Run: 2026-09-24-01M39VK1M49Z91JGDV24B2RQQ1

Run Details

Duration:
1m 19s
Cost:
$0.005875
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 stairs to Haverstock Wells station smelled of rust and wet plaster. Detective Harlow Quinn took them one at a time, her torch cutting through the dark until the floodlights below swallowed it. Eighteen years of crime scenes had taught her to read a place before she read a body, and this place read wrong already. A disused Tube station at the bottom of a chained shaft, no power for forty years, and someone had strung work lamps along the platform like it was a film set. The dead man lay on his back between the tracks, arms at his sides, coat folded neat over his chest. Someone had arranged him. DS Marcus Okafor stood at the platform edge, boots planted wide, notebook out. "Quinn. You're going to love this one." She crouched at the yellow line and studied the man from a distance first. Expensive wool coat. Good shoes, scuffed but quality. Fifties, maybe. Face grey as the dust around him. "Talk to me." "John Doe, no wallet, no phone. Throat and wrists opened up. First guess, drug meet went sour. This station's a known spot for users, we've swept it twice this year." "First guess is wrong." "You've been down here thirty seconds." "Thirty seconds is enough. Look at his hands." Okafor leaned over the edge. The dead man's fingers were curled loose, and in his right fist sat a small white object, polished smooth. "That's a knucklebone," Okafor said. "Trinket. Users carry all sorts of—" "It's carved. Look at the grooves. Somebody spent hours on that, and it's not the kind of thing you keep in a fist unless you were holding it when you died." She stepped down onto the tracks, skirted the third rail out of habit though it had been dead for decades, and stopped two feet from the body. "And there's no blood, Marcus." Patel, the SOCO, looked up from her kit. "That's the thing, ma'am. There isn't." "Throat and both wrists opened, and the floor's dry." "Dry everywhere. We've been over every inch. No arterial spray on the tiles, no pooling under the body, nothing in the drains. And before you ask—" "Lividity." "Fixed, supine, consistent with the position he's in. He died lying right here, on his back, at least ten hours ago. Body's cold as the rails." Quinn circled the corpse once, slow, torch low. The dust lay thick as grey snow across the sleepers, and it was printed all over — rat tracks, Patel's boot marks, Okafor's. But around the body, a perfect oval of clean concrete, a metre wide, as though someone had swept it. No drag marks leading in. No scuffs from a struggle. The man's shoes touched the dust's edge and the dust didn't ripple. "He didn't walk here," she said. "Dumped, then. Carried in through the maintenance tunnel." "Carried by someone who swept the floor under him after he was dead? With lividity already setting?" She pointed at the man's throat. "And these wounds. Get in close, Patel. What do you see?" Patel came over with her magnifier and her lamp. A long pause. "They're... clean. Incised, sharp instrument, but the edges are desiccated. Like they were made days ago, except he's only been dead ten hours. And the tissue — I can't explain the tissue. There's no clotting, no inflammation. No bleeding at all, in life or after." "Exsanguinated?" "Completely. There's almost no blood left in him. Maybe a spoonful in the heart. A wound like that should have emptied six pints onto this floor." "Six pints went somewhere," Quinn said. Okafor wrote something and underlined it twice. "All right. He's killed somewhere else, drained somewhere else, brought here—" "By a ghost, through a sealed shaft." She walked to the end of the platform where the gate chain hung, padlock cut, and held her torch to the links. "The cut's on this side, Marcus. From the inside. Whoever opened this gate was already down here. And the dust on the stairs behind you is two weeks thick, no prints but ours and Patel's team." "So he came down before anyone knew, met someone—" She'd stopped listening. Fifty metres down the tunnel, past the dead man, the northbound track ran into a bricked-up wall where the line used to continue toward Belsize. Something lay on the rails near the body. Brass, small, catching her torchlight. She picked it up with a gloved hand. A compass. Verdigris had eaten green veins into the casing, and the face was etched with tiny