Run: 2026-04-27-01KQ6YZXMPXQ5W0E9NZFN19TCK

Run Details

Duration:
1m 40s
Cost:
$0.016304
Provider:
Alibaba

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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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
Harlow Quinn ducked under the yellow tape. Her boots met cracked tiling. Moisture hung heavy in the air. The abandoned station breathed cold. Rust climbed the support pillars. Faded advertising posters peeled from the walls. The beam from her torch cut through suspended dust. A uniformed officer stood beside the evidence tarp. He adjusted his cap. He pointed a gloved finger toward the far platform. Clean enough for a Tuesday. Two puncture wounds to the chest. No struggle. Probably a debt collector. She stepped past him. Her eyes tracked the scuff marks on the floor. The dust lay undisturbed. She knelt. Her worn leather watch caught the dim light. She brushed a gloved finger across the ground. No drag marks. No hesitation steps. The victim fell straight down. Debt collectors leave a trail. Boots. Shouting. At least a dropped wallet. She lifted her gaze. The officer shrugged. He kicked a pebble. It skittered across the tiles. This spot sees rats and runaways. We tape it. We log it. We move on. She ignored him. Her focus locked on the body layout. The victim lay supine. A waxed canvas coat covered his shoulders. The fabric bore no tears. The blood pooled around his ribs. The liquid defied gravity. It crept uphill. It traced a spiral toward the eastern tunnel. Wind draft? The officer leaned against a rusted pillar. His breath fogged in the chill. Quinn stood. Her knees cracked. She pulled the brass instrument from her coat pocket. The Veil Compass rested in her palm. Verdigris coated the casing. Protective sigils etched the face. The needle trembled. It pointed straight up. Then it spun. It settled toward the tunnel mouth. The movement matched the blood spiral. Gravity pulls down. The needle points north. This points to something else. The officer crossed his arms. He shook his head. Toys don't solve cases. She pocketed the compass. She walked to the eastern wall. Concrete met iron tracks. She scanned the surface. No tool marks. No forced entry into the tunnel. She pressed a palm against the stone. It yielded. A hidden seam ran vertical. She traced it with her thumb. Dust fell away. A shallow recess waited. Inside lay a bone token. The marrow had drained. The carvings matched a merchant stall. Smuggler drop. Happens every full moon. They leave payment. They take goods. She lifted the token. It felt light. Hollow. She turned it over. The carvings faced inward. The smooth side showed outward. Anyone walking past would see a plain slab. Only someone who knew the layout would find the groove. She tossed the token aside. It clinked against the tracks. Market runs on bone. This bone is fake. Look at the edges. Machine cut. Not carved. The marrow was boiled out. Smells like bleach. The officer kicked the token. It skittered into the dark. So a faker. We catch fakers every week. Paper money. Fake IDs. She paced the platform. Her eyes measured the space. She counted the paces between the body and the wall. Four. Too close for a standing strike. Too far for a fall. She examined the victim's coat buttons. They faced the wrong way. The victim dressed himself in a hurry. Or someone else dressed him. She lifted the hem. A linen lining showed through. Threadbare. The weave crossed left to right. The stitches ran backward. A tailor's error. No tailor would sell this. Thrift shop rubbish. The uniformed officer checked his watch. He scratched his jaw. Pack it up. We got a call in Shoreditch. She ignored the comment. She crouched again. She lifted the victim's right hand. Calluses lined the fingertips. Ink stained the nails. The fingers bore a permanent curl. A writer's hand. Or a scribe's. She turned the palm. A fresh burn