Run: 2026-09-23-01M36T7E3999XEWR1MS63EQW7N

Run Details

Duration:
1m 11s
Cost:
$0.000647
Provider:
Xiaomi

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
The rain came sideways off Euston Road, needling the back of Quinn's neck as she hit the pavement running. Ahead, the suspect — lean, hooded, moving with the easy economy of someone who'd done this before — cut left between a laundrette and a shuttered off-licence, his trainers slapping through standing water. She counted the seconds since she'd first seen him turn: eleven. He'd been watching the Nest for two hours before that, standing under Silas's green neon with his collar up, and that was the part that had put him in her notebook rather than her peripheral vision. People watched that bar. People waited outside it. And Harlow Quinn had spent three years learning what happened to the things that circled places like the Raven's Nest. She took the corner tight, shoulder grazing the brick, and nearly lost him in the alley's darkness. A bin had gone over somewhere behind her, spilling something she didn't want to identify. Her leather watch — the one Morris had given her the week before he died, the strap soft as old skin — caught a gleam from a security light as she raised her torch. "Federali!" she shouted, because it was the first loud thing that came to her and because it worked — he stumbled, half-turning, and she gained four feet. "Metropolitan Police! Stop where you are!" He didn't stop. He never stopped. He vaulted a low wall into a service yard and Quinn went over it after him, palms burning on wet concrete, boots sliding. Eighteen years on the job and her knees still spoke up about it. She landed in a crouch, scanning. The yard fed into a service road, and the service road ran downhill toward Camden High Street, where the traffic was, where the cameras were, where he'd be a fool to go. He went anyway. Stupidity or route-planning, she couldn't tell yet. She pushed after him, breath fogging, rain running off the peak of her cap into her eyes. Camden was a river of light and bodies even at this hour — the market crowd bleeding out into the pubs, a bus kneeling at the stop, a food van throwing steam into the drizzle. She scanned faces in flashes as she ran: none of them were him. Then a shape in a grey hood slipped past a group of teenagers and merged with the crowd with a kind of practised invisibility, and she locked on. "Police! Make way!" People scattered the way people always scatter — not calmly, not helpfully, but in a shock of elbows and swearing. She ploughed through, caught the edge of his hood, felt fabric slip through her fingers. He glanced back at her for the first time. Young. Twenty-five, maybe. Pale, wet, with the particular flat terror of a man who hadn't expected to be caught but also hadn't expected anyone to keep up. Then he turned into the mouth of a side street she didn't recognise, and the crowd closed behind her like water. The side street sloped sharply down. The buildings crowded in — brickwork black with rain, fire escapes, a wall of peeling posters advertising nights that had happened years ago — and at the end of it, set into the ground like a wound, a stairwell descending below street level. Not a Tube entrance, or not anymore. The tiling was old, Victorian, the roundel long since scrubbed or painted over. A temporary barrier had been dragged aside. Beyond the barrier, darkness with a faint, impossible warmth to it — amber light, far below, and a sound that wasn't quite traffic. Quinn stopped at the lip of the stairwell. Her chest heaved. Rain ran down her jaw, dripped off her chin. Below, a door banged, and footsteps receded. She knew, with the animal part of her brain that had kept her alive through too many of these, that this was the moment to stop. Radio it in. Get a unit, get lights, get procedure. She reached for her shoulder mic and her fingers found only wet nylon — the rain had soaked through, and when she thumbed the button, the speaker coughed static and nothing else. Camden's dead spots were legendary; this apparently was one of them. She looked at the stairwell. She looked at her watch, water beading on the crystal, the second hand still sweeping. She thought of DS Morris, of a corridor three years ago that had smelled of nothing at all, of a door that had been there and then hadn't, of the file she'd rebuilt from fragments because the official account was forty-one words long and none of them true. She thought of the man under the green neon, watching. Quinn checked her torch, checked the weight of her baton at her hip, and went down. The stairs were slick with seepage and took her into air that was warm and wrong — too warm for a night like this, and thick with the smell of old iron and something herbal, something sweet and resinous she couldn't name. The amber light came from below, from around a bend where the tunnel widened and the tiled walls gave way to rough-hewn brick. Somewhere water dripped with the metronomic patience of a place that had been dripping since before the line was closed. Around the bend, the tunnel opened into what had clearly been a platform, and the platform had been colonised. Stalls had been improvised from packing crates and trestle tables and, in one case, what looked like a reclaimed door laid across two oil drums. Glass jars lined a table, and inside them things moved — slow, pale, unhurried. A woman with silver thread sewn into her sleeves was measuring liquid from one vial into another without looking at it. A man made of silence and overcoats was selling knives. Nobody looked up at her. That was the detail that raised the hair on her forearms — not that they ignored a police detective standing at the top of a stairwell in full uniform, but that ignoring her was clearly a rule rather than a choice. The crowd moved in a low murmur, traders and buyers, faces half-lit, voices pitched just below comprehension. Above the makeshift archway where the tunnel continued deeper, someone had chalked a symbol she didn't recognise. Beside it, at roughly chest height, a bracket held a shallow dish, and in the dish lay a small white object that caught the torchlight and did not reflect it. A bone token. She'd read the phrase once, in a report she'd been told to stop reading, in a case file that had been reclassified out from under her. Her suspect was twenty metres ahead, moving fast toward the archway, shoulders hunched. If she let him reach it, she lost him — she could feel that the way she'd always felt a trail going cold, a knot tightening behind her sternum. Three options, and her training laid them out with the flat clarity of a briefing: call it in — she couldn't; wait for backup — she'd never get it down here; follow him alone into an unauthorised location full of people who had arranged not to see her. She thought about Morris. Then she thought about the fact that thinking about Morris was exactly the kind of thing that got people killed, and she shoved it down hard. The man reached the archway. He slowed, glancing back at her — that same flat, wet fear, but with something else underneath it now, something almost like a warning. His mouth moved. She couldn't hear him over the drip and the murmur. Then he raised one hand and dropped something into the bone dish. The token rattled. He passed under the arch and was gone — not around a corner, gone, the air folding shut behind him like it had never been open. Quinn stood at the edge of the platform with rain still cooling on her face and torchlight trembling in her grip. Her watch read 11:47. Below, the market went on breathing. She could turn around. Walk back up the stairs, into the real city, file the report she'd have to invent details for, and never know what the man had been doing outside the Nest for two hours. Or she could reach into the dish, take the bone token, and follow. The leather strap of her watch creaked as she tightened her grip on the torch. Somewhere deeper down, a door that shouldn't exist was still swinging.
created_at"2026-09-23T09:40:54.015Z" 9/23/2026, 9:40:54 AM
model"xiaomi/mimo-v2.6-flash-20260921"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3754
moderation_latency(null)
generation_time71374
tokens_prompt888
tokens_completion2166
native_tokens_prompt827
native_tokens_completion1899
native_tokens_completion_images(null)
native_tokens_reasoning139
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)
usage0.0006475
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790156454-xIwsBLFxhC7qzwwbQuDd"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790156454-Ww4GzsXysg1nvMpeiGXU"
upstream_id"9da2c8de-e79a-4d0c-8109-d2ed8fccd983_566208e6f8b844808d6261b42219606f"
provider_responses
0
endpoint_id"6f7ea660-c5e2-492e-8a39-ec254953b3ae"
id"9da2c8de-e79a-4d0c-8109-d2ed8fccd983_566208e6f8b844808d6261b42219606f"
is_byokfalse
latency3670
model_permaslug"xiaomi/mimo-v2.6-flash-20260921"
provider_name"Xiaomi"
status200
total_cost0.0006475
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)
dialogueSentences3
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
96.45% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1407
totalAiIsmAdverbs1
found
0
adverb"sharply"
count1
highlights
0"sharply"
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)
71.57% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1407
totalAiIsms8
found
0
