Run: 2026-09-23-01M37NTPRW0187XE542G0DXFEC

Run Details

Duration:
40.6s
Cost:
$0.014943
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, and the combination had put a patience in her that felt closer to numbness than to vigilance. She watched the green neon sign across the street buzz and gutter — The Raven's Nest, the letters flickering like something half-dead. Soho poured itself around the bar in the usual ways: umbrellas bobbing, taxis hissing through standing water, a drunk singing something in Portuguese that might once have been a love song. Quinn sat with the engine off and the windows cracked and her worn leather watch turned inward on her wrist, the face pressed against her pulse, a habit she'd never managed to break. The man came out at eleven forty. Olive skin, dark curls flattened by the rain, moving with the quick economical stride of somebody who knew exactly where he was going and didn't want anybody to know it. Tomás Herrera. Former paramedic, former NHS, former holder of a license to practice medicine — right up until he'd been caught administering treatments the regulatory board couldn't quite categorize and had, in Quinn's experience, gone thoroughly underground. She'd been building a file on him for two months. Off-the-books sutures, a gunshot wound treated in a bedsit, a chemist in Whitechapel who'd stopped returning her calls. Herrera turned up the collar of his jacket and walked north. Quinn gave him half a block. Then she left the car without closing the door all the way, soft, and followed. He was good. She'd give him that. He didn't check over his shoulder more than a man legitimately checking for traffic, and he changed his pace at corners in a way that looked natural unless you'd spent eighteen years learning what natural looked like when it was being faked. She kept the far side of the street, let a couple with linked arms screen her, matched his rhythm. The rain worked for her — it made everyone hurry, made everyone hunched and anonymous, made her just another salt-and-pepper silhouette in a city that didn't look up. They crossed out of Soho. He cut east, then north again, and Quinn felt the first cold tickle at the back of her neck, because he wasn't heading home. His flat was in Peckham. She'd sat outside it eleven times. This was a different vector entirely, and when he hopped a bus toward Camden at half past midnight, she stood at the rear platform of the same bus with her hood up and her heart going like a snare drum. He got off near the canal. She got off four stops later than she wanted to and doubled back through the rain, and that was her mistake, because when she found him again he was already looking for her. He saw her at fifty meters. She saw him see her. "Herrera!" Her voice cracked across the wet street like a whip. "Met Police — I just want to talk!" He ran. He ran the way frightened people run, all out and ugly, and Quinn ran the way she'd been taught to run — short strides, arms driving, breath held low in the belly. He vaulted a railing. She went around it and cut the angle. He tore down a service alley with bins exploding under his hands, and she took the alley at a slant, boots skidding on grease-slick cobbles, one hand kissing wet brick to keep her upright. Water sheeted off a downspout and soaked her shoulder and she barely registered it. "Tomás!" she shouted. "I know about the chemist! I know about Whitechapel! Running just makes it worse!" He didn't answer. He ran better than he should have — better than a medic should have — and he was pulling away, and Quinn felt the old black frustration rise in her, the same frustration she'd felt three years ago in a stairwell in Bermondsey with Morris two steps behind her and then — She shut the door on that. Shut it hard. Ran. Herrera ducked through a gap in hoarding, construction fencing around some dead redevelopment, and Quinn followed him through into a wasteland of gravel and weeds and rain-blackened concrete. Beyond it, the mouth of an abandoned Underground station gaped in the side of a low embankment — a Tube station that wasn't on any map she'd ever been shown, its old tiled façade smeared with decades of soot, its boards across the entrance pried loose and leaning. He went in. Quinn stopped at the hoarding, chest heaving, rain