Run: 2026-10-08-01M4D9X7CTZ3VBWK4W39P1A5BC

Run Details

Duration:
13.1s
Cost:
$0.001086
Provider:
Claude Platform on AWS

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 park gates had long since locked, so Aurora went over the fence at the bottom of the bracken slope, where the iron spikes had rusted into flakes that came away under her palm. Her trainers slipped on wet leaves. She caught herself on an oak trunk, breathed out, and listened. Deer shifted somewhere to the east. A car hissed along Sheen Road, then went quiet. The silver chain lay cold against her collarbone. Under her shirt, the Heartstone Pendant had been warm since Greenwich, a low, patient heat like a hand resting on her sternum. Twenty minutes ago it had grown warmer still. She pulled it out and held it up. The crimson stone caught the moonlight and held a faint light of its own, the way embers do when the fire has gone down but not out. "Come on, then," she said quietly. "Show me." The path she had memorised from Eva's old notes ran uphill between two sycamores, then bent left where the trees thinned out. She followed it. Fallen branches cracked under her feet, loud enough that she winced at each one. The park did not seem to mind. It stayed still in the way a room stays still when someone has stopped talking. The standing stones came into view before the clearing did. Ancient oaks, their trunks split and grey, ringed a space of perhaps forty feet across. Their bark had grown over whatever carvings had once marked them. Aurora stopped at the boundary, one foot on the leaf litter and one hovering over it, and the pendant flared against her skin. She stepped through. The air changed first. It was softer, sweeter, the smell of crushed clover and rain on hot stone. Wildflowers covered the ground, foxgloves and bluebells and something pale she didn't recognise, all in full bloom. In October. Under a sky with no stars in it. She crouched and pressed two fingers to a foxglove. The petals were warm. "Right," she muttered. "That's not normal." Her phone showed no signal and the time read 11:52. She checked again five minutes later and it said 11:52 still. She thumbed the screen, then stopped, because the sound she heard came from the far side of the circle, low and wet and rhythmic, like someone chewing with their mouth open. She turned. Nothing stood between the stones but the flowers, which swayed, though no breeze touched them. "Hello?" The word fell flat. The clearing swallowed it without an echo. She stood, slowly, and counted her breaths the way she had learned to do in the flat above Silas' bar, when the boiler knocked and the old floorboards creaked under nobody's weight. Four in. Hold. Four out. The pendant pulsed again, three quick beats, and each one hit harder than the last. Whatever lay ahead, it was close to the thing she had come for. Something moved at the edge of her vision, on the left. She turned her head, too late. A shape slid behind the third stone, tall and narrow, the colour of wet bark. She saw only the outline of it before the shadow folded back into the trunk. The space it had left behind looked wrong, as if the light had bent around it and not quite straightened again. "I saw that," she said. Her voice came out thin. "I know you saw me too." Nothing answered. Then, from directly behind her, a single word in a voice that was almost her own: "Rory." She did not turn around. She had heard her own name spoken like that once before, in a kitchen in Cardiff, by a man who had wanted her to come closer. Her left wrist ached along the old crescent scar, the way it always did when she was frightened. "Don't," she said. "Don't do that." The voice laughed, softly, and the sound was wrong in a way she could not name, like a laugh recorded and played back through a broken speaker. The flowers around her feet bent all at once, pointing toward the centre of the circle, toward a patch of ground where the grass had gone black and smooth. The pendant burned now. She could feel it through her shirt, a pressure that felt less like warmth and more like a question. She pulled the chain over her head and held the stone in her palm. Its light had brightened to a deep, angry red. Behind her, the footsteps began. Slow. Barefoot, unhurried, circling the stones at exactly the distance she had stood from them. She lifted the pendant higher, and in its glow she saw that the oaks had moved closer while she was not watching.
created_at"2026-10-08T08:26:05.092Z" 10/8/2026, 8:26:05 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2431
moderation_latency(null)
generation_time13080
tokens_prompt1008
tokens_completion1238
native_tokens_prompt1482
native_tokens_completion1875
native_tokens_completion_images(null)
native_tokens_reasoning435
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"end_turn"
service_tier"default"
usage0.0010857
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791447965-VQbKq9MRaGOS79uVOSo5"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791447965-W0NFSDdTqt2bU9qdBlmM"
