Run: 2026-04-24-01KQ08T3ZV36927MEVR4KN79MX

Run Details

Duration:
3m 11s
Cost:
$0.058003
Provider:
DeepInfra

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
Rory's boots sank into frost-brittle grass outside Richmond Park's gate, the London hum fading to a dull pressure behind her ears. The streetlamps along Priory Lane had flickered out one by one behind her, not blown, but extinguished, as if the dark had snuffed them. She should have stayed in the flat above Silas' bar. Should have hurled the pendant into the Thames the moment she found it on her pillow, no note, no scent, no logical origin. The crimson stone, no larger than her thumbnail, had burned against her collarbone for the past hour, dragging her across Kingston Vale like a hook through a fish's mouth. It throbbed in time with her pulse, except the rhythm was wrong. Skipped beats. Double beats. A watch filled with sand. She pushed through a gap in the brambles she had never noticed before, despite six months of delivering Sichuan pork up and down these roads. The grove waited. Four pillars erupted from the earth. Not stone. Oak. Petrified grain stood exposed like frozen muscle, ancient wood turned to something denser than granite. They marked a boundary her skin recognized before her mind could name it. The hair on her arms stood upright. Between the monoliths, wildflowers carpeted the clearing in colors that insulted the November dark. Silver, violet, bone-white. They bloomed in abundance, petals open and hungry for starlight that didn't penetrate the clouds. R
created_at"2026-04-24T17:32:43.398Z" 4/24/2026, 5:32:43 PM
model"moonshotai/kimi-k2.6-20260420"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency400
moderation_latency(null)
generation_time190489
tokens_prompt1038
tokens_completion18097
native_tokens_prompt930
native_tokens_completion16384
native_tokens_completion_images(null)
native_tokens_reasoning17742
native_tokens_cached64
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"length"
native_finish_reason"length"
usage0.0580031
router(null)
provider_responses
0
endpoint_id"a2828210-ff0a-4882-9a4f-cce2aca73946"
id"chatcmpl-RElFYm42WpYrUD2QdwvCZ4SV"
is_byokfalse
latency98
model_permaslug"moonshotai/kimi-k2.6-20260420"
provider_name"DeepInfra"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777051963-mBnWvT98kJvqZHNKefJx"
session_id(null)
api_type"completions"
id"gen-1777051963-U6uV8It0GunfpXLYpGem"
upstream_id"chatcmpl-RElFYm42WpYrUD2QdwvCZ4SV"
total_cost0.0580031
cache_discount0.0000384
upstream_inference_cost0
provider_name"DeepInfra"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences0
tagDensity1
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount233
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)
35.62% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount233
totalAiIsms3
found
0
word"flickered"
count1
1
word"throbbed"
count1
2
word"pulse"
count1
highlights
0"flickered"
1"throbbed"
2"pulse"
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
narrationSentences21
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences21
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences21
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords233
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions11
wordCount231
uniqueNames11
maxNameDensity0.43
worstName"Richmond"
maxWindowNameDensity0
worstWindowName(null)
discoveredNames
Richmond1
Park1
London1
Priory1
Lane1
Should1
Thames1
Kingston1
Vale1
Sichuan1
November1
persons
0"Should"
1"Vale"
places
0"Richmond"
1"Park"
2"London"
3"Priory"
4"Lane"
5"Thames"
6"Kingston"
7"Sichuan"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences13
glossingSentenceCount0
matches(empty)
0.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords4.292
wordCount233
matches
0"not blown, but extinguished, as if the dark had snuffed them"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences21
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs5
mean46.6
std48.86
cv1.049
sampleLengths
0128
125
23
376
41
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences21
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs34
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences21
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount54
adjectiveStacks0
stackExamples(empty)
adverbCount1
adverbRatio0.018518518518518517
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences21
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences21
mean11.1
std8.8
cv0.794
sampleLengths
021
124
210
323
429
512
62
72
85
925
103
116
122
131
1415
1513
167
1714
183
1915
201
100.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.7619047619047619
totalSentences21
uniqueOpeners16
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences16
matches(empty)
ratio0
95.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount5
totalSentences16
matches
0"She should have stayed in"
1"It throbbed in time with"
2"She pushed through a gap"
3"They marked a boundary her"
4"They bloomed in abundance, petals"
ratio0.313
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount11
totalSentences16
matches
0"Rory's boots sank into frost-brittle"
1"The streetlamps along Priory Lane"
2"She should have stayed in"
3"The crimson stone, no larger"
4"It throbbed in time with"
5"A watch filled with sand."
6"She pushed through a gap"
7"The grove waited."
8"They marked a boundary her"
9"The hair on her arms"
10"They bloomed in abundance, petals"
ratio0.688
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences16
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences10
technicalSentenceCount2
matches
0"The streetlamps along Priory Lane had flickered out one by one behind her, not blown, but extinguished, as if the dark had snuffed them."
1"They bloomed in abundance, petals open and hungry for starlight that didn't penetrate the clouds."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
84.3541%