hammering the gravel around her boots. Her flashlight was in her coat. Her radio was in her coat. Her backup was a twenty-minute response time away if she called it in, and by then he'd be gone into the guts of London like water down a drain. She pulled the flashlight and went in. The station swallowed the city whole. Within ten steps the rain was a muffled drum overhead, and the air changed — cool, mineral, tasting of rust and old tile and something else underneath, something sweetish and herbal she couldn't name, like a shop that sold things no shop should sell. Her beam swept across a wall of cracked white tiles and a faded roundel with a station name worn nearly to nothing. The platform edge dropped away into black. Somewhere ahead, footsteps. "Herrera!" Her voice came back at her wrong — flattened, doubled, as if the tunnel had its own opinions about her being there. "This is your last chance to do this the easy way!" The footsteps stopped. She advanced along the platform, flashlight low, gun still holstered but her right hand free of the light and close to her hip. Ahead, at the end of the platform, a section of the wall had been rebuilt — new brick in an old wall, and set into it an iron door with no handle. Herrera stood in front of it, soaked and gasping, one hand pressed flat against the metal, and as her light found him she saw the medallion at his throat flash — Saint Christopher, patron of travelers, bouncing against his chest with every ragged breath. "Detective." His accent wrapped the word gently, Seville softened by a decade of London. "You need to stop right there. I mean it. Please." "Step away from the door. Hands where I can see them." "You don't know what's behind this door." He wasn't pleading. That was what unsettled her. He was warning. His eyes were wide and dead serious and there was a long pale scar along his left forearm that she'd never seen in daylight, and he said, "Whatever you think I've done — whatever you think you're investigating — you have no idea what you're walking into. There are places in this city that eat people like you, and this is one of them, and I am telling you as a man who has stitched up the people who come out of there that you do not want to go in." Quinn's jaw tightened. "People like me." "Police." "Step away from the door, Herrera." He looked at her for a long moment, rain dripping off his curls, and something in his face shifted — not defiance. Something closer to grief. "You had a partner," he said quietly. "Three years back. It was in the file you pulled on me — you pulled the Morris case, I know you did, everyone in my world knows about the Morris case. Detective, what happened to him wasn't — " He stopped himself. Shook his head. "You're not ready to hear it. Step back. Go home. Catch me some other night, on some other street, and I'll answer everything I can." The temperature in the tunnel seemed to drop. Quinn's pulse was a slow hard thing in her ears, and against her wrist, face-inward, her old leather watch ticked on, and all she could hear under his voice was the stairwell in Bermondsey, the sound of Morris's footsteps behind her stopping. She drew her weapon. "Step away from the door." Herrera exhaled. Then he turned to the iron door, and from inside his jacket he took out a token — small, yellowish, and as her flashlight caught it her stomach turned over slowly, because it was a disc of carved bone — and pressed it into a slot she hadn't seen. The door opened on darkness and noise. Noise — a low human murmur, a hundred distant voices, the smell of smoke and metal and those same sweet herbs, a wash of warm light from somewhere deep below spilling up the stairs beyond like the glow of a forge. A market. An actual market, down there, under Camden, in a dead Tube station, and Quinn stood on the platform with her gun up and her heart going and the whole shape of her certainties cracking down the middle like old tile. Herrera looked back at her from the threshold. The light from below cut his face in half. "Last chance, Detective," he said. "Some doors you can't un-walk through." And he went down into the light. Quinn stood alone in the dark for four seconds. She counted them against her watch. Then she holstered her weapon, clicked her flashlight off, and followed him in.
