Run: 2026-09-23-01M37P1ATX50AHYEV762RD8BBK

Run Details

Duration:
50.7s
Cost:
$0.012674
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="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> 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.

Model response

AI
The rain had been falling for three hours and Detective Harlow Quinn had been sitting in an unmarked Vauxhall for four, watching the green neon of the Raven's Nest bleed color across the wet pavement of Soho. The sign buzzed and flickered, and every flicker rearranged the reflections in the puddles, so that the street seemed to shudder each time the light stuttered. She had learned to hate the sign almost as much as she'd learned to hate waiting. Herrera came out at 1:14 a.m. She clocked him the way she clocked everything — by habit, by instinct, by the cold arithmetic of eighteen years on the job. Tomás Herrera, twenty-nine, olive-skinned, dark curls plastered flat by the rain, no umbrella, no coat despite the weather, moving like a man who expected the streets to be empty and wanted them to stay that way. He glanced left. He glanced right. Then he walked north, fast, shoulders hunched, one hand pressed flat against his chest as if steadying something under his shirt. Quinn was out of the car before she'd fully decided to be. The rain hit her like a thrown bucket. She pulled her collar up and followed, keeping half a block between them, hugging the shopfronts where the awnings threw shadow. Her worn leather watch — the one thing she'd kept from her old life, the one thing Morris had never teased her about, because he'd understood what it meant — slid wet against her wrist as she pumped her arms for speed. Herrera turned off Frith Street. Then again at the corner, cutting against the one-way flow of the taxis. Then he did something that told her he'd made her: he stopped dead in the middle of the pavement, in the full glare of a kebab shop's fluorescent light, and looked back. She saw his face for one full second. Warm brown eyes, wide with something that wasn't guilt exactly — it was closer to fear, but fear with a strange, practiced edge to it, like a man who had rehearsed being afraid and knew what it cost him. Then he ran. Quinn ran. "Police!" she shouted, though she knew what the word was worth at one in the morning in a downpour, which was nothing. "Tomás Herrera! Stop!" He didn't stop. He was fast — paramedic-fast, the kind of fast built by years of hauling stretchers up narrow stairwells — and he knew the streets in a way that her A-to-Z didn't cover, ducking through a service alley, vaulting a stack of pallets, cutting across a car park where the security light strobed over them both in freezing white bursts. She kept her breathing in the old rhythm, three strides in, two out, and let her legs eat the distance. She was forty-one and she could still outrun most of the young ones on her team, and she proved it now, closing to thirty yards, twenty, her boots slapping standing water into cold spray. He took a left toward Camden and she took the same left and realized, with a lurch that had nothing to do with the running, that they were going down. Not metaphorically. The street itself tilted, the Victorian terraces giving way to hoarding and boarded windows, and the city noise fell away behind them until there was nothing but rain hammering sheet metal and her own breath sawing in her ears. Herrera stopped at a chain-link gate that should have been locked. It wasn't. He slipped through a gap where the fence had been peeled back like tin foil, and then he was descending a cracked concrete ramp into the black mouth of an old Tube station — one of the dead ones, she realized, one of the stations the maps had quietly forgotten decades ago. The tiled arch above the entrance had lost most of its lettering, but enough remained for her to read the ghost of a name in the lamplight spilling from the ramp: a station that didn't exist. Quinn stopped at the gate. Her hand went to her hip, found the radio, and found it dead — waterlogged or out of range, she couldn't tell which, and it didn't matter, because both meant the same thing. Nobody was coming. Nobody knew where she was. She could see the ramp ahead, see the faint orange glow of something burning below ground at the far end of the tunnel, and see Herrera's silhouette moving down into that glow without a single moment of hesitation. And then she saw the gate itself, and the thing hanging from it, and her whole understanding of the night tilted. A token. A disc of yellowed bone the size of an old penny, carved with a symbol she didn't recognize, threaded onto a leather cord and knotted to the chain-link. There were more of them — dozens — hanging along the fence like a wind chime made of grave goods, and as the rain struck them they clicked together with a sound that was almost musical and entirely wrong. The bone tokens had not been put there for decoration. They had been put there the way signs are put up: a price of admission. A border marker. And Herrera had touched one as he passed — she'd seen it, she realized now, seen his fingers brush a token the way a Catholic touches a saint's foot in a cathedral doorway. The medallion he always wore at his throat, the Saint Christopher she'd photographed through a long lens a dozen times without understanding it, was the same shape, the same bone-colored glint. Three years ago, Morris had followed a suspect into a basement in Whitechapel on a night much like this one. Radio dead. Backup minutes out. She'd heard his voice on the open channel, calm and professional right up until the moment she hadn't. What they'd found afterward — what was left of him, arranged in a way no human being could have been arranged by another human being — had closed the case without closing a single question. The file said misadventure. The file was a lie everyone had agreed to live inside, and she'd been living inside it too, until tonight, standing in the rain with her hand three inches from a bone token and the certain knowledge that the truth about Morris was somewhere down that ramp. Herrera's footsteps had gone silent. Below, the orange light pulsed once, slowly, like something breathing. She thought about procedure. Procedure said wait for backup, establish a perimeter, treat the unknown as hostile. Procedure said a detective with eighteen years of decorated service does not follow a suspect alone into an unmapped tunnel beneath Camden at one in the morning. Procedure had also said the basement in Whitechapel was a routine warrant address. She thought about Morris, who had followed procedure right up until the moment it killed him. Quinn unclipped one of the bone tokens from the fence. The cord was greasy with rain and something older than rain, and the disc was cold in a way the night couldn't explain — cold like a coin left on a dead man's eyes. She closed her fist around it, and the cold climbed her fingers and settled into her knuckles like a promise. "Fine," she said quietly, to the rain, to the dark, to whatever was listening. "Fine." She peeled the fence back, went through, and started down the ramp with her flashlight off and her senses wide open. The tunnel swallowed the sound of the city above her one step at a time, and by the tenth step there was no London left at all — only the glow ahead, growing warmer and stranger, and the smell of smoke and copper and things she had no vocabulary for yet. At the bottom of the ramp, the passage widened, and she saw the first stalls: canvas and scaff-pole booths strung with lanterns that burned without flickering, hung with bottles of liquids in colors that didn't exist under any streetlight in the city. Somewhere deeper in, a crowd murmured. Somewhere deeper in, Tomás Herrera had vanished into it. Quinn touched the worn leather band on her left wrist once, the way another woman might have crossed herself. Then she stepped into the market, and the dark came down behind her like a curtain.
