Run: 2026-07-25-01KYCVK9QQ56FXNW00K6CF1NNH

Run Details

Duration:
5.3s
Cost:
$0.002546
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="4412" name="Aurora Carter" aliases="Rory, Laila, Aurora, Carter, Malphora" pronouns="she/her" species="Human" storyRole="Protagonist"> <eyeColor>bright blue</eyeColor> <hair>straight shoulder-length black</hair> <height>5'6"</height> <age>25</age> <scar>small crescent-shaped scar on her left wrist from a childhood accident</scar> <description>Aurora, referred to by her friends as Rory, is cool-headed, intelligent, and known for quick out-of-the-box thinking.</description> <backstory>Born in Cardiff to an Irish barrister father (Brendan Carter) and Welsh teacher mother (Jennifer Carter née Ellis), Rory reluctantly pursued Pre-Law at Cardiff University. She fled to London at the behest of her childhood friend Eva after leaving an abusive ex named Evan. By day, Rory works part-time as a delivery person for Yu-Fei Cheung's Golden Empress restaurant. She lives in a flat above Silas' bar.</backstory> </character> <location id="861" name="The Fae Grove" aliases="Isolde's grove, Richmond grove, the Grove" realm="Earth (Fae-touched)"> <parkLocation>Richmond Park</parkLocation> <standingStones>ancient oak standing stones mark the boundary</standingStones> <timeBehavior>time moves differently — an hour inside can be minutes or days outside</timeBehavior> <flora>wildflowers bloom year-round</flora> <description>A hidden clearing that exists in a pocket between Earth and the Fae realm.</description> </location> <item id="2001" name="Heartstone Pendant" aliases="the pendant, Heartstone" type="Artifact" origin="Dymas"> <gemstoneColor>deep crimson</gemstoneColor> <chainMaterial>silver chain</chainMaterial> <size>roughly the size of a thumbnail</size> <behavior>pulses faintly with warmth when near a Hel portal</behavior> <glow>faint inner glow</glow> <description>Given to Aurora by an unknown benefactor.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the horror genre. A character is alone in a strange, isolated place at night. They came here for a reason, but something feels off from the moment they arrive. The wrongness builds slowly — sounds that shouldn't be there, things that move at the edge of vision, a growing certainty that they are not alone. Build tension through restraint, not through gore. Use the codex entries above as your world reference for the character and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
The headlights cut out, plunging the scooter into ink. Richmond Park swallowed the engine noise. Aurora killed the ignition, the cooling metal clicking in the damp chill. Fog rolled across the asphalt in thick, dragging ribbons. Her breath plumed grey against the handlebars. She reached beneath her collar, her fingers brushing the silver chain. The Heartstone Pendant rested against her sternum, cold as winter water. She checked the watch on her wrist. The hands spun backward once, then twitched into place. Ancient oaks loomed at the edge of the tarmac, their trunks swollen and knotted like arthritic knuckles. "Shouldn't have come out this late," she murmured to the dark. The silence stretched too wide. Usually, the city hummed a low, constant bass against the horizon, but London simply vanished behind her. The air tasted of crushed fern and pennies. She swung her leg over the saddle and boots crunched on gravel. The sound echoed back at her a fraction of a second too late. Deep within the clearing, an owl hooted. Then another answered, but the second call possessed too many syllables. It clicked in the high branches like dry bone on slate. Aurora unclipped the delivery box from the rear rack. Nothing inside. Just a dead drop for a client who paid in cash and left notes under her welcome mat. She stepped off the path, grass soaking through the canvas of her trainers instantly. The ground felt spongy, like walking on a sleeping stomach. A shadow detached itself from a massive trunk ten yards ahead. It drifted sideways, staying perpendicular to her vision. She blinked and stared straight at the spot, but the bark stood bare. "Who's there?" The wind answered, rustling dead leaves upward into the canopy. Leaves never fell up. She walked forward, thumb worrying the crescent-shaped scar on her left wrist. The pendant warmed against her skin. A faint crimson pulse radiated through the fabric of her coat, casting a tiny, rhythmic heartbeat of light onto the wet ferns. The air grew heavy, smelling faintly of ozone and rusted iron. Something scuttled through the underbrush to her left. Fast. Too fast for a fox, too low to the ground for a dog. It moved with a jagged, multi-jointed rhythm, snapping twigs in a deliberate sequence. "I have a torch," she lied, her voice tight and thin. The scuttling stopped. A low vibration hummed through the soles of her shoes, rattling the fillings in her teeth. The standing stones rose from the mist ahead, massive slabs of grey granite arranged in a rough circle. They hadn't been there when she parked the scooter. She knew every inch of this perimeter from her midnight shortcuts, yet these monoliths loomed like jagged teeth breaking through the earth's skin. Frost crept outward from the base of the nearest stone, tracing geometric patterns across the grass in seconds. Aurora stopped ten paces from the ring. The center of the circle was darker than the surrounding woods, absorbing the ambient moonlight entirely. A figure stood inside, facing away. It wore a heavy wool coat identical to the one her father used to wear in Cardiff. "Dad?" The figure's shoulders twitched. The head rotated ninety degrees over the left shoulder without the torso moving. Then another ninety. The pendant surged hot against her chest, burning through her shirt. The thing inside the circle dropped to all fours. Its limbs elongated, joints cracking like pistol shots in the quiet clearing. It didn't turn back around, but teeth clicked audibly from the middle of its back, splitting the wool fabric of the coat. Aurora backed away, heel catching on a root. She hit the ground hard, breath knocking from her lungs. The perimeter stones began to hum, a deep, resonant tone that vibrated inside her skull. The fog curdled into black threads, winding around her ankles like hemp rope. The creature in the circle rose. It stood eight feet tall now, its limbs too long for its torso, skin the grey-white of lard. It stepped across the threshold of the stones. Aurora scrambled backward through the wet moss, eyes locked on the lengthening shadow that stretched out from the monoliths to swallow her whole.
