Run: 2026-04-27-01KQ78JC6KB648Z9QFBA5XT88N

Run Details

Duration:
4m 4s
Cost:
$0.055640
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
Damp air clung to the cracked tiles of the disused Camden Tube station. Harlow Quinn ducked under the yellow police tape. Her boots struck the platform with measured rhythm. Eighteen years on the Met trained her to read a room in three seconds. This one refused to align. Emergency floods washed the arched ceiling in sickly orange. Stalls cobbled from scaffolding and rotting pallets lined the concourse. Dried nightshade hung from iron hooks. Glass ampoules caught the light, their contents thick and dark. A hidden bazaar. Now a cordoned wreck. A figure crouched near the ticket barriers. Curly red hair escaped a wool cap. Round glasses slipped down a freckled nose. Eva Kowalski brushed grey ash from a worn leather satchel and stood. She tucked a stray coil behind her left ear. You took the long way down. Traffic on Camden High Street. What am I looking at? Three stalls overturned. One display case shattered. Blood on the platform edge. No body. No shell casings. Just this. Eva kicked a small white object across the concrete. It clattered against Harlow’s toe. A carved knucklebone, smoothed by handling, drilled through the centre. Entry chits. The vendors call them tokens. You don’t get past the turnstiles without one. My read is a collection dispute. Someone shorted a dealer. Things turned sharp. The runner bolted through the service tunnels. The blood trail stops at the drain because they washed the rest away. Harlow rolled the bone between her thumb and forefinger. Dense. Heavy. Not cattle. She dropped it into a plastic sleeve and stepped past the wrecked carts. Her eyes tracked the scuff marks on the floor. Boot heels dragged sideways. Not running. Hauling. She knelt by the blood spatter. Droplets fanned out in a perfect crescent. Thick at the edges. Thin in the middle. High velocity. Low angle. Washed away leaves a tide line. This concrete is dry three feet out. No splashback on the drain grate. A hose leaves streaks. A bucket leaves pools. This is a spray pattern from a severed artery. The victim stood here. The attacker stood there. The blood hits the platform edge and stops. Physics doesn’t negotiate. A glint of metal caught the floodlight. Harlow brushed away a layer of soot and chalky powder. Brass. Small. Round. She lifted it free. Verdigris crusted the casing. Protective sigils cut deep into the face, worn smooth by thumbs. A needle floated under cracked glass. It spun lazy circles, then snapped hard to the left. Pointing straight at a solid brick retaining wall. Pocket watch? Compass. Shade make. Look at the etching. Those aren’t decorative. They’re warding lines. The needle doesn’t track north. Then what’s it tracking? Rifts. Tears in the fabric. Things that shouldn’t open. Harlow stood. The needle held steady. She paced toward the brick wall. Mortar lines ran straight. No hidden doors. No service hatches. She ran her fingers along the damp stone. Cold. Gritty. She pressed her palm flat. The air hummed against her skin. A low vibration, like a train idling three miles away. She checked the worn leather watch on her left wrist. The second hand stuttered. Jumped back. Marched forward. Magnetic interference. Or something worse. Your collection dispute theory requires an exit. The service tunnels are sealed with fresh padlocks. The turnstiles are welded shut. The only way out is the stairs we just walked down. Uniforms have held the perimeter since the call came in. Nobody left. They doubled back. Hid in a maintenance cupboard. We swept the cupboards. Empty. Dust undisturbed. Look at the footprints again. Eva crouched. She traced the tread marks with a gloved finger. Two sets. Heavy boots. Size tens. They drag toward the wall. Then they vanish. Vanish don’t mean magic. Means they stepped onto something that didn’t take impressions. A tarp. A board. A board leaves edges. A tarp leaves folds. The concrete is bare. The prints stop mid-stride. Heel down. Toe never lands. Harlow’s jaw tightened. Three years ago, an alley in Whitechapel. DS Morris on the ground. Chalk outline. No weapon. No suspect. Just a smell of ozone and a compass needle spinning wild in an evidence