Run: 2026-09-23-01M36NN7C1Y3YTVZQQQD65XD6G

Run Details

Duration:
35.1s
Cost:
$0.001220
Provider:
OpenAI

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 gate stood open, though Aurora remembered pulling it shut behind her. She stopped beneath the iron arch and looked back along the path. Richmond Park’s lamps had dwindled to a weak amber line between the trees. Beyond them, the road lay empty. No cars passed. No voices carried from the houses. Her phone showed 11:47. The map’s blue dot shivered in place. “Fine,” she murmured. “You can be useless out here.” She slipped the phone into her coat pocket and touched the pendant beneath her jumper. The crimson stone rested against her skin, small and warm. It had started pulsing on her walk from the bus stop, a faint thud that matched no rhythm she could find in her own body. She had followed it through the park, past the deer paddocks and the dark shapes of trees, until it led her to a clearing she had never seen before. Now the pulse had stopped. She could have turned back. The thought arrived with the same calm weight as a fact: she could go home, climb the stairs to the flat above Silas’ bar, and put the pendant in a drawer. In the morning she could pretend she had not followed a warmth through a park at night. Instead, she ducked beneath the gate. The ancient oaks stood in a rough circle ahead, their trunks thick enough to hide a car. Between them, the clearing held a spill of pale flowers. They covered the grass from edge to edge, open to the night as if the dark belonged to them. Their petals caught the moonlight, though the moon sat behind cloud. Aurora checked the screen again. The map had replaced Richmond Park with a blank grey patch. Her blue dot sat just outside it. She took a picture of the stones. The flash lit the clearing white. For half a second, the flowers seemed flattened against the ground, every stalk bent away from the centre. Then the darkness returned. Aurora lowered the phone. The flowers stood upright. A sound came from beyond the stones: three taps, spaced like knuckles on wood. She held still. Nothing answered. A branch could have struck a trunk. A bird could have disturbed itself in the leaves. She listened for a second sound that would make sense of the first. The park gave her only the scratch of wind high in the oaks. The pendant warmed under her jumper. “Is this what you wanted?” she asked it. Her voice crossed the clearing and came back thin. She took one step inside the circle. The flowers brushed her boots. Their stems bowed without breaking, and when she lifted her foot, they rose again. Not bent. Not crushed. She leaned down and touched a petal. It felt cool and damp, though the air had dried her lips. At the centre of the clearing, a narrow track ran through the flowers. Its dirt looked dark and packed, as if many feet had pressed it down. She followed it to a low stone half hidden by grass. Someone had cut a shallow groove across the top. Aurora crouched. The groove held a bead of water. She touched it with one finger. The tapping sounded again. Three knocks. Closer now. She stood too fast and knocked her shoulder against a branch. The pendant struck her sternum. Its heat flared. A red gleam showed through the knit of her jumper. The knocks came from the stone. Aurora stared at the groove. The bead of water trembled, then slid towards her hand. “No.” The word slipped out before she could stop it. She backed away from the stone. Her heel sank into the flowers. A whisper stirred the oaks. She turned towards the tree line. The sound came from everywhere and nowhere, a breath threaded through leaves. She caught no words. Then a small laugh rose from behind the nearest trunk. Aurora gripped the pendant through the fabric. The silver chain bit into her fingers. “Who’s there?” The clearing gave no reply. Her own question seemed to hang above the flowers, waiting for someone else to take it. She crossed to the nearest oak and shone her phone’s torch around its trunk. The beam found ridged bark, moss, a torn strip of pale cloth snagged on a low branch. Beyond the tree, the park