Run: 2026-09-23-01M37PF5YZHMNJ7QH10YGFGAJZ

Run Details

Duration:
1m 1s
Cost:
$0.020656
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 rain had chased everyone else off Buck Street by midnight, which suited Quinn fine. Fewer umbrellas meant fewer obstacles. She stood beneath the rusted awning of a shuttered chippy, watching the far corner where Tomás Herrera waited for a gap in the traffic, an aluminium case swinging in his grip. Three weeks she'd tracked him. From the green neon of the Raven's Nest to doorways in Soho to this — Camden, the night of a full moon, Herrera moving through the city like a man keeping an appointment he couldn't afford to miss. He crossed the road. She gave him the width of two lampposts and followed. He made her outside the kebab shop on the high street. She caught it in the window — his reflection stalling mid-step, brown eyes finding hers in the glass, holding them a beat too long. Then he ran. "Herrera! Police!" Her shout vanished into the rain. He cut left down a service alley, boots throwing water off the puddles, and Quinn gave chase, her breath tearing out of her in white bursts. Bins. A mattress against a chain-link fence. He hit the fence at speed, fingers hooking the wire, and hauled himself over in one motion. The aluminium case caught the top rail. It burst open in the air — syringes, amber vials, a coil of tubing scattering across the wet concrete — and something small bounced free, skipped off a puddle, and rolled to a stop against the wall. Quinn took the fence in three strides, felt the wire bite through her sleeve, dropped down on the other side. Her boots splashed down among the spilled medical kit. She swept the case up, rammed the vials back inside with one hand, and her fingers closed around the thing that had bounced loose. A disc of bone, yellowed and smooth, threaded onto a leather cord. A sigil had been carved into its face — spirals within spirals, worn shallow by thumbs. Herrera was already at the end of the alley. He glanced back once, and she saw him take in the case in her hand, and his jaw went tight. Then he ran harder. She ran harder too. He knew these streets better than she did. He took her through a gap between terraced houses, across a canal bridge where the water below ran black and swollen, down iron steps slick with rain, her soles skidding on every landing. Her lungs burned. Eighteen years of chasing people through London and her legs still remembered the drill — don't watch the runner, watch the route, cut the angles. She gained on him at the lock, lost it again when he hurdled a barrier she had to duck under. Then he was gone. She pulled up at the mouth of a construction hoarding, plywood sheets nailed over old brickwork, a gap torn open at one corner. Beyond it, the dead mouth of an abandoned Tube station gaped into the earth. Boarded windows above. A faded roundel, paint peeling. The gates hung open on broken hinges. No light inside. No sound but the rain drumming the plywood. Quinn drew her torch, thumbed it on, and went in. The stairs descended in a long spiral of cracked tile and standing water. Her beam caught graffiti, a collapsed poster frame, a rat frozen on the third step before it poured itself into the dark. Ten steps down, twenty, the temperature dropped and the air changed — wet stone giving way to something older, dust and incense and copper. Thirty steps down, she found the light. A single oil lantern hung from a hook in the tiled wall, and beneath it stood a woman with a face like weathered rope, holding a staff across the stairway. Beyond the woman, Herrera stood at a wrought-iron gate set into the tunnel wall — a gate Quinn was certain hadn't existed in any survey of this station — and he was patting his jacket, his trousers, turning out empty pockets. "Token," the old woman said. Her voice came out like gravel dragged over gravel. "It's — I had it. It was on the cord, it was—" Herrera stopped. His eyes came up and found Quinn on the stairs. He exhaled through his nose. "Of course. Of course it's you." "Tomás Herrera." Quinn took the last steps at an even pace, the case in her left hand, her right hanging loose near her belt. "You're under caution. Anything you—" "You don't want to do this." He descended two steps toward her, palms out. Rain still dripped from his curls, from the Saint Christopher medallion stuck to his chest. "Whatever you think I am, whatever you think I've done — turn around. Go up the stairs. I mean it." "The case." She lifted it. "Unauthorized medical supplies, administered off the books. That's how you lost your license, isn't it? Or is tonight something worse?" "Tonight it's a girl who won't see morning without what's in that case." His voice cracked on the last word. He steadied himself. "So you can arrest me. Fine. Arrest me. Hand the case to the old woman, let her take it down, and we'll sort out the paperwork in the morning. That's the deal. That's the only deal." The old woman's staff hadn't moved. Her eyes had — down to Quinn's hand, to the leather cord wound around her