upstream_id"msg_011CfpT8u76BdJDfQiRHUNCp"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpT8u76BdJDfQiRHUNCp"
is_byokfalse
latency862
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.0010857
cache_discount(null)
upstream_inference_cost0
provider_name"Claude Platform on AWS"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags5
adverbTagCount2
adverbTags
0"she said quietly [quietly]"
1"She stood slowly [slowly]"
dialogueSentences10
tagDensity0.5
leniency1
rawRatio0.4
effectiveRatio0.4
87.21% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount782
totalAiIsmAdverbs2
found
0
adverb"slowly"
count1
1
adverb"softly"
count1
highlights
0"slowly"
1"softly"
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)
55.24% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount782
totalAiIsms7
found
0
word"rhythmic"
count1
1
word"echo"
count1
2
word"weight"
count1
3
word"pulsed"
count1
4
word"could feel"
count1
5
word"warmth"
count1
6
word"footsteps"
count1
highlights
0"rhythmic"
1"echo"
2"weight"
3"pulsed"
4"could feel"
5"warmth"
6"footsteps"
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
narrationSentences65
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences65
filterMatches(empty)
hedgeMatches
0"seem to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences70
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords782
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions12
wordCount744
uniqueNames10
maxNameDensity0.27
worstName"Aurora"
maxWindowNameDensity1
worstWindowName"Four"
discoveredNames
Aurora2
Sheen1
Road1
Heartstone1
Pendant1
Greenwich1
Eva1
October1
Four2
Cardiff1
persons
0"Aurora"
1"Pendant"
2"Eva"
places
0"Sheen"
1"Road"
2"Greenwich"
3"October"
4"Cardiff"
globalScore1
windowScore1
94.44% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences45
glossingSentenceCount1
matches
0"not quite straightened again"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount782
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences70
matches
0"saw that the"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs23
mean34
std24.46
cv0.719
sampleLengths
066
173
28
361
459
53
645
713
86
952
1017
111
1211
1365
1468
1516
1619
1749
186
1956
2046
2120
2222
99.87% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences65
matches
0"was frightened"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs123
matches
0"was not watching"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences70
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount429
adjectiveStacks1
stackExamples
0"lay cold against her"
adverbCount12
adverbRatio0.027972027972027972
lyAdverbCount2
lyAdverbRatio0.004662004662004662
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences70
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences70
mean11.17
std8.51
cv0.762
sampleLengths
034
16
211
36
49
58
622
78
88
927
106
112
1222
133
1414
157
1615
1710
1815
1911
2023
213
224
2314
2417
252
268
279
284
293
303
3110
3211
3331
342
3515
361
374
387
3932
402
411
422
4315
4413
4511
466
4715
4815
4921
62.38% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.44285714285714284
totalSentences70
uniqueOpeners31
60.61% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences55
matches
0"Then, from directly behind her,"
ratio0.018
45.45% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount24
totalSentences55
matches
0"Her trainers slipped on wet"
1"She caught herself on an"
2"She pulled it out and"
3"she said quietly"
4"She followed it."
5"It stayed still in the"
6"Their bark had grown over"
7"She stepped through."
8"It was softer, sweeter, the"
9"She crouched and pressed two"
10"Her phone showed no signal"
11"She checked again five minutes"
12"She thumbed the screen, then"
13"She stood, slowly, and counted"
14"She turned her head, too"
15"She saw only the outline"
16"Her voice came out thin."
17"She did not turn around."
18"She had heard her own"
19"Her left wrist ached along"
ratio0.436
23.64% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount48
totalSentences55
matches
0"The park gates had long"
1"Her trainers slipped on wet"
2"She caught herself on an"
3"Deer shifted somewhere to the"
4"A car hissed along Sheen"
5"The silver chain lay cold"
6"She pulled it out and"
7"The crimson stone caught the"
8"she said quietly"
9"The path she had memorised"
10"She followed it."
11"The park did not seem"
12"It stayed still in the"
13"The standing stones came into"
14"Their bark had grown over"
15"Aurora stopped at the boundary,"
16"She stepped through."
17"The air changed first."
18"It was softer, sweeter, the"
19"Wildflowers covered the ground, foxgloves"
ratio0.873
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences55
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences31
technicalSentenceCount1
matches
0"She could feel it through her shirt, a pressure that felt less like warmth and more like a question."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount0
matches(empty)
50.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"she muttered (mutter)"
dialogueSentences10
tagDensity0.4
leniency0.8
rawRatio0.25
effectiveRatio0.2
82.4281%