| 57.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said aloud [aloud]" |
| | dialogueSentences | 14 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.143 | | effectiveRatio | 0.143 | |
| 91.45% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1170 | | 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) | |
| 48.72% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1170 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "pulsed" | | 1 | "familiar" | | 2 | "silence" | | 3 | "weight" | | 4 | "stomach" | | 5 | "absolutely" | | 6 | "resonance" | | 7 | "pulse" | | 8 | "resolved" | | 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 | 101 | | matches | (empty) | |
| 72.14% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 101 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "tried to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 107 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 25 | | totalWords | 1170 | | ratio | 0.021 | | matches | | 0 | "You alright, love? You look peaked." | | 1 | "No?" | | 2 | "Then why does your heart beat like a trapped bird?" | | 3 | "You won't believe what happened after work tonight." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 1052 | | uniqueNames | 9 | | maxNameDensity | 0.48 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Richmond" | | discoveredNames | | Heartstone | 1 | | Richmond | 2 | | Park | 2 | | Pembroke | 1 | | Lodge | 1 | | London | 1 | | October | 1 | | Eva | 1 | | Rory | 5 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Pembroke" | | 3 | "London" | | 4 | "October" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 6 | | matches | | 0 | "felt like walking into a painting of it" | | 1 | "as if tracking something moving between them" | | 2 | "not quite her own" | | 3 | "quite reach between two of the standing stones" | | 4 | "whisper that seemed to come from the flowers themselves, from the stones, from inside her own skull" | | 5 | "seemed curious on something more human" |
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| 29.06% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.709 | | wordCount | 1170 | | matches | | 0 | "Not painful, but insistent" | | 1 | "Not from any breeze, but as though something moved through them, low to the ground, c" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 107 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 37.74 | | std | 20.96 | | cv | 0.555 | | sampleLengths | | 0 | 25 | | 1 | 69 | | 2 | 66 | | 3 | 12 | | 4 | 56 | | 5 | 20 | | 6 | 21 | | 7 | 16 | | 8 | 43 | | 9 | 54 | | 10 | 63 | | 11 | 6 | | 12 | 54 | | 13 | 18 | | 14 | 16 | | 15 | 19 | | 16 | 57 | | 17 | 57 | | 18 | 15 | | 19 | 43 | | 20 | 39 | | 21 | 9 | | 22 | 34 | | 23 | 64 | | 24 | 43 | | 25 | 16 | | 26 | 70 | | 27 | 41 | | 28 | 8 | | 29 | 66 | | 30 | 50 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 101 | | matches | (empty) | |
| 86.36% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 176 | | matches | | 0 | "was making" | | 1 | "weren't just swaying" | | 2 | "were turning" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 107 | | ratio | 0 | | matches | (empty) | |
| 91.95% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1057 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 52 | | adverbRatio | 0.04919583727530748 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.013245033112582781 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 107 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 107 | | mean | 10.93 | | std | 8.79 | | cv | 0.804 | | sampleLengths | | 0 | 25 | | 1 | 17 | | 2 | 26 | | 3 | 10 | | 4 | 3 | | 5 | 6 | | 6 | 7 | | 7 | 18 | | 8 | 25 | | 9 | 6 | | 10 | 3 | | 11 | 4 | | 12 | 10 | | 13 | 12 | | 14 | 20 | | 15 | 17 | | 16 | 5 | | 17 | 1 | | 18 | 1 | | 19 | 12 | | 20 | 4 | | 21 | 4 | | 22 | 12 | | 23 | 15 | | 24 | 6 | | 25 | 2 | | 26 | 2 | | 27 | 12 | | 28 | 2 | | 29 | 1 | | 30 | 22 | | 31 | 11 | | 32 | 1 | | 33 | 6 | | 34 | 10 | | 35 | 4 | | 36 | 4 | | 37 | 18 | | 38 | 18 | | 39 | 3 | | 40 | 8 | | 41 | 26 | | 42 | 3 | | 43 | 23 | | 44 | 6 | | 45 | 16 | | 46 | 13 | | 47 | 10 | | 48 | 3 | | 49 | 9 |
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| 68.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.4766355140186916 | | totalSentences | 107 | | uniqueOpeners | 51 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 86 | | matches | | 0 | "Then, from somewhere deeper in" | | 1 | "Slowly, collectively, as if tracking" | | 2 | "*Then why does your heart" | | 3 | "Directly ahead, where the light" |
| | ratio | 0.047 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 86 | | matches | | 0 | "*You alright, love?" | | 1 | "You look peaked.* She hadn't" | | 2 | "She'd walked through Richmond Park" | | 3 | "She found the standing stones" | | 4 | "They swayed gently despite the" | | 5 | "she said aloud, and her" | | 6 | "She watched the darkness between" | | 7 | "She should leave." | | 8 | "She'd come here following an" | | 9 | "Her feet carried her forward" | | 10 | "They were turning." | | 11 | "Her voice came out steadier" | | 12 | "Her skin prickled with heat" | | 13 | "She could leave." | | 14 | "She could absolutely leave." | | 15 | "*You won't believe what happened" | | 16 | "It wore a face that" | | 17 | "It smiled, and the expression" | | 18 | "It moved closer, and its" | | 19 | "It took another step, and" |
| | ratio | 0.267 | |
| 99.53% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 86 | | matches | | 0 | "The Heartstone pendant had grown" | | 1 | "Rory pressed through the railings" | | 2 | "Something had pulled her here" | | 3 | "Yu-Fei had looked at her" | | 4 | "*You alright, love?" | | 5 | "You look peaked.* She hadn't" | | 6 | "The path through the trees" | | 7 | "She'd walked through Richmond Park" | | 8 | "The shadows pooled differently." | | 9 | "The silence held a weight" | | 10 | "She found the standing stones" | | 11 | "They swayed gently despite the" | | 12 | "The air here tasted different." | | 13 | "The pendant flared hot." | | 14 | "A gentle burn that spread" | | 15 | "she said aloud, and her" | | 16 | "The snap of a twig," | | 17 | "The path stretched empty back" | | 18 | "She watched the darkness between" | | 19 | "The wildflowers continued their impossible" |
| | ratio | 0.721 | |
| 58.14% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 86 | | matches | | 0 | "To her left this time." |
| | ratio | 0.012 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 4 | | matches | | 0 | "Something had pulled her here after her shift ended, a tugging sensation behind her sternum that hadn't let up since she'd closed the restaurant's back door." | | 1 | "The path through the trees lay before her, silver-white under a moon that seemed too bright, too close." | | 2 | "Three ancient oaks, gnarled and massive, formed a triangle around a clearing carpeted with wildflowers that shouldn't exist in October." | | 3 | "It wore a face that almost looked human, features too symmetrical to be real, eyes like polished obsidian that reflected nothing." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 1 | | matches | | 0 | "It took, and the wildflowers bowed as it passed" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.071 | | leniency | 0.143 | | rawRatio | 0 | | effectiveRatio | 0 | |