Run: 2026-09-23-01M36WMGMGF97VJ6NQ4WTW0KH4

Run Details

Duration:
1m 4s
Cost:
$0.000538
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 ran in sheets down the brick faces of Camden High Street, turning every doorway into a black mouth. Detective Harlow Quinn hit the pavement hard, her boots skidding on a puddle that had no business being knee-deep outside a charity shop. She'd lost eight seconds. Maybe ten. The man in the grey hood had taken the corner by the tube station entrance, and the street ahead of him swallowed light the way old walls swallowed sound. She pressed the worn leather watch on her left wrist. 11:47 PM. The case file in her glovebox said the supply chain ran through this postcode every fortnight, but it didn't say anything about a man who could scale a fire escape like a cat or a bottle shop window that exploded into him without a scratch. "Police!" she shouted. Her voice cracked against the wet stone. The hooded figure didn't break stride. He was lean, moving with the economical mechanics of someone who'd spent years covering distance in a hurry. He cut left through an alley between a vape shop and a boarded-up laundromat, and Quinn followed without thinking about it. Eighteen years on the force had trained the hesitation out of her: if you stop to evaluate, the suspect doesn't. The alley stank of vinegar and standing water. She scraped her shoulder against a rusted pipe and kept moving. Ahead, the figure kicked open a fire door and vanished into a stairwell. She heard the clang of the door rebounding, the echo of it spiraling upward, and she reached it in four strides. Metal stair. Cold enough to bite through her gloves. Three flights, maybe four. The sound of his footsteps came from above and to the right — then nothing. She reached the landing. Empty. Wet footprints marked the concrete, heading toward a service corridor that smelled of bleach. She followed them past junction boxes and coils of cable and found a maintenance hatch propped open with a wrench. Below: darkness, and the low hum of ventilation. Quinn dropped through. The corridor beneath Camden was narrower than she expected — barely wide enough for both shoulders — and the walls sweated with condensation. She moved forward, one hand trailing the damp brick, counting turns. Left. Left again. The hum grew louder, resonating through the soles of her boots, and the floor shifted from poured concrete to something older: flagstones, uneven, cut by hand. The footprints continued. She rounded the final corner and stopped. The corridor opened into a vast chamber — the skeleton of an abandoned Tube station, its arched ceiling ribbed with cast iron gone green with age. Fluorescent tubes had been strung along the ribs, buzzing pale and clinical, and beneath them a crowd moved. Stalls. Tents. Crates stacked with glass jars that caught the light and held it wrong — too bright, too green, as if the liquid inside were generating its own glow. She stood on the lip of a platform that overlooked the floor of the station, and the noise hit her: overlapping voices in English and Romanian and something older, the clink of bottles, the scrape of coin on coin, a woman laughing with her teeth showing. This wasn't a drug den. The crates held things she didn't have names for — bundles of dried plants she'd never seen on any formulary, stones that seemed to shift color when she moved her head, instruments of brass and bone laid out on velvet. She'd read reports about places like this. She'd dismissed them as fantasy, the kind of story people told when they wanted to justify why their son was found unconscious in a drainage ditch with no puncture wounds and a dead rabbit in his coat pocket. The hooded figure was halfway across the floor. He moved with confidence, touching shoulders, nodding to vendors, clearly a regular. He stopped at a stall draped in dark cloth, leaned in to speak to the man behind it, and the man looked up — not at the figure, but directly at Quinn on the platform. Their eyes held for a beat. The vendor's mouth moved. The figure turned. For a moment, he didn't run. He just looked at her, rain still dripping from his hood, his face visible now: young, sharp-boned, a split in his lip she'd given him when they'd broken through the launderette window two weeks ago in a previous sighting. He knew her. He'd known she was coming. He grinned, then bolted — pushing through the crowd toward the far end of the station where a tunnel mouth gaped black and unlit. Stalls shuddered. A jar shattered somewhere behind him, and a chemical smell — sweet, wrong — bloomed in the air. The crowd parted around him and then closed again, and several faces turned upward to the platform. The vendor was already folding his cloth over his wares. A man in a long coat was backing away from a stall, his hand disappearing inside his jacket. Nobody looked friendly. Quinn stood on the ledge, one boot on the platform edge, the dark tunnel swallowing the last trace of the grey hood. Behind her the stairwell up to the surface waited — open, known, twelve seconds away if she turned now. Below her, the station hummed with people who'd carved their operation into the city's foundation and dared her to come down. Her phone buzzed in her pocket. She pulled it out. A message from the station duty officer: three patrol units held at King's Cross, no backup available in the area until 01:00. She looked at the tunnel. She looked at the stairwell behind her. Above her, the rain hammered the grate that covered the station's old entrance, and the fluorescent tubes flickered once, casting the platform in a stutter of white light that made the shadows below look like they were breathing.
