Run: 2026-09-23-01M36TW2Y9W3PE53SNDRZN8R5Z

Run Details

Duration:
1m 3s
Cost:
$0.000546
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 came down in sheets over Camden High Street and turned the pavement into a strip of black glass. Harlow Quinn hit the corner with her shoulder low, her boots skidding on the wet tarmac, and she caught the flash of a grey hood two blocks ahead, cutting through the headlights of a stalled double-decker. She'd been watching him for three nights — the courier who slipped packages into the Raven's Nest after closing, who left through the fire exit with his collar up and his hands empty. Tonight the package had stayed behind. Tonight he'd looked straight at her. "Police! Stop there!" The hood turned, and she saw the pale oval of a face before he plunged into the alley between the shuttered off-licence and the kebab house. She followed. Her leather watch dug into her wrist as she raised her arm to check the time — 11:47. The full moon hung behind the cloud cover, a smear of white she could just make out through the gaps. The alley stank of bins and standing water. He was fast, and he knew the terrain; she heard him kick a milk crate out of his path and heard it clatter against a recycling bin. She cleared the crate in one stride. Eighteen years on the force had taught her legs to outrun fear, though nothing had taught her what the file on DS Morris really contained. He burst out onto Inverness Street and vaulted the low wall of the tube station entrance. By the time she reached the wall, he was already down the steps, his sneakers slapping the wet tile. Harlow gripped the handrail. The station sign above her read MORNTOWN — a name she'd never seen on any TfL map, the letters faded under decades of grime, a green-tinged glow leaking from somewhere below. The ticket hall yawned dark, the barriers hanging open, a single fluorescent tube buzzing and stuttering overhead. She keyed her radio. Nothing but static, a wet hiss like breathing. She took the stairs three at a time. The platform was deserted save for a woman in a shawl who stood very still beside a kiosk selling jars of things that moved under their lids. The woman's eyes tracked Harlow's badge and she stepped back without a word. Beyond the platform, a maintenance door hung ajar, and warm air rolled through the gap carrying the smell of solder, cardamom, and something copper-sweet. Harlow pushed through. The tunnel opened into a cavern that the tracks had never touched — a vaulted brick chamber lined with tarpaulin stalls and bare bulbs strung on cables. Market stalls jostled for space: bottles of luminous liquid, racks of yellowed teeth, stacks of paper that rearranged themselves as she watched. Voices layered over one another in a dozen accents, coin struck against coin, a low chant from somewhere deeper in. The Veil Market. She'd heard the name in a report she was never supposed to see, filed under an appendix that had since been redacted. A heavy man with a ledger under his arm blocked her path. "Token," he said, flat as a doorman's. "I'm Detective Harlow Quinn, Metropolitan Police. You'll want to move." The man didn't move. He looked past her, to the crowd, and something in his expression shifted — a slow widening of the eyes that made the hair on her arms lift. She unholstered her sidearm and stepped around him, and the crowd parted the way water parts around a stone. The courier's grey hood flickered at the far end of the chamber, beside a staircase that spiralled down past a wall of old maps and black-and-white photographs — she recognised the Raven's Nest décor bleeding down here like roots. He glanced back at her, and she saw the medallion swing against his chest, Saint Christopher catching the bulb light. Not the courier's medallion. A different one. "Hold up!" He went through a doorway and a bookshelf swung shut behind him with a click that resonated through the brick. Harlow reached the shelf. Her fingers found the seam where the wood met the wall. A hidden room, behind books that smelled of damp and tobacco. Voices carried through the gap — low, urgent, a man with a Sevillian accent speaking fast, and another voice she didn't recognise counting slowly in a language that had no business being spoken in Camden. She pressed her ear to the wood and heard the Sevillian say, "—not here, not tonight, she's following and you know what she is." Then a pause, and the other voice said, "Then we give her what Morris got." The name hit her like a hand across the face. She straightened, her pulse loud in her ears, rain still dripping from her hair onto the dead fish scales scattered across the floor. Behind her, the market noise dipped. The heavy man with the ledger stood at the mouth of the passage, and behind him three others — one carrying a crate that rattled with glass, another with hands stained black to the wrist. None of them held a weapon. None of them needed to. She looked at the shelf seam, at the thin line of light leaking through the books, at the staircase below that spiralled into rooms where people spoke her dead partner's name as if they'd been there when it happened. She looked at the passage behind her, at the faces watching her from the stalls, at the fluorescent stutter of a station she'd never been taught to navigate. Her radio crackled once, a voice swimming up through the static, too faint to hold. The shelf ticked, someone on the other side sliding a bolt. Harlow shifted her weight onto her back foot, weapon raised, eyes on the seam.
