Run: 2026-10-20-01M5C692SSBC8FY0YMP90K2G9S

Run Details

Duration:
20.6s
Cost:
$0.001015
Provider:
InferenceNet

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 at Richmond Park’s Robin Hood Gate had been locked at dusk, so Rory went over the wall by the maintenance gap where a fallen branch propped the ironwork an arm’s width off the ground. She dropped into wet grass, scraped her palm, and stood a moment listening to the traffic on the Kingston road thinning into nothing. The pendant hung warm against her collarbone. It had been warm since eleven that evening, when she’d been stacking takeaway boxes in Yu-Fei’s back room and it started pulsing like a second heartbeat. Twenty minutes later it turned so hot she had to fish the chain out from under her jumper to let the air at it. That was the reason she came. That, and the man who gave it to her had said a single sentence when he pressed it into her hand outside the Golden Empress: “When it wakes, follow it.” “I’m following,” she said, to nobody in particular. Her voice fell flat, swallowed by grass. “I look like an idiot, but I’m following.” She walked west by the pendant’s glow, a pink smear of light the size of a thumbnail. The path bent through shaved parkland, then a stand of old oaks, then unshaved grass that caught at her ankles and soaked her jeans to the knee. The Glove Hill car park lights should have been visible behind her, a smear of orange through the trees. She checked twice. Nothing. Just the dark pressed flat and even as black felt. The wildflowers started before she expected them. Bluebells, in September. They came out of the ground in a band across the path, waxy stems and cup heads nodding under their own weight, and she stepped over them out of politeness and found the next ten yards carpeted the same way. The pendant cooled against her chest. Then it went cold. Properly cold — the cold of a tap run over a wrist, cold that seemed to travel into the bone behind her sternum. Ahead, the oaks stood in a rough ring, thick and black, grown in a shape no forester would have chosen. Between the trunks the air had a faint shimmer to it, a disturbance like heat over a radiator, and it smelled of cut grass and something sweeter underneath, like the inside of a church. Rory stopped at the boundary and read the trunks out loud, counting them under her breath. “Nine. Nine trees. That’s a ring.” The grass on the other side of the ring grew short and neat, close-clipped, and the wildflowers there were white instead of blue. Nothing moved. She pressed her thumb against the pendant. It was still freezing. “Right,” she said. “There’s a reason. Find the reason.” She stepped between the trees. The city vanished. Not faded — vanished, the way a door shuts. No traffic hum, no distant siren, no plane. Even the wind noise in the leaves stopped. She got birdsong instead, a thin piping from up in the canopy, and when she tilted her head to find it, the sky above was the soft violet of an hour after sunset rather than the full dark of a September night in London. “That’s not possible.” She said it steady enough, and hated how steady it sounded, as though she were reading it. The clearing opened out ahead, a good forty yards across, and the trees on the far side stood too far away to make sense. She turned to look back at the nine oaks. They were there. She could see the gap she’d walked through, and the grass beyond it, and the path she’d come by, all of it perfectly normal, perfectly visible, and somehow it seemed to be a long way off, and getting longer the longer she looked. Rory turned her back on it. “Eva,” she said, and then louder, because saying it made it a fact rather than a hope: “Eva? It’s Rory. I know you came out this way on Saturday. I know you did.” Saturday. Three days. Eva had left the flat with her coat over her arm, said she was meeting someone about a job, and hadn’t come back. Her phone went to voicemail from midnight. The police had a description and a folder and not much else, and Silas had told Rory, in the flat voice men use when they don’t want to argue, to leave it to them. Rory had been to the grove once before, seven years ago, as a teenager on a dare, and she remembered it as a clearing with a bit of atmosphere and a great many midges. She did not remember the soft violet sky or the white flowers or the way the air sat on her face, thick and still. She walked on. Her boots made no noise in the clipped grass — no crunch, no scuff — so she started stamping, deliberately, childishly, and the sounds came out half a second behind her feet. She stopped. The third stamp still arrived, flat and soft, from behind her left shoulder. “Hello?” She spun. The white flowers nodded. Nothing else. “Eva?” The clearing answered with that birdsong piping again, closer now, and coming from a spot on the ground. She crouched, and in the middle of the white flowers, in a patch of bare soil, lay a cigarette end. A Sobranie, the black paper soaked grey. Eva’s brand. Eva had smoked them for years and complained that nobody in London stocked them. Rory picked it up. The filter was still damp. She turned it over. Then she stood and looked around the clearing properly, and