Run: 2026-09-23-01M36ST89PSPC8WPDFD4N8RVCM

Run Details

Duration:
1m 2s
Cost:
$0.002039
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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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 entrance to the abandoned platform smelled of wet brick and old copper, and Harlow Quinn counted her steps down the spiral stairwell out of habit. Forty-three. The same as the last time, though the last time the stairwell had been dry and the walls had not been sweating with a condensation that smelled faintly of rosemary and burnt hair. "Watch the last four," she said to the constable behind her. "They drop an inch." The young man — Prewitt, badge still bright enough to catch the beam of his torch — stumbled anyway. Quinn didn't look back. The platform opened up below them like the nave of a church built for something that didn't answer prayers. Tiled walls, cracked and lily-patterned in the fashion of the old Northern line stations, arched over a space where stalls had been folded shut and dragged aside. The Veil Market had left in a hurry — that much was obvious before she'd crossed the yellow tape. Chairs overturned. A trestle table collapsed under its own weight of glass jars. And the bone tokens, dozens of them, scattered across the platform edge like shed teeth. Something had frightened a market full of people who trafficked in things that frightened other people. "Ma'am." Sergeant Adeyemi met her at the tape, his notebook already open. "BTP called it in at ten past two. Night watchman doing a sweep on a trespass report. He found the body and ran. Took us forty minutes to get him to stop running and tell us where." "Who's on scene?" "Forensics is down. Dr. Osei's with the body. And, ah." Adeyemi paused in the specific way of a man stepping around something unpleasant. "DI Carver's here. He arrived about fifteen minutes ago. He's, um. He's holding a view." Quinn's jaw tightened. "He's holding a view already. He's been here fifteen minutes." "Yes, ma'am." She ducked under the tape and walked the platform slowly, torch sweeping. She had learned in eighteen years that a crime scene told its story in the order you let it. Move too fast and you got the ending first, and then you read everything backward to fit it. The dead man lay on his back near the old ticket booth, arms arranged at his sides with a neatness that made the hairs rise on her forearms. Male, mid-forties, heavy coat too warm for June, boots that had cost money and been walked in hard. No visible blood. No visible wound. His face held an expression she associated with people who had been told something astonishing a moment before they stopped being told anything at all. "Harlow." DI Marcus Carver straightened up from where he'd been crouching by the body, brushing dust from his knees. He was a broad man with a soft voice and a tie he'd clearly knotted in the car. "Didn't expect you till morning." "Nobody expects me till morning. That's rather the point of turning up at four." She crouched beside Dr. Osei. "Talk to me." "No external trauma," Osei said, without preamble. "No bruising, no punctures, no petechiae that I can see yet. He's cold — been dead at least six hours, probably more, though this cold does unpleasant things to my estimates. Whatever killed him, it wasn't a knife and it wasn't a rope and it wasn't his heart, or not in any way I've seen before." "Time of death around ten or eleven, then," Carver said. "Which fits." Quinn looked up. "Fits what?" Carver glanced at Adeyemi, which told her he'd already been speaking to Adeyemi, which told her he was building a file before he'd earned one. "It's a market, Harlow. This place. Whatever it is — cult thing, occult thing, kids playing at witchcraft in a Tube station. They sell things down here. We've had intelligence on it for two years." He gestured at the scattered tokens. "This man comes down to buy something — drugs, most likely, some sort of herbal compound, we've had reports of alchemical substances — and the deal goes wrong. He's poisoned. They panic, they scatter, they leave him. The neatness of the body is just them staging it to look ritualistic to spook us off. Classic misdirection." Quinn said nothing for a moment. She turned her torch slowly along the platform floor. "Notice anything about the tokens?" she asked. Carver followed the beam. "They're bone. Weirder than anything I've wanted to think about at four in the morning." "They're scattered. Every single one is scattered — except that line there." She traced the beam along six tokens lying in a perfect row at the platform edge, evenly spaced, pointing with their blunt ends toward the tunnel mouth. "That's not scattering. Someone laid those down. Deliberately. In a hurry but not in a panic. And see the dust? The dust around the body is undisturbed. No footprints. None. Forensics will confirm it, but look for yourself — twenty-odd people in a confined space and there isn't a single scuff mark within two metres of him." Carver frowned. He crouched again, slower this time. "If a deal went wrong," Quinn continued, "people crowd in. Someone steps close to look at him, someone else steps back. You get churn. You get drag marks where he fell." She stood and walked to the ticket booth, running her torch over the counter. Nothing. Not a fingerprint's worth of dust disturbed. "The booth's clean too. Whoever these people were, they transacted in this space — tokens exchanged, goods exchanged — and left not a single mark." "Boots can be wiped. Dust can be—" "Dust can be faked, yes. But not like this." She crouched at the dead man's feet and studied his boots. "Look at his soles. He's walked through something grey. Plaster dust. Fresh, see how it's caught in the