Run: 2026-07-09-01KX41BJEGE64C8BJFW2XM8SJT

Run Details

Duration:
22.6s
Cost:
$0.030070
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
Aurora left the bicycle chained beneath a dead streetlamp and crossed the last strip of Richmond Park on foot. The city had not vanished behind her. London still pressed against the park’s fences: tyres hissed over wet road, a siren cried somewhere beyond the treetops, a train dragged its lit windows through the dark. Yet the noises thinned with every step, as if the grass absorbed them. Her trainers sank into mud. “Perfect,” she muttered, dragging one foot free. “Absolutely perfect.” The Heartstone lay under her jumper, hard against her breastbone. Its silver chain bit into the back of her neck. Each pulse of the deep crimson gem sent a small pocket of heat through her skin. It had started warming while she stood in the Golden Empress kitchen, wiping grease from her hands after the dinner rush. Yu-Fei had shouted for someone to take an order to a house in Kew. Aurora had reached for her helmet, then stopped with one hand on the door. The pendant had burned hot enough to make her flinch. Now it had settled into a steady beat. Not heat. Not quite. A second pulse beneath her own. The old oaks rose ahead, their trunks twisted and black with rain. Between them stood the boundary stones: four slabs of grey rock shoved into the earth at crooked angles, too broad and smooth to belong in a public park. Moss crawled over their faces. Water gathered in their carved grooves. Aurora had come here twice before, always in daylight, always with someone beside her. The grove had looked strange then. Beautiful, if beauty could carry a knife. At night it looked shut. She stopped before the stones. The pendant warmed. A fox barked behind her. Aurora spun round. Nothing stood on the path. Rain silvered the grass. The park gates sat far off through the trees, a set of black teeth beneath a pale security light. Another bark cracked through the night. Too close. She searched the shadows at the foot of the nearest oak. Two pale points shone there, low to the ground. “Go on,” Aurora called. “I’m not carrying food.” The lights did not blink. A branch scraped against another branch. The pale points rose. Aurora held her breath. They climbed higher than a fox’s eyes should have climbed, sliding up the trunk until they vanished among the leaves. The rain stopped. Not eased. Stopped. Drops hung from the grass blades. Water dripped from Aurora’s hair onto her collar. But no fresh rain touched her face. She looked up. Cloud covered the sky, swollen and low. The oak boughs stirred beneath it. A single leaf loosened, fell, and halted a foot above the ground. Aurora reached for it. The leaf dropped into the mud. “Fine,” she whispered. “That’s fine.” Her voice reached the standing stones and came back thin. Fine. Fine. The echo did not sound like her. She slipped through the gap between the two central stones. The grove opened around her. Wildflowers covered the clearing despite the season: bluebells, foxgloves, buttercups, small white flowers with faces like stars. Their colours should have vanished in the dark, yet they held a soft, drowned brightness. The ring of trees enclosed them so tightly that the park disappeared at once. Aurora glanced back. The standing stones remained where they had been, but the gap between them showed only darkness. No path. No fence. No smear of London lights. Her jaw tightened. “Right. Quick look. Then I leave.” The Heartstone answered with a pulse that travelled down the chain and into her ribs. She walked towards the centre of the clearing. Someone had disturbed the flowers. A narrow trail pushed through them from the western edge of the grove to the old oak at its heart. The blossoms had not been crushed. They bent away from an invisible line, stems flattened outward as though something hot had passed over them. Aurora crouched beside the trail. The mud held no footprints. It held handprints. One after another, spaced too far apart. Five long fingers pressed into the earth. Each palm print pointed towards the oak. She stared at them. Her own hands began to ache. A sound came from the tree. Tap. Aurora stood. Tap. Tap. It sounded like fingernails against glass. The old oak’s roots buckled through the soil in thick ropes. Its trunk split down the middle, leaving a dark seam from the roots to the first knot of branches. She had seen that seam before. It had been nothing more than a lightning scar. Tonight, it breathed. The gap widened. Closed. Widened. Aurora’s thumb rubbed the crescent scar on her left wrist until the skin burned. “Isolde?” she called. The name slipped between the trees. No answer came. She waited. A child laughed. It came from behind the oak. A quick, breathless sound. Then a woman’s voice murmured beneath it, too soft for words. Aurora took one step towards the trunk. The pendant flared. Heat punched through her jumper. She grabbed it through the fabric and sucked in a breath. The laugh stopped. “What do you want?” The question came from