there, at the far edge, where the trees started again, a line of cigarette ends went into the wood, one every dozen paces, like a trail laid for a fool. Her fingers were shaking. She put the pendant in her fist and squeezed. Cold. Colder than the air. “All right,” she said. “All right.” She followed the trail. Ten, twenty, thirty. The trees got wider. On the fourth one she passed too close and stopped, because carved into the bark, at the height of her shoulder, was a crescent. Just a crescent, a shallow gouge of a shape, freshly made — the wood pale and weeping at the edges. She lifted her left wrist, where her own crescent scar sat pale against the skin. The carving matched it. Not approximately. Exactly. “This is a joke,” she said, and her voice came out wrong, thin and breathless, so she said it again with her chest behind it. “This is a joke.” Something moved at the corner of her eye. She turned her head fast, and there was nothing, only the trees and the white flowers and the violet sky, and she held still and watched that spot for a long count of ten, and on nine, a shadow moved through the wood at the same height as a person’s head, and it moved without the sound of a footfall, and it moved wrong — in a smooth unbroken line, the way a camera slides on a track. The pendant went warm. Warm, then hot, then burning, and she yelped and let go of it and it swung out from her chest on its chain, glowing crimson, throwing red onto the roots and the bark and her hands. “Rory,” someone called, from deep in the trees, in Eva’s voice. “Rory, don’t come this way.” Rory dropped into a crouch, pulse in her throat. “Eva?” The wood stayed quiet a long moment. Then, nearer, sweetly, in a voice that had Eva’s lilt but none of Eva’s hurry, none of her smoke and swearing: “That’s not me.”
created_at"2026-10-20T08:19:06.687Z" 10/20/2026, 8:19:06 AM
model"deepseek/deepseek-v4.1-flash-20261017"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency137
moderation_latency(null)
generation_time20545
tokens_prompt1008
tokens_completion2217
native_tokens_prompt930
native_tokens_completion2011
native_tokens_completion_images(null)
native_tokens_reasoning379
native_tokens_cached896
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(null)
usage0.001015388
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1792484346-8VGN6R5Qa9li9DlNQiGS"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1792484346-1qsU2egTq48vkLY7P3Pc"
upstream_id"gv2_n2RomoBAbBprUnPZCSg5k"
provider_responses
0
endpoint_id"4231aea9-73af-4a2f-bd14-660b1d8b13b2"
id"gv2_n2RomoBAbBprUnPZCSg5k"
is_byokfalse
latency137
model_permaslug"deepseek/deepseek-v4.1-flash-20261017"
provider_name"InferenceNet"
status200
total_cost0.001015388
cache_discount0.000064512
upstream_inference_cost0
provider_name"InferenceNet"
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
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences18
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
84.34% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1277
totalAiIsmAdverbs4
found
0
adverb"perfectly"
count2
1
adverb"deliberately"
count1
2
adverb"sweetly"
count1
highlights
0"perfectly"
1"deliberately"
2"sweetly"
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)
84.34% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1277
totalAiIsms4
found
0
word"weight"
count1
1
word"footfall"
count1
2
word"pulse"
count1
3
word"lilt"
count1
highlights
0"weight"
1"footfall"
2"pulse"
3"lilt"
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
narrationSentences88
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount2
narrationSentences88
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences97
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen77
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1283
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions31
wordCount1211
uniqueNames18
maxNameDensity0.58
worstName"Rory"
maxWindowNameDensity1.5
worstWindowName"Rory"
discoveredNames
Richmond1
Park1
Robin1
Hood1
Gate1
Rory7
Kingston1
Yu-Fei1
Golden1
Empress1
Glove1
Hill1
September2
London2
Saturday1
Silas1
Sobranie1
Eva6
persons
0"Hood"
1"Gate"
2"Rory"
3"Silas"
4"Eva"
places
0"Richmond"
1"Park"
2"Robin"
3"Kingston"
4"Yu-Fei"
5"Golden"
6"Glove"
7"Hill"
8"September"
9"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences56
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1283
matches(empty)
97.94% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences97
matches
0"complained that nobody"
1"watched that spot"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs34
mean37.74
std26.36
cv0.699
sampleLengths
059
193
223
377
456
527
654
722
836
99
105
1172
1220
1379
1439
1567
1658
1750
1810
1918
2043
2153
2218
236
2470
257
2629
2786
2840
2916
3010
317
3221
333
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences88
matches
0"been locked"
45.86% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs173
matches
0"was still freezing"
1"were reading"
2"was meeting"
3"were shaking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences5
totalSentences97
ratio0.052
matches
0"Properly cold — the cold of a tap run over a wrist, cold that seemed to travel into the bone behind her sternum."