word"scanning"
count1
1
word"scanned"
count1
2
word"warmth"
count1
3
word"footsteps"
count1
4
word"crystal"
count1
5
word"weight"
count1
6
word"silence"
count1
7
word"could feel"
count1
highlights
0"scanning"
1"scanned"
2"warmth"
3"footsteps"
4"crystal"
5"weight"
6"silence"
7"could feel"
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
narrationSentences85
matches(empty)
58.82% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount4
hedgeCount1
narrationSentences85
filterMatches
0"watch "
1"watch"
hedgeMatches
0"happened to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences87
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen50
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1426
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions28
wordCount1416
uniqueNames14
maxNameDensity0.42
worstName"Quinn"
maxWindowNameDensity1
worstWindowName"Quinn"
discoveredNames
Euston1
Road1
Quinn6
Nest3
Silas1
Harlow1
Raven1
Morris4
Camden3
High1
Street1
Tube1
Victorian1
People3
persons
0"Quinn"
1"Silas"
2"Harlow"
3"Raven"
4"Morris"
5"People"
places
0"Euston"
1"Road"
2"Nest"
3"Camden"
4"High"
5"Street"
globalScore1
windowScore1
38.06% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences67
glossingSentenceCount3
matches
0"quite traffic"
1"egendary; this apparently was one of them"
2"looked like a reclaimed door laid across"
59.75% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords1.403
wordCount1426
matches
0"not calmly, not helpfully, but in a shock of elbows"
1"not helpfully, but in a shock of elbows"
90.04% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences87
matches
0"watched that bar"
1"feel that the"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean47.53
std30.23
cv0.636
sampleLengths
0127
166
233
380
427
576
63
771
821
999
1020
117
1279
1368
1410
1516
1685
1789
1863
1947
2029
2142
2248
2330
2442
2541
2631
2737
2813
2926
84.62% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences85
matches
0"been dragged"
1"been colonised"
2"been improvised"
3"been told"
4"been reclassified"
5"was gone "
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs247
matches
0"was measuring"
1"was selling"
2"was still swinging"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount19
semicolonCount3
flaggedSentences16
totalSentences87
ratio0.184
matches
0"Ahead, the suspect — lean, hooded, moving with the easy economy of someone who'd done this before — cut left between a laundrette and a shuttered off-licence, his trainers slapping through standing water."
1"Her leather watch — the one Morris had given her the week before he died, the strap soft as old skin — caught a gleam from a security light as she raised her torch."
2"\"Federali!\" she shouted, because it was the first loud thing that came to her and because it worked — he stumbled, half-turning, and she gained four feet."
3"Camden was a river of light and bodies even at this hour — the market crowd bleeding out into the pubs, a bus kneeling at the stop, a food van throwing steam into the drizzle."
4"People scattered the way people always scatter — not calmly, not helpfully, but in a shock of elbows and swearing."
5"The buildings crowded in — brickwork black with rain, fire escapes, a wall of peeling posters advertising nights that had happened years ago — and at the end of it, set into the ground like a wound, a stairwell descending below street level."
6"Beyond the barrier, darkness with a faint, impossible warmth to it — amber light, far below, and a sound that wasn't quite traffic."
7"She reached for her shoulder mic and her fingers found only wet nylon — the rain had soaked through, and when she thumbed the button, the speaker coughed static and nothing else."
8"Camden's dead spots were legendary; this apparently was one of them."
9"The stairs were slick with seepage and took her into air that was warm and wrong — too warm for a night like this, and thick with the smell of old iron and something herbal, something sweet and resinous she couldn't name."
10"Glass jars lined a table, and inside them things moved — slow, pale, unhurried."
11"That was the detail that raised the hair on her forearms — not that they ignored a police detective standing at the top of a stairwell in full uniform, but that ignoring her was clearly a rule rather than a choice."
12"If she let him reach it, she lost him — she could feel that the way she'd always felt a trail going cold, a knot tightening behind her sternum."
13"Three options, and her training laid them out with the flat clarity of a briefing: call it in — she couldn't; wait for backup — she'd never get it down here; follow him alone into an unauthorised location full of people who had arranged not to see her."
