Run: 2026-02-25-01KJ95DK07NAQYAXZ54PHMDKKM

Run Details

Duration:
24.5s
Cost:
$0.010053
Provider:
Google AI Studio

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="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> 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.

Model response

AI
The rain over Camden didn't fall so much as it drifted, a fine, grey mist that turned the soot of the brickwork into a slick, black patina. Detective Harlow Quinn stepped out of her unmarked sedan, the heels of her boots clicking with military rhythm against the pavement. She didn't mind the damp. It was the smell that bothered her—a sharp, metallic tang that shouldn't have been there, rising from the throat of an alleyway leading toward the boarded-up entrance of the old South Kentish Town station. She paused to check her watch. 3:14 AM. The leather strap was butter-soft against her wrist, worn thin by eighteen years of service and the nervous habit of tightening it before a breach. She adjusted it, her sharp jaw set, and ducked under the blue-and-white tape. "Quinn! Over here," a voice echoed from the subterranean gloom. Harlow navigated the debris of the alley—shards of green glass, crumpled energy drink cans, the urban detritus of North London. At the mouth of the abandoned Tube station stood DS Miller. He looked tired, his Tie askew, clutching a thermos like a thermal detonator. "Tell me it’s a simple mugging, Miller," Harlow said, her voice a low, gravelly alto. She ran a hand through her closely cropped salt-and-pepper hair, smoothing down the damp strands. "I’d love to, Boss. But simple isn't the word of the day." Miller gestured toward the rusted iron gate that guarded the descent into the station. The padlock hadn't been picked or cut; it had been twisted until the steel snapped like a dry twig. "We’ve got a floater. Well, a sinker, technically. Down on the mezzanine level." Harlow followed him down. The air grew colder with every step, the ambient noise of Camden fading until the only sound was the distant, rhythmic hum of the Northern Line vibrating through the deep clay. They descended a spiral staircase where the tiles were falling off the walls like scabs. The scene was illuminated by portable halogen lamps that threw long, jagged shadows against the curves of the tunnel. In the center of the mezzanine, sprawled across a mosaic of grime-streaked Victorian tile, lay a man in his late twenties. He was dressed in expensive silk, a sharp contrast to the filth of the abandoned station. "Victim is Julian Vane," Miller said, reading from a notebook. "Trust fund type. Missing for forty-eight hours. Looks like he crawled in here to overdose. There’s a puncture wound in the neck, probably a needle." Harlow knelt beside the body, her brown eyes scanning the corpse with the heat-mapping intensity of a predator. She didn't touch him yet. She looked at his face. Vane’s expression wasn't one of narcotic bliss; his mouth was locked in a silent, jagged O, and his eyes—wide and clouded—were fixed on the ceiling. "You see a needle, Miller?" Harlow asked. "Not yet. CS is still sweeping the perimeter." "He didn't overdose," Harlow whispered. She reached out, gingerly tilting Vane’s head to the side. The puncture wound wasn't a needle prick. It was a perfectly circular hole, the edges cauterized and smelling of ozone. "Look at the lividity. Or the lack of it." Miller leaned in, frowning. "He’s a bit pale." "He’s hollow," Harlow corrected. She sat back on her haunches, her gaze drifting from the body to the floor. "There’s no blood. Not on his clothes, not on the tiles. You don't drain a man of six liters of fluid in an abandoned Tube station without making a mess, unless you’re using something that isn't on the Met's approved equipment list." She stood up and paced the perimeter of the mezzanine. Something was tugging at the back of her mind—a ghost of a memory from three years ago. The night DS Morris had disappeared into a London fog that felt too thick to be weather. The official report said he’d fallen into the Thames after a pursuit. Harlow knew better. She’d seen the way the shadows had moved that night, like silk caught in a draft. "Boss? What are you looking for?" Miller asked. Harlow didn't answer. She was looking at the dust. The mezzanine was thick with decades of soot, yet there was a clean, circular patch about ten feet from the body. It looked as though someone had placed a heavy trunk there and then vanished with it. Inside that clean circle, something caught the overhead light—a faint, greenish glimmer. She reached into her pocket, pulled out a latex glove, and snapped it on. She knelt and picked up a small, circular object. It was a bone token, carved from something