tread. But the platform floor is dry brick and oxide — there's no plaster down here at all." Adeyemi, to his credit, had his torch on the stairs. "Ma'am. There's plaster dust on the stairs. About a third of the way up, where the wall's come away." Quinn nodded slowly. "So he came down the stairs normally. He reached the platform. And he walked — carefully, look at the stride length, short steps — he walked to the ticket booth. He wasn't chased. Nobody grabbed at him, or his coat would show it. He came here for something, and he stood here, and then he fell backward, or was placed backward, without a single scuff to show for it." She looked at the arranged arms again. "Not placed. Placed bodies have fingers curled wrong from transport. His are open. Relaxed. He died where he lies and his muscles let go exactly like that." "Then he was poisoned," Carver said, more stubbornly now. "Toxin, no marks. It's not complicated, Harlow." "Then where's the transaction? Where's the money, the goods, the second set of anything? A poisoning at a drug deal leaves two people here, at least. It leaves mess. This—" She shone her torch on the six aligned tokens by the platform edge. "—this is a procession. Someone walked him down here. Six people, six tokens, laid down in order as they went, into the tunnel. That's not a drug deal. That's a rite. And he wasn't a buyer." She pulled on a glove and, with care, reached into the dead man's coat pocket. Carver made a sound of protest that she ignored. Inside: a folded paper, thick, hand-torn. She opened it under her torch. Six names in six different hands. "What is it?" Carver demanded. "A guest list." Her eyes moved down it. Five of the names meant nothing. The sixth meant a great deal. She folded the paper and slipped it into an evidence bag before Carver could take it, and looked toward the tunnel mouth where the six tokens pointed into absolute black. Eva Kowalski's name stared up at her through the plastic. Quinn stood very still. The rosemary smell was stronger near the tunnel. Somewhere in the dark, at the limit of her hearing, she thought she heard the faintest sound of a crowd politely making room. "Seal the tunnel," she said. "And Sergeant — find me Eva Kowalski. Wake her up. Bring her here, and don't let her out of your sight."
created_at"2026-09-23T09:33:42.076Z" 9/23/2026, 9:33:42 AM
model"xiaomi/mimo-v2.6-pro-20260921"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3735
moderation_latency(null)
generation_time61976
tokens_prompt896
tokens_completion2079
native_tokens_prompt857
native_tokens_completion1915
native_tokens_completion_images(null)
native_tokens_reasoning72
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)
usage0.002038845
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790156022-Bnz0GUTrHJ5G9Fx1R1gm"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790156022-2rc2c6dkJ31Rw56AYEdl"
upstream_id"8d7cf8e6-b633-40c1-bf5c-47a567e98f17_ff7a141468d44d158dc126ca64240a58"
provider_responses
0
endpoint_id"2605413e-4a82-494f-ba65-d75f37ac3f11"
is_byokfalse
latency77
model_permaslug"xiaomi/mimo-v2.6-pro-20260921"
provider_name"DeepInfra"
status429
1
endpoint_id"4354fc36-b8ab-4ced-aa8c-0efb6b4523f1"
id"8d7cf8e6-b633-40c1-bf5c-47a567e98f17_ff7a141468d44d158dc126ca64240a58"
is_byokfalse
latency3663
model_permaslug"xiaomi/mimo-v2.6-pro-20260921"
provider_name"Xiaomi"
status200
total_cost0.002038845
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
totalTags19
adverbTagCount0
adverbTags(empty)
dialogueSentences40
tagDensity0.475
leniency0.95
rawRatio0
effectiveRatio0
78.17% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1374
totalAiIsmAdverbs6
found
0
adverb"slowly"
count3
1
adverb"deliberately"
count1
2
adverb"carefully"
count1
3
adverb"very"
count1
highlights
0"slowly"
1"deliberately"
2"carefully"
3"very"
60.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Lily"
1"Marcus"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
81.80% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1374
totalAiIsms5
found
0
word"weight"
count1
1
word"traced"
count1
2
word"perfect"
count1
3
word"churn"
count1
4
word"aligned"
count1
highlights
0"weight"
1"traced"
2"perfect"
3"churn"
4"aligned"
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
narrationSentences65
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences65
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences86
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen74
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1388
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions34
wordCount735
uniqueNames14
maxNameDensity1.22
worstName"Carver"
maxWindowNameDensity3
worstWindowName"Carver"
discoveredNames
Harlow1
Quinn8
Prewitt1
Northern1
Veil1
Market1
Adeyemi5
June1
Marcus1
Carver9
Dr1
Osei2
Five1
Kowalski1
persons
0"Harlow"
1"Quinn"
2"Market"
3"Marcus"
4"Carver"
5"Dr"
6"Osei"
7"Kowalski"
places(empty)
globalScore0.888
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences44
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1388
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences86
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs37
mean37.51
std32.23
cv0.859
sampleLengths
060
115
223
393
416
549
63
738
813
92
1049
1177
1242
1322
1463
1512
165
17122
1815
197
2019
2196
228
2378
247
2556
2629
27106
2816
2979
3036
316
325
3350
3410
3535
3626
89.07% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences65
matches
0"been folded"
1"been walked"
2"been told"
3"being told"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs127
matches
0"was building"
43.19% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences3
totalSentences86
ratio0.035
matches
0"The young man — Prewitt, badge still bright enough to catch the beam of his torch — stumbled anyway."
