| 21.43% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 28 | | adverbTagCount | 5 | | adverbTags | | 0 | "He turned back [back]" | | 1 | "he said smoothly [smoothly]" | | 2 | "she repeated incredulously [incredulously]" | | 3 | "She gestured vaguely [vaguely]" | | 4 | "he said softly [softly]" |
| | dialogueSentences | 48 | | tagDensity | 0.583 | | leniency | 1 | | rawRatio | 0.179 | | effectiveRatio | 0.179 | |
| 81.40% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1075 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "carefully" | | 1 | "softly" | | 2 | "really" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | 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 | 1075 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "chill" | | 1 | "sentinel" | | 2 | "amidst" | | 3 | "gloom" | | 4 | "etching" | | 5 | "intensity" | | 6 | "scanned" | | 7 | "flicker" | | 8 | "eyebrow" | | 9 | "imposing" | | 10 | "constructed" | | 11 | "silence" | | 12 | "unspoken" | | 13 | "tinged" | | 14 | "echoing" | | 15 | "calculated" | | 16 | "facade" | | 17 | "whisper" | | 18 | "unreadable" | | 19 | "weight" | | 20 | "rhythmic" |
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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 | 97 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 97 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 116 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1073 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 808 | | uniqueNames | 10 | | maxNameDensity | 1.61 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Tuesday | 1 | | Liam | 7 | | Hayes | 1 | | Silas | 4 | | Rory | 13 | | Finance | 1 | | Shakespeare | 1 | | London | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Liam" | | 3 | "Hayes" | | 4 | "Silas" | | 5 | "Rory" | | 6 | "Shakespeare" |
| | places | | | globalScore | 0.696 | | windowScore | 0.667 | |
| 36.36% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like a faded photograph" | | 1 | "quite decipher" | | 2 | "seemed calculated rather than spontaneous" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1073 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 116 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 23.33 | | std | 14.88 | | cv | 0.638 | | sampleLengths | | 0 | 84 | | 1 | 45 | | 2 | 2 | | 3 | 65 | | 4 | 28 | | 5 | 16 | | 6 | 12 | | 7 | 18 | | 8 | 38 | | 9 | 23 | | 10 | 7 | | 11 | 33 | | 12 | 14 | | 13 | 12 | | 14 | 33 | | 15 | 20 | | 16 | 9 | | 17 | 19 | | 18 | 27 | | 19 | 10 | | 20 | 25 | | 21 | 16 | | 22 | 27 | | 23 | 27 | | 24 | 21 | | 25 | 33 | | 26 | 18 | | 27 | 30 | | 28 | 26 | | 29 | 17 | | 30 | 4 | | 31 | 30 | | 32 | 8 | | 33 | 27 | | 34 | 18 | | 35 | 19 | | 36 | 17 | | 37 | 28 | | 38 | 11 | | 39 | 23 | | 40 | 12 | | 41 | 18 | | 42 | 10 | | 43 | 28 | | 44 | 16 | | 45 | 49 |
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| 98.03% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 97 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 150 | | matches | (empty) | |
| 68.97% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 116 | | ratio | 0.026 | | matches | | 0 | "A flicker of something – recognition?" | | 1 | "– crossed his face before settling into a polite, almost impersonal expression." | | 2 | "Rory saw a flicker of something in his eyes – a suppressed sadness, perhaps?" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 810 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.0345679012345679 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.016049382716049384 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 116 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 116 | | mean | 9.25 | | std | 5.58 | | cv | 0.603 | | sampleLengths | | 0 | 19 | | 1 | 13 | | 2 | 3 | | 3 | 17 | | 4 | 21 | | 5 | 11 | | 6 | 16 | | 7 | 19 | | 8 | 6 | | 9 | 4 | | 10 | 2 | | 11 | 3 | | 12 | 3 | | 13 | 1 | | 14 | 4 | | 15 | 8 | | 16 | 14 | | 17 | 10 | | 18 | 7 | | 19 | 1 | | 20 | 14 | | 21 | 9 | | 22 | 6 | | 23 | 1 | | 24 | 12 | | 25 | 16 | | 26 | 12 | | 27 | 7 | | 28 | 11 | | 29 | 6 | | 30 | 19 | | 31 | 10 | | 32 | 3 | | 33 | 3 | | 34 | 17 | | 35 | 3 | | 36 | 7 | | 37 | 10 | | 38 | 13 | | 39 | 10 | | 40 | 14 | | 41 | 4 | | 42 | 8 | | 43 | 30 | | 44 | 3 | | 45 | 5 | | 46 | 9 | | 47 | 6 | | 48 | 9 | | 49 | 6 |