created_at"2026-09-23T09:52:10.703Z" 9/23/2026, 9:52:10 AM
model"xiaomi/mimo-v2.6-flash-20260921"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1408
moderation_latency(null)
generation_time62884
tokens_prompt1104
tokens_completion1666
native_tokens_prompt1005
native_tokens_completion1448
native_tokens_completion_images(null)
native_tokens_reasoning253
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)
usage0.00054614
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790157130-8c90e95Twj4QuSguJNY6"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790157130-im3SFHsYsNc1ID7LRxjw"
upstream_id"a7441282-d657-4b60-8c5c-4b6dc8dea8b3_e5f286e432f744dbb18a367d5cbfd644"
provider_responses
0
endpoint_id"6f7ea660-c5e2-492e-8a39-ec254953b3ae"
id"a7441282-d657-4b60-8c5c-4b6dc8dea8b3_e5f286e432f744dbb18a367d5cbfd644"
is_byokfalse
latency1308
model_permaslug"xiaomi/mimo-v2.6-flash-20260921"
provider_name"Xiaomi"
status200
total_cost0.00054614
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
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences6
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
84.34% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount958
totalAiIsmAdverbs3
found
0
adverb"really"
count1
1
adverb"very"
count1
2
adverb"slowly"
count1
highlights
0"really"
1"very"
2"slowly"
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)
68.68% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount958
totalAiIsms6
found
0
word"tinged"
count1
1
word"flickered"
count1
2
word"resonated"
count1
3
word"pulse"
count1
4
word"navigate"
count1
5
word"weight"
count1
highlights
0"tinged"
1"flickered"
2"resonated"
3"pulse"
4"navigate"
5"weight"
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
narrationSentences57
matches(empty)
92.73% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences57
filterMatches
0"watch"
1"know"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences60
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords965
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount941
uniqueNames15
maxNameDensity0.64
worstName"Harlow"
maxWindowNameDensity1.5
worstWindowName"Harlow"
discoveredNames
Camden2
High1
Street2
Quinn1
Raven2
Nest2
Morris1
Inverness1
TfL1
Harlow6
Veil1
Market2
Saint1
Christopher1
Sevillian2
persons
0"Quinn"
1"Raven"
2"Morris"
3"Harlow"
4"Saint"
5"Christopher"
6"Sevillian"
places
0"Camden"
1"High"
2"Street"
3"Inverness"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences47
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount965
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences60
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs29
mean33.28
std23.4
cv0.703
sampleLengths
056
145
23
366
467
535
652
712
88
964
103
1169
1225
1319
1410
1551
1659
177
182
1920
2061
2124
2215
2333
2452
2567
2615
2711
2814
80.64% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences57
matches
0"was deserted"
1"been redacted"
2"being spoken"
3"been taught"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs141
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount9
semicolonCount1
flaggedSentences10
totalSentences60
ratio0.167
matches
0"She'd been watching him for three nights — the courier who slipped packages into the Raven's Nest after closing, who left through the fire exit with his collar up and his hands empty."
1"Her leather watch dug into her wrist as she raised her arm to check the time — 11:47."
2"He was fast, and he knew the terrain; she heard him kick a milk crate out of his path and heard it clatter against a recycling bin."
3"The station sign above her read MORNTOWN — a name she'd never seen on any TfL map, the letters faded under decades of grime, a green-tinged glow leaking from somewhere below."
