Run: 2026-02-19-01KHT04HM7FPAH61N5XK9W254D

Run Details

Duration:
30.7s
Cost:
$0.001074

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="4412" name="Aurora Carter" aliases="Rory, Laila, Aurora, Carter, Malphora" pronouns="she/her" species="Human" storyRole="Protagonist"> <eyeColor>bright blue</eyeColor> <hair>straight shoulder-length black</hair> <height>5'6"</height> <age>25</age> <scar>small crescent-shaped scar on her left wrist from a childhood accident</scar> <description>Aurora, referred to by her friends as Rory, is cool-headed, intelligent, and known for quick out-of-the-box thinking.</description> <backstory>Born in Cardiff to an Irish barrister father (Brendan Carter) and Welsh teacher mother (Jennifer Carter née Ellis), Rory reluctantly pursued Pre-Law at Cardiff University. She fled to London at the behest of her childhood friend Eva after leaving an abusive ex named Evan. By day, Rory works part-time as a delivery person for Yu-Fei Cheung's Golden Empress restaurant. She lives in a flat above Silas' bar.</backstory> </character> <character id="4415" name="Lucien Moreau" aliases="Lucien, Luc, the Frenchman" pronouns="he/him" species="Half-Demon" storyRole="Ally"> <eyeColor>heterochromatic — one amber, one black</eyeColor> <hair>slicked-back platinum blond</hair> <height>5'11"</height> <age>32</age> <cane>ivory-handled cane that conceals a thin blade</cane> <dress>tailored charcoal suits</dress> <description>An impeccably dressed fixer and information broker in London's supernatural underworld. He speaks four languages fluently.</description> <backstory>Born in Marseille to a human mother and a demon father from the realm of Avaros.</backstory> </character> <location id="858" name="Eva's Flat" aliases="Eva's place, the flat on Brick Lane" realm="Earth"> <cat>tabby cat named Ptolemy</cat> <security>three deadbolts on the front door</security> <description>A cramped one-bedroom flat above a curry house on Brick Lane, East London. Every surface is covered with books, scrolls, and research notes.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the romance genre. Two people who parted on complicated terms are forced together again when one shows up unannounced at the other's flat. There's history between them — attraction, hurt, and things left unsaid. Write the scene from the moment the door opens. 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
Aurora stood in the cramped kitchen of Eva's flat, the scent of curry wafting through the open window. She stirred a pot of lentils, her mind drifting to the stack of bills on the counter. The tabby cat, Ptolemy, lounged on a pile of books, his tail flicking lazily. A sudden knock shattered the quiet. She wiped her hands on a dish towel, glancing at the door. “Who the hell?” she muttered, her brow furrowing. She approached the door, her heart quickening. The last person she expected to see was Lucien. They hadn’t spoken since that night in the bar, the air thick with unspoken words and unresolved tension. Another knock, more insistent this time. “Rory, open up!” His voice, smooth and commanding, sent a shiver down her spine. She hesitated, her fingers hovering over the doorknob. Memories flooded back—his laughter, the way his eyes sparkled when he spoke, the warmth of his presence. But the hurt lingered, a bitter taste in her mouth. “Rory!” She took a breath, steeling herself. With a swift motion, she swung the door open. Lucien stood there, impeccably dressed in a tailored charcoal suit, his platinum blond hair slicked back. One hand rested on the ivory-handled cane, the other tucked casually in his pocket. His heterochromatic eyes—one amber, one black—searched her face, a mix of surprise and something deeper flickering across his features. “Lucien,” she said, her voice steady despite the whirlwind inside her. “May I come in?” She stepped aside, allowing him to enter. The flat felt smaller with him in it, the air thickening with unspoken words. “Nice place you’ve got here,” he remarked, glancing around at the clutter of books and scrolls. “Thanks,” she replied, crossing her arms. “What do you want?” He turned to face her, his expression shifting from casual to serious. “I need your help.” “Help?” She raised an eyebrow, skepticism creeping in. “You didn’t think to call first?” “I didn’t have time.” “Right. You never do.” Lucien’s gaze hardened. “This isn’t about us, Rory.” “Isn’t it?” She stepped closer, the distance between them charged with tension. “You show up out of nowhere, and you expect me to just drop everything?” He sighed, running a hand through his hair. “I wouldn’t be here if it wasn’t important.” “Important how?” “Someone’s after me.” The words hung in the air, heavy with implications. Aurora’s heart raced. “Who?” “Demons. They think I have something they want.” “Of course they do.” She shook her head, frustration bubbling to the surface. “You always attract trouble.” “Rory, please.” His voice softened, and for a moment, the walls between them cracked. “I wouldn’t ask if I didn’t need you.” She studied him, the way his eyes flickered with vulnerability. Memories of their past rushed back—late-night conversations, shared laughter, the way he made her feel alive. “Why now?” “Because I trust you.” “Trust?” She scoffed, crossing her arms tighter. “You have a funny way of showing it.” “I know I messed up.” “Yeah, you did.” Silence stretched between them, thick and suffocating. Aurora turned away, her gaze landing on the pot simmering on the stove. “Look, I’m not here to rehash the past,” he said, his voice low. “I need to know if you’ll help me.” She faced him again, her heart pounding. “What do you need?” “Information. I need to find out who’s behind this.” “Why me?” “Because you’re the best at digging up