knuckles. "Bone buys passage," the woman said. "Steel buys nothing." Quinn looked at the disc. The spirals stared back at her. Three years. Three years since a warehouse in Silvertown, since Morris went through a door ahead of her because she'd stopped to call it in, since the door opened onto a room that shouldn't have been there and then wasn't, since the search teams found his coat and found no Morris and found no room. Three years of case files that dissolved into nothing, of a partner's name on a memorial wall while she stood there holding a grief no one would let her explain because there was nothing to explain it with. She had stood at a threshold once before and done the correct thing. The procedural thing. The thing by the book. "Detective." Herrera's voice dropped low, and there was something in it she hadn't expected — not fear for himself. Fear for her. "Listen to me. I read about Morris. I know what happened to him, or I know the shape of it. What took him, what the department buried — it came from a place like this. You walk through that gate, you're walking into its front garden." The rain above them was a distant drum now, another country. "Give the case to the woman," he said. "Arrest me on the pavement. Do it by the book, Detective Quinn, and go home." She turned the bone token over in her fingers. The sigil caught the lantern light and held it. "By the book." She unclipped the case's handle and held it out to the old woman without breaking stride toward the gate. "Your delivery. He's coming with me." "Quinn—" "You want your girl to see morning, he's the one carrying it down." She hooked the cord over her head, and the disc settled against her sternum, warm as a held breath. "And I'm done standing on stairs." The old woman pulled the staff aside. The iron gate swung inward on its own, without a hand touching it, onto a stairwell that spiralled down past the reach of the lantern, past the reach of any light, into the smell of dust and copper and something breathing. Herrera stared at her. Then he took the case from the woman's grip, and his shoulders came down, and he stepped through the gate into the dark. Quinn followed him.
created_at"2026-09-23T17:54:27.953Z" 9/23/2026, 5:54:27 PM
model"aion-labs/aion-3.5-20260923"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency666
moderation_latency(null)
generation_time60492
tokens_prompt1104
tokens_completion3723
native_tokens_prompt989
native_tokens_completion3319
native_tokens_completion_images(null)
native_tokens_reasoning1898
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)
usage0.02065575
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790186067-i20lw9MP0RqhyJW2ykVg"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790186067-LndeAuU2fnHIikaBOQ2L"
upstream_id"5a2c8b323ad74d05bcbdee9a7c1d9f57"
provider_responses
0
endpoint_id"09b1fc56-3888-42bd-b7a0-926851c7f9d6"
id"5a2c8b323ad74d05bcbdee9a7c1d9f57"
is_byokfalse
latency666
model_permaslug"aion-labs/aion-3.5-20260923"
provider_name"AionLabs"
status200
total_cost0.02065575
cache_discount0.00222525
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
totalTags11
adverbTagCount0
adverbTags(empty)
dialogueSentences23
tagDensity0.478
leniency0.957
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1287
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)
100.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1287
totalAiIsms0
found(empty)
highlights(empty)
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)
analyzedSentences93
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen54
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1301
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions37
wordCount1073
uniqueNames18
maxNameDensity0.93
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Buck1
Street1
Quinn10
Tomás1
Herrera7
Raven1
Nest1
Soho1
Camden1
London1
Tube1
Rain1
Saint1
Christopher1
Silvertown1
Morris2
Fear1
Three4
persons
0"Buck"
1"Street"
2"Quinn"
3"Tomás"
4"Herrera"
5"Raven"
6"Rain"
7"Saint"
8"Christopher"
9"Morris"
places
0"Soho"
1"London"
2"Silvertown"
3"Three"
globalScore1
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences55
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.769
wordCount1301
matches
0"No sound but"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences93
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs39
mean33.36
std25.94
cv0.778
sampleLengths
051
143
214
338
42
5100
653
728
833
94
1089
114
1252
1311
1410
1559
167
1771
1814
1935
2029
2149
2225
2359
2422
259
2611
2793
2821
2968
3011
3123
3218
3328
341
3538
3648
3727
383
96.60% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences81
matches
0"been carved"
1"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs175
matches
0"was patting"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount11
semicolonCount0
flaggedSentences9
totalSentences93
ratio0.097
matches
0"From the green neon of the Raven's Nest to doorways in Soho to this — Camden, the night of a full moon, Herrera moving through the city like a man keeping an appointment he couldn't afford to miss."
