Run: 2026-09-02-01M1HJ8FZ1XEJXNYYPBXH3SDWK

Run Details

Duration:
5m 21s
Cost:
$0.013610
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 old station sign showed Camden Town, but its enamel face had cracked into thin lines. Quinn stepped through the broken ticket gate with her badge raised and a bone token in a gloved hand. The token smelled of nothing. A token that carried blood held salt and iron. Quinn passed the second turnstile without a token. The officer at the gate checked her wrist, not her credentials. She let him. She liked nothing. Nothing left a trail. Beyond the gate, the platform curved beneath floodlights. Tiles showed a skin of green and grey. A row of market stalls huddled along the platform edge, canvas folded, hooks bare. Glass vials sat on a bench with labels chewed off. A police line snapped from a dead ticket machine to a stack of crates. No vendor moved behind the banners. No buyer stood among the stalls. The Veil Market had come to the old station and gone silent. Quinn’s boots hit the platform in even intervals. She checked her leather watch. The dial rode on her left wrist, its worn strap leaving a warm band against her skin. Nineteen minutes past the hour. The full moon pulled the Market before dawn. It did not move. Something had held it. DS Rourke stood near the line. His jacket hung open. His notebook lay under a brick. He had written the discovery time over the first line. The new line pressed through the paper. “Body’s at the track edge.” Eva sat on an overturned crate, satchel open across her knees. Books leaned inside the leather mouth. She tucked a red curl behind her left ear. “He didn’t walk in.” Quinn approached. “Then how did he pass the token?” Rourke jerked his thumb toward the dead man’s hand. “Bone token’s clenched in there. Could be fake.” Eva shook her head. “Not a fake. Shade bone. A human token leaves a chip at the end. A Shade token grows one.” The victim lay face up, arms bent at the elbows. He wore a grey coat. No hat. No gloves. A square of wet cloth pressed against his sternum. The Veil Compass sat on the cloth. Its casing carried verdigris along the hinge and around the lid. Protective sigils ran around its face like fine teeth. The needle held at the body’s chest. A thin line of blue powder crossed the platform behind the body. It lay in the groove of the old tile, then ended at a bench of vials. The powder had not smeared beneath the police line. Rourke followed Quinn’s stare. “Stall dust.” Eva tilted her satchel. “Stall dust stays where it is sold.” The vials on the bench had wax plugs with fresh knife cuts. Someone had bought one before the body fell. Quinn photographed the dust, then the body, then the seam. Rourke’s shadow cut across the tile. “Portal in the man. Someone cut him to close it.” Quinn looked at the compass. She looked at the body. The wall behind the body held old advertising enamel, torn at the corners. “Does this station have portals?” Eva lifted her chin. “The Market keeps its doors under things people forget.” Rourke made a short sound at the back of his throat. “Occult poetry from the Museum.” Eva’s mouth tightened. “Research notes from the Museum. The compass came from a Shade artisan. He would know how to use it.” Quinn crouched. Her knees touched tile. The floor held cold, but damp did not pass through her trousers. The compass sat in the wet square, and the square did not shift when she tilted the body with a gloved hand. It stuck to the coat. Quinn examined the verdigris at close range. It carried no thumb wear. A ring of green dust collected under the lid. The same dust rested in the weave above the cloth. Not many flakes. Enough. She took a fresh pair of gloves from her pocket, snapped them on, and lifted the compass two inches from the cloth. The needle swung toward her face, then dropped. It aimed through the body at the platform edge. Rourke stepped forward. “What are you doing?” “Checking what it likes.” Quinn set the compass on empty tile. The needle aimed at the dead man’s ribs. She slid her hand beneath his shoulders and lifted him a few inches. The needle did not follow the body. It stayed fixed on the space beneath it. She lowered him. The needle trembled toward the platform. Eva stood, glasses catching the floodlight. “It doesn’t point through the body.” Quinn looked at the track edge. The body lay close to it. The tile seam under his hips had a hairline gap. Not cracked tile. Cut grout. Someone had lifted the tile and set it back. The grout showed dry in the middle and dark along its edges. The fresh cut had not taken damp. A current moved beneath the line. It touched the back of Quinn’s hand and smelled of salt and iron. She stood. “Rourke.” He kept his arms crossed. “Don’t.” Quinn ignored him. “Roll him to the left.” Two officers moved to the line. They looked at Rourke. Quinn showed the compass, then the cut grout. “Roll him.” The officers eased the body onto its side. The cloth square and compass stayed with the coat. The needle swung toward the gap. The gap widened with the body gone. A narrow black line opened beneath the tile, running along the seam toward the track bed. Rourke’s jaw worked. “Drain?” Eva crouched beside the gap. Her satchel strap hung over one shoulder. “No drain on this platform. The old maps show a goods lift below.” Quinn knelt. Her brown eyes followed the line. The cut grout did not run under the body alone. It traced a rounded rectangle, a tile panel cut from the platform edge. The panel sat proud of the rest of the floor. The seam around it showed clean scrape marks. Fresh work. She looked down the track bed. Beyond the line, the platform held no open stalls, no buyers, no vendor’s banners. The Market had not moved here for business. It had moved here to cover a door. The dead man’s fist held the bone token. Quinn pried the fingers open with two gloved hands. The token came loose. One edge showed a notch, not a bite mark. The groove ran shallow near the tip and deep near the base. The cut showed age. Rourke leaned back. “You’re reading into a bone.” Eva watched Quinn’s fingers. “The Market needs a token to enter. A door needs a token to open.” Quinn held the token over the cut seam. Her hand stopped. The token did not touch the floor. It turned in her fingers, settling against the notch with the ease of an old habit. Her sharp jaw tightened. “Someone didn’t bring him into the Market.” Rourke straightened. “He has the token.” Quinn placed the token in her palm. “The token brought someone out.”
