Run: 2026-04-24-01KQ04VK7AC4X7DY19NA14N6YQ

Run Details

Duration:
39.7s
Cost:
$0.005937
Provider:
Xiaomi

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 air in the abandoned Camden Town station tasted of damp concrete and ozone. Harlow Quinn stepped over the police tape, her worn leather watch catching the harsh glare of the portable work lights. The scene was a mess. A body lay in the centre of the derelict platform, arranged like a grotesque marionette with its limbs at unnatural angles. But it was the surroundings that made her jaw tighten. No scuff marks. No displaced grit on the floor thick with decades of dust. The victim, a man in a cheap suit, had been heavy-set. His shoes were clean. He hadn't walked here. “Detective.” Her colleague, a uniformed sergeant named Davies, hurried over, his face pale. “Forensics are just starting. Looks like a ritualistic thing. There are symbols…” Quinn ignored him, her eyes scanning the tiled walls. Faded posters from the 1970s curled at the edges. A train rumbled somewhere far above, a low, visceral hum. She crouched, not touching the body, but examining the hand nearest to her. The fingernails were immaculate, except for one on the right index finger, which had a faint, silvery smear. Not dirt. Not paint. “The symbols,” she said, her voice flat. “Where?” Davies pointed a shaky flashlight toward a small alcove near a collapsed section of old track. There, scratched into the grime-coated brick, were three interconnected circles. The lines were hesitant, not the confident strokes of a fanatic. Someone had drawn them in a hurry. “Witness?” Quinn asked. “Anonymous tip. Called it in from a payphone three blocks away. Said to look for ‘the accountant who skimmed the wrong ledger.’” Quinn stood, her salt-and-pepper hair brushing the collar of her trench coat. An accountant. She looked back at the body. The suit was off-the-rack but new. The tie was silk, knotted with precision. This man cared about appearances. He wouldn't come down to a derelict station willingly, not unless he thought he was meeting a client. Or running from someone. Her gaze caught on a small object near the body's outstretched left hand, half-hidden by a loose brick. It glinted. Not gold. Brass. “Don’t touch that,” she commanded, stopping Davies’s foot mid-step. She pulled on a glove and gently nudged the brick aside. It was a compass. Small, brass, its casing worn with a greenish patina. The face was strange, etched with swirling patterns that weren’t cardinal points. The needle, a sliver of black metal, wasn’t pointing north. It was trembling, aimed directly at the collapsed section of track. “Some kind of antique,” Davies offered. “Part of the ritual?” “It’s pointing at nothing,” Quinn murmured. But the air near the collapse felt different. Heavy. The hairs on her arms prickled. She thought of Morris, her partner, and the case three years ago that ended with him gone and files sealed with language she didn’t understand. *Unexplained circumstances.* “Maybe the killer dropped it. A memento.” Davies sounded eager for a simple explanation. “The killer didn’t drop it. Look at the dust pattern.” Quinn gestured to the floor around the compass. It sat in a small, clean circle, as if it had been placed there deliberately, recently. Everything else was layered in grime. “And our victim’s hands are clean. He didn’t draw those symbols. He didn’t scratch that compass onto his nail polish.” A commotion at the tape line drew her attention. A young woman with a riot of red curls and round glasses was arguing with a constable. She clutched a worn leather satchel to her chest like a shield. “Let her through,” Quinn called, her voice cutting through the echo. Eva Kowalski ducked under the tape, her green eyes wide behind the lenses. She scanned the scene, her gaze lingering on the symbols and then, with a sharp intake of breath, on the compass in Quinn’s gloved hand. “You shouldn’t be here, Eva,” Quinn said, but there was no heat in it. “You called me,” Eva retorted, tucking a stray curl behind her left ear. “You said ‘unusual location, inconsistent evidence.’ This… this is a Veil Market night. It was supposed to be here. Abandoned Camden station, full moon cycle.” Davies looked between them, confused. “A what?” Eva ignored him, stepping closer to the compass. “The sigils in the alcove. They’re not a ritual. They’re a ward. Meant to keep something contained. Or warn it away.” Her voice dropped. “And that compass… it’s not antique. It’s a Veil Compass. It points to rifts. Thin places.” Quinn’s mind worked, slotting pieces that felt like they belonged to different puzzles. The clean shoes. The precise placement. The symbols drawn in haste, not malice, but panic. The compass pointing at a collapsed wall that hummed with a pressure you could feel in your teeth. “A Veil Market,” Quinn said, the words unfamiliar. “A black market for… enchanted goods. Banned substances.” Eva nodded, her freckled complexion ashen. “It moves. The entry requires a bone token. If he was an accountant who skimmed the wrong ledger…” She looked at the body with pity. “He might have been laundering funds. Or goods. For them.” “So he’s killed for stealing from supernatural criminals,” Davies said, finally catching up. “We’re looking for a hitman. Some kind of… magical hitman.” Quinn shook her head. “No. Look at him. No visible trauma. No struggle. He’s not arranged as a warning. He’s displayed.” She pointed to his posture, the way his head was tilted, as if listening. “This isn’t punishment. This is a message, but not the kind you think. The symbols are a ward. The compass points to a rift.” She looked at Eva. “They weren’t killing him. They were using him.” Eva’s eyes widened in understanding. “A key. Or a lure. Some entities… they’re drawn to specific energies. A life force, extinguished in a certain way, in a certain place…” The hum from the collapsed tunnel grew stronger. The needle on the compass in Quinn’s hand vibrated violently, spinning now, no longer pointed. The work lights flickered. Somewhere in the dark beyond the police tape, a sound echoed—not a train, but a low, resonant chime, like a tuning fork struck against stone. Quinn’s gaze snapped back to the victim’s hand. The silvery smear on the fingernail. She bent closer. It wasn’t paint. It was a dusting of fine, metallic powder that seemed to absorb the light. “He touched the rift,” Quinn stated. “Or something from it. That’s the evidence. That’s the connection they thought no one would see.” Davies fumbled for his radio. “I’ll call for backup. Get a specialist unit down here.” Quinn stood, her worn leather watch suddenly feeling heavy on her wrist. The weight of years, of cases that ended in sealed files and silent phone calls. The evidence didn’t add up because they were looking at a crime scene for a different kind of crime. She watched the compass needle finally still, pointing again at the collapsed tunnel, unwavering. “He wasn’t killed for stealing money,” Quinn said, her voice quiet against the growing hum. “He was killed because he touched something he shouldn’t have. And whatever he let through…” She looked from Eva’s terrified face to the ward symbols on the wall. “It’s still here. And it’s not alone.”
created_at"2026-04-24T16:23:37.468Z" 4/24/2026, 4:23:37 PM
model"xiaomi/mimo-v2.5-pro-20260422"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1522
moderation_latency(null)
generation_time39571
tokens_prompt1149
tokens_completion2290
native_tokens_prompt1035
native_tokens_completion1907
native_tokens_completion_images(null)
native_tokens_reasoning264
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"
usage0.0059368
router(null)
provider_responses
0
endpoint_id"5c24ecc9-5ba1-4af0-8877-3402889e7d0a"
id"c13d0483eb154236917dc1f825374d71"
is_byokfalse
latency1444
model_permaslug"xiaomi/mimo-v2.5-pro-20260422"
provider_name"Xiaomi"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777047817-h3yqxHUwB2aiBNxhYLax"
session_id(null)
api_type"completions"
id"gen-1777047817-QPhPQ3U2zp6v62P7VWQn"
upstream_id"c13d0483eb154236917dc1f825374d71"
total_cost0.0059368
cache_discount0.0008192
upstream_inference_cost0
provider_name"Xiaomi"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags20
adverbTagCount0
adverbTags(empty)
dialogueSentences36
tagDensity0.556
leniency1
rawRatio0
effectiveRatio0
87.53% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1203
totalAiIsmAdverbs3
found
0
adverb"gently"
count1
1
adverb"deliberately"
count1
2
adverb"suddenly"
count1
highlights
0"gently"
1"deliberately"
2"suddenly"
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)
54.28% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1203
totalAiIsms11
found
0
word"scanning"
count1
1
word"silk"
count1
2
word"etched"
count1
3
word"echo"
count1
4
word"scanned"
count1
5
word"could feel"
count1
6
word"vibrated"
count1
7
word"flickered"
count1
8
word"echoed"
count1
9
word"weight"
count1
10
word"unwavering"
count1
highlights
0"scanning"
1"silk"
2"etched"
3"echo"
4"scanned"
5"could feel"
6"vibrated"
7"flickered"
8"echoed"
9"weight"
10"unwavering"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences95
matches
0"y with pity"
97.74% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences95
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences111
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords2