bag. The report called it a robbery. The coroner called it cardiac arrest. Harlow called it a lie. She turned the brass instrument over in her hand. The sigils matched the ones carved into Morris’s wedding ring. She had kept the rubbing in her desk drawer. She never told Internal Affairs. This market moves. Every full moon. New location. New entry point. Tonight is a waxing gibbous. The vendors shouldn’t be here. The stalls are set up, but the inventory is staged. Look at the ampoules. Eva stepped to the nearest cart. She lifted a vial. The liquid inside sat flat. No sediment. No separation. Water dyed with iodine. Fake stock. Exactly. Nobody was trading. They were waiting. The bone tokens on the floor aren’t entry chits. They’re anchors. Drilled through the centre. Threaded with copper wire. Buried under the ash. Look closer. Eva swept her boot across the soot. Thin filaments gleamed. A grid pattern. Radiating from the brick wall. A containment circle. Or a trigger. A doorbell. Someone laid a snare. The victim stepped into the centre. The wire tripped. The wall opened. Not a physical door. A tear. The compass locks onto residual energy. The blood spatter arcs toward the bricks because the force pulled him in. Not out. In. You’re suggesting a portal. In a disused Underground station. With no power source. No generator. No alchemical catalyst. The catalyst is in the dust. Smell it. Ozone. Burnt hair. Copper. Same residue I pulled off Morris’s coat. The market doesn’t move because the vendors pack up. It moves because the rift shifts. They follow the tear. Tonight, someone forced it open early. Dragged a man through. Sealed it behind them. Left fake stock and scattered bones to make it look like a street deal gone sour. They wanted us to chase tunnels. They wanted us to miss the wall. Harlow stepped back. She aligned the compass with the blood crescent. The needle quivered. The hum in the bricks grew louder. Fine mortar dust sifted from the joints. A hairline fracture split the centre brick. Dark air bled through the crack. Cold. Wrong. Your runner didn’t bolt. He was taken. The attacker didn’t wash the blood. The vacuum pulled it sideways. The missing toe prints didn’t vanish. They crossed a threshold. We’re not looking at a robbery. We’re looking at an extraction. Eva wiped condensation from her lenses. She pulled a leather-bound notebook from her bag. Flipped to a dog-eared page. Shade artisans don’t craft compasses for navigation. They craft them for warnings. If the needle holds, the tear is still stabilising. It hasn’t collapsed. Then we have a window. A window to what? You step through there, you don’t come back. The archives list three documented crossings in the last century. Two returned mad. One returned as ash. Morris didn’t return at all. Harlow slipped the compass into her coat pocket. The weight settled against her ribs. She unclipped her torch. The beam cut through the damp air, hitting the fracture line. The dark air pulsed. Slow. Rhythmic. Like a lung. Call forensics. Tell them to bag the wire grid. Photograph the blood angles. Log the tokens as conductive anchors. I want a full spectral scan of that brickwork before the morning shift arrives. You’re treating a supernatural breach as a standard homicide scene. I’m treating it as evidence. The wall opened. Something came through. Something left. Physics still applies. Energy still leaves a trace. I just need to follow the trace. Eva snapped the notebook shut. She tucked another curl behind her ear. Her fingers trembled. Harlow. The last time you chased a trace like this, you lost your partner. The Met buried the file. I read the redacted copies. They don’t want you looking at the cracks. The Met looks at pavement. I look at what breaks it. Pack your notes. Stay behind the tape. If the fracture widens, you fall back to the stairs. No arguments. And if it pulls you in? Then you log the angle. And you tell them I didn’t blink. Harlow adjusted her grip on the torch. She stepped over the police line. The hum vibrated through her soles. She raised the beam. The fracture widened a millimetre. Mortar dust drifted like snow. She planted her left foot on the platform edge. She leaned forward. The compass burned cold against her ribs. She reached for the crack.
