Run: 2026-07-25-01KYD5S5TSWW78DQQYD1EF5M3Y

Run Details

Duration:
12.8s
Cost:
$0.000314
Provider:
Poolside

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="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> 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.

Model response

AI
The abandoned Tube station reeked of damp concrete and something else—ozone, like the air before lightning. Detective Harlow Quinn adjusted the strap of her leather satchel, her boots echoing against the cracked tiles as she followed the beam of her flashlight. The Veil Market had moved locations three nights ago, leaving behind a scene that didn’t belong to any ordinary crime. A body sprawled near the old turnstile, its throat slit diagonally, the knife glinting wickedly in her light. But it was the compass beside it that made her pause. It was a Veil Compass, its brass casing tarnished with greenish patina, the face marked with sigils that seemed to shift in the flashlight’s flicker. The needle spun wildly, then snapped to point east—toward the tunnels that led back to Camden’s surface. Too fast. Too certain. She knelt, gloved already stained with soot from the market’s eternal haze. The victim’s fingers were curled around a scrap of parchment, half-burnt. She tore it free with tweezers and slid it into an evidence bag. The writing was Gaelic, but the script was wrong—too fluid, too deliberate. Not a language a London pickpocket would use. “Detective Quinn.” She looked up to find Eva Kowalski crouched beside her, her satchel slung across one shoulder, round glasses smudged. The occult researcher’s green eyes were wide, scanning the body with the intensity of someone reading braille. “You shouldn’t be here,” Quinn said, but the edge in her voice didn’t reach her eyes. Eva was Aurora’s best friend, and Quinn couldn’t risk letting her near the case. Yet. “The victim’s Dr. Langston,” Eva said, brushing a curl from her face. “He was supposed to meet me here to sell me a grimoire. But the compass… it was his. He used it to navigate the Rift Markets before they stabilized. This one’s pointed to the Old Bailey. He was never supposed to go there.” Quinn’s brow furrowed. “Then where’s the body’s ID?” Eva hesitated. “The coroner’s still processing. But the lab results came back odd. The wounds—they’re not human. The knife’s edge is too clean, too precise. And the blood… it’s not entirely blood.” Quinn stood, her military posture rigid despite the chaos around them. She’d seen bodies before, but never ones that defied explanation. Three years ago, DS Morris had died in a warehouse fire that shouldn’t have been possible. The building hadn’t existed on any map. The investigation had stalled when the flames had consumed the only witness, a teenage informant who’d gone missing the night before. Quinn had been told to close the case. She hadn’t. “Show me the compass again.” Eva hesitated, then pulled the brass device from her satchel. Quinn took it, her gloved fingers tracing the sigils. The needle quivered, then steadied, pointing west now—toward Regent’s Park. Not toward the Old Bailey. Not toward any logical destination. “It’s not working right,” Eva said. “Or maybe it’s working too well. Langston mentioned something about ‘the alignment’ in his notes. The Veil’s thinning again.” Quinn’s jaw tightened. “The alignment?” “The veil between worlds. When it weakens, the compass gets… erratic. But it still points true. To whatever’s trying to get through.” Quinn’s flashlight beam swept the body again. The throat wound was surgical, but the angle was impossible—someone had sliced downward from behind, yet the position of the corpse suggested a frontal attack. And the blood—she’d seen enough crime scenes to know that crimson didn’t pool like that. It clung to the floor in rivulets, drying into streaks that shimmered like oil. “The victim’s position,” she said slowly. “He wasn’t killed from behind. Or in front. He was killed from *below*.” Eva’s breath hitched. “You think—” “Someone came up through the tunnels. Or a rift. The compass was a distraction. Langston wasn’t killed for the grimoire. He was killed because he knew too much about the crossings.” Quinn knelt again, this time inspecting the floor. The tiles were cracked in a pattern that matched no natural erosion. She ran her flashlight along the seams and felt a slight draft—a pull of cold air that didn’t belong in the underground. She pried up a loose