Run: 2026-07-25-01KYD5P8R8BPJ4SVJA5MA9PSCH

Run Details

Duration:
12.6s
Cost:
$0.000557
Provider:
Poolside

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 rain had been falling for hours, turning the streets of Soho into a maze of shimmering reflections and slick black puddles that swallowed the neon signs whole. Detective Harlow Quinn pulled her coat tighter around her shoulders, the fabric stiff with damp, and kept her pace steady despite the ache in her left knee—a souvenir from a case that had gone sideways three years ago. Her partner had died in that case. She still didn’t know all the details, but she knew this much: something unnatural had been involved, and she wasn’t about to let another investigation slip through her fingers. She had been tracking a man for the past week, a ghost who slipped between the cracks of the city’s underbelly. His name was Tomás Herrera, though most people called him Tommy. A former paramedic with a scar running down his forearm and a habit of disappearing into shadows. He’d been providing medical aid to a clique of supernatural criminals, patching them up after jobs gone wrong. Quinn had seen the patterns, the way the injuries didn’t match the stories, the way the witnesses described things that shouldn’t exist. Now she had him. She spotted him standing under the awning of The Raven’s Nest, the dimly lit bar with its green neon sign flickering like a dying heartbeat. He was checking his phone, unaware that she was watching from across the street. The rain drummed against the pavement, and she could see steam rising from the grates in the sidewalk, mixing with the mist that clung to everything. Quinn moved silently, her boots splashing through puddles as she approached. She kept to the shadows, staying low, letting the crowd of late-night revelers and street vendors obscure her approach. When she was close enough, she stepped forward and cleared her throat. Herrera looked up, and for a moment, she saw something flicker in his warm brown eyes—recognition, perhaps, or wariness. He tucked his phone into his jacket pocket and turned to face her. “Detective Quinn,” he said, his voice calm despite the situation. “What brings you here?” “I’d like to ask you a few questions about your… practice,” she said, keeping her tone neutral. “Specifically, about the treatments you’ve been administering to certain individuals.” Herrera’s lips curved into the ghost of a smile. “I’m just a doctor trying to help people, Detective. Maybe you should focus on the real criminals.” “That’s what I’m doing.” He glanced past her, toward the alley that ran alongside the bar. “You know, I’ve always found it interesting how some people see what they want to see. Maybe you’re chasing the wrong ghost.” Quinn’s hand drifted to her holster, but she didn’t draw. Not yet. “I’m not chasing ghosts, Herrera. I’m chasing facts.” He stepped back, his movements fluid, almost catlike. “Then you should know that some facts are better left buried.” Before she could respond, he turned and started walking toward the alley. Quinn’s hand snapped up, gripping his shoulder. “Not so fast.” He didn’t resist, but his expression was unreadable. “You don’t want to do this, Detective. There are things down there that you don’t understand.” “Things like what?” He hesitated, and in that moment, Quinn saw the flicker of something else—fear, maybe, or guilt. “Like the fact that some people don’t heal the way normal people do. Like the fact that some injuries aren’t caused by bullets or blades, but by something far worse.” Quinn released his shoulder and took a step back. “You’re not making sense.” “I’m making perfect sense. You just don’t want to hear it.” He paused, glancing toward the end of the alley where the shadows seemed to deepen. “But if you really want to know the truth, there’s a place. A market. It moves every full moon, and it’s not for the faint of heart.” Quinn’s pulse quickened. She had heard rumors of such a place, whispers in the back rooms of precincts and the hushed conversations of informants who’d seen too much. The Veil Market. A black market for the supernatural, hidden beneath the city’s streets. She had dismissed it as urban legend, but Herrera’s words carried weight. “Where is it?” she asked. “It’s not on any map, Detective. You need a token to get in. A bone token.” Quinn’s jaw tightened. “And how do I get one of those?” Herrera’s smile was bitter. “You don’t. Unless someone gives you one. And I’m not giving you one.” He turned to leave, but Quinn caught his arm again. “You’re protecting them, aren’t you? The clique. The ones who’ve been killing people and leaving no trace.” This time, his reaction was immediate. His hand shot out, gripping her wrist with surprising strength. “Let go of me.” “Not until you tell me everything.” The