created_at"2026-07-25T14:41:48.802Z" 7/25/2026, 2:41:48 PM
model"google/gemini-3.5-flash-lite-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency322
moderation_latency(null)
generation_time5190
tokens_prompt1008
tokens_completion1061
native_tokens_prompt963
native_tokens_completion903
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"
usage0.0025464
router(null)
provider_responses
0
endpoint_id"6bd8f433-79e1-416c-b407-1772eb796c9a"
id"LMtkasKUO624sOIP6MaF-Qk"
is_byokfalse
latency322
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-1784990508-TzINs2l7ySAWHUiWL5fA"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784990508-pyRd9bvU3i16uCuQzute"
upstream_id"LMtkasKUO624sOIP6MaF-Qk"
total_cost0.0025464
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
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences4
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount700
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
28.57% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount700
totalAiIsms10
found
0
word"chill"
count1
1
word"loomed"
count2
2
word"silence"
count1
3
word"echoed"
count1
4
word"stomach"
count1
5
word"pulse"
count1
6
word"rhythmic"
count1
7
word"tracing"
count1
8
word"vibrated"
count1
highlights
0"chill"
1"loomed"
2"silence"
3"echoed"
4"stomach"
5"pulse"
6"rhythmic"
7"tracing"
8"vibrated"
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
narrationSentences63
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences63
filterMatches(empty)
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences65
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen23
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords700
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions10
wordCount687
uniqueNames6
maxNameDensity0.73
worstName"Aurora"
maxWindowNameDensity1.5
worstWindowName"Aurora"
discoveredNames
Park1
Heartstone1
Pendant1
London1
Cardiff1
Aurora5
persons
0"Pendant"
1"Aurora"
places
0"Park"
1"London"
2"Cardiff"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences55
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount700
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences65
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs23
mean30.43
std20.58
cv0.676
sampleLengths
081
117
211
355
429
553
632
72
814
951
1035
1111
1269
1318
1446
151
1620
1711
1843
1918
2028
2132
2223
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences63
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs98
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences65
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount689
adjectiveStacks0
stackExamples(empty)
adverbCount26
adverbRatio0.03773584905660377
lyAdverbCount6
lyAdverbRatio0.008708272859216255
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences65
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences65
mean10.77
std5.25
cv0.488
sampleLengths
09
16
212
39
47
511
611
77
89
917
1011
115
1217
138
1412
1513
167
1711
1811
199
202
2118
2214
2310
2411
258
2613
272
2810
294
3012
316
3222
3311
348
351
3613
3713
3811
393
4016
4118
429
4323
4418
457
4616
476
4817
491
56.41% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.38461538461538464
totalSentences65
uniqueOpeners25
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences61
matches
0"Usually, the city hummed a"
1"Then another answered, but the"
2"Just a dead drop for"
3"Too fast for a fox,"
4"Then another ninety."
ratio0.082
88.85% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences61
matches
0"Her breath plumed grey against"
1"She reached beneath her collar,"
2"She checked the watch on"
3"she murmured to the dark"
4"She swung her leg over"
5"It clicked in the high"
6"She stepped off the path,"
7"It drifted sideways, staying perpendicular"
8"She blinked and stared straight"
9"She walked forward, thumb worrying"
10"It moved with a jagged,"
11"she lied, her voice tight"
12"They hadn't been there when"
13"She knew every inch of"
14"It wore a heavy wool"
15"Its limbs elongated, joints cracking"
16"It didn't turn back around,"
17"She hit the ground hard,"
18"It stood eight feet tall"
19"It stepped across the threshold"
ratio0.328
17.38% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount54
totalSentences61
matches
0"The headlights cut out, plunging"
1"Richmond Park swallowed the engine"
2"Aurora killed the ignition, the"
3"Fog rolled across the asphalt"
4"Her breath plumed grey against"
5"She reached beneath her collar,"
6"The Heartstone Pendant rested against"
7"She checked the watch on"
8"The hands spun backward once,"
9"she murmured to the dark"
10"The silence stretched too wide."
11"The air tasted of crushed"
12"She swung her leg over"
13"The sound echoed back at"
14"It clicked in the high"
15"Aurora unclipped the delivery box"
16"She stepped off the path,"
17"The ground felt spongy, like"
18"A shadow detached itself from"
19"It drifted sideways, staying perpendicular"
ratio0.885
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences61
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences35
technicalSentenceCount1
matches
0"The perimeter stones began to hum, a deep, resonant tone that vibrated inside her skull."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount1
matches
0"she lied, her voice tight and thin"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount2
fancyTags
0"she murmured (murmur)"
1"she lied (lie)"
dialogueSentences4
tagDensity0.5
leniency1
rawRatio1
effectiveRatio1
83.0404%