Run: 2026-06-01-01KT1J3GFDM1T7QFZSG99PTBWP

Run Details

Duration:
1m 49s
Cost:
$0.002798
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
Rain hit the back of Quinn's neck like thrown coins. She lowered her shoulder into the wind and ran. The suspect — a wiry man in a dark anorak, face obscured by a hood — was fast. Faster than a man his size should have been, given the slick of standing water that turned the pavement into a grey mirror. He cut left on Berwick Street, past the shuttered market stalls, and Quinn followed, her leather-soled Oxfords finding purchase where his trainers slipped. Eighteen years of chasing men through London streets had taught her how to read a chase by sound alone: his ragged breathing, the slap of wet fabric, the click of her own watch against her wrist bone as she pumped her arms. The worn leather strap had been a gift from Morris. She hadn't taken it off in three years. "Stop!" she shouted, not because she thought he would, but because the words were a reflex, a procedural muscle memory she could no longer suppress. Her lungs burned. The rain came down harder. He didn't stop. He darted through a gap between two parked vans, and she heard him swear as he stumbled, recovered, kept going. Smart. Not panicking. Whoever this man was, he knew where he was going. That was the part that worried her. The part that had worried her since she'd first clocked him outside the warehouse on Wardour Street, slipping a package the size of a shoebox into a holdall before melting into the Soho crowd like he'd never existed. She'd been watching the Nest for six weeks. Silas's bar. The Raven's Nest, with its green neon bleeding into the wet street like a sickly wound. The place had been clean on paper — no licenses pulled, no noise complaints, nothing the Met wanted to touch. But Quinn had learned to read the silences in a file, and the silence around the Nest was the loudest thing she'd ever heard. Three years ago, Morris had gone into a place that didn't exist on any map. A place that smelled of old paper and copper. A place where the rules of her world had simply stopped applying. She'd found his body in a service alley off Fleet Street, and no autopsy had explained what the coroner called "the soft tissue trauma." No one had explained anything at all. She ran. The suspect turned sharply onto Brewer Street, then again onto Lexington, heading north. The route was deliberate, she realized. Not the panicked zig-zag of a cornered man, but a pattern. Arteries converging on a heart. She thought of a cardiogram, of the sharp peaks of a failing rhythm. Her radio crackled at her hip. She ignored it. By the time they reached the canal at Regent's Park, she had a stitch in her side and a new thought forming at the back of her skull, cold and unwelcome. He was leading her. Not away from something. Toward it. He slowed. Not stopping — that would have been too obvious — but easing back into a fast walk, the way a man does when he's sure of his footing. They were in Camden now, the old streets narrowing, the tourist noise of the market long dead at this hour. The warehouses rose around them, brick and corrugated iron, windows like closed eyes. He turned down a service stair. She almost missed the entrance — a rusted door behind a dumpster, half-hidden by graffiti that might have been a sigil or might have been a tag. The door was already swinging shut. She caught it with her shoulder and plunged down. The stairwell smelled of damp concrete and something else. Something older. Like the inside of a church that had been sealed for centuries, or a hospital room that had held too much. Her skin prickled. The fluorescent tube on the ceiling was dead, and the only light came from the suspect's torch, a wavering disc of white that bounced ahead of her down the curving stairs. She drew her baton. Not her pistol. She didn't know why, exactly, except that something in the back of her mind was already telling her that a gun would be the wrong shape for whatever was waiting below. The stairs went on longer than they should have. London geology didn't work like this. There should have been a platform, a concourse, a turnstile. Instead, the stairwell simply ended in a low, arched opening, and beyond it — Quinn stopped. The space opened into what looked like a Tube platform, but the tiles were wrong. The wrong color, the wrong age. The ceiling arched higher than any station she knew, and the darkness at the far end of the platform wasn't an absence of light but a substance, a presence. The air moved here, but not from any visible source. It moved like breath. At the near end of the platform, set into a pillar of chipped brick, was a hollow. About the size of a human palm. The suspect was standing in front of it, the holdall at his feet, his hood thrown back. He was younger than she'd thought. Mid-twenties. Hollow cheeks. Eyes that didn't blink enough. He was holding something in his hand. A small object, bone-colored, the size of a knucklebone. He held it up. The light caught a glyph carved into its surface. "Stay where you are, Detective," he said. His voice was soft, almost polite. "You've come further than you should have. I'll give you that. But you can't follow me in here. Not without a token. And I don't think you have one." Quinn's grip tightened on her baton. Her breathing sounded very loud in the cavernous space. "Who