Run: 2026-09-24-01M39XBAQC8QC3Y1YTH7XCQY13

Run Details

Duration:
1m 21s
Cost:
$0.006317
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
Rain came down over Soho in grey sheets, turning the pavement outside the Raven's Nest into a smear of reflected neon. The green sign above the entrance buzzed and flickered, its light bleeding into the puddles like something toxic. Detective Harlow Quinn sat in an unmarked Ford across the street, one hand wrapped around a paper coffee cup gone cold hours ago, the other resting on her knee, where her fingers could touch the worn leather strap of her watch without anyone reading the gesture as nerves. Eleven forty-one. She'd been in the car since four. Eighteen years on the job had taught her that surveillance was ninety-five percent boredom and five percent the kind of adrenaline that aged you overnight. She'd done the boredom. Tonight, she suspected, was going to be the other part. At eleven fifty-two, the alley door beside the Nest swung open and a figure slipped out, hunched under a thin jacket that was losing its fight with the rain. Tomás Herrera. She knew the shape of him from photographs and from three weeks of watching: five-ten, curly dark hair plastered flat by the downpour, a leather bag hugged to his chest the way a man holds something he's not supposed to have. He checked the alley both ways, then moved north, fast. Quinn set the cup down, killed the dome light before it could betray her, and slid out into the rain. She didn't take the car. In Soho, a tail was a foot game — crowds, awnings, the reflections in dark shop windows. She kept fifty yards between them, letting a knot of drunk tourists in plastic ponchos swallow her as Herrera cut through Chinatown. He moved like a man with practice at disappearing, but he had a tell. Every block or so, his right hand came up to his throat, touching the medallion hanging there. Saint Christopher. Patron of travellers. She'd read his file enough times to have it by heart: former paramedic, struck off for administering treatments to patients who didn't exist in any database she'd ever seen, a scar along his left forearm from a knife he'd never reported to anyone. And underneath all of it, in the folder she kept at home in a drawer she didn't talk about — the name Morris. She pushed the thought down where it lived and kept walking. The rain thickened. Herrera turned off Charing Cross Road and cut through a housing estate, and her radio squawked once in her pocket — Control, checking in — and she thumbed it silent without breaking stride. No call-ins. Not yet. If she brought Herrera in tonight, she'd get a disgraced medic with a bag of contraband and a lawyer before dawn. If she followed him, she might get the thing she'd spent three years bleeding for. He crossed Euston, ducked through Camden, and the streets began to change — fewer people, more shuttered fronts, the sodium streetlights spaced further apart. He was moving quicker now, almost running, and Quinn closed the distance, her boots silent on wet stone, breath measured. Military precision, her instructors had called it, back when precision still felt like enough. Then he stopped. He crouched behind a construction hoarding outside a shut-down Tube entrance, the kind the council had chained shut a decade ago and forgotten. Quinn pressed herself into a doorway, rain running off the brim of her hood, and watched him haul aside a section of the hoarding that swung on hinges she couldn't see. Beyond it, steps descended into darkness. Herrera glanced back up the street. She flattened against the doorframe, heart counting. His warm brown eyes passed over her hiding place and moved on. Then he was gone, down the steps, and the swinging panel settled back into place with a click that sounded, in the rain, like a safe locking. Quinn gave him sixty seconds. Then she crossed the street. The panel opened without resistance. Below, a dead escalator descended into a stale, chemical-smelling dark, and at the bottom of it, faint and strange, she could hear voices. Music, maybe. Something that might have been an auction. She descended. The abandoned station opened up around her like a throat. Cracked tiles, peeling signage, a platform lit by lanterns strung on wire, and the platform was — she stopped. It was full. Stalls lined the walls where ticket machines had been, and the crowd moving between them was like no crowd she'd ever policed: coats that shifted colour when they turned, a vendor selling bottles of something that glowed faintly amber, a woman arguing over a folded scrap of parchment. The air smelled of ozone and burnt herbs. At the head of the platform stood a booth, and in the booth a figure draped in dark cloth, face lost to shadow. Herrera stood before it. Quinn watched him press something small and pale into the figure's palm — a token, carved bone, worn smooth — and the figure nodded him through into the tunnel beyond. The Veil Market. She'd read the phrase in Morris's handwriting, in the margins of his notebook, three years of dead ends reduced to two words and a question mark. She checked her watch. Twelve oh-six. The market moved every full moon, the whispers said, and the moon was fat and full tonight above the rain. If she walked away now, this place would be gone by morning, relocated to some other forgotten artery of the city, and Herrera with it. Her radio was dead air. No backup. No signal this far down. Her firearm suddenly felt like a formality. She thought of the locked room. The undetermined cause of death. The coroner's flat, useless voice. She thought of the