| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 977 | | totalAiIsmAdverbs | 0 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 977 | | totalAiIsms | 20 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | word | "down her spine" | | count | 1 |
| | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | |
| | highlights | | 0 | "lurched" | | 1 | "silk" | | 2 | "tension" | | 3 | "unspoken" | | 4 | "pulse" | | 5 | "intensity" | | 6 | "down her spine" | | 7 | "yearning" | | 8 | "magnetic" | | 9 | "resolve" | | 10 | "whisper" | | 11 | "raced" | | 12 | "fleeting" | | 13 | "silence" | | 14 | "charged" | | 15 | "looming" | | 16 | "resolved" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "shiver down spine" | | count | 1 |
| | 1 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | 0 | "A shiver ran down her spine" | | 1 | "eyes narrowed" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 64 | | matches | (empty) | |
| 98.21% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 64 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 960 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 735 | | uniqueNames | 6 | | maxNameDensity | 0.95 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Aurora | 6 | | Eva | 2 | | Evan | 2 | | Lucien | 7 | | Heart | 1 | | Ptolemy | 2 |
| | persons | | 0 | "Aurora" | | 1 | "Eva" | | 2 | "Evan" | | 3 | "Lucien" | | 4 | "Heart" | | 5 | "Ptolemy" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 65.25% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 2 | | matches | | 0 | "quite decipher" | | 1 | "as if sensing the tempest brewing" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 960 | | matches | (empty) | |
| 81.20% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 78 | | matches | | 0 | "left that chapter" | | 1 | "admit that it" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 24.62 | | std | 13.97 | | cv | 0.568 | | sampleLengths | | 0 | 54 | | 1 | 13 | | 2 | 45 | | 3 | 13 | | 4 | 17 | | 5 | 31 | | 6 | 18 | | 7 | 43 | | 8 | 12 | | 9 | 17 | | 10 | 12 | | 11 | 18 | | 12 | 12 | | 13 | 21 | | 14 | 8 | | 15 | 24 | | 16 | 27 | | 17 | 12 | | 18 | 45 | | 19 | 27 | | 20 | 38 | | 21 | 9 | | 22 | 32 | | 23 | 7 | | 24 | 22 | | 25 | 31 | | 26 | 17 | | 27 | 24 | | 28 | 35 | | 29 | 16 | | 30 | 15 | | 31 | 46 | | 32 | 14 | | 33 | 38 | | 34 | 4 | | 35 | 48 | | 36 | 11 | | 37 | 57 | | 38 | 27 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 64 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 145 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 78 | | ratio | 0.103 | | matches | | 0 | "Those misaligned eyes—one amber, one black—held a smirk, the kind that had once infuriated and fascinated her in equal measures." | | 1 | "Scrolls and tomes were the trenches; the few potted plants, innocent bystanders." | | 2 | "She'd left that chapter of her life behind—or so she thought." | | 3 | "Memories of Evan—the torment, the manipulation—flashed like lightning behind her eyes." | | 4 | "A shiver ran down her spine, a mixture of fear and something else—something that felt too much like yearning." | | 5 | "His cologne—something dark and heady—filled her nostrils, awakening a cascade of memories better left buried." | | 6 | "His nearness disarmed her, and she cursed the rogue flutter of emotions—anger, attraction, hurt—all circling like vultures over carrion." | | 7 | "Misguided but inescapable, their paths once again intertwined, and the future—dark and daunting—awaited them." