Run: 2026-04-24-01KQ09BKXZZVACJ9D5SZHCB472

Run Details

Duration:
39.4s
Cost:
$0.005550
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="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <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> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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
Rain hammered the city, turning the pavement to black mirrors. Detective Harlow Quinn’s lungs burned, each breath a shard of cold, wet air. Her worn leather watch, a dead weight on her wrist, ticked with a heartbeat she couldn’t spare attention for. Up ahead, the blur of Tomás Herrera’s jacket was a ghost in the strobing neon. He ducked around a corner, swallowed by the mouth of an alley that reeked of old grease and despair. Quinn’s foot skidded on a slick of oil. She recovered, her military training a grooved pathway her body followed without thought. Morris would have been a half-step behind, his breathing even, his curses low and creative. The memory was a cold knife between her ribs. She shoved it down. The suspect’s olive-skinned face, tight with panic, flashed in her mind. Herrera. The paramedic who’d lost his license for treating things that shouldn’t need treating. The clique’s pet medic. He cut across Charing Cross Road, dodging a black cab that screamed its horn. Quinn plunged after him, the beam of her torch slicing through the downpour. The Saint Christopher medal around his neck caught the light for a bare second before he vanished down the steps into the Tube. An old, closed station. Camden Town. “Stop! Police!” Her voice was a hoarse bark swallowed by the storm. He didn’t slow. The click of the turnstile was a hollow echo. Quinn vaulted it, landing hard on the wet tiles of the mezzanine level. The station was a tomb, its usual roar replaced by a drip-and-hiss symphony. Down in the dark throat of the tunnel, a single emergency light painted the tracks in sickly green. She moved to the edge of the platform, her torch beam cutting down. Herrera was a sprinting shape along the service walkway between the rails, his curly hair plastered to his skull. He didn’t look back. He knew these tunnels. Her radio crackled, a garbled dispatch from control. She ignored it. Going in there was a breach of protocol that could get her suspended. Or dead. The memory of DS Morris’s empty desk, his cold case file, sat in her gut like a stone. No leads, no explanations, just a hole where a good man had been. Herrera reached the end of the platform, where the maintenance door was recessed into tile and grime. He wrenched it open. A rectangle of absolute blackness yawned, then he was through it, slamming it shut. Quinn hit the platform floor running, her sensible shoes slapping the concrete. The door was heavy steel, cool under her hand. She twisted the knob. Unlocked. They never locked things they didn’t want found. She pushed it open a crack, the darkness inside a physical pressure. It smelled of damp earth, ozone, and something else—something floral and metallic, like dying orchids and blood. She pulled her firearm from its holster, the weight familiar. Checking the clip, the safety, a ritual as comforting as prayer. Morris had always preferred the torch first, the gun second. She’d learned the hard way the other way was safer. Stepping through the door, she closed it behind her. The silence was total, a muffling blanket over the world. Her torch beam pierced the dark, illuminating a narrow, brick-lined corridor that sloped down at a steep angle. Pipes lined the ceiling, weeping condensation. Water trickled in rivulets down the walls. She advanced, senses straining. A faint, pulsing light began to bleed around the curve of the tunnel ahead. Not electric. A soft, organic green, like bioluminescence. The floral-metallic smell strengthened. Herrera’s footsteps, muffled before, now sounded sharp, quick. He was close. Quinn rounded the bend and stopped. The tunnel opened into a vast cavern, the abandoned shell of an older Tube junction. It was a cathedral of commerce built on bones. Hundreds of figures moved under a shifting, luminous canopy woven from what looked like glowing moss and fine silver wire. Stalls made of draped canvas, repurposed luggage racks, and even stone slabs clustered in chaotic rows. The noise hit her next: a low, multilingual hum of haggling, the clink of vials, the scratch of quills on parchment. A river of people, most of them not quite right. Too tall, too thin, with skin that had the faintest sheen of scales or fur. Eyes that reflected her torchlight with an animal glint. A vendor with long, articulated fingers displayed jars of something that pulsed with a faint inner light on his table. Another unwrapped a bundle of dried leaves that sang a single, mournful note when exposed to the air. The Veil Market. The bone token she’d heard whispers about in holding cells, the price of entry. Herrera hadn’t stopped at the edge. He was wading into the throng, his medical bag banging against his hip. “Herrera!” Quinn’s voice was a stone dropped into a deep well. A few heads turned—pale, elongated faces with too many joints in the neck—but the market’s rhythm absorbed her shout. Herrera glanced back, his brown eyes wide, not with fear now, but with a desperate kind of resolve. He pointed, once, down