sigils, dense as circuitry. The needle spun wild, then jerked, steadied, and pointed — not north, not at her — at the bricked wall down the tunnel. "Whose is that?" Okafor called. "That's my question." She turned the compass. The needle swung with it, then wrenched back to the wall like a dog on a leash. She turned again. Same result. "Patel, bag this. Careful. And bag his hands first — those fingertips are green." Patel leaned in. "Verdigris. Fresh transfer, on the right hand. He was holding this compass a long time before he died." "Hours. Maybe days." Quinn straightened and looked down the tunnel at the wall. "Phone?" "No phone on him," Okafor said. "Watch, then." Patel took the wrist. "Stopped at 11:47." "Autopsy estimate?" "Between twelve-thirty and two." Quinn nodded once. "So the watch stopped an hour before he died. Or something in this tunnel killed the mechanism at 11:47 and he kept breathing for another hour. Pick whichever one lets you sleep." Okafor shut his notebook. "You've got a theory. I can hear it from here." "I've got a bone token, a compass that ignores north, a body drained through wounds that never bled, a circle of clean floor in two weeks of dust, and—" she swept her torch along the tunnel wall, and the beam caught it: a ring of scorch marks on the brick, blackened in a perfect arc, three metres across, centred on the blocked tunnel mouth. "That. When was the last full moon?" Patel checked her phone. "Six days ago. The twelfth." "SOO swept this station when?" "The fourteenth. Report says all clear, no one living down here." "Two days after the full moon, and a week before a man dies here with his blood gone and his fist around a token I've seen before." Okafor went still. "Seen before?" "Three years ago. An evidence bag, drawer four, the Morris file. A white carved token, same grooves, same polish. It came off a victim who bled out in a locked room with no source for the wounds." Her thumb moved over the token in the dead man's fist, and her jaw tightened. "That file's still open. It's the only one I've never closed." She walked down the tunnel toward the scorched ring, compass in hand, and the needle pulled harder with every step, quivering against its pin. At the wall she stopped. The brick inside the scorch arc was clean, older stone, fitted without mortar. She laid her palm flat against it. Warm. The wall was warm as a cheek. "Marcus." Her voice came out level, which cost her something. "Get on the radio. I want this whole station sealed, I want the north tunnel taped off at the platform end, and I want whoever cuts our keys to bring the thermography unit. Now." "What do I tell the board? Cause of death?" She lifted her palm. The warmth stayed on her skin a moment after she pulled away. "Tell them we're treating it as a transaction, not a homicide. He paid for something, and the seller collected." She turned the compass over in her hand, verdigris green under her glove, and looked at the needle straining at the brick. "And tell them nobody touches that wall until I say so."
created_at"2026-09-24T14:02:26.324Z" 9/24/2026, 2:02:26 PM
model"aion-labs/aion-3.5-mini-20260923"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1209
moderation_latency(null)
generation_time79318
tokens_prompt1112
tokens_completion4149
native_tokens_prompt1019
native_tokens_completion3877
native_tokens_completion_images(null)
native_tokens_reasoning2263
native_tokens_cached512
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)
usage0.00587486
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790258546-wHKOw7EfvDi44QhHNvi0"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790258546-O0DWoaYJbBcloVpQTLH7"
upstream_id"bcd8e3d5bb0a43d8b08a27f85138a010"
provider_responses
0
endpoint_id"60ac3bdc-90ec-4769-9193-2c00b4d79562"
id"bcd8e3d5bb0a43d8b08a27f85138a010"
is_byokfalse
latency1209
model_permaslug"aion-labs/aion-3.5-mini-20260923"
provider_name"AionLabs"
status200
total_cost0.00587486
cache_discount0.00026624
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
totalTags14
adverbTagCount0
adverbTags(empty)
dialogueSentences54
tagDensity0.259
leniency0.519
rawRatio0
effectiveRatio0
96.15% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1299
totalAiIsmAdverbs1
found
0
adverb"completely"
count1
highlights
0"completely"
60.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Marcus"
1"Patel"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