14"He slowed, glancing back at her — that same flat, wet fear, but with something else underneath it now, something almost like a warning."
15"He passed under the arch and was gone — not around a corner, gone, the air folding shut behind him like it had never been open."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1404
adjectiveStacks0
stackExamples(empty)
adverbCount45
adverbRatio0.03205128205128205
lyAdverbCount10
lyAdverbRatio0.007122507122507123
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences87
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences87
mean16.39
std11.75
cv0.717
sampleLengths
019
133
211
336
44
54
620
717
815
934
1027
116
123
133
1423
1513
166
1732
183
197
2017
2135
2213
2328
243
2520
2615
279
281
292
3024
3121
326
3343
347
3513
367
3723
388
393
409
417
4226
433
447
4532
4611
475
4815
4948
62.45% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.4367816091954023
totalSentences87
uniqueOpeners38
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount6
totalSentences83
matches
0"Then a shape in a"
1"Then he turned into the"
2"Somewhere water dripped with the"
3"Then she thought about the"
4"Then he raised one hand"
5"Somewhere deeper down, a door"
ratio0.072
75.42% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences83
matches
0"She counted the seconds since"
1"He'd been watching the Nest"
2"She took the corner tight,"
3"Her leather watch — the"
4"she shouted, because it was"
5"He didn't stop."
6"He never stopped."
7"He vaulted a low wall"
8"She landed in a crouch,"
9"He went anyway."
10"She pushed after him, breath"
11"She scanned faces in flashes"
12"She ploughed through, caught the"
13"He glanced back at her"
14"Her chest heaved."
15"She knew, with the animal"
16"She reached for her shoulder"
17"She looked at the stairwell."
18"She looked at her watch,"
19"She thought of DS Morris,"
ratio0.361
92.53% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount61
totalSentences83
matches
0"The rain came sideways off"
1"She counted the seconds since"
2"He'd been watching the Nest"
3"People watched that bar."
4"People waited outside it."
5"She took the corner tight,"
6"A bin had gone over"
7"Her leather watch — the"
8"she shouted, because it was"
9"He didn't stop."
10"He never stopped."
11"He vaulted a low wall"
12"She landed in a crouch,"
13"The yard fed into a"
14"He went anyway."
15"Stupidity or route-planning, she couldn't"
16"She pushed after him, breath"
17"Camden was a river of"
18"She scanned faces in flashes"
19"People scattered the way people"
ratio0.735
60.24% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences83
matches
0"If she let him reach"
ratio0.012
12.99% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences55
technicalSentenceCount10
matches
0"Ahead, the suspect — lean, hooded, moving with the easy economy of someone who'd done this before — cut left between a laundrette and a shuttered off-licence, h…"
1"He'd been watching the Nest for two hours before that, standing under Silas's green neon with his collar up, and that was the part that had put him in her noteb…"
2"Pale, wet, with the particular flat terror of a man who hadn't expected to be caught but also hadn't expected anyone to keep up."
3"The buildings crowded in — brickwork black with rain, fire escapes, a wall of peeling posters advertising nights that had happened years ago — and at the end of…"
4"Beyond the barrier, darkness with a faint, impossible warmth to it — amber light, far below, and a sound that wasn't quite traffic."
5"She thought of DS Morris, of a corridor three years ago that had smelled of nothing at all, of a door that had been there and then hadn't, of the file she'd reb…"
6"Somewhere water dripped with the metronomic patience of a place that had been dripping since before the line was closed."
7"That was the detail that raised the hair on her forearms — not that they ignored a police detective standing at the top of a stairwell in full uniform, but that…"
8"Beside it, at roughly chest height, a bracket held a shallow dish, and in the dish lay a small white object that caught the torchlight and did not reflect it."
9"Three options, and her training laid them out with the flat clarity of a briefing: call it in — she couldn't; wait for backup — she'd never get it down here; fo…"
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)"
dialogueSentences3
tagDensity0.333
leniency0.667
rawRatio1
effectiveRatio0.667
80.0980%