stretched in black layers. No person. She walked around the trunk. The pale cloth twisted in the wind. It was only a strip of birch bark, caught between two roots. She looked down to check, and the torch beam picked out a line of small footprints in the mud. Bare feet. Narrow heels. The marks crossed the path behind her and stopped at the edge of the flowers. Aurora’s breath caught. She crouched for a closer look, keeping the light on the ground. The prints held no water. Their edges stayed sharp in the mud. She counted them. Six. Seven. Eight. The last print pointed into the clearing. The next should have appeared in the flowers, but the pale petals showed no mark. A low thump sounded behind her. Aurora rose and swung the torch towards the stones. A shape stood among them, taller than the others, narrow as a person. It had not been there when she crossed the circle. The light reached it and slid over a surface as smooth and black as wet bark. Her hand found the phone’s camera button. The shape remained still. She took a picture. The flash burst. The stones stood empty. She looked at the photo. White flowers. Oak trunks. The low stone. At the far edge of the image, a pale blur hung between two trees, too narrow to be a branch. The phone buzzed in her hand. The screen showed 11:47. She pressed the side button. The display went black. “Come on.” She tapped the glass. Her reflection surfaced, grey and tight-eyed. Behind her reflected shoulder, something pale moved across the clearing. Aurora spun round. The flowers shifted in a broad, silent wave. Not wind. Every head bent from the stones towards her boots, then lifted in sequence. The movement crossed the clearing and stopped at the oak behind her. She stepped away from it. A whisper slid down the trunk, close to her ear. “Laila.” Aurora froze. No one used that name here. No one in London called her Laila. The sound had come from the bark beside her cheek. She backed away until her shoulder hit the next tree. “Who told you that?” The pendant pulsed once, hot enough to sting. She pulled it from beneath her jumper. The crimson stone glowed through her fingers. Its light caught the silver chain, the small crescent scar on her wrist, the flowers at her feet. At the edge of the clearing, the bare footprints had changed. A fresh print pressed into the mud. Then another. They formed one at a time, heading towards her. Aurora kept the torch trained on the ground. The prints advanced at a walking pace, their toes pointing straight at her. She moved sideways, matching them, never letting the beam wander. Her phone shook against her palm. The tracks passed the low stone. The bead of water sat in the groove. It had turned red. Aurora’s pulse hammered beneath the pendant’s steady heat. She backed towards the standing stones. The nearest oak shadow stretched across the flowers, though the light behind her had not changed. The prints stopped. She stopped too. A sound came from behind the stones. A slow scrape, as if something dragged a heavy object over dirt. It circled the clearing. Aurora tracked it with the torch, but the beam found only flower heads and trunks. The scrape moved to her left, then behind her, then close enough that she felt the sound in the soles of her boots. She reached the gap between two stones. The path back to the park should have run straight ahead. Instead, she faced another row of oaks, their trunks close together. The pale flowers filled the ground between them. No gate. No distant lamps. Her phone lit in her hand. The map returned. The blue dot blinked at the centre of the clearing. A new message appeared on the screen. No sender name. No number. DON’T TURN AROUND. Aurora’s fingers locked around the phone. The scrape stopped behind her. She watched her reflection in the dark glass. The clearing lay in miniature across the screen, distorted by the curve of her grip. A shape stood behind her, just beyond the glow of the pendant, its head tilted towards her shoulder. Aurora did not turn. The pendant throbbed against her palm. In the reflection, the shape lifted one hand and laid it on the stone at her back.