1"She caught it in the window — his reflection stalling mid-step, brown eyes finding hers in the glass, holding them a beat too long."
2"It burst open in the air — syringes, amber vials, a coil of tubing scattering across the wet concrete — and something small bounced free, skipped off a puddle, and rolled to a stop against the wall."
3"A sigil had been carved into its face — spirals within spirals, worn shallow by thumbs."
4"Eighteen years of chasing people through London and her legs still remembered the drill — don't watch the runner, watch the route, cut the angles."
5"Ten steps down, twenty, the temperature dropped and the air changed — wet stone giving way to something older, dust and incense and copper."
6"Beyond the woman, Herrera stood at a wrought-iron gate set into the tunnel wall — a gate Quinn was certain hadn't existed in any survey of this station — and he was patting his jacket, his trousers, turning out empty pockets."
7"Her eyes had — down to Quinn's hand, to the leather cord wound around her knuckles."
8"\"Detective.\" Herrera's voice dropped low, and there was something in it she hadn't expected — not fear for himself."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1065
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.016901408450704224
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences93
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences93
mean13.99
std11.63
cv0.831
sampleLengths
015
15
231
35
438
54
610
711
824
93
102
116
1226
131
146
1517
167
1737
1820
199
2024
2112
2216
239
2420
254
264
278
2833
293
3025
3120
324
3323
3414
353
365
377
383
398
4010
4113
4222
4324
447
4530
4641
475
489
4914
61.29% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.41935483870967744
totalSentences93
uniqueOpeners39
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences77
matches
0"Then he ran."
1"Then he ran harder."
2"Then he was gone."
3"Then he took the case"
ratio0.052
58.96% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount31
totalSentences77
matches
0"She stood beneath the rusted"
1"He crossed the road."
2"She gave him the width"
3"He made her outside the"
4"She caught it in the"
5"Her shout vanished into the"
6"He cut left down a"
7"He hit the fence at"
8"It burst open in the"
9"Her boots splashed down among"
10"She swept the case up,"
11"He glanced back once, and"
12"She ran harder too."
13"He knew these streets better"
14"He took her through a"
15"Her lungs burned."
16"She gained on him at"
17"She pulled up at the"
18"Her beam caught graffiti, a"
19"Her voice came out like"
ratio0.403
83.38% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount58
totalSentences77
matches
0"The rain had chased everyone"
1"She stood beneath the rusted"
2"He crossed the road."
3"She gave him the width"
4"He made her outside the"
5"She caught it in the"
6"Her shout vanished into the"
7"He cut left down a"
8"A mattress against a chain-link"
9"He hit the fence at"
10"The aluminium case caught the"
11"It burst open in the"
12"Quinn took the fence in"
13"Her boots splashed down among"
14"She swept the case up,"
15"A disc of bone, yellowed"
16"A sigil had been carved"
17"Herrera was already at the"
18"He glanced back once, and"
19"She ran harder too."
ratio0.753
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences77
matches(empty)
ratio0
16.81% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences34
technicalSentenceCount6
matches
0"The rain had chased everyone else off Buck Street by midnight, which suited Quinn fine."
1"She caught it in the window — his reflection stalling mid-step, brown eyes finding hers in the glass, holding them a beat too long."
2"He cut left down a service alley, boots throwing water off the puddles, and Quinn gave chase, her breath tearing out of her in white bursts."
3"Beyond the woman, Herrera stood at a wrought-iron gate set into the tunnel wall — a gate Quinn was certain hadn't existed in any survey of this station — and he…"
4"Three years since a warehouse in Silvertown, since Morris went through a door ahead of her because she'd stopped to call it in, since the door opened onto a roo…"
5"The iron gate swung inward on its own, without a hand touching it, onto a stairwell that spiralled down past the reach of the lantern, past the reach of any lig…"
79.55% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount1
matches
0"She hooked, and the disc settled against her sternum, warm as a held breath"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences23
tagDensity0.13
leniency0.261
rawRatio0
effectiveRatio0
85.9971%