Run: 2026-04-27-01KQ7953N605K7THR3ZXT01ERQ

Run Details

Duration:
3m 26s
Cost:
$0.052629
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
The escalator groaned under Harlow’s boots. Rust flaked from the handrails, drifting into the stagnant air of the abandoned Camden station. Yellow police tape crisscrossed the ticket hall. Forensic lamps carved harsh white cones through suspended dust. The place carried the damp odour of wet concrete and old copper. A body lay near the defunct Oyster gates. Male. Late thirties. Throat opened. Blood pooled in the cracked grout lines, but the spread looked wrong. Too thin. Too symmetrical. Like someone poured it from a measuring jug rather than let it pump from a severed artery. A figure crouched beside the corpse. Curly red hair escaped a wool beanie. Round glasses caught the lamp glare. She adjusted a worn leather satchel strap across her shoulder and brushed gloved fingers over a brass disc resting near the victim’s outstretched hand. Step over the chalk. You will smudge the only honest thing in this room. Harlow halted. Her watch strap creaked as she flexed her wrist. Eighteen years on the Met taught her to read architecture before people. This hall screamed fabrication. Metropolitan Police. Detective Quinn. You are with the museum liaison office. Eva Kowalski. Archives consultant. They rang me when the uniformed officers found the token. Eva straightened. She tucked a red curl behind her left ear. Her gloves held up a sliver of yellowed bone, carved with interlocking rings. Entry chit. Not Oyster. Not contactless. Bone. Harlow stepped past the tape. Her boots clicked against broken tiles. She studied the blood pool. The edges feathered into perfect concentric rings. No spatter on the nearby pillar. No drag marks. No defensive scoring on the victim’s knuckles. Throat slit. Bleed out. Standard execution. Standard executions do not leave geometric haemorrhage patterns. Look at the grout. The blood soaked downward, not outward. He was dead before he hit the floor. Someone arranged him here. Harlow crouched. The damp cold seeped through her trousers. She traced the air above the pool without touching it. The copper smell carried an undertone. Ozone. Burnt rosemary. Something chemical and old. You are telling me a killer carried a full-grown man down three flights of broken escalators, laid him out like a shop window mannequin, and poured his own blood around him for aesthetics. I am telling you this station is not a station tonight. It is a crossroads. The full moon hit six hours ago. The market shifts. People trade here. They do not murder in the open. Harlow’s jaw tightened. She tracked the scuff marks near the turnstiles. Boot prints. Size ten. Deep heel strikes. They stopped three feet from the body and reversed. No approach. No departure. Just a pivot. Footprints belong to the first responding officer. PC Davies. He logged his own steps. Davies wears nines. And he walks flat-footed. These prints dig into the ball. Someone paced. Waited. Checked a timepiece. Eva tapped the brass disc with her knuckle. The needle inside quivered. It did not point north. It spun lazy circles, then locked toward the dark mouth of the eastbound tunnel. Shadow compass. Shade craftsmanship. The sigils on the face are warding runes. Needle tracks rifts, not magnetic fields. It pulls toward the platform edge. Harlow stood. Her knees popped. She walked to the tunnel entrance. The forensic lights died at the threshold. Beyond lay blackness and the steady drip of condensation. She clicked on her torch. The beam cut through suspended dust. The rails gleamed with a slick, iridescent film. Not oil. Not water. Something viscous. It clung to the wooden sleepers in thick strands. Residue matches the blood pool. Same viscosity. Same ozone sting. Alchemical runoff. Someone opened a temporary gate. The backlash scorched the rails. Your victim stood too close. The tear snapped shut. Took his throat with it. Harlow swept the beam along the tunnel wall. Soot marked the bricks in a vertical arc. Three feet wide. Seven feet high. The edges feathered into fractal patterns. Heat distortion. Not fire. Pressure. Gates do not slit throats. Blades do. Blades leave metal shavings. Tool marks. This leaves ionisation. Look at his collar. Harlow returned to the body. She leaned in. The victim’s shirt collar bore a crisp, blackened line. Perfectly straight. No fraying. No fabric compression. The skin beneath showed a clean parting, cauterised at the microscopic level. No bruising. No hesitation marks. Clean cut. Surgical. Dimensional shear. The rift collapsed while he stood in the threshold. The closing edge passed through his