| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 1 | | adverbTags | | 0 | "Her voice sounded too [too]" |
| | dialogueSentences | 7 | | tagDensity | 0.714 | | leniency | 1 | | rawRatio | 0.2 | | effectiveRatio | 0.2 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 822 | | 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) | |
| 51.34% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 822 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "weight" | | 1 | "loomed" | | 2 | "echo" | | 3 | "pulsed" | | 4 | "pulse" | | 5 | "stomach" | | 6 | "unraveling" |
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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 | 98 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 98 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 9 | | markdownWords | 18 | | totalWords | 817 | | ratio | 0.022 | | matches | | 0 | "\"Meet me at the Grove. Midnight. Don’t tell anyone.\"" | | 1 | "unfold" | | 2 | "here" | | 3 | "laughed" | | 4 | "breathed" | | 5 | "hungry" | | 6 | "\"You came,\"" | | 7 | "screamed" | | 8 | "hungry" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 796 | | uniqueNames | 8 | | maxNameDensity | 1.26 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Eva" | | discoveredNames | | Heartstone | 1 | | Pendant | 1 | | Rory | 10 | | Park | 1 | | Eva | 7 | | Grove | 1 | | Evan | 1 | | London | 1 |
| | persons | | 0 | "Pendant" | | 1 | "Rory" | | 2 | "Eva" | | 3 | "Evan" |
| | places | | | globalScore | 0.872 | | windowScore | 0.833 | |
| 63.79% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 2 | | matches | | 0 | "as if reaching" | | 1 | "darkness that seemed to breathe" |
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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 | 817 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 22.69 | | std | 18.66 | | cv | 0.822 | | sampleLengths | | 0 | 77 | | 1 | 10 | | 2 | 33 | | 3 | 5 | | 4 | 47 | | 5 | 8 | | 6 | 16 | | 7 | 56 | | 8 | 4 | | 9 | 3 | | 10 | 31 | | 11 | 10 | | 12 | 43 | | 13 | 25 | | 14 | 33 | | 15 | 8 | | 16 | 25 | | 17 | 4 | | 18 | 48 | | 19 | 4 | | 20 | 3 | | 21 | 36 | | 22 | 2 | | 23 | 36 | | 24 | 29 | | 25 | 36 | | 26 | 4 | | 27 | 33 | | 28 | 8 | | 29 | 7 | | 30 | 30 | | 31 | 4 | | 32 | 48 | | 33 | 36 | | 34 | 10 | | 35 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 98 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 126 | | matches | (empty) | |
| 57.14% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 100 | | ratio | 0.03 | | matches | | 0 | "A hand—pale, skeletal—emerged from the earth, fingers curling around her boot." | | 1 | "A face took shape—Eva’s face, but wrong." | | 2 | "Some wore faces she knew—Evan, her father, strangers from the street." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 801 | | adjectiveStacks | 1 | | stackExamples | | 0 | "lay heavy against Rory’s" |
| | adverbCount | 30 | | adverbRatio | 0.03745318352059925 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.003745318352059925 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 8.17 | | std | 5.52 | | cv | 0.675 | | sampleLengths | | 0 | 20 | | 1 | 18 | | 2 | 14 | | 3 | 15 | | 4 | 10 | | 5 | 4 | | 6 | 4 | | 7 | 2 | | 8 | 5 | | 9 | 28 | | 10 | 5 | | 11 | 3 | | 12 | 4 | | 13 | 22 | | 14 | 18 | | 15 | 8 | | 16 | 2 | | 17 | 14 | | 18 | 6 | | 19 | 14 | | 20 | 15 | | 21 | 6 | | 22 | 15 | | 23 | 2 | | 24 | 2 | | 25 | 3 | | 26 | 12 | | 27 | 1 | | 28 | 10 | | 29 | 3 | | 30 | 3 | | 31 | 2 | | 32 | 10 | | 33 | 3 | | 34 | 2 | | 35 | 1 | | 36 | 2 | | 37 | 10 | | 38 | 13 | | 39 | 12 | | 40 | 5 | | 41 | 2 | | 42 | 2 | | 43 | 16 | | 44 | 3 | | 45 | 12 | | 46 | 10 | | 47 | 8 | | 48 | 5 | | 49 | 3 |
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| 27.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 23 | | diversityRatio | 0.29 | | totalSentences | 100 | | uniqueOpeners | 29 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 80 | | matches | | 0 | "Just the wind, whispering through" | | 1 | "Just the creak of branches" | | 2 | "Just the trees, their branches" | | 3 | "Just the suggestion of a" |
| | ratio | 0.05 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 80 | | matches | | 0 | "She adjusted the strap of" | | 1 | "She shouldn’t have come." | | 2 | "Her voice sounded too loud," | | 3 | "She moved deeper into the" | | 4 | "She fumbled for her phone," | | 5 | "She exhaled, slow." | | 6 | "Its limbs bent at angles" | | 7 | "It didn’t move so much" | | 8 | "She turned to run." | | 9 | "She ran, the thorns tearing" | | 10 | "She collapsed onto the pavement," | | 11 | "She didn’t pick it up." |
| | ratio | 0.15 | |
| 41.25% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 80 | | matches | | 0 | "The Heartstone Pendant lay heavy" | | 1 | "She adjusted the strap of" | | 2 | "The standing stones loomed ahead," | | 3 | "Richmond Park stretched empty around" | | 4 | "She shouldn’t have come." | | 5 | "Rory stepped between the stones." | | 6 | "The air thickened." | | 7 | "The crickets stopped mid-chirp." | | 8 | "The wildflowers at her feet," | | 9 | "The pendant pulsed hotter, the" | | 10 | "Her voice sounded too loud," | | 11 | "She moved deeper into the" | | 12 | "The trees here grew too" | | 13 | "The moonlight didn’t reach the" | | 14 | "Rory’s pulse hammered in her" | | 15 | "She fumbled for her phone," | | 16 | "A twig snapped." | | 17 | "Rory spun, the beam of" | | 18 | "She exhaled, slow." | | 19 | "A shadow detached itself from" |
| | ratio | 0.838 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 4 | | matches | | 0 | "The wildflowers at her feet, usually dormant in late autumn, unfurled in her wake, petals stretching toward her boots as if reaching." | | 1 | "Its limbs bent at angles that made her stomach clench." | | 2 | "The thing wearing Eva’s face *screamed*, its body unraveling into smoke and shadows." | | 3 | "Rory burst from the trees, her lungs burning, her legs trembling." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "Eva whispered (whisper)" |
| | dialogueSentences | 7 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.667 | | effectiveRatio | 0.571 | |