Run: 2026-05-10-01KR91Z3QV9BPTEG4FJ7DR8WX4

Run Details

Duration:
9.2s
Cost:
$0.002701
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 humidity of the abandoned Camden tube station clung to the concrete walls like a second skin. Condensation dripped from rusted iron girders, splashing into the stagnant pools of oil and runoff between the tracks. Detective Harlow Quinn stepped over the rotted remains of a third rail cover, her heavy boots crunching against broken ceramic tiles. The beam of her tactical light cut through the gloom, illuminating thick cobwebs that sagged under the weight of grime. This was the Veil Market in its dormant state, yet the air tasted of burnt ozone and copper—the distinct metallic tang of a recent rift. In the center of the derelict platform, a body lay sprawled across a pile of shattered vintage travel posters. The victim, a man in a charcoal suit, occupied an impossible angle. His left arm twisted behind his back, fingers clawing into the ballast, while his legs faced the opposite direction. Harlow knelt, the leather of her watch strap biting into her wrist as she braced herself. She didn't look at the face immediately. She looked at the shoes—high-end oxfords, polished to a mirror shine that defied the filth of the station. Look at the lack of dust, Detective. He didn't walk here. He arrived in a heartbeat. The voice belonged to Sergeant Miller, a man whose round face currently mirrored the utter confusion of the forensics team hovering near the tunnel mouth. Miller leaned against a support pillar, hands shoved deep into his pockets. He stared at the ceiling, refusing to acknowledge the corpse. Explain that to the coroner, Miller. People don't materialize in decommissioned transit hubs. The soot on his jacket hasn't settled yet. See the shoulders? Zero debris. He came through a tear, not the stairwell. Harlow didn't respond. She finally tilted her light upward. The man’s eyes were wide, fixed on a point three inches above his head. No struggle. No defensive wounds on the hands. But the pocket of his jacket gaped open, exposing the jagged edge of a leather satchel strap that hung uselessly by a broken buckle. She stood, her sharp jaw setting in a line of grim focus. She scanned the perimeter of the platform. A faint, greenish glow flickered near a pile of discarded industrial cables. She moved toward it, her military bearing keeping her steady on the slick ground. Beneath a rusted grate, she spotted it—the worn brass casing of a compass, its patina thick with verdigris and etched with sigils that made her vision swim if she stared too long. She reached down, her gloved fingers trembling slightly as she retrieved the object. The needle spun erratically, then locked into place, pointing directly at the corpse. He wasn't a victim of a mugging. He was a courier. And he was hunting for something that wasn't supposed to exist in this postcode. Miller scoffed, shifting his weight. You’re tilting toward the occult again, Harlow. It’s a dead financier with a penchant for urban exploration. He probably fell from the service duct above. Ducts aren't eight feet wide. And the air pressure down here is shifting. Listen. She pressed the compass into her palm and held her breath. The silence of the station was heavy, pressed down by the weight of the city above, but underneath it lay a rhythmic pulse—the sound of a lung expanding. Miller frowned, finally pushing away from the pillar. You’re hearing the ventilation system, nothing more. The ventilation has been sealed since the nineties. That is a heartbeat. She turned back to the body and pulled a small magnifying glass from her inner coat pocket. She ran the lens over the victim’s neck. A singular, puncture-like mark marred the skin—not a bite, not a bullet wound. It looked like a cauterized ink blot, surrounded by necrotic grey flesh. She knelt again, this time reaching for the victim’s right hand. It was clenched into a fist. She pried the fingers open with slow, calculated precision. A small, splintered piece of bone, hand-carved into a rough disk, tumbled onto the concrete. The surface bore symbols that matched the ones on the compass. A token. He bought his way into a room that didn't want him. Miller knelt beside her, his breath hitching as he saw the bone disk. He reached out to touch it, but Harlow blocked his hand with the back of her wrist. Don't. The static electricity alone is enough to fry your watch, let alone your nerves. I’ve seen things like this in the closed files, Harlow. The ones from the Morris case. She didn't look at him. She couldn't afford the luxury of grief, not when the air around the body began to ripple like heat off an asphalt road in July. The corpse’s fingers twitched, a sudden, sharp spasm that made the bone token skate across the tiles. He didn't die alone. He was being hunted by something that stays in the gaps between seconds. Miller backed away, his face turning an ashen grey. The forensics team had stopped talking. The entire station grew impossibly cold, the condensation on the walls freezing into jagged rime. Look at the floor, Miller. She pointed her flashlight at the dusty ground surrounding the body. There were no footprints leading away from the corpse, but there were distinct, scorched indentations that formed a perfect circle around where he fell. Seven identical marks. He was trapped. They didn't just kill him; they ritualized the exit point. Harlow