ivory-white and polished to a high sheen. On one side was a debossed image of a gate; on the other, a series of symbols that made her head ache if she stared too long. "Uniform found a girl loitering near the surface," Miller said, interrupting her thoughts. "Total bookworm type. Claims she was taking 'architectural rubbings.' She’s got a bag full of old texts and a set of glasses thick enough to see the future." Harlow’s grip tightened on the token. "Red hair? Green eyes?" Miller blinked. "Yeah. How’d you know? We haven't even processed her ID." "Eva Kowalski," Harlow muttered. "The British Museum's favorite little mole." Harlow pocketed the token—a breach of protocol she’d justify later—and headed back up the stairs. She found the girl sitting on the bumper of a patrol car, huddled in a moth-eaten wool coat. Eva Kowalski looked exactly as she had in the surveillance photos Harlow had been collecting for months: curly red hair escaping a messy bun, round glasses fogged by the rain, and a worn leather satchel clutched to her chest as if it contained the Crown Jewels. As Harlow approached, Eva tucked a stray lock of hair behind her left ear—a nervous flick of the wrist Harlow had seen her do a dozen times in the museum’s reading room. "Detective Quinn," Eva said, her voice small but steady. "Ms. Kowalski. You’re a long way from the restricted archives," Harlow said, stopping inches from the girl. She used her height, leaning in just enough to be intimidating. "Found a body downstairs. A man named Julian Vane. Ring any bells?" Eva’s eyes flickered toward the alley, then back to Harlow. The green of her irises seemed to sharpen. "I’ve seen the name in the registries. He was a collector. Nothing more." "A collector of what?" "Curiosities. Things that don't belong in the light." Eva clutched her satchel tighter. Harlow reached out and gripped the strap of the satchel. "Like this?" She didn't pull it away, but she felt the weight of it. There were books in there, yes, but there was also something heavy and metallic. Harlow caught a glimpse of brass and a hint of green patina—verdigris. It was a small casing, etched with sigils. A Veil Compass. Harlow had seen sketches of them in Morris’s old, unofficial notebooks. They didn't point north; they pointed toward things that shouldn't exist. "You’re playing a dangerous game, Eva," Harlow said, her voice dropping to a dangerous whisper. "I know about the Market. I know it moves. And I know your little clique thinks they can navigate these waters without getting wet. But Julian Vane just drowned in dry air." Eva looked up at her, and for a second, the librarian facade slipped. There was a profound, weary intelligence in those green eyes. "If you know about the Market, Detective, then you know that some things are more dangerous than a murder investigation. You’re looking for a killer. I’m looking for the leak." "The leak?" Eva leaned in, her voice barely audible over the Camden traffic. "The Veil Market was supposed to be in Shoreditch tonight. It shifted. It shouldn't shift until the full moon. Someone is forcing the rifts open, Detective. And if they’re doing it here, in a place as thin as this station, then Julian Vane is just the first person to be pulled into the vacuum." Harlow felt a chill that had nothing to do with the London rain. She thought of the bone token in her pocket, the entry requirement for a place that officially didn't exist. She looked at the sharp, military precision of her own shadow on the pavement, then back at the girl. "Go home, Eva," Harlow said, releasing the satchel. "If I see you near a crime scene again, I won't care how many masters degrees you have. I'll throw you in a cell until you tell me everything you know about Morris." Eva flinched at the name. She didn't say a word. She just adjusted her glasses, tucked her hair behind her ear one last time, and disappeared into the grey mist of Camden High Street. Harlow stood alone by the police tape, the metal tang of ozone still stinging her nostrils. She looked down at her watch. The second hand was stuttering, ticking backward for three beats before jumping forward five. Standard physics were failing. She looked toward the abandoned station entrance. Miller and the others saw a crime scene—a tragedy of the urban underbelly. But Harlow Quinn, with eighteen years of seeing what people tried to hide, saw the truth. The station wasn't just a grave; it was a doorway. And someone had just left the light on. She turned and headed back toward the hole in the ground, her jaw set, her hand resting on the grip of her service weapon. She didn't believe in ghosts, but she believed in shadows, and she was going to hunt them until they gave her back the partner they’d stolen.