84.60% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1299
totalAiIsms4
found
0
word"perfect"
count2
1
word"etched"
count1
2
word"warmth"
count1
highlights
0"perfect"
1"etched"
2"warmth"
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
narrationSentences63
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences63
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences103
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen64
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1304
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
80.45% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount647
uniqueNames9
maxNameDensity1.39
worstName"Okafor"
maxWindowNameDensity2.5
worstWindowName"Okafor"
discoveredNames
Haverstock1
Wells1
Harlow1
Quinn5
Tube1
Marcus1
Okafor9
Patel6
Belsize1
persons
0"Harlow"
1"Quinn"
2"Marcus"
3"Okafor"
4"Patel"
places
0"Haverstock"
1"Belsize"
globalScore0.804
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences35
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.767
wordCount1304
matches
0"no prints but"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences103
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs56
mean23.29
std21.59
cv0.927
sampleLengths
087
124
213
37
431
53
630
74
86
98
1024
1111
1263
1314
149
1526
161
1726
1872
196
208
2134
2212
2345
241
2526
266
2718
2865
299
3041
3152
325
3343
3421
3514
366
372
387
392
404
4135
4214
4371
449
455
4611
4727
485
4963
94.12% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences63
matches
0"were curled"
1"was etched"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs101
matches(empty)
87.38% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences2
totalSentences103
ratio0.019
matches
0"The dust lay thick as grey snow across the sleepers, and it was printed all over — rat tracks, Patel's boot marks, Okafor's."
1"The needle spun wild, then jerked, steadied, and pointed — not north, not at her — at the bricked wall down the tunnel."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount645
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.020155038759689922
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences103
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences103
mean12.66
std12.48
cv0.986
sampleLengths
012
121
223
331
420
54
613
77
814
93
105
112
127
133
1430
154
166
178
185
1919
205
216
2258
235
248
256
269
2726
281
2926
308
3123
3219
335
345
3512
366
378
3823
3911
409
413
4245
431
4426
456
467
4711
4829
4936
98.06% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.6019417475728155
totalSentences103
uniqueOpeners62
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences54
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount15
totalSentences54
matches
0"She crouched at the yellow"
1"She stepped down onto the"
2"She pointed at the man's"
3"She walked to the end"
4"She'd stopped listening."
5"She picked it up with"
6"She turned the compass"
7"She turned again."
8"she swept her torch along"
9"Her thumb moved over the"
10"She walked down the tunnel"
11"She laid her palm flat"
12"Her voice came out level,"
13"She lifted her palm."
14"She turned the compass over"
ratio0.278
43.33% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount45
totalSentences54
matches
0"The stairs to Haverstock Wells"
1"Detective Harlow Quinn took them"
2"A disused Tube station at"
3"The dead man lay on"
4"Someone had arranged him."
5"DS Marcus Okafor stood at"
6"She crouched at the yellow"
7"Okafor leaned over the edge."
8"The dead man's fingers were"
9"She stepped down onto the"
10"Patel, the SOCO, looked up"
11"Quinn circled the corpse once,"
12"The dust lay thick as"
13"The man's shoes touched the"
14"She pointed at the man's"
15"Patel came over with her"
16"A long pause."
17"Okafor wrote something and underlined"
18"She walked to the end"
19"She'd stopped listening."
ratio0.833
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences54
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences18
technicalSentenceCount0
matches(empty)
89.29% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount1
matches
0"she swept, and the beam caught it: a ring of scorch marks on the brick, blackened in a perfect arc, three metres across, centred on the blocked tunnel mouth"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount0
fancyTags(empty)
dialogueSentences54
tagDensity0.093
leniency0.185
rawRatio0
effectiveRatio0
87.7794%