stood, sliding the bone token into an evidence bag with practiced efficiency. She tucked the compass into her own satchel. We aren't handling this as a homicide. We’re handing it over to the specialist archives. But the forensics protocol requires— The protocol assumes a human perpetrator, Miller. This man was processed by something that doesn't leave fingerprints. She walked toward the stairwell, her steps echoing with military precision against the silent platform. She stopped at the bottom step, looking back one final time. The body, previously still, now lay in a completely different position, slumped against the pillar where Miller had stood minutes before. The suit jacket was shredded, as if a large blade had sheared through the heavy wool. Leave it. We don't have the gear for what comes next. Miller scrambled to follow her, his boots sliding on the slick concrete. As they ascended, the temperature plummeted further, and the faint, rhythmic thumping of the unseen heart grew into a deafening, bass-heavy vibration that shook dust from the ceiling. Harlow reached the top of the stairs, her fingers brushing against the iron door handle. She didn't look back when the light behind them extinguished, turning the platform into a void. She climbed into the humid night air of Camden, the city lights feeling like an illusion compared to the dark, shifting geometry of the station below. She checked her watch. The hands had stopped moving. The date window displayed a series of runes instead of numbers. File the report as an industrial accident. Claim the equipment malfunctioned and the scene was compromised by toxic gas. Miller stared at her, his eyes wide behind his glasses. You’re deleting the narrative. I’m keeping us alive long enough to figure out why a research assistant like Eva Kowalski is looking for this exact pattern in the museum archives. She adjusted her coat, the compass heavy and warm against her side through the fabric of her bag. Whatever took that man, it’s still down there, hungry for the next one to find the token.
created_at"2026-05-10T13:41:58.659Z" 5/10/2026, 1:41:58 PM
model"google/gemini-3.1-flash-lite-20260507"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency505
moderation_latency(null)
generation_time9117
tokens_prompt1149
tokens_completion1941
native_tokens_prompt1073
native_tokens_completion1622
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"
usage0.00270125
router(null)
provider_responses
0
endpoint_id"237af107-d2e9-46c7-b146-c74d75980dee"
id"JosAatW_NJSK6dkP2r-ZwQE"
is_byokfalse
latency505
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-1778420518-3PNZrbbQwa0EuRB5KgRf"
session_id(null)
api_type"completions"
id"gen-1778420518-BRt4SbQDfgnftsC0AP5t"
upstream_id"JosAatW_NJSK6dkP2r-ZwQE"
total_cost0.00270125
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
92.04% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1257
totalAiIsmAdverbs2
found
0
adverb"slightly"
count1
1
adverb"completely"
count1
highlights
0"slightly"
1"completely"
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)
36.36% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1257
totalAiIsms16
found
0
word"gloom"
count1
1
word"weight"
count3
2
word"shattered"
count1
3
word"scanned"
count1
4
word"flickered"
count1
5
word"etched"
count1
6
word"silence"
count1
7
word"rhythmic"
count2
8
word"pulse"
count1
9
word"calculated"
count1
10
word"perfect"
count1
11
word"processed"
count1
12
word"echoing"
count1
highlights
0"gloom"
1"weight"
2"shattered"
3"scanned"
4"flickered"
5"etched"
6"silence"
7"rhythmic"
8"pulse"
9"calculated"
10"perfect"
11"processed"
12"echoing"
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
narrationSentences111
matches(empty)
91.38% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount1
narrationSentences111
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences111
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1251
ratio0
matches(empty)
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
totalMentions35
wordCount1251
uniqueNames13
maxNameDensity0.96
worstName"Miller"
maxWindowNameDensity2
worstWindowName"Miller"
discoveredNames
Camden2
Harlow8
Quinn1
Veil1
Market1
Detective2
Sergeant1
Miller12
Morris1
July1
Eva1
Kowalski1
You3
persons
0"Harlow"
1"Quinn"
2"Sergeant"
3"Miller"
4"Morris"
5"Eva"
6"Kowalski"
places
0"July"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences88
glossingSentenceCount1
matches
0"looked like a cauterized ink blot, surrou"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1251
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences111
matches
0"took that man"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs43
mean29.09
std18.34
cv0.63
sampleLengths
076
125
250
341
416
547
613
721
855
977
1026
1125
1230
1314
1439
1515
1612
1750
1852
1913
2030
2115
2216
2347
2417
2530
265
2738
2813
2921
3015
315
3217
3363
3411
3540
3657
3720
3819
3914
4026
4118
4217
86.30% Passive voice overuse
Target: ≤2% passive sentences
passiveCount6
totalSentences111
matches
0"been sealed"
1"was clenched"
2"being hunted"
3"was processed"
4"was shredded"
5"was compromised"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs204
matches
0"was hunting"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount1
flaggedSentences7
totalSentences111
ratio0.063
matches
0"This was the Veil Market in its dormant state, yet the air tasted of burnt ozone and copper—the distinct metallic tang of a recent rift."
