Run: 2026-07-25-01KYCX5PANKGSH21YMC8B2KVMY

Run Details

Duration:
6.4s
Cost:
$0.003279
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
Copper cables hung from the arched ceiling of the abandoned Camden Underground station like frozen vines. Condensation dripped onto the soot-stained ballast stones, the rhythmic *ping-clock* falling against iron rails. Detective Harlow Quinn stepped past the red police cordon, ducking beneath a rusted steel beam. Her worn leather watch ticked against her left wrist, the second hand sweeping with military precision. Salt-and-pepper hair caught the harsh glare of a portable floodlight. A junior officer scrambled backward out of the shadows, clutching a plastic evidence bag. "Watch your boots, Detective. The floor's slick with oil and stagnant water." Quinn ignored the warning, her sharp jaw tightening as she surveyed the platform. No graffiti marred the tiled walls. No homeless encampments littered the alcoves. The Metropolitan Police had sealed the perimeter two hours prior, yet the damp air carried an ozone tang. "What do we have, Miller?" Quinn knelt beside a shattered brass compass resting near the platform edge. Miller wiped sweat from his forehead, pointing a flashlight toward the tracks. "Suicide. Jumped in front of the midnight maintenance freight. Driver didn't even feel the impact until the brakes locked." Quinn lifted the small brass casing using a gloved finger. A patina of verdigris coated the hinge, and the face bore intricate protective sigils etched into the metal. The needle spun wildly, vibrating against the glass without settling toward magnetic north. "Trains haven't run through this junction since nineteen-ninety-four," Quinn stood, turning her brown eyes toward the tracks. "Maintenance freight doesn't exist." Miller chuckled, shifting his weight between his boots. "Ghost train run. Locals talk about phantom carriages rattling down the old Northern Line after midnight. Coroner's van is already at the street level entrance. We wrap this up quickly before the brass asks questions." Quinn traced a thumb over the sigils on the compass face. "The ballast isn't disturbed." Miller frowned, stepping closer. "Beg pardon?" "Look at the gravel beneath the platform edge," Quinn gestured toward the grey stones. "A body falling from the platform hits seventy pounds of ballast. The stones shift. They scatter. These stones remain locked in place. Not a single pebble rolled." Miller crossed his arms, his breath pluming in the chill air. "Body bounced. Kinetic energy dispersed. The physics check out if you factor in the speed of the engine." "Engine grease covers the rails." Quinn pointed her flashlight beam straight down. "Notice the absence of drag marks. No blood smear along the steel. A man hit by a locomotive leaves a trail, Miller. Here, we possess a corpse sitting neatly between the sleepers without a single smudge on its coat." "Standard freak accident." Miller squared his shoulders. "Victim fell between the rails, wheels straddled the trench, missed the torso entirely. Shock killed him. Heart failure from the fright." Quinn strode past her colleague toward the tunnel entrance where the darkness swallowed the tracks. Her boots crunched on dry dust, completely devoid of moisture. Ten feet inside the brick bore, the damp chill vanished, replaced by a dry, furnace-like heat. "Step in here," Quinn called out, her voice echoing off the curved brickwork. Miller hesitated, then shuffled forward, his boots squelching until he crossed an invisible threshold. He stopped, blinking against the sudden warmth. "The humidity dropped ten degrees in three paces," Quinn whispered, running a bare hand along the damp-free mortar. "Condensation stops instantly. That violates every law of thermodynamics for a subterranean tunnel." "Draft from a ventilation shaft," Miller offered, though his voice lacked conviction. "Ventilation shafts rusted shut during the Thatcher administration." Quinn pulled a small metal ruler from her coat pocket, measuring the distance between the rail and the tunnel wall. "The victim didn't jump. The victim materialised right here. The transition blew the dust outward in a perfect circle." Miller knelt by the edge of the dry patch, running a gloved hand over the pristine brickwork. "No signs of forced entry at the surface gates. Heavy chains remain locked with police-grade padlocks. Nobody walked down here." "Because they bypassed the stairs entirely." Quinn slipped the brass compass into her deep coat pocket. "Someone brought a corpse through a spatial rift and dumped it on the tracks to stage a mundane fatality." "A rift?" Miller stood up quickly, shaking his head. "Detective, we have paperwork to finish. The superintendent expects a standard misadventure report by dawn." "The superintendent gets the truth." Quinn stared into the pitch-black tunnel where the rails vanished into nothingness. "Look at the pattern on the wall, Miller. Burn marks. Circular scorches consistent with high-energy portal generation. Someone used this station as a drop-point for contraband from the Veil Market." "You're chasing ghosts, Harlow. Morris did the exact same thing before the Camden yard case three years ago." Miller’s tone hardened, stepping back toward the lit platform. "Look where that ended." Quinn didn't flinch. Her gaze remained locked on the scorch marks. "Morris found the truth. That's why the case was buried." "Nobody buried anything. It was an accident in the dark." Miller gestured toward the exit stairs. "Are you coming or do I file this alone?" Quinn reached out, snapping a tiny fragment of scorched brick from the wall and dropping it into an evidence envelope. "Go file, Miller. I'm checking the schedule for the next full moon."