dirt.” “Flattery won’t get you anywhere.” “Rory.” His tone shifted, a hint of desperation creeping in. She felt the weight of his gaze, the intensity of his presence. “Fine,” she relented, her resolve wavering. “But this doesn’t mean we’re back to being friends.” “Understood.” He stepped closer, the air crackling with tension. “I’ll take what I can get.” “Just tell me what you know.” He leaned against the counter, his expression serious. “There’s a demon named Vesper. He’s been asking questions about me.” “Vesper?” “Yeah. He’s not someone you want to cross.” “Great.” She rubbed her temples, frustration bubbling up again. “What’s he after?” “Something I found. Something powerful.” “Of course.” “Rory, I wouldn’t have come to you if I had any other choice.” “Right.” She turned away, her heart racing. “What do you want me to do?” “Help me track him down. Find out what he knows.” “Why should I risk my neck for you?” “Because you care.” “Care?” She laughed, the sound bitter. “You don’t get to decide what I feel.” “Maybe not, but I know you.” “Do you?” He stepped closer, his voice dropping to a whisper. “You’re still the smartest person I know. You always were.” Her breath caught in her throat. The way he looked at her, the intensity of his gaze, sent a rush of warmth through her. “Stop it,” she said, her voice barely above a whisper. “Stop what?” “Stop looking at me like that.” “Like what?” “Like you still care.” “I do care.” “Then why did you leave?” “Because I thought it was for the best.” “Best for who?” “Both of us.” “Right.” She turned away, her heart aching. “You always had a way of making decisions for me.” “I didn’t mean to.” “Doesn’t matter now.” “Rory—” “Just tell me what you need.” He hesitated, his expression shifting. “I need you to trust me.” “Trust?” She shook her head, frustration boiling over. “You lost that a long time ago.” “I know.” “Then why should I help you?” “Because I’m asking.” “Fine.” “Thank you.” “Don’t thank me yet.” “Just give me a chance.” “Fine.” “Let’s start with Vesper.” “Right.” The tension hung in the air, thick and palpable. Aurora felt the weight of their history pressing down on her, the unresolved feelings swirling between them. “Let’s get to work,” she said, her voice steady. “Together?” “Don’t push it.” He smiled, a flicker of warmth breaking through the tension. “Let’s just focus on Vesper.” “Agreed.” As they began to strategize, the air crackled with unspoken words, the past lingering like a shadow. Aurora felt the pull between them, a magnetic force that neither could ignore.
total_cost0.001074

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags18
adverbTagCount2
adverbTags
0"She turned away [away]"
1"She turned away [away]"
dialogueSentences96
tagDensity0.188
leniency0.375
rawRatio0.111
effectiveRatio0.042
90.16% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1016
totalAiIsmAdverbs2
found
0
adverb"lazily"
count1
1
adverb"barely above a whisper"
count1
highlights
0"lazily"
1"barely above a whisper"
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)
0.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1016
totalAiIsms33
found
0
word"shattered"
count1
1
word"furrowing"
count1
2
word"unspoken"
count3
3
word"tension"
count5
4
word"down her spine"
count1
5
word"warmth"
count3
6
word"eyebrow"
count1
7
word"charged"
count1
8
word"raced"
count1
9
word"flickered"
count1
10
word"silence"
count1
11
word"simmering"
count1
12
word"pounding"
count1
13
word"weight"
count2
14
word"intensity"
count2
15
word"resolve"
count1
16
word"wavering"
count1
17
word"racing"
count1
18
word"whisper"
count2
19
word"palpable"
count1
20
word"flicker"
count1
21
word"magnetic"
count1
highlights
0"shattered"
1"furrowing"
2"unspoken"
3"tension"
4"down her spine"
5"warmth"
6"eyebrow"
7"charged"
8"raced"
9"flickered"
10"silence"
11"simmering"
12"pounding"
13"weight"
14"intensity"
15"resolve"
16"wavering"
17"racing"
18"whisper"
19"palpable"
20"flicker"
21"magnetic"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches3
maxInWindow2
found
0
label"hung in the air"
count2
1
label"sent a shiver through"
count1
highlights
0"hung in the air"
1"sent a shiver down"
97.68% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells2
narrationSentences61
matches
0"a rush of warmth"
1"a flicker of warmth"
96.02% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences61
filterMatches
0"feel"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences138
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen21
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1010
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions14
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions11
wordCount597
uniqueNames5
maxNameDensity0.84
worstName"Aurora"
maxWindowNameDensity1
worstWindowName"Lucien"
discoveredNames
Eva1
Ptolemy1
Lucien3
Silence1
Aurora5
persons
0"Eva"
1"Ptolemy"
2"Lucien"
3"Silence"
4"Aurora"
places(empty)
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences52
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.99
wordCount1010
matches
0"not, but I know you"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences138
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs101
mean10
std9.6
cv0.96
sampleLengths
049
118
28
334
46
514
635
71
86
99
1049
1111
124
1321
1416
1510
1612
174
1814
194
204
218
2226
2316
242
253
2612
271
288
2917
3022
3126
322
334
3415
355
363
3720
3821
3911
409
412
428
435
441
4521
4615
471
4814
496
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences61
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs113
matches(empty)
80.75% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences3
totalSentences138
ratio0.022
matches
0"Memories flooded back—his laughter, the way his eyes sparkled when he spoke, the warmth of his presence."
