Run: 2026-09-23-01M36V1PJE4ZKG3S84TB41K5T3

Run Details

Duration:
1m 51s
Cost:
$0.002283
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 hammered the pavement in sheets and turned the streetlights of Camden into smeared orange ghosts. Quinn ran. Fifty metres ahead, the man in the dark jacket vaulted a bollard without breaking stride. The Saint Christopher medallion caught the light as he turned, and she clocked his face for the third time that night — warm brown eyes, olive skin gone grey under the sodium lamps. Herrera. She'd have his photograph pinned to the board by morning. "Stop! Police!" He glanced back, curled around a corner past a shuttered kebab shop, and vanished into a crowd spilling out of a pub doorway. Quinn shouldered through them. A pint glass shattered behind her. Someone shouted. She didn't turn around. Her lungs burned. The leather watch band on her left wrist had gone slick with rain and she wiped her palm on her coat without thinking, a habit drilled into her eighteen years on the job. Keep your hands dry. Keep your grip. DS Morris used to say it during door-to-doors, chapping his palms together like a man about to climb a rope. She pushed the thought out. Herrera cut left down a side street where the buildings leaned over the road and gutters spat water in brown ropes. She heard his trainers slap the wet tarmac, closing the gap. He was fit but he wasn't a runner — paramedic fit, built for lifting stretchers, not sprinting half a mile in the rain. "Armed officers are four minutes out!" she barked. A lie, but it bought him a look over his shoulder, and looking back cost ground. He fumbled something from his jacket — phone, she thought, until he held it up and spoke into it without breaking stride. "Silas. She's on me. Going down." The words reached her in pieces through the hiss of the downpour. Going down. She filed it. Chase first, meaning later. He hit the mouth of the old pedestrian tunnel beneath the high street and dropped out of the light. Quinn followed. Her hand went to the torch on her belt and threw a cone of white against tiled walls, a long throat of tunnel stinking of standing water and iron. Posters peeled from the walls in long wet tongues. Her footsteps rang. His had stopped. She slowed at the tunnel's throat and pressed her shoulder to the tiles, sweeping the beam ahead. Steps, spiral, going down. The entrance to the disused station yawned behind a rusted gate that hung open on one hinge. "Tomás Herrera." Her voice came out level, the way she'd pitched it across a hundred interview tables. "You're making this worse." A shape moved at the bottom of the stairwell. She caught the medallion again, bright as a fish scale. "You want to come down here, Detective?" His accent thickened the words — Seville under the London he'd learned. "I want you to. But you should know what you're stepping into." "Step out with your hands where I can see them and we'll discuss it." "That's not how this works tonight." He went down the last of the spiral and out of sight. The sound of him faded into something else — a low, wet murmur that didn't belong to pipes or the river. Voices. Dozens of them. And under the voices, a rhythmic clinking, bone on bone, like someone counting rosary beads in the dark. Quinn stood at the top of the stair with the rain running off her jaw and pooling in the hollow of her collarbone. The station below had been sealed since the sixties. Council plans sat on a hard drive in some office with a decaying line drawn through the platform. Whatever was down there had come through that gate without a crowbar. She keyed her radio. "Control, Quinn. Suspect has entered the disused Northern line access at Camden, north entrance. I need units and torches. Over." Static. Then a voice buried under rain-signal. "Say again, Unit Four-Seven?" "He's gone underground. Disused station. I'm at the entrance now. Get me bodies, and get me lighting." "Four-Seven, your nearest unit is eighteen minutes out. Weather's put two cars in the ditch on the Holloway Road. Hold your position and observe." She looked down the stairwell. The light at the bottom had a colour that didn't come from any bulb she knew — a greenish shimmer, like the neon sign that hung over Silas's place in Soho, the one that turned the wet pavement the colour of pond weed. The Raven's Nest. A name that had turned up in three of her files, always in the margins, always in a hand that wasn't the informant's. "Eighteen minutes," she said. "Observe and contain, Four-Seven." Quinn released the key. She checked her cuffs, her baton, the small canister of PAVA on her belt. All of it police issue. None of it designed for whatever had rusted that gate from the inside. "You heard the woman, Detective." Herrera's voice drifted up the stair, closer now, as though he'd come back a few steps to say it. "Eighteen minutes. Plenty of time to decide you never saw me go down there." "You've got a warrant waiting with your name on it. Accessory, handling, grievous bodily harm at a minimum. Whatever this is — " she gestured at the dark below " — the sentence doesn't get shorter for hiding in it." A pause. When he spoke