created_at"2026-09-02T17:22:23.46Z" 9/2/2026, 5:22:23 PM
model"qwen/qwen3.8-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5718
moderation_latency(null)
generation_time292798
tokens_prompt1112
tokens_completion28383
native_tokens_prompt1138
native_tokens_completion28886
native_tokens_completion_images(null)
native_tokens_reasoning27336
native_tokens_cached1024
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)
usage0.013609904
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788369743-yn5XZHQSCg8ytDTe34qv"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788369743-7d0A6ufq4nia4QLkno2B"
upstream_id"chatcmpl-75ffc4e8-4044-9ae7-95ca-e66c9c824f91"
provider_responses
0
endpoint_id"84b1e4a7-5aed-4464-818f-1994f0b4ee18"
id"chatcmpl-75ffc4e8-4044-9ae7-95ca-e66c9c824f91"
is_byokfalse
latency5718
model_permaslug"qwen/qwen3.8-flash-20260826"
provider_name"Alibaba"
status200
total_cost0.013609904
cache_discount0.000137216
upstream_inference_cost0
provider_name"Alibaba"
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
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1167
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)
91.43% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1167
totalAiIsms2
found
0
word"trembled"
count1
1
word"traced"
count1
highlights
0"trembled"
1"traced"
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
narrationSentences132
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences132
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences158
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen22
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1167
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
54.52% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions45
wordCount995
uniqueNames8
maxNameDensity1.91
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Camden1
Town1
Veil2
Market3
Rourke10
Compass1
Quinn19
Eva8
persons
0"Market"
1"Rourke"
2"Compass"
3"Quinn"
4"Eva"
places
0"Camden"
1"Town"
globalScore0.545
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences87
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1167
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences158
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs72
mean16.21
std17.59
cv1.085
sampleLengths
049
122
27
378
451
533
65
726
84
92
107
119
128
134
1419
1555
167
1741
182
194
207
2120
2216
2310
2423
255
264
279
2811
295
303
3119
3245
3335
3439
353
364
374
3843
399
406
416
4255
4319
442
451
465
471
483
495
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences132
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs162
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences158
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount995
adjectiveStacks0
stackExamples(empty)
adverbCount6
adverbRatio0.006030150753768844
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences158
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences158
mean7.39
std4.25
cv0.576
sampleLengths
016
119
25
39
48
511
63
73
84
98
108
1114
1210
1314
146
156
1612
178
185
1917
205
218
224
234
246
254
266
2710
287
295
3011
316
329
334
342
357
369
378
384
3919
4010
415
422
432
449
457
4611
479
487
4912
42.41% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.2721518987341772
totalSentences158
uniqueOpeners43
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences122
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount31
totalSentences122
matches
0"She let him."
1"She liked nothing."
2"She checked her leather watch."
3"It did not move."
4"His jacket hung open."
5"His notebook lay under a"
6"He had written the discovery"
7"She tucked a red curl"
8"He wore a grey coat."
9"Its casing carried verdigris along"
10"It lay in the groove"
11"She looked at the body."
12"Her knees touched tile."
13"It stuck to the coat."
14"It carried no thumb wear."
15"She took a fresh pair"
16"It aimed through the body"
17"She slid her hand beneath"
18"It stayed fixed on the"
19"She lowered him."
ratio0.254
0.98% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount112
totalSentences122
matches
0"The old station sign showed"
1"Quinn stepped through the broken"
2"The token smelled of nothing."
3"A token that carried blood"
4"Quinn passed the second turnstile"
5"The officer at the gate"
6"She let him."
7"She liked nothing."
8"Nothing left a trail."
9"Tiles showed a skin of"
10"A row of market stalls"
11"Glass vials sat on a"
12"A police line snapped from"
13"The Veil Market had come"
14"Quinn’s boots hit the platform"
15"She checked her leather watch."
16"The dial rode on her"
17"The full moon pulled the"
18"It did not move."
19"Something had held it."
ratio0.918
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences122
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
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
86.3114%