neck. Instant. The killer did not touch him. They just lured him to the marker and triggered the compass. Harlow straightened. She rolled her shoulders. The leather watch band pressed into her wrist. Three years ago, Morris died in a warehouse fire that left no ash and melted steel beams into glass. The report called it faulty wiring. She knew better. She just lacked the vocabulary. You are suggesting our suspect weaponised a door. I am suggesting the market has rules. You break them, the architecture breaks you. The bone token bought him entry. The compass aligned the tear. Someone knew the coordinates. Someone knew the timing. Harlow paced the perimeter. Her eyes tracked the dust distribution. Thick near the walls. Thin near the centre. Except for a perfect circle around the body. Swept clean. Recently. If the tear killed him, why sweep the floor. To hide the anchor chalk. You need a baseline to stabilise a temporary rift. Three points. Triangular geometry. The killer wiped two. Left the third by accident. Harlow dropped to one knee. She angled her torch low. The light caught a faint white smudge near the victim’s left heel. Not chalk. Crushed gypsum. Mixed with iron filings. She followed the invisible line. It pointed toward a rusted maintenance door. The handle bore a fresh scratch. Brass on steel. Your third point sits behind that door. Someone stood there. Held the compass. Watched him step into the threshold. And closed it when he crossed. Harlow pushed the door. The hinges screamed. Cold air rushed out. The room beyond housed dead switchgear and coiled cables. On the concrete floor, a perfect triangle of crushed gypsum gleamed under her torch. At the centre rested a second bone token. Charred at the edges. Split down the middle. Two tokens. One for entry. One for the operator. The killer did not just know the market. They worked it. Eva stepped into the doorway. Her satchel brushed the frame. She adjusted her glasses. The green lenses reflected the gypsum lines. The Veil does not tolerate amateurs. This was a professional hit. Disguised as a botched robbery. The uniformed officers saw a slit throat and a dead dealer. They logged it as gang violence. They missed the geometry. They missed the residue. They missed the fact that the blood pool matches the exact diameter of a standard warding circle. Harlow holstered her torch. She stepped back into the main hall. The forensic team packed their kits. The photographer snapped final frames of the wrong angles. The scene report would list a blade. A struggle. A motive rooted in street debt. She looked at the compass. The needle still pointed into the dark. It trembled. Not from vibration. From resonance. The rift left an echo. A frequency. She could feel it in her molars. Davies logged the scene at zero two hundred hours. Moon peaked at zero one forty seven. The tear opened at zero one fifty. Three minutes to align. Two minutes to trigger. One minute to wipe the chalk and walk out. You are counting seconds on a supernatural event. I am counting seconds on a murder. The compass did not kill him. A person did. A person who knew the market schedule. Knew the token requirement. Knew how to stabilise a tear long enough to use it as a guillotine. That person left a scratch on the door handle. Left iron in the gypsum. Left a charred token in the switch room. They planned it. They executed it. They walked away. Eva tugged her beanie lower. Her fingers lingered on the satchel buckle. The market moves at dawn. The evidence moves with it. If you want the operator, you need to read the compass before the station resets. Harlow unclipped her evidence bag. She stepped toward the brass disc. The verdigris flaked under the forensic lamps. The protective sigils caught the light. She did not touch it. She studied the needle’s tremor. It pulsed in a rhythm. Short. Long. Short. Not random. Coded. It is not pointing at a rift. It is pointing at a trail. The operator did not just leave. They dragged something through the tear. The needle tracks the residue. Not the door. Eva froze. Her hand stopped mid-tuck. Residue degrades in twenty minutes. That trail is still live. Harlow turned toward the eastbound tunnel. The iridescent film on the rails thickened. It pooled near the third rail. It curved around a maintenance ladder. It climbed the rungs. They did not walk out. They climbed. Up to the ventilation shaft. Out to the street. The compass tracks the bleed. We follow the bleed, we find the operator. She stepped over the tape. Her boots hit the platform edge. The ozone sting sharpened. The needle locked onto the ladder. The rhythm pulsed faster. Pack the kit. Leave the body. We are moving.