created_at"2026-09-23T10:22:59.734Z" 9/23/2026, 10:22:59 AM
model"xiaomi/mimo-v2.6-flash-20260921"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4802
moderation_latency(null)
generation_time63490
tokens_prompt1104
tokens_completion1695
native_tokens_prompt1005
native_tokens_completion1420
native_tokens_completion_images(null)
native_tokens_reasoning217
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)
usage0.0005383
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790158979-lhSmmuIXFAAHFHsBd9qD"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790158979-rvmGPSIF2UTYjZmrpxVf"
upstream_id"e42a5503-8c10-4bbd-a91a-9847910350e6_940363549d0e47428a26eb40ab7a6e6d"
provider_responses
0
endpoint_id"6f7ea660-c5e2-492e-8a39-ec254953b3ae"
id"e42a5503-8c10-4bbd-a91a-9847910350e6_940363549d0e47428a26eb40ab7a6e6d"
is_byokfalse
latency4733
model_permaslug"xiaomi/mimo-v2.6-flash-20260921"
provider_name"Xiaomi"
status200
total_cost0.0005383
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
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences1
tagDensity1
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount969
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)
74.20% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount969
totalAiIsms5
found
0
word"echo"
count1
1
word"footsteps"
count1
2
word"velvet"
count1
3
word"shattered"
count1
4
word"flickered"
count1
highlights
0"echo"
1"footsteps"
2"velvet"
3"shattered"
4"flickered"
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
narrationSentences71
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences71
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)
analyzedSentences71
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen46
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords980
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
totalMentions15
wordCount979
uniqueNames10
maxNameDensity0.51
worstName"Quinn"
maxWindowNameDensity1
worstWindowName"Quinn"
discoveredNames
Camden2
High1
Street1
Harlow1
Quinn5
Tube1
English1
Romanian1
King1
Cross1
persons
0"Harlow"
1"Quinn"
2"King"
3"Cross"
places
0"Camden"
1"High"
2"Street"
3"English"
globalScore1
windowScore1
97.92% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences48
glossingSentenceCount1
matches
0"stones that seemed to shift color when she moved her head, instruments of brass and bone laid out on velvet"
97.96% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.02
wordCount980
matches
0"not at the figure, but directly at Quinn on the platform"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences71
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs25
mean39.2
std22.49
cv0.574
sampleLengths
077
157
210
365
453
528
639
78
83
963
103
117
1274
1346
1445
1545
1655
1713
1853
1944
2048
2162
2232
2312
2438
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences71
matches
0"was found"
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs151
matches
0"were generating"
1"was coming"
2"was already folding"
3"was backing"
4"were breathing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount11
semicolonCount0
flaggedSentences9
totalSentences71
ratio0.127
matches
0"The sound of his footsteps came from above and to the right — then nothing."
1"The corridor beneath Camden was narrower than she expected — barely wide enough for both shoulders — and the walls sweated with condensation."
2"The corridor opened into a vast chamber — the skeleton of an abandoned Tube station, its arched ceiling ribbed with cast iron gone green with age."