again the accent flattened into something careful. "The boy with the antlers. The one your lot found on the heath. You want to know who put him there. I have the name. Someone down here has the proof. And the price is not money, Detective, and it is not your arrest sheet. Walk away and I'll sell it to someone else before the hour's up." The boy on the heath. Morris's file sat on her desk three years cold and she'd never told a soul she'd kept it. She hadn't told anyone about the wound that hadn't matched any blade, the frost on the inside of the car windows in July. Quinn unclipped her torch and held it down along her leg so the beam pointed at her boot. She checked her phone. One bar of signal that flickered and died. She thought of the Nest, of Silas' green neon and the bookshelf at the back that never quite sat square against the wall, and she thought about how Herrera had said a name into his phone like an address. "You're one of theirs." She kept it flat. "I keep them breathing, Detective. That's all. Same as I kept your lot breathing before your lot decided I did it wrong." She heard him move again — three steps down, four. Waiting for her to fill the gap. Below, the crowd noise swelled and broke over something that sounded like a bell. The clinking multiplied. She smelled the sharp, sugary reek of something alchemical burning, the kind of smell that sat in the back of the throat and wouldn't leave. "Last chance to come up, Herrera." "Last chance to come down." Quinn set her boot on the first step. The metal screamed under her weight and the sound fell away into the shaft like a dropped coin. Below, the market noise rippled once and quieted — dozens of conversations holding their breath for the footstep that didn't belong. She counted the steps and counted her rounds and felt the worn leather of her watch strap against the knob of her wristbone. Eighteen minutes. Bone tokens and banned alchemy and a name she wanted badly enough to leave the rain behind.
created_at"2026-09-23T09:55:14.644Z" 9/23/2026, 9:55:14 AM
model"xiaomi/mimo-v2.6-pro-20260921"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1467
moderation_latency(null)
generation_time111046
tokens_prompt1104
tokens_completion2388
native_tokens_prompt1005
native_tokens_completion2122
native_tokens_completion_images(null)
native_tokens_reasoning513
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)
usage0.002283315
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790157314-FumdtoSFyVL2f1y8fk7R"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790157314-qoyqAfEQhg1vj0gAT23U"
upstream_id"2adb6bdc-23fa-4087-90a1-732fda4927c8_39c9493c9d78429096ef5b4ce06fa705"
provider_responses
0
endpoint_id"4354fc36-b8ab-4ced-aa8c-0efb6b4523f1"
id"2adb6bdc-23fa-4087-90a1-732fda4927c8_39c9493c9d78429096ef5b4ce06fa705"
is_byokfalse
latency1391
model_permaslug"xiaomi/mimo-v2.6-pro-20260921"
provider_name"Xiaomi"
status200
total_cost0.002283315
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
totalTags8
adverbTagCount0
adverbTags(empty)
dialogueSentences23
tagDensity0.348
leniency0.696
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1259
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)
80.14% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1259
totalAiIsms5
found
0
word"shattered"
count1
1
word"footsteps"
count1
2
word"rhythmic"
count1
3
word"flickered"
count1
4
word"weight"
count1
highlights
0"shattered"
1"footsteps"
2"rhythmic"
3"flickered"
4"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
narrationSentences84
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences84
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences100
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen58
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1271
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions23
wordCount959
uniqueNames13
maxNameDensity0.73
worstName"Quinn"
maxWindowNameDensity1
worstWindowName"Nest"
discoveredNames
Camden1
Saint1
Christopher1
Morris2
Seville1
London1
Silas1
Soho1
Raven1
Nest2
Quinn7
July1
Herrera3
persons
0"Saint"
1"Christopher"
2"Morris"
3"Raven"
4"Quinn"
5"Herrera"
places
0"Seville"
1"London"
2"Silas"
3"Soho"
4"July"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences51
glossingSentenceCount1
matches
0"sounded like a bell"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1271
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences100
matches
0"through that gate"
1"rusted that gate"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs41
mean31
std21.24
cv0.685
sampleLengths
018
159
22
339
463
55
655
746
86
921
1065
1138
1221
1319
1431
1514
166
1755
1862
1924
2011
2117
2224
2374
244
254
2636
2738
2840
2912
3058
3146
3269
338
3422
3517
3642
376
385
3947
4042
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences84
matches
0"been sealed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs160
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences8
totalSentences100
ratio0.08
matches
0"The Saint Christopher medallion caught the light as he turned, and she clocked his face for the third time that night — warm brown eyes, olive skin gone grey under the sodium lamps."
