Run: 2026-05-10-01KR92VZMCQBH5Y9EPJY434SA7

Run Details

Duration:
7.5s
Cost:
$0.002632
Provider:
Google AI Studio

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 in the subterranean station tasted of ozone and ancient, pulverized brick. Harlow Quinn’s boots clicked against the derelict platform, the sound swallowed by the oppressive dark of the tunnel. Her flashlight beam cut through the gloom, slicing across the grit-covered tracks. Rats chattered in the distance, their frantic movements punctuating the stagnant silence. Standing beneath the rusted skeletal remnants of a departure board, the body lay in a heap. It was no ordinary precinct call. The victim draped across the third rail wore velvet robes that shimmered with an iridescent, oily sheen—garments that held no place in London’s damp, modern sprawl. Eva Kowalski hovered near the tunnel’s edge, her hands shoved deep into her coat pockets. She adjusted her round glasses, the lenses reflecting the harsh white LED of the detective’s torch. A satchel weighed down her right shoulder, its leather strap digging deep into her winter coat. The internal hemorrhaging looks like a standard blunt force trauma, but the color of those bruises is all wrong, isn't it? Harlow knelt, the leather of her watch band creaking as she reached out to hook a pen into the victim’s sleeve, lifting the fabric. The skin beneath possessed a translucent, sickly quality, like wax left too long in the heat. She poked at the arm. There was no resistance, only a strange, airy hollow. Look at the wrist, Eva. No watch, no tan line, nothing to suggest a life spent in the sun. This man wasn't just murdered. He was bled of his very anchor. Eva stepped closer, her curly red hair catching the sickly glow of a flickering emergency light. She peered down, her breath hitching rhythmically. She tucked a lock of hair behind her left ear, a jagged, nervous motion. It’s a containment failure. See how the energy patterns on his robes haven't dissipated yet? They’re still cycling. This wasn't a fight. It was a harvest. You’re looking for a killer with a physical weapon, but you should be looking for a bypass. Someone opened the threshold while he was still occupying this space. Harlow stood, her knees popping. She straightened her coat, the military precision in her stance a stark contrast to the chaotic surroundings. She swept her light across the tunnel ceiling, following the trail of fine, soot-like dust that coated the trackside equipment. It didn't settle like soot. It drifted toward the center of the platform, congregating in a perfect, unnatural circle. The report claimed he fell from the platform during a scuffle, yet there isn't a single scuff mark on the concrete leading to the edge. Not a heel drag. Not a slide. He didn't fall. He arrived here already broken. Eva wandered toward the dust circle, her boots crunching over pebbles. She drew a small brass disc from her satchel—the Veil Compass. Its needle spun with a frantic, stuttering motion, refusing to settle on any cardinal direction. He didn't arrive here, Harlow. He was forced through the partition. Someone used a heavy-duty rift anchor. The market is nearby, but the signatures are being scrubbed. It’s like someone is bleaching the crime scene of its magical residue. Harlow walked to the edge of the platform and peered into the black abyss of the tunnel. A sense of vertigo hit her, a memory of the day the light went out of the world and took DS Morris with it. She forced her jaw to relax. She counted the seconds between the drip of groundwater from the ceiling. If this were a standard homicide, the forensics team would have picked up the struggle by now. Instead, they’re upstairs complaining about equipment malfunctions and shadows moving on the periphery of their vision. They think they’re losing their minds. Eva clicked the compass shut, the sound sharp as a gunshot in the cavernous space. They aren't losing their minds. They’re witnessing the decay of the local veil. If you don't find the source of this breach, the gap will widen until it starts pulling in things that aren't human. Look at the railway signage. Harlow shifted her light. The old, handwritten station warnings—*Mind the Gap*, *No Trespassing*—were warped. The paint had blistered into strange, geometric shapes that mirrored the ones on the victim’s robes. They’re rewriting the environment to suit the crime. Whoever did this wants to ensure that the investigation remains localized to this platform, buried under the bureaucracy of the Met. They don't want the supernatural elements logged, because once they’re logged, people like you start connecting the dots to the larger market structure. Harlow stood perfectly still, closing her eyes for a fleeting moment to calibrate her other senses. A low hum resonated against the soles of her boots. It felt like the vibration of a subway train, but it lacked the rhythmic mechanical cadence of a motor. It was organic, pulsing like a drum. Something is moving behind that maintenance door. Not just air. Pressure. She drew her sidearm, the weight cold and familiar. She moved with practiced ease, sliding along the wall where the shadow was deepest. She didn't look at Eva, whose eyes were wide behind her lenses. Stay back. If the Veil Market is shifting toward this coordinates, the station house isn't just a scene anymore. It’s the entry point. She reached the iron door, its hinges rusted into a frozen snarl. With a grunt, she applied her shoulder to the metal, leveraging her weight. It protested with a high-pitched scream of shearing iron, then swung inward. The space beyond wasn't an electrical closet. It