Run: 2026-09-23-01M36VR85587WQYTRESJT8VN6S

Run Details

Duration:
1m 17s
Cost:
$0.000584
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
The rain had been falling for six hours and it showed no signs of letting up. Detective Harlow Quinn crouched behind a parked van on Camden High Street, water pooling in the creases of her jacket, her brown eyes fixed on the figure across the road. The suspect — mid-thirties, wiry, wearing a soaked grey hoodie — stood beneath a flickering shop awning counting something in his hands. A roll of bone-white tokens, each one stamped with a symbol she didn't recognise. Quinn pressed the transmit key on her radio. "Control, this is Quinn. I have visual on the Wallace suspect, north side of Camden High, opposite the tube station entrance. Requesting backup, my location." Static. Then a voice, thin and distant: *Say again, Quinn? You're breaking up.* She lowered the radio. The signal died halfway through the street. Underground interference, she thought. She'd been told that word before — *underground* — in connection with this case, in connection with the whispered name of a market that moved every full moon. The suspect pocketed the tokens and moved. Quinn broke cover. Her boots hit the wet pavement and the sound was swallowed almost immediately by the downpour. The man glanced over his shoulder — a sharp, practised glance — and then he ran. She pushed off into a sprint. Eighteen years of service had taught her how to move through London in bad weather: how to read the slick patches on the road, how to plant her weight on the balls of her feet, how to cut the angle on a corner before the suspect even reached it. She gained three metres on the first block. Two more on the second. The man vaulted a low wall beside a shuttered newsagent's. Quinn went over it a beat later, catching the top edge with both palms, her leather watch strap biting into her wrist as she swung her legs through. On the other side, a narrow service alley. The suspect's footsteps echoed off brick on either side. She rounded the bend and found him fifty metres ahead, shoulders heaving, hood pulled low. He took a left toward the tube station, and Quinn's stomach tightened. "Police! Stop where you are!" He didn't stop. He hit the station entrance at full stride, shouldering past a woman with a broken umbrella who swore and stumbled. Quinn caught the woman's elbow, steadied her, and kept moving. Inside the station, the fluorescent lights buzzed a sick yellow. The tiled walls were cracked and sweating. A hand-painted sign hung crooked from the ceiling, directing passengers to a line that Quinn had never seen on any map: *Platform 0 — Camden Deep*. Below it, a smaller notice: *No entry without token. Management not responsible for damage incurred beneath the Veil.* She hesitated for exactly two seconds. Her jaw set. She went down the stairs. The platform was colder than the street. The air tasted metallic, like a coin held too long on the tongue. A single train sat at the far end, its windows dark, its doors open and breathing condensation into the tunnel. The suspect scrambled aboard just as Quinn's boots hit the platform tiles. She ran the length of the platform. The train lurched — not with the electric whine of the Underground, but with a deep mechanical shudder, as if something enormous had shifted beneath the tracks. The doors began to close. Quinn stuck her arm through the gap and forced them apart, stepping inside as they resisted and then relented. The carriage was empty except for the suspect, who had backed himself against the far wall near a row of mouldering advertisements. He held up both hands, palms out. "I haven't done anything." "You ran." Quinn's voice came out flat, conversational. She kept her hand near her hip, close to the holster. "Innocent people don't run." "People in this city don't stop for police. You know that. I know that." He was breathing hard, but his eyes were steady — steady in the way of someone who had been through something worse than a foot chase and come out the other side. The tokens protruded from his jacket pocket, white against grey fabric. Quinn nodded toward them. "What are those? Where do they get you?" "Passage." He swallowed. "Into a place. They call it the Veil Market." "And you're going there tonight." "It moves. Full moon. Tonight's the last night it sits in Camden before it shifts somewhere else. If I don't get there now, I have to wait another month, and I don't have another month." His voice cracked on the last word. He turned his hand over and Quinn saw it — a dark rash spreading across his palm, the skin raised and weeping. "You a cop who's seen things, or a cop who hasn't?" The train decelerated. Through the window, tunnel walls gave way to something older — rough-hewn stone, chalked markings, the stubs of candles set into niches. The carriage stopped. The doors opened onto a platform that didn't belong to any line Quinn had ever walked. Beyond the platform, a staircase spiralled upward into warm amber light. Sound drifted down — voices, the clatter of coins, a stringed instrument playing something