created_at"2026-02-25T01:08:07.821Z" 2/25/2026, 1:08:07 AM
model"google/gemini-3-flash-preview-20251217"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1554
moderation_latency(null)
generation_time24436
tokens_prompt923
tokens_completion2855
native_tokens_prompt883
native_tokens_completion3204
native_tokens_completion_images0
native_tokens_reasoning1039
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"
usage0.0100535
router(null)
provider_responses
0
endpoint_id"6e82f652-2693-4b60-bbe0-7362d6e345f0"
is_byokfalse
latency1554
model_permaslug"google/gemini-3-flash-preview-20251217"
provider_name"Google AI Studio"
status200
api_type"completions"
id"gen-1771981687-R9A0CdhP21CYG0MtI61O"
upstream_id(null)
total_cost0.0100535
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags15
adverbTagCount0
adverbTags(empty)
dialogueSentences34
tagDensity0.441
leniency0.882
rawRatio0
effectiveRatio0
96.90% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1615
totalAiIsmAdverbs1
found
0
adverb"perfectly"
count1
highlights
0"perfectly"
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)
34.98% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1615
totalAiIsms21
found
0
word"echoed"
count1
1
word"gloom"
count1
2
word"navigated"
count1
3
word"rhythmic"
count1
4
word"mosaic"
count1
5
word"silk"
count2
6
word"scanning"
count1
7
word"intensity"
count1
8
word"predator"
count1
9
word"processed"
count1
10
word"flickered"
count1
11
word"weight"
count1
12
word"etched"
count1
13
word"whisper"
count1
14
word"navigate"
count1
15
word"facade"
count1
16
word"profound"
count1
17
word"chill"
count1
18
word"standard"
count1
19
word"grave"
count1
highlights
0"echoed"
1"gloom"
2"navigated"
3"rhythmic"
4"mosaic"
5"silk"
6"scanning"
7"intensity"
8"predator"
9"processed"
10"flickered"
11"weight"
12"etched"
13"whisper"
14"navigate"
15"facade"
16"profound"
17"chill"
18"standard"
19"grave"
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
narrationSentences95
matches
0"felt a chill"
82.71% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount2
narrationSentences95
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)
analyzedSentences114
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen54
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1604
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions72
wordCount1192
uniqueNames25
maxNameDensity2.18
worstName"Harlow"
maxWindowNameDensity4.5
worstWindowName"Harlow"
discoveredNames
Camden4
Harlow26
Quinn2
South1
Kentish1
Town1
North1
London3
Tube1
Miller8
Tie1
Northern1
Line1
Victorian1
Vane2
Morris2
Thames1
Kowalski1
Crown1
Jewels1
Eva8
Veil1
Compass1
High1
Street1
persons
0"Harlow"
1"Quinn"
2"Miller"
3"Line"
4"Vane"
5"Morris"
6"Kowalski"
7"Eva"
places
0"Camden"
1"South"
2"Kentish"
3"Town"
4"North"
5"London"
6"Thames"
7"High"
8"Street"
globalScore0.409
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences74
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1604
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences114
matches
0"moved that night"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs43
mean37.3
std23.45
cv0.629
sampleLengths
087
146
210
344
430
558
650
756
835
953
107
118
1244
138
1461
1575
168
1758
1865
1941
2010
2112
2210
2379
2432
259
2640
2731
284
2913
3012
3171
3247
3353
342
3565
3651
3741
3834
3936
404
4154
4250
90.49% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences95
matches
0"been twisted"
1"was illuminated"
2"was dressed"
3"was locked"
4"were fixed"
32.50% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs199
matches
0"were falling"
1"was tugging"
2"was looking"
3"was stuttering"
4"were failing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount11
semicolonCount5
flaggedSentences13
totalSentences114
ratio0.114
matches
0"It was the smell that bothered her—a sharp, metallic tang that shouldn't have been there, rising from the throat of an alleyway leading toward the boarded-up entrance of the old South Kentish Town station."
1"Harlow navigated the debris of the alley—shards of green glass, crumpled energy drink cans, the urban detritus of North London."
2"The padlock hadn't been picked or cut; it had been twisted until the steel snapped like a dry twig."
