Run: 2026-07-07-01KWZ5DBE2ABNAH6BDBMADRBZJ

Run Details

Duration:
45.1s
Cost:
$0.003497
Provider:
AionLabs

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="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> Continue the story using the following instructions: <instructions> 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. </instructions>

Model response

AI
Rain lashed against Harlow Quinn's face as she pounded down the wet pavement. The suspect was fast, a dark blur half a block ahead, weaving between street lamps and the puddles that reflected them like shattered mirrors. She'd been tailing him since The Raven's Nest. Silas had tipped her off—an anonymous call, but the barman's voice was unmistakable. *The man you're looking for will be at my place tonight. Ten o'clock. Back corner.* The man had seen her the moment she walked through the door. Their eyes met across the dimly lit bar, over the heads of a crowd that reeked of cheap whiskey and expensive secrets. He didn't wait. He'd fled through the kitchen, burst out into the alley, and now he was tearing through Soho's rain-slicked streets like a man who knew exactly what waited for him if he got caught. And she did too. Three years ago, her partner DS Morris had been on a case just like this one. Following a lead. Chasing a ghost. They found his body in a drainage tunnel beneath Waterloo Bridge with no identification, no cause of death, and no explanation. Just a single word carved into his sternum in a language that had taken the Met six months to identify. *Nocturne.* The suspect veered left into a smaller alley. Quinn followed, her boots splashing through shallow water. The alley stank of rotten food and mildew. She gained ground. Ten yards. Seven. Her lungs burned but she pushed harder. "Stop!" she shouted. "Metropolitan Police!" He didn't stop. He reached the end of the alley and vaulted over a rusted gate. Quinn grabbed the top of the gate, her leather gloves slipping on the slick metal, and hauled herself over. She landed hard, her knees absorbing the impact. He was gone. The street ahead lay empty. A few parked cars. A closed kebab shop glowing neon orange through streaked windows. No sign of him. Quinn slowed, her hand going to the Glock holstered beneath her jacket. She scanned the street, listening past the thrum of rain and the distant rumble of night buses. A drip from a gutter. The hum of a street lamp about to blow. Then she saw it. A grate in the pavement near the curb. Heavy steel. Slightly ajar. She crouched beside it. Fresh scuff marks on the wet concrete. A dark smear of something that might have been blood near the edge. She lifted the grate. It weighed a ton, but adrenaline lent her strength. A set of rusted iron rungs descended into darkness. The smell that rose from below was not sewage or damp. It was old. Ancient. Like incense and dust and copper coins all mixed together. Quinn pulled out her phone. No signal. She should have called it in. Back-up. A search team. Proper equipment. That's what the manual said. That's what she'd have done three years ago. *Don't go in alone,* Morris' voice echoed in her memory. *That's how you end up dead in a drainage tunnel.* But she knew that voice. She knew where it came from. Guilt and grief and the stubborn refusal to let another partner die without answers. She descended. The rungs were slick, some of them loose. The air changed as she went down, growing warmer, thicker. Her boots hit solid ground after what felt like a hundred steps but couldn't have been more than thirty. A narrow tunnel stretched ahead, lined with Victorian brickwork. Faint light flickered from somewhere further in. Greasy yellow. Candlelight. She moved forward, one hand on the wall, the other on her weapon. The tunnel curved and opened into a larger space. The remains of an old Tube station. A tiled arch with a faded sign reading *Goodge Street* in a font that looked older than she was. But the sign had been crossed out with red paint, and beneath it, another sign hung on rusty chains: *THE VEIL MARKET* The chamber buzzed with life. Market stalls crowded the old platform, their wares set out on velvets and burlap under flickering lanterns. A woman with eyes like amber sold jars of pale blue smoke. A man with stitched-together skin offered teeth in a velvet pouch. The air smelled of thyme and rust and ozone. The suspect moved through the crowd, his silhouette unmistakable. He didn't look back. He knew she'd followed. Quinn stepped onto the platform. The moment her foot touched the tiled floor, the energy shifted. Heads turned. Conversations faltered. The amber-eyed woman stopped mid-transaction, her hand frozen over a jar. They knew she wasn't supposed to be here. She kept moving. Through the stalls, past a man selling vials