minor-key. She looked at the staircase. Then back at the suspect. "What's up there?" "Enchanted goods. Banned alchemical substances. Information." He recited it like a menu. "Tomás Herrera runs the medical stall on the north side — lost his licence for treating people like..." He held up his ruined palm. "He's the reason I'm still upright." Quinn stepped off the train. The stone beneath her boots was damp but solid, and the amber light from above pooled at the base of the staircase like something alive. She could hear the market breathing — a low murmur of commerce layered over the hiss of gas lamps and the occasional burst of laughter from a stall. Behind her, the train doors began to close again. She turned. The suspect stood on the platform, framed by the shutting doors, watching her. "You coming or not, Detective?" She thought about the case file on her desk: three years of dead ends, of paperwork that swallowed its own tail, of a partner's name she couldn't say without her throat closing. She thought about DS Morris and the unexplained circumstances — the reports she'd buried because reading them made her hands shake. She thought about bone tokens and a market that moved with the moon and a station that didn't exist on any map. The doors sealed. The train pulled away into the dark tunnel and the sound of it faded to nothing. Quinn stood alone on the platform, rain still dripping from her jacket onto the ancient stone, and stared up the spiralling staircase into the Veil Market.
created_at"2026-09-23T10:07:33.548Z" 9/23/2026, 10:07:33 AM
model"xiaomi/mimo-v2.6-flash-20260921"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1633
moderation_latency(null)
generation_time76755
tokens_prompt1104
tokens_completion1852
native_tokens_prompt1005
native_tokens_completion1582
native_tokens_completion_images(null)
native_tokens_reasoning163
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)
usage0.00058366
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790158053-zT4RSo5wLOHhibwUdYUw"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790158053-79QoIcYuP0S4F5gNAnVP"
upstream_id"022205f7-f6e5-4a0e-9f0a-6b16642b07c5_dad1f16e84f44208ac33101becc64227"
provider_responses
0
endpoint_id"6f7ea660-c5e2-492e-8a39-ec254953b3ae"
id"022205f7-f6e5-4a0e-9f0a-6b16642b07c5_dad1f16e84f44208ac33101becc64227"
is_byokfalse
latency1609
model_permaslug"xiaomi/mimo-v2.6-flash-20260921"
provider_name"Xiaomi"
status200
total_cost0.00058366
cache_discount(null)
upstream_inference_cost0
provider_name"Xiaomi"
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
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences17
tagDensity0.294
leniency0.588
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1120
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)
68.75% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1120
totalAiIsms7
found
0
word"weight"
count1
1
word"footsteps"
count1
2
word"echoed"
count1
3
word"stomach"
count1
4
word"lurched"
count1
5
word"electric"
count1
6
word"mechanical"
count1
highlights
0"weight"
1"footsteps"
2"echoed"
3"stomach"
4"lurched"
5"electric"
6"mechanical"
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
narrationSentences77
matches(empty)
87.20% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences77
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)
analyzedSentences89
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen49
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans4
markdownWords25
totalWords1135
ratio0.022
matches
0"Say again, Quinn? You're breaking up."
1"underground"
2"Platform 0 — Camden Deep"
3"No entry without token. Management not responsible for damage incurred beneath the Veil."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
67.86% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions28
wordCount974
uniqueNames10
maxNameDensity1.64
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn16
Camden2
High1
Street1
London1
Underground2
Morris1
Veil2
Market1
persons
0"Harlow"
1"Quinn"
2"Morris"
places
0"Camden"
1"High"
2"Street"
3"London"
4"Veil"
globalScore0.679
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences58
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.881
wordCount1135
matches
0"not with the electric whine of the Underground, but with a deep mechanical shudder, as if something enormous had"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences89
matches
0"told that word"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs36
mean31.53
std22.9
cv0.726
sampleLengths
082
18
225
313
443
57
635
768
855
927
105
1133
1261
1314
1452
1558
1629
174
1823
1914
2043
2112
2212
235
2475
2544
2626
2710
283
2942
3058
3124
325
3375
3419
3526
96.15% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences77
matches
0"been told"
1"was swallowed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs145
matches
0"was breathing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount14
semicolonCount0
flaggedSentences11
totalSentences89
ratio0.124
matches
0"The suspect — mid-thirties, wiry, wearing a soaked grey hoodie — stood beneath a flickering shop awning counting something in his hands."