marked the center. The skin had blistered and peeled. The pattern matched a coin press. Or a heavy seal. She pressed her thumb over the wound. The flesh felt cold. Too cold for the time of death. Rigour hadn't set in properly. The temperature dropped the body faster than natural decay allowed. Fridge cold. The officer tapped his chest. Body swapped. Staged. Common enough. Get the pathologist. Let him tell us what we know already. She stood. She walked to the tunnel entrance. The compass sat heavy in her pocket. The needle pulled against the brass housing. She drew it out. The sigils glinted. The needle pointed into the shaft. Not toward a rift. Toward a structure. She squinted. Bricks formed an archway. Mortar crumbled between the joints. A steel door sat recessed. The hinges faced outward. Someone oiled them recently. The iron lacked rust. Service door. The officer pulled a key ring from his belt. He selected a brass key. He inserted it into a padlock. The lock refused to turn. He wiggled it. He sighed. Rusted shut. We seal it. We move on. She reached past him. She turned the handle. It gave. The lock fell open. The mechanism lacked tumbler wear. A new lock. A staged seal. She pushed the door. It swung silent. Cold air spilled out. It carried the scent of ozone and burnt sugar. She stepped inside. Her boots met polished stone. The floor held geometric lines. The lines matched the blood spiral. The compass needle aligned with the threshold. The officer stayed behind. He gripped his radio. He adjusted his stance. Quinn. Step back. We wait for the unit. She ignored the command. She traced the lines with her torch. The beam caught dust motes. The motes hung suspended. They refused to settle. The air pressure shifted. Her ears popped. She looked down. The floor held no footprints. None except hers. The victim never walked here. The body sat on the platform. A placement. A message. You see what I see? The officer asked. He shifted his weight. Gang territory. Marked out. Clean sweep. She turned to him. The torch light narrowed. Gangs leave warnings. Paint. Graffiti. Broken glass. They don't use blood that defies slope. They don't stage doors with fresh locks over rusted arches. They don't use fake tokens with machine edges. This wasn't a deal. This was a test. He blinked. He lowered the radio. Test for what? She pressed a palm to the wall. The stone vibrated. A low hum traveled through the brick. The compass grew warm against her hand. The sigils glowed faint. She traced a line that ran parallel to the doorframe. The line terminated at a floor vent. She knelt. She pried the grate loose. Steel clattered. Beneath lay a metal ladder. It descended into black. Ladder leads to the deep levels. The officer said. He clicked his safety on. We report it. We send the bomb squad. We call the museum consultants. She pulled the ladder down. The rungs bore grease. Fresh footprints marred the lowest step. Size ten. Narrow tread. The pattern matched a specific make of tactical boot. Issue only to contractors. Not police. Not soldiers. She ran a finger along the grease. It smeared clean. She held it to the torch. The substance caught fire. Blue flame licked the air. It died in a second. She wiped her hand on her trousers. Chemical trail. The officer stepped closer. Alchemical. You want the lab or a warrant? She holstered the torch. She kept her eyes on the descent. The hum grew louder. The compass pulled harder. The needle pointed straight down. Not away. Not sideways. Down. Quinn. The officer's voice tightened. He rested a hand on his baton. Protocol says we secure the perimeter. We wait for backup. We don't chase ghosts. She gripped the ladder. The cold bit her palms. She tested the first rung. It held. She looked back at the uniformed officer. His stance shifted. His grip tightened on the baton. Tell me you see it too. She didn't answer. She lowered her weight onto the second rung.
