Run: 2026-05-22-01KS8635YAAH43CP9TRBW7098X

Run Details

Duration:
2m 43s
Cost:
$0.073362
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 ducked under the yellow police tape. The air in the abandoned Camden Tube station tasted of copper and stale ozone. Cracked white tiles lined the curved walls, reflecting the harsh glare of portable halogen lamps. Water dripped from a ruptured pipe somewhere in the darkness, keeping a steady, echoing rhythm. DS Thorne stood by the rusted tracks, shining his torch on a crumpled figure. "Victim is male, mid-thirties. No ID on him." Thorne clicked his torch off and shoved it into his belt. "Standard mugging. Someone slashed his throat and took his wallet." Harlow knelt beside the body. The victim wore a heavy wool coat, damp from the subterranean chill. She pulled a pair of nitrile gloves from her pocket and snapped them over her wrists. "A mugging in a sealed-off station?" Harlow traced the edge of the victim's coat. "How did he get past the barricades at street level?" "Urban explorers." Thorne gestured to the tunnel entrance. "They break the padlocks all the time. Junkies too, looking for a quiet place to shoot up." Harlow examined the victim's neck. The wound was clean, almost surgical. No jagged edges, no hesitation marks. "Junkies do not carry a blade sharp enough to sever the carotid without nicking the cervical spine." Harlow leaned closer, her nose inches from the wound. "And they do not wash the blade afterward. There is no blood spatter on his collar." Thorne crossed his arms. "He wiped it on his own coat." "The coat is dry." Harlow stood, her joints popping in the quiet station. She scanned the platform. "You checked his pockets?" "Empty. Like I mentioned, the wallet is gone." Harlow examined the victim's hands. The fingernails were clean, devoid of dirt or skin cells. "He did not fight back." Harlow turned the victim's palm upward. "No defensive wounds. No bruising on the knuckles." "The attacker took him by surprise." Thorne pointed to the dark archway. "Jumped him from the shadows." "Or he knew his attacker." Harlow pointed to the victim's boots. "Look at the soles. Clean leather. No mud, no grease. He did not walk through the maintenance shafts to get down here. Someone carried him, or he arrived via the tracks on a maintenance cart." Thorne sighed and rubbed his temples. "You are overthinking a dead drug addict." Harlow ignored him. She walked to the edge of the platform, her boots crunching on broken glass and discarded ticket stubs. She stopped at a rusted ticket booth. The glass was shattered, but the interior remained untouched by the damp. She checked her worn leather watch. The second hand swept past the twelve. Two hours since the initial call. "Transport for London closed this station in the nineties." Harlow ran a gloved finger along the ticket counter. "Yet fresh dust is disturbed here. Someone sold goods from this counter tonight." "Selling tickets to the ghost train?" Thorne scoffed, stepping up behind her. "Come on, Harlow. It is a dead drop. The guy was a courier, got rolled by a rival." Harlow flared her nostrils. A faint scent cut through the ozone and damp rot. Cinnamon and burning sulfur. "Do you smell that?" Harlow leaned into the ticket booth. Thorne sniffed the air. "Damp rot. And cheap cologne from the uniforms upstairs." "Sulfur." Harlow shone her torch into the corner of the booth. "And crushed cloves. It is a masking agent. Someone brewed alchemical compounds right here." She crouched, shining her beam beneath the counter. A small, circular indentation marked the thick layer of grime. The dust around it formed a perfect ring. "A dead drop does not require a physical stall." Harlow pointed to the indentation. "He displayed an item. Something round. Roughly three inches in diameter." Thorne rubbed the back of his neck. "A pocket watch? A compact mirror?" "Neither." Harlow reached into the victim's heavy wool coat, bypassing