a side passage choked with crates, then vanished into the crowd. Quinn’s finger rested on the trigger guard. This wasn’t a crime scene. This was a parallel world, teeming with beings her warrant card meant nothing to. The rules she knew were paper against this kind of fire. She could call it in. A whole precinct of armed officers flooding this place would be a massacre. Hers, likely. The floral scent was cloying now. She saw a child—barely three feet tall, with a crown of tiny, feathered horns—tugging its mother toward a stall where luminous butterflies were trapped in glass jars. The mother’s hand was tipped with chitinous claws. Herrera’s path was clear. He was running to them, the clique she suspected. They’d be in here. Protected. This was their church, their fortress. She thought of Morris, of the unexplained energy signatures at his crime scene, of the witness who’d swore he saw something with wings climb the building next door before the shot was fired. The suspect was fifty meters in, moving fast. Leaving him meant losing the thread. It meant admitting there were doors you shouldn’t open, truths that burned. Quinn took a step past the threshold, from the grimy service tunnel into the pulsing, bioluminescent chaos of the Veil Market. The air grew warmer, thick with scents that didn’t belong in London’s underbelly. She kept her gun low, her stance wide, a hunter in an alien forest. The crowd flowed around her, a current of unnatural life giving her a wide berth, yellow and silver and black eyes noting the weapon, the badge glinting on her soaked jacket. She moved after Herrera, her reflection a dark, determined shape in the polished black stone of a stall selling mirrors that showed other places. The decision was made. Protocol was a distant memory. The only directive left was the chase.
created_at"2026-04-24T17:42:16.777Z" 4/24/2026, 5:42:16 PM
model"xiaomi/mimo-v2.5-pro-20260422"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1309
moderation_latency(null)
generation_time39331
tokens_prompt1140
tokens_completion2097
native_tokens_prompt1005
native_tokens_completion1771
native_tokens_completion_images(null)
native_tokens_reasoning251
native_tokens_cached960
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"
usage0.00555
router(null)
provider_responses
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endpoint_id"5c24ecc9-5ba1-4af0-8877-3402889e7d0a"
id"459ebb2ef088428c9b91c0708f0a0b66"
is_byokfalse
latency1228
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-1777052536-WPZHDazIlKw7eobgBsgV"
session_id(null)
api_type"completions"
id"gen-1777052536-LTVC64hiOpjek7nqOWAm"
upstream_id"459ebb2ef088428c9b91c0708f0a0b66"
total_cost0.00555
cache_discount0.000768
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
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences2
tagDensity1
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1168
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)
35.79% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1168
totalAiIsms15
found
0
word"weight"
count2
1
word"echo"
count1
2
word"symphony"
count1
3
word"familiar"
count1
4
word"comforting"
count1
5
word"silence"
count1
6
word"electric"
count1
7
word"footsteps"
count1
8
word"chaotic"
count1
9
word"glint"
count1
10
word"pulsed"
count1
11
word"resolve"
count1
12
word"glinting"
count1
13
word"determined"
count1
highlights
0"weight"
1"echo"
2"symphony"
3"familiar"
4"comforting"
5"silence"
6"electric"
7"footsteps"
8"chaotic"
9"glint"
10"pulsed"
11"resolve"
12"glinting"
13"determined"
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
emotionTells2
narrationSentences107
matches
0"t with panic"
1"t with fear"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences107
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences107
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1163
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions37
wordCount1160
uniqueNames15
maxNameDensity0.78
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn9
Tomás1
Herrera9
Charing1
Cross1
Road1
Saint1
Christopher1
Tube2
Town1
Morris4
Veil2
Market2
London1
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Saint"
5"Christopher"
6"Morris"
places
0"Charing"
1"Cross"
2"Road"
3"Tube"
4"Town"
5"London"
globalScore1
windowScore1
88.27% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences81
glossingSentenceCount2
matches
0"looked like glowing moss and fine silver"
1"not quite right"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.86
wordCount1163
matches
0"not with fear now, but with a desperate kind of resolve"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences107
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs23
mean50.57
std28.89
cv0.571
sampleLengths
076
178
256
312
456
540
657
735
863
941
1050
1141
126
13153
1436
1563
1657
1741
1824
1933
2026
2179
2240
88.87% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences107
matches
0"was recessed"
1"were trapped"
2"was tipped"
3"was fired"
4"was made"
87.64% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs178
matches
0"was wading"
1"was cloying"
2"was running"
62.75% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences3
totalSentences107
ratio0.028
matches
0"It smelled of damp earth, ozone, and something else—something floral and metallic, like dying orchids and blood."
