Run: 2026-07-25-01KYD51BBXFZ7AWTNZS3YHG01J

Run Details

Duration:
15.4s
Cost:
$0.000421
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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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 wind that funneled through the abandoned platforms of the old Camden Town station carried more than just the scent of damp concrete and rust. Detective Harlow Quinn pulled her coat tighter, the weight of her service weapon a familiar anchor against her hip, and stepped over the yellow tape that fluttered like a wounded thing in the underground draft. Eighteen years on the force had taught her that crime scenes lied in the details, but this one felt like it was lying in the very air itself. DS Morris had been dead three years now, his case file still gathering dust in a drawer somewhere, and she had never quite gotten used to working without him. The partner who used to read the silence between heartbeats. Today, though, she had someone else beside her—Detective Inspector Eva Kowalski, the young woman from the museum’s restricted archives who had somehow convinced the brass that her knowledge of ancient rituals and forbidden texts might actually matter in a world that still pretended the supernatural didn’t exist. Eva stood near the mouth of the disused escalator, her round glasses catching the faint glow of Quinn’s phone as she scrolled through something on her screen. The satchel slung across her shoulder was bulging with books, and every few seconds she tucked a stray curl behind her left ear—a nervous habit that had become second nature. She looked more like a graduate student than a detective, but Quinn had learned not to judge by appearances. “The victim,” Eva said without looking up, “was found by a homeless man who claimed he heard screaming. But there are no witnesses, no security cameras—this whole section’s been closed since the seventies. The only way in or out is through the ventilation shafts.” Quinn nodded and moved deeper into the station. The platform stretched out before them, its tiled walls streaked with water damage that formed patterns almost too deliberate to be accidental. In the center of the platform, beneath the flickering fluorescent light that somehow still worked, lay the body. A man in his thirties, dressed in a cheap suit that had seen better decades, his face frozen in an expression that was somewhere between terror and wonder. She crouched beside him, her trained eyes immediately cataloging the obvious. No signs of forced entry, no defensive wounds, no weapon. Just the body, the blood, and something that made her skin crawl. “What killed him?” she asked, though she already suspected the answer wouldn’t be simple. Eva knelt on the other side of the body, her fingers tracing the edges of the pool of blood with the tip of her index finger—not touching, just observing. “There’s no external trauma. No signs of poisoning. The blood loss is consistent with a single wound to the chest, but—” She paused, her green eyes narrowing as she studied the pattern of the spillage. “The blood isn’t flowing downhill. It’s pooling around him in perfect concentric circles, like something is pulling it inward.” Quinn looked closer. She had seen blood pools before, hundreds of them, and they didn’t behave like this. They didn’t form geometric patterns. They didn’t seem to defy gravity. “What do you make of that?” she asked. Eva hesitated, then reached into her satchel and pulled out a small brass object that gleamed dully in the dim light. The face was etched with protective sigils, and the needle spun lazily before settling, pointing not north but toward the far end of the platform. “The Compass,” Eva said quietly. “It’s been doing this all night. It led me here.” Quinn’s jaw tightened. She had heard rumors about the Veil Market, about the black market that operated beneath the city, trading in things that shouldn’t exist. She had dismissed them as urban legends, the kind of stories cops told rookies to keep them from wandering into trouble. But here was Eva, holding proof that some of those stories were real. “And what does it say now?” “It’s pointing toward the tunnel. But that’s not what’s bothering me.” Eva knelt again, this time pulling out a small notebook and flipping through pages covered in careful script. “Look at the blood spatter. It’s not just pooling—it’s forming symbols. Old ones. The kind they used to carve into bones in the Bronze Age.” Quinn squinted at the dark stains on the floor. At first glance, they looked random, but as she studied them longer, she could make out shapes—interlocking spirals, jagged lines, something that resembled a face. Her pulse quickened. “That’s not blood spatter,” she said slowly. “That’s a message.” “Exactly. And if we’re talking about messages, there’s something else.” Eva gestured toward the walls, where the water stains had indeed formed patterns that looked less like decay and more like writing. “These aren’t random. They’re following the same design as the symbols on the Compass. And they’re leading somewhere.” Quinn stood and walked to the far end of the platform, where the tunnel mouth yawned dark and inviting. The fluorescent light above them flickered once, twice, and then died, plunging them into near-darkness. But even without the light, she could see the symbols now—etched into the walls, the floor, the ceiling, forming a path that led deeper into the earth. “Someone wanted us to follow this,” she said. “Or someone wanted us to find him.” She turned back to the body, studying it again with fresh eyes. The man’s expression, that mixture