| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "Her voice sounded too [too]" |
| | dialogueSentences | 19 | | tagDensity | 0.579 | | leniency | 1 | | rawRatio | 0.091 | | effectiveRatio | 0.091 | |
| 78.43% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 927 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "deliberately" | | count | 1 |
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| | highlights | | 0 | "precisely" | | 1 | "slightly" | | 2 | "slowly" | | 3 | "deliberately" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 927 | | totalAiIsms | 24 | | found | | | highlights | | 0 | "porcelain" | | 1 | "chill" | | 2 | "weight" | | 3 | "familiar" | | 4 | "looming" | | 5 | "oppressive" | | 6 | "silence" | | 7 | "scanning" | | 8 | "warmth" | | 9 | "fragmented" | | 10 | "tracing" | | 11 | "flickered" | | 12 | "pulse" | | 13 | "whisper" | | 14 | "could feel" | | 15 | "echoed" | | 16 | "resonated" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 128 | | matches | (empty) | |
| 87.05% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 5 | | narrationSentences | 128 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "began to" | | 2 | "seem to" | | 3 | "managed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 136 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 21 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 7 | | totalWords | 925 | | ratio | 0.008 | | matches | | 0 | "Something solid, Rory. A fallback." | | 1 | "something" | | 2 | "other" |
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| 93.75% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 1 | | matches | | 0 | "Damn London nerves, she told herself." |
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| 79.41% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 850 | | uniqueNames | 12 | | maxNameDensity | 1.41 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 12 | | Grey | 1 | | Didn | 1 | | Park | 1 | | May | 1 | | Eva | 1 | | Fae | 1 | | Grove | 3 | | Heartstone | 3 | | Silence | 2 | | London | 1 | | Hel | 1 |
| | persons | | 0 | "Rory" | | 1 | "Grey" | | 2 | "May" | | 3 | "Eva" | | 4 | "Silence" |
| | places | | 0 | "Park" | | 1 | "Fae" | | 2 | "Grove" | | 3 | "London" |
| | globalScore | 0.794 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a distant, ill-fitting costum" |
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| 91.89% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.081 | | wordCount | 925 | | matches | | 0 | "Not with curiosity, but with hungry attention" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 136 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 22.56 | | std | 15.51 | | cv | 0.687 | | sampleLengths | | 0 | 47 | | 1 | 44 | | 2 | 61 | | 3 | 55 | | 4 | 11 | | 5 | 25 | | 6 | 56 | | 7 | 39 | | 8 | 12 | | 9 | 26 | | 10 | 45 | | 11 | 8 | | 12 | 4 | | 13 | 10 | | 14 | 30 | | 15 | 2 | | 16 | 31 | | 17 | 10 | | 18 | 10 | | 19 | 26 | | 20 | 27 | | 21 | 34 | | 22 | 5 | | 23 | 29 | | 24 | 19 | | 25 | 10 | | 26 | 29 | | 27 | 3 | | 28 | 22 | | 29 | 32 | | 30 | 2 | | 31 | 21 | | 32 | 17 | | 33 | 4 | | 34 | 12 | | 35 | 19 | | 36 | 10 | | 37 | 29 | | 38 | 8 | | 39 | 20 | | 40 | 21 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 128 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 147 | | matches | | 0 | "were looming" | | 1 | "was looking was opening" | | 2 | "were growing" | | 3 | "were moving" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 136 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 44 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 0 | | adverbRatio | 0 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 136 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 136 | | mean | 6.8 | | std | 4.45 | | cv | 0.654 | | sampleLengths | | 0 | 9 | | 1 | 4 | | 2 | 19 | | 3 | 2 | | 4 | 13 | | 5 | 15 | | 6 | 3 | | 7 | 10 | | 8 | 3 | | 9 | 7 | | 10 | 6 | | 11 | 3 | | 12 | 5 | | 13 | 11 | | 14 | 9 | | 15 | 2 | | 16 | 15 | | 17 | 14 | | 18 | 2 | | 19 | 8 | | 20 | 3 | | 21 | 14 | | 22 | 20 | | 23 | 10 | | 24 | 11 | | 25 | 2 | | 26 | 1 | | 27 | 5 | | 28 | 6 | | 29 | 2 | | 30 | 5 | | 31 | 2 | | 32 | 2 | | 33 | 6 | | 34 | 7 | | 35 | 6 | | 36 | 3 | | 37 | 9 | | 38 | 14 | | 39 | 3 | | 40 | 8 | | 41 | 13 | | 42 | 10 | | 43 | 16 | | 44 | 5 | | 45 | 7 | | 46 | 13 | | 47 | 13 | | 48 | 14 | | 49 | 5 |
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| 74.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.47058823529411764 | | totalSentences | 136 | | uniqueOpeners | 64 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 104 | | matches | | 0 | "Usually, a subtle thrum against" | | 1 | "Too many late nights, too" | | 2 | "Just on the edge of" | | 3 | "Only the trees, the stones," |
| | ratio | 0.038 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 104 | | matches | | 0 | "She’d brewed it back above" | | 1 | "She adjusted the strap of" | | 2 | "Her voice sounded too loud," | | 3 | "She paused, scanning the perimeter." | | 4 | "She’d come because of the" | | 5 | "She was looking for patterns," | | 6 | "she muttered, but her hand" | | 7 | "She took a sip, the" | | 8 | "She started tracing a line" | | 9 | "It wasn’t just the lack" | | 10 | "she said, her voice shaking" | | 11 | "She turned to leave, but" | | 12 | "It vanished before she could" | | 13 | "She took a step back," | | 14 | "she asked, her voice barely" | | 15 | "She cursed under her breath." | | 16 | "She risked another glance toward" | | 17 | "It should have been screaming," | | 18 | "Its silence was the most" | | 19 | "They didn’t seem to obey" |
| | ratio | 0.269 | |
| 99.42% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 104 | | matches | | 0 | "The chipped porcelain of the" | | 1 | "Earl Grey, lukewarm now." | | 2 | "She’d brewed it back above" | | 3 | "Richmond Park, even in late" | | 4 | "She adjusted the strap of" | | 5 | "Finals were looming." | | 6 | "Law felt like a distant," | | 7 | "*Something solid, Rory." | | 8 | "A fallback.* A fallback from" | | 9 | "The Fae Grove." | | 10 | "Isolde’s Grove, some called it." | | 11 | "Locals mostly steered clear, mumbling" | | 12 | "Rory hadn’t believed the stories," | | 13 | "The air tasted different within" | | 14 | "Wildflowers, a riot of color," | | 15 | "Rory walked towards the center," | | 16 | "Her voice sounded too loud," | | 17 | "a rustle in the undergrowth." | | 18 | "She paused, scanning the perimeter." | | 19 | "She’d come because of the" |
| | ratio | 0.721 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 104 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 1 | | matches | | 0 | "She started tracing a line on her map, checking the alignment of the stones." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 4 | | matches | | 0 | "she said, her voice shaking slightly" | | 1 | "she asked, her voice barely a whisper" | | 2 | "Rory demanded, her voice gaining a shaky edge" | | 3 | "The voice chuckled, a brittle, rasping sound" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 5 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she breathed (breathe)" | | 2 | "Rory demanded (demand)" | | 3 | "the voice observed (observe)" | | 4 | "The voice chuckled (chuckle)" |
| | dialogueSentences | 19 | | tagDensity | 0.368 | | leniency | 0.737 | | rawRatio | 0.714 | | effectiveRatio | 0.526 | |