created_at"2026-09-23T17:46:54.195Z" 9/23/2026, 5:46:54 PM
model"aion-labs/aion-3.5-20260923"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency453
moderation_latency(null)
generation_time50615
tokens_prompt888
tokens_completion2334
native_tokens_prompt811
native_tokens_completion2011
native_tokens_completion_images(null)
native_tokens_reasoning360
native_tokens_cached811
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)
usage0.01267425
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790185614-R4PZQyfqpQJh3mcG8vrZ"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790185614-imSeNHDyCgcXkcJCTbgc"
upstream_id"45dfa8707dc343f1ac84585d1004527d"
provider_responses
0
endpoint_id"09b1fc56-3888-42bd-b7a0-926851c7f9d6"
id"45dfa8707dc343f1ac84585d1004527d"
is_byokfalse
latency453
model_permaslug"aion-labs/aion-3.5-20260923"
provider_name"AionLabs"
status200
total_cost0.01267425
cache_discount0.00182475
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
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount1
adverbTags
0"she said quietly [quietly]"
dialogueSentences4
tagDensity0.5
leniency1
rawRatio0.5
effectiveRatio0.5
96.38% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1380
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"slowly"
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)
74.64% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1380
totalAiIsms7
found
0
word"flickered"
count1
1
word"flicker"
count1
2
word"lurch"
count1
3
word"grave"
count1
4
word"glint"
count1
5
word"footsteps"
count1
6
word"pulsed"
count1
highlights
0"flickered"
1"flicker"
2"lurch"
3"grave"
4"glint"
5"footsteps"
6"pulsed"
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
filterCount1
hedgeCount1
narrationSentences71
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)
analyzedSentences73
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen58
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1395
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions41
wordCount1389
uniqueNames21
maxNameDensity0.58
worstName"Herrera"
maxWindowNameDensity1.5
worstWindowName"Herrera"
discoveredNames
Detective1
Harlow1
Quinn6
Vauxhall1
Raven1
Nest1
Soho1
Herrera8
Morris4
Frith1
Street1
Camden2
Victorian1
Tube1
Catholic1
Saint1
Christopher1
Whitechapel2
London1
Tomás2
Procedure3
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Nest"
4"Herrera"
5"Morris"
6"Catholic"
7"Saint"
8"Christopher"
9"Tomás"
10"Procedure"
places
0"Vauxhall"
1"Soho"
2"Frith"
3"Street"
4"Camden"
5"Victorian"
6"Whitechapel"
7"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences53
glossingSentenceCount1
matches
0"as if steadying something under his shirt"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1395
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences73
matches
0"stay that way"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs29
mean48.1
std35.92
cv0.747
sampleLengths
079
16
286
312
471
550
650
72
825
9116
1071
1111
122
1388
145
1579
1621
1769
1892
19129
2015
2157
2216
2364
2415
2572
2657
2719
2816
90.44% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences71
matches
0"been locked"
1"been peeled"
2"been arranged"
85.06% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs232
matches
0"were going"
1"was descending"
2"was coming"
3"was listening"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount15
semicolonCount0
flaggedSentences11
totalSentences73
ratio0.151
matches
0"She clocked him the way she clocked everything — by habit, by instinct, by the cold arithmetic of eighteen years on the job."
1"Her worn leather watch — the one thing she'd kept from her old life, the one thing Morris had never teased her about, because he'd understood what it meant — slid wet against her wrist as she pumped her arms for speed."
2"Warm brown eyes, wide with something that wasn't guilt exactly — it was closer to fear, but fear with a strange, practiced edge to it, like a man who had rehearsed being afraid and knew what it cost him."