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 750 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.029333333333333333 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.004 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 12.31 | | std | 5.36 | | cv | 0.436 | | sampleLengths | | 0 | 22 | | 1 | 19 | | 2 | 13 | | 3 | 13 | | 4 | 25 | | 5 | 20 | | 6 | 8 | | 7 | 5 | | 8 | 17 | | 9 | 23 | | 10 | 8 | | 11 | 13 | | 12 | 5 | | 13 | 6 | | 14 | 12 | | 15 | 14 | | 16 | 11 | | 17 | 12 | | 18 | 9 | | 19 | 8 | | 20 | 8 | | 21 | 4 | | 22 | 5 | | 23 | 13 | | 24 | 3 | | 25 | 9 | | 26 | 10 | | 27 | 11 | | 28 | 8 | | 29 | 10 | | 30 | 14 | | 31 | 6 | | 32 | 11 | | 33 | 10 | | 34 | 12 | | 35 | 27 | | 36 | 18 | | 37 | 19 | | 38 | 8 | | 39 | 6 | | 40 | 15 | | 41 | 17 | | 42 | 9 | | 43 | 7 | | 44 | 25 | | 45 | 7 | | 46 | 7 | | 47 | 15 | | 48 | 3 | | 49 | 15 |
| |
| 94.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5769230769230769 | | totalSentences | 78 | | uniqueOpeners | 45 | |
| 52.08% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 64 | | matches | | 0 | "Somewhere in the mess of" |
| | ratio | 0.016 | |
| 45.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 64 | | matches | | 0 | "He stood framed in the" | | 1 | "he greeted, his voice smooth" | | 2 | "Her tone was snappish, a" | | 3 | "He stepped inside without invitation," | | 4 | "she retorted, trying to ignore" | | 5 | "He tapped a small pile" | | 6 | "She folded her arms across" | | 7 | "His gaze sharpened, cat-like in" | | 8 | "He smirked, unperturbed." | | 9 | "She'd left that chapter of" | | 10 | "she demanded, her voice trembling" | | 11 | "He paused, the smirk finally" | | 12 | "He still had that magnetic" | | 13 | "Their proximity gnawed at her" | | 14 | "His cologne—something dark and heady—filled" | | 15 | "Her mind screamed for distance," | | 16 | "she said at last, voice" | | 17 | "His gaze bore into hers" | | 18 | "Her mind raced." | | 19 | "Her voice was strung tight" |
| | ratio | 0.438 | |
| 22.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 64 | | matches | | 0 | "The crash of books and" | | 1 | "Ptolemy, the tabby cat, hissed," | | 2 | "Aurora’s heart lurched as she" | | 3 | "The word slipped from her" | | 4 | "He stood framed in the" | | 5 | "Those misaligned eyes—one amber, one" | | 6 | "he greeted, his voice smooth" | | 7 | "Her tone was snappish, a" | | 8 | "He stepped inside without invitation," | | 9 | "The air seemed to thrum" | | 10 | "she retorted, trying to ignore" | | 11 | "Eva's cluttered space became a" | | 12 | "Scrolls and tomes were the" | | 13 | "Lucien moved with the deliberate" | | 14 | "He tapped a small pile" | | 15 | "She folded her arms across" | | 16 | "His gaze sharpened, cat-like in" | | 17 | "A bitter laugh escaped her." | | 18 | "He smirked, unperturbed." | | 19 | "The name felled her, stole" |
| | ratio | 0.875 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 81.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 3 | | matches | | 0 | "Those misaligned eyes—one amber, one black—held a smirk, the kind that had once infuriated and fascinated her in equal measures." | | 1 | "A shiver ran down her spine, a mixture of fear and something else—something that felt too much like yearning." | | 2 | "Somewhere in the mess of summed tomes and forgotten scribbles, Ptolemy let out a low growl, as if sensing the tempest brewing." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 6 | | matches | | 0 | "he greeted, his voice smooth as silk" | | 1 | "she retorted, trying to ignore the quickening of her pulse" | | 2 | "she demanded, her voice trembling despite herself" | | 3 | "He paused, the smirk finally fading, replaced by a rare, earnest expression" | | 4 | "she said, voice faltering" | | 5 | "she said, voice firmer than she felt" |
| |
| 83.33% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "she retorted (retort)" | | 1 | "she demanded (demand)" |
| | dialogueSentences | 30 | | tagDensity | 0.133 | | leniency | 0.267 | | rawRatio | 0.5 | | effectiveRatio | 0.133 | |