of terror and wonder, made more sense now. He hadn’t been killed here. He had been brought here, placed here, as part of something larger. A ritual, maybe. An offering. “How many others?” she asked. Eva shook her head. “I don’t know. But the Compass—it’s not just pointing to the nearest rift or portal. It’s pointing to the nearest *active* one. And it’s been active for a while.” Quinn looked at the symbols on the walls, the blood on the floor, the spinning needle of the Compass. Everything she thought she knew about the world was shifting, cracking open like one of those old station walls after a century of neglect. DS Morris had died chasing something he couldn’t explain, and she had spent three years pretending it didn’t exist. But here, in the dark beneath Camden, surrounded by symbols that shouldn’t be possible and blood that refused to obey the laws of physics, she could feel the truth pressing in around her. The case wasn’t about a murder. It was about something far older, far more dangerous. And somewhere in the tunnels below them, something was waiting. “We need to go deeper,” she said. Eva looked up from her notes, her face pale in the darkness. “Detective, if we do that, there’s no going back.” Quinn checked her weapon, felt the familiar weight of it, and stepped into the tunnel. The symbols glowed faintly as she passed, and the air grew colder, thicker, like breathing in the space between heartbeats. Behind her, Eva followed, the Compass clutched tight in her hand, its needle spinning wildly now, as if it had finally found what it was looking for. The tunnel stretched ahead, disappearing into blackness, and somewhere in the distance, something whispered her name.
created_at"2026-07-25T17:26:52.646Z" 7/25/2026, 5:26:52 PM
model"poolside/laguna-s-2.1-20260720"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency135
moderation_latency(null)
generation_time8491
tokens_prompt1112
tokens_completion1866
native_tokens_prompt1099
native_tokens_completion1556
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)
usage0.0004211
router(null)
provider_responses
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endpoint_id"ab7f9e97-1af5-4b81-b099-cc932f54234e"
id"chatcmpl-e8caa2313c93414090d7b0ac243c424a"
is_byokfalse
latency135
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-1785000412-XtVpqqrisZJS1X4DklYC"
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api_type"completions"
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upstream_id"chatcmpl-e8caa2313c93414090d7b0ac243c424a"
total_cost0.0004211
cache_discount(null)
upstream_inference_cost0
provider_name"Poolside"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags11
adverbTagCount3
adverbTags
0"Eva said quietly [quietly]"
1"Eva knelt again [again]"
2"she said slowly [slowly]"
dialogueSentences20
tagDensity0.55
leniency1
rawRatio0.273
effectiveRatio0.273
87.60% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1210
totalAiIsmAdverbs3
found
0
adverb"very"
count1
1
adverb"lazily"
count1
2
adverb"slowly"
count1
highlights
0"very"
1"lazily"
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)
42.15% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1210
totalAiIsms14
found
0
word"weight"
count2
1
word"familiar"
count2
2
word"fluttered"
count1
3
word"silence"
count1
4
word"tracing"
count1
5
word"perfect"
count1
6
word"etched"
count2
7
word"pulse"
count1
8
word"quickened"
count1
9
word"flickered"
count1
10
word"could feel"
count1
highlights
0"weight"
1"familiar"
2"fluttered"
3"silence"
4"tracing"
5"perfect"
6"etched"
7"pulse"
8"quickened"
9"flickered"
10"could feel"
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
narrationSentences63
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences63
filterMatches(empty)
hedgeMatches
0"seem to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences72
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen48
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords1202
ratio0.001
matches
0"active"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount966
uniqueNames12
maxNameDensity1.24
worstName"Eva"
maxWindowNameDensity2.5
worstWindowName"Eva"
discoveredNames
Camden2
Town1
Harlow1
Quinn10
Morris2
Detective2
Inspector1
Eva12
Kowalski1
Veil1
Market1
Compass2
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Inspector"
4"Eva"
5"Kowalski"
6"Compass"
places
0"Camden"
1"Town"
globalScore0.879
windowScore0.833
97.92% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences48
glossingSentenceCount1
matches
0"felt like it was lying in the very air"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.832
wordCount1202
matches
0"not north but toward the far end of the platform"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences72
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean40.07
std28.17
cv0.703
sampleLengths
088
186
276
344
476
533
614
783
829
98
1046
1115
1260
136
1454
1537
1610
1750
1861
198
207
2147
225
2333
2495
2525
267
2721
2862
2916
88.55% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences63
matches
0"was etched"
1"been killed"
2"been brought"
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs164
matches
0"was lying"
1"was bulging"
2"was shifting"
3"was waiting"
4"was looking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences5
totalSentences72
ratio0.069
matches
0"Today, though, she had someone else beside her—Detective Inspector Eva Kowalski, the young woman from the museum’s restricted archives who had somehow convinced the brass that her knowledge of ancient rituals and forbidden texts might actually matter in a world that still pretended the supernatural didn’t exist."