created_at"2026-04-27T07:55:48.898Z" 4/27/2026, 7:55:48 AM
model"qwen/qwen3.5-plus-20260420"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency839
moderation_latency(null)
generation_time99961
tokens_prompt1149
tokens_completion7112
native_tokens_prompt1100
native_tokens_completion6610
native_tokens_completion_images(null)
native_tokens_reasoning4831
native_tokens_cached0
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"
usage0.016304
router(null)
provider_responses
0
endpoint_id"8b4a0fbb-6705-4f8d-a7f1-ad18ecc0edbc"
id"chatcmpl-706bdb78-2e8e-93af-a625-d03caa76c256"
is_byokfalse
latency839
model_permaslug"qwen/qwen3.5-plus-20260420"
provider_name"Alibaba"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777276548-D16Iul9XeC9bM9oKsfhR"
session_id(null)
api_type"completions"
id"gen-1777276548-zwK0w3OdWjaULebftp6L"
upstream_id"chatcmpl-706bdb78-2e8e-93af-a625-d03caa76c256"
total_cost0.016304
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1319
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)
46.93% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1319
totalAiIsms14
found
0
word"traced"
count4
1
word"chill"
count1
2
word"etched"
count1
3
word"trembled"
count1
4
word"scanned"
count1
5
word"measured"
count1
6
word"structure"
count1
7
word"aligned"
count1
8
word"weight"
count2
9
word"vibrated"
count1
highlights
0"traced"
1"chill"
2"etched"
3"trembled"
4"scanned"
5"measured"
6"structure"
7"aligned"
8"weight"
9"vibrated"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"hung in the air"
count1
highlights
0"hung heavy in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences297
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount6
hedgeCount0
narrationSentences297
filterMatches
0"watch"
1"know"
2"see see"
3"see"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences297
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen10
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1319
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions8
wordCount1319
uniqueNames5
maxNameDensity0.3
worstName"Quinn"
maxWindowNameDensity0.5
worstWindowName"Quinn"
discoveredNames
Quinn4
Tuesday1
Veil1
Compass1
Shoreditch1
persons
0"Quinn"
1"Compass"
places
0"Shoreditch"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences77
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1319
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences297
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs36
mean36.64
std24.46
cv0.668
sampleLengths
065
117
246
312
431
547
62
765
812
913
1069
1112
1249
1324
1422
1582
1622
1792
1823
1970
2040
2171
2220
2357
2418
2548
269
2763
2827
2973
3014
3129
3226
3332
346
3511
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences297
matches
0"was boiled"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs281
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences297
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1319
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.016679302501895376
lyAdverbCount5
lyAdverbRatio0.0037907505686125853
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences297
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences297
mean4.44
std1.95
cv0.44
sampleLengths
07
15
26
35
45
57
69
78
84
99
105
116
122
134
144
159
164
172
188
198
203
213
225
235
241
251
265
274
283
294
305
316
323
333
343
353
367
374
387
395
406
414
423
438
442
457
466
472
483
499
33.67% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats50
diversityRatio0.30303030303030304
totalSentences297
uniqueOpeners90
94.09% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount7
totalSentences248
matches
0"Probably a debt collector."
1"At least a dropped wallet."
2"Then it spun."
3"Only someone who knew the"
4"Too close for a standing"
5"Too far for a fall."
6"Too cold for the time"
ratio0.028
49.03% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount106
totalSentences248
matches
0"Her boots met cracked tiling."
1"He adjusted his cap."
2"He pointed a gloved finger"
3"She stepped past him."
4"Her eyes tracked the scuff"
5"Her worn leather watch caught"
6"She brushed a gloved finger"
7"She lifted her gaze."
8"He kicked a pebble."
9"It skittered across the tiles."
10"We tape it."
11"We log it."
12"We move on."
13"She ignored him."
14"Her focus locked on the"
15"It crept uphill."
16"It traced a spiral toward"
17"His breath fogged in the"
18"Her knees cracked."
19"She pulled the brass instrument"
ratio0.427
34.60% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount211
totalSentences248
matches
0"Harlow Quinn ducked under the"
1"Her boots met cracked tiling."
2"Moisture hung heavy in the"
3"The abandoned station breathed cold."
4"Rust climbed the support pillars."
5"The beam from her torch"
6"A uniformed officer stood beside"
7"He adjusted his cap."
8"He pointed a gloved finger"
9"She stepped past him."
10"Her eyes tracked the scuff"
11"The dust lay undisturbed."
12"Her worn leather watch caught"
13"She brushed a gloved finger"
14"The victim fell straight down."
15"Debt collectors leave a trail."
16"She lifted her gaze."
17"The officer shrugged."
18"He kicked a pebble."
19"It skittered across the tiles."
ratio0.851
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences248
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences5
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
88.6105%