are you?" she said. "What's in the holdall?" He smiled. It didn't reach his eyes. "You know the answer to that, Detective. You've known for six weeks. You just haven't wanted to say it out loud." Behind him, beyond the pillar, the platform stretched into shadow. She thought she could see movement in the dark — a shifting, a rearranging. A flicker of light that wasn't fire. The smell of old paper was stronger now. The smell of copper. She thought of Morris. The way his eyes had looked in that service alley. The look on his face that wasn't fear, exactly, but something worse. Recognition. She thought of the file on her desk at the Yard. The photograph of the man she'd been following for three years, the one who'd walked out of the place that wasn't on any map. The man she had never caught, because he had never been human. She thought of a bar in Soho with a green neon sign and a back room behind a bookshelf. She thought of a man named Tommy Herrera, who used to work for the NHS before they'd taken his license away. A man who could stitch a wound and ask no questions. A man who might be the only person in London who would believe her if she told him what she was looking at. But those were thoughts for later. Right now, there was only this: a low archway, a hollow in a brick pillar, a young man holding a bone, and a darkness that was waiting to see what she would do. Quinn set her jaw. The sharp line of it ached with old tension. "What's the token for?" she asked. Her voice was steady. Military precise. The voice of a woman who had walked into places that should not exist and walked back out again, and would do it as many times as it took. The young man's smile faded. He looked at her for a long moment, and in that look she saw something she had not expected. Pity. "You really don't know," he said. "You actually came down here not knowing." The darkness behind him breathed. Quinn took one step forward. Then another. The baton stayed at her side. Her free hand reached into the pocket of her coat and closed around the cold cylinder of her torch. "Show me," she said.
created_at"2026-06-01T12:21:28.178Z" 6/1/2026, 12:21:28 PM
model"minimax/minimax-m3-20260531"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency977
moderation_latency(null)
generation_time108791
tokens_prompt914
tokens_completion2505
native_tokens_prompt962
native_tokens_completion2114
native_tokens_completion_images(null)
native_tokens_reasoning594
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)
usage0.00279804
router(null)
provider_responses
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endpoint_id"6851b352-a7e2-45ad-a69e-67ed1208a416"
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is_byokfalse
latency977
model_permaslug"minimax/minimax-m3-20260531"
provider_name"Minimax"
status200
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api_type"completions"
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences11
tagDensity0.636
leniency1
rawRatio0
effectiveRatio0
88.86% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1347
totalAiIsmAdverbs3
found
0
adverb"sharply"
count1
1
adverb"very"
count1
2
adverb"really"
count1
highlights
0"sharply"
1"very"
2"really"
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)
85.15% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1347
totalAiIsms4
found
0
word"silence"
count1
1
word"wavering"
count1
2
word"flicker"
count1
3
word"tension"
count1
highlights
0"silence"
1"wavering"
2"flicker"
3"tension"
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
narrationSentences117
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences117
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences121
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
totalWords1355
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions37
wordCount1271
uniqueNames21
maxNameDensity0.55
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Street"
discoveredNames
Quinn7
Berwick1
Street4
Oxfords1
London3
Morris3
Wardour1
Soho2
Nest3
Raven1
Met1
Fleet1
Brewer1
Lexington1
Regent1
Park1
Camden1
Tube1
Yard1
Tommy1
Herrera1
persons
0"Quinn"
1"Morris"
2"Raven"
3"Met"
4"Lexington"
5"Tommy"
6"Herrera"
places
0"Berwick"
1"Street"
2"London"
3"Wardour"
4"Soho"
5"Fleet"
6"Brewer"
7"Regent"
8"Camden"
9"Yard"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences76
glossingSentenceCount1
matches
0"looked like a Tube platform, but the tile"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.738
wordCount1355
matches
0"Not the panicked zig-zag of a cornered man, but a pattern"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences121
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs37
mean36.62
std24.88
cv0.679
sampleLengths
019
1106
218
333
481
570
667
72
848
99
1041
1163
1248
1366
1438
1539
162
1764
1855
1916
2013
2142
2215
239
2428
2543
2627
2747
2874
2939
3013
3141
3225
3313
345
3532
364
99.27% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences117
matches
0"been, given"
1"been sealed"
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount9
totalVerbs197
matches
0"was going"
1"was leading"
2"was already swinging"
3"was already telling"
4"was waiting"
5"was standing"
6"was holding"
7"was looking"
8"was waiting"
1.18% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences6
totalSentences121
ratio0.05
matches
0"The suspect — a wiry man in a dark anorak, face obscured by a hood — was fast."
