Run: 2026-09-24-01M39VXD2TWDVGCKG91Z7A2CDK

Run Details

Duration:
3m 43s
Cost:
$0.016666
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 bolt cutters lay in the gutter with their jaws still open, and above them a station entrance boarded over before Quinn had joined the Met. SOUTH HOLLOWAY, said the ghost sign, enamel flaking from the letters one chip at a time. She stepped past the sheared padlock and followed PC Okafor down a ladder bolted into weeping brick. Ninety feet under Camden, a generator fed floodlights that turned the dead platform into a theatre. White tape across the floor. White suits moving through it. At centre stage, a man in a grey suit lay face-down beneath a departure board with no glass left in it. "Martin Hale, fifty-four." The crime scene manager, Nadia Ferreira, lifted the tape for her. "Partner at an accountancy firm in the City. Reported missing Tuesday morning." "Who found him?" "Two urban explorers. They cut in at ten for photographs, got as far as the top of those stairs, and rang 999 at ten past." Quinn crouched at the tape. The platform wore half an inch of dust — chalk, rust, forty years of it — and the dust lay smooth around the body in every direction. She leaned in close to the dead man's shoes. Black leather, polished, spotless down to the welt. "Walk me through what's wrong." "Pick a thing." Ferreira pushed her hood back. "Lividity's fixed dorsal. He's face-down. Blood pooled along his spine while he was flat on his back, which means somebody turned him hours after his heart stopped. Except—" "Except nobody walked him here." "There isn't a footprint on this platform that isn't mine or my team's. The explorers never came down the stairs. And the dust under him is undisturbed. Layered. If a thirteen-stone man was dragged across that floor, the floor is keeping it a secret." "Time of death?" "Preliminary, eight to ten hours before we cut the padlock. Which puts him here last night. In a station sealed since 1974. With dry clothes." Ferreira gestured at the walls, where condensation ran down the tiles in ropes. "Everything down here drips, Detective. His suit is bone-dry. His hair is dry." "Cause?" "Nothing. No wounds, no petechiae, no ligature marks. He looks like a man who lay down and stopped." Quinn checked her watch — 1:47, the leather strap cracked where it always cracked — and walked the length of the tape. The right fist was clenched. Inside it, photographed in situ an hour ago, sat a token the length of a finger: bone, carved, white as a tooth. The ladder creaked behind her. A woman came down it sideways, one hand gripping the rails, a leather satchel banging against her hip. Round glasses, already fogging in the wet air. Curly red hair escaping from under a wool hat. "Dr. Kowalski." "Detective Quinn." Eva Kowalski pushed her glasses up her nose and blinked at the platform. "You said on the phone it matched the one in your evidence box. I assumed a prank. Or a mistake." "I don't make either." Eva knelt, gloved, and lifted the token from its bag with tweezers. She turned it under the floodlight, then produced a loupe from the satchel and bent lower. "There are no tool marks." She tugged a curl behind her left ear, then did it again. "Bone doesn't carve like this. Under magnification you'd see striations, chattering where the blade skipped. This is smooth. It's as if the design grew in the grain." "What does the design mean?" "A spiral with a pupil. It's a door marker. But that's — no. Let's be sensible." Eva sat back on her heels. "This is staging. A wealthy victim, a theatrical little tableau. There are workshops that will carve you bone tokens and age them with teabags. Cults adore this sort of thing. It's cheaper than a proper killer and it terrifies the right kind of juror." "You wrote a report for me once, Dr. Kowalski. Two years ago. You told me a token like this one was carved bone and nothing else." "And that's all I could prove." Green eyes came up to meet hers. "Sensible ends where this token begins, Detective. I'm sorry. It's old. Or it was never made by a workshop at all." Ferreira joined them, holding a second evidence bag. "There's this, as well. Inside pocket of his jacket." A compass the size of a matchbox. Brass, green with verdigris, the face ringed with etched symbols that matched nothing on the token. The needle pressed against the glass, quivering, aimed down the length of the platform. "Brass toy," Ferreira said. "It's pointing at several tons of steel plate. That's what magnets do." "Show me the plate." Ferreira led her to the north end. The old tunnel mouth was sealed behind a riveted steel sheet, stamped L.T. 1972, bolted flush into the brick. The needle held its line to it the whole way down the platform. Quinn unclipped her torch — steel barrel — and swept it around the compass in slow circles. The needle didn't twitch. She turned her body ninety degrees, compass level in her palm. Still the plate. "That's not magnetism," she said. "No," Eva said, quiet now. "That's attunement. There are references — a compass that finds thin places. Doors." She looked from the instrument to the token in her tweezers. "And these are admission pieces. There's a market that trades under London. It sells things that shouldn't be sold. It moves every full moon — new site each time, and you don't get through the door without carrying one of these." "Last night was the full moon." "Last night was the full moon." "And tonight it's behind that plate, if the needle's honest." Quinn stood in front of the steel sheet and laid her palm flat against it. Warm. Everything in this station was cold except the riveted steel, which sat against her hand like a window with a fire on the far side. "Run it for me, Detective." Ferreira had her notebook out. "Man goes missing Tuesday. Turns up dead in a locked station. Where's your scene?" "Two scenes." Quinn kept her hand on the plate. "Hale died eight to ten hours ago, somewhere dry, somewhere he was lying on his back. He wasn't carried here — the dust is untouched, and a man carrying a body leaves a trail in that much silt whether he means to or not. His shoes never touched this platform. His clothes never touched this air." She turned. "He came through that wall. The token in his hand was his ticket, and it's as clean as the hour it was cut. Whatever killed him, it didn't kill him here. It killed him on the other side of a door, and the door let him fall through anyway." Eva had gone very still. "Detective Quinn. The token from your evidence box. Your partner's. Was he found somewhere like this?" "A lift shaft." The words came out flat, worn smooth from three years of saying them. "Sealed since the eighties. The file on his death runs four hundred pages and explains nothing. It doesn't explain the dust on the wrong side of the shaft door. It doesn't explain why his watch was warm." The compass needle trembled against its glass, patient as a finger tapping a map, and pointed at the wall.
