Run: 2026-04-27-01KQ78YCGYCEMGR84AF7ZW5QCK

Run Details

Duration:
40.3s
Cost:
$0.008622
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 Camden platform smelled of wet iron and stale ozone. Flashlight beams cut through the damp dark, catching dust that hung motionless in the air. No drafts moved through the vaulted concrete arches. The atmosphere felt pressurized, heavy against the skin. Detective Harlow Quinn stepped over the yellow line. Her boots struck cracked platform tiles with measured steps. Salt and pepper hair clung to her scalp beneath the beam of her torch. She adjusted the worn leather watch on her left wrist. The static rose in her teeth. Three years since Morris walked into a warehouse and never walked out. The station felt familiar in the worst way. Eva Kowalski stood near a support column. Round glasses slid down her freckled nose. She tapped a silver pen against a leather-bound notebook. The worn satchel at her hip bulged with thick volumes. She did not look up when Quinn approached. You are cutting it close. Eva murmured. She tucked a damp curl behind her left ear. The body cooled for forty minutes. Quinn scanned the platform. Two bodies lay scattered across the worn concrete. One slumped against the column. The other face down near an overturned vendor stall. Blood pooled on the tiles but moved wrong. It curved outward, defying gravity. The stain formed a perfect, shallow bowl around the victim boots. Coroner timeline? Quinn asked. She kept her voice level. Her sharp jaw tightened as she noted the lack of mud on the victim clothes. Consistent with the rigor. Eva pointed the pen at the blood. Alchemy spill. A botched extraction. The residue on the tiles matches sulfur and ground iron. Someone tried to open a conduit and it backfired. Quinn stepped closer. The platform packed tight. Footprints should have marked the dust. She swept her flashlight across the tiles. Only the blood bowl remained. No tracks led to the body. No scuff marks dragged backward. No footprints. Quinn noted. Someone walks through here, they leave tracks. They did not walk. Eva crouched and dragged a gloved finger through the dust near the victim hand. The market shifts. Stands rearrange overnight. If he ordered a stall to move, someone could have walked right up to him and cut his throat. Quinn knelt. The victim fingers curled around a small brass object. Verdigris coated the casing. Protective sigils etched into the face. A compass. The needle did not point north. It vibrated against the glass, trembling toward the track bed beneath the concrete. Compass. Eva said. Veil artisan work. Points to rifts. Means he sensed an opening before the blade hit him. Quinn ran a thumb over the compass face. The etchings were not protective wards. They were binding sigils. The leather watch creaked as she flexed her wrist. The needle was not trembling toward a rift. It pointed straight down. Into the stone. Eva. Quinn said. Check the tracks behind us. Already did. Eva stood and brushed dust from her knees. Boots size ten. Standard issue. Someone brought him down. Left at the ticket booth. Probably went back up. Quinn walked to the stairs. The plastic tape hung in place. She pulled it aside. The steps below showed no footprints. The dust lay smooth and undisturbed. The tape sat untouched, draped over a rusted railing like a curtain. They did not come up here. Quinn said. They never came down. Eva frowned. Her green eyes narrowed behind the lenses. What do you mean? Quinn turned back to the body. She traced the blood pattern with her flashlight. The curve was not from a spill. It radiated outward from a single point beneath the victim chest. The blood had lifted off the tile, suspended in a thin layer, before collapsing. Look at the wool coat. Quinn said. No mud on the hem. No scuff marks on the collar. He did not drag through a damp station. He stepped in from a controlled environment. She tapped the compass. The needle is not pointing to a rift. It is pointing to the ground. And it is not vibrating. It is stuck. Eva leaned over the body. She adjusted her glasses. You are saying he was not attacked in the market? He was transported here. Quinn said. Suspended in something. Then dropped. The blood did not pool. It fell. Eva shifted her satchel strap. A displacement trap. That is theoretical. You need a bone token and a conductor to anchor it. Quinn pulled a small object from her pocket. A human knuckle bone. Polished smooth. White ceramic. She placed it on the tile between them. Found it in the victim palm when we processed the scene upstairs. Paramedic missed it. Eva stared at the bone. This came from the hand? Still warm. Quinn stood and walked to the overturned vendor stall. Shelves lay scattered. Glass vials smashed. Alchemical glass glinted under the lights. She ran her fingers along a cracked crate. The wood grain ran left to right. The splinter marks pointed inward. Someone packed him in. Quinn said. He did not walk into an ambush. He went willingly to a stall. The vendor set a trap. Used a conductor to pull him through the floor. Dropped him three stories onto the platform. Eva crossed her arms. That explains the blood pattern. It also explains why the tape hangs undisturbed. The trap bypassed the entrance entirely. Quinn nodded. She looked at the compass again. The verdigris casing matched no standard issue. The sigils were not for protection. They were for containment. The compass rested in the victim hand. The needle pointed at a specific tile beneath the body. Quinn pressed the grout line. The tile shifted three millimeters with a dry click. Eva stepped back. You think there is a mechanism underneath? Quinn knelt and dragged the tile free. Dark air rushed up from the gap. The smell of ozone intensified. Something shifted in the darkness below. Metal scraped against stone. She reached into her satchel and withdrew a pair of nitrile gloves. She slid them on. The leather satchel at Eva hip creaked as the other woman shifted her weight. Quinn peered into the gap. Her torch beam caught the edge of a brass plate etched with the same sigils. The metal ran cold. Someone is already down there. Quinn said.
