Run: 2026-09-24-01M39X9WZGE4RR2PSRYWK8Z57J

Run Details

Duration:
3m 18s
Cost:
$0.015868
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
The green neon above the Raven's Nest buzzed like a wasp in a jar, and the rain carried its color down into the gutter in long ribbons. Inside, the walls wore old sea maps and black-and-white photographs of men in collars too stiff for the century that had drowned them. Harlow Quinn had nursed the same lager for two hours and let the room forget her. At the corner table, Tomás Herrera bound a man's split knuckles with gauze that glowed a faint pond-green. "Hold still." "It itches, Tommy." "Itching means knitting. Want it to stop, stop swinging on people." He tied off the gauze, pressed his thumb to the knot, and the glow died. Quinn turned her glass a quarter-circle on the coaster. A salve with a luminous compound in it, some lab trick without a license behind it. But the Hoxton girl's tox screen had come back with a phrase she'd never seen a pathologist write: no human compounds identified. Two teenagers dead in a month, blood the lab had flagged non-viable, and the only man in London stitching survivors sat ten feet away, healing a fist by lamplight. Herrera packed his bag. "Midnight," he told his patient. "Same coin." He carried the bag behind the bar, where a bookshelf stood between two spirit optics. The shelf clicked. The shelf swallowed him. Quinn left a twenty under the glass and walked out into the rain. Around the back, a service door wore a paint spill of green down its steel. She set herself in a doorway opposite and counted ninety. The door opened. Herrera came out collar-up, bag in hand, head down. "Mr. Herrera. Metropolitan Police." He turned. Rain ran off his curls. Then he ran. She showed the warrant card to his back, knowing what it was worth. "I just want to talk!" "Talk is what you lot do after!" His voice came back over the wet cobbles. "You want to arrest!" He cut north off Wardour Street, through a delivery alley where crates of empties stood in ranks, over a chain-link gate that took her shoulder to rattle loose. His sleeve rode up on the vault. An old knife scar, white along the left forearm. She had that scar in a file on her desk. Herrera, Tomás. Struck off. Unreported assault. "Control, Quinn." She keyed the radio at a dead run, breath metered, elbows in, nothing wasted. "Foot pursuit, male, five-ten, dark curly hair, northbound from Wardour Street. Request backup at Camden Lock." "Control copies. Nearest unit is nine minutes out, Quinn." Nine minutes. Herrera was twenty seconds. He dropped down the steps to the Regent's Canal towpath and she took them a stride behind. Rain needled the black water into static. A cyclist swore and clipped a railing. Under the bridge mouths the dark came down like a lid, and his medallion flashed at his open collar — Saint Christopher, patron of travelers — and the man could travel. "Stop!" "I can't stop!" Over the hiss of the water. "You don't know what you're chasing!" "Then make me know!" He didn't. He ran. Her watch read 11:51 under a streetlamp's spill, and she put the number away with everything else. He took the steps up off the towpath two at a time and came out into a side street behind the high street, where a rusted gate stood between hoardings and stairs went down beneath a sign whose serif letters the rust had half-eaten: SOUTH KENTISH TOWN. No train had stopped there in ninety years. He shouldered the gate and the chain gave like it had been waiting to, and Quinn went through after him. The ticket hall lay flooded to the ankle, water over the tiles like smoked glass. A turnstile stood rusted into stillness. Somewhere, drips kept time. At the far end, in front of a service gate with a padlock fat as a fist hung through the hasp, a woman in a grave-digger's coat held up a storm lantern. "Token." Herrera dug in his pocket and held a coin between two fingers. Carved bone, small as a ten-pence, a spiral worn shallow by thumbs. The spiral reached up Quinn's spine and sat down at the base of her skull. She had seen that spiral once before, three years ago, in an evidence bag with a dead man's personal effects. The woman lifted the latch without touching the padlock. The gate swung. Herrera looked back at her, and there was no fear in his face, which was worse than fear. "You've been in Raven's since nine with the same lager. Silas waters it for people like you." He stepped onto the stairs. "Go home, Detective. Whatever you're chasing, it isn't me. I stitch people your hospitals won't touch." "The Hoxton girl died with something in her blood no lab could name." "Then she bought it above. I clean up after what the Market sells." He was three steps down, the lantern light carving his face from below. "Go home." The gate shut behind him. The padlock hung through the hasp again, undisturbed. Quinn keyed her radio. "Control, Quinn, I've lost visual, I'm at—" Static ate the call whole. She pressed the set to the wet brick. Static. Underground, before she'd even descended. She put it away. Her hand found her inside pocket on its own, the way a tongue finds a broken tooth. In a plastic evidence sleeve she had stopped pretending she would ever hand in lay a coin of carved bone with the same spiral. Three years she had carried it, since the day Morris's effects came back from the lab logged as carved bone fragment, no value, and she had meant to give it to his mother and had never once made herself do it. Tonight it had ridden in her coat through the rain without her deciding anything at all. The lantern swung toward her. "You've got something to show or you haven't." Quinn held the coin out on her palm. The woman went still the way water goes still. "Where'd you get that?" "A dead detective's effects." "Tokens die with their owners." "Then this one's overdue." The woman looked at the coin, then at Quinn's face, then stepped aside and unhooked the padlock with two fingers. "Market moves on the full moon. After tonight, even I can't tell you where it's gone." She raised the lantern. "Door's open or it isn't. Choose." Procedure said wait. Backup was seven minutes out and her radio was porridge and no one on earth knew where she stood. Eighteen years of doing it by the book, and the book had never once handed her a spiral carved in bone. Air came up the shaft from below — candlewax, wet stone, something animal — and with it a murmur, a crowd-sound, rising like heat off a road. "Last chance to stay a policeman," the woman said. Quinn pocketed the warrant card, closed her fist around the coin, took the wet rail, and followed the sound of the market down.