1"A few heads turned—pale, elongated faces with too many joints in the neck—but the market’s rhythm absorbed her shout."
2"She saw a child—barely three feet tall, with a crown of tiny, feathered horns—tugging its mother toward a stall where luminous butterflies were trapped in glass jars."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1171
adjectiveStacks1
stackExamples
0"narrow, brick-lined corridor"
adverbCount23
adverbRatio0.01964133219470538
lyAdverbCount6
lyAdverbRatio0.005123825789923143
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences107
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences107
mean10.87
std6.47
cv0.596
sampleLengths
010
113
219
315
419
58
613
715
89
94
1011
111
1213
134
1414
1513
1623
174
182
1912
203
219
2213
2313
2418
2513
2619
274
284
298
303
3113
322
3318
3413
3517
364
3714
3812
399
404
411
428
4312
4417
4510
4611
4710
4810
499
52.34% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.3364485981308411
totalSentences107
uniqueOpeners36
33.33% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences100
matches
0"Too tall, too thin, with"
ratio0.01
88.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences100
matches
0"Her worn leather watch, a"
1"He ducked around a corner,"
2"She recovered, her military training"
3"She shoved it down."
4"He cut across Charing Cross"
5"Her voice was a hoarse"
6"He didn’t slow."
7"She moved to the edge"
8"He didn’t look back."
9"He knew these tunnels."
10"Her radio crackled, a garbled"
11"She ignored it."
12"He wrenched it open."
13"She twisted the knob."
14"They never locked things they"
15"She pushed it open a"
16"It smelled of damp earth,"
17"She pulled her firearm from"
18"She’d learned the hard way"
19"Her torch beam pierced the"
ratio0.33
10.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount90
totalSentences100
matches
0"Detective Harlow Quinn’s lungs burned,"
1"Her worn leather watch, a"
2"He ducked around a corner,"
3"Quinn’s foot skidded on a"
4"She recovered, her military training"
5"Morris would have been a"
6"The memory was a cold"
7"She shoved it down."
8"The suspect’s olive-skinned face, tight"
9"The paramedic who’d lost his"
10"The clique’s pet medic."
11"He cut across Charing Cross"
12"Quinn plunged after him, the"
13"The Saint Christopher medal around"
14"An old, closed station."
15"Her voice was a hoarse"
16"He didn’t slow."
17"The click of the turnstile"
18"Quinn vaulted it, landing hard"
19"The station was a tomb,"
ratio0.9
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences100
matches(empty)
ratio0
66.33% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences56
technicalSentenceCount6
matches
0"The paramedic who’d lost his license for treating things that shouldn’t need treating."
1"He cut across Charing Cross Road, dodging a black cab that screamed its horn."
2"Her torch beam pierced the dark, illuminating a narrow, brick-lined corridor that sloped down at a steep angle."
3"Another unwrapped a bundle of dried leaves that sang a single, mournful note when exposed to the air."
4"She thought of Morris, of the unexplained energy signatures at his crime scene, of the witness who’d swore he saw something with wings climb the building next d…"
5"She moved after Herrera, her reflection a dark, determined shape in the polished black stone of a stall selling mirrors that showed other places."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
83.5771%