was a corridor that defied the architectural logic of a Tube station, stretching into a hallway that appeared to be constructed of woven, fossilized bone. Footprints marked the dust—fresh, deep, and heavy. They didn't lead toward the tunnel exit. They led downward, toward a staircase that looked as if it had been carved from the very guts of the earth. Harlow signaled Eva to hold her position, but the younger woman was already at her shoulder, her satchel clutched tight. The compass isn't pointing toward the rift anymore. It’s pointing toward the staircase. Harlow, this isn't a murder. It’s a delivery. Harlow ducked under the low lintel, her salt-and-pepper hair brushing against a hanging coil of what looked like dried roots. She felt the heavy, suffocating scent of sulfur and old paper. The walls pulsed with a faint, bioluminescent vein of violet light. I don't care if it's a delivery or a disaster. The victim was a taxpayer, residing in my jurisdiction. Whoever is operating this space is going to answer for why their trash ended up on my platform. She stepped down onto the first stair, the stone soft and slightly yielding under her boot. The air grew thinner, colder. You’re assuming the entity behind this cares about your jurisdiction, which is a dangerous miscalculation. Harlow tapped the face of her worn leather watch. The glass was cracked, but the ticking remained steady, a reminder of the time she had lost and the secrets she had yet to unearth. She descended further, the darkness reaching up to meet her, hungry and absolute. Then move aside, Eva. Let me show you how a detective handles things that don't exist.
created_at"2026-05-10T13:57:44.723Z" 5/10/2026, 1:57:44 PM
model"google/gemini-3.1-flash-lite-20260507"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency528
moderation_latency(null)
generation_time7420
tokens_prompt1149
tokens_completion1867
native_tokens_prompt1073
native_tokens_completion1576
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"STOP"
service_tier"standard"
usage0.00263225
router(null)
provider_responses
0
endpoint_id"237af107-d2e9-46c7-b146-c74d75980dee"
id"2I4AapqdOJyFz7IP9uyZoQc"
is_byokfalse
latency528
model_permaslug"google/gemini-3.1-flash-lite-20260507"
provider_name"Google AI Studio"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778421464-LiTNKJsVnYFdGHQ3K6Dk"
session_id(null)
api_type"completions"
id"gen-1778421464-jQ3q1MplA89UPynAKJSh"
upstream_id"2I4AapqdOJyFz7IP9uyZoQc"
total_cost0.00263225
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
83.43% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1207
totalAiIsmAdverbs4
found
0
adverb"very"
count2
1
adverb"perfectly"
count1
2
adverb"slightly"
count1
highlights
0"very"
1"perfectly"
2"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)
0.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1207
totalAiIsms25
found
0
word"oppressive"
count1
1
word"gloom"
count1
2
word"silence"
count1
3
word"velvet"
count1
4
word"shimmered"
count1
5
word"standard"
count2
6
word"stark"
count1
7
word"chaotic"
count1
8
word"perfect"
count1
9
word"sense of"
count1
10
word"ensure"
count1
11
word"structure"
count1
12
word"fleeting"
count1
13
word"resonated"
count1
14
word"rhythmic"
count1
15
word"mechanical"
count1
16
word"weight"
count2
17
word"familiar"
count1
18
word"practiced ease"
count1
19
word"leveraging"
count1
20
word"constructed"
count1
21
word"pulsed"
count1
22
word"reminder"
count1
highlights
0"oppressive"
1"gloom"
2"silence"
3"velvet"
4"shimmered"
5"standard"
6"stark"
7"chaotic"
8"perfect"
9"sense of"
10"ensure"
11"structure"
12"fleeting"
13"resonated"
14"rhythmic"
15"mechanical"
16"weight"
17"familiar"
18"practiced ease"
19"leveraging"
20"constructed"
21"pulsed"
22"reminder"
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
narrationSentences105
matches(empty)
88.44% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount1
narrationSentences105
filterMatches
0"watch"
1"think"
hedgeMatches
0"appeared to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences105
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen27
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords5
totalWords1204
ratio0.004
matches
0"Mind the Gap"
1"No Trespassing"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions29
wordCount1204
uniqueNames11
maxNameDensity0.91
worstName"Harlow"
maxWindowNameDensity2
worstWindowName"Harlow"
discoveredNames
Quinn1
London1
Kowalski1
Eva8
Veil2
Compass1
Harlow11
Morris1
Met1
Market1
Tube1
persons
0"Quinn"
1"Kowalski"
2"Eva"
3"Compass"
4"Harlow"
5"Morris"
places
0"London"
globalScore1
windowScore1
86.71% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences79
glossingSentenceCount2
matches
0"felt like the vibration of a subway tra"
1"looked like dried roots"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1204
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences105
matches
0"ensure that the"
71.77% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs32
mean37.63
std15.1
cv0.401
sampleLengths
055
148
247
321
454
531
637
754
861
940
1037
1139
1259
1339
1415
1540
1630
1752
1852
1911
2035
2123
2270
2335
2420
2521
2642
2737
2821
2915
3047
3116
88.55% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences105
matches
0"was bled"
1"was forced"
2"being scrubbed"
3"logged"
4"been carved"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs205
matches
0"was still occupying"
34.01% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences4
totalSentences105
ratio0.038
matches
0"The victim draped across the third rail wore velvet robes that shimmered with an iridescent, oily sheen—garments that held no place in London’s damp, modern sprawl."