created_at"2026-04-27T10:49:44.23Z" 4/27/2026, 10:49:44 AM
model"qwen/qwen3.6-flash"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency686
moderation_latency(null)
generation_time40225
tokens_prompt1149
tokens_completion6296
native_tokens_prompt1100
native_tokens_completion5565
native_tokens_completion_images(null)
native_tokens_reasoning4193
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"
usage0.0086225
router(null)
provider_responses
0
endpoint_id"2435bec9-c808-4f27-9fc8-12f3460d7b66"
id"chatcmpl-9e6c1802-8f2b-95d2-bc69-f6a8387a9d51"
is_byokfalse
latency686
model_permaslug"qwen/qwen3.6-flash"
provider_name"Alibaba"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777286984-8nzaYhM9cW8PRkXaGiuW"
session_id(null)
api_type"completions"
id"gen-1777286984-cQckYtVJMskSHa5VKAuO"
upstream_id"chatcmpl-9e6c1802-8f2b-95d2-bc69-f6a8387a9d51"
total_cost0.0086225
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)
wordCount1048
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)
42.75% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1048
totalAiIsms12
found
0
word"measured"
count1
1
word"familiar"
count1
2
word"scanned"
count1
3
word"perfect"
count1
4
word"etched"
count2
5
word"vibrated"
count1
6
word"standard"
count2
7
word"traced"
count1
8
word"processed"
count1
9
word"weight"
count1
highlights
0"measured"
1"familiar"
2"scanned"
3"perfect"
4"etched"
5"vibrated"
6"standard"
7"traced"
8"processed"
9"weight"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences174
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount1
narrationSentences174
filterMatches
0"watch"
1"think"
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences174
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen19
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1048
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
45.04% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions44
wordCount1048
uniqueNames7
maxNameDensity2.1
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Camden1
Harlow1
Quinn22
Morris1
Kowalski1
Eva14
You4
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Kowalski"
4"Eva"
5"You"
places(empty)
globalScore0.45
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences86
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1048
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences174
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs31
mean33.81
std22.05
cv0.652
sampleLengths
0108
141
222
350
424
535
636
711
843
942
1019
1142
128
1328
1439
1512
1613
1746
1859
1919
2018
2122
2239
2310
2443
2540
2623
2756
2810
2983
307
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences174
matches
0"is stuck"
1"was transported"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs197
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences174
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1049
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.019065776930409915
lyAdverbCount4
lyAdverbRatio0.0038131553860819827
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences174
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences174
mean6.02
std3.31
cv0.55
sampleLengths
010
115
28
38
48
59
614
710
86
912
108
117
127
139
1410
158
165
172
189
196
204
218
225
239
248
255
2611
272
282
295
3015
314
327
332
343
3510
369
373
384
396
407
415
426
435
442
452
467
474
4814
493
50.57% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.3448275862068966
totalSentences174
uniqueOpeners60
45.05% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences148
matches
0"Only the blood bowl remained."
1"Probably went back up."
ratio0.014
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount40
totalSentences148
matches
0"Her boots struck cracked platform"
1"She adjusted the worn leather"
2"She tapped a silver pen"
3"She did not look up"
4"You are cutting it close."
5"She tucked a damp curl"
6"It curved outward, defying gravity."
7"She kept her voice level."
8"Her sharp jaw tightened as"
9"She swept her flashlight across"
10"They did not walk."
11"It vibrated against the glass,"
12"They were binding sigils."
13"It pointed straight down."
14"She pulled it aside."
15"They did not come up"
16"They never came down."
17"Her green eyes narrowed behind"
18"She traced the blood pattern"
19"It radiated outward from a"
ratio0.27
57.97% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount119
totalSentences148
matches
0"The Camden platform smelled of"
1"Flashlight beams cut through the"
2"The atmosphere felt pressurized, heavy"
3"Detective Harlow Quinn stepped over"
4"Her boots struck cracked platform"
5"Salt and pepper hair clung"
6"She adjusted the worn leather"
7"The static rose in her"
8"The station felt familiar in"
9"Eva Kowalski stood near a"
10"She tapped a silver pen"
11"The worn satchel at her"
12"She did not look up"
13"You are cutting it close."
14"She tucked a damp curl"
15"The body cooled for forty"
16"Quinn scanned the platform."
17"The other face down near"
18"Blood pooled on the tiles"
19"It curved outward, defying gravity."
ratio0.804
33.78% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences148
matches
0"If he ordered a stall"
ratio0.007
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences24
technicalSentenceCount1
matches
0"Flashlight beams cut through the damp dark, catching dust that hung motionless in the air."
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
89.1721%