae7c-6487a161d1c2"
is_byokfalse
latency600
model_permaslug"google/gemma-3-27b-it"
provider_name"Novita"
status200
api_type"completions"
id"gen-1771615345-YBJdBxKT2spqcoXUfIqY"
upstream_id"c3cfc9d7-e433-4ba8-ae7c-6487a161d1c2"
total_cost0.000391877
cache_discount(null)
upstream_inference_cost0
provider_name"Novita"

Evaluation details

Result Evaluator Details Meta Data
42.11% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags19
adverbTagCount3
adverbTags
0"Davies shrugged already [already]"
1"The needle spun wildly [wildly]"
2"Eva explained patiently [patiently]"
dialogueSentences38
tagDensity0.5
leniency1
rawRatio0.158
effectiveRatio0.158
94.35% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount885
totalAiIsmAdverbs1
found
0
adverb"nervously"
count1
highlights
0"nervously"
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)
43.50% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount885
totalAiIsms10
found
0
word"footfall"
count1
1
word"echoing"
count1
2
word"amidst"
count1
3
word"perfect"
count1
4
word"chill"
count1
5
word"could feel"
count1
6
word"scanning"
count1
7
word"whisper"
count1
8
word"etched"
count1
9
word"stomach"
count1
highlights
0"footfall"
1"echoing"
2"amidst"
3"perfect"
4"chill"
5"could feel"
6"scanning"
7"whisper"
8"etched"
9"stomach"
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
narrationSentences74
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences74
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences93
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords882
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount634
uniqueNames13
maxNameDensity1.58
worstName"Harlow"
maxWindowNameDensity3
worstWindowName"Eva"
discoveredNames
Quinn1
Town1
Saturday1
Veil1
Market2
Inspector1
Davies9
Italian1
City1
Harlow10
Eva6
Kowalski1
London1
persons
0"Quinn"
1"Inspector"
2"Davies"
3"Harlow"
4"Eva"
5"Kowalski"
places
0"Town"
1"London"
globalScore0.711
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences42
glossingSentenceCount0
matches(empty)
86.62% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.134
wordCount882
matches
0"not to Davies, but to the space around her"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences93
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs33
mean26.73
std18.43
cv0.689
sampleLengths
054
148
223
345
414
518
666
730
824
915
109
1156
125
1326
1417
1515
1664
1727
188
1935
202
2114
2210
2351
2415
2515
2612
2722
2841
2911
3010
3160
3220
91.04% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences74
matches
0"been placed"
1"been cleared"
2"was etched"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs112
matches
0"wasn’t pooling"
81.41% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences93
ratio0.022
matches
0"A cluster of figures huddled near the center of the platform—uniformed officers attempting to look professional amidst the grime."
1"A gust of cold air rushed out, carrying with it a scent that made her stomach clench – the metallic tang of blood, magnified tenfold, mixed with the cloying sweetness of decay."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount636
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.031446540880503145
lyAdverbCount10
lyAdverbRatio0.015723270440251572
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences93
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences93
mean9.48
std6.51
cv0.686
sampleLengths
012
114
212
38
43
55
610
719
819
917
106
115
1211
138
145
155
1611
1712
182
197
2011
219
2211
233
241
253
264
272
282
2918
308
315
326
3318
346
3514
3610
3715
382
397
409
4128
425
432
4412
455
4610
4710
486
4910
79.93% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.5053763440860215
totalSentences93
uniqueOpeners47
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences66
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount16
totalSentences66
matches
0"She hated coming down here."
1"She moved toward the body,"
2"she observed, not to Davies,"
3"It wasn’t pooling naturally."
4"She touched the edge of"
5"she stated, rising"
6"She swept her hand across"
7"She gestured to a small,"
8"It wasn’t a scuff mark."
9"She could feel it now,"
10"She spotted Eva Kowalski near"
11"She'd spent enough time researching"
12"She walked towards the wall"
13"She ran her fingers along"
14"She braced herself and pushed."
15"she said, her eyes fixed"
ratio0.242
5.45% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount60
totalSentences66
matches
0"The air tasted of dust"
1"Harlow Quinn descended the slick,"
2"Camden Town above, a thrum"
3"This was another world, layered"
4"The Veil Market."
5"She hated coming down here."
6"The abandoned tube station reeked"
7"A cluster of figures huddled"
8"Detective Inspector Davies, a man"
9"Harlow didn't return the gesture."
10"She moved toward the body,"
11"A man, mid-thirties, sprawled on"
12"A single, precise wound marred"
13"she observed, not to Davies,"
14"Davies offered, his voice booming"
15"Harlow crouched, ignoring the protesting"
16"The victim’s hands were empty,"
17"It wasn’t pooling naturally."
18"She touched the edge of"
19"A faint coppery scent, yes,"
ratio0.909
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences66
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences23
technicalSentenceCount1
matches
0"A gust of cold air rushed out, carrying with it a scent that made her stomach clench – the metallic tang of blood, magnified tenfold, mixed with the cloying swe…"
19.74% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags19
uselessAdditionCount4
matches
0"Davies offered, his voice booming"
1"Harlow countered, her voice a low rasp,"
2"Eva said, her voice barely a whisper"
3"Harlow said, her voice sharp"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags11
fancyCount6
fancyTags
0"she observed (observe)"
1"she stated (state)"
2"A worn leather watch she noted (note)"
3"Eva explained patiently (explain)"
4"she murmured (murmur)"
5"Davies warned (warn)"
dialogueSentences38
tagDensity0.289
leniency0.579
rawRatio0.545
effectiveRatio0.316
77.0273%