Run: 2026-02-19-01KHTQTCTJEMWR412XPMWQQT8E

Run Details

Duration:
21.7s
Cost:
$0.008198

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 came down in sheets, turning London’s streets into a slick, reflective maze. Detective Harlow Quinn’s boots splashed through puddles as she rounded the corner of Greek Street, her breath coming in sharp, controlled bursts. The neon glow of Soho’s bars and clubs bled into the wet pavement, painting everything in sickly greens and reds. She adjusted the grip on her torch, the beam cutting through the downpour like a blade. Ahead, a figure darted into an alley—Tomás Herrera, his dark curls plastered to his forehead, his Saint Christopher medallion bouncing against his chest. He glanced back, eyes wide, before vanishing into the shadows. Quinn didn’t hesitate. She sprinted after him, her coat flaring behind her like a cape. The alley reeked of damp brick and stale beer, the walls slick with grime. Herrera’s footsteps echoed, quick and uneven. He wasn’t built for running—not like her. “Police! Stop!” Her voice cut through the rain, but Herrera didn’t slow. He vaulted over a stack of crates, landing hard on the other side. Quinn followed, her boots skidding on the wet wood before she righted herself. The alley spilled into a wider street, the glow of the Veil Market’s entrance flickering in the distance—a dim, pulsing light beneath a rusted metal grate. Herrera didn’t break stride. He yanked the grate aside and dropped into the darkness below. Quinn slowed at the edge, her torch beam licking the rungs of a ladder leading into the black. The air rising from the tunnel was thick, carrying the scent of old stone and something sharper—copper, maybe, or ozone. She hesitated, her fingers tightening around the cold metal. A shout echoed from below. Herrera’s voice, but not to her. To someone else. She exhaled, sharp and decisive, then descended. The ladder clanged under her weight, the sound swallowed by the vast underground space. The moment her boots hit the ground, the world shifted. The rain, the city, the noise—all of it vanished, replaced by the hum of voices and the flicker of lanterns strung along the walls. The Veil Market sprawled before her, a labyrinth of stalls and shadows, the air thick with the scent of incense and something older, something that prickled at the edges of her senses. Herrera was already moving, weaving through the crowd. Quinn pushed forward, her shoulder brushing against a stall selling jars of murky liquid. The vendor hissed something in a language she didn’t recognize, but she didn’t stop. Ahead, Herrera ducked behind a curtain of hanging bones, the tokens clattering as he passed. Quinn followed, the bones brushing against her face like skeletal fingers. The space beyond was darker, the lanterns fewer. The crowd thinned, the voices dropping to whispers. She caught a glimpse of Herrera’s coat as he slipped through a narrow archway. The stone around it was carved with symbols—twisting, unfamiliar shapes. Quinn’s pulse thudded in her throat. She knew this place wasn’t on any map. Knew, too, that whatever waited beyond that arch wasn’t something she could arrest. But she stepped through anyway. The room beyond was small, the air close. Herrera stood near the far wall, his back pressed against the stone, his chest heaving. He wasn’t alone. A figure loomed beside him—a man with a face like carved marble, his eyes too dark, too still. “Detective,” Herrera said, his voice rough. “You shouldn’t have followed.” Quinn’s torch beam flicked between them. “Step away from him.” The marble-faced man smiled. It wasn’t a kind expression. “Or what? You’ll shoot us both?” Quinn’s fingers twitched near her holster. “I don’t need to shoot anyone to take you in.” Herrera exhaled, sharp and frustrated. “Quinn, you don’t understand what you’re walking into.” “Then explain it to me.” She kept her voice steady, her gaze locked on the stranger. “Starting with why you ran.” The marble-faced man chuckled, a sound like dry leaves scraping stone. “Because some doors, once opened, cannot be closed.” Quinn’s jaw tightened. “That’s not an answer.” Herrera’s fingers curled into fists. “It’s the only one you’re going to get.” The stranger’s smile widened. “For now.” Quinn’s torch flickered. The shadows in the room seemed to deepen, pressing in from the edges. She didn’t lower her gaze. “Herrera. Last chance.” For a heartbeat, no one moved. Then Herrera stepped forward, his hands raised. “Fine. But you’re not going to like it.” The stranger’s laughter echoed as Quinn reached for her cuffs.
total_cost0.008198