created_at"2026-09-23T17:43:17.04Z" 9/23/2026, 5:43:17 PM
model"aion-labs/aion-3.5-20260923"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency734
moderation_latency(null)
generation_time40577
tokens_prompt888
tokens_completion2471
native_tokens_prompt811
native_tokens_completion2181
native_tokens_completion_images(null)
native_tokens_reasoning272
native_tokens_cached256
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)
usage0.014943
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790185397-V4PfI4pqLYhze5Jjl8Px"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790185397-Syt4ap7jUWauefz45CEO"
upstream_id"e63186e912a241c6a76c2565021464ac"
provider_responses
0
endpoint_id"09b1fc56-3888-42bd-b7a0-926851c7f9d6"
id"e63186e912a241c6a76c2565021464ac"
is_byokfalse
latency734
model_permaslug"aion-labs/aion-3.5-20260923"
provider_name"AionLabs"
status200
total_cost0.014943
cache_discount0.000576
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
totalTags8
adverbTagCount1
adverbTags
0"he said quietly [quietly]"
dialogueSentences20
tagDensity0.4
leniency0.8
rawRatio0.125
effectiveRatio0.1
93.50% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1539
totalAiIsmAdverbs2
found
0
adverb"gently"
count1
1
adverb"slowly"
count1
highlights
0"gently"
1"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)
77.26% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1539
totalAiIsms7
found
0
word"pulse"
count2
1
word"footsteps"
count3
2
word"unsettled"
count1
3
word"stomach"
count1
highlights
0"pulse"
1"footsteps"
2"unsettled"
3"stomach"
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
narrationSentences85
matches(empty)
42.02% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount4
hedgeCount2
narrationSentences85
filterMatches
0"watch"
1"see"
hedgeMatches
0"managed to"
1"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences96
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen89
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1561
ratio0
matches(empty)
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
totalMentions44
wordCount1340
uniqueNames21
maxNameDensity0.97
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Detective1
Harlow1
Quinn13
Vauxhall1
Raven1
Nest1
Portuguese1
Herrera6
Whitechapel1
Soho2
Peckham1
Camden2
Bermondsey2
Morris2
Underground1
Tube2
London2
Saint1
Christopher1
Seville1
Shook1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Herrera"
4"Morris"
5"Saint"
6"Christopher"
places
0"Vauxhall"
1"Portuguese"
2"Whitechapel"
3"Soho"
4"Peckham"
5"Camden"
6"Bermondsey"
7"London"
8"Seville"
globalScore1
windowScore1
63.79% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences58
glossingSentenceCount2
matches
0"quite categorize and had, in Quinn's experience, gone thoroughly underground"
1"looked like when it was being faked"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1561
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences96
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs40
mean39.03
std35.71
cv0.915
sampleLengths
038
186
27
395
411
521
696
780
839
911
1019
112
1292
1317
1455
1510
1676
173
1855
197
2082
2134
223
2399
2424
2511
26109
276
281
296
30103
3150
329
3351
3490
3517
3611
377
3815
3913
84.62% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences85
matches
0"been caught"
1"being faked"
2"been taught"
3"been shown"
4"been rebuilt "
9.52% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount6
totalVerbs210
matches
0"was going"
1"wasn't heading"
2"was already looking"
3"was pulling"
4"wasn't pleading"
5"was warning"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount16
semicolonCount0
flaggedSentences13
totalSentences96
ratio0.135
matches
0"She watched the green neon sign across the street buzz and gutter — The Raven's Nest, the letters flickering like something half-dead."
1"Former paramedic, former NHS, former holder of a license to practice medicine — right up until he'd been caught administering treatments the regulatory board couldn't quite categorize and had, in Quinn's experience, gone thoroughly underground."
2"The rain worked for her — it made everyone hurry, made everyone hunched and anonymous, made her just another salt-and-pepper silhouette in a city that didn't look up."
3"He ran the way frightened people run, all out and ugly, and Quinn ran the way she'd been taught to run — short strides, arms driving, breath held low in the belly."
4"He ran better than he should have — better than a medic should have — and he was pulling away, and Quinn felt the old black frustration rise in her, the same frustration she'd felt three years ago in a stairwell in Bermondsey with Morris two steps behind her and then —"
5"Beyond it, the mouth of an abandoned Underground station gaped in the side of a low embankment — a Tube station that wasn't on any map she'd ever been shown, its old tiled façade smeared with decades of soot, its boards across the entrance pried loose and leaning."
6"Within ten steps the rain was a muffled drum overhead, and the air changed — cool, mineral, tasting of rust and old tile and something else underneath, something sweetish and herbal she couldn't name, like a shop that sold things no shop should sell."
7"\"Herrera!\" Her voice came back at her wrong — flattened, doubled, as if the tunnel had its own opinions about her being there."
8"Ahead, at the end of the platform, a section of the wall had been rebuilt — new brick in an old wall, and set into it an iron door with no handle."
9"Herrera stood in front of it, soaked and gasping, one hand pressed flat against the metal, and as her light found him she saw the medallion at his throat flash — Saint Christopher, patron of travelers, bouncing against his chest with every ragged breath."
