Run: 2026-02-17-01KHMME55ZHTQYX6F0WME2QR56

Run Details

Duration:
3.4s
Cost:
$0.000073

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="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> 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.

Model response

AI
The neon glow of the Raven’s Nest flickered like a dying ember, casting jagged shadows across the damp pavement. Detective Harlow Quinn’s boots splashed through puddles as she sprinted down the slicked sidewalk, her breath coming in sharp, controlled bursts. The rain had turned the city into a slick, reflective mirror, and the air smelled of wet stone and something older—something metallic, like old blood. She’d been tracking Tomás Herrera for hours. Or at least, she’d been tracking *something* Tomás Herrera had been tracking. A lead that had led her to a place where the rules of the world seemed to bend. And now, here she was, chasing a man through the neon haze of Soho, the scent of whiskey and something darker clinging to the air. Her watch, the worn leather thing she’d gotten from her father, ticked steadily against her wrist. *Three more minutes.* That’s how long she had before the suspect—before *whatever* Tomás was running from—disappeared into the Underground. She skidded to a halt outside the Raven’s Nest, the green neon sign above the door pulsing like a warning. The place was packed, the kind of place where the patrons didn’t look up as they sipped their drinks, where the laughter was low and the air thick with secrets. But it wasn’t the bar itself that had her stomach twisting. It was the way Tomás had mentioned it earlier, how he’d said he’d seen something *interesting* in the back room. And now, here she was, standing on the threshold of a place that shouldn’t exist. A man in a wet trench coat stepped into her path, blocking her view of the door. His face was shadowed, but she could see the way his fingers twitched at his sides, as if he were already counting the ways she could be wrong. “You’re not supposed to be here,” he said, his voice rough. “This ain’t for the likes of you.” Harlow didn’t flinch. She’d spent eighteen years in this city, learning to read people like they were maps. “I’m here because I’m following a lead,” she said, keeping her voice steady. “And if you’re going to stop me, you’re going to have to do better than that.” The man’s eyes narrowed. “You’re not from around here.” “No,” she admitted. “But I know how to find what I’m looking for.” She didn’t wait for him to respond. She turned and pushed past him, the door to the Raven’s Nest groaning open behind her. The interior was a maze of low tables and flickering lights, the kind of place where the patrons moved like shadows, their faces half-lit by the glow of the bar’s single, dim bulb. The air was thick with the scent of aged whiskey and something else—something that made her stomach clench. She didn’t stop to ask where Tomás was. She didn’t even think about the risks. She just moved forward, her boots kicking up a spray of rainwater as she cut through the crowd. Then she saw it. A back room, hidden behind a bookshelf, the door slightly ajar. The kind of place where people met in secret. Where things got interesting. She pushed the door open, the hinges squeaking like a warning. Inside, the room was smaller than she expected, the walls lined with shelves of old maps and strange, leather-bound books. But it wasn’t the books that caught her attention. It was the man sitting in the corner, his back to her, his fingers tracing the edge of a ledger. Tomás. His head snapped up as she stepped inside, his dark eyes locking onto hers. He didn’t look surprised. He looked *relieved*. “You’re here,” he said, his voice low. “I was afraid you’d give up.” Harlow didn’t answer. She didn’t need to. The way he was looking at her, the way his hands trembled just a little, told her everything she needed to know. “What’s going on here?” she demanded, her voice cutting through the silence. Tomás exhaled sharply, his scar along his left forearm catching the dim light. “You don’t know what you’re walking into.” “Then tell me,” she said, stepping closer. “Because I’m not leaving until I do.” The man in the trench coat outside the door let out a low whistle. “You’re in over your head, Quinn.” Harlow didn’t look back. She already knew that. But she also knew that sometimes, the only way to find the truth was to walk right into the fire. And right now, she was walking into something far worse.

Evaluation details

Result Evaluator Details Meta Data
100.0000% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags6
adverbTagCount0
adverbTags(empty)
73.6495% AI-ism adverb frequency
Target: <1% AI-ism adverbs (57 tracked)
wordCount759
totalAiIsmAdverbs2
found
0
adverb"sharply"
count1
1
adverb"slightly"
count1
highlights
0"sharply"
1"slightly"
100.0000% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.0000% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
73.6495% AI-ism word frequency
Target: <1% AI-ism words (140 tracked)
wordCount759
totalAiIsms2
found
0
word"flickered"
count1
1
word"trembled"
count1
highlights
0"flickered"
1"trembled"
66.6667% Cliche density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"eyes widened/narrowed"
count1
1
label"air was thick with"
count1
highlights
0"eyes narrowed"
1"The air was thick with"
100.0000% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences53
matches(empty)
100.0000% Filter word density
Target: ≤12% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences53
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.0000% Overuse of "that" (subordinate clause padding)
Target: ≤10% sentences with "that" clauses
thatCount0
totalSentences61
matches(empty)
100.0000% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs25
mean30.12
std22.31
cv0.741
sampleLengths
065
162
235
381
415
545
618
747
89
913
1074
1133
124
1324
1460
151
1621
1713
1829
1912
2020
2114
2220
2328
2410
100.0000% Passive voice overuse
Target: ≤5% passive sentences
passiveCount2
totalSentences53
matches
0"was packed"
1"was shadowed"
100.0000% Past progressive (was/were + -ing) overuse
Target: ≤10% past progressive verbs
pastProgressiveCount5
totalVerbs120
matches
0"was, chasing"
1"was running"
2"was, standing"
3"was looking"
4"was walking"
94.0000% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount672
adjectiveStacks1
stackExamples
0"strange, leather-bound books."
adverbCount19
adverbRatio0.028273809523809524
lyAdverbCount4
lyAdverbRatio0.005952380952380952
100.0000% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences61
echoCount0
echoWords(empty)
100.0000% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences61
mean12.34
std7.49
cv0.607
sampleLengths
019
121
225
37
412
518
625
716
819
920
1030
1111
1220
1315
1417
1528
1611
177
183
1915
2013
2116
224
235
243
2510
267
2716
2833
2918
308
317
3218
334
3411
359
364
3711
3820
399
4020
411
4214
434
443
457
466
473
484
4922
54.6448% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.3770491803278688
totalSentences61
uniqueOpeners23
8.3333% Dialogue tag variety (said vs. fancy)
Target: ≤30% fancy dialogue tags
totalTags6
fancyCount4
fancyTags
0"she said, keeping her voice steady (say, keep)"
1"she admitted (admit)"
2"demanded (demand)"
3"she said, stepping closer (say, step)"
86.5261%