1"The place had been clean on paper — no licenses pulled, no noise complaints, nothing the Met wanted to touch."
2"Not stopping — that would have been too obvious — but easing back into a fast walk, the way a man does when he's sure of his footing."
3"She almost missed the entrance — a rusted door behind a dumpster, half-hidden by graffiti that might have been a sigil or might have been a tag."
4"Instead, the stairwell simply ended in a low, arched opening, and beyond it —"
5"She thought she could see movement in the dark — a shifting, a rearranging."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1268
adjectiveStacks0
stackExamples(empty)
adverbCount30
adverbRatio0.02365930599369085
lyAdverbCount9
lyAdverbRatio0.007097791798107256
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences121
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences121
mean11.2
std9.15
cv0.817
sampleLengths
010
19
218
323
423
542
610
78
825
93
105
113
1220
131
142
1510
167
1738
188
192
2016
2120
2224
2315
249
2512
2631
272
2813
296
3011
315
3213
336
343
3531
364
374
382
392
4028
4120
4213
436
4427
456
469
479
482
4921
48.21% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats15
diversityRatio0.36363636363636365
totalSentences121
uniqueOpeners44
34.36% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences97
matches
0"Instead, the stairwell simply ended"
ratio0.01
75.67% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount35
totalSentences97
matches
0"She lowered her shoulder into"
1"He cut left on Berwick"
2"She hadn't taken it off"
3"she shouted, not because she"
4"Her lungs burned."
5"He didn't stop."
6"He darted through a gap"
7"She'd been watching the Nest"
8"She'd found his body in"
9"She thought of a cardiogram,"
10"Her radio crackled at her"
11"She ignored it."
12"He was leading her."
13"They were in Camden now,"
14"He turned down a service"
15"She almost missed the entrance"
16"She caught it with her"
17"Her skin prickled."
18"She drew her baton."
19"She didn't know why, exactly,"
ratio0.361
52.78% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount79
totalSentences97
matches
0"She lowered her shoulder into"
1"The suspect — a wiry"
2"He cut left on Berwick"
3"The worn leather strap had"
4"She hadn't taken it off"
5"she shouted, not because she"
6"Her lungs burned."
7"The rain came down harder."
8"He didn't stop."
9"He darted through a gap"
10"That was the part that"
11"The part that had worried"
12"She'd been watching the Nest"
13"The Raven's Nest, with its"
14"The place had been clean"
15"A place that smelled of"
16"A place where the rules"
17"She'd found his body in"
18"The suspect turned sharply onto"
19"The route was deliberate, she"
ratio0.814
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences97
matches
0"Whoever this man was, he"
1"By the time they reached"
ratio0.021
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences48
technicalSentenceCount2
matches
0"Faster than a man his size should have been, given the slick of standing water that turned the pavement into a grey mirror."
1"Right now, there was only this: a low archway, a hollow in a brick pillar, a young man holding a bone, and a darkness that was waiting to see what she would do."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount0
matches(empty)
66.67% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount1
fancyTags
0"she shouted (shout)"
dialogueSentences11
tagDensity0.545
leniency1
rawRatio0.167
effectiveRatio0.167
85.0719%