created_at"2026-09-24T14:32:23.804Z" 9/24/2026, 2:32:23 PM
model"aion-labs/aion-3.5-mini-20260923"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1536
moderation_latency(null)
generation_time198220
tokens_prompt1104
tokens_completion12113
native_tokens_prompt989
native_tokens_completion11207
native_tokens_completion_images(null)
native_tokens_reasoning10440
native_tokens_cached989
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)
usage0.01586782
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790260343-9dwGyBtg8HoPNN2WCeDh"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790260343-1POlo1yzDhhmICiE2LgD"
upstream_id"b208ccbefbda4c32a71c7149ed9ecea3"
provider_responses
0
endpoint_id"60ac3bdc-90ec-4769-9193-2c00b4d79562"
id"b208ccbefbda4c32a71c7149ed9ecea3"
is_byokfalse
latency1536
model_permaslug"aion-labs/aion-3.5-mini-20260923"
provider_name"AionLabs"
status200
total_cost0.01586782
cache_discount0.00051428
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
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences31
tagDensity0.226
leniency0.452
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1172
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
95.73% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1172
totalAiIsms1
found
0
word"grave"
count1
highlights
0"grave"
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
narrationSentences81
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences81
filterMatches
0"watch"
hedgeMatches(empty)
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
maxSentenceWordsSeen48
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1176
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions31
wordCount974
uniqueNames16
maxNameDensity0.92
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Herrera"
discoveredNames
Raven1
Nest1
Quinn9
Tomás2
Herrera7
Hoxton1
London1
Wardour1
Street1
Nine1
Regent1
Canal1
Saint1
Christopher1
Morris1
Procedure1
persons
0"Raven"
1"Nest"
2"Quinn"
3"Tomás"
4"Herrera"
5"Saint"
6"Christopher"
7"Morris"
8"Procedure"
places
0"London"
1"Wardour"
2"Street"
3"Regent"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences53
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1176
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences104
matches
0"had that scar"
1"seen that spiral"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs50
mean23.52
std23.37
cv0.994
sampleLengths
066
118
22
33
411
591
64
77
822
913
1037
114
1210
1318
1419
1560
1632
179
186
1962
201
2115
224
2321
2475
2557
261
2724
2835
2912
3018
3138
3213
3328
3413
3511
3623
3798
385
398
4017
414
424
435
444
4546
4643
4727
489
4923
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences81
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs151
matches(empty)
87.91% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences2
totalSentences104
ratio0.019
matches
0"Under the bridge mouths the dark came down like a lid, and his medallion flashed at his open collar — Saint Christopher, patron of travelers — and the man could travel."
1"Air came up the shaft from below — candlewax, wet stone, something animal — and with it a murmur, a crowd-sound, rising like heat off a road."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount981
adjectiveStacks0
stackExamples(empty)
adverbCount19
adverbRatio0.019367991845056064
lyAdverbCount1
lyAdverbRatio0.0010193679918450561
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
mean11.31
std9.1
cv0.805
sampleLengths
027
123
216
318
42
53
611
715
89
916
1022
1129
124
135
142
1515
163
174
1813
1915
2010
213
229
234
242
255
263
2713
285
2915
304
3128
327
339
3410
352
362
372
3816
3916
409
412
424
4317
447
457
4631
471
489
496
79.49% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.5
totalSentences104
uniqueOpeners52
91.32% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences73
matches
0"Then he ran."
1"Somewhere, drips kept time."
ratio0.027
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences73
matches
0"He tied off the gauze,"
1"he told his patient"
2"He carried the bag behind"
3"She set herself in a"
4"She showed the warrant card"
5"His voice came back over"
6"He cut north off Wardour"
7"His sleeve rode up on"
8"She had that scar in"
9"She keyed the radio at"
10"He dropped down the steps"
11"Her watch read 11:51 under"
12"He took the steps up"
13"He shouldered the gate and"
14"She had seen that spiral"
15"He stepped onto the stairs"
16"He was three steps down,"
17"She pressed the set to"
18"She put it away."
19"Her hand found her inside"
ratio0.288
69.59% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount57
totalSentences73
matches
0"The green neon above the"
1"Harlow Quinn had nursed the"
2"He tied off the gauze,"
3"Quinn turned her glass a"
4"A salve with a luminous"
5"Herrera packed his bag."
6"he told his patient"
7"He carried the bag behind"
8"The shelf clicked."
9"The shelf swallowed him."
10"Quinn left a twenty under"
11"She set herself in a"
12"The door opened."
13"Herrera came out collar-up, bag"
14"Rain ran off his curls."
15"She showed the warrant card"
16"His voice came back over"
17"He cut north off Wardour"
18"His sleeve rode up on"
19"An old knife scar, white"
ratio0.781
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences73
matches(empty)
ratio0
86.47% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences38
technicalSentenceCount3
matches
0"Inside, the walls wore old sea maps and black-and-white photographs of men in collars too stiff for the century that had drowned them."
1"At the corner table, Tomás Herrera bound a man's split knuckles with gauze that glowed a faint pond-green."
2"He cut north off Wardour Street, through a delivery alley where crates of empties stood in ranks, over a chain-link gate that took her shoulder to rattle loose."
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
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences31
tagDensity0.065
leniency0.129
rawRatio0
effectiveRatio0
93.6837%