slab, revealing a stairwell descending into blackness. “The killer used the rift to get here,” she said. “Then left through the market’s exit. The compass was planted to throw us off.” Eva peered into the darkness. “And the bone token? Langston had one when he entered. But there’s no exit token. That means whoever killed him stayed.” Quinn nodded, her mind already racing. “And they’re still down there. Or somewhere the compass can reach.” She stood, tucking the device into her belt. “We need to find the other rifts before they open. If this is what Morris was investigating…” “Before they open?” Eva repeated. “The alignment’s coming. The veil’s getting thinner every full moon. If we don’t stop whoever’s weaponizing this, more bodies will turn up. Bodies that aren’t entirely human.” Eva straightened, her satchel bumping her hip. “You really think it’s connected to Morris?” Quinn didn’t answer. Instead, she checked her watch—the leather band familiar against her wrist—and counted the hours until dawn. The next full moon was in five days. In the Veil Market, time moved like water, slipping through fingers. But here, in the tunnels, the clock was ticking. She turned toward the stairwell, then paused. “Eva. Look at the parchment again.” The other woman frowned, pulling the evidence bag closer. Quinn pointed to the Gaelic script. “This isn’t just a language. It’s a cipher. Langston was trying to send a warning. The letters spell out coordinates.” Eva squinted, then gasped. “The letters form a grid. The numbers are in the margins—coordinates for a rift. And the ink…” She held the parchment to the light. “It’s still wet. He wrote this minutes before he died. Someone was watching him.” Quinn nodded, already moving. “Then we’d better catch them before they catch us.” Behind them, the compass ticked softly, its needle pointing toward danger—and toward answers that might tear the veil apart entirely.
created_at"2026-07-25T17:39:47.171Z" 7/25/2026, 5:39:47 PM
model"poolside/laguna-xs-2.1-20260625"
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tokens_completion2787
native_tokens_prompt919
native_tokens_completion2387
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native_tokens_reasoning936
native_tokens_cached912
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags8
adverbTagCount1
adverbTags
0"she said slowly [slowly]"
dialogueSentences28
tagDensity0.286
leniency0.571
rawRatio0.125
effectiveRatio0.071
80.33% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1017
totalAiIsmAdverbs4
found
0
adverb"wickedly"
count1
1
adverb"slowly"
count1
2
adverb"really"
count1
3
adverb"softly"
count1
highlights
0"wickedly"
1"slowly"
2"really"
3"softly"
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)
41.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1017
totalAiIsms12
found
0
word"echoing"
count1
1
word"glinting"
count1
2
word"flicker"
count1
3
word"scanning"
count1
4
word"intensity"
count1
5
word"navigate"
count1
6
word"furrowed"
count1
7
word"tracing"
count1
8
word"quivered"
count1
9
word"shimmered"
count1
10
word"racing"
count1
11
word"familiar"
count1
highlights
0"echoing"
1"glinting"
2"flicker"
3"scanning"
4"intensity"
5"navigate"
6"furrowed"
7"tracing"
8"quivered"
9"shimmered"
10"racing"
11"familiar"
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
narrationSentences64
matches(empty)
98.21% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences64
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences84
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen43
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords1005
ratio0.001
matches
0"below"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions44
wordCount642
uniqueNames17
maxNameDensity2.18
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Tube1
Harlow1
Quinn14
Veil3
Market2
Compass1
Camden1
Gaelic2
London1
Eva11
Kowalski1
Aurora1
Morris1
Regent1
Park1
Old1
Bailey1
persons
0"Harlow"
1"Quinn"
2"Compass"
3"Eva"
4"Kowalski"
5"Aurora"
6"Morris"
7"Old"
8"Bailey"
places
0"Veil"
1"Camden"
2"Gaelic"
3"London"
4"Regent"
globalScore0.41
windowScore0.333
95.65% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences46
glossingSentenceCount1
matches
0"sigils that seemed to shift in the flashlight’s flicker"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1005
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences84
matches
0"know that crimson"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs32
mean31.41