the empty pockets Thorne had checked. She felt the lining. Her fingers brushed a hidden seam near the armpit. She pulled a small, folding knife from her belt and sliced the stitching. A heavy brass object clattered onto the concrete. Thorne stepped closer, his torch beam illuminating the item. "What is that?" Harlow picked it up. The brass casing held a thick patina of verdigris. The face featured intricate, interlocking sigils that made her eyes water when she focused on them. "A compass." Harlow tapped the glass. The needle spun wildly before locking onto the dark tunnel leading north. "But it does not point north." "Faulty magnet." Thorne shrugged. "Look, the forensics team is waiting to bag him. Let them figure out the trinket." Harlow slipped the brass compass into an evidence bag. The needle continued to twitch, straining against the plastic. She looked back at the victim. The man's left hand remained curled into a tight fist, locked in rigor mortis. "Check his left hand again." Thorne frowned but knelt by the body. He pried the victim's stiff fingers open. A small, yellowed piece of bone fell onto the tracks. "A knuckle?" Thorne picked it up with his tweezers. "Some kind of weird jewellery?" "A token." Harlow stared at the bone. Her chest tightened, a familiar cold dread pooling in her stomach. Three years ago, DS Morris had held a similar piece of carved bone right before he vanished into the Thames. She rubbed the face of her leather watch, the worn leather smooth against her thumb. "It grants entry." "Entry to where?" Thorne dropped the bone into a plastic tube. "The station is already open." "Not this station." Harlow looked down the black throat of the northern tunnel. The compass needle in her hand vibrated, humming against her palm. "The Veil Market. It moves every full moon. Tonight is the full moon." Thorne laughed, a short, barking sound that echoed off the tiled walls. "The Veil Market? You read too many fairy tales, Harlow. It is an underground black market for dodgy alchemy, sure, but it is not magic." "Morris thought it was magic." Harlow kept her voice level, her military bearing locking her spine straight. "He died because he thought it was just a fairy tale." Thorne wiped his hands on his trousers. "Morris slipped on a wet embankment. The coroner ruled it an accidental drowning." "The coroner did not see the water in his lungs was saltwater, while he fell into the freshwater Thames." Harlow turned her back on the tunnel. "Seal off the northern track. I want every inch of that tunnel searched. If the Market was here tonight, they left a trail." Thorne pulled his radio from his shoulder. "Control, this is DS Thorne. We need the dog unit down at the Camden sidings. Yes, all of them." Harlow walked back to the ticket booth. She knelt and examined the floor beneath the counter. Faint scuff marks led away from the booth, heading toward the northbound tunnel. The marks were narrow, spaced evenly apart. "They used a trolley." Harlow traced the scuff marks with her torch. "Heavy loads. Barrels or crates." "Crates of what?" Thorne asked, lowering his radio. "Banned alchemical substances." Harlow stood and followed the tracks. "The Veil Compass points to supernatural rifts. If the needle is pulling toward the tunnel, the rift is still open. The Market did not just pack up and leave. They are still moving goods." Thorne unholstered his Glock. "You want to go down there? Without backup?" "Backup makes noise." Harlow drew her own weapon, checking the chamber before sliding it back into its holster. "And noise closes rifts. Stay here. Log everyone who comes through that tape. If anyone tries to leave the tunnel, detain them." "Harlow, the superintendent will have my badge if I let you go into an unsecured tunnel alone." "Tell the superintendent I am securing the perimeter." Harlow stepped over the rusted turnstile and clicked her torch off, letting the tunnel darkness swallow her.
