| 62.07% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 2 | | adverbTags | | 0 | "Her voice faltered only [only]" | | 1 | "she said abruptly [abruptly]" |
| | dialogueSentences | 29 | | tagDensity | 0.414 | | leniency | 0.828 | | rawRatio | 0.167 | | effectiveRatio | 0.138 | |
| 54.32% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1204 | | totalAiIsmAdverbs | 11 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | |
| | highlights | | 0 | "lightly" | | 1 | "barely above a whisper" | | 2 | "lazily" | | 3 | "slightly" | | 4 | "truly" | | 5 | "really" | | 6 | "slowly" | | 7 | "softly" |
| |
| 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) | |
| 21.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1204 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "effortless" | | 1 | "flicked" | | 2 | "silence" | | 3 | "whisper" | | 4 | "weight" | | 5 | "unspoken" | | 6 | "intriguing" | | 7 | "silk" | | 8 | "flickered" | | 9 | "echo" | | 10 | "reminder" | | 11 | "firmly" | | 12 | "thundered" | | 13 | "fleeting" | | 14 | "resolve" | | 15 | "intensity" |
| |
| 0.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 5 | | maxInWindow | 5 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
| | 1 | | label | "clenched jaw/fists" | | count | 2 |
| | 2 | | label | "jaw/fists clenched" | | count | 1 |
| | 3 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "knuckles went white" | | 1 | "clenched her fists" | | 2 | "fists clenched" | | 3 | "hung in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 55 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 55 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 72 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1189 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 2 | | wordCount | 807 | | uniqueNames | 2 | | maxNameDensity | 0.12 | | worstName | "Lucien" | | maxWindowNameDensity | 0 | | worstWindowName | (null) | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 96.81% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1189 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 72.54% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 44.04 | | std | 17.79 | | cv | 0.404 | | sampleLengths | | 0 | 82 | | 1 | 51 | | 2 | 59 | | 3 | 46 | | 4 | 42 | | 5 | 54 | | 6 | 15 | | 7 | 45 | | 8 | 49 | | 9 | 27 | | 10 | 43 | | 11 | 50 | | 12 | 72 | | 13 | 64 | | 14 | 29 | | 15 | 60 | | 16 | 22 | | 17 | 77 | | 18 | 29 | | 19 | 53 | | 20 | 53 | | 21 | 18 | | 22 | 31 | | 23 | 30 | | 24 | 18 | | 25 | 38 | | 26 | 32 |
| |
| 98.88% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 55 | | matches | | |
| 30.15% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 157 | | matches | | 0 | "was dreaming" | | 1 | "was weighing" | | 2 | "was coming" | | 3 | "was holding" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 72 | | ratio | 0.097 | | matches | | 0 | "His tailored charcoal suit hugged muscle beneath the fabric, revealing the sharp lines of a man accustomed to getting what he wants—except now, his expression was anything but composed." | | 1 | "He paused, eyeing her in that unsettling way he always did—like he was weighing her, weighing everything she’d been, everything she’d become." | | 2 | "Her cheeks flushed with a mixture of anger and something else—something bittersweet." | | 3 | "The words hung in the air, thick with longing and pain, stirring the ghost of that night—the last night they’d really touched." | | 4 | "His hand, gloved but trembling slightly, reached out, brushing her wrist where the scar lay—a tiny crescent-shaped reminder of childhood accidents and scars she wore like armour." | | 5 | "Long seconds passed in the quiet, heavy air, thick with memories and unanswered questions—as if the universe itself was holding its breath." | | 6 | "He hesitated—fingers tight on the cane—before slowly turning, his suit whispering against the narrow frame as he moved towards the door." |
| |
| 82.50% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 818 | | adjectiveStacks | 1 | | stackExamples | | 0 | "tiny crescent-shaped reminder" |
