Run: 2026-09-23-01M37P6GV5BNYKFCNKZ7KX498E

Run Details

Duration:
53.6s
Cost:
$0.017581
Provider:
AionLabs

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
The ladder down into the disused station smelled of wet iron and older things. Detective Harlow Quinn took the rungs one at a time, gloved hand testing each before she trusted it, and stepped off into a darkness that the work lights had beaten back only partway. Eighteen years in the Met had taken her into canal flats and penthouses, into a squat where the ceiling had been wallpapered with missing-person flyers, into a morgue van that had lost refrigeration in August. It had never once taken her here — a sealed Tube station beneath Camden, dead since before she was born, its platforms still bearing the ghost of a mosaic no one had bothered to steal. "Down here, guv." DS Nadia Osei's voice carried along the curve of the tunnel, flattened by the tile. "Mind the third rail. Dead since the sixties, but you know what I think about assurances." Quinn found her beneath the work lights, beside the body. He was mid-forties, perhaps, though the cold had made a guess of it. The man lay on his back across the dead rails, arms at his sides, dressed in a good coat gone wrong — charcoal wool, expensive, hemmed with frost. Actual frost. It was the nineteenth of June. The air around the body hung ten degrees colder than the air three metres away, and Quinn felt the boundary of it pass across her face like the skin on cooling milk. "Who found him?" "Network Rail survey team. They're doing structural assessments on the deep tunnels." Osei flipped her notebook open. "Contractor shone his torch down the platform, saw what he thought was a shop dummy. Got closer. Wasn't a dummy." "Cause of death?" "Single puncture wound, left of the sternum. Thin blade, deep. But here's the thing—" Osei crouched, careful of the frost line, and indicated the coat's front with her pen. "No blood. Not on the shirt, not on the coat, not pooled under him. It's like the wound happened somewhere else and he walked here to die. Pathologist's on the surface having a row with the access hatch. She says the tissue around the wound is frozen. Frozen, guv. In June. In a sealed tunnel." Quinn said nothing. She had learned long ago that silence made a scene talk. She walked the body's perimeter slowly, hands clasped behind her back, and let her eyes do the arithmetic. The first number that wouldn't balance was his shoes. Brown leather, well kept, and clean — not clean like a man who polished them, clean like a man who had not walked anywhere. The tunnel floor was a century of grit and weep-water and rodent dust. She had climbed down through sixty metres of it and her boots wore the evidence. His soles wore nothing. He had not come down the tunnel. He had arrived at this spot the way frost arrives — without footsteps. "You've got a reading?" she asked. "Reading of what?" "Whatever your theory is. Give it to me straight." Osei stood, dusting her knees. "Squatter dispute, most likely. There's a community down here, or there was — CSOs have logged rough sleepers in the connecting tunnels before. Somebody got into an argument over territory, one of them had a blade, our man ran and didn't make it. The cold spot — I don't know, burst pipe, chemical spill, some old coolant line the survey team missed. The frozen tissue, I'll leave to the pathologist. The no-blood thing is odd, but bodies do odd things." "His shoes are clean, Nadia." "Maybe he was carried." "Then his coat would be scuffed where he was dragged. It isn't. And nobody carries a body a kilometre down a sealed tunnel to lay it out straight as a parade ground. Look at him. Arms at his sides. Somebody tidied him." Osei looked. Quinn watched her colleague's certainty develop a hairline crack, and pressed on it gently. She moved up the platform, away from the lights, following the tunnel wall with her torch. The brickwork here was original Victorian, black with soot and time — except where it wasn't. Four metres past the body, a section of wall perhaps two metres wide sat subtly wrong. The mortar was pale. New. She swept the torch across it and the beam caught a fine scatter of dust on the floor at its base, laid in a crescent, as if a door had been opened and the opening had swept the floor like a broom. "Repointed," Osei said, coming up behind her. "Structural work. The survey team—" "Look at which side the dust is on." Quinn crouched. "The mortar's been pushed through from behind. The excess is on this face, but the dust on the floor — that's not mortar dust, that's a century of tunnel grime, and it's been swept outward, toward us. If workmen bricked this up from the tunnel side, the mess would be on top of the old dirt, not the old dirt pushed aside." She ran her gloved finger along the wall and held it up. Fresh mortar, still faintly damp at the joint. "This wall was opened last night. From the other side. And closed again this morning." Osei was quiet for a moment. "From the other side of what? There's nothing behind this. The tunnel map's got a blank. It's solid earth for half a kilometre." "I know," Quinn said, and meant: that's what frightens me. She walked back to the body, thinking of the frost, of the tidied arms, of the clean shoes, and knelt — carefully, outside the cold line — to look at the victim's hands. The right was empty. The left was a fist. She signalled the SOCO over and they photographed it, prised it open, and shook out into an evidence tray a small yellowed disc of bone, drilled through and carved with a lattice of symbols she didn't recognise. A token. A ticket. And beneath the body, half-hidden under the fold of the coat, something else caught her torch. She lifted the coat hem with a swab. A small brass compass lay against the dead man's hip where it had slipped from his pocket. Verdigris greened its casing. Its face was etched with sigils that matched the bone token's, fine as engraver's art, and its needle — she leaned close — was not pointing north. It