created_at"2026-05-22T15:50:33.689Z" 5/22/2026, 3:50:33 PM
model"qwen/qwen3.7-max-20260520"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1585
moderation_latency(null)
generation_time163198
tokens_prompt1149
tokens_completion10180
native_tokens_prompt1100
native_tokens_completion9415
native_tokens_completion_images(null)
native_tokens_reasoning7580
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"
service_tier(null)
usage0.0733625
router(null)
provider_responses
0
endpoint_id"6d30fdc6-f2a7-4bdf-b6ba-32353496d723"
id"chatcmpl-1a9329f9-d37a-9361-a60b-62b98bb64572"
is_byokfalse
latency1585
model_permaslug"qwen/qwen3.7-max-20260520"
provider_name"Alibaba"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.15.0; linux; x64))"
http_referer(null)
request_id"req-1779465033-zDhnToR5s4dbzTNq05nM"
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api_type"completions"
id"gen-1779465033-VBFqGpdrhfOkKNNusBL4"
upstream_id"chatcmpl-1a9329f9-d37a-9361-a60b-62b98bb64572"
total_cost0.0733625
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
totalTags27
adverbTagCount0
adverbTags(empty)
dialogueSentences62
tagDensity0.435
leniency0.871
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1317
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)
50.65% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1317
totalAiIsms13
found
0
word"echoing"
count1
1
word"standard"
count1
2
word"chill"
count1
3
word"traced"
count2
4
word"scanned"
count1
5
word"shattered"
count1
6
word"perfect"
count1
7
word"intricate"
count1
8
word"familiar"
count1
9
word"stomach"
count1
10
word"vibrated"
count1
11
word"echoed"
count1
highlights
0"echoing"
1"standard"
2"chill"
3"traced"
4"scanned"
5"shattered"
6"perfect"
7"intricate"
8"familiar"
9"stomach"
10"vibrated"
11"echoed"
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
narrationSentences86
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences86
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences121
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1317
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions53
wordCount745
uniqueNames7
maxNameDensity3.76
worstName"Harlow"
maxWindowNameDensity6
worstWindowName"Harlow"
discoveredNames
Camden1
Tube1
Thorne20
Harlow28
Morris1
Thames1
Glock1
persons
0"Thorne"
1"Harlow"
2"Morris"
places
0"Thames"
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences69
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1317
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences121
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs52
mean25.33
std13.14
cv0.519
sampleLengths
051
114
229
333
424
525
617
742
811
921
108
1115
1219
1317
1446
1513
1659
1731
1830
1918
2010
2113
2225
2326
2425
2513
2642
278
2812
2929
3024
3119
3238
335
3424
3514
3656
3716
3837
3937
4028
4120
4249
4326
4436
4517
468
4743
4812
4940
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences86
matches
0"was shattered"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs142
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences121
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount745
adjectiveStacks0
stackExamples(empty)
adverbCount11
adverbRatio0.01476510067114094
lyAdverbCount2
lyAdverbRatio0.0026845637583892616
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences121
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences121
mean10.88
std6.09
cv0.56
sampleLengths
07
114
215
315
414
519
610
75
812
916
1014
1110
128
1317
145
156
166
1726
1816
194
207
2113
224
234
248
255
2610
2711
288
2912
305
3111
3235
336
347
353
3618
377
3812
396
407
416
4218
4313
4412
4518
464
4710
484
4910
66.94% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.4214876033057851
totalSentences121
uniqueOpeners51
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences85
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount14
totalSentences85
matches
0"She pulled a pair of"
1"She scanned the platform."
2"She walked to the edge"
3"She stopped at a rusted"
4"She checked her worn leather"
5"She crouched, shining her beam"
6"She felt the lining."
7"Her fingers brushed a hidden"
8"She pulled a small, folding"
9"She looked back at the"
10"He pried the victim's stiff"
11"Her chest tightened, a familiar"
12"She rubbed the face of"
13"She knelt and examined the"
ratio0.165
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount80
totalSentences85
matches
0"Harlow ducked under the yellow"
1"The air in the abandoned"
2"Water dripped from a ruptured"
3"DS Thorne stood by the"
4"Thorne clicked his torch off"
5"Harlow knelt beside the body."
6"The victim wore a heavy"
7"She pulled a pair of"
8"Harlow traced the edge of"
9"Thorne gestured to the tunnel"
10"Harlow examined the victim's neck."
11"The wound was clean, almost"
12"Harlow leaned closer, her nose"
13"Thorne crossed his arms."
14"Harlow stood, her joints popping"
15"She scanned the platform."
16"Harlow examined the victim's hands."
17"The fingernails were clean, devoid"
18"Harlow turned the victim's palm"
19"Thorne pointed to the dark"
ratio0.941
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences85
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount1
matches
0"The face featured intricate, interlocking sigils that made her eyes water when she focused on them."
87.96% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags27
uselessAdditionCount2
matches
0"Harlow stood, her joints popping in the quiet station"
1"Harlow kept, her military bearing locking her spine straight"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences62
tagDensity0.016
leniency0.032
rawRatio0
effectiveRatio0
83.5184%