Run: 2026-07-07-01KWZ3WCFA3ED2SDWE632V8Z9W

Run Details

Model:
Aion 3.0
Duration:
37.3s
Cost:
$0.014868
Provider:
AionLabs

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="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
The metal gate groaned on its hinges as Harlow ducked beneath the yellow crime-scene tape. Cool air rushed up from the tunnel below, carrying the damp mineral smell of old brick and stagnant water. Her torch cut a white cone through the darkness as she descended the curved staircase, each step worn smooth in the centre from a century of commuters who would never ride these trains again. The abandoned Tube station spread before her like a cathedral of neglect. Arched tile walls, once gleaming white, had yellowed to the colour of old teeth. A clock face hung askew above the platform, its hands frozen at 3:47. Somewhere deeper in the tunnel, water dripped in a slow, arrhythmic pattern. "Down here, Quinn." The voice echoed off the tiles. Harlow followed it along the platform, past a row of benches with their wooden slats splintered and gutted, until she reached the yellow pools of portable floodlights. DCI Renner stood with his arms folded, his broad frame casting a long shadow across the tracks. Two forensic techs in white suits crouched beside a shape on the platform edge. "What've we got?" Harlow crouched beside the nearest floodlight, its harsh glow painting her sharp features in stark relief. The salt-and-pepper of her close-cropped hair caught the light as she tilted her head to examine the scene. "Male, mid-thirties, no ID." Renner gestured with his chin. "Found by a couple of urban explorers around midnight. They called it in from above." The body lay on its back, arms spread wide, palms up. The man wore a dark wool coat over a charcoal suit. No visible wounds. No blood. His face held an expression of perfect calm — eyes closed, lips slightly parted, as if he had simply lain down and stopped. "He's not a vagrant," Harlow said. "No. Clean shoes, recent haircut, quality tailoring." Renner pulled a notepad from his coat. "We're thinking overdose. Heroin, maybe fentanyl. You know how it is — the quiet ones, they just lie down and go." Harlow leaned closer. The man's skin had a strange quality. Not the blue-grey of hypoxia, not the waxy pallor of lividity. It looked almost translucent, as if the flesh beneath had thinned. She clicked on her torch and played it across his hands. "No track marks." "He could have snorted it. Or swallowed." "Maybe." She rose and stepped around the body, her worn leather watch catching on the edge of her sleeve. "What about the witnesses?" "Two kids, early twenties. thrill-seekers. They said they came down here looking for 'abandoned London.' Found him like this, called 999 from the surface." Renner shrugged. "No sign of a struggle, no sign of anyone else. Clean scene." "Too clean." Harlow walked a slow circuit of the area, her torch sweeping across the tiles. The platform stretched thirty metres in either direction, the tracks disappearing into black tunnels at both ends. Rubble and debris had collected in the corners — crisp packets, spray cans, a child's shoe. But around the body, a radius of perhaps five metres, the platform was spotless. Not a speck of dust. Not a single piece of litter. "Someone cleaned this." Renner frowned. "The techs haven't finished processing." "I'm not talking about forensics. Look at the floor." Harlow swept her torch in a wide arc. "Litter everywhere — except here. Around the body, it's been swept. Someone took time to make this look untouched." A forensic tech glanced up from her work. "She's right, guv. There's a clear boundary. Dust patterns show sweeping, recent." Renner's jaw tightened. "So someone was here with him. Doesn't mean it wasn't an overdose. Could have been a companion who panicked." "Then why sweep? Why not just run?" Harlow crouched again, this time beside the man's coat. She unbuttoned it carefully, spreading the fabric open. The suit jacket beneath was pristine. White shirt, no stains, no marks. She checked the inside pockets. Empty. She checked the coat. Empty. "No wallet, no phone, no keys, no watch." She looked up at Renner. "You said he was found by urban explorers." "That's what they told us." "Did they have anything on them? The body, I mean. Was anything lying beside him, anything at all?" Renner consulted his notepad. "A bone. Small one, like a chicken bone. The techs logged it. Assumed it was rubbish." Harlow stood. "Where is it?" One of the forensic techs produced an evidence bag. Inside sat a small, yellowed bone, no longer than a finger, carved with markings too fine to read in the poor light. Harlow held the bag