Run: 2026-02-19-01KHTRQAKCTVV9S00GWRWSBC6G

Run Details

Duration:
5.8s
Cost:
$0.000303

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
Detective Harlow Quinn stepped onto the platform, her worn leather boots echoing in the abandoned Tube station. The air was damp, heavy with the scent of decay and something else - an acrid tang that pricked her nostrils. She glanced at the peeling posters, the rusted tracks, the graffiti-scarred walls. Camden's forgotten underbelly, now a makeshift crime scene. Her partner, Detective Sergeant Thompson, was already there, his lanky frame hunched over a body. He looked up as she approached, his face pale in the harsh glow of the portable lights. "Quinn," he acknowledged, rubbing his gloved hands together to ward off the chill. Harlow crouched beside him, her sharp jaw set. The victim was a young woman, her curly red hair fanned out around her like a bloody halo. Her eyes were open, wide and glassy, staring at nothing. A worn leather satchel lay beside her, its contents spilled - books, a notepad, a round pair of glasses. Harlow picked up the glasses, examined them. "Eva Kowalski," she murmured, recognition flickering in her brown eyes. Thompson nodded. "Her ID was in the satchel. She's a researcher at the British Museum." Harlow stood, her gaze sweeping the scene. Something was off. She could feel it, like a prickle at the back of her neck. She walked to the edge of the platform, looked down at the tracks. No blood spatter, no signs of struggle. No exit wounds, either. Just a neat hole in Eva's temple, a single gunshot wound. "Robbery gone wrong?" Thompson suggested, following her gaze. "She was carrying a wad of cash. Maybe she was meeting someone here, a deal went sour?" Harlow shook her head. "No forced entry, no signs of a struggle. And why meet here? It's isolated, but not that isolated. Too many risks." She turned, her eyes scanning the station again. Her gaze snagged on something glinting in the darkness. She stepped towards it, her military precision evident in her measured stride. It was a compass, small and brass, its casing etched with strange symbols. She picked it up, turned it in her hands. The needle spun wildly, then suddenly stilled, pointing towards the wall. She frowned, tucked it into her pocket. "Quinn?" Thompson asked, joining her. "What is it?" "Something's not right here, Thompson," she said, her voice low. "This isn't a robbery. It's a message." She turned back to the body, her eyes narrowing as she noticed something else. A small, intricate tattoo on Eva's wrist - a symbol she'd seen before. She crouched down, examined it closer. It was a sigil, one she'd seen in the case file of her partner's disappearance three years ago. A case that had been closed, the file sealed, the memory of Morris' death buried under a mountain of bureaucracy. Her heart pounded in her chest. This was no ordinary crime scene. This was a calling card. She stood, her eyes scanning the station again. This time, she saw it. A faint shimmer in the wall, barely visible, but there. She walked towards it, her steps echoing in the silent station. She reached out, her fingers brushing against the cold brick. It was a rift, a portal. Supernatural energy pulsed from it, strong and steady. "Quinn?" Thompson asked, concern in his voice. "What are you doing?" She ignored him, her mind racing. This was why Morris had disappeared. This was why she'd been chasing shadows for three years. She reached into her pocket, pulled out the Veil Compass. Its needle pointed straight at the rift. "This is a supernatural crime scene, Thompson," she said, her voice steady despite the adrenaline coursing through her veins. "And I think I know who's behind it." She turned to him, her eyes hard. "Get forensics down here. Tell them to look for trace evidence, anything out of the ordinary. And Thompson?" She paused, her gaze flicking back to the rift. "Be careful. We're not alone down here." With that, she stepped through the rift, leaving Thompson staring after her, his face pale, his mouth open in shock. The station fell silent, the only sound the distant rumble of the Tube, a reminder of the world above, a world that knew nothing of the darkness lurking beneath.
total_cost0.00030285