created_at"2026-07-25T15:09:20.093Z" 7/25/2026, 3:09:20 PM
model"google/gemini-3.5-flash-lite-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency293
moderation_latency(null)
generation_time6304
tokens_prompt1112
tokens_completion1434
native_tokens_prompt1073
native_tokens_completion1183
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"default"
usage0.0032794
router(null)
provider_responses
0
endpoint_id"6bd8f433-79e1-416c-b407-1772eb796c9a"
id"oNFkavadCrr3jrEPgIfOwQk"
is_byokfalse
latency293
model_permaslug"google/gemini-3.5-flash-lite-20260721"
provider_name"Google AI Studio"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1784992160-Yk88qzZpIhcrl3x0aURe"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784992160-IwS8Du4PU0zal28VqyIl"
upstream_id"oNFkavadCrr3jrEPgIfOwQk"
total_cost0.0032794
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags14
adverbTagCount0
adverbTags(empty)
dialogueSentences34
tagDensity0.412
leniency0.824
rawRatio0
effectiveRatio0
82.95% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount880
totalAiIsmAdverbs3
found
0
adverb"quickly"
count2
1
adverb"completely"
count1
highlights
0"quickly"
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)
14.77% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount880
totalAiIsms15
found
0
word"rhythmic"
count1
1
word"shattered"
count1
2
word"intricate"
count1
3
word"etched"
count1
4
word"magnetic"
count1
5
word"weight"
count1
6
word"traced"
count1
7
word"chill"
count2
8
word"standard"
count2
9
word"echoing"
count1
10
word"warmth"
count1
11
word"perfect"
count1
12
word"pristine"
count1
highlights
0"rhythmic"
1"shattered"
2"intricate"
3"etched"
4"magnetic"
5"weight"
6"traced"
7"chill"
8"standard"
9"echoing"
10"warmth"
11"perfect"
12"pristine"
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
narrationSentences41
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences41
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences61
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen39
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords880
ratio0.001
matches
0"ping-clock"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions32
wordCount454
uniqueNames7
maxNameDensity3.52
worstName"Quinn"
maxWindowNameDensity4.5
worstWindowName"Quinn"
discoveredNames
Camden1
Underground1
Harlow1
Quinn16
Metropolitan1
Police1
Miller11
persons
0"Harlow"
1"Quinn"
2"Police"
3"Miller"
places(empty)
globalScore0
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences38
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount880
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences61
matches(empty)
92.02% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs29
mean30.34
std14.32
cv0.472
sampleLengths
071
114
212
343
417
531
641
721
843
915
106
1141
1229
1351
1428
1541
1613
1721
1831
1912
2047
2137
2235
2324
2447
2531
2621
2725
2832
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences41
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs86
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences61
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount459
adjectiveStacks0
stackExamples(empty)
adverbCount6
adverbRatio0.013071895424836602
lyAdverbCount3
lyAdverbRatio0.006535947712418301
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences61
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences61
mean14.43
std7.34
cv0.509
sampleLengths
016
114
215
316
410
514
612
713
86
96
1018
1117
1212
1319
1410
1518
1613
1717
184
198
2035
2111
224
234
242
2514
2627
2711
2818
2912
3039
317
3221
3315
3410
3516
3613
3714
387
3918
4013
4112
4228
4319
4417
4520
4616
4719
489
4915
93.99% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.5737704918032787
totalSentences61
uniqueOpeners35
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences41
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount4
totalSentences41
matches
0"Her worn leather watch ticked"
1"Her boots crunched on dry"
2"He stopped, blinking against the"
3"Her gaze remained locked on"
ratio0.098
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount38
totalSentences41
matches
0"Copper cables hung from the"
1"Condensation dripped onto the soot-stained"
2"Detective Harlow Quinn stepped past"
3"Her worn leather watch ticked"
4"Salt-and-pepper hair caught the harsh"
5"A junior officer scrambled backward"
6"Quinn ignored the warning, her"
7"The Metropolitan Police had sealed"
8"Quinn knelt beside a shattered"
9"Miller wiped sweat from his"
10"Quinn lifted the small brass"
11"A patina of verdigris coated"
12"The needle spun wildly, vibrating"
13"Quinn stood, turning her brown"
14"Miller chuckled, shifting his weight"
15"Quinn traced a thumb over"
16"Miller frowned, stepping closer."
17"Quinn gestured toward the grey"
18"Miller crossed his arms, his"
19"Quinn pointed her flashlight beam"
ratio0.927
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences41
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences20
technicalSentenceCount0
matches(empty)
53.57% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount2
matches
0"Quinn called out, her voice echoing off the curved brickwork"
1"Miller offered, though his voice lacked conviction"
91.18% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount2
fancyTags
0"Quinn called out (call out)"
1"Quinn whispered (whisper)"
dialogueSentences34
tagDensity0.059
leniency0.118
rawRatio1
effectiveRatio0.118
80.9494%