Run: 2026-06-01-01KT1J502FXASP718X453HRM3N

Run Details

Duration:
1m 43s
Cost:
$0.002470
Provider:
Minimax

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. Detective Harlow Quinn hit the pavement at a dead sprint, her shoes slapping wet concrete as the figure ahead cut through the orange sodium glow of a streetlamp and vanished into the dark between two shuttered shopfronts. She'd lost the tail twice already tonight — once on Shaftesbury Avenue when the bastard had ducked into a crowd spilling out of a theatre, and again on Brewer Street when he'd climbed a fire escape like he had somewhere urgent to be. But she had him now, pinned between instinct and the gnawing certainty in her gut that told her this was the thread. The one that unraveled everything. She was forty-one years old and her knees had opinions about it. She ignored them the way she ignored the stitch in her side and the rain flattening her close-cropped hair against her skull. Eighteen years on the Met taught a body to keep moving when every reasonable nerve was begging it to stop. Her leather watch slapped against her wrist as she pumped her arms, the strap dark with rain, the face she glanced at without slowing reading quarter past eleven. The figure darted left. She followed, ducking under a striped awning that flapped uselessly in the wind, its metal arms groaning. The alley stank of rotting bin bags and something chemical, sweet and sharp, like paint stripper. Her breath came in ragged plumes. She could hear his footsteps ahead — quicker than hers now, lighter, the footfall of someone younger or more afraid or both. She didn't know his name. She knew his face from three weeks of surveillance photos, knew he was connected to the same clique that had left two bodies in the Thames and a third in a skip behind a curry house in Whitechapel. She knew he'd led her to Soho on a thread she almost hadn't pulled. They burst out the other end of the alley onto a backstreet she didn't recognize. Old brickwork, darkened windows, a single red telephone box with the receiver dangling on its cord like a broken arm. The figure skidded, changed direction, and plunged down a set of iron stairs that descended into a sunken service entrance. Quinn heard the clang of his boots on metal, then stone, then nothing. She stopped at the top of the stairs. Rain hit the back of her neck and ran down the collar of her coat, cold as a palm pressed between her shoulder blades. Below, the stairs disappeared into a dim, yellow-stained light. A door hung half-open, ancient wood swollen in its frame. She could hear something underneath the rain — voices, low and many, the murmur of a crowd in a confined space. Quinn drew her torch and unholstered her sidearm. The torch beam cut down the stairs, picking out graffiti tags, a crushed beer can, a discarded glove. At the bottom, the door had a small, barred window, and through it she could see the corner of a tiled wall — old, the kind you didn't see anymore above ground. Underground station tiling. Edwardian. The curved white kind with the green trim. She knew that tile. Every London copper knew that tile. But this wasn't on any map she'd ever studied. She descended. Each step groaned under her weight, the sound swallowed almost immediately by the deeper sound below — that hum of voices, the scratch of something that might have been music, very far away and very low. The air changed as she reached the bottom. Colder. Drier. The rain's noise cut off as if someone had closed a valve, replaced by the dull, mineral hush of deep earth. The door pushed open with no resistance. She stepped through and stopped. The space opened out into what had once been a Tube platform. The tracks had been torn up, and the wide central trench had been floored over with mismatched planks and rugs. Stallholders had set up along both walls under canvas awnings and strings of bare bulbs that gave the place the look of a fever dream of Portobello Road. The tiles were stained, cracked, but still there in their thousands, white and green, watching. People moved through the market in slow, deliberate currents. Hoods up, faces down, hands tucked into long coats. She caught a flash of an eye that was not the right color. A stall to her left displayed jars of something that moved, something viscous and faintly luminous. Another, further down, had a tray of small bones laid out in careful rows like a jeweler's wares. A woman in a headscarf haggled in a language Quinn didn't recognize, the syllables oddly rounded, as if spoken through water. Nobody looked at her. That, more than anything, made the back of her neck prickle. She scanned the crowd and found him. Forty meters ahead, the figure she'd been chasing moved between two stalls and ducked through a hanging curtain of dark fabric. She started after him, then stopped. A man stood at the entrance she'd just come through, leaning against the tiled wall as if he'd been waiting. Short curly dark hair, olive skin, a scar running along his left forearm. A Saint Christopher medallion caught the bulb-light at his throat. He was watching her. Not with hostility. Not with welcome either. With the careful, measured look of a man trying to decide what category she fell into. "Detective Quinn," he said. Not a question. She felt her grip tighten on the pistol at her side. She hadn't drawn it. Not yet. The man's gaze flicked to the holster, then back to her face, and something in his expression softened, just slightly, the way a person's does when they've decided to give you one more chance than they were planning to. "My name is Tomás," he said. "If you go through that curtain, you cannot come back up the way you came down. They will have moved the entrance. They move it every full moon." He paused. "Tonight is a full moon." She looked past him at the curtain. The fabric stirred