| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 40 | | tagDensity | 0.525 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 78.34% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1847 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "perfectly" | | 1 | "lightly" | | 2 | "suddenly" | | 3 | "gently" | | 4 | "truly" | | 5 | "slowly" | | 6 | "very" |
| |
| 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) | |
| 56.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1847 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "weight" | | 1 | "measured" | | 2 | "flicked" | | 3 | "flicker" | | 4 | "pulse" | | 5 | "unreadable" | | 6 | "glinting" | | 7 | "traced" | | 8 | "warmth" | | 9 | "silence" | | 10 | "racing" | | 11 | "lilt" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 101 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 101 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 120 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1833 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 1383 | | uniqueNames | 13 | | maxNameDensity | 0.58 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 6 | | Golden | 1 | | Empress | 1 | | Ptolemy | 2 | | Heat | 1 | | Marseille | 1 | | London | 1 | | Aurora | 5 | | Six | 1 | | Earl | 2 | | Grey | 2 | | Lucien | 8 | | Rory | 7 |
| | persons | | 0 | "Eva" | | 1 | "Ptolemy" | | 2 | "Aurora" | | 3 | "Earl" | | 4 | "Grey" | | 5 | "Lucien" | | 6 | "Rory" |
| | places | | 0 | "Golden" | | 1 | "Marseille" | | 2 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 60.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 84 | | glossingSentenceCount | 3 | | matches | | 0 | "as though saying it aloud cost him a moment’s trial" | | 1 | "seemed smaller the steam from the kettle the only sound" | | 2 | "as if testing whether she would stay" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.546 | | wordCount | 1833 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 120 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 52.37 | | std | 33.33 | | cv | 0.636 | | sampleLengths | | 0 | 168 | | 1 | 73 | | 2 | 9 | | 3 | 53 | | 4 | 108 | | 5 | 16 | | 6 | 35 | | 7 | 22 | | 8 | 86 | | 9 | 17 | | 10 | 43 | | 11 | 68 | | 12 | 56 | | 13 | 62 | | 14 | 51 | | 15 | 20 | | 16 | 54 | | 17 | 20 | | 18 | 70 | | 19 | 80 | | 20 | 47 | | 21 | 30 | | 22 | 77 | | 23 | 58 | | 24 | 15 | | 25 | 57 | | 26 | 77 | | 27 | 57 | | 28 | 56 | | 29 | 110 | | 30 | 18 | | 31 | 17 | | 32 | 67 | | 33 | 21 | | 34 | 15 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 101 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 219 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 7 | | flaggedSentences | 18 | | totalSentences | 120 | | ratio | 0.15 | | matches | | 0 | "She had come here earlier that evening because Eva’s keys had found their way into her pocket after a rushed hand-off on the pavement outside the Golden Empress—no explanation offered, just a hurried “I need to vanish for a few hours”—and the three deadbolts had clicked home around her without protest." | | 1 | "Rory’s straight black hair had slipped forward over one shoulder; she tucked it behind her ear with the small crescent scar on her wrist flashing pale against the lamplight." | | 2 | "She glanced at the clock on the wall above the sink—quarter past eleven—and wondered again whether Eva would return at all." | | 3 | "She had kicked her shoes off hours ago; the thin carpet pressed cool against her bare feet." | | 4 | "The knock came again—three measured strikes, purposeful, not impatient." | | 5 | "The tailored charcoal suit sat perfectly on his frame, but the jacket had been unbuttoned at the throat; his shirt collar framed the sharp line of his jaw." | | 6 | "He seemed neither surprised nor relieved to see her—instead, there was simple recognition, a flicker of something older and less polite." | | 7 | "Six months and the memory of that last night still sat between them like a live wire—him at the bar below, her on the stair, the unfinished sentence he’d swallowed the moment the door between them closed with a sound too final for either to retract." | | 8 | "She considered him the way she considered a late delivery order—professional distance first, the rest held in reserve." | | 9 | "One lock he left unbolted; the others he slid home in a chain of soft clicks." | | 10 | "The shirt beneath was crisp cotton, sleeves rolled once at the cuffs; his forearms were lean, the tendons visible when he flexed his fingers." | | 11 | "The contact was brief—skin against skin, a spark that refused to be ignored." | | 12 | "When she didn’t, his fingers brushed the old scar—light, almost apologetic." | | 13 | "She wanted to step into that touch and also to push it away; both impulses lived in the same heartbeat." | | 14 | "She studied his face—the sharp planes, the platinum hair catching gold from the bulb above them, the way the amber eye showed warmth while the black remained a private depth." | | 15 | "His scent—something clean and expensive, warm cedar and faint ozone—wrapped around her." | | 16 | "She felt the moment the decision formed—the small inward nod she gave herself—and then she rose on her toes." | | 17 | "Behind them the tabby cat leaped onto a chair, knocking a scroll to the floor; the soft thud seemed to mark the new chapter neither had written but both had begun." |
| |
| 93.15% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 460 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.04782608695652174 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.008695652173913044 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 120 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 120 | | mean | 15.28 | | std | 9.65 | | cv | 0.632 | | sampleLengths | | 0 | 32 | | 1 | 33 | | 2 | 51 | | 3 | 23 | | 4 | 29 | | 5 | 21 | | 6 | 8 | | 7 | 17 | | 8 | 21 | | 9 | 3 | | 10 | 3 | | 11 | 9 | | 12 | 2 | | 13 | 12 | | 14 | 15 | | 15 | 9 | | 16 | 15 | | 17 | 17 | | 18 | 28 | | 19 | 25 | | 20 | 17 | | 21 | 21 | | 22 | 16 | | 23 | 8 | | 24 | 22 | | 25 | 5 | | 26 | 18 | | 27 | 4 | | 28 | 40 | | 29 | 46 | | 30 | 13 | | 31 | 4 | | 32 | 18 | | 33 | 13 | | 34 | 12 | | 35 | 20 | | 36 | 16 | | 37 | 17 | | 38 | 15 | | 39 | 18 | | 40 | 25 | | 41 | 2 | | 42 | 11 | | 43 | 13 | | 44 | 16 | | 45 | 24 | | 46 | 9 | | 47 | 10 | | 48 | 13 | | 49 | 13 |
| |
| 49.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.325 | | totalSentences | 120 | | uniqueOpeners | 39 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 93 | | matches | (empty) | | ratio | 0 | |
| 69.46% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 93 | | matches | | 0 | "She had come here earlier" | | 1 | "She glanced at the clock" | | 2 | "She had kicked her shoes" | | 3 | "Her gaze flicked to the" | | 4 | "She crossed the room in" | | 5 | "Her hand hovered on the" | | 6 | "He seemed neither surprised nor" | | 7 | "She stayed in the doorway," | | 8 | "His voice carried the faint" | | 9 | "She considered him the way" | | 10 | "He crossed the threshold with" | | 11 | "She moved to the stove" | | 12 | "He shrugged out of the" | | 13 | "She felt it ride up" | | 14 | "He sipped, steam ghosting across" | | 15 | "She folded her arms, leaning" | | 16 | "He set the mug down" | | 17 | "She heard the old hurt" | | 18 | "He reached out slowly, giving" | | 19 | "Her breath caught." |
| | ratio | 0.376 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 93 | | matches | | 0 | "Aurora leaned against the kitchen" | | 1 | "The curry house below still" | | 2 | "She had come here earlier" | | 3 | "Ptolemy the tabby watched from" | | 4 | "Rory’s straight black hair had" | | 5 | "She glanced at the clock" | | 6 | "The flat smelled of turmeric" | | 7 | "She had kicked her shoes" | | 8 | "A sudden, firm knock at" | | 9 | "Eva never knocked." | | 10 | "The knock came again—three measured" | | 11 | "Her gaze flicked to the" | | 12 | "She crossed the room in" | | 13 | "The second and third followed" | | 14 | "Her hand hovered on the" | | 15 | "Lucien stood on the threshold," | | 16 | "The tailored charcoal suit sat" | | 17 | "The ivory-handled cane rested lightly" | | 18 | "He seemed neither surprised nor" | | 19 | "The name left him soft," |
| | ratio | 0.925 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 93 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 2 | | matches | | 0 | "Their lips met in a kiss that started tentative, tasting of Earl Grey and the salt of old apologies, then deepened with the pressure of months of restraint." | | 1 | "His arm came around her waist, careful, the fingers splaying across the small of her back as if testing whether she would stay." |
| |
| 5.95% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 5 | | matches | | 0 | "The name left, as though saying it aloud cost him a moment’s trial" | | 1 | "His voice carried, the music of Marseille threaded through London vowels" | | 2 | "Lucien leaned, its carved handle glinting" | | 3 | "Rory handed, their fingers brushing" | | 4 | "She broke, pulse racing now" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 40 | | tagDensity | 0.175 | | leniency | 0.35 | | rawRatio | 0.143 | | effectiveRatio | 0.05 | |