created_at"2026-09-24T14:08:05.739Z" 9/24/2026, 2:08:05 PM
model"aion-labs/aion-3.5-mini-20260923"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2476
moderation_latency(null)
generation_time222381
tokens_prompt1112
tokens_completion12784
native_tokens_prompt1019
native_tokens_completion11773
native_tokens_completion_images(null)
native_tokens_reasoning11028
native_tokens_cached1019
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)
usage0.01666562
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790258886-LrvWOI3sX5JEIIAwOpjI"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790258886-JmvauOHZBLp1CqBzcBGZ"
upstream_id"f95f6b98ea0c4352bb573c7401d54ae2"
provider_responses
0
endpoint_id"60ac3bdc-90ec-4769-9193-2c00b4d79562"
id"f95f6b98ea0c4352bb573c7401d54ae2"
is_byokfalse
latency2423
model_permaslug"aion-labs/aion-3.5-mini-20260923"
provider_name"AionLabs"
status200
total_cost0.01666562
cache_discount0.00052988
upstream_inference_cost0
provider_name"AionLabs"
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
totalTags15
adverbTagCount1
adverbTags
0"Eva sat back [back]"
dialogueSentences45
tagDensity0.333
leniency0.667
rawRatio0.067
effectiveRatio0.044
95.88% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1214
totalAiIsmAdverbs1
found
0
adverb"very"
count1
highlights
0"very"
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)
91.76% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1214
totalAiIsms2
found
0
word"etched"
count1
1
word"trembled"
count1
highlights
0"etched"
1"trembled"
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
narrationSentences52
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences52
filterMatches
0"watch "
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences82
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen57
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1224
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
88.49% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions24
wordCount569
uniqueNames9
maxNameDensity1.23
worstName"Ferreira"
maxWindowNameDensity2
worstWindowName"Ferreira"
discoveredNames
Quinn6
Met1
Okafor1
Camden1
Nadia1
Ferreira7
Kowalski1
Eva5
Green1
persons
0"Quinn"
1"Nadia"
2"Ferreira"
3"Kowalski"
4"Eva"
5"Green"
places(empty)
globalScore0.885
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences37
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1224
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences82
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs42
mean29.14
std23.51
cv0.807
sampleLengths
059
147
226
33
425
549
65
736
85
944
103
1151
121
1318
1449
1540
162
1735
184
1928
2044
215
2266
2326
2434
2517
2637
2716
284
2939
3035
315
3270
336
346
3510
3641
3724
38116
3921
4053
4119
98.52% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences52
matches
0"was clenched"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs93
matches(empty)
38.33% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences3
totalSentences82
ratio0.037
matches
0"The platform wore half an inch of dust — chalk, rust, forty years of it — and the dust lay smooth around the body in every direction."
1"Quinn checked her watch — 1:47, the leather strap cracked where it always cracked — and walked the length of the tape."
2"Quinn unclipped her torch — steel barrel — and swept it around the compass in slow circles."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount564
adjectiveStacks0
stackExamples(empty)
adverbCount10
adverbRatio0.01773049645390071
lyAdverbCount1
lyAdverbRatio0.0017730496453900709
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences82
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences82
mean14.93
std11.61
cv0.778
sampleLengths
026
116
217
316
45
55
621
714
812
93
1025
115
1227
139
148
155
168
1728
185
1944
203
2138
2213
231
2418
2522
265
2722
285
2918
308
319
322
3315
3420
354
3612
3716
3817
3927
405
4122
4244
4326
4413
4521
468
479
487
4916
97.56% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.6219512195121951
totalSentences82
uniqueOpeners51
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences48
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount6
totalSentences48
matches
0"She stepped past the sheared"
1"She leaned in close to"
2"She turned it under the"
3"She tugged a curl behind"
4"She turned her body ninety"
5"She looked from the instrument"
ratio0.125
85.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount36
totalSentences48
matches
0"The bolt cutters lay in"
1"She stepped past the sheared"
2"The crime scene manager, Nadia"
3"Quinn crouched at the tape."
4"The platform wore half an"
5"She leaned in close to"
6"Ferreira pushed her hood back"
7"Ferreira gestured at the walls,"
8"Quinn checked her watch —"
9"The right fist was clenched."
10"The ladder creaked behind her."
11"A woman came down it"
12"Eva Kowalski pushed her glasses"
13"Eva knelt, gloved, and lifted"
14"She turned it under the"
15"She tugged a curl behind"
16"Eva sat back on her"
17"Ferreira joined them, holding a"
18"A compass the size of"
19"Brass, green with verdigris, the"
ratio0.75
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences48
matches(empty)
ratio0
71.43% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences20
technicalSentenceCount2
matches
0"Ninety feet under Camden, a generator fed floodlights that turned the dead platform into a theatre."
1"Everything in this station was cold except the riveted steel, which sat against her hand like a window with a fire on the far side."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags15
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences45
tagDensity0.067
leniency0.133
rawRatio0
effectiveRatio0
88.8988%