was pointing, with the fixed attention of a compass in every other respect behaving perfectly, directly at the repointed wall. She took out her own compass, a steel-and-glass thing she'd carried since her probationary year, and held both side by side. Hers swung to magnetic north. The brass one strained toward the brickwork like a dog that has heard its master's step two streets away. She rotated it. The needle rotated with her and settled, patient and insistent, back on the wall. "That's broken," Osei said. "It's not broken. It's calibrated to something that isn't north." Quinn bagged it herself, wrote the exhibit label in her neat, square hand, and did not say what she was thinking, which was: last night was a full moon, and this wall was open last night, and this man came out of it wearing clean shoes and carrying a bone ticket he never got to spend — or got to spend, and was paying for it now. The victim's effects, when the SOCOs went through them, held a wallet with no cash but a great deal of nothing — no cards, no ID, the paper strips where cards had been cut out with scissors, precisely. And one card that had been left. A British Museum staff card, soft with handling, and on the back, in pencil, a name and a number: *Eva Kowalski — restricted archives — ask about the compass.* Quinn read it twice. The compass was in her evidence bag at her hip, and through the plastic she could feel — this was absurd, she was tired, it was four in the morning — a faint coldness where the brass pressed against her. "You still think squatters," she said to Osei, pocketing the card. "I think," Osei said slowly, "that I'd like to go topside now, guv." "Go. I'll follow." Quinn stood alone on the dead platform a moment longer, torch off, letting the dark press in. The cold around the body breathed against her face. Three years ago, in a warehouse in Silvertown, she had stood in a cold just like this one, over a scene that added up to nothing, and Morris had gone through a door she never found, and the frost on the brick had melted by morning, and the case had closed itself like a mouth. She looked at the wall. The wall looked back, mortared shut, keeping whatever it kept. "Right," she said quietly, to no one, and started up the ladder.
created_at"2026-09-23T17:49:44.182Z" 9/23/2026, 5:49:44 PM
model"aion-labs/aion-3.5-20260923"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency470
moderation_latency(null)
generation_time53529
tokens_prompt896
tokens_completion3137
native_tokens_prompt841
native_tokens_completion2825
native_tokens_completion_images(null)
native_tokens_reasoning1059
native_tokens_cached841
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)
usage0.01758075
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790185784-CpXZjPqKUL9dPkNbIOJ7"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790185784-kfMjQhklejySAuRnY22P"
upstream_id"6db02db9bef54209b259b114ef843d39"
provider_responses
0
endpoint_id"09b1fc56-3888-42bd-b7a0-926851c7f9d6"
id"6db02db9bef54209b259b114ef843d39"
is_byokfalse
latency469
model_permaslug"aion-labs/aion-3.5-20260923"
provider_name"AionLabs"
status200
total_cost0.01758075
cache_discount0.00189225
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
57.14% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags14
adverbTagCount2
adverbTags
0"Osei said slowly [slowly]"
1"she said quietly [quietly]"
dialogueSentences28
tagDensity0.5
leniency1
rawRatio0.143
effectiveRatio0.143
79.49% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1463
totalAiIsmAdverbs6
found
0
adverb"slowly"
count2
1
adverb"gently"
count1
2
adverb"carefully"
count1
3
adverb"perfectly"
count1
4
adverb"precisely"
count1
highlights
0"slowly"
1"gently"
2"carefully"
3"perfectly"
4"precisely"
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)
76.08% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1463
totalAiIsms7
found
0
word"mosaic"
count1
1
word"silence"
count1
2
word"footsteps"
count1
3
word"etched"
count1
4
word"magnetic"
count1
5
word"calibrated"
count1
6
word"could feel"
count1
highlights
0"mosaic"
1"silence"
2"footsteps"
3"etched"
4"magnetic"
5"calibrated"
6"could feel"
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
narrationSentences71
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences71
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences85
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen79
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords10
totalWords1481
ratio0.007
matches
0"Eva Kowalski — restricted archives — ask about the compass."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions34
wordCount1062
uniqueNames16
maxNameDensity0.94
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Osei"
discoveredNames
Harlow1
Quinn10
Met1
August1
Tube1
Camden1
Nadia1
Osei10
June1
Victorian1
Fresh1
British1
Museum1
Kowalski1
Silvertown1
Morris1
persons
0"Harlow"
1"Quinn"
2"Nadia"
3"Osei"
4"Kowalski"
5"Morris"
places
0"August"
1"Silvertown"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences50
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.675
wordCount1481
matches
0"no cash but"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences85
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs34
mean43.56
std37.63
cv0.864
sampleLengths
0117
134
210
381
43
537
63
784
832
985
106
113
129
1385
145
154
1642
17111
1812
19107
2029
2110
2283
2393
2462
254
2677
2774
2844
2911
3013
3184
3215
3312
80.55% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences71
matches
0"been wallpapered"
1"been opened"
2"was etched"
3"been left"
4"was tired"
45.86% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs173
matches
0"was not pointing"
1"was pointing"
2"was thinking"
3"was paying"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount15
semicolonCount0
flaggedSentences11
totalSentences85
ratio0.129
matches
0"It had never once taken her here — a sealed Tube station beneath Camden, dead since before she was born, its platforms still bearing the ghost of a mosaic no one had bothered to steal."