1"Not faded — vanished, the way a door shuts."
2"Her boots made no noise in the clipped grass — no crunch, no scuff — so she started stamping, deliberately, childishly, and the sounds came out half a second behind her feet."
3"Just a crescent, a shallow gouge of a shape, freshly made — the wood pale and weeping at the edges."
4"She turned her head fast, and there was nothing, only the trees and the white flowers and the violet sky, and she held still and watched that spot for a long count of ten, and on nine, a shadow moved through the wood at the same height as a person’s head, and it moved without the sound of a footfall, and it moved wrong — in a smooth unbroken line, the way a camera slides on a track."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1207
adjectiveStacks0
stackExamples(empty)
adverbCount44
adverbRatio0.03645401822700911
lyAdverbCount11
lyAdverbRatio0.009113504556752278
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences97
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences97
mean13.23
std13.34
cv1.009
sampleLengths
036
123
27
326
424
56
630
78
87
98
1017
1127
1219
133
141
1510
167
173
1840
196
204
2123
2220
2334
2416
256
2623
272
287
294
303
316
325
333
349
358
368
3744
3820
3924
409
413
4243
436
4433
451
462
4723
487
4934
53.61% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.3711340206185567
totalSentences97
uniqueOpeners36
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount7
totalSentences75
matches
0"Just the dark pressed flat"
1"Then it went cold."
2"Properly cold — the cold"
3"Even the wind noise in"
4"Then she stood and looked"
5"Just a crescent, a shallow"
6"Then, nearer, sweetly, in a"
ratio0.093
70.67% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences75
matches
0"She dropped into wet grass,"
1"It had been warm since"
2"she said, to nobody in"
3"Her voice fell flat, swallowed"
4"She walked west by the"
5"She checked twice."
6"They came out of the"
7"She pressed her thumb against"
8"It was still freezing."
9"She stepped between the trees."
10"She got birdsong instead, a"
11"She said it steady enough,"
12"She turned to look back"
13"They were there."
14"She could see the gap"
15"she said, and then louder,"
16"Her phone went to voicemail"
17"She did not remember the"
18"She walked on."
19"Her boots made no noise"
ratio0.373
66.67% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount59
totalSentences75
matches
0"The gate at Richmond Park’s"
1"She dropped into wet grass,"
2"The pendant hung warm against"
3"It had been warm since"
4"That was the reason she"
5"That, and the man who"
6"she said, to nobody in"
7"Her voice fell flat, swallowed"
8"She walked west by the"
9"The path bent through shaved"
10"The Glove Hill car park"
11"She checked twice."
12"The wildflowers started before she"
13"Bluebells, in September."
14"They came out of the"
15"The pendant cooled against her"
16"Rory stopped at the boundary"
17"The grass on the other"
18"She pressed her thumb against"
19"It was still freezing."
ratio0.787
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences75
matches(empty)
ratio0
99.57% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
technicalSentenceCount2
matches
0"Warm, then hot, then burning, and she yelped and let go of it and it swung out from her chest on its chain, glowing crimson, throwing red onto the roots and the…"
1"Then, nearer, sweetly, in a voice that had Eva’s lilt but none of Eva’s hurry, none of her smoke and swearing:"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount0
fancyTags(empty)
dialogueSentences18
tagDensity0.389
leniency0.778
rawRatio0
effectiveRatio0
86.7660%