in a draft she couldn't feel. Somewhere beyond it, the figure she'd been chasing was getting further away. "Who are they?" she said. "People who do not want to be found by people like you." He said it without malice. Almost gently, the way a paramedic tells a patient the news they're not going to enjoy. She remembered the file on him. Former NHS. License revoked. She remembered thinking he was small-time, a curiosity, a footnote. "You need a token to get back in," Tomás added. "Bone, generally. I can get you one. I can get you out." He tilted his head toward the entrance she'd used. "Or you can follow your man through that curtain, and I will not see you again. Neither will anyone else." The market noise washed over her — the low murmur, the soft clink of transactions she didn't want to understand. She thought of DS Morris. She thought of the way he'd looked that night three years ago, white as the tiles around her now, his hand still reaching for something she couldn't see. She'd never understood what happened in that room. She'd never stopped looking. She thought of the file on her desk, the one with the green tab that meant open and unsolved. The thread she was meant to be following led through that curtain. She knew it the way she knew the weight of her own weapon, the way she knew the way the rain sounded against her bedroom window at three in the morning when she couldn't sleep. She looked at Tomás. "How do I know you're not just trying to slow me down?" He almost smiled. "You don't," he said. "You never do. That is the job, Detective." She took a breath. The air tasted of dust and something older, something that had no business being underground. Her finger rested along the frame of the pistol, not on the trigger, not yet. The curtain swayed. Beyond it, somewhere in the labyrinth of stalls and corridors that the old Tube station had become, her suspect was moving, and with him, maybe, the answer to a question that had kept her awake for three years. Quinn looked once more at the tiled ceiling, at the bulbs, at the rain she could no longer hear. Then she stepped forward, past Tomás, toward the curtain, and did not look back.
created_at"2026-06-01T12:22:16.921Z" 6/1/2026, 12:22:16 PM
model"minimax/minimax-m3-20260531"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1432
moderation_latency(null)
generation_time102846
tokens_prompt914
tokens_completion2208
native_tokens_prompt962
native_tokens_completion1841
native_tokens_completion_images(null)
native_tokens_reasoning176
native_tokens_cached114
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)
usage0.00247044
router(null)
provider_responses
0
endpoint_id"6851b352-a7e2-45ad-a69e-67ed1208a416"
id"066cac78725e38754bf65d72f9a69d22"
is_byokfalse
latency1431
model_permaslug"minimax/minimax-m3-20260531"
provider_name"Minimax"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.16.0; linux; x64))"
http_referer(null)
request_id"req-1780316536-NekYPZ55RT8bUEwE4GZq"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1780316536-9SiNanh8IvvSxBmqPo6n"
upstream_id"066cac78725e38754bf65d72f9a69d22"
total_cost0.00247044
cache_discount0.00005472
upstream_inference_cost0
provider_name"Minimax"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags8
adverbTagCount0
adverbTags(empty)
dialogueSentences12
tagDensity0.667
leniency1
rawRatio0
effectiveRatio0
85.82% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1410
totalAiIsmAdverbs4
found
0
adverb"very"
count2
1
adverb"slightly"
count1
2
adverb"gently"
count1
highlights
0"very"
1"slightly"
2"gently"
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)
75.18% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1410
totalAiIsms7
found
0
word"footsteps"
count1
1
word"footfall"
count1
2
word"weight"
count2
3
word"scanned"
count1
4
word"measured"
count1
5
word"flicked"
count1
highlights
0"footsteps"
1"footfall"
2"weight"
3"scanned"
4"measured"
5"flicked"
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
narrationSentences103
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences103
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences107
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen42
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1416
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions25
wordCount1300
uniqueNames18
maxNameDensity0.38
worstName"Quinn"
maxWindowNameDensity1
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn5
Shaftesbury1
Avenue1
Brewer1
Street1
Met1
Thames1
Whitechapel1
Soho1
London1
Tube2
Portobello1
Road1
Saint1
Christopher1
Morris1
Tomás3
persons
0"Harlow"
1"Quinn"
2"Met"
3"Saint"
4"Christopher"
5"Morris"
6"Tomás"
places
0"Shaftesbury"
1"Avenue"
2"Brewer"
3"Street"
4"Thames"
5"Whitechapel"
6"Soho"
7"London"
8"Portobello"
9"Road"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences70
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1416
matches(empty)
73.21% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount3
totalSentences107
matches
0"knew that tile"
1"knew that tile"
2"looked that night"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs28
mean50.57
std31.4
cv0.621
sampleLengths
04
1107
282
3122
468
572
670
719
869
912
1075
1186
1215
1334
1470
157
1656
1741
1828
195
2053
2151
2265
2366
2416
2515
2675
2733
95.04% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences103
matches
0"was connected"
1"been torn"
2"been floored"
3"was meant"
69.28% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs204
matches
0"was begging"
1"was watching"
2"were planning"
3"was getting"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences6
totalSentences107
ratio0.056
matches
0"She'd lost the tail twice already tonight — once on Shaftesbury Avenue when the bastard had ducked into a crowd spilling out of a theatre, and again on Brewer Street when he'd climbed a fire escape like he had somewhere urgent to be."
