| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said finally [finally]" |
| | dialogueSentences | 63 | | tagDensity | 0.349 | | leniency | 0.698 | | rawRatio | 0.045 | | effectiveRatio | 0.032 | |
| 90.31% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1548 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "perfectly" | | 1 | "softly" | | 2 | "really" |
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| 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) | |
| 35.40% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1548 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "chaotic" | | 1 | "warmth" | | 2 | "familiar" | | 3 | "treacherous" | | 4 | "stomach" | | 5 | "silence" | | 6 | "electric" | | 7 | "intensity" | | 8 | "amidst" | | 9 | "could feel" | | 10 | "tension" | | 11 | "desire" | | 12 | "pristine" | | 13 | "blown wide" | | 14 | "flicked" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 115 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 115 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 156 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 3 | | totalWords | 1537 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 989 | | uniqueNames | 7 | | maxNameDensity | 0.4 | | worstName | "Eva" | | maxWindowNameDensity | 1 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 4 | | London | 1 | | French | 1 | | Brick | 1 | | Lane | 1 | | Rory | 3 | | Lucien | 4 |
| | persons | | | places | | 0 | "London" | | 1 | "French" | | 2 | "Brick" | | 3 | "Lane" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 79 | | glossingSentenceCount | 1 | | matches | | 0 | "as if commenting on the weather" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.651 | | wordCount | 1537 | | matches | | 0 | "Not particularly skilled, but persistent" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 156 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 72 | | mean | 21.35 | | std | 18.93 | | cv | 0.887 | | sampleLengths | | 0 | 83 | | 1 | 5 | | 2 | 51 | | 3 | 12 | | 4 | 14 | | 5 | 49 | | 6 | 18 | | 7 | 39 | | 8 | 14 | | 9 | 47 | | 10 | 28 | | 11 | 7 | | 12 | 16 | | 13 | 60 | | 14 | 23 | | 15 | 11 | | 16 | 38 | | 17 | 8 | | 18 | 35 | | 19 | 30 | | 20 | 12 | | 21 | 1 | | 22 | 51 | | 23 | 4 | | 24 | 49 | | 25 | 22 | | 26 | 16 | | 27 | 4 | | 28 | 32 | | 29 | 12 | | 30 | 14 | | 31 | 27 | | 32 | 7 | | 33 | 43 | | 34 | 16 | | 35 | 4 | | 36 | 6 | | 37 | 36 | | 38 | 41 | | 39 | 6 | | 40 | 17 | | 41 | 35 | | 42 | 4 | | 43 | 1 | | 44 | 5 | | 45 | 14 | | 46 | 36 | | 47 | 6 | | 48 | 2 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 115 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 171 | | matches | | |
| 51.28% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 156 | | ratio | 0.032 | | matches | | 0 | "A hundred different emotions surged—anger, a sharp prick of betrayal, and beneath it all, a treacherous, unwelcome warmth." | | 1 | "The light caught the heterochromatic eyes—one amber, one a bottomless black." | | 2 | "The flat was its usual mess—scrolls unfurled on the coffee table, stacks of leather-bound books teetering on the armchair." | | 3 | "Close enough to smell the faint scent of his cologne—sandalwood and ozone." | | 4 | "The taste of him—dark coffee and something faintly metallic, demonic—was achingly familiar." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 999 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.03003003003003003 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.01001001001001001 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 156 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 156 | | mean | 9.85 | | std | 7.04 | | cv | 0.714 | | sampleLengths | | 0 | 19 | | 1 | 15 | | 2 | 15 | | 3 | 14 | | 4 | 20 | | 5 | 5 | | 6 | 18 | | 7 | 16 | | 8 | 17 | | 9 | 2 | | 10 | 10 | | 11 | 4 | | 12 | 7 | | 13 | 3 | | 14 | 6 | | 15 | 8 | | 16 | 7 | | 17 | 10 | | 18 | 18 | | 19 | 12 | | 20 | 6 | | 21 | 26 | | 22 | 11 | | 23 | 2 | | 24 | 5 | | 25 | 9 | | 26 | 16 | | 27 | 31 | | 28 | 7 | | 29 | 5 | | 30 | 11 | | 31 | 5 | | 32 | 4 | | 33 | 3 | | 34 | 7 | | 35 | 9 | | 36 | 10 | | 37 | 6 | | 38 | 19 | | 39 | 13 | | 40 | 12 | | 41 | 10 | | 42 | 13 | | 43 | 11 | | 44 | 4 | | 45 | 34 | | 46 | 3 | | 47 | 5 | | 48 | 10 | | 49 | 5 |
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| 41.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.30128205128205127 | | totalSentences | 156 | | uniqueOpeners | 47 | |
| 61.73% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 108 | | matches | | 0 | "All that remained was the" | | 1 | "Instead, she walked to the" |
| | ratio | 0.019 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 64 | | totalSentences | 108 | | matches | | 0 | "She nudged the door closed" | | 1 | "He wore a charcoal suit," | | 2 | "Her breath caught somewhere between" | | 3 | "His voice was a low," | | 4 | "It hadn’t changed." | | 5 | "Her heart slammed against her" | | 6 | "She hadn’t seen him in" | | 7 | "Her words came out tight," | | 8 | "She didn’t move from the" | | 9 | "He pushed off the doorframe" | | 10 | "She forced a brittle laugh." | | 11 | "He said it casually, as" | | 12 | "She’d felt eyes on her." | | 13 | "She finally stepped inside, dropping" | | 14 | "She needed space from his" | | 15 | "She moved past him into" | | 16 | "she said, not looking at" | | 17 | "She began gathering Eva’s scattered" | | 18 | "She turned on him." | | 19 | "He didn’t flinch." |
| | ratio | 0.593 | |
| 10.93% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 97 | | totalSentences | 108 | | matches | | 0 | "The third deadbolt clicked back" | | 1 | "Rory stood on the threshold" | | 2 | "Moonlight slanted through the small" | | 3 | "The curry-scented warmth from downstairs" | | 4 | "She nudged the door closed" | | 5 | "That’s when she saw him." | | 6 | "The platinum hair was unmistakable," | | 7 | "He wore a charcoal suit," | | 8 | "Her breath caught somewhere between" | | 9 | "His voice was a low," | | 10 | "It hadn’t changed." | | 11 | "Her heart slammed against her" | | 12 | "She hadn’t seen him in" | | 13 | "A hundred different emotions surged—anger," | | 14 | "Her words came out tight," | | 15 | "She didn’t move from the" | | 16 | "He pushed off the doorframe" | | 17 | "The light caught the heterochromatic" | | 18 | "She forced a brittle laugh." | | 19 | "He said it casually, as" |
| | ratio | 0.898 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 108 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 1 | | matches | | 0 | "The third deadbolt clicked back with a metallic scrape that sounded unnaturally loud in the stillness of the hallway." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 7 | | matches | | 0 | "Her words came out, controlled" | | 1 | "He pushed, the tip of his cane whispering against the rug" | | 2 | "He said, as if commenting on the weather" | | 3 | "she said, not looking at him" | | 4 | "he said finally, his voice low" | | 5 | "She leaned, her eyes closing for a second" | | 6 | "Rory said, her voice unsteady" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 3 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "she whispered (whisper)" | | 2 | "he murmured (murmur)" |
| | dialogueSentences | 63 | | tagDensity | 0.19 | | leniency | 0.381 | | rawRatio | 0.25 | | effectiveRatio | 0.095 | |