Run: 2026-06-01-01KT1H60C286FPENRY30WSMVC2

Run Details

Duration:
1m 45s
Cost:
$0.002642
Provider:
Minimax

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 cobblestones of Brewer Street, turning the gutters into rivers that mirrored the neon blur of Soho. Detective Harlow Quinn pressed her back against the brickwork of a fish and chip shop, the grease-stained awning offering nothing against the downpour. Water streamed down her closely cropped hair, collected in the sharp hollows of her jaw, dripped from the worn leather strap of her watch. She counted her breaths. Three years of bad nights and worse leads had taught her to wait. The suspect emerged from the green-lit mouth of the Raven's Nest, collar up, moving fast. Quinn had been watching the bar for six nights. The clique that met inside those walls thought themselves invisible. The bar's owner, a pale man called Silas with a smile that never reached his eyes, had turned her away twice. The back room, the one behind the bookshelf, was where the real business happened. She'd seen the shadows moving behind the glass. Tonight, someone had slipped out before she could get a warrant. She pushed off the wall. Her shoes slapped wet stone. The suspect cut left onto Dean Street, hood pulled low, shoulders hunched against the weather. Quinn kept her distance, forty paces, the comfortable middle ground where the city noise swallowed the sound of her footfalls. A black cab swerved through a puddle and drenched her legs. She swore under her breath and kept moving. The suspect didn't look back. That bothered her. Streetwise runners always looked back. This one moved with purpose, with knowledge, as though he knew exactly where he was going and what waited there. He crossed Shaftesbury Avenue against the lights. Quinn followed, a taxi braking hard enough to throw her forward, the driver leaning on the horn. "Oi!" the cabbie shouted through his window. "You bloody—" Quinn flashed her badge without breaking stride. The cabbie went quiet. She liked that. Authority did have its uses, even when the things she chased didn't answer to it. DS Morris had known that. Morris had been practical. Morris had also been dead three years, his body found in a lockup in Whitechapel with wounds the pathologist couldn't explain, and Quinn had spent every night since trying to make sense of the unexplained. The suspect reached Tottenham Court Road. He didn't head toward the station. He cut down a narrow service alley Quinn had marked on her map months ago, a place where the city's old veins ran close to the surface. She hesitated at the mouth of the alley, one hand on the damp brick. Blood pounded in her ears. She drew her torch, clicked it once to check the battery, and stepped in. The alley stank of rot and recent rain. Overflow from a broken drainpipe cascaded down the far wall. At the end, a rusted service door stood ajar, orange light spilling from inside, flickering like a dying fire. The suspect was already through it. Quinn heard his footsteps descending, echoing against metal. Stairs. She followed the sound down into a concrete throat, the walls sweating, the air thickening with each step. Old Tube tiles lined the walls, green and cracked, the kind her grandfather would have walked past on his way to the office before the war. The passage bent. The orange light strengthened. The sounds of the city above grew faint, replaced by something else: a low murmur of voices, the clink of coins, the smell of incense and something medicinal beneath it. Sweet, copper-bright. Quinn killed her torch and pressed herself flat against the wall at the bottom of the stairs. The suspect had stopped twenty feet ahead, speaking to a figure in a doorway. The figure was broad, olive-skinned, with short curly dark hair plastered to his forehead. A medallion caught the light at his throat. Quinn recognized the face from a file she'd been building. Tomás Herrera, formerly of the NHS, currently of nowhere official. The paramedic. The healer. The man who stitched up things that shouldn't exist and never asked for payment in money. The two men exchanged words she couldn't quite catch. Then the suspect produced something from his pocket, held it out. In the orange light, it looked like a knuckle of bone, polished smooth. The paramedic took it, examined it, nodded once. He stepped aside, and the suspect passed through the doorway into a low-roofed chamber that stretched beyond the reach of Quinn's vision. Herrera didn't follow. He leaned against the doorframe, arms folded, watching the corridor. Watching her. Their eyes met. Quinn's hand drifted toward her coat pocket, where her service pistol sat heavy and useless. A gun meant nothing down here. She'd been building this case for eighteen months, and everything she'd gathered pointed to a black market that shouldn't exist. Enchanted goods, she had written in her notes, then crossed it out. Banned substances, then crossed that out too. The truth refused to fit inside the boxes the Met gave her. "You're a long way from Brewer Street," Herrera said. His voice carried a faint trace of somewhere else, somewhere warmer than London. "Detective." Quinn stepped out from the wall. Her reflection ghosted across a puddle at her feet. "Tomás Herrera," she said. "Lost your license two years ago. Administering unauthorized treatments." "To people who needed them." "To things that don't exist, according to every report I've ever filed." She took a measured step forward. "The man who just went through that door. Who is he?" Herrera tilted his head. Water dripped from the medallion at his throat, a saint's face worn smooth by years of fingers. "You're not supposed to be down here." "And yet." "And yet." A ghost of a smile. "I could tell you to leave. I could tell you that what's beyond that door isn't a place for a badge. I could tell you that the last officer who came sniffing around ended up in pieces that didn't fit the paperwork." He paused, studied her. "But I remember your partner. Morris. He came to me once, after hours, with wounds I couldn't explain. I helped him. He was a good man." Quinn's chest tightened. The leather of her watch creaked as her wrist turned. "He was." "Whatever you're chasing, Detective, it didn't start with the clique you're watching. It started before them. It started before you. And if you go through that door, you don't get to come back to the world you've been living in." He uncrossed his arms, reached into the pocket of his jacket, and held something out. A bone token, pale and smooth, just like the one the suspect had carried. "This gets you in. One night. No questions about what you see." Quinn stared at the token in his open palm. Behind the doorway, the murmur of voices rose and fell like tide. The air smelled of copper and old stone. The case. Morris. The years of dead ends and inexplicable wounds. Eighteen months of building a picture that refused to resolve into anything the Crown Prosecution Service would touch. Her fingers hovered above the bone.