1"She could hear his footsteps ahead — quicker than hers now, lighter, the footfall of someone younger or more afraid or both."
2"She could hear something underneath the rain — voices, low and many, the murmur of a crowd in a confined space."
3"At the bottom, the door had a small, barred window, and through it she could see the corner of a tiled wall — old, the kind you didn't see anymore above ground."
4"Each step groaned under her weight, the sound swallowed almost immediately by the deeper sound below — that hum of voices, the scratch of something that might have been music, very far away and very low."
5"The market noise washed over her — the low murmur, the soft clink of transactions she didn't want to understand."
88.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1300
adjectiveStacks2
stackExamples
0"half-open, ancient wood"
1"Short curly dark hair,"
adverbCount43
adverbRatio0.03307692307692308
lyAdverbCount7
lyAdverbRatio0.005384615384615384
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences107
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences107
mean13.23
std9.85
cv0.744
sampleLengths
04
137
243
322
45
512
622
720
828
94
1017
1116
126
1322
145
1538
1614
1715
1820
1920
2013
218
2224
239
2410
2521
268
2718
2832
293
301
318
324
336
349
352
3636
378
381
391
4021
417
425
4312
4420
4528
4615
479
489
4913
55.45% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.411214953271028
totalSentences107
uniqueOpeners44
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences90
matches
0"Somewhere beyond it, the figure"
1"Almost gently, the way a"
2"Then she stepped forward, past"
ratio0.033
60.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount36
totalSentences90
matches
0"She'd lost the tail twice"
1"She was forty-one years old"
2"She ignored them the way"
3"Her leather watch slapped against"
4"She followed, ducking under a"
5"Her breath came in ragged"
6"She could hear his footsteps"
7"She didn't know his name."
8"She knew his face from"
9"She knew he'd led her"
10"They burst out the other"
11"She stopped at the top"
12"She could hear something underneath"
13"She knew that tile."
14"She stepped through and stopped."
15"She caught a flash of"
16"She scanned the crowd and"
17"She started after him, then"
18"He was watching her."
19"She felt her grip tighten"
ratio0.4
60.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount72
totalSentences90
matches
0"The rain came sideways."
1"Detective Harlow Quinn hit the"
2"She'd lost the tail twice"
3"The one that unraveled everything."
4"She was forty-one years old"
5"She ignored them the way"
6"Her leather watch slapped against"
7"The figure darted left."
8"She followed, ducking under a"
9"The alley stank of rotting"
10"Her breath came in ragged"
11"She could hear his footsteps"
12"She didn't know his name."
13"She knew his face from"
14"She knew he'd led her"
15"They burst out the other"
16"The figure skidded, changed direction,"
17"Quinn heard the clang of"
18"She stopped at the top"
19"A door hung half-open, ancient"
ratio0.8
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences90
matches(empty)
ratio0
48.52% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences53
technicalSentenceCount7
matches
0"She followed, ducking under a striped awning that flapped uselessly in the wind, its metal arms groaning."
1"She knew his face from three weeks of surveillance photos, knew he was connected to the same clique that had left two bodies in the Thames and a third in a skip…"
2"Each step groaned under her weight, the sound swallowed almost immediately by the deeper sound below — that hum of voices, the scratch of something that might h…"
3"Stallholders had set up along both walls under canvas awnings and strings of bare bulbs that gave the place the look of a fever dream of Portobello Road."
4"A stall to her left displayed jars of something that moved, something viscous and faintly luminous."
5"The air tasted of dust and something older, something that had no business being underground."
6"Beyond it, somewhere in the labyrinth of stalls and corridors that the old Tube station had become, her suspect was moving, and with him, maybe, the answer to a…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount0
matches(empty)
66.67% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount1
fancyTags
0"Tomás added (add)"
dialogueSentences12
tagDensity0.5
leniency1
rawRatio0.167
effectiveRatio0.167
82.5721%