up to the floodlight. The markings were not English. They were not any alphabet she recognised, but she had seen their like before — in DS Morris's notebook, three years ago, in the weeks before he died. "Renner, this wasn't an overdose." "Then what was it?" She ignored him and turned in a slow circle, scanning the platform walls. Behind a pile of broken benches near the east tunnel entrance, something caught her torch. A faint discoloration on the tiles, a pattern too regular to be random. She walked toward it. The closer she got, the clearer it became — a symbol painted on the wall in something darker than paint. A circle with spokes radiating inward, and at its centre, a shape that could have been an eye. "Who has access to this station?" Harlow asked. Renner followed her, his shoes crunching on debris. "Officially? No one. Transport for London sealed it in 2006. Unofficially, anyone with a crowbar and no sense." "Has anyone checked the tunnels?" "We cordoned off both ends. Uniforms are posted topside." "Then no one's gone in." She shone her torch into the east tunnel. The beam vanished into a darkness so complete it seemed to swallow light. "Something down there. Or someone." "Quinn, it's a crime scene, not an expedition. We process what's in front of us." She pointed the torch at the symbol on the wall. "That is in front of us. That and the bone. The lack of ID. The swept floor. None of this says overdose. It says ritual." Renner laughed, but the sound fell flat against the tiles. "A ritual? In an abandoned Tube station?" "People do strange things in forgotten places." He studied her face. "You've got that look. The one you had on the Hammersmith case. What aren't you telling me?" She didn't answer. Instead, she crouched beside the body once more, lifting the man's right hand. The fingers were relaxed, uncurled, and on the palm, she found it — a faint marking in the same dark substance as the wall symbol. A smaller circle, fewer spokes, but the same eye at its centre. "He was marked. All of this was planned." She stood and faced Renner. "I need the tunnels searched. Both of them. Properly, with lights. And I need those witness statements again — I want to know exactly what those kids saw before they found the body." "It's the middle of the night." "Then we wait for morning. But I want this scene locked down. No one in, no one out. And that bone goes to the lab first thing — I want to know what those markings are." Renner rubbed the back of his neck. "And what do I put in the report? Cause of death?" "Unknown." Harlow looked at the body, at its calm face and translucent skin, and felt the familiar chill that had settled in her chest three years ago and never quite left. "Pending further investigation."
created_at"2026-07-07T20:21:31.26Z" 7/7/2026, 8:21:31 PM
model"aion-labs/aion-3.0-20260707"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency659
moderation_latency(null)
generation_time37075
tokens_prompt1149
tokens_completion2243
native_tokens_prompt1022
native_tokens_completion1967
native_tokens_completion_images(null)
native_tokens_reasoning341
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"stop"
service_tier(null)
usage0.014868
router(null)
provider_responses
0
endpoint_id"8c8f827d-2bef-468a-8f9e-8e27b470de5e"
id"cdf621b269aa43ccb4a3e7a584731244"
is_byokfalse
latency659
model_permaslug"aion-labs/aion-3.0-20260707"
provider_name"AionLabs"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783455691-ccfCtBrIDiOCFnXyTYZA"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783455691-6fUZhW3eeEuELWTx72ES"
upstream_id"cdf621b269aa43ccb4a3e7a584731244"
total_cost0.014868
cache_discount(null)
upstream_inference_cost0
provider_name"AionLabs"
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
totalTags14
adverbTagCount1
adverbTags
0"Harlow crouched again [again]"
dialogueSentences47
tagDensity0.298
leniency0.596
rawRatio0.071
effectiveRatio0.043
92.01% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1252
totalAiIsmAdverbs2
found
0
adverb"slightly"
count1
1
adverb"carefully"
count1
highlights
0"slightly"
1"carefully"
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)
64.06% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1252
totalAiIsms9
found
0
word"gleaming"
count1
1
word"echoed"
count1
2
word"long shadow"
count1
3
word"stark"
count1
4
word"perfect"
count1
5
word"pristine"
count1
6
word"scanning"
count1
7
word"familiar"
count1
8
word"chill"
count1
highlights
0"gleaming"
1"echoed"
2"long shadow"
3"stark"
4"perfect"
5"pristine"
6"scanning"
7"familiar"
8"chill"
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
narrationSentences74
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences74