of liquid moonlight and another offering maps of invisible roads. The suspect slipped between two tapestries and disappeared. Quinn reached the tapestries and pushed them aside. A narrow passage led to a smaller chamber. A consultation room, judging by the circle of cushions on the floor, the low brass table at its center. Tomás Herrera sat on one of the cushions. The suspect stood behind him, breathing hard, his face pale and slick with rain. Tomás looked up at her. His warm brown eyes held no surprise, only a deep and weary recognition. "Detective Quinn," he said. "I was wondering when you would find your way here." The suspect spoke, his voice ragged. "She came alone, Tomás. No backup. Just her." Tomás nodded slowly. His hand moved to the Saint Christopher medallion around his neck, fingers tracing its outline. "I know, Marcus. I counted on it." Quinn kept her hand on her weapon. The chamber felt close. The tapestries blocked out the market noise. The only sound was the drip of water from her coat onto the stone floor. "You know this man?" she asked. "I know a lot of people you'd like to meet, Detective." Tomás rose to his feet. He was tall, lean, his olive skin almost golden in the candlelight. The scar on his forearm caught the glow, a pale seam against dark skin. "The question is whether you're ready to meet them." "I'm here, aren't I?" "You followed a killer into an abandoned Tube station beneath Camden." Tomás smiled, but there was no warmth in it. "You're here because you didn't think. You're here because you're desperate. Because you still don't know what killed DS Morris." Quinn's jaw tightened. "What do you know about Morris?" "I know he didn't die in a drainage tunnel." Tomás stepped past the table, moving closer. "I know he died in a room very much like this one, asking questions he wasn't ready to hear the answers to." The suspect—Marcus—shifted behind him, his hand going to his jacket. Quinn's gun came up. "Easy," Tomás said. He held up both hands, palms out. "No one's drawing on anyone tonight. Marcus, stand down." Marcus hesitated. Then he lowered his hand. Tomás turned back to Quinn. "You have a choice, Detective. You can walk back up those rungs, call for backup, come back with a warrant and a dozen officers. By the time you return, this market will have moved. I will have moved. And you'll never know what really happened to your partner." "Or?" "Or you sit down." Tomás gestured to the cushions. "You put away your gun. And you let me tell you the truth." The rain dripped from Quinn's hair, down her neck, cold against her skin. She looked at the cushions. She looked at Tomás. She looked at Marcus, still pale, still tense, still watching her like a cornered animal. She let the hammer of her Glock ease back down. She holstered the weapon. And she sat.
created_at"2026-07-07T20:48:15.827Z" 7/7/2026, 8:48:15 PM
model"aion-labs/aion-3.0-mini-20260707"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency499
moderation_latency(null)
generation_time44451
tokens_prompt1140
tokens_completion2442
native_tokens_prompt1002
native_tokens_completion2116
native_tokens_completion_images(null)
native_tokens_reasoning531
native_tokens_cached321
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)
usage0.00349688
router(null)
provider_responses
0
endpoint_id"0ad7ab68-a351-4a96-b2ef-fa8fe13adae3"
id"baf7348b3a3c46ad8189a0e815943b3b"
is_byokfalse
latency499
model_permaslug"aion-labs/aion-3.0-mini-20260707"
provider_name"AionLabs"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783457295-WCwrpxJdgMwB6uXaW8k6"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783457295-fyQ9W24qRRLary7rSNWT"
upstream_id"baf7348b3a3c46ad8189a0e815943b3b"
total_cost0.00349688
cache_discount0.00016692
upstream_inference_cost0
provider_name"AionLabs"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences21
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
84.35% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1278
totalAiIsmAdverbs4
found
0
adverb"slightly"
count1
1
adverb"slowly"
count1
2
adverb"very"
count1
3
adverb"really"
count1
highlights
0"slightly"
1"slowly"
2"very"
3"really"
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Marcus"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
72.61% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1278
totalAiIsms7
found
0
word"shattered"
count1
1
word"scanned"
count1
2
word"echoed"
count1
3
word"flickered"
count1
4
word"velvet"
count1
5
word"tracing"
count1
6
word"warmth"
count1
highlights
0"shattered"
1"scanned"
2"echoed"
3"flickered"
4"velvet"
5"tracing"
6"warmth"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences134
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences134
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences147