1"She drew a small brass disc from her satchel—the Veil Compass."
2"The old, handwritten station warnings—*Mind the Gap*, *No Trespassing*—were warped."
3"Footprints marked the dust—fresh, deep, and heavy."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1212
adjectiveStacks0
stackExamples(empty)
adverbCount32
adverbRatio0.026402640264026403
lyAdverbCount8
lyAdverbRatio0.006600660066006601
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences105
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences105
mean11.47
std6.33
cv0.552
sampleLengths
013
118
212
312
416
56
626
715
816
916
1021
1124
1216
135
149
155
1614
175
187
1916
207
2114
224
2311
243
254
264
2717
2811
295
3017
3120
325
3314
3425
354
363
373
385
3911
4011
4115
425
436
446
4510
4612
4717
4824
496
37.62% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.29523809523809524
totalSentences105
uniqueOpeners31
64.72% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences103
matches
0"Instead, they’re upstairs complaining about"
1"Then move aside, Eva."
ratio0.019
37.48% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount47
totalSentences103
matches
0"Her flashlight beam cut through"
1"It was no ordinary precinct"
2"She adjusted her round glasses,"
3"She poked at the arm."
4"He was bled of his"
5"She peered down, her breath"
6"She tucked a lock of"
7"It’s a containment failure."
8"They’re still cycling."
9"It was a harvest."
10"You’re looking for a killer"
11"She straightened her coat, the"
12"She swept her light across"
13"It didn't settle like soot."
14"It drifted toward the center"
15"He didn't fall."
16"He arrived here already broken."
17"She drew a small brass"
18"Its needle spun with a"
19"He didn't arrive here, Harlow."
ratio0.456
47.38% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount85
totalSentences103
matches
0"The air in the subterranean"
1"Harlow Quinn’s boots clicked against"
2"Her flashlight beam cut through"
3"Rats chattered in the distance,"
4"It was no ordinary precinct"
5"The victim draped across the"
6"Eva Kowalski hovered near the"
7"She adjusted her round glasses,"
8"A satchel weighed down her"
9"The internal hemorrhaging looks like"
10"Harlow knelt, the leather of"
11"The skin beneath possessed a"
12"She poked at the arm."
13"This man wasn't just murdered."
14"He was bled of his"
15"Eva stepped closer, her curly"
16"She peered down, her breath"
17"She tucked a lock of"
18"It’s a containment failure."
19"They’re still cycling."
ratio0.825
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount5
totalSentences103
matches
0"If this were a standard"
1"If you don't find the"
2"Whoever did this wants to"
3"If the Veil Market is"
4"Whoever is operating this space"
ratio0.049
71.43% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences60
technicalSentenceCount6
matches
0"The victim draped across the third rail wore velvet robes that shimmered with an iridescent, oily sheen—garments that held no place in London’s damp, modern spr…"
1"Harlow knelt, the leather of her watch band creaking as she reached out to hook a pen into the victim’s sleeve, lifting the fabric."
2"She swept her light across the tunnel ceiling, following the trail of fine, soot-like dust that coated the trackside equipment."
3"The paint had blistered into strange, geometric shapes that mirrored the ones on the victim’s robes."
4"It was a corridor that defied the architectural logic of a Tube station, stretching into a hallway that appeared to be constructed of woven, fossilized bone."
5"You’re assuming the entity behind this cares about your jurisdiction, which is a dangerous miscalculation."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
83.7180%