3"Crates stacked with glass jars that caught the light and held it wrong — too bright, too green, as if the liquid inside were generating its own glow."
4"The crates held things she didn't have names for — bundles of dried plants she'd never seen on any formulary, stones that seemed to shift color when she moved her head, instruments of brass and bone laid out on velvet."
5"He stopped at a stall draped in dark cloth, leaned in to speak to the man behind it, and the man looked up — not at the figure, but directly at Quinn on the platform."
6"He grinned, then bolted — pushing through the crowd toward the far end of the station where a tunnel mouth gaped black and unlit."
7"A jar shattered somewhere behind him, and a chemical smell — sweet, wrong — bloomed in the air."
8"Behind her the stairwell up to the surface waited — open, known, twelve seconds away if she turned now."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount971
adjectiveStacks0
stackExamples(empty)
adverbCount26
adverbRatio0.026776519052523172
lyAdverbCount5
lyAdverbRatio0.005149330587023687
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences71
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences71
mean13.8
std11.78
cv0.853
sampleLengths
019
123
24
32
429
510
62
745
83
97
106
1118
1221
1320
148
1511
1613
1721
182
197
204
2115
224
231
2414
2520
268
273
2823
2911
301
312
3226
333
347
3526
3618
371
381
3928
4046
415
4240
437
4438
458
4612
4735
486
494
54.93% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.4225352112676056
totalSentences71
uniqueOpeners30
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences61
matches(empty)
ratio0
56.07% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences61
matches
0"She'd lost eight seconds."
1"She pressed the worn leather"
2"Her voice cracked against the"
3"He was lean, moving with"
4"He cut left through an"
5"She scraped her shoulder against"
6"She heard the clang of"
7"She reached the landing."
8"She followed them past junction"
9"She moved forward, one hand"
10"She rounded the final corner"
11"She stood on the lip"
12"She'd read reports about places"
13"She'd dismissed them as fantasy,"
14"He moved with confidence, touching"
15"He stopped at a stall"
16"Their eyes held for a"
17"He just looked at her,"
18"He knew her."
19"He'd known she was coming."
ratio0.41
58.36% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount49
totalSentences61
matches
0"Rain ran in sheets down"
1"Detective Harlow Quinn hit the"
2"She'd lost eight seconds."
3"The man in the grey"
4"She pressed the worn leather"
5"The case file in her"
6"Her voice cracked against the"
7"The hooded figure didn't break"
8"He was lean, moving with"
9"He cut left through an"
10"The alley stank of vinegar"
11"She scraped her shoulder against"
12"She heard the clang of"
13"The sound of his footsteps"
14"She reached the landing."
15"She followed them past junction"
16"Quinn dropped through."
17"The corridor beneath Camden was"
18"She moved forward, one hand"
19"The hum grew louder, resonating"
ratio0.803
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences61
matches(empty)
ratio0
3.97% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount7
matches
0"Detective Harlow Quinn hit the pavement hard, her boots skidding on a puddle that had no business being knee-deep outside a charity shop."
1"He was lean, moving with the economical mechanics of someone who'd spent years covering distance in a hurry."
2"Crates stacked with glass jars that caught the light and held it wrong — too bright, too green, as if the liquid inside were generating its own glow."
3"She stood on the lip of a platform that overlooked the floor of the station, and the noise hit her: overlapping voices in English and Romanian and something old…"
4"The crates held things she didn't have names for — bundles of dried plants she'd never seen on any formulary, stones that seemed to shift color when she moved h…"
5"A man in a long coat was backing away from a stall, his hand disappearing inside his jacket."
6"Above her, the rain hammered the grate that covered the station's old entrance, and the fluorescent tubes flickered once, casting the platform in a stutter of w…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"she shouted (shout)"
dialogueSentences1
tagDensity1
leniency1
rawRatio1
effectiveRatio1
74.7800%