4"The tunnel opened into a cavern that the tracks had never touched — a vaulted brick chamber lined with tarpaulin stalls and bare bulbs strung on cables."
5"He looked past her, to the crowd, and something in his expression shifted — a slow widening of the eyes that made the hair on her arms lift."
6"The courier's grey hood flickered at the far end of the chamber, beside a staircase that spiralled down past a wall of old maps and black-and-white photographs — she recognised the Raven's Nest décor bleeding down here like roots."
7"Voices carried through the gap — low, urgent, a man with a Sevillian accent speaking fast, and another voice she didn't recognise counting slowly in a language that had no business being spoken in Camden."
8"She pressed her ear to the wood and heard the Sevillian say, \"—not here, not tonight, she's following and you know what she is.\""
9"The heavy man with the ledger stood at the mouth of the passage, and behind him three others — one carrying a crate that rattled with glass, another with hands stained black to the wrist."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount746
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.01742627345844504
lyAdverbCount2
lyAdverbRatio0.002680965147453083
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences60
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences60
mean16.08
std10.58
cv0.658
sampleLengths
020
136
233
36
46
53
626
72
818
920
108
1127
127
1325
1416
1519
164
1731
1817
194
208
218
2227
2313
2424
253
2627
2722
2820
293
3022
3112
327
3310
344
3528
3619
3739
3820
394
403
412
4220
434
4411
4511
4635
4724
4815
4910
48.33% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.35
totalSentences60
uniqueOpeners21
59.52% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences56
matches
0"Then a pause, and the"
ratio0.018
84.29% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount19
totalSentences56
matches
0"She'd been watching him for"
1"Her leather watch dug into"
2"He was fast, and he"
3"She cleared the crate in"
4"He burst out onto Inverness"
5"She keyed her radio."
6"She took the stairs three"
7"She'd heard the name in"
8"he said, flat as a"
9"He looked past her, to"
10"She unholstered her sidearm and"
11"He glanced back at her,"
12"He went through a doorway"
13"Her fingers found the seam"
14"She pressed her ear to"
15"She straightened, her pulse loud"
16"She looked at the shelf"
17"She looked at the passage"
18"Her radio crackled once, a"
ratio0.339
22.50% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount49
totalSentences56
matches
0"The rain came down in"
1"Harlow Quinn hit the corner"
2"She'd been watching him for"
3"Tonight the package had stayed"
4"Tonight he'd looked straight at"
5"The hood turned, and she"
6"Her leather watch dug into"
7"The full moon hung behind"
8"The alley stank of bins"
9"He was fast, and he"
10"She cleared the crate in"
11"He burst out onto Inverness"
12"Harlow gripped the handrail."
13"The station sign above her"
14"The ticket hall yawned dark,"
15"She keyed her radio."
16"Nothing but static, a wet"
17"She took the stairs three"
18"The platform was deserted save"
19"The woman's eyes tracked Harlow's"
ratio0.875
89.29% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences56
matches
0"By the time she reached"
ratio0.018
3.97% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount7
matches
0"Market stalls jostled for space: bottles of luminous liquid, racks of yellowed teeth, stacks of paper that rearranged themselves as she watched."
1"He looked past her, to the crowd, and something in his expression shifted — a slow widening of the eyes that made the hair on her arms lift."
2"The courier's grey hood flickered at the far end of the chamber, beside a staircase that spiralled down past a wall of old maps and black-and-white photographs …"
3"He went through a doorway and a bookshelf swung shut behind him with a click that resonated through the brick."
4"Voices carried through the gap — low, urgent, a man with a Sevillian accent speaking fast, and another voice she didn't recognise counting slowly in a language …"
5"The heavy man with the ledger stood at the mouth of the passage, and behind him three others — one carrying a crate that rattled with glass, another with hands …"
6"She looked at the shelf seam, at the thin line of light leaking through the books, at the staircase below that spiralled into rooms where people spoke her dead …"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"She pressed (press)"
dialogueSentences6
tagDensity0.5
leniency1
rawRatio0.333
effectiveRatio0.333
81.1432%