created_at"2026-04-27T10:43:10.682Z" 4/27/2026, 10:43:10 AM
model"qwen/qwen3.6-max-preview-20260420"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1551
moderation_latency(null)
generation_time243788
tokens_prompt1149
tokens_completion7664
native_tokens_prompt1100
native_tokens_completion6950
native_tokens_completion_images(null)
native_tokens_reasoning4966
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"
usage0.05564
router(null)
provider_responses
0
endpoint_id"ca7fc0c7-f23d-4ac5-b2e0-945be5b61787"
id"chatcmpl-95971b1e-ae54-9103-8f1d-29110f9eff4e"
is_byokfalse
latency1551
model_permaslug"qwen/qwen3.6-max-preview-20260420"
provider_name"Alibaba"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777286590-cjIbtaZFhnscjZw3UPrQ"
session_id(null)
api_type"completions"
id"gen-1777286590-Jk6v7WMBoXdQbRUf6WbH"
upstream_id"chatcmpl-95971b1e-ae54-9103-8f1d-29110f9eff4e"
total_cost0.05564
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)
wordCount1431
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)
44.10% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1431
totalAiIsms16
found
0
word"measured"
count1
1
word"shattered"
count1
2
word"perfect"
count1
3
word"glint"
count1
4
word"etching"
count1
5
word"magnetic"
count1
6
word"traced"
count1
7
word"aligned"
count1
8
word"quivered"
count1
9
word"weight"
count1
10
word"pulsed"
count1
11
word"rhythmic"
count1
12
word"spectral"
count1
13
word"standard"
count1
14
word"trembled"
count1
15
word"vibrated"
count1
highlights
0"measured"
1"shattered"
2"perfect"
3"glint"
4"etching"
5"magnetic"
6"traced"
7"aligned"
8"quivered"
9"weight"
10"pulsed"
11"rhythmic"
12"spectral"
13"standard"
14"trembled"
15"vibrated"
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
narrationSentences284
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount4
hedgeCount0
narrationSentences284
filterMatches
0"watch"
1"look"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences284
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen16
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1431
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions46
wordCount1431
uniqueNames16
maxNameDensity0.77
worstName"Harlow"
maxWindowNameDensity1.5
worstWindowName"Harlow"
discoveredNames
Camden2
Tube1
Quinn1
Met3
Kowalski1
High2
Street1
Harlow11
Whitechapel1
Morris4
Internal1
Affairs1
Underground1
Eva7
You5
Look4
persons
0"Quinn"
1"Met"
2"Kowalski"
3"Harlow"
4"Morris"
5"Eva"
6"You"
places
0"Camden"
1"High"
2"Street"
3"Whitechapel"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences103
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1431
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences284
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs51
mean28.06
std21.05
cv0.75
sampleLengths
090
142
26
310
419
524
648
767
819
936
1063
112
1218
134
149
1576
1643
178
1812
1911
2014
2117
2221
2353
2433
2535
2619
276
2832
2918
306
3146
3218
3381
3443
3539
3619
3724
385
3929
405
4138
4233
4310
4428
4515
4632
4730
486
4912
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences284
matches
0"are sealed"
1"are welded"
2"was taken"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs274
matches
0"was trading"
1"were waiting"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences284
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1434
adjectiveStacks0
stackExamples(empty)
adverbCount25
adverbRatio0.017433751743375175
lyAdverbCount5
lyAdverbRatio0.003486750348675035
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences284
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences284
mean5.04
std2.97
cv0.59
sampleLengths
013
18
28
314
45
59
610
76
810
93
104
117
127
137
1412
159
166
175
185
193
204
215
222
233
242
259
265
2710
282
295
308
316
324
333
347
3513
369
371
381
392
4013
419
424
432
441
456
467
474
484
492
57.75% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats31
diversityRatio0.4119718309859155
totalSentences284
uniqueOpeners117
74.40% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences224
matches
0"Then what’s it tracking?"
1"Then they vanish."
2"Just a smell of ozone"
3"Then we have a window."
4"Then you log the angle."
ratio0.022
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount56
totalSentences224
matches
0"Her boots struck the platform"
1"She tucked a stray coil"
2"You took the long way"
3"It clattered against Harlow’s toe."
4"You don’t get past the"
5"My read is a collection"
6"She dropped it into a"
7"Her eyes tracked the scuff"
8"She knelt by the blood"
9"She lifted it free."
10"It spun lazy circles, then"
11"They’re warding lines."
12"She paced toward the brick"
13"She ran her fingers along"
14"She pressed her palm flat."
15"She checked the worn leather"
16"Your collection dispute theory requires"
17"They doubled back."
18"We swept the cupboards."
19"She traced the tread marks"
ratio0.25
96.16% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount163
totalSentences224
matches
0"Harlow Quinn ducked under the"
1"Her boots struck the platform"
2"This one refused to align."
3"Emergency floods washed the arched"
4"Stalls cobbled from scaffolding and"
5"Glass ampoules caught the light,"
6"A hidden bazaar."
7"A figure crouched near the"
8"Eva Kowalski brushed grey ash"
9"She tucked a stray coil"
10"You took the long way"
11"Traffic on Camden High Street."
12"Blood on the platform edge."
13"Eva kicked a small white"
14"It clattered against Harlow’s toe."
15"A carved knucklebone, smoothed by"
16"The vendors call them tokens."
17"You don’t get past the"
18"My read is a collection"
19"Someone shorted a dealer."
ratio0.728
66.96% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences224
matches
0"Now a cordoned wreck."
1"If the needle holds, the"
2"If the fracture widens, you"
ratio0.013
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences26
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
94.6457%