3"Vane’s expression wasn't one of narcotic bliss; his mouth was locked in a silent, jagged O, and his eyes—wide and clouded—were fixed on the ceiling."
4"Something was tugging at the back of her mind—a ghost of a memory from three years ago."
5"Inside that clean circle, something caught the overhead light—a faint, greenish glimmer."
6"On one side was a debossed image of a gate; on the other, a series of symbols that made her head ache if she stared too long."
7"Harlow pocketed the token—a breach of protocol she’d justify later—and headed back up the stairs."
8"As Harlow approached, Eva tucked a stray lock of hair behind her left ear—a nervous flick of the wrist Harlow had seen her do a dozen times in the museum’s reading room."
9"Harlow caught a glimpse of brass and a hint of green patina—verdigris."
10"They didn't point north; they pointed toward things that shouldn't exist."
11"Miller and the others saw a crime scene—a tragedy of the urban underbelly."
12"The station wasn't just a grave; it was a doorway."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1213
adjectiveStacks0
stackExamples(empty)
adverbCount27
adverbRatio0.02225886232481451
lyAdverbCount10
lyAdverbRatio0.008244023083264633
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences114
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences114
mean14.07
std9.51
cv0.676
sampleLengths
027
121
25
334
46
52
625
713
810
920
1011
1113
1215
1315
1426
1519
1613
174
1831
1915
2019
2121
2216
2310
2425
2518
265
275
2825
297
308
315
3210
337
3413
359
364
374
384
3915
4042
4110
4217
4317
4412
453
4616
478
483
496
55.26% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.3684210526315789
totalSentences114
uniqueOpeners42
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences88
matches(empty)
ratio0
70.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences88
matches
0"She didn't mind the damp."
1"It was the smell that"
2"She paused to check her"
3"She adjusted it, her sharp"
4"He looked tired, his Tie"
5"She ran a hand through"
6"They descended a spiral staircase"
7"He was dressed in expensive"
8"She didn't touch him yet."
9"She looked at his face."
10"She reached out, gingerly tilting"
11"It was a perfectly circular"
12"She sat back on her"
13"She stood up and paced"
14"She’d seen the way the"
15"She was looking at the"
16"It looked as though someone"
17"She reached into her pocket,"
18"She knelt and picked up"
19"It was a bone token,"
ratio0.375
16.82% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount78
totalSentences88
matches
0"The rain over Camden didn't"
1"Detective Harlow Quinn stepped out"
2"She didn't mind the damp."
3"It was the smell that"
4"She paused to check her"
5"The leather strap was butter-soft"
6"She adjusted it, her sharp"
7"a voice echoed from the"
8"Harlow navigated the debris of"
9"He looked tired, his Tie"
10"Harlow said, her voice a"
11"She ran a hand through"
12"Miller gestured toward the rusted"
13"The padlock hadn't been picked"
14"Harlow followed him down."
15"The air grew colder with"
16"They descended a spiral staircase"
17"The scene was illuminated by"
18"He was dressed in expensive"
19"Miller said, reading from a"
ratio0.886
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences88
matches(empty)
ratio0
80.20% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences57
technicalSentenceCount5
matches
0"The rain over Camden didn't fall so much as it drifted, a fine, grey mist that turned the soot of the brickwork into a slick, black patina."
1"It was the smell that bothered her—a sharp, metallic tang that shouldn't have been there, rising from the throat of an alleyway leading toward the boarded-up en…"
2"The scene was illuminated by portable halogen lamps that threw long, jagged shadows against the curves of the tunnel."
3"Eva Kowalski looked exactly as she had in the surveillance photos Harlow had been collecting for months: curly red hair escaping a messy bun, round glasses fogg…"
4"She used her height, leaning in just enough to be intimidating."
25.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags15
uselessAdditionCount3
matches
0"Harlow said, her voice a low, gravelly alto"
1"Eva said, her voice small but steady"
2"Harlow said, her voice dropping to a dangerous whisper"
61.76% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags12
fancyCount3
fancyTags
0"Harlow whispered (whisper)"
1"Harlow corrected (correct)"
2"Harlow muttered (mutter)"
dialogueSentences34
tagDensity0.353
leniency0.706
rawRatio0.25
effectiveRatio0.176
72.1098%