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences15
tagDensity0.2
leniency0.4
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount746
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
12.87% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount746
totalAiIsms13
found
0
word"footsteps"
count1
1
word"echoed"
count3
2
word"weight"
count1
3
word"flicker"
count1
4
word"pulse"
count1
5
word"loomed"
count1
6
word"marble"
count3
7
word"flicked"
count1
8
word"flickered"
count1
highlights
0"footsteps"
1"echoed"
2"weight"
3"flicker"
4"pulse"
5"loomed"
6"marble"
7"flicked"
8"flickered"
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
narrationSentences62
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences62
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences74
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords737
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
51.37% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions37
wordCount659
uniqueNames12
maxNameDensity1.97
worstName"Herrera"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
London1
Harlow1
Quinn12
Greek1
Street1
Soho1
Tomás1
Herrera13
Saint1
Christopher1
Veil2
Market2
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Saint"
5"Christopher"
6"Market"
places
0"London"
1"Greek"
2"Street"
3"Soho"
globalScore0.514
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences47
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount737
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences74
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs27
mean27.3
std19.76
cv0.724
sampleLengths
072
133
242
338
441
547
614
77
880
936
1042
1151
125
1344
1410
1510
1615
1716
1813
1921
2019
217
2213
236
2424
2521
2610
99.60% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences62
matches
0"was carved"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs113
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences7
totalSentences74
ratio0.095
matches
0"Ahead, a figure darted into an alley—Tomás Herrera, his dark curls plastered to his forehead, his Saint Christopher medallion bouncing against his chest."
1"He wasn’t built for running—not like her."
2"The alley spilled into a wider street, the glow of the Veil Market’s entrance flickering in the distance—a dim, pulsing light beneath a rusted metal grate."
3"The air rising from the tunnel was thick, carrying the scent of old stone and something sharper—copper, maybe, or ozone."
4"The rain, the city, the noise—all of it vanished, replaced by the hum of voices and the flicker of lanterns strung along the walls."
5"The stone around it was carved with symbols—twisting, unfamiliar shapes."
6"A figure loomed beside him—a man with a face like carved marble, his eyes too dark, too still."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount668
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.019461077844311378
lyAdverbCount1
lyAdverbRatio0.0014970059880239522
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences74
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences74
mean9.96
std6.13
cv0.616
sampleLengths
014
122
220
316
423
510
63
712
814
96
107
1112
1213
1313
1426
154
1611
1718
1820
199
205
216
223
237
2414
2510
2624
2732
288
2914
3014
3115
3211
338
348
3514
3610
376
388
3913
405
418
4215
433
4418
456
464
476
484
494
46.40% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.3108108108108108
totalSentences74
uniqueOpeners23
53.76% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences62
matches
0"Then Herrera stepped forward, his"
ratio0.016
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount15
totalSentences62
matches
0"She adjusted the grip on"
1"He glanced back, eyes wide,"
2"She sprinted after him, her"
3"He wasn’t built for running—not"
4"Her voice cut through the"
5"He vaulted over a stack"
6"He yanked the grate aside"
7"She hesitated, her fingers tightening"
8"She exhaled, sharp and decisive,"
9"She caught a glimpse of"
10"She knew this place wasn’t"
11"He wasn’t alone."
12"It wasn’t a kind expression."
13"She kept her voice steady,"
14"She didn’t lower her gaze."
ratio0.242
16.45% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount55
totalSentences62
matches
0"The rain came down in"
1"Detective Harlow Quinn’s boots splashed"
2"The neon glow of Soho’s"
3"She adjusted the grip on"
4"He glanced back, eyes wide,"
5"Quinn didn’t hesitate."
6"She sprinted after him, her"
7"The alley reeked of damp"
8"Herrera’s footsteps echoed, quick and"
9"He wasn’t built for running—not"
10"Her voice cut through the"
11"He vaulted over a stack"
12"Quinn followed, her boots skidding"
13"The alley spilled into a"
14"Herrera didn’t break stride."
15"He yanked the grate aside"
16"Quinn slowed at the edge,"
17"The air rising from the"
18"She hesitated, her fingers tightening"
19"A shout echoed from below."
ratio0.887
80.65% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences62
matches
0"To someone else."
ratio0.016
95.24% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences30
technicalSentenceCount2
matches
0"The Veil Market sprawled before her, a labyrinth of stalls and shadows, the air thick with the scent of incense and something older, something that prickled at …"
1"Quinn pushed forward, her shoulder brushing against a stall selling jars of murky liquid."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount1
matches
0"Herrera said, his voice rough"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences15
tagDensity0.067
leniency0.133
rawRatio0
effectiveRatio0
81.8778%