| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 2 | | adverbTags | | 0 | "she corrected automatically [automatically]" | | 1 | "she said quietly [quietly]" |
| | dialogueSentences | 54 | | tagDensity | 0.259 | | leniency | 0.519 | | rawRatio | 0.143 | | effectiveRatio | 0.074 | |
| 75.05% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1002 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "lazily" | | 1 | "softly" | | 2 | "slightly" | | 3 | "really" | | 4 | "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) | |
| 25.15% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1002 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "stomach" | | 1 | "tension" | | 2 | "warmth" | | 3 | "unspoken" | | 4 | "whisper" | | 5 | "pounding" | | 6 | "shattered" | | 7 | "electric" | | 8 | "pulse" | | 9 | "quickened" | | 10 | "familiar" | | 11 | "eyebrow" |
| |
| 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 | 73 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 73 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 113 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 994 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 55.52% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 688 | | uniqueNames | 5 | | maxNameDensity | 1.89 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 9 | | Rory | 13 | | Moreau | 1 | | Lucien | 7 | | London | 1 |
| | persons | | 0 | "Eva" | | 1 | "Rory" | | 2 | "Moreau" | | 3 | "Lucien" |
| | places | | | globalScore | 0.555 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 994 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 113 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 65 | | mean | 15.29 | | std | 13.18 | | cv | 0.862 | | sampleLengths | | 0 | 37 | | 1 | 15 | | 2 | 12 | | 3 | 24 | | 4 | 49 | | 5 | 7 | | 6 | 5 | | 7 | 20 | | 8 | 12 | | 9 | 12 | | 10 | 5 | | 11 | 50 | | 12 | 3 | | 13 | 5 | | 14 | 21 | | 15 | 3 | | 16 | 5 | | 17 | 15 | | 18 | 10 | | 19 | 5 | | 20 | 17 | | 21 | 6 | | 22 | 14 | | 23 | 8 | | 24 | 2 | | 25 | 42 | | 26 | 6 | | 27 | 16 | | 28 | 33 | | 29 | 7 | | 30 | 2 | | 31 | 4 | | 32 | 6 | | 33 | 13 | | 34 | 37 | | 35 | 15 | | 36 | 4 | | 37 | 11 | | 38 | 4 | | 39 | 2 | | 40 | 3 | | 41 | 41 | | 42 | 39 | | 43 | 1 | | 44 | 17 | | 45 | 24 | | 46 | 5 | | 47 | 21 | | 48 | 29 | | 49 | 12 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 73 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 142 | | matches | (empty) | |
| 41.72% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 113 | | ratio | 0.035 | | matches | | 0 | "His heterochromatic eyes—one amber, one black—seemed to stare directly through the door, piercing her even though he couldn’t see her." | | 1 | "The memory flashed unbidden—Lucien’s hand reaching for hers, the warmth of his touch, the sharp sting of betrayal that followed." | | 2 | "But the ache in his voice, the raw honesty in his eyes—it shattered her defenses." | | 3 | "But one thing was certain—her life had just gotten a lot more complicated." |
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| 85.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 696 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 35 | | adverbRatio | 0.05028735632183908 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.015804597701149427 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 113 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 113 | | mean | 8.8 | | std | 5.46 | | cv | 0.621 | | sampleLengths | | 0 | 16 | | 1 | 11 | | 2 | 10 | | 3 | 15 | | 4 | 11 | | 5 | 1 | | 6 | 7 | | 7 | 3 | | 8 | 11 | | 9 | 3 | | 10 | 29 | | 11 | 20 | | 12 | 7 | | 13 | 5 | | 14 | 3 | | 15 | 12 | | 16 | 5 | | 17 | 7 | | 18 | 5 | | 19 | 12 | | 20 | 5 | | 21 | 5 | | 22 | 13 | | 23 | 7 | | 24 | 11 | | 25 | 14 | | 26 | 3 | | 27 | 5 | | 28 | 10 | | 29 | 11 | | 30 | 3 | | 31 | 5 | | 32 | 8 | | 33 | 7 | | 34 | 10 | | 35 | 5 | | 36 | 8 | | 37 | 9 | | 38 | 6 | | 39 | 6 | | 40 | 8 | | 41 | 3 | | 42 | 5 | | 43 | 2 | | 44 | 14 | | 45 | 20 | | 46 | 8 | | 47 | 6 | | 48 | 13 | | 49 | 3 |
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| 61.06% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.37168141592920356 | | totalSentences | 113 | | uniqueOpeners | 42 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 14.12% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 68 | | matches | | 0 | "She padded to the door," | | 1 | "Her breath caught." | | 2 | "His heterochromatic eyes—one amber, one" | | 3 | "She unlocked the door and" | | 4 | "she corrected automatically, though her" | | 5 | "She glanced over her shoulder." | | 6 | "He looked around, taking in" | | 7 | "He turned to her, his" | | 8 | "His smile deepened" | | 9 | "He sighed, leaning on his" | | 10 | "She looked away, her gaze" | | 11 | "She pushed it aside, refocusing" | | 12 | "He hesitated, his mask of" | | 13 | "She glanced back at Eva," | | 14 | "she said quietly" | | 15 | "He ran a hand through" | | 16 | "She studied his face, searching" | | 17 | "His eyes, always so guarded," | | 18 | "She didn’t answer." | | 19 | "Her breath caught, her heart" |
| | ratio | 0.515 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 68 | | matches | | 0 | "The knock came three times," | | 1 | "Rory froze mid-sip of tea," | | 2 | "Ptolemy, curled on the armchair," | | 3 | "Eva asked, not looking up" | | 4 | "Rory set the mug down," | | 5 | "The knock came again, louder" | | 6 | "Rory’s stomach twisted." | | 7 | "She padded to the door," | | 8 | "Her breath caught." | | 9 | "Lucien Moreau stood on the" | | 10 | "His heterochromatic eyes—one amber, one" | | 11 | "Rory hesitated, her fingers brushing" | | 12 | "Rory didn’t answer." | | 13 | "She unlocked the door and" | | 14 | "Lucien’s lips quirked in a" | | 15 | "she corrected automatically, though her" | | 16 | "She glanced over her shoulder." | | 17 | "Eva was engrossed in her" | | 18 | "Rory stepped back, opening the" | | 19 | "Lucien stepped inside, his cane" |
| | ratio | 0.971 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 50.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 4 | | matches | | 0 | "The memory flashed unbidden—Lucien’s hand reaching for hers, the warmth of his touch, the sharp sting of betrayal that followed." | | 1 | "She glanced back at Eva, who was still absorbed in her reading, oblivious to the tension crackling in the room." | | 2 | "She didn’t respond, watching as he walked away, the sound of his cane fading into the distance." | | 3 | "She crouched down, scratching behind his ears, her thoughts swirling." |
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| 17.86% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 3 | | matches | | 0 | "she corrected automatically, though her voice lacked its usual bite" | | 1 | "she said, her voice barely above a whisper" | | 2 | "he agreed, though his eyes told a different story" |
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| 75.93% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 4 | | fancyTags | | 0 | "she corrected automatically (correct)" | | 1 | "he murmured (murmur)" | | 2 | "she admitted (admit)" | | 3 | "he agreed (agree)" |
| | dialogueSentences | 54 | | tagDensity | 0.204 | | leniency | 0.407 | | rawRatio | 0.364 | | effectiveRatio | 0.148 | |