tension between them crackled like static, and for a moment, Quinn wondered if she was making a mistake. But then she remembered Morris, her partner, and the way his case had ended—with no answers, no closure, just a pile of ash where his body should have been. She wasn’t letting this one slip away. Herrera studied her face, his expression softening slightly. “You really don’t know, do you? About the things that go bump in the night, about the monsters that walk among us. About the fact that some of us are more than human.” Quinn’s grip didn’t loosen. “Then tell me.” He exhaled slowly, glancing toward the alley again. “Fine. But you’re not going to like it.” He led her to the end of the alley, where a rusted fire escape descended into darkness. The sound of dripping water echoed up from below, and the air grew colder, carrying with it the scent of damp earth and something else—something metallic, like old blood. “This is it,” Herrera said, his voice barely audible over the rain. “The entrance to the Veil Market. But you can’t just walk in. You need a token.” Quinn looked down at the fire escape, her heart pounding. She had spent her entire career chasing criminals through the streets, through the sewers, through abandoned buildings. But this—this was different. This was something that challenged everything she thought she knew about the world. “And if I don’t have a token?” “Then you don’t go in.” He paused, turning to face her fully. “But I’m warning you, Detective. Once you cross that threshold, there’s no going back. The Market doesn’t let people leave easily.” Quinn’s hand moved to her holster again, but this time, she didn’t reach for her weapon. Instead, she reached for her radio. “Dispatch, I need backup. Possible supernatural activity, underground location.” “There’s no signal down there,” Herrera said, shaking his head. “And even if there was, they wouldn’t believe you.” Quinn’s fingers hovered over the radio, then retreated. She had been a cop for eighteen years, decorated, respected, trusted. But she had also learned that trust was a luxury she couldn’t always afford. Especially when the truth was something that most people couldn’t handle. “How do I get a token?” she asked again. Herrera’s eyes narrowed. “You don’t. Unless someone gives you one. And I’m not giving you one.” “Then I’ll take it.” He laughed, a short, bitter sound. “You think it’s that easy? The Market doesn’t just hand out tokens. They’re earned, or taken. And if you try to take one, you’ll end up dead.” Quinn’s jaw clenched. “I’ve heard that before.” “And yet you’re still here.” She was. And she wasn’t going to leave without answers. Not when Morris’s death was still a mystery, not when there were people out there who were more than human, who were hiding in the shadows and feeding off the fear of others. “Fine,” she said finally. “If I go down there, what happens?” Herrera’s expression was grim. “You’ll see things that will make you question your sanity. You’ll meet people who don’t exist, and you’ll wonder if you’re still alive. And when you try to leave, the Market will make you choose: stay, or become part of it.” Quinn looked at him, really looked at him, and saw the weight of his words. She saw the fear, the guilt, the knowledge that he had been living in a world that most people couldn’t even imagine. “And if I choose to stay?” “Then you’ll never be the same again.” She nodded slowly. “I’ve already lost too much to be the same.” Herrera studied her for a long moment, then reached into his jacket pocket. He pulled out a small, smooth object that looked like a tooth, but was too white, too perfect. A bone token. “Where did you—” “I found it,” he said quietly. “After Morris died. I was trying to help, and I stumbled into something I shouldn’t have. This was all I could salvage.” Quinn’s breath caught. “You knew him?” “We both worked at the hospital. Before I lost my license.” He hesitated. “He was investigating the same thing you are. The clique. The supernatural crimes. And he found out too much.” Quinn’s hand closed around the token, its surface cool against her skin. “What happened to him?” Herrera’s voice was barely a whisper. “The Market took him. And if you go down there, it might take you too.” Quinn looked down at the fire escape, then back at Herrera. The rain had slowed to a drizzle, and the neon sign above The Raven’s Nest flickered once, twice, before going dark. “I’m going,” she said. Herrera stepped back. “Then you’re making a mistake.” “I know.” She started down the fire escape, the metal groaning beneath her weight. “But it’s a mistake I have to make.” As she descended into the darkness, the sound of her footsteps echoed off the walls, and somewhere in the distance, she could hear the whisper of voices, calling her name. The Market was waiting.
