| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 17 | | tagDensity | 0.471 | | leniency | 0.941 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1156 | | 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) | |
| 17.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1156 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "silence" | | 1 | "familiar" | | 2 | "gloom" | | 3 | "whisper" | | 4 | "quickened" | | 5 | "footsteps" | | 6 | "warmth" | | 7 | "pulse" | | 8 | "dancing" | | 9 | "measured" | | 10 | "pulsed" | | 11 | "flickered" | | 12 | "loomed" | | 13 | "searing" |
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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 | 129 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 129 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 138 | | 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 | 0 | | markdownWords | 0 | | totalWords | 1140 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 79.04% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 1057 | | uniqueNames | 11 | | maxNameDensity | 1.42 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 3 | | Park | 3 | | Aurora | 15 | | Isolde | 8 | | Heartstone | 6 | | Hel | 3 | | Fae | 1 | | Grove | 5 | | God | 1 | | July | 1 | | Celtic | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Isolde" | | 2 | "Heartstone" | | 3 | "Grove" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Hel" | | 3 | "July" |
| | globalScore | 0.79 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 90 | | glossingSentenceCount | 1 | | matches | | 0 | "granite that seemed to drink in her torchlight" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.877 | | wordCount | 1140 | | matches | | 0 | "not the Grove, but at least a break from those suffocating trunks" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 138 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 22.8 | | std | 15.81 | | cv | 0.693 | | sampleLengths | | 0 | 60 | | 1 | 27 | | 2 | 20 | | 3 | 41 | | 4 | 45 | | 5 | 6 | | 6 | 14 | | 7 | 15 | | 8 | 6 | | 9 | 40 | | 10 | 14 | | 11 | 20 | | 12 | 31 | | 13 | 36 | | 14 | 40 | | 15 | 4 | | 16 | 2 | | 17 | 27 | | 18 | 3 | | 19 | 47 | | 20 | 8 | | 21 | 36 | | 22 | 14 | | 23 | 33 | | 24 | 40 | | 25 | 7 | | 26 | 35 | | 27 | 3 | | 28 | 13 | | 29 | 18 | | 30 | 9 | | 31 | 34 | | 32 | 2 | | 33 | 25 | | 34 | 59 | | 35 | 5 | | 36 | 3 | | 37 | 2 | | 38 | 38 | | 39 | 41 | | 40 | 5 | | 41 | 37 | | 42 | 8 | | 43 | 34 | | 44 | 19 | | 45 | 19 | | 46 | 30 | | 47 | 16 | | 48 | 12 | | 49 | 37 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 129 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 187 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 138 | | ratio | 0.08 | | matches | | 0 | "She'd scaled the fence after hours countless times before—usually to meet Isolde for training—but tonight felt different." | | 1 | "Then this afternoon, a single oak leaf had appeared on Aurora's pillow—Isolde's calling card." | | 2 | "The trees looked wrong—too uniform, their trunks perfectly spaced like soldiers at attention." | | 3 | "Another sound—soft footsteps matching hers, just out of sync." | | 4 | "Aurora burst into a clearing—not the Grove, but at least a break from those suffocating trunks." | | 5 | "Where Isolde's Grove held seven ancient oaks grown into living monuments, these were actual stone—black granite that seemed to drink in her torchlight." | | 6 | "New symbols writhed across the surface—angular, sharp-edged things that hurt to look at directly." | | 7 | "Not words—at least, not in any language she recognised." | | 8 | "Not shadows—the actual darkness, peeling away from the trees like fabric." | | 9 | "Not a human sound—too many throats, too many mouths." | | 10 | "The Heartstone's glow barely penetrated the black, showing her only glimpses—a twisted root here, a low branch there." |
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| 78.39% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1072 | | adjectiveStacks | 1 | | stackExamples | | 0 | "angular, sharp-edged things" |