1"She looked at the shoes—high-end oxfords, polished to a mirror shine that defied the filth of the station."
2"Beneath a rusted grate, she spotted it—the worn brass casing of a compass, its patina thick with verdigris and etched with sigils that made her vision swim if she stared too long."
3"The silence of the station was heavy, pressed down by the weight of the city above, but underneath it lay a rhythmic pulse—the sound of a lung expanding."
4"A singular, puncture-like mark marred the skin—not a bite, not a bullet wound."
5"They didn't just kill him; they ritualized the exit point."
6"But the forensics protocol requires—"
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1259
adjectiveStacks1
stackExamples
0"against broken ceramic tiles."
adverbCount29
adverbRatio0.023034154090548053
lyAdverbCount13
lyAdverbRatio0.010325655281969817
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences111
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences111
mean11.27
std6.75
cv0.599
sampleLengths
017
118
221
320
425
519
612
719
816
97
1018
117
124
135
1425
1512
1610
176
187
198
203
212
228
233
246
2514
262
276
2824
2912
307
3112
3214
3332
3413
3513
367
374
3814
395
407
4110
428
435
448
451
4611
4728
488
497
40.54% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats15
diversityRatio0.32432432432432434
totalSentences111
uniqueOpeners36
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences105
matches(empty)
ratio0
40.95% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount47
totalSentences105
matches
0"His left arm twisted behind"
1"She didn't look at the"
2"She looked at the shoes—high—end"
3"He didn't walk here."
4"He arrived in a heartbeat."
5"He stared at the ceiling,"
6"He came through a tear,"
7"She finally tilted her light"
8"She stood, her sharp jaw"
9"She scanned the perimeter of"
10"She moved toward it, her"
11"She reached down, her gloved"
12"He wasn't a victim of"
13"He was a courier."
14"You’re tilting toward the occult"
15"It’s a dead financier with"
16"He probably fell from the"
17"She pressed the compass into"
18"You’re hearing the ventilation system,"
19"She turned back to the"
ratio0.448
36.19% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount89
totalSentences105
matches
0"The humidity of the abandoned"
1"Condensation dripped from rusted iron"
2"Detective Harlow Quinn stepped over"
3"The beam of her tactical"
4"This was the Veil Market"
5"The victim, a man in"
6"His left arm twisted behind"
7"Harlow knelt, the leather of"
8"She didn't look at the"
9"She looked at the shoes—high—end"
10"He didn't walk here."
11"He arrived in a heartbeat."
12"The voice belonged to Sergeant"
13"Miller leaned against a support"
14"He stared at the ceiling,"
15"People don't materialize in decommissioned"
16"The soot on his jacket"
17"He came through a tear,"
18"Harlow didn't respond."
19"She finally tilted her light"
ratio0.848
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences105
matches(empty)
ratio0
71.43% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences60
technicalSentenceCount6
matches
0"The beam of her tactical light cut through the gloom, illuminating thick cobwebs that sagged under the weight of grime."
1"But the pocket of his jacket gaped open, exposing the jagged edge of a leather satchel strap that hung uselessly by a broken buckle."
2"Beneath a rusted grate, she spotted it—the worn brass casing of a compass, its patina thick with verdigris and etched with sigils that made her vision swim if s…"
3"He bought his way into a room that didn't want him."
4"There were no footprints leading away from the corpse, but there were distinct, scorched indentations that formed a perfect circle around where he fell."
5"As they ascended, the temperature plummeted further, and the faint, rhythmic thumping of the unseen heart grew into a deafening, bass-heavy vibration that shook…"
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
79.6396%