1"His heterochromatic eyes—one amber, one black—searched her face, a mix of surprise and something deeper flickering across his features."
2"Memories of their past rushed back—late-night conversations, shared laughter, the way he made her feel alive."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount603
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.026533996683250415
lyAdverbCount4
lyAdverbRatio0.006633499170812604
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences138
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences138
mean7.32
std4.53
cv0.619
sampleLengths
018
117
214
36
412
58
67
79
818
96
1014
118
1217
1310
141
156
169
1716
1814
1919
2011
214
227
2314
2416
256
264
2712
284
298
306
314
324
333
345
3512
3614
378
388
392
403
419
423
431
448
4513
464
4714
488
4910
70.29% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.43478260869565216
totalSentences138
uniqueOpeners60
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences61
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount39
totalSentences61
matches
0"She stirred a pot of"
1"She wiped her hands on"
2"she muttered, her brow furrowing"
3"She approached the door, her"
4"They hadn’t spoken since that"
5"His voice, smooth and commanding,"
6"She hesitated, her fingers hovering"
7"She took a breath, steeling"
8"His heterochromatic eyes—one amber, one"
9"she said, her voice steady"
10"She stepped aside, allowing him"
11"he remarked, glancing around at"
12"she replied, crossing her arms"
13"He turned to face her,"
14"She raised an eyebrow, skepticism"
15"She stepped closer, the distance"
16"He sighed, running a hand"
17"She shook her head, frustration"
18"His voice softened, and for"
19"She studied him, the way"
ratio0.639
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount57
totalSentences61
matches
0"Aurora stood in the cramped"
1"She stirred a pot of"
2"The tabby cat, Ptolemy, lounged"
3"A sudden knock shattered the"
4"She wiped her hands on"
5"she muttered, her brow furrowing"
6"She approached the door, her"
7"The last person she expected"
8"They hadn’t spoken since that"
9"Another knock, more insistent this"
10"His voice, smooth and commanding,"
11"She hesitated, her fingers hovering"
12"Memories flooded back—his laughter, the"
13"She took a breath, steeling"
14"Lucien stood there, impeccably dressed"
15"His heterochromatic eyes—one amber, one"
16"she said, her voice steady"
17"She stepped aside, allowing him"
18"The flat felt smaller with"
19"he remarked, glancing around at"
ratio0.934
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences61
matches(empty)
ratio0
74.83% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences21
technicalSentenceCount2
matches
0"Aurora turned away, her gaze landing on the pot simmering on the stove."
1"Aurora felt the weight of their history pressing down on her, the unresolved feelings swirling between them."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags18
uselessAdditionCount11
matches
0"she muttered, her brow furrowing"
1"she said, her voice steady despite the whirlwind inside her"
2"She raised, skepticism creeping in"
3"She shook, frustration bubbling to the surface"
4"he said, his voice low"
5"she relented, her resolve wavering"
6"She rubbed, frustration bubbling up again"
7"She turned away, her heart racing"
8"she said, her voice barely above a whisper"
9"She turned away, her heart aching"
10"she said, her voice steady"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount2
fancyTags
0"she muttered (mutter)"
1"She laughed (laugh)"
dialogueSentences96
tagDensity0.073
leniency0.146
rawRatio0.286
effectiveRatio0.042
75.8795%