| | adverbCount | 40 | | adverbRatio | 0.0488997555012225 | | lyAdverbCount | 20 | | lyAdverbRatio | 0.02444987775061125 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 72 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 72 | | mean | 16.51 | | std | 9.44 | | cv | 0.572 | | sampleLengths | | 0 | 32 | | 1 | 21 | | 2 | 29 | | 3 | 3 | | 4 | 16 | | 5 | 32 | | 6 | 23 | | 7 | 16 | | 8 | 20 | | 9 | 3 | | 10 | 22 | | 11 | 16 | | 12 | 5 | | 13 | 22 | | 14 | 8 | | 15 | 12 | | 16 | 11 | | 17 | 14 | | 18 | 10 | | 19 | 19 | | 20 | 10 | | 21 | 5 | | 22 | 10 | | 23 | 20 | | 24 | 15 | | 25 | 12 | | 26 | 18 | | 27 | 19 | | 28 | 16 | | 29 | 11 | | 30 | 11 | | 31 | 22 | | 32 | 10 | | 33 | 21 | | 34 | 10 | | 35 | 7 | | 36 | 12 | | 37 | 21 | | 38 | 51 | | 39 | 6 | | 40 | 41 | | 41 | 17 | | 42 | 5 | | 43 | 24 | | 44 | 22 | | 45 | 24 | | 46 | 14 | | 47 | 14 | | 48 | 8 | | 49 | 27 |
| |
| 67.59% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4305555555555556 | | totalSentences | 72 | | uniqueOpeners | 31 | |
| 61.73% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 54 | | matches | | 0 | "Instead, she pressed her palm" |
| | ratio | 0.019 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 54 | | matches | | 0 | "His platinum blond hair gleamed" | | 1 | "His tailored charcoal suit hugged" | | 2 | "Her eyes flicked from his" | | 3 | "he said, voice smooth and" | | 4 | "Her black hair was a" | | 5 | "she said, voice barely above" | | 6 | "He paused, eyeing her in" | | 7 | "His lips curled into a" | | 8 | "Her flat was small, cluttered" | | 9 | "she said, voice clipped" | | 10 | "He stepped further, the cane" | | 11 | "His gaze lingered, heavy with" | | 12 | "Her cheeks flushed with a" | | 13 | "She clenched her fists tighter," | | 14 | "she snapped, voice trembling slightly" | | 15 | "He halted a mere breath" | | 16 | "His tone was a dark" | | 17 | "Her heart hammered, and she" | | 18 | "she started, but her voice" | | 19 | "His expression softened for a" |
| | ratio | 0.704 | |
| 24.81% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 54 | | matches | | 0 | "The door swung open before" | | 1 | "His platinum blond hair gleamed" | | 2 | "His tailored charcoal suit hugged" | | 3 | "Aurora’s breath hitched." | | 4 | "Her eyes flicked from his" | | 5 | "he said, voice smooth and" | | 6 | "The cane tapped lightly against" | | 7 | "Aurora’s jaw tightened." | | 8 | "Her black hair was a" | | 9 | "she said, voice barely above" | | 10 | "He paused, eyeing her in" | | 11 | "His lips curled into a" | | 12 | "Her flat was small, cluttered" | | 13 | "Nothing about it invited visitors," | | 14 | "Every nerve in her body" | | 15 | "she said, voice clipped" | | 16 | "He stepped further, the cane" | | 17 | "His gaze lingered, heavy with" | | 18 | "Her cheeks flushed with a" | | 19 | "That thing she’d buried deep" |
| | ratio | 0.87 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 61.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 4 | | matches | | 0 | "The door swung open before she could even reach for the latch, revealing Lucien Moreau standing on the threshold, every inch of him turned rigid as if he’d been…" | | 1 | "She clenched her fists tighter, feeling the scar on her wrist twinge as though it knew what was coming." | | 2 | "Long seconds passed in the quiet, heavy air, thick with memories and unanswered questions—as if the universe itself was holding its breath." | | 3 | "He left her standing there, the door shutting softly behind him, a faint echo of his words still ringing in her ears, threatening to undo everything she’d fough…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 6 | | matches | | 0 | "she said, voice clipped" | | 1 | "she snapped, voice trembling slightly" | | 2 | "she started, but her voice broke" | | 3 | "she whispered, voice trembling" | | 4 | "Her voice cracked, but her pride refused to give in" | | 5 | "she said abruptly, voice sharper than intended" |
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| 12.07% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 4 | | fancyTags | | 0 | "she snapped (snap)" | | 1 | "Her voice faltered only (falter)" | | 2 | "she whispered (whisper)" | | 3 | "he murmured (murmur)" |
| | dialogueSentences | 29 | | tagDensity | 0.276 | | leniency | 0.552 | | rawRatio | 0.5 | | effectiveRatio | 0.276 | |