| | adverbCount | 62 | | adverbRatio | 0.05783582089552239 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.01585820895522388 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 138 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 138 | | mean | 8.26 | | std | 5.26 | | cv | 0.637 | | sampleLengths | | 0 | 18 | | 1 | 17 | | 2 | 25 | | 3 | 8 | | 4 | 2 | | 5 | 6 | | 6 | 11 | | 7 | 11 | | 8 | 9 | | 9 | 9 | | 10 | 4 | | 11 | 2 | | 12 | 14 | | 13 | 12 | | 14 | 13 | | 15 | 10 | | 16 | 9 | | 17 | 13 | | 18 | 6 | | 19 | 6 | | 20 | 1 | | 21 | 7 | | 22 | 8 | | 23 | 6 | | 24 | 1 | | 25 | 6 | | 26 | 15 | | 27 | 6 | | 28 | 5 | | 29 | 14 | | 30 | 14 | | 31 | 9 | | 32 | 2 | | 33 | 9 | | 34 | 18 | | 35 | 7 | | 36 | 6 | | 37 | 5 | | 38 | 10 | | 39 | 6 | | 40 | 3 | | 41 | 12 | | 42 | 5 | | 43 | 2 | | 44 | 16 | | 45 | 17 | | 46 | 1 | | 47 | 2 | | 48 | 1 | | 49 | 2 |
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| 64.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4057971014492754 | | totalSentences | 138 | | uniqueOpeners | 56 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 106 | | matches | | 0 | "Then this afternoon, a single" | | 1 | "Instead, it stretched straight as" | | 2 | "Just the endless rows of" | | 3 | "Then the right." | | 4 | "Then somehow from above, as" | | 5 | "Only the wild tangle of" | | 6 | "Just the bark against her" |
| | ratio | 0.066 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 106 | | matches | | 0 | "She'd scaled the fence after" | | 1 | "She touched the Heartstone pendant" | | 2 | "she muttered, forcing her feet" | | 3 | "She spun, light piercing the" | | 4 | "She cleared her throat, tried" | | 5 | "She'd walked these trails a" | | 6 | "They continued for two more" | | 7 | "She broke into a jog." | | 8 | "They came from the left" | | 9 | "She bent double, catching her" | | 10 | "She straightened slowly, breath misting" | | 11 | "They formed the same pattern," | | 12 | "She reached out, fingers stopping" | | 13 | "She made it three steps" | | 14 | "It flowed across the frost," | | 15 | "She crashed through the tree" | | 16 | "Her torch flickered." | | 17 | "She pressed her back against" | | 18 | "She jerked away, stumbling into" | | 19 | "It wore Isolde's shape but" |
| | ratio | 0.217 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 106 | | matches | | 0 | "The iron gate of Richmond" | | 1 | "She'd scaled the fence after" | | 2 | "The familiar path stretched before" | | 3 | "She touched the Heartstone pendant" | | 4 | "she muttered, forcing her feet" | | 5 | "The Fae woman had been" | | 6 | "Aurora stopped, sweeping her torch" | | 7 | "The trees looked wrong—too uniform," | | 8 | "A branch snapped somewhere behind" | | 9 | "She spun, light piercing the" | | 10 | "The word came out as" | | 11 | "She cleared her throat, tried" | | 12 | "The silence that answered felt" | | 13 | "Aurora quickened her pace, trainers" | | 14 | "The path had to curve" | | 15 | "Richmond Park wasn't that big." | | 16 | "She'd walked these trails a" | | 17 | "Another sound—soft footsteps matching hers," | | 18 | "They continued for two more" | | 19 | "Aurora's hand found the pendant" |
| | ratio | 0.717 | |
| 94.34% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 106 | | matches | | 0 | "If she'd left instructions at" | | 1 | "If the Grove had become" |
| | ratio | 0.019 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 5 | | matches | | 0 | "Aurora quickened her pace, trainers crunching on dead leaves that hadn't been there moments before." | | 1 | "She bent double, catching her breath, torch beam dancing across grass that looked silver in the moonlight." | | 2 | "Where Isolde's Grove held seven ancient oaks grown into living monuments, these were actual stone—black granite that seemed to drink in her torchlight." | | 3 | "New symbols writhed across the surface—angular, sharp-edged things that hurt to look at directly." | | 4 | "The thing that wasn't Isolde smiled, its mouth opening wider and wider, revealing row after row of needle-sharp teeth." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 2 | | matches | | 0 | "Aurora's hand found, fingers closing around it through the fabric" | | 1 | "She reached out, fingers stopping inches from the stone" |
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| 91.18% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 17 | | tagDensity | 0.059 | | leniency | 0.118 | | rawRatio | 1 | | effectiveRatio | 0.118 | |