the split in the tree. Aurora did not move. The voice had no age to it. It folded in on itself, a child’s pitch braided through a man’s rough murmur and an old woman’s wet whisper. “What do you want?” “I came because this thing started acting up.” She drew the pendant out, holding the crimson stone in her fist. Its inner glow bled between her fingers. The groove in the oak widened. Cold air spilled from it. Not night air. This carried the smell of wet stone, old ash, and something sweet gone rotten in a sealed room. The flowers around Aurora folded shut. “What did you bring?” the voice asked. “You know what it is.” The bark around the split shifted. A shape pressed from inside the trunk. Not a face. The suggestion of one: a hollow where an eye should be, a ridge like a cheekbone, a narrow dent where a mouth might have formed. The wood strained around it, wet and dark. “I know its hunger.” Aurora’s fingers locked around the Heartstone. “It’s not hungry.” The hollow in the bark deepened. “You keep it close. You warm it. You feed it your sleep.” A rustle moved through the flowerbed to her left. Aurora turned. Nothing stood there. The foxgloves swayed in a row, though the grove held no wind. The swaying travelled across the clearing. Left to right. Closer. “Who are you?” Aurora asked. The bark-face withdrew. The split in the trunk narrowed until it became a black scar. A low scrape answered from behind her. She turned again. The handprints in the mud had changed direction. They now pointed towards her. One print appeared at the far end of the trail. Aurora watched the mud compress beneath an unseen palm. Another print formed ahead of it. Then another. Each one sank into the earth with a soft, sucking sound. She backed away from them. The pendant’s heat climbed into pain. Crimson light leaked over her knuckles, staining the rainwater pooled in the lines of her skin. “Stop.” The prints kept coming. “Stop.” A handprint struck the mud a few feet from her shoe. Five fingers. Too long. The thumb bent at the wrong angle. Aurora stumbled back into the old oak. Bark dug through her jumper. The trunk shuddered against her spine. Something whispered from the split. “Don’t let it see you.” Her breath caught. “What?” The grove went still. Not quiet. Still. The flowers stopped moving. The trees stopped creaking. Even the water dribbling from the leaves froze in bright beads. Aurora heard a sound beyond the standing stones. Footsteps. Slow. Measured. Heavy enough to press each heel into sodden ground. They came from the direction of the path that no longer existed. Aurora stared towards the entrance. Between the stones, darkness thickened. It gathered itself into a tall shape without edges. No face showed in it, no limbs, no detail her eyes could hold. It simply occupied the gap, deeper than the night around it. The Heartstone pounded against her palm. Once. Twice. The dark shape tilted its head. Aurora shoved the pendant beneath her jumper and pressed her back into the oak. The voice in the trunk spoke against her ear. “Too late.”
created_at"2026-07-09T18:13:35.321Z" 7/9/2026, 6:13:35 PM
model"openai/gpt-5.6-terra-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1477
moderation_latency(null)
generation_time22411
tokens_prompt1038
tokens_completion2416
native_tokens_prompt916
native_tokens_completion1852
native_tokens_completion_images0
native_tokens_reasoning70
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"
usage0.03007
router(null)
provider_responses
0
endpoint_id"3cc89000-ae34-4dde-9c7d-5ce009c8af0b"
id"resp_0085b1cb7360558d016a4fe4cf66e481909fd90f29901a589d"
is_byokfalse
latency232
model_permaslug"openai/gpt-5.6-terra-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783620815-LQ88pTcdtzO9FgkjRq6z"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783620815-fXdowFhXpXY8QqR85yVv"
upstream_id"resp_0085b1cb7360558d016a4fe4cf66e481909fd90f29901a589d"
total_cost0.03007
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
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
totalTags6
adverbTagCount0
adverbTags(empty)
dialogueSentences22
tagDensity0.273
leniency0.545
rawRatio0
effectiveRatio0
96.43% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1399
totalAiIsmAdverbs1
found
0
adverb"tightly"
count1
highlights
0"tightly"
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)
64.26% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1399
totalAiIsms10
found
0
word"perfect"
count2
1
word"absolutely"
count1
2
word"pulse"
count3
3
word"echo"
count1
4
word"whisper"
count1
5
word"footsteps"
count1
6
word"measured"
count1
highlights
0"perfect"
1"absolutely"
2"pulse"
3"echo"
4"whisper"
5"footsteps"
6"measured"
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
narrationSentences186
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences186
filterMatches(empty)
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences202
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1399
ratio0
matches(empty)
83.33% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions1
matches
0"Tonight, it breathed."