created_at"2026-09-23T08:21:02.984Z" 9/23/2026, 8:21:02 AM
model"openai/gpt-6-luna-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency8905
moderation_latency(null)
generation_time35044
tokens_prompt1008
tokens_completion2228
native_tokens_prompt916
native_tokens_completion2256
native_tokens_completion_images0
native_tokens_reasoning462
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"completed"
service_tier"default"
usage0.0012196
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790151662-q2rniRHlkdjhuMXHGn37"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790151662-KpDi2GsDYHnV5YXS3kCQ"
upstream_id"resp_0cdbf095af04bfaa016ab38bef12ec87d1b8bc61f9b740f000"
provider_responses
0
endpoint_id"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id"resp_0cdbf095af04bfaa016ab38bef12ec87d1b8bc61f9b740f000"
is_byokfalse
latency427
model_permaslug"openai/gpt-6-luna-20260922"
provider_name"OpenAI"
status200
total_cost0.0012196
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences8
tagDensity0.375
leniency0.75
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1464
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)
65.85% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1464
totalAiIsms10
found
0
word"pulse"
count2
1
word"weight"
count1
2
word"warmth"
count1
3
word"sense of"
count1
4
word"trembled"
count1
5
word"whisper"
count2
6
word"pulsed"
count1
7
word"throbbed"
count1
highlights
0"pulse"
1"weight"
2"warmth"
3"sense of"
4"trembled"
5"whisper"
6"pulsed"
7"throbbed"
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
narrationSentences178
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences178
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences184
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1464
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
97.66% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions21
wordCount1433
uniqueNames5
maxNameDensity1.05
worstName"Aurora"
maxWindowNameDensity1.5
worstWindowName"Aurora"
discoveredNames
Aurora15
Park2
Richmond2
London1
Laila1
persons
0"Aurora"
1"Laila"
places
0"Park"
1"Richmond"
2"London"
globalScore0.977
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences114
glossingSentenceCount1
matches
0"seemed flattened against the ground, every stalk bent away from the centre"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1464
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences184
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs81
mean18.07
std17.01
cv0.941
sampleLengths
012
140
211
39
479
55
653
76
857
923
1031
114
128
1314
143
152
1642
176
188
1916
2042
2147
2215
234
244
2529
266
2715
281
2921
305
3132
3214
332
3421
3540
362
3743
3819
3927
406
417
4215
436
4448
4515
467
4732
4810
499
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences178
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs219
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences184
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount181
adjectiveStacks0
stackExamples(empty)
adverbCount2
adverbRatio0.011049723756906077
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences184
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences184
mean7.96
std5.34
cv0.671
sampleLengths
012
112
213
36
43
56
64
77
83
96
1015
1110
1225
1329
145
155
1631
1717
186
1917
2010
2119
2211
235
2411
257
267
276
2818
294
304
314
3214
333
342
357
369
3713
3813
396
408
419
427
435
4414
452
462
477
4812
4913
42.39% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.21739130434782608
totalSentences184
uniqueOpeners40
84.39% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences158
matches
0"Instead, she ducked beneath the"
1"Then the darkness returned."
2"Then a small laugh rose"
3"Instead, she faced another row"
ratio0.025
78.23% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount56
totalSentences158
matches
0"She stopped beneath the iron"
1"Her phone showed 11:47."
2"She slipped the phone into"
3"It had started pulsing on"
4"She had followed it through"
5"She could have turned back."
6"They covered the grass from"
7"Their petals caught the moonlight,"
8"Her blue dot sat just"
9"She took a picture of"
10"She held still."
11"She listened for a second"
12"she asked it"
13"Her voice crossed the clearing"
14"She took one step inside"
15"Their stems bowed without breaking,"
16"She leaned down and touched"
17"It felt cool and damp,"
18"Its dirt looked dark and"
19"She followed it to a"
ratio0.354
29.62% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount136
totalSentences158
matches
0"The gate stood open, though"
1"She stopped beneath the iron"
2"Richmond Park’s lamps had dwindled"
3"Her phone showed 11:47."
4"The map’s blue dot shivered"
5"She slipped the phone into"
6"The crimson stone rested against"
7"It had started pulsing on"
8"She had followed it through"
9"She could have turned back."
10"The thought arrived with the"
11"The ancient oaks stood in"
12"They covered the grass from"
13"Their petals caught the moonlight,"
14"Aurora checked the screen again."
15"The map had replaced Richmond"
16"Her blue dot sat just"
17"She took a picture of"
18"The flash lit the clearing"
19"Aurora lowered the phone."
ratio0.861
31.65% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences158
matches
0"Now the pulse had stopped."
ratio0.006
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences59
technicalSentenceCount1
matches
0"A slow scrape, as if something dragged a heavy object over dirt."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
25.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"she murmured (murmur)"
dialogueSentences8
tagDensity0.25
leniency0.5
rawRatio0.5
effectiveRatio0.25
88.4927%