totalWords1202
ratio0.002
matches
0"Unexplained circumstances."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
49.76% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount848
uniqueNames7
maxNameDensity2
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Camden1
Town1
Quinn17
Davies8
Morris1
Eva7
Kowalski1
persons
0"Quinn"
1"Davies"
2"Morris"
3"Eva"
4"Kowalski"
places
0"Camden"
1"Town"
globalScore0.498
windowScore0.5
29.03% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences62
glossingSentenceCount3
matches
0"felt like they belonged to different pu"
1"as if listening"
2"powder that seemed to absorb the light"
0.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches3
per1kWords2.496
wordCount1202
matches
0"not touching the body, but examining the hand nearest to her"
1"not malice, but panic"
2"not a train, but a low, resonant chime, like a tuning fork struck against sto"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences111
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs34
mean35.35
std19.85
cv0.562
sampleLengths
070
133
225
363
48
544
63
722
860
923
1066
1110
1248
1314
1460
1538
1611
1738
1814
1938
207
2148
2246
2316
2441
2523
2671
2729
2852
2934
3022
3115
3260
3350
94.18% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences95
matches
0"been placed"
1"was layered"
2"was tilted"
22.22% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs150
matches
0"was meeting"
1"wasn’t pointing"
2"was arguing"
3"were looking"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences111
ratio0.009
matches
0"Somewhere in the dark beyond the police tape, a sound echoed—not a train, but a low, resonant chime, like a tuning fork struck against stone."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount857
adjectiveStacks0
stackExamples(empty)
adverbCount21
adverbRatio0.024504084014002333
lyAdverbCount9
lyAdverbRatio0.010501750291715286
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences111
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences111
mean10.83
std6.97
cv0.644
sampleLengths
014
120
25
321
410
53
611
711
84
94
1013
1112
129
139
1410
1513
1618
172
182
197
201
2116
2210
2311
247
253
2622
2712
282
296
306
317
325
3318
344
3518
362
372
381
399
4011
414
429
4312
4410
4511
466
474
486
498
48.65% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats16
diversityRatio0.3783783783783784
totalSentences111
uniqueOpeners42
40.16% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences83
matches
0"Somewhere in the dark beyond"
ratio0.012
99.52% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences83
matches
0"His shoes were clean."
1"He hadn't walked here."
2"Her colleague, a uniformed sergeant"
3"She crouched, not touching the"
4"she said, her voice flat"
5"She looked back at the"
6"He wouldn't come down to"
7"Her gaze caught on a"
8"she commanded, stopping Davies’s foot"
9"She pulled on a glove"
10"It was a compass."
11"It was trembling, aimed directly"
12"She thought of Morris, her"
13"It sat in a small,"
14"She clutched a worn leather"
15"She scanned the scene, her"
16"Her voice dropped"
17"She looked at the body"
18"She pointed to his posture,"
19"She looked at Eva"
ratio0.301
8.19% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount75
totalSentences83
matches
0"The air in the abandoned"
1"Harlow Quinn stepped over the"
2"The scene was a mess."
3"A body lay in the"
4"The victim, a man in"
5"His shoes were clean."
6"He hadn't walked here."
7"Her colleague, a uniformed sergeant"
8"Quinn ignored him, her eyes"
9"A train rumbled somewhere far"
10"She crouched, not touching the"
11"The fingernails were immaculate, except"
12"she said, her voice flat"
13"Davies pointed a shaky flashlight"
14"There, scratched into the grime-coated"
15"The lines were hesitant, not"
16"Someone had drawn them in"
17"Quinn stood, her salt-and-pepper hair"
18"She looked back at the"
19"The suit was off-the-rack but"
ratio0.904
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences83
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences34
technicalSentenceCount1
matches
0"The fingernails were immaculate, except for one on the right index finger, which had a faint, silvery smear."
50.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags20
uselessAdditionCount3
matches
0"she said, her voice flat"
1"Quinn called, her voice cutting through the echo"
2"Quinn said, her voice quiet against the growing hum"
66.67% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags10
fancyCount3
fancyTags
0"Quinn murmured (murmur)"
1"Eva retorted (retort)"
2"Quinn stated (state)"
dialogueSentences36
tagDensity0.278
leniency0.556
rawRatio0.3
effectiveRatio0.167
74.9315%