Run: 2026-02-24-01KJ8WDTCQ52XXX22XXW39T66M

Run Details

Model:
Aion 2.0
Duration:
52.9s
Cost:
$0.004195
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="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <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> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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 rain fell in relentless sheets, turning the London streets into a black mirror of neon and sodium vapour. Detective Harlow Quinn’s boots slapped against the slick pavement, each stride a controlled explosion of motion. Ahead, a dark figure—a man in a soaked leather jacket—darted around the corner onto Dean Street. The green neon sign of The Raven’s Nest bled colour into the wet air as she passed it, a momentary smear of emerald in her periphery. She didn’t break stride. Eighteen years of service, three since Morris, had sanded her patience down to a sharp point. This one, this runner, was connected. She’d seen him outside the warehouse in Wapping, the one that reeked of ozone and burnt copper. He’d been talking to a woman with eyes that held no reflection. Now he was running, and that was all the confirmation she needed. Her breath came in sharp clouds. The salt-and-pepper crop of her hair was plastered to her skull. The worn leather band of her watch was a sodden weight on her left wrist. She pushed harder, her movements retaining the military precision drilled into her at Hendon. The man glanced back, his face a pale oval under a streetlamp. Fear there, yes, but something else—a calculation. He cut left into a narrow alleyway choked with overflowing bins. Quinn followed, the smell of wet garbage and decay hitting her like a wall. The alley opened onto a broader service road. The runner was already halfway down, heading north. Towards Camden. Quinn dug deep, her thighs burning. She was gaining. The gap closed to twenty feet, then fifteen. The man skidded to a halt at a rusted iron gate set into a brick archway. He fumbled in his jacket pocket, pulled out a small, pale object. Even from a distance, Quinn recognized the shape—a human knuckle bone, drilled and threaded on a cord. A token. The codex entry flashed in her mind. *The Veil Market. Entry requirement: bone token.* He shoved the bone into a crevice beside the gate. A section of the brick wall shimmered, like heat haze over asphalt, and he stepped through. The wall solidified behind him. Quinn reached the gate five seconds later. She placed a hand against the cold, wet brick. Solid. Unyielding. She examined the crevice—a narrow, almost invisible slot. Empty. She stood there, rain coursing down the sharp line of her jaw. The decision crystallised with the cold clarity of the downpour. Follow him in. She had no token. She didn’t know the rules, the dangers, the entities that frequented a black market for the supernatural. Morris had vanished chasing a lead that smelled like this—wrong, off-kilter, *other*. The official report called it a disappearance. Quinn called it a theft. She still woke some nights feeling the ghost of his hand on her shoulder, the last time she saw him alive, telling her to drop it. She could turn back. File a report that the suspect was lost in the Camden warren. No one would question it. The case would grow cold, another oddity buried in the Met’s basement archives. Her fingers traced the scar on her left forearm, a reminder of a different kind of violence, straightforward and human. This was different. This was the shadow world that had taken Morris. This was the source of the clique’s power, the reason ordinary crimes had extraordinary explanations. A memory surfaced. Tomás Herrera, the former paramedic with the warm brown eyes and the Saint Christopher medallion. He’d patched up a kid from the Estates last year, no questions asked. When she’d pressed him, he’d just smiled, tired. “Some wounds, Detective, don’t show up on an X-ray.” He knew things. He might even be down there now, in that market, tending to clients who weren’t entirely human. She could find him. Use him as a guide. Or she could walk in blind. Quinn’s hand went to her hip, to the familiar weight of her service weapon. It felt absurdly inadequate. What good was a nine-millimeter against things that needed bone tokens for entry? The rain slackened to a drizzle. A distant siren wailed, a sound from the normal world, the world of procedure and paperwork and pension plans. The brick wall before her promised the opposite—chaos, truth, maybe death. She made her choice. She wouldn’t go in unprepared. She needed a token. The runner had one. Others would too. This was an entrance. They had to come out. Quinn moved back, melting into the deeper shadow of a recessed doorway across the service road. She unzipped her sodden jacket, letting the cold air bite through her shirt. She settled into a watchful crouch, her eyes fixed on the shimmering patch of brick. The worn leather of her watch strap dug into her skin. She would wait. She would watch. And when the next patron of the Veil Market arrived, she would get what she needed to follow her suspect down into the dark.