63.08% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions37
wordCount1323
uniqueNames9
maxNameDensity1.74
worstName"Aurora"
maxWindowNameDensity2.5
worstWindowName"Aurora"
discoveredNames
Richmond1
Park1
Heartstone4
Golden1
Empress1
Kew1
Aurora23
London2
Tap3
persons
0"Heartstone"
1"Aurora"
places
0"Richmond"
1"Park"
2"Golden"
3"Kew"
4"London"
globalScore0.631
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences102
glossingSentenceCount1
matches
0"sounded like fingernails against glass"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1399
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences202
matches
0"seen that seam"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs140
mean9.99
std11.07
cv1.108
sampleLengths
019
148
25
39
436
549
610
78
84
96
1051
1127
125
135
143
155
163
1728
186
192
2020
218
225
2310
244
2520
263
273
2821
293
3025
314
326
335
3410
351
361
377
3810
395
4046
413
4225
433
446
4515
468
475
4844
495
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences186
matches
0"been crushed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs206
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences202
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1325
adjectiveStacks0
stackExamples(empty)
adverbCount36
adverbRatio0.027169811320754716
lyAdverbCount3
lyAdverbRatio0.0022641509433962265
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences202
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences202
mean6.93
std5.22
cv0.753
sampleLengths
019
17
228
313
45
57
62
710
810
916
1021
1114
1214
1310
148
152
162
176
1812
1928
205
216
2214
236
247
255
265
273
285
293
305
314
3219
336
342
3511
369
374
384
395
406
414
424
4320
443
452
461
476
488
497
51.65% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.33663366336633666
totalSentences202
uniqueOpeners68
43.29% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences154
matches
0"Then a woman’s voice murmured"
1"Even the water dribbling from"
ratio0.013
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences154
matches
0"Her trainers sank into mud."
1"she muttered, dragging one foot"
2"Its silver chain bit into"
3"It had started warming while"
4"She stopped before the stones."
5"She searched the shadows at"
6"They climbed higher than a"
7"She looked up."
8"Her voice reached the standing"
9"She slipped through the gap"
10"Their colours should have vanished"
11"Her jaw tightened."
12"She walked towards the centre"
13"They bent away from an"
14"It held handprints."
15"She stared at them."
16"Her own hands began to"
17"It sounded like fingernails against"
18"Its trunk split down the"
19"She had seen that seam"
ratio0.214
31.43% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount132
totalSentences154
matches
0"Aurora left the bicycle chained"
1"The city had not vanished"
2"London still pressed against the"
3"Her trainers sank into mud."
4"she muttered, dragging one foot"
5"The Heartstone lay under her"
6"Its silver chain bit into"
7"Each pulse of the deep"
8"It had started warming while"
9"Yu-Fei had shouted for someone"
10"Aurora had reached for her"
11"The pendant had burned hot"
12"A second pulse beneath her"
13"The old oaks rose ahead,"
14"Moss crawled over their faces."
15"Water gathered in their carved"
16"Aurora had come here twice"
17"The grove had looked strange"
18"She stopped before the stones."
19"The pendant warmed."
ratio0.857
32.47% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences154
matches
0"Now it had settled into"
ratio0.006
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences46
technicalSentenceCount1
matches
0"They bent away from an invisible line, stems flattened outward as though something hot had passed over them."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags6
uselessAdditionCount0
matches(empty)
59.09% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount2
fancyTags
0"she muttered (mutter)"
1"she whispered (whisper)"
dialogueSentences22
tagDensity0.273
leniency0.545
rawRatio0.333
effectiveRatio0.182
87.5008%