Run: 2026-06-01-01KT1J7P32F316VTYAWR6JTJ39

Run Details

Duration:
3m 11s
Cost:
$0.005938
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
The pavement threw the rain back at her in sheets. Quinn's shoes slapped wet concrete as she rounded the corner onto Dean Street, lungs burning, the salt-and-pepper crop of her hair plastered flat to her skull. Ahead, a figure in a dark coat cut left through the alley between two shuttered shops, one arm swinging wide for balance. She didn't shout. Shouting wasted breath, and breath was currency now. The watch on her left wrist — leather gone soft with years of sweat and worse — read 11:47. The green neon of The Raven's Nest smeared across the wet road to her right, that gaudy emerald eye she had walked past a dozen times without ever stepping inside. Tonight it meant nothing. The runner was all that mattered. The figure vaulted a low wall, disappeared into the mouth of an alley that reeked of rotting cabbage and something chemical. Quinn took the wall at a run, palms flat on wet brick, swinging her leg over and dropping into ankle-deep water. No sound behind her. No backup. She'd called it in eight minutes ago when the suspect bolted from the café in Soho, but response times in this part of town meant nothing arrived fast enough. The runner knew these streets. That was the problem. He — she was sure it was a man, the build, the gait — ducked into the doorway of a closed pub, then cut right through a narrow passage that opened onto a courtyard stacked with milk crates. Quinn followed, the worn leather of her watch strap dark with rain, her service weapon a dead weight against her hip. She hadn't drawn it. Drawing it meant paperwork. Drawing it meant questions she couldn't answer. The courtyard fed onto a side street. The runner sprinted west, weaving between a row of parked motorcycles, and Quinn pushed harder, the burn in her calves sharpening. Camden was close. She could feel the slope of the ground beginning its long dip toward the canal, and something else beneath that — a pull at the back of her mind she refused to name. The runner vanished. One moment he was there, shoulders cutting through the headlight glare of a black cab, and the next he was gone — swallowed by an arched entrance she had walked past a hundred times and never really seen. A rusted iron gate, half-hidden behind a graffiti'd hoarding advertising a vape shop that had never opened. The arch descended into blackness. Steps, maybe. The smell of damp concrete and old iron rose from it like breath. Quinn stopped at the threshold, chest heaving. Rain drummed on the hoarding above her. The cab driver honked once, cursed, and drove on. She crouched. The mud at the entrance was churned. Fresh footprints, size ten or eleven, leading down. And something else — half-pressed into the soft earth at the edge of the top step. A small disc of yellowed bone, flat as a coin, etched with a symbol she did not recognise. The runner had dropped it. Or left it. Her first instinct was procedural. Call it in. Mark the scene. Wait for Forensics and the drugs squad and the circus that followed a find like this. But the runner was already thirty seconds gone, and thirty seconds in a place like this — a place she had only just learned existed, a place that didn't sit on any map the Met had ever printed — was a lifetime. Quinn picked the bone token up between thumb and forefinger. It was warm. She told herself that was body heat. The stairs went down further than they should have. Past the depth of the old Northern Line platforms, past anything she had ever walked beneath. The walls changed — Victorian tile giving way to older brick, then to something rougher, hand-cut stone that sweated in the dark. Her torch found a string of amber bulbs stapled to the ceiling at irregular intervals, each one guttering in a draft that tasted of incense and copper. Voices below. Not the runner's voice alone — a murmur of others, the low hum of commerce conducted in undertones. Quinn killed her torch. She pressed her back to the stone and listened. "Bone or blood, love. Pick one." The voice belonged to a thin man in a pork-pie hat, blocking what looked like a wooden door set into the brickwork. He hadn't been there a second ago. He was smiling with too many teeth. Quinn held up the token. The man glanced at it, then at her — taking in the soaked coat, the sharp jaw, the watch, the way her hand sat an inch from the weapon she hadn't drawn. "You're not one of his," the man said. Not a question. "No." "Coppers