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| 68.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4396551724137931 | | totalSentences | 116 | | uniqueOpeners | 51 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 89 | | matches | | 0 | "Instead, she saw Liam." | | 1 | "Still tall, still broad-shouldered, still" | | 2 | "Just No no Just a" |
| | ratio | 0.034 | |
| 13.26% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 89 | | matches | | 0 | "His grey-streaked auburn hair seemed" | | 1 | "Her breath hitched." | | 2 | "It couldn't be." | | 3 | "He hadn’t changed as much" | | 4 | "His eyes, once the warm" | | 5 | "He scanned the room, his" | | 6 | "He made his way toward" | | 7 | "he asked, his voice a" | | 8 | "She swallowed, setting the pint" | | 9 | "He chuckled, a short, dry" | | 10 | "He signaled to Silas who" | | 11 | "He turned back to Rory," | | 12 | "she managed, feeling absurdly flustered" | | 13 | "He shot Rory a look," | | 14 | "He raised an eyebrow." | | 15 | "he agreed, his voice carefully" | | 16 | "He didn't react to her" | | 17 | "he said smoothly" | | 18 | "she repeated incredulously" | | 19 | "He swirled the whiskey in" |
| | ratio | 0.517 | |
| 16.18% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 79 | | totalSentences | 89 | | matches | | 0 | "Rain lashed against the windows" | | 1 | "Rory wiped condensation from a" | | 2 | "Another slow Tuesday." | | 3 | "Silas nursed a whiskey at" | | 4 | "His grey-streaked auburn hair seemed" | | 5 | "The bell above the door" | | 6 | "A figure shook rain from" | | 7 | "Rory glanced up, expecting a" | | 8 | "Her breath hitched." | | 9 | "It couldn't be." | | 10 | "A decade, maybe more." | | 11 | "He hadn’t changed as much" | | 12 | "His eyes, once the warm" | | 13 | "He scanned the room, his" | | 14 | "A flicker of something –" | | 15 | "He made his way toward" | | 16 | "he asked, his voice a" | | 17 | "She swallowed, setting the pint" | | 18 | "He chuckled, a short, dry" | | 19 | "He signaled to Silas who" |
| | ratio | 0.888 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 89 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 1 | | matches | | 0 | "He shrugged, a gesture that seemed calculated rather than spontaneous." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 28 | | uselessAdditionCount | 11 | | matches | | 0 | "he asked, his voice a low rumble, deeper than she remembered" | | 1 | "He turned back, his eyes assessing" | | 2 | "he agreed, his voice carefully neutral" | | 3 | "he replied, a hint of sardonic humor in his tone" | | 4 | "he said, his voice low" | | 5 | "he asked, his gaze sweeping over her" | | 6 | "He placed, the clink echoing in the sudden quiet" | | 7 | "she countered, unable to resist" | | 8 | "he said, his voice low and final" | | 9 | "he said, not looking at her" | | 10 | "Rory said, her voice barely a whisper" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 19 | | fancyCount | 8 | | fancyTags | | 0 | "Rory blurted out (blurt out)" | | 1 | "he agreed (agree)" | | 2 | "Rory muttered (mutter)" | | 3 | "she repeated incredulously (repeat)" | | 4 | "Rory challenged (challenge)" | | 5 | "he observed (observe)" | | 6 | "he observed (observe)" | | 7 | "she agreed (agree)" |
| | dialogueSentences | 48 | | tagDensity | 0.396 | | leniency | 0.792 | | rawRatio | 0.421 | | effectiveRatio | 0.333 | |