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences107
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1261
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
74.34% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions27
wordCount793
uniqueNames5
maxNameDensity1.51
worstName"Harlow"
maxWindowNameDensity2.5
worstWindowName"Harlow"
discoveredNames
Harlow12
Tube1
Renner12
English1
Morris1
persons
0"Harlow"
1"Renner"
2"Morris"
places(empty)
globalScore0.743
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences52
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.793
wordCount1261
matches
0"not any alphabet she recognised, but she had seen their like before"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences107
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs49
mean25.73
std17.76
cv0.69
sampleLengths
068
151
23
333
431
537
624
750
86
935
1043
113
127
1323
1438
1574
163
177
1836
1920
2022
2147
2221
235
2418
2520
265
2731
2841
295
304
3141
3242
338
3426
355
369
3731
3815
3935
4017
417
4221
4353
4446
456
4636
4718
4834
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences74
matches
0"were relaxed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs114
matches(empty)
9.35% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences5
totalSentences107
ratio0.047
matches
0"His face held an expression of perfect calm — eyes closed, lips slightly parted, as if he had simply lain down and stopped."
1"Rubble and debris had collected in the corners — crisp packets, spray cans, a child's shoe."
2"They were not any alphabet she recognised, but she had seen their like before — in DS Morris's notebook, three years ago, in the weeks before he died."
3"The closer she got, the clearer it became — a symbol painted on the wall in something darker than paint."
4"The fingers were relaxed, uncurled, and on the palm, she found it — a faint marking in the same dark substance as the wall symbol."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount793
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.027742749054224466
lyAdverbCount3
lyAdverbRatio0.0037831021437578815
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences107
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences107
mean11.79
std7.72
cv0.655
sampleLengths
015
119
234
312
414
513
612
73
86
927
1017
1114
1219
1318
149
1515
1611
1711
183
192
2023
216
2214
2321
243
257
2611
2711
2811
293
307
3119
324
3326
3412
3516
3617
3716
3814
395
406
413
422
435
4417
4519
468
4712
483
4919
75.08% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.4672897196261682
totalSentences107
uniqueOpeners50
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences66
matches
0"Somewhere deeper in the tunnel,"
1"Instead, she crouched beside the"
ratio0.03
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences66
matches
0"Her torch cut a white"
1"His face held an expression"
2"It looked almost translucent, as"
3"She clicked on her torch"
4"She rose and stepped around"
5"She unbuttoned it carefully, spreading"
6"She checked the inside pockets."
7"She checked the coat."
8"She looked up at Renner"
9"They were not any alphabet"
10"She ignored him and turned"
11"She walked toward it."
12"She shone her torch into"
13"She pointed the torch at"
14"He studied her face."
15"She didn't answer."
16"She stood and faced Renner"
ratio0.258
73.64% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount51
totalSentences66
matches
0"The metal gate groaned on"
1"Her torch cut a white"
2"The abandoned Tube station spread"
3"A clock face hung askew"
4"The voice echoed off the"
5"Harlow followed it along the"
6"Harlow crouched beside the nearest"
7"The salt-and-pepper of her close-cropped"
8"Renner gestured with his chin"
9"The body lay on its"
10"The man wore a dark"
11"His face held an expression"
12"Renner pulled a notepad from"
13"Harlow leaned closer."
14"The man's skin had a"
15"It looked almost translucent, as"
16"She clicked on her torch"
17"She rose and stepped around"
18"Harlow walked a slow circuit"
19"The platform stretched thirty metres"
ratio0.773
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences66
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
technicalSentenceCount1
matches
0"Her torch cut a white cone through the darkness as she descended the curved staircase, each step worn smooth in the centre from a century of commuters who would…"
53.57% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount2
matches
0"Harlow crouched, its harsh glow painting her sharp features in stark relief"
1"Harlow walked, her torch sweeping across the tiles"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences47
tagDensity0.043
leniency0.085
rawRatio0
effectiveRatio0
88.0680%