usually come in twos down here. Or threes." He tilted his head. "You're alone." "I am." The smile widened. It did nothing kind to his face. "Market's open till the small hours. The Night King's man — your runner — he's three stalls down, past the alchemists, left at the djinn's lamp. You'll know it by the smell." He stepped aside. "Bone covers one entry. You're paid up." Quinn didn't move. The token sat in her palm, the etched side pressing into the meat of her thumb. Beyond the door she could see a wash of light, warm against the tunnel dark, and hear the clink of coin, the scratch of a quill on parchment, someone laughing in a language she half-recognised from her years in Lewisham. Three years ago DS Morris had followed a lead into a basement in Bermondsey and never walked out. The post-mortem said heart failure. The post-mortem lied. Quinn had spent every shift since then reading case files no one else would touch, knocking on doors that didn't officially exist, learning the names of people who had no right to be people at all. The clique. The Nest. The Market. The word that came back to her most often was *Veil*. She had never been down here. She had told herself she wasn't ready. That she needed more. That DS Morris deserved better than a half-cocked amateur op in a place she didn't understand. The thin man with too many teeth was still waiting. "In or out, detective. The night doesn't hang about."
created_at"2026-06-01T12:23:45Z" 6/1/2026, 12:23:45 PM
model"minimax/minimax-m3-20260531"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1922
moderation_latency(null)
generation_time191415
tokens_prompt1140
tokens_completion5494
native_tokens_prompt1134
native_tokens_completion4688
native_tokens_completion_images(null)
native_tokens_reasoning3973
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)
usage0.00593844
router(null)
provider_responses
0
endpoint_id"6851b352-a7e2-45ad-a69e-67ed1208a416"
id"066cacd1e4dbbadc03192fd24808503c"
is_byokfalse
latency1922
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-1780316625-uHBpZsopUoHHeKjT3vkn"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1780316625-t8cer9UKWJ2zcLDFrsXS"
upstream_id"066cacd1e4dbbadc03192fd24808503c"
total_cost0.00593844
cache_discount0.00005472
upstream_inference_cost0
provider_name"Minimax"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount1
adverbTags
0"He stepped aside [aside]"
dialogueSentences9
tagDensity0.333
leniency0.667
rawRatio0.333
effectiveRatio0.222
95.21% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1044
totalAiIsmAdverbs1
found
0
adverb"really"
count1
highlights
0"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)
76.05% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1044
totalAiIsms5
found
0
word"weight"
count1
1
word"could feel"
count1
2
word"churned"
count1
3
word"etched"
count2
highlights
0"weight"
1"could feel"
2"churned"
3"etched"
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
filterCount1
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)
analyzedSentences90
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen41
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords1058
ratio0.001
matches
0"Veil"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
99.24% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount985
uniqueNames15
maxNameDensity1.02
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Dean1
Street1
Raven1
Nest2
Soho1
Quinn10
Forensics1
Met1
Northern1
Line1
Victorian1
Lewisham1
Morris2
Bermondsey1
Market1
persons
0"Raven"
1"Nest"
2"Quinn"
3"Met"
4"Morris"
places
0"Dean"
1"Street"
2"Soho"
3"Lewisham"
4"Bermondsey"
globalScore0.992
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences50
glossingSentenceCount1
matches
0"looked like a wooden door set into the br"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1058
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences90
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs29
mean36.48
std27.06
cv0.742
sampleLengths
058
111
259
377
49
574
664
73
875
923
1059
1169
1220
1374
1433
156
1636
1737
1811
191
2015
212
2210
2342
2459
2579
2633
2710
289
96.91% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences84
matches
0"was gone "
1"was churned"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs163
matches
0"was still waiting"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount12
semicolonCount0
flaggedSentences9
totalSentences90
ratio0.1
matches
0"The watch on her left wrist — leather gone soft with years of sweat and worse — read 11:47."