3"He was fast — paramedic-fast, the kind of fast built by years of hauling stretchers up narrow stairwells — and he knew the streets in a way that her A-to-Z didn't cover, ducking through a service alley, vaulting a stack of pallets, cutting across a car park where the security light strobed over them both in freezing white bursts."
4"He slipped through a gap where the fence had been peeled back like tin foil, and then he was descending a cracked concrete ramp into the black mouth of an old Tube station — one of the dead ones, she realized, one of the stations the maps had quietly forgotten decades ago."
5"Her hand went to her hip, found the radio, and found it dead — waterlogged or out of range, she couldn't tell which, and it didn't matter, because both meant the same thing."
6"There were more of them — dozens — hanging along the fence like a wind chime made of grave goods, and as the rain struck them they clicked together with a sound that was almost musical and entirely wrong."
7"And Herrera had touched one as he passed — she'd seen it, she realized now, seen his fingers brush a token the way a Catholic touches a saint's foot in a cathedral doorway."
8"What they'd found afterward — what was left of him, arranged in a way no human being could have been arranged by another human being — had closed the case without closing a single question."
9"The cord was greasy with rain and something older than rain, and the disc was cold in a way the night couldn't explain — cold like a coin left on a dead man's eyes."
10"The tunnel swallowed the sound of the city above her one step at a time, and by the tenth step there was no London left at all — only the glow ahead, growing warmer and stranger, and the smell of smoke and copper and things she had no vocabulary for yet."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1383
adjectiveStacks1
stackExamples
0"same bone-colored glint."
adverbCount31
adverbRatio0.022415039768618944
lyAdverbCount8
lyAdverbRatio0.005784526391901663
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences73
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences73
mean19.11
std14.83
cv0.776
sampleLengths
037
126
216
36
423
536
63
73
821
912
108
1121
1242
135
1413
1532
168
1739
183
192
2022
213
223
2359
2420
2534
2630
272
2839
2911
302
3152
3236
335
3433
353
365
3738
3821
392
4028
4139
4210
4315
443
4533
4631
4720
482
493
42.92% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.3561643835616438
totalSentences73
uniqueOpeners26
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount7
totalSentences66
matches
0"Then he walked north, fast,"
1"Then again at the corner,"
2"Then he did something that"
3"Then he ran."
4"Somewhere deeper in, a crowd"
5"Somewhere deeper in, Tomás Herrera"
6"Then she stepped into the"
ratio0.106
80.61% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences66
matches
0"She had learned to hate"
1"She clocked him the way"
2"He glanced left."
3"He glanced right."
4"She pulled her collar up"
5"Her worn leather watch —"
6"She saw his face for"
7"she shouted, though she knew"
8"He didn't stop."
9"He was fast — paramedic-fast,"
10"She kept her breathing in"
11"She was forty-one and she"
12"He took a left toward"
13"He slipped through a gap"
14"Her hand went to her"
15"She could see the ramp"
16"They had been put there"
17"She'd heard his voice on"
18"She thought about procedure."
19"She thought about Morris, who"
ratio0.348
73.64% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount51
totalSentences66
matches
0"The rain had been falling"
1"The sign buzzed and flickered,"
2"She had learned to hate"
3"Herrera came out at 1:14"
4"She clocked him the way"
5"Tomás Herrera, twenty-nine, olive-skinned, dark"
6"He glanced left."
7"He glanced right."
8"Quinn was out of the"
9"The rain hit her like"
10"She pulled her collar up"
11"Her worn leather watch —"
12"Herrera turned off Frith Street."
13"She saw his face for"
14"she shouted, though she knew"
15"He didn't stop."
16"He was fast — paramedic-fast,"
17"She kept her breathing in"
18"She was forty-one and she"
19"He took a left toward"
ratio0.773
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences66
matches(empty)
ratio0
18.63% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences46
technicalSentenceCount8
matches
0"Tomás Herrera, twenty-nine, olive-skinned, dark curls plastered flat by the rain, no umbrella, no coat despite the weather, moving like a man who expected the s…"
1"Then he walked north, fast, shoulders hunched, one hand pressed flat against his chest as if steadying something under his shirt."
2"Then he did something that told her he'd made her: he stopped dead in the middle of the pavement, in the full glare of a kebab shop's fluorescent light, and loo…"
3"Warm brown eyes, wide with something that wasn't guilt exactly — it was closer to fear, but fear with a strange, practiced edge to it, like a man who had rehear…"
4"She was forty-one and she could still outrun most of the young ones on her team, and she proved it now, closing to thirty yards, twenty, her boots slapping stan…"
5"The tiled arch above the entrance had lost most of its lettering, but enough remained for her to read the ghost of a name in the lamplight spilling from the ram…"
6"She could see the ramp ahead, see the faint orange glow of something burning below ground at the far end of the tunnel, and see Herrera's silhouette moving down…"
7"There were more of them — dozens — hanging along the fence like a wind chime made of grave goods, and as the rain struck them they clicked together with a sound…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"she shouted (shout)"
dialogueSentences4
tagDensity0.5
leniency1
rawRatio0.5
effectiveRatio0.5
78.5436%