drawer at home and the question mark she'd never been able to erase. Herrera's silhouette was shrinking into the tunnel. She walked toward the booth. The hooded figure turned its head as she approached. She couldn't read a face, only the pale glint of eyes shifting under the cloth. "Token," it said. A voice like dry leaves dragged over stone. Quinn kept her hands visible, her voice level. "I'm looking for the man who just came through. He's wanted in connection with a death." The figure was silent a moment. Then it laughed — a dry, rasping sound with nothing warm in it. "Paper means nothing here, detective." It had seen the warrant card before she'd finished reaching for it. "Bone or nothing." "I don't have a bone." "Then you don't come in." Behind the figure, the tunnel breathed out cold air. Herrera was gone. Three years were dissolving into the dark, and Quinn stood in the mouth of a world she didn't understand, in a station that shouldn't exist, being asked for a toll she couldn't pay. She thought of Morris again. She always did, in the end. He'd have gone in. He'd have gone in grinning. "Everyone pays eventually," the figure said, as if it could hear her thinking. "Choose." Quinn looked down at her left wrist. The watch had been her father's; the leather was cracked and dark with eighteen years of sweat and rain, and she'd worn it through every shift since the academy. She unclasped it, laid it on the counter of the booth, and pushed it across. "A down payment," she said. "I'll settle the rest when I find what I came for." The cloth hood tilted. Fingers like pale roots emerged and drew the watch into the dark. Somewhere beneath the fabric, the strap creaked. "Then you owe the Market," the figure said. "Remember that. It will." It stepped aside. Quinn didn't let herself hesitate — hesitation was how people died in doorways — but as she crossed the threshold into the tunnel, following the ghost of footsteps deeper into the earth, she felt the absence on her wrist like a wound, and understood, with the cold clarity of eighteen years of instinct, that she had just traded something she could not buy back.
created_at"2026-09-24T14:33:10.646Z" 9/24/2026, 2:33:10 PM
model"aion-labs/aion-3.5-mini-20260923"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1274
moderation_latency(null)
generation_time80482
tokens_prompt888
tokens_completion5072
native_tokens_prompt811
native_tokens_completion4408
native_tokens_completion_images(null)
native_tokens_reasoning3128
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)
usage0.00631718
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790260390-zoCQjJjUecGNkDgKUyzZ"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790260390-R1gXxQ6ewLcJ3cOlbn4V"
upstream_id"6186b0fdceec4cb7ba0e16c76298bdcc"
provider_responses
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endpoint_id"60ac3bdc-90ec-4769-9193-2c00b4d79562"
id"6186b0fdceec4cb7ba0e16c76298bdcc"
is_byokfalse
latency1274
model_permaslug"aion-labs/aion-3.5-mini-20260923"
provider_name"AionLabs"
status200
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provider_name"AionLabs"
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data_region"global"
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences12
tagDensity0.417
leniency0.833
rawRatio0
effectiveRatio0
96.23% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1326
totalAiIsmAdverbs1
found
0
adverb"suddenly"
count1
highlights
0"suddenly"
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)
81.15% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1326
totalAiIsms5
found
0
word"flickered"
count1
1
word"database"
count1
2
word"measured"
count1
3
word"glint"
count1
4
word"footsteps"
count1
highlights
0"flickered"
1"database"
2"measured"
3"glint"
4"footsteps"
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
narrationSentences97
matches(empty)
98.67% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences97
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences104
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen62
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1337
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions40
wordCount1275
uniqueNames19
maxNameDensity0.78
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Soho2
Raven1
Nest2
Harlow1
Quinn10
Ford1
Herrera9
Chinatown1
Christopher1
Morris3
Charing1
Cross1
Road1
Control1
Euston1
Camden1
Tube1
Veil1
Market1
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Christopher"
4"Morris"
5"Control"
6"Market"
places
0"Soho"
1"Raven"
2"Chinatown"
3"Charing"
4"Cross"
5"Road"
6"Euston"
7"Camden"
globalScore1
windowScore1
69.35% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences62
glossingSentenceCount2
matches
0"felt like enough"
1"felt like a formality"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1337
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences104
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs39
mean34.28
std28.74
cv0.838
sampleLengths
087
19
239
382
420
5123
623
711
876
958
103
1160
1252
1310
1437
152
1688
1757
1829
1951
2019
2133
227
235
2424
2511
2624
2739
285
295
3045
3120
3214
3351
3416
3523
3612
373
3864
94.41% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences97
matches
0"was gone"
1"was gone"
2"being asked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs218
matches
0"was losing"
1"was shrinking"
2"were dissolving"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount11
semicolonCount1
flaggedSentences9
totalSentences104
ratio0.087
matches
0"In Soho, a tail was a foot game — crowds, awnings, the reflections in dark shop windows."