created_at"2026-04-27T10:53:24.524Z" 4/27/2026, 10:53:24 AM
model"qwen/qwen3.6-max-preview-20260420"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1527
moderation_latency(null)
generation_time206385
tokens_prompt1149
tokens_completion7213
native_tokens_prompt1100
native_tokens_completion6564
native_tokens_completion_images(null)
native_tokens_reasoning4443
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"
usage0.0526292
router(null)
provider_responses
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endpoint_id"ca7fc0c7-f23d-4ac5-b2e0-945be5b61787"
id"chatcmpl-c6d17b37-2701-9c3c-8817-17855fa5f288"
is_byokfalse
latency1527
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-1777287204-G2RLerOGFKr4bAkOTwy1"
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api_type"completions"
id"gen-1777287204-b9XHy39SdWxxV3MWVrAN"
upstream_id"chatcmpl-c6d17b37-2701-9c3c-8817-17855fa5f288"
total_cost0.0526292
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
96.79% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1557
totalAiIsmAdverbs1
found
0
adverb"perfectly"
count1
highlights
0"perfectly"
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)
45.41% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1557
totalAiIsms17
found
0
word"perfect"
count3
1
word"standard"
count3
2
word"traced"
count1
3
word"quivered"
count1
4
word"magnetic"
count1
5
word"aligned"
count1
6
word"trembled"
count1
7
word"resonance"
count1
8
word"echo"
count1
9
word"could feel"
count1
10
word"pulsed"
count2
11
word"coded"
count1
highlights
0"perfect"
1"standard"
2"traced"
3"quivered"
4"magnetic"
5"aligned"
6"trembled"
7"resonance"
8"echo"
9"could feel"
10"pulsed"
11"coded"
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
narrationSentences292
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences292
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences292
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1557
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
totalMentions50
wordCount1557
uniqueNames15
maxNameDensity0.96
worstName"Harlow"
maxWindowNameDensity1.5
worstWindowName"Harlow"
discoveredNames
Harlow15
Camden1
Oyster2
Met1
Police1
Quinn1
Kowalski1
Davies3
Morris1
Veil1
You7
Eva6
Three4
Left3
One3
persons
0"Harlow"
1"Oyster"
2"Met"
3"Quinn"
4"Kowalski"
5"Davies"
6"Morris"
7"Veil"
8"You"
9"Eva"
places
0"One"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences117
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1557
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences292
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs57
mean27.32
std15.83
cv0.579
sampleLengths
049
146
243
314
427
511
614
724
87
939
106
1130
1232
1333
1435
1534
1614
1719
1831
1924
2061
2110
2226
2333
247
2513
2641
273
2836
2947
308
3133
3229
339
3427
3551
3619
376
3850
3920
4021
4158
4241
4333
4440
458
4672
4712
4825
4945
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences292
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs277
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences292
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1560
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.014102564102564103
lyAdverbCount4
lyAdverbRatio0.002564102564102564
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences292
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences292
mean5.33
std3.67
cv0.687
sampleLengths
06
115
27
39
412
58
61
72
82
912
102
112
1217
136
147
156
1624
174
1810
192
209
2112
224
232
242
257
262
272
2810
292
309
3113
322
332
342
351
365
376
385
397
406
413
427
432
442
452
468
474
486
498
47.37% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats40
diversityRatio0.3664383561643836
totalSentences292
uniqueOpeners107
29.63% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences225
matches
0"Just a pivot."
1"Up to the ventilation shaft."
ratio0.009
92.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount72
totalSentences225
matches
0"She adjusted a worn leather"
1"You will smudge the only"
2"Her watch strap creaked as"
3"You are with the museum"
4"They rang me when the"
5"She tucked a red curl"
6"Her gloves held up a"
7"Her boots clicked against broken"
8"She studied the blood pool."
9"He was dead before he"
10"She traced the air above"
11"You are telling me a"
12"I am telling you this"
13"It is a crossroads."
14"They do not murder in"
15"She tracked the scuff marks"
16"They stopped three feet from"
17"He logged his own steps."
18"It did not point north."
19"It spun lazy circles, then"
ratio0.32
86.67% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount168
totalSentences225
matches
0"The escalator groaned under Harlow’s"
1"Rust flaked from the handrails,"
2"The place carried the damp"
3"A body lay near the"
4"Blood pooled in the cracked"
5"A figure crouched beside the"
6"She adjusted a worn leather"
7"You will smudge the only"
8"Her watch strap creaked as"
9"This hall screamed fabrication."
10"You are with the museum"
11"They rang me when the"
12"She tucked a red curl"
13"Her gloves held up a"
14"Harlow stepped past the tape."
15"Her boots clicked against broken"
16"She studied the blood pool."
17"The edges feathered into perfect"
18"The blood soaked downward, not"
19"He was dead before he"
ratio0.747
66.67% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences225
matches
0"If the tear killed him,"
1"To hide the anchor chalk."
2"If you want the operator,"
ratio0.013
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
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
92.1511%