| 78.79% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 25 | | adverbTagCount | 4 | | adverbTags | | 0 | "she said finally [finally]" | | 1 | "she said softly [softly]" | | 2 | "She stepped back [back]" | | 3 | "he said dryly [dryly]" |
| | dialogueSentences | 66 | | tagDensity | 0.379 | | leniency | 0.758 | | rawRatio | 0.16 | | effectiveRatio | 0.121 | |
| 89.71% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 972 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 48.56% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 972 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "encounter" | | 1 | "gleaming" | | 2 | "tension" | | 3 | "clandestine" | | 4 | "charged" | | 5 | "navigate" | | 6 | "flicker" | | 7 | "pulse" | | 8 | "race" | | 9 | "whisper" |
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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 | 0 | | narrationSentences | 70 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 70 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 110 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 5 | | totalWords | 968 | | ratio | 0.005 | | matches | | 0 | "Too complicated. Can't do this." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 570 | | uniqueNames | 6 | | maxNameDensity | 0.7 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 1 | | Rory | 4 | | Evan | 1 | | Lucien | 3 | | Moreau | 1 | | Ptolemy | 4 |
| | persons | | 0 | "Eva" | | 1 | "Rory" | | 2 | "Evan" | | 3 | "Lucien" | | 4 | "Moreau" | | 5 | "Ptolemy" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | 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 | 968 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 110 | | matches | | 0 | "recognise that platinum" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 18.62 | | std | 10.61 | | cv | 0.57 | | sampleLengths | | 0 | 40 | | 1 | 45 | | 2 | 15 | | 3 | 29 | | 4 | 27 | | 5 | 35 | | 6 | 15 | | 7 | 37 | | 8 | 25 | | 9 | 12 | | 10 | 18 | | 11 | 29 | | 12 | 5 | | 13 | 22 | | 14 | 7 | | 15 | 33 | | 16 | 7 | | 17 | 23 | | 18 | 6 | | 19 | 12 | | 20 | 12 | | 21 | 4 | | 22 | 2 | | 23 | 23 | | 24 | 16 | | 25 | 12 | | 26 | 30 | | 27 | 25 | | 28 | 2 | | 29 | 23 | | 30 | 11 | | 31 | 22 | | 32 | 28 | | 33 | 7 | | 34 | 27 | | 35 | 5 | | 36 | 34 | | 37 | 4 | | 38 | 18 | | 39 | 18 | | 40 | 19 | | 41 | 33 | | 42 | 15 | | 43 | 20 | | 44 | 16 | | 45 | 13 | | 46 | 11 | | 47 | 16 | | 48 | 16 | | 49 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 70 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 115 | | matches | | |
| 64.94% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 110 | | ratio | 0.027 | | matches | | 0 | "The bell chimed again - impatient, demanding." | | 1 | "\"You're going to make me conduct business through the door?\" His heterochromatic eyes - one amber, one black - glinted with amusement." | | 2 | "Close quarters made Rory acutely aware of his cologne - bergamot and something darker, smokier." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 570 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.03333333333333333 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.017543859649122806 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 110 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 110 | | mean | 8.8 | | std | 4.97 | | cv | 0.565 | | sampleLengths | | 0 | 3 | | 1 | 9 | | 2 | 4 | | 3 | 17 | | 4 | 7 | | 5 | 9 | | 6 | 14 | | 7 | 3 | | 8 | 19 | | 9 | 11 | | 10 | 4 | | 11 | 13 | | 12 | 9 | | 13 | 7 | | 14 | 22 | | 15 | 5 | | 16 | 2 | | 17 | 20 | | 18 | 2 | | 19 | 9 | | 20 | 2 | | 21 | 15 | | 22 | 7 | | 23 | 13 | | 24 | 15 | | 25 | 2 | | 26 | 13 | | 27 | 12 | | 28 | 7 | | 29 | 5 | | 30 | 13 | | 31 | 5 | | 32 | 19 | | 33 | 10 | | 34 | 5 | | 35 | 11 | | 36 | 11 | | 37 | 2 | | 38 | 5 | | 39 | 15 | | 40 | 18 | | 41 | 4 | | 42 | 3 | | 43 | 14 | | 44 | 9 | | 45 | 6 | | 46 | 10 | | 47 | 2 | | 48 | 9 | | 49 | 3 |
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| 80.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5 | | totalSentences | 110 | | uniqueOpeners | 55 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 62 | | matches | | 0 | "She wasn't expecting anyone." | | 1 | "Her breath hitched." | | 2 | "She'd recognise that platinum blond" | | 3 | "His voice, smooth as aged" | | 4 | "She folded her arms, leaning" | | 5 | "His heterochromatic eyes - one" | | 6 | "Their last encounter had ended" | | 7 | "she said finally, releasing it" | | 8 | "He inclined his head, accepting" | | 9 | "His cane tapped against the" | | 10 | "She gestured to the cramped" | | 11 | "she countered, perching on the" | | 12 | "He leaned casually on his" | | 13 | "He met her gaze head-on" | | 14 | "His lips twitched in a" | | 15 | "He hesitated, something she'd never" | | 16 | "He paused, his voice softening" | | 17 | "She studied him, tapping her" | | 18 | "He spread his hands wide," | | 19 | "His lips curved into a" |
| | ratio | 0.677 | |
| 16.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 62 | | matches | | 0 | "The doorbell rang." | | 1 | "Rory froze, the half-empty dumpling" | | 2 | "She wasn't expecting anyone." | | 3 | "The bell chimed again -" | | 4 | "Her breath hitched." | | 5 | "She'd recognise that platinum blond" | | 6 | "His voice, smooth as aged" | | 7 | "She folded her arms, leaning" | | 8 | "His heterochromatic eyes - one" | | 9 | "Their last encounter had ended" | | 10 | "she said finally, releasing it" | | 11 | "He inclined his head, accepting" | | 12 | "His cane tapped against the" | | 13 | "She gestured to the cramped" | | 14 | "Ptolemy emerged from beneath the" | | 15 | "Lucien surveyed the chaos with" | | 16 | "she countered, perching on the" | | 17 | "He leaned casually on his" | | 18 | "He met her gaze head-on" | | 19 | "His lips twitched in a" |
| | ratio | 0.887 | |
| 80.65% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 62 | | matches | | 0 | "Even Eva called first, knowing" |
| | ratio | 0.016 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 17 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 85.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 25 | | uselessAdditionCount | 2 | | matches | | 0 | "He paused, his voice softening" | | 1 | "He spread, cane dangling from one wrist" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "he repeated (repeat)" |
| | dialogueSentences | 66 | | tagDensity | 0.076 | | leniency | 0.152 | | rawRatio | 0.4 | | effectiveRatio | 0.061 | |