10"He looked at her for a long moment, rain dripping off his curls, and something in his face shifted — not defiance."
11"Then he turned to the iron door, and from inside his jacket he took out a token — small, yellowish, and as her flashlight caught it her stomach turned over slowly, because it was a disc of carved bone — and pressed it into a slot she hadn't seen."
12"Noise — a low human murmur, a hundred distant voices, the smell of smoke and metal and those same sweet herbs, a wash of warm light from somewhere deep below spilling up the stairs beyond like the glow of a forge."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1333
adjectiveStacks1
stackExamples
0"Former paramedic, former NHS,"
adverbCount37
adverbRatio0.0277569392348087
lyAdverbCount11
lyAdverbRatio0.008252063015753939
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences96
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences96
mean16.26
std15.97
cv0.982
sampleLengths
038
122
231
333
47
530
62
735
810
918
1011
116
1215
133
144
1542
1619
1728
185
1924
205
216
2240
236
2433
256
265
2711
288
292
3032
314
328
3334
3414
353
3614
373
3852
396
403
411
4228
4348
443
4514
466
476
4829
497
62.50% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.40625
totalSentences96
uniqueOpeners39
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences78
matches
0"Then she left the car"
1"Somewhere ahead, footsteps."
2"Then he turned to the"
3"Then she holstered her weapon,"
ratio0.051
20.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount39
totalSentences78
matches
0"She watched the green neon"
1"She'd been building a file"
2"He was good."
3"She'd give him that."
4"He didn't check over his"
5"She kept the far side"
6"They crossed out of Soho."
7"He cut east, then north"
8"His flat was in Peckham."
9"She'd sat outside it eleven"
10"He got off near the"
11"She got off four stops"
12"He saw her at fifty"
13"She saw him see her."
14"Her voice cracked across the"
15"He ran the way frightened"
16"He vaulted a railing."
17"She went around it and"
18"He tore down a service"
19"He didn't answer."
ratio0.5
36.92% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount66
totalSentences78
matches
0"The rain had been falling"
1"She watched the green neon"
2"Soho poured itself around the"
3"Quinn sat with the engine"
4"The man came out at"
5"Olive skin, dark curls flattened"
6"She'd been building a file"
7"Herrera turned up the collar"
8"Quinn gave him half a"
9"He was good."
10"She'd give him that."
11"He didn't check over his"
12"She kept the far side"
13"The rain worked for her"
14"They crossed out of Soho."
15"He cut east, then north"
16"His flat was in Peckham."
17"She'd sat outside it eleven"
18"This was a different vector"
19"He got off near the"
ratio0.846
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences78
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences35
technicalSentenceCount9
matches
0"The rain had been falling for three hours and Detective Harlow Quinn had been sitting in an unmarked Vauxhall for four, and the combination had put a patience i…"
1"Soho poured itself around the bar in the usual ways: umbrellas bobbing, taxis hissing through standing water, a drunk singing something in Portuguese that might…"
2"Olive skin, dark curls flattened by the rain, moving with the quick economical stride of somebody who knew exactly where he was going and didn't want anybody to…"
3"Off-the-books sutures, a gunshot wound treated in a bedsit, a chemist in Whitechapel who'd stopped returning her calls."
4"He didn't check over his shoulder more than a man legitimately checking for traffic, and he changed his pace at corners in a way that looked natural unless you'…"
5"The rain worked for her — it made everyone hurry, made everyone hunched and anonymous, made her just another salt-and-pepper silhouette in a city that didn't lo…"
6"Beyond it, the mouth of an abandoned Underground station gaped in the side of a low embankment — a Tube station that wasn't on any map she'd ever been shown, it…"
7"Within ten steps the rain was a muffled drum overhead, and the air changed — cool, mineral, tasting of rust and old tile and something else underneath, somethin…"
8"An actual market, down there, under Camden, in a dead Tube station, and Quinn stood on the platform with her gun up and her heart going and the whole shape of h…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"she shouted (shout)"
dialogueSentences20
tagDensity0.15
leniency0.3
rawRatio0.333
effectiveRatio0.1
76.1380%