| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "The cane tapped once [once]" |
| | dialogueSentences | 56 | | tagDensity | 0.304 | | leniency | 0.607 | | rawRatio | 0.059 | | effectiveRatio | 0.036 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1174 | | 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) | |
| 48.89% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1174 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "chaotic" | | 1 | "complex" | | 2 | "weight" | | 3 | "flicker" | | 4 | "whisper" | | 5 | "raced" | | 6 | "perfect" | | 7 | "aligned" | | 8 | "charm" | | 9 | "silence" | | 10 | "fleeting" |
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| 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 | 1 | | narrationSentences | 81 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 81 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 117 | | 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 | 1 | | markdownWords | 2 | | totalWords | 1174 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 670 | | uniqueNames | 9 | | maxNameDensity | 0.6 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 2 | | Moreau | 1 | | Eva | 2 | | Brick | 1 | | Lane | 1 | | Marseille | 1 | | Silence | 1 | | Lucien | 4 | | French | 1 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Lucien" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Marseille" |
| | globalScore | 1 | | windowScore | 1 | |
| 94.44% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 1 | | matches | | 0 | "Something like anger, or maybe appreciation" |
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| 29.64% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.704 | | wordCount | 1174 | | matches | | 0 | "not a choice, but a necessity" | | 1 | "Not painful, but firm" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 117 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 24.46 | | std | 15.83 | | cv | 0.647 | | sampleLengths | | 0 | 23 | | 1 | 50 | | 2 | 15 | | 3 | 23 | | 4 | 11 | | 5 | 1 | | 6 | 33 | | 7 | 15 | | 8 | 5 | | 9 | 31 | | 10 | 11 | | 11 | 4 | | 12 | 41 | | 13 | 26 | | 14 | 5 | | 15 | 25 | | 16 | 20 | | 17 | 40 | | 18 | 19 | | 19 | 18 | | 20 | 14 | | 21 | 23 | | 22 | 10 | | 23 | 66 | | 24 | 19 | | 25 | 55 | | 26 | 23 | | 27 | 62 | | 28 | 17 | | 29 | 17 | | 30 | 30 | | 31 | 11 | | 32 | 46 | | 33 | 27 | | 34 | 39 | | 35 | 2 | | 36 | 10 | | 37 | 55 | | 38 | 17 | | 39 | 40 | | 40 | 23 | | 41 | 7 | | 42 | 27 | | 43 | 36 | | 44 | 37 | | 45 | 17 | | 46 | 6 | | 47 | 22 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 83.04% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 114 | | matches | | 0 | "was already analysing" | | 1 | "was kicking" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 117 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 675 | | adjectiveStacks | 1 | | stackExamples | | 0 | "cramped, book-choked room." |
| | adverbCount | 24 | | adverbRatio | 0.035555555555555556 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.007407407407407408 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 117 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 117 | | mean | 10.03 | | std | 7.25 | | cv | 0.723 | | sampleLengths | | 0 | 12 | | 1 | 11 | | 2 | 29 | | 3 | 15 | | 4 | 6 | | 5 | 15 | | 6 | 3 | | 7 | 18 | | 8 | 2 | | 9 | 9 | | 10 | 2 | | 11 | 1 | | 12 | 13 | | 13 | 19 | | 14 | 1 | | 15 | 8 | | 16 | 2 | | 17 | 2 | | 18 | 3 | | 19 | 5 | | 20 | 8 | | 21 | 5 | | 22 | 3 | | 23 | 15 | | 24 | 4 | | 25 | 7 | | 26 | 4 | | 27 | 17 | | 28 | 16 | | 29 | 8 | | 30 | 17 | | 31 | 5 | | 32 | 4 | | 33 | 5 | | 34 | 4 | | 35 | 12 | | 36 | 9 | | 37 | 11 | | 38 | 3 | | 39 | 6 | | 40 | 10 | | 41 | 5 | | 42 | 5 | | 43 | 20 | | 44 | 9 | | 45 | 10 | | 46 | 6 | | 47 | 6 | | 48 | 6 | | 49 | 8 |
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| 64.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4188034188034188 | | totalSentences | 117 | | uniqueOpeners | 49 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 42.86% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 70 | | matches | | 0 | "She hadn't expected anyone at" | | 1 | "He leaned on his ivory-handled" | | 2 | "His voice was a low" | | 3 | "She didn't move." | | 4 | "He didn't smile" | | 5 | "He stepped inside anyway, the" | | 6 | "He took up the oxygen." | | 7 | "She remembered that." | | 8 | "She crossed her arms over" | | 9 | "He moved to Eva's cluttered" | | 10 | "He didn't look at her." | | 11 | "Her voice stayed cool, level" | | 12 | "She'd practiced that." | | 13 | "He turned fully then, leaning" | | 14 | "She knew the blade inside." | | 15 | "She let the word sour" | | 16 | "She pushed off the door." | | 17 | "He took a step closer" | | 18 | "Her mind raced, the cool-headed" | | 19 | "He was close enough now" |
| | ratio | 0.443 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 70 | | matches | | 0 | "The third deadbolt gave a" | | 1 | "She hadn't expected anyone at" | | 2 | "Lucien Moreau filled the doorway" | | 3 | "The amber eye caught the" | | 4 | "He leaned on his ivory-handled" | | 5 | "His voice was a low" | | 6 | "She didn't move." | | 7 | "The smell of old paper" | | 8 | "He didn't smile" | | 9 | "He stepped inside anyway, the" | | 10 | "Ptolemy the tabby, previously draped" | | 11 | "Rory shut the door, her" | | 12 | "The flat felt smaller with" | | 13 | "He took up the oxygen." | | 14 | "She remembered that." | | 15 | "The words hung there, simple" | | 16 | "She crossed her arms over" | | 17 | "The small crescent scar on" | | 18 | "He moved to Eva's cluttered" | | 19 | "He didn't look at her." |
| | ratio | 0.929 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 2 | | matches | | 0 | "How a room seemed to contract around his presence, leaving everyone else gasping for space." | | 1 | "She turned away, her hand going to her scarred wrist, rubbing the old ridge of skin." |
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| 7.35% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 4 | | matches | | 0 | "he said, the words dropping like stones," | | 1 | "His voice dropped, the French accent softening the edges of the words" | | 2 | "he said, his gaze dropping to her mouth for a fleeting second," | | 3 | "he said, his voice a blade of quiet steel," |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 56 | | tagDensity | 0.089 | | leniency | 0.179 | | rawRatio | 0 | | effectiveRatio | 0 | |