std21.18
cv0.674
sampleLengths
090
146
256
32
436
531
655
78
832
975
105
1139
1225
135
1422
1561
1619
175
1831
1954
2024
2126
2242
235
2427
2514
2647
2713
2835
2942
3013
3120
88.82% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences64
matches
0"were curled"
1"been told"
2"were cracked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs120
matches
0"was ticking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount10
semicolonCount0
flaggedSentences9
totalSentences84
ratio0.107
matches
0"The abandoned Tube station reeked of damp concrete and something else—ozone, like the air before lightning."
1"The needle spun wildly, then snapped to point east—toward the tunnels that led back to Camden’s surface."
2"The writing was Gaelic, but the script was wrong—too fluid, too deliberate."
3"The needle quivered, then steadied, pointing west now—toward Regent’s Park."
4"The throat wound was surgical, but the angle was impossible—someone had sliced downward from behind, yet the position of the corpse suggested a frontal attack."
5"And the blood—she’d seen enough crime scenes to know that crimson didn’t pool like that."
6"She ran her flashlight along the seams and felt a slight draft—a pull of cold air that didn’t belong in the underground."
7"Instead, she checked her watch—the leather band familiar against her wrist—and counted the hours until dawn."
8"Behind them, the compass ticked softly, its needle pointing toward danger—and toward answers that might tear the veil apart entirely."
96.14% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount653
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.0444104134762634
lyAdverbCount7
lyAdverbRatio0.010719754977029096
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences84
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences84
mean11.96
std8.03
cv0.671
sampleLengths
016
125
220
318
411
525
617
72
82
912
1011
1113
1212
138
142
1519
1617
1716
1814
191
2012
2143
223
235
242
2530
2611
2710
2816
297
3021
318
322
335
3410
359
3610
375
385
396
4019
413
422
4322
447
4525
4615
4714
486
4913
44.05% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.2976190476190476
totalSentences84
uniqueOpeners25
59.52% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences56
matches
0"Instead, she checked her watch—the"
ratio0.018
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount12
totalSentences56
matches
0"It was a Veil Compass,"
1"She knelt, gloved already stained"
2"She tore it free with"
3"She looked up to find"
4"She’d seen bodies before, but"
5"It clung to the floor"
6"she said slowly"
7"She ran her flashlight along"
8"She pried up a loose"
9"She stood, tucking the device"
10"She turned toward the stairwell,"
11"She held the parchment to"
ratio0.214
49.29% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount46
totalSentences56
matches
0"The abandoned Tube station reeked"
1"Detective Harlow Quinn adjusted the"
2"The Veil Market had moved"
3"A body sprawled near the"
4"It was a Veil Compass,"
5"The needle spun wildly, then"
6"She knelt, gloved already stained"
7"The victim’s fingers were curled"
8"She tore it free with"
9"The writing was Gaelic, but"
10"She looked up to find"
11"The occult researcher’s green eyes"
12"Quinn said, but the edge"
13"Eva was Aurora’s best friend,"
14"Eva said, brushing a curl"
15"Quinn’s brow furrowed."
16"Quinn stood, her military posture"
17"She’d seen bodies before, but"
18"The building hadn’t existed on"
19"The investigation had stalled when"
ratio0.821
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences56
matches(empty)
ratio0
19.70% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences29
technicalSentenceCount5
matches
0"The Veil Market had moved locations three nights ago, leaving behind a scene that didn’t belong to any ordinary crime."
1"But it was the compass beside it that made her pause."
2"It was a Veil Compass, its brass casing tarnished with greenish patina, the face marked with sigils that seemed to shift in the flashlight’s flicker."
3"The investigation had stalled when the flames had consumed the only witness, a teenage informant who’d gone missing the night before."
4"She ran her flashlight along the seams and felt a slight draft—a pull of cold air that didn’t belong in the underground."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount1
fancyTags
0"Eva repeated (repeat)"
dialogueSentences28
tagDensity0.214
leniency0.429
rawRatio0.167
effectiveRatio0.071
80.2018%