1"And underneath all of it, in the folder she kept at home in a drawer she didn't talk about — the name Morris."
2"Herrera turned off Charing Cross Road and cut through a housing estate, and her radio squawked once in her pocket — Control, checking in — and she thumbed it silent without breaking stride."
3"He crossed Euston, ducked through Camden, and the streets began to change — fewer people, more shuttered fronts, the sodium streetlights spaced further apart."
4"Cracked tiles, peeling signage, a platform lit by lanterns strung on wire, and the platform was — she stopped."
5"Quinn watched him press something small and pale into the figure's palm — a token, carved bone, worn smooth — and the figure nodded him through into the tunnel beyond."
6"Then it laughed — a dry, rasping sound with nothing warm in it."
7"The watch had been her father's; the leather was cracked and dark with eighteen years of sweat and rain, and she'd worn it through every shift since the academy."
8"Quinn didn't let herself hesitate — hesitation was how people died in doorways — but as she crossed the threshold into the tunnel, following the ghost of footsteps deeper into the earth, she felt the absence on her wrist like a wound, and understood, with the cold clarity of eighteen years of instinct, that she had just traded something she could not buy back."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1272
adjectiveStacks0
stackExamples(empty)
adverbCount33
adverbRatio0.025943396226415096
lyAdverbCount4
lyAdverbRatio0.0031446540880503146
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences104
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences104
mean12.86
std11.81
cv0.919
sampleLengths
021
118
248
32
47
525
64
710
829
92
1041
1110
1220
135
1417
1522
1614
1717
182
193
2043
2123
2211
233
2433
252
262
2721
2815
2924
3020
3114
323
3323
3431
356
366
377
3812
3927
405
415
425
4323
442
457
462
4710
4819
493
63.78% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.4230769230769231
totalSentences104
uniqueOpeners44
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences86
matches
0"Then he stopped."
1"Then he was gone, down"
2"Then she crossed the street."
3"Then it laughed — a"
4"Somewhere beneath the fabric, the"
ratio0.058
80.47% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences86
matches
0"She'd been in the car"
1"She'd done the boredom."
2"She knew the shape of"
3"He checked the alley both"
4"She didn't take the car."
5"She kept fifty yards between"
6"He moved like a man"
7"She'd read his file enough"
8"She pushed the thought down"
9"He crossed Euston, ducked through"
10"He was moving quicker now,"
11"He crouched behind a construction"
12"She flattened against the doorframe,"
13"His warm brown eyes passed"
14"It was full."
15"She'd read the phrase in"
16"She checked her watch."
17"Her radio was dead air."
18"Her firearm suddenly felt like"
19"She thought of the locked"
ratio0.349
70.47% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount67
totalSentences86
matches
0"Rain came down over Soho"
1"The green sign above the"
2"Detective Harlow Quinn sat in"
3"She'd been in the car"
4"She'd done the boredom."
5"Tonight, she suspected, was going"
6"She knew the shape of"
7"He checked the alley both"
8"Quinn set the cup down,"
9"She didn't take the car."
10"She kept fifty yards between"
11"He moved like a man"
12"Every block or so, his"
13"Patron of travellers."
14"She'd read his file enough"
15"She pushed the thought down"
16"The rain thickened."
17"Herrera turned off Charing Cross"
18"He crossed Euston, ducked through"
19"He was moving quicker now,"
ratio0.779
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences86
matches
0"If she brought Herrera in"
1"If she followed him, she"
2"If she walked away now,"
ratio0.035
59.80% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences43
technicalSentenceCount5
matches
0"At eleven fifty-two, the alley door beside the Nest swung open and a figure slipped out, hunched under a thin jacket that was losing its fight with the rain."
1"Every block or so, his right hand came up to his throat, touching the medallion hanging there."
2"She'd read his file enough times to have it by heart: former paramedic, struck off for administering treatments to patients who didn't exist in any database she…"
3"Stalls lined the walls where ticket machines had been, and the crowd moving between them was like no crowd she'd ever policed: coats that shifted colour when th…"
4"Three years were dissolving into the dark, and Quinn stood in the mouth of a world she didn't understand, in a station that shouldn't exist, being asked for a t…"
25.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount1
matches
0"the figure said, as if it could hear her thinking"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount0
fancyTags(empty)
dialogueSentences12
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
87.9776%