1"She'd been told that word before — *underground* — in connection with this case, in connection with the whispered name of a market that moved every full moon."
2"The man glanced over his shoulder — a sharp, practised glance — and then he ran."
3"A hand-painted sign hung crooked from the ceiling, directing passengers to a line that Quinn had never seen on any map: *Platform 0 — Camden Deep*."
4"The train lurched — not with the electric whine of the Underground, but with a deep mechanical shudder, as if something enormous had shifted beneath the tracks."
5"He was breathing hard, but his eyes were steady — steady in the way of someone who had been through something worse than a foot chase and come out the other side."
6"He turned his hand over and Quinn saw it — a dark rash spreading across his palm, the skin raised and weeping."
7"Through the window, tunnel walls gave way to something older — rough-hewn stone, chalked markings, the stubs of candles set into niches."
8"Sound drifted down — voices, the clatter of coins, a stringed instrument playing something minor-key."
9"She could hear the market breathing — a low murmur of commerce layered over the hiss of gas lamps and the occasional burst of laughter from a stall."
10"She thought about DS Morris and the unexplained circumstances — the reports she'd buried because reading them made her hands shake."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount965
adjectiveStacks1
stackExamples
0"white against grey fabric."
adverbCount20
adverbRatio0.02072538860103627
lyAdverbCount2
lyAdverbRatio0.002072538860103627
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences89
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences89
mean12.75
std9.6
cv0.752
sampleLengths
016
130
222
314
48
525
61
79
83
94
107
114
1228
137
143
1516
1616
176
1849
198
205
2110
2228
238
249
2515
2612
275
283
2920
3010
3110
327
3326
349
359
366
373
385
397
4013
4120
4212
437
4427
455
4619
4722
487
494
53.93% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.3707865168539326
totalSentences89
uniqueOpeners33
90.09% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences74
matches
0"Then a voice, thin and"
1"Then back at the suspect."
ratio0.027
79.46% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences74
matches
0"You're breaking up.*"
1"She lowered the radio."
2"She'd been told that word"
3"Her boots hit the wet"
4"She pushed off into a"
5"She gained three metres on"
6"She rounded the bend and"
7"He took a left toward"
8"He didn't stop."
9"He hit the station entrance"
10"She hesitated for exactly two"
11"Her jaw set."
12"She went down the stairs."
13"She ran the length of"
14"He held up both hands,"
15"She kept her hand near"
16"He was breathing hard, but"
17"His voice cracked on the"
18"He turned his hand over"
19"She looked at the staircase."
ratio0.351
34.32% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount63
totalSentences74
matches
0"The rain had been falling"
1"Detective Harlow Quinn crouched behind"
2"The suspect — mid-thirties, wiry,"
3"A roll of bone-white tokens,"
4"Quinn pressed the transmit key"
5"You're breaking up.*"
6"She lowered the radio."
7"The signal died halfway through"
8"She'd been told that word"
9"The suspect pocketed the tokens"
10"Quinn broke cover."
11"Her boots hit the wet"
12"The man glanced over his"
13"She pushed off into a"
14"She gained three metres on"
15"The man vaulted a low"
16"Quinn went over it a"
17"The suspect's footsteps echoed off"
18"She rounded the bend and"
19"He took a left toward"
ratio0.851
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences74
matches(empty)
ratio0
48.87% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences38
technicalSentenceCount5
matches
0"She'd been told that word before — *underground* — in connection with this case, in connection with the whispered name of a market that moved every full moon."
1"He hit the station entrance at full stride, shouldering past a woman with a broken umbrella who swore and stumbled."
2"The train lurched — not with the electric whine of the Underground, but with a deep mechanical shudder, as if something enormous had shifted beneath the tracks."
3"He was breathing hard, but his eyes were steady — steady in the way of someone who had been through something worse than a foot chase and come out the other sid…"
4"She thought about the case file on her desk: three years of dead ends, of paperwork that swallowed its own tail, of a partner's name she couldn't say without he…"
25.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount1
matches
0"Quinn's voice came out, conversational"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
81.5214%