1"The satchel slung across her shoulder was bulging with books, and every few seconds she tucked a stray curl behind her left ear—a nervous habit that had become second nature."
2"Eva knelt on the other side of the body, her fingers tracing the edges of the pool of blood with the tip of her index finger—not touching, just observing."
3"At first glance, they looked random, but as she studied them longer, she could make out shapes—interlocking spirals, jagged lines, something that resembled a face."
4"But even without the light, she could see the symbols now—etched into the walls, the floor, the ceiling, forming a path that led deeper into the earth."
96.29% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount972
adjectiveStacks0
stackExamples(empty)
adverbCount43
adverbRatio0.044238683127572016
lyAdverbCount9
lyAdverbRatio0.009259259259259259
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences72
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences72
mean16.69
std10.48
cv0.627
sampleLengths
025
135
228
329
410
547
627
730
819
944
108
1122
1218
1328
1411
1510
1612
1714
1829
1935
2019
213
2215
235
246
258
2621
2725
285
2910
303
3123
3221
3313
346
3529
3625
379
3825
393
407
413
4232
4318
4419
4515
4627
478
487
4912
69.44% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.4583333333333333
totalSentences72
uniqueOpeners33
57.47% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences58
matches
0"Just the body, the blood,"
ratio0.017
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount15
totalSentences58
matches
0"She looked more like a"
1"She crouched beside him, her"
2"she asked, though she already"
3"She paused, her green eyes"
4"She had seen blood pools"
5"They didn’t form geometric patterns."
6"They didn’t seem to defy"
7"She had heard rumors about"
8"She had dismissed them as"
9"Her pulse quickened."
10"she said slowly"
11"She turned back to the"
12"He hadn’t been killed here."
13"He had been brought here,"
14"It was about something far"
ratio0.259
54.83% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount47
totalSentences58
matches
0"The wind that funneled through"
1"Detective Harlow Quinn pulled her"
2"DS Morris had been dead"
3"The partner who used to"
4"Eva stood near the mouth"
5"The satchel slung across her"
6"She looked more like a"
7"Eva said without looking up"
8"Quinn nodded and moved deeper"
9"The platform stretched out before"
10"A man in his thirties,"
11"She crouched beside him, her"
12"she asked, though she already"
13"Eva knelt on the other"
14"She paused, her green eyes"
15"Quinn looked closer."
16"She had seen blood pools"
17"They didn’t form geometric patterns."
18"They didn’t seem to defy"
19"Eva hesitated, then reached into"
ratio0.81
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences58
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences39
technicalSentenceCount11
matches
0"The wind that funneled through the abandoned platforms of the old Camden Town station carried more than just the scent of damp concrete and rust."
1"Detective Harlow Quinn pulled her coat tighter, the weight of her service weapon a familiar anchor against her hip, and stepped over the yellow tape that flutte…"
2"Today, though, she had someone else beside her—Detective Inspector Eva Kowalski, the young woman from the museum’s restricted archives who had somehow convinced…"
3"The satchel slung across her shoulder was bulging with books, and every few seconds she tucked a stray curl behind her left ear—a nervous habit that had become …"
4"The platform stretched out before them, its tiled walls streaked with water damage that formed patterns almost too deliberate to be accidental."
5"A man in his thirties, dressed in a cheap suit that had seen better decades, his face frozen in an expression that was somewhere between terror and wonder."
6"Eva knelt on the other side of the body, her fingers tracing the edges of the pool of blood with the tip of her index finger—not touching, just observing."
7"She had heard rumors about the Veil Market, about the black market that operated beneath the city, trading in things that shouldn’t exist."
8"At first glance, they looked random, but as she studied them longer, she could make out shapes—interlocking spirals, jagged lines, something that resembled a fa…"
9"But here, in the dark beneath Camden, surrounded by symbols that shouldn’t be possible and blood that refused to obey the laws of physics, she could feel the tr…"
10"Behind her, Eva followed, the Compass clutched tight in her hand, its needle spinning wildly now, as if it had finally found what it was looking for."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount0
fancyTags(empty)
dialogueSentences20
tagDensity0.4
leniency0.8
rawRatio0
effectiveRatio0
75.9197%