created_at"2026-07-25T17:38:11.858Z" 7/25/2026, 5:38:11 PM
model"poolside/laguna-s-2.1-20260720"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency141
moderation_latency(null)
generation_time11513
tokens_prompt1104
tokens_completion2587
native_tokens_prompt1069
native_tokens_completion2252
native_tokens_completion_images(null)
native_tokens_reasoning0
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)
usage0.0005573
router(null)
provider_responses
0
endpoint_id"ab7f9e97-1af5-4b81-b099-cc932f54234e"
id"chatcmpl-c075f0e1e1694707acc0c266adba4e69"
is_byokfalse
latency140
model_permaslug"poolside/laguna-s-2.1-20260720"
provider_name"Poolside"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1785001091-krPIW8g91EXcvX2fd88Y"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785001091-09fCGdVYWC2CpUiednUW"
upstream_id"chatcmpl-c075f0e1e1694707acc0c266adba4e69"
total_cost0.0005573
cache_discount(null)
upstream_inference_cost0
provider_name"Poolside"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
96.55% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags13
adverbTagCount3
adverbTags
0"she asked again [again]"
1"she said finally [finally]"
2"he said quietly [quietly]"
dialogueSentences58
tagDensity0.224
leniency0.448
rawRatio0.231
effectiveRatio0.103
81.79% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1647
totalAiIsmAdverbs6
found
0
adverb"really"
count3
1
adverb"slightly"
count1
2
adverb"slowly"
count2
highlights
0"really"
1"slightly"
2"slowly"
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)
42.32% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1647
totalAiIsms19
found
0
word"flicker"
count2
1
word"unreadable"
count1
2
word"perfect"
count2
3
word"pulse"
count1
4
word"quickened"
count1
5
word"weight"
count3
6
word"tension"
count1
7
word"echoed"
count2
8
word"pounding"
count1
9
word"jaw clenched"
count1
10
word"whisper"
count2
11
word"flickered"
count1
12
word"footsteps"
count1
highlights
0"flicker"
1"unreadable"
2"perfect"
3"pulse"
4"quickened"
5"weight"
6"tension"
7"echoed"
8"pounding"
9"jaw clenched"
10"whisper"
11"flickered"
12"footsteps"
33.33% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches3
maxInWindow3
found
0
label"eyes widened/narrowed"
count1
1
label"jaw/fists clenched"
count1
2
label"weight of words/silence"
count1
highlights
0"eyes narrowed"
1"jaw clenched"
2"the weight of his words"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences90
matches
0"was bitter"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences90
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences135
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen41
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1641
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions16
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions47
wordCount1045
uniqueNames11
maxNameDensity1.91
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn20
Tomás1
Herrera14
Tommy1
Raven2
Nest2
Veil1
Market2
Morris2
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Tommy"
5"Raven"
6"Nest"
7"Morris"
places
0"Soho"
globalScore0.543
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences66
glossingSentenceCount1
matches
0"looked like a tooth, but was too white, t"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1641
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences135
matches
0"learned that trust"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs67
mean24.49
std19.85
cv0.811
sampleLengths
0102
189
24
365
442
532
614
727
826
94
1034
1120
1219
1319
143
1524
163
1746
1813
1953
2054
215
2216
2311
2417
2527
2620
276
2848
297
3041
317
3216
3346
3428
3544
367
3733
3831
3919
4044
419
4216
434
4433
457
465
4743
4811
4945
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences90
matches
0"been involved"
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount6
totalVerbs188
matches
0"was checking"
1"was watching"
2"was making"
3"wasn’t letting"
4"were hiding"
5"was waiting"
15.87% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences6
totalSentences135
ratio0.044
matches
0"Detective Harlow Quinn pulled her coat tighter around her shoulders, the fabric stiff with damp, and kept her pace steady despite the ache in her left knee—a souvenir from a case that had gone sideways three years ago."