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags10
adverbTagCount0
adverbTags(empty)
dialogueSentences16
tagDensity0.625
leniency1
rawRatio0
effectiveRatio0
92.89% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount703
totalAiIsmAdverbs1
found
0
adverb"suddenly"
count1
highlights
0"suddenly"
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Thompson"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
7.54% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount703
totalAiIsms13
found
0
word"echoing"
count2
1
word"chill"
count1
2
word"could feel"
count1
3
word"scanning"
count2
4
word"glinting"
count1
5
word"measured"
count1
6
word"etched"
count1
7
word"intricate"
count1
8
word"pulsed"
count1
9
word"racing"
count1
10
word"reminder"
count1
highlights
0"echoing"
1"chill"
2"could feel"
3"scanning"
4"glinting"
5"measured"
6"etched"
7"intricate"
8"pulsed"
9"racing"
10"reminder"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"heart pounded in chest"
count1
highlights
0"heart pounded in her chest"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences58
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences58
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences65
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords705
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
98.19% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions22
wordCount579
uniqueNames10
maxNameDensity1.04
worstName"Thompson"
maxWindowNameDensity2
worstWindowName"Harlow"
discoveredNames
Harlow5
Quinn1
Tube2
Detective2
Sergeant1
Thompson6
Eva2
Morris1
Veil1
Compass1
persons
0"Harlow"
1"Quinn"
2"Sergeant"
3"Thompson"
4"Eva"
5"Morris"
places(empty)
globalScore0.982
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences49
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount705
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences65
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs18
mean39.17
std19.99
cv0.51
sampleLengths
058
145
272
315
458
525
654
740
88
917
1071
1117
1258
1311
1439
1527
1641
1749
99.21% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences58
matches
0"been closed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs97
matches(empty)
10.99% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences3
totalSentences65
ratio0.046
matches
0"The air was damp, heavy with the scent of decay and something else - an acrid tang that pricked her nostrils."
1"A worn leather satchel lay beside her, its contents spilled - books, a notepad, a round pair of glasses."
2"A small, intricate tattoo on Eva's wrist - a symbol she'd seen before."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount414
adjectiveStacks0
stackExamples(empty)
adverbCount9
adverbRatio0.021739130434782608
lyAdverbCount4
lyAdverbRatio0.00966183574879227
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences65
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences65
mean10.85
std6.05
cv0.557
sampleLengths
017
121
212
38
415
517
613
78
818
910
1019
117
1210
132
1413
157
163
1713
1813
197
204
2111
228
2317
244
2529
269
2712
2813
299
3011
317
325
333
3410
357
3614
3713
386
3918
4020
416
426
435
448
455
4610
4711
4810
496
53.85% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.36923076923076925
totalSentences65
uniqueOpeners24
58.48% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences57
matches
0"Just a neat hole in"
ratio0.018
16.49% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences57
matches
0"She glanced at the peeling"
1"Her partner, Detective Sergeant Thompson,"
2"He looked up as she"
3"he acknowledged, rubbing his gloved"
4"Her eyes were open, wide"
5"she murmured, recognition flickering in"
6"She could feel it, like"
7"She walked to the edge"
8"She turned, her eyes scanning"
9"Her gaze snagged on something"
10"She stepped towards it, her"
11"It was a compass, small"
12"She picked it up, turned"
13"She frowned, tucked it into"
14"she said, her voice low"
15"She turned back to the"
16"She crouched down, examined it"
17"It was a sigil, one"
18"Her heart pounded in her"
19"She stood, her eyes scanning"
ratio0.509
3.86% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount52
totalSentences57
matches
0"Detective Harlow Quinn stepped onto"
1"The air was damp, heavy"
2"She glanced at the peeling"
3"Camden's forgotten underbelly, now a"
4"Her partner, Detective Sergeant Thompson,"
5"He looked up as she"
6"he acknowledged, rubbing his gloved"
7"Harlow crouched beside him, her"
8"The victim was a young"
9"Her eyes were open, wide"
10"A worn leather satchel lay"
11"Harlow picked up the glasses,"
12"she murmured, recognition flickering in"
13"Harlow stood, her gaze sweeping"
14"Something was off."
15"She could feel it, like"
16"She walked to the edge"
17"Thompson suggested, following her gaze"
18"Harlow shook her head."
19"She turned, her eyes scanning"
ratio0.912
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences57
matches(empty)
ratio0
83.33% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences24
technicalSentenceCount2
matches
0"The air was damp, heavy with the scent of decay and something else - an acrid tang that pricked her nostrils."
1"The station fell silent, the only sound the distant rumble of the Tube, a reminder of the world above, a world that knew nothing of the darkness lurking beneath…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount5
matches
0"she murmured, recognition flickering in her brown eyes"
1"She turned, her eyes scanning the station again"
2"she said, her voice low"
3"she said, her voice steady despite the adrenaline coursing through her veins"
4"She paused, her gaze flicking back to the rift"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount3
fancyTags
0"he acknowledged (acknowledge)"
1"she murmured (murmur)"
2"Thompson suggested (suggest)"
dialogueSentences16
tagDensity0.438
leniency0.875
rawRatio0.429
effectiveRatio0.375
73.4942%