1"The Veil Market had left in a hurry — that much was obvious before she'd crossed the yellow tape."
2"\"—this is a procession. Someone walked him down here. Six people, six tokens, laid down in order as they went, into the tunnel. That's not a drug deal. That's a rite. And he wasn't a buyer.\""
99.66% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount619
adjectiveStacks0
stackExamples(empty)
adverbCount25
adverbRatio0.04038772213247173
lyAdverbCount8
lyAdverbRatio0.012924071082390954
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences86
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences86
mean16.14
std14.96
cv0.927
sampleLengths
026
11
233
311
44
519
64
719
827
919
102
1111
1215
1316
1412
1537
163
1723
1815
193
2010
212
2212
2319
2418
2528
2618
273
283
2925
3019
3118
325
3318
341
353
367
3756
3810
392
403
412
4225
4341
4456
456
469
477
484
4915
95.35% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.6046511627906976
totalSentences86
uniqueOpeners52
59.52% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences56
matches
0"Somewhere in the dark, at"
ratio0.018
98.57% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences56
matches
0"she said to the constable"
1"She ducked under the tape"
2"She had learned in eighteen"
3"His face held an expression"
4"He was a broad man"
5"She crouched beside Dr"
6"He gestured at the scattered"
7"She turned her torch slowly"
8"She traced the beam along"
9"He crouched again, slower this"
10"She crouched at the dead"
11"She looked at the arranged"
12"She shone her torch on"
13"She pulled on a glove"
14"She opened it under her"
15"Her eyes moved down it"
16"She folded the paper and"
ratio0.304
67.14% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount44
totalSentences56
matches
0"The entrance to the abandoned"
1"The same as the last"
2"she said to the constable"
3"The young man — Prewitt,"
4"Quinn didn't look back."
5"The platform opened up below"
6"The Veil Market had left"
7"A trestle table collapsed under"
8"Something had frightened a market"
9"Sergeant Adeyemi met her at"
10"Adeyemi paused in the specific"
11"Quinn's jaw tightened."
12"She ducked under the tape"
13"She had learned in eighteen"
14"The dead man lay on"
15"His face held an expression"
16"He was a broad man"
17"She crouched beside Dr"
18"Osei said, without preamble"
19"Quinn looked up."
ratio0.786
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences56
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount5
matches
0"The same as the last time, though the last time the stairwell had been dry and the walls had not been sweating with a condensation that smelled faintly of rosem…"
1"Something had frightened a market full of people who trafficked in things that frightened other people."
2"The dead man lay on his back near the old ticket booth, arms arranged at his sides with a neatness that made the hairs rise on her forearms."
3"Male, mid-forties, heavy coat too warm for June, boots that had cost money and been walked in hard."
4"His face held an expression she associated with people who had been told something astonishing a moment before they stopped being told anything at all."
98.68% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags19
uselessAdditionCount1
matches
0"Sergeant Adeyemi met, his notebook already open"
75.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags9
fancyCount3
fancyTags
0"She traced (trace)"
1"Quinn continued (continue)"
2"Carver demanded (demand)"
dialogueSentences40
tagDensity0.225
leniency0.45
rawRatio0.333
effectiveRatio0.15
83.7609%