1"The man lay on his back across the dead rails, arms at his sides, dressed in a good coat gone wrong — charcoal wool, expensive, hemmed with frost."
2"Brown leather, well kept, and clean — not clean like a man who polished them, clean like a man who had not walked anywhere."
3"He had arrived at this spot the way frost arrives — without footsteps."
4"The brickwork here was original Victorian, black with soot and time — except where it wasn't."
5"She walked back to the body, thinking of the frost, of the tidied arms, of the clean shoes, and knelt — carefully, outside the cold line — to look at the victim's hands."
6"Its face was etched with sigils that matched the bone token's, fine as engraver's art, and its needle — she leaned close — was not pointing north."
7"\"It's not broken. It's calibrated to something that isn't north.\" Quinn bagged it herself, wrote the exhibit label in her neat, square hand, and did not say what she was thinking, which was: last night was a full moon, and this wall was open last night, and this man came out of it wearing clean shoes and carrying a bone ticket he never got to spend — or got to spend, and was paying for it now."
8"The victim's effects, when the SOCOs went through them, held a wallet with no cash but a great deal of nothing — no cards, no ID, the paper strips where cards had been cut out with scissors, precisely."
9"A British Museum staff card, soft with handling, and on the back, in pencil, a name and a number: *Eva Kowalski — restricted archives — ask about the compass.*"
10"The compass was in her evidence bag at her hip, and through the plastic she could feel — this was absurd, she was tired, it was four in the morning — a faint coldness where the brass pressed against her."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1053
adjectiveStacks0
stackExamples(empty)
adverbCount24
adverbRatio0.022792022792022793
lyAdverbCount11
lyAdverbRatio0.010446343779677113
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences85
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences85
mean17.42
std16.78
cv0.963
sampleLengths
014
133
235
335
418
516
610
713
828
92
106
1132
123
1317
1420
153
1629
1755
183
1911
2018
219
2224
2313
2415
254
267
2713
286
293
309
315
3280
335
344
3542
362
3714
3816
3916
4016
414
421
4342
447
455
4610
4774
488
4915
79.61% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.5058823529411764
totalSentences85
uniqueOpeners43
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences63
matches(empty)
ratio0
73.97% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences63
matches
0"It had never once taken"
1"He was mid-forties, perhaps, though"
2"It was the nineteenth of"
3"She had learned long ago"
4"She walked the body's perimeter"
5"She had climbed down through"
6"His soles wore nothing."
7"He had not come down"
8"He had arrived at this"
9"She moved up the platform,"
10"She swept the torch across"
11"She ran her gloved finger"
12"She walked back to the"
13"She signalled the SOCO over"
14"She lifted the coat hem"
15"Its face was etched with"
16"It was pointing, with the"
17"She took out her own"
18"Hers swung to magnetic north."
19"She rotated it."
ratio0.365
7.62% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount57
totalSentences63
matches
0"The ladder down into the"
1"Detective Harlow Quinn took the"
2"It had never once taken"
3"DS Nadia Osei's voice carried"
4"Quinn found her beneath the"
5"He was mid-forties, perhaps, though"
6"The man lay on his"
7"It was the nineteenth of"
8"The air around the body"
9"Osei flipped her notebook open"
10"Osei crouched, careful of the"
11"Quinn said nothing."
12"She had learned long ago"
13"She walked the body's perimeter"
14"The first number that wouldn't"
15"Brown leather, well kept, and"
16"The tunnel floor was a"
17"She had climbed down through"
18"His soles wore nothing."
19"He had not come down"
ratio0.905
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences63
matches(empty)
ratio0
77.92% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
technicalSentenceCount3
matches
0"Eighteen years in the Met had taken her into canal flats and penthouses, into a squat where the ceiling had been wallpapered with missing-person flyers, into a …"
1"Brown leather, well kept, and clean — not clean like a man who polished them, clean like a man who had not walked anywhere."
2"Its face was etched with sigils that matched the bone token's, fine as engraver's art, and its needle — she leaned close — was not pointing north."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount0
fancyTags(empty)
dialogueSentences28
tagDensity0.25
leniency0.5
rawRatio0
effectiveRatio0
79.2747%