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen48
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans6
markdownWords35
totalWords1275
ratio0.027
matches
0"The man you're looking for will be at my place tonight. Ten o'clock. Back corner."
1"Nocturne."
2"Don't go in alone,"
3"That's how you end up dead in a drainage tunnel."
4"Goodge Street"
5"THE VEIL MARKET"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions40
wordCount1067
uniqueNames17
maxNameDensity1.12
worstName"Quinn"
maxWindowNameDensity4.5
worstWindowName"Tomás"
discoveredNames
Harlow1
Quinn12
Raven1
Nest1
Soho1
Morris1
Waterloo1
Bridge1
Met1
Glock2
Victorian1
Tube1
Herrera1
Saint1
Christopher1
Tomás10
Marcus3
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Morris"
4"Herrera"
5"Saint"
6"Christopher"
7"Tomás"
8"Marcus"
places
0"Soho"
1"Waterloo"
2"Bridge"
globalScore0.938
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences74
glossingSentenceCount1
matches
0"felt like a hundred steps but couldn't"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1275
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences147
matches
0"knew that voice"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs50
mean25.5
std19.08
cv0.748
sampleLengths
037
136
270
367
41
537
65
743
83
923
1043
1116
1224
1347
1432
1520
1625
172
1856
1967
203
2154
2217
2331
248
2529
2635
2722
2818
2914
3014
3125
3233
336
3451
354
3640
379
3838
3910
404
4119
427
4353
441
4522
4637
4710
484
493
97.41% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences134
matches
0"got caught"
1"was gone"
2"been crossed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs178
matches
0"was tearing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences2
totalSentences147
ratio0.014
matches
0"Silas had tipped her off—an anonymous call, but the barman's voice was unmistakable."
1"The suspect—Marcus—shifted behind him, his hand going to his jacket."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount651
adjectiveStacks0
stackExamples(empty)
adverbCount14
adverbRatio0.021505376344086023
lyAdverbCount4
lyAdverbRatio0.006144393241167435
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences147
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences147
mean8.67
std6.68
cv0.77
sampleLengths
013
124
28
313
411
52
62
712
822
93
1033
114
1216
133
143
1521
1620
171
188
198
208
213
222
231
247
253
262
273
2813
2919
308
313
325
334
3410
354
3612
3717
385
399
404
418
422
432
444
457
4613
474
489
499
42.40% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats21
diversityRatio0.3401360544217687
totalSentences147
uniqueOpeners50
88.50% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences113
matches
0"Just a single word carved"
1"Then she saw it."
2"Then he lowered his hand."
ratio0.027
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences113
matches
0"She'd been tailing him since"
1"Their eyes met across the"
2"He didn't wait."
3"He'd fled through the kitchen,"
4"They found his body in"
5"She gained ground."
6"Her lungs burned but she"
7"He didn't stop."
8"He reached the end of"
9"She landed hard, her knees"
10"He was gone."
11"She scanned the street, listening"
12"She crouched beside it."
13"She lifted the grate."
14"It weighed a ton, but"
15"It was old."
16"She should have called it"
17"She knew where it came"
18"Her boots hit solid ground"
19"She moved forward, one hand"
ratio0.292
39.65% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount95
totalSentences113
matches
0"Rain lashed against Harlow Quinn's"
1"The suspect was fast, a"
2"She'd been tailing him since"
3"Silas had tipped her off—an"
4"*The man you're looking for"
5"The man had seen her"
6"Their eyes met across the"
7"He didn't wait."
8"He'd fled through the kitchen,"
9"They found his body in"
10"The suspect veered left into"
11"Quinn followed, her boots splashing"
12"The alley stank of rotten"
13"She gained ground."
14"Her lungs burned but she"
15"He didn't stop."
16"He reached the end of"
17"Quinn grabbed the top of"
18"She landed hard, her knees"
19"He was gone."
ratio0.841
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences113
matches(empty)
ratio0
91.84% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences42
technicalSentenceCount3
matches
0"The suspect was fast, a dark blur half a block ahead, weaving between street lamps and the puddles that reflected them like shattered mirrors."
1"Their eyes met across the dimly lit bar, over the heads of a crowd that reeked of cheap whiskey and expensive secrets."
2"He'd fled through the kitchen, burst out into the alley, and now he was tearing through Soho's rain-slicked streets like a man who knew exactly what waited for …"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"she shouted (shout)"
dialogueSentences21
tagDensity0.19
leniency0.381
rawRatio0.25
effectiveRatio0.095
87.1140%