1"He — she was sure it was a man, the build, the gait — ducked into the doorway of a closed pub, then cut right through a narrow passage that opened onto a courtyard stacked with milk crates."
2"She could feel the slope of the ground beginning its long dip toward the canal, and something else beneath that — a pull at the back of her mind she refused to name."
3"One moment he was there, shoulders cutting through the headlight glare of a black cab, and the next he was gone — swallowed by an arched entrance she had walked past a hundred times and never really seen."
4"And something else — half-pressed into the soft earth at the edge of the top step."
5"But the runner was already thirty seconds gone, and thirty seconds in a place like this — a place she had only just learned existed, a place that didn't sit on any map the Met had ever printed — was a lifetime."
6"The walls changed — Victorian tile giving way to older brick, then to something rougher, hand-cut stone that sweated in the dark."
7"Not the runner's voice alone — a murmur of others, the low hum of commerce conducted in undertones."
8"The man glanced at it, then at her — taking in the soaked coat, the sharp jaw, the watch, the way her hand sat an inch from the weapon she hadn't drawn."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount984
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.029471544715447155
lyAdverbCount3
lyAdverbRatio0.003048780487804878
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences90
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences90
mean11.76
std10.56
cv0.898
sampleLengths
010
126
222
33
48
519
630
74
86
921
1021
114
122
1329
145
154
1638
1721
184
194
207
217
2221
233
2433
253
2638
2717
285
292
3013
317
327
339
342
357
368
3716
3818
395
403
415
423
433
4416
4542
4610
473
487
499
51.48% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.3888888888888889
totalSentences90
uniqueOpeners35
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences77
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences77
matches
0"She didn't shout."
1"She'd called it in eight"
2"He — she was sure"
3"She hadn't drawn it."
4"She could feel the slope"
5"Her first instinct was procedural."
6"It was warm."
7"She told herself that was"
8"Her torch found a string"
9"She pressed her back to"
10"He hadn't been there a"
11"He was smiling with too"
12"He tilted his head"
13"It did nothing kind to"
14"He stepped aside"
15"She had never been down"
16"She had told herself she"
ratio0.221
70.39% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount60
totalSentences77
matches
0"The pavement threw the rain"
1"Quinn's shoes slapped wet concrete"
2"She didn't shout."
3"Shouting wasted breath, and breath"
4"The watch on her left"
5"The green neon of The"
6"Tonight it meant nothing."
7"The runner was all that"
8"The figure vaulted a low"
9"Quinn took the wall at"
10"She'd called it in eight"
11"The runner knew these streets."
12"That was the problem."
13"He — she was sure"
14"Quinn followed, the worn leather"
15"She hadn't drawn it."
16"The courtyard fed onto a"
17"The runner sprinted west, weaving"
18"Camden was close."
19"She could feel the slope"
ratio0.779
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences77
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
technicalSentenceCount7
matches
0"The figure vaulted a low wall, disappeared into the mouth of an alley that reeked of rotting cabbage and something chemical."
1"He — she was sure it was a man, the build, the gait — ducked into the doorway of a closed pub, then cut right through a narrow passage that opened onto a courty…"
2"The runner sprinted west, weaving between a row of parked motorcycles, and Quinn pushed harder, the burn in her calves sharpening."
3"A rusted iron gate, half-hidden behind a graffiti'd hoarding advertising a vape shop that had never opened."
4"The walls changed — Victorian tile giving way to older brick, then to something rougher, hand-cut stone that sweated in the dark."
5"Her torch found a string of amber bulbs stapled to the ceiling at irregular intervals, each one guttering in a draft that tasted of incense and copper."
6"Quinn had spent every shift since then reading case files no one else would touch, knocking on doors that didn't officially exist, learning the names of people …"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences9
tagDensity0.111
leniency0.222
rawRatio0
effectiveRatio0
79.6428%