created_at"2026-06-01T12:05:21.415Z" 6/1/2026, 12:05:21 PM
model"minimax/minimax-m3-20260531"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1755
moderation_latency(null)
generation_time104884
tokens_prompt1140
tokens_completion2597
native_tokens_prompt1134
native_tokens_completion2142
native_tokens_completion_images(null)
native_tokens_reasoning821
native_tokens_cached1120
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)
usage0.0026418
router(null)
provider_responses
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endpoint_id"6851b352-a7e2-45ad-a69e-67ed1208a416"
id"066ca8811eb39f427e420605e898f547"
is_byokfalse
latency1755
model_permaslug"minimax/minimax-m3-20260531"
provider_name"Minimax"
status200
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http_referer(null)
request_id"req-1780315521-A3ZSKYN9AtCgxNbhaIXL"
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api_type"completions"
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upstream_id"066ca8811eb39f427e420605e898f547"
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags6
adverbTagCount0
adverbTags(empty)
dialogueSentences17
tagDensity0.353
leniency0.706
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1181
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)
74.60% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1181
totalAiIsms6
found
0
word"comfortable"
count1
1
word"sense of"
count1
2
word"footsteps"
count1
3
word"echoing"
count1
4
word"measured"
count1
5
word"resolve"
count1
highlights
0"comfortable"
1"sense of"
2"footsteps"
3"echoing"
4"measured"
5"resolve"
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
narrationSentences96
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences96
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences106
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen55
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1181
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
74.85% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions44
wordCount998
uniqueNames23
maxNameDensity1.5
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Brewer1
Street2
Soho1
Harlow1
Quinn15
Raven1
Nest1
Silas1
Dean1
Shaftesbury1
Avenue1
Morris4
Whitechapel1
Tottenham1
Court1
Road1
Tube1
Herrera4
Met1
London1
Crown1
Prosecution1
Service1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Silas"
4"Morris"
5"Tube"
6"Herrera"
7"Met"
8"Service"
places
0"Brewer"
1"Street"
2"Soho"
3"Dean"
4"Shaftesbury"
5"Avenue"
6"Whitechapel"
7"Tottenham"
8"Court"
9"Road"
10"London"
globalScore0.748
windowScore0.833
76.47% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences68
glossingSentenceCount2
matches
0"quite catch"
1"looked like a knuckle of bone, polished s"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1181
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences106
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs27
mean43.74
std30.66
cv0.701
sampleLengths
083
177
211
364
457
59
673
753
819
996
1039
1193
1263
1315
143
1572
1623
1728
185
1929
2028
212
2279
2315
2481
2558
266
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences96
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs166
matches
0"was going"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences106
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1003
adjectiveStacks1
stackExamples
0"short curly dark hair"
adverbCount29
adverbRatio0.028913260219341975
lyAdverbCount5
lyAdverbRatio0.004985044865403789
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences106
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences106
mean11.14
std8.87
cv0.796
sampleLengths
019
123
224
34
413
515
69
710
821
914
108
1111
125
135
1415
1520
1611
178
185
193
205
2120
227
2317
247
252
267
274
283
2915
305
314
3235
336
346
3527
3614
375
3814
398
4010
4119
426
438
441
4518
4626
473
484
4930
53.77% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.39622641509433965
totalSentences106
uniqueOpeners42
38.31% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences87
matches
0"Then the suspect produced something"
ratio0.011
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences87
matches
0"She counted her breaths."
1"She'd seen the shadows moving"
2"She pushed off the wall."
3"Her shoes slapped wet stone."
4"She swore under her breath"
5"He crossed Shaftesbury Avenue against"
6"She liked that."
7"He didn't head toward the"
8"He cut down a narrow"
9"She hesitated at the mouth"
10"She drew her torch, clicked"
11"She followed the sound down"
12"He stepped aside, and the"
13"He leaned against the doorframe,"
14"Their eyes met."
15"She'd been building this case"
16"His voice carried a faint"
17"Her reflection ghosted across a"
18"She took a measured step"
19"He paused, studied her"
ratio0.253
28.97% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount75
totalSentences87
matches
0"Detective Harlow Quinn pressed her"
1"Water streamed down her closely"
2"She counted her breaths."
3"The suspect emerged from the"
4"Quinn had been watching the"
5"The clique that met inside"
6"The bar's owner, a pale"
7"The back room, the one"
8"She'd seen the shadows moving"
9"Tonight, someone had slipped out"
10"She pushed off the wall."
11"Her shoes slapped wet stone."
12"The suspect cut left onto"
13"Quinn kept her distance, forty"
14"A black cab swerved through"
15"She swore under her breath"
16"The suspect didn't look back."
17"That bothered her."
18"This one moved with purpose,"
19"He crossed Shaftesbury Avenue against"
ratio0.862
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences87
matches(empty)
ratio0
77.92% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences44
technicalSentenceCount4
matches
0"Rain hammered the cobblestones of Brewer Street, turning the gutters into rivers that mirrored the neon blur of Soho."
1"The clique that met inside those walls thought themselves invisible."
2"He stepped aside, and the suspect passed through the doorway into a low-roofed chamber that stretched beyond the reach of Quinn's vision."
3"She'd been building this case for eighteen months, and everything she'd gathered pointed to a black market that shouldn't exist."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags6
uselessAdditionCount0
matches(empty)
91.18% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"the cabbie shouted (shout)"
dialogueSentences17
tagDensity0.176
leniency0.353
rawRatio0.333
effectiveRatio0.118
87.0023%