created_at"2026-02-24T22:30:58.208Z" 2/24/2026, 10:30:58 PM
model"aion-labs/aion-2.0-20260223"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1855
moderation_latency(null)
generation_time52888
tokens_prompt1140
tokens_completion2428
native_tokens_prompt1106
native_tokens_completion2069
native_tokens_completion_images(null)
native_tokens_reasoning1175
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0041952
router(null)
provider_responses
0
endpoint_id"1e93b0bb-eb0f-49bc-8fda-947105413b86"
id"55fd37e5-5727-4b78-828c-53fc45d41e98"
is_byokfalse
latency109
model_permaslug"aion-labs/aion-2.0-20260223"
provider_name"AionLabs"
status200
api_type"completions"
id"gen-1771972258-IWUnpZWLCqyDZ8lBucp6"
upstream_id"55fd37e5-5727-4b78-828c-53fc45d41e98"
total_cost0.0041952
cache_discount(null)
upstream_inference_cost0
provider_name"AionLabs"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences1
tagDensity1
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount836
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)
64.11% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount836
totalAiIsms6
found
0
word"weight"
count2
1
word"shimmered"
count1
2
word"traced"
count1
3
word"reminder"
count1
4
word"familiar"
count1
highlights
0"weight"
1"shimmered"
2"traced"
3"reminder"
4"familiar"
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
narrationSentences86
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences86
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences86
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen26
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords8
totalWords829
ratio0.01
matches
0"The Veil Market. Entry requirement: bone token."
1"other"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions30
wordCount820
uniqueNames18
maxNameDensity0.98
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
London1
Harlow1
Quinn8
Dean1
Street1
Raven1
Nest1
Morris3
Wapping1
Hendon1
Camden2
Veil2
Market2
Met1
Herrera1
Saint1
Christopher1
Estates1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Nest"
4"Morris"
5"Camden"
6"Market"
7"Herrera"
8"Saint"
9"Christopher"
places
0"London"
1"Dean"
2"Street"
3"Wapping"
4"Hendon"
5"Met"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences56
glossingSentenceCount1
matches
0"smelled like this—wrong, off-kilter, *othe"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount829
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences86
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs21
mean39.48
std20.65
cv0.523
sampleLengths
077
167
246
344
435
561
631
727
822
93
1071
1134
1247
1368
1415
1531
1636
174
1825
1955
2030
93.02% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences86
matches
0"was connected"
1"was plastered"
2"was lost"
94.18% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs126
matches
0"was running"
1"was gaining"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences6
totalSentences86
ratio0.07
matches
0"Ahead, a dark figure—a man in a soaked leather jacket—darted around the corner onto Dean Street."
1"Fear there, yes, but something else—a calculation."
2"Even from a distance, Quinn recognized the shape—a human knuckle bone, drilled and threaded on a cord."
3"She examined the crevice—a narrow, almost invisible slot."
4"Morris had vanished chasing a lead that smelled like this—wrong, off-kilter, *other*."
5"The brick wall before her promised the opposite—chaos, truth, maybe death."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount831
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.019253910950661854
lyAdverbCount2
lyAdverbRatio0.0024067388688327317
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences86
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences86
mean9.64
std5.91
cv0.613
sampleLengths
019
116
216
326
44
516
66
717
812
912
106
1111
1215
1314
1412
157
1611
1714
188
198
202
216
223
238
2416
2512
2617
272
287
293
304
3110
3216
335
347
359
361
371
388
391
4012
4110
423
434
4417
4512
467
475
4826
494
48.06% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.37209302325581395
totalSentences86
uniqueOpeners32
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences81
matches(empty)
ratio0
71.85% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences81
matches
0"She didn’t break stride."
1"She’d seen him outside the"
2"He’d been talking to a"
3"Her breath came in sharp"
4"She pushed harder, her movements"
5"He cut left into a"
6"She was gaining."
7"He fumbled in his jacket"
8"He shoved the bone into"
9"She placed a hand against"
10"She examined the crevice—a narrow,"
11"She stood there, rain coursing"
12"She had no token."
13"She didn’t know the rules,"
14"She still woke some nights"
15"She could turn back."
16"Her fingers traced the scar"
17"He’d patched up a kid"
18"He knew things"
19"He might even be down"
ratio0.37
40.25% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount68
totalSentences81
matches
0"The rain fell in relentless"
1"Detective Harlow Quinn’s boots slapped"
2"The green neon sign of"
3"She didn’t break stride."
4"This one, this runner, was"
5"She’d seen him outside the"
6"He’d been talking to a"
7"Her breath came in sharp"
8"The salt-and-pepper crop of her"
9"The worn leather band of"
10"She pushed harder, her movements"
11"The man glanced back, his"
12"He cut left into a"
13"Quinn followed, the smell of"
14"The alley opened onto a"
15"The runner was already halfway"
16"Quinn dug deep, her thighs"
17"She was gaining."
18"The gap closed to twenty"
19"The man skidded to a"
ratio0.84
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences81
matches
0"Now he was running, and"
1"Even from a distance, Quinn"
ratio0.025
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences40
technicalSentenceCount1
matches
0"Morris had vanished chasing a lead that smelled like this—wrong, off-kilter, *other*."
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
87.0493%