1"He was fit but he wasn't a runner — paramedic fit, built for lifting stretchers, not sprinting half a mile in the rain."
2"He fumbled something from his jacket — phone, she thought, until he held it up and spoke into it without breaking stride."
3"\"You want to come down here, Detective?\" His accent thickened the words — Seville under the London he'd learned."
4"The sound of him faded into something else — a low, wet murmur that didn't belong to pipes or the river."
5"The light at the bottom had a colour that didn't come from any bulb she knew — a greenish shimmer, like the neon sign that hung over Silas's place in Soho, the one that turned the wet pavement the colour of pond weed."
6"She heard him move again — three steps down, four."
7"Below, the market noise rippled once and quieted — dozens of conversations holding their breath for the footstep that didn't belong."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount833
adjectiveStacks0
stackExamples(empty)
adverbCount11
adverbRatio0.013205282112845138
lyAdverbCount1
lyAdverbRatio0.0012004801920768306
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences100
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences100
mean12.71
std10.47
cv0.824
sampleLengths
016
12
215
333
41
510
62
723
84
96
102
114
123
1333
144
153
1620
175
1821
1911
2023
218
2216
2322
246
2512
262
273
284
2919
302
3129
329
333
343
3517
364
3717
3817
394
409
4110
4219
4312
4414
456
4612
4721
481
493
72.67% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.46
totalSentences100
uniqueOpeners46
45.66% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences73
matches
0"Then a voice buried under"
ratio0.014
61.10% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences73
matches
0"She'd have his photograph pinned"
1"He glanced back, curled around"
2"She didn't turn around."
3"Her lungs burned."
4"She pushed the thought out."
5"She heard his trainers slap"
6"He was fit but he"
7"He fumbled something from his"
8"She filed it."
9"He hit the mouth of"
10"Her hand went to the"
11"Her footsteps rang."
12"His had stopped."
13"She slowed at the tunnel's"
14"Her voice came out level,"
15"She caught the medallion again,"
16"His accent thickened the words"
17"He went down the last"
18"She keyed her radio."
19"She looked down the stairwell."
ratio0.397
49.04% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount60
totalSentences73
matches
0"The Saint Christopher medallion caught"
1"She'd have his photograph pinned"
2"He glanced back, curled around"
3"Quinn shouldered through them."
4"A pint glass shattered behind"
5"She didn't turn around."
6"Her lungs burned."
7"The leather watch band on"
8"DS Morris used to say"
9"She pushed the thought out."
10"Herrera cut left down a"
11"She heard his trainers slap"
12"He was fit but he"
13"A lie, but it bought"
14"He fumbled something from his"
15"The words reached her in"
16"She filed it."
17"Chase first, meaning later."
18"He hit the mouth of"
19"Her hand went to the"
ratio0.822
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences73
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences38
technicalSentenceCount1
matches
0"She smelled the sharp, sugary reek of something alchemical burning, the kind of smell that sat in the back of the throat and wouldn't leave."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"she barked (bark)"
dialogueSentences23
tagDensity0.087
leniency0.174
rawRatio0.5
effectiveRatio0.087
86.9536%