1"Herrera looked up, and for a moment, she saw something flicker in his warm brown eyes—recognition, perhaps, or wariness."
2"He hesitated, and in that moment, Quinn saw the flicker of something else—fear, maybe, or guilt."
3"But then she remembered Morris, her partner, and the way his case had ended—with no answers, no closure, just a pile of ash where his body should have been."
4"The sound of dripping water echoed up from below, and the air grew colder, carrying with it the scent of damp earth and something else—something metallic, like old blood."
5"But this—this was different."
97.57% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1052
adjectiveStacks0
stackExamples(empty)
adverbCount45
adverbRatio0.04277566539923954
lyAdverbCount13
lyAdverbRatio0.012357414448669201
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences135
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences135
mean12.16
std8.44
cv0.694
sampleLengths
028
138
27
329
421
511
617
718
822
94
1025
1114
1226
1311
1419
1512
1619
1713
1810
194
2017
2110
229
2317
244
2512
2622
2710
282
298
308
3111
3212
337
343
358
3616
373
3816
3930
409
414
4226
4327
443
4525
463
4711
4812
495
49.26% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.2740740740740741
totalSentences135
uniqueOpeners37
78.43% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences85
matches
0"Instead, she reached for her"
1"Especially when the truth was"
ratio0.024
60.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount34
totalSentences85
matches
0"Her partner had died in"
1"She still didn’t know all"
2"She had been tracking a"
3"His name was Tomás Herrera,"
4"He’d been providing medical aid"
5"She spotted him standing under"
6"He was checking his phone,"
7"She kept to the shadows,"
8"He tucked his phone into"
9"he said, his voice calm"
10"she said, keeping her tone"
11"He glanced past her, toward"
12"He stepped back, his movements"
13"He didn’t resist, but his"
14"He hesitated, and in that"
15"He paused, glancing toward the"
16"She had heard rumors of"
17"She had dismissed it as"
18"He turned to leave, but"
19"His hand shot out, gripping"
ratio0.4
24.71% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount74
totalSentences85
matches
0"The rain had been falling"
1"Detective Harlow Quinn pulled her"
2"Her partner had died in"
3"She still didn’t know all"
4"She had been tracking a"
5"His name was Tomás Herrera,"
6"A former paramedic with a"
7"He’d been providing medical aid"
8"Quinn had seen the patterns,"
9"She spotted him standing under"
10"He was checking his phone,"
11"The rain drummed against the"
12"Quinn moved silently, her boots"
13"She kept to the shadows,"
14"Herrera looked up, and for"
15"He tucked his phone into"
16"he said, his voice calm"
17"she said, keeping her tone"
18"Herrera’s lips curved into the"
19"He glanced past her, toward"
ratio0.871
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences85
matches
0"Now she had him."
1"When she was close enough,"
2"Before she could respond, he"
ratio0.035
47.62% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences45
technicalSentenceCount6
matches
0"The rain had been falling for hours, turning the streets of Soho into a maze of shimmering reflections and slick black puddles that swallowed the neon signs who…"
1"Detective Harlow Quinn pulled her coat tighter around her shoulders, the fabric stiff with damp, and kept her pace steady despite the ache in her left knee—a so…"
2"She had been tracking a man for the past week, a ghost who slipped between the cracks of the city’s underbelly."
3"The rain drummed against the pavement, and she could see steam rising from the grates in the sidewalk, mixing with the mist that clung to everything."
4"She had heard rumors of such a place, whispers in the back rooms of precincts and the hushed conversations of informants who’d seen too much."
5"He pulled out a small, smooth object that looked like a tooth, but was too white, too perfect."
9.62% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount3
matches
0"Herrera said, his voice barely audible over the rain"
1"He paused, turning to face her fully"
2"She started, the metal groaning beneath her weight"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags9
fancyCount0
fancyTags(empty)
dialogueSentences58
tagDensity0.155
leniency0.31
rawRatio0
effectiveRatio0
75.6799%