| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |
| 94.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 839 | | totalAiIsmAdverbs | 1 | | 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) | |
| 4.65% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 839 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "warmth" | | 1 | "pulse" | | 2 | "loomed" | | 3 | "silence" | | 4 | "perfect" | | 5 | "echoed" | | 6 | "quickened" | | 7 | "whisper" | | 8 | "racing" | | 9 | "trembled" | | 10 | "could feel" | | 11 | "searing" | | 12 | "pounding" |
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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 | 90 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 90 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 835 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 833 | | uniqueNames | 9 | | maxNameDensity | 0.96 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 5 | | Pendant | 1 | | Fae | 1 | | Grove | 1 | | Eva | 1 | | London | 1 | | Richmond | 2 | | Park | 2 | | Rory | 8 |
| | persons | | 0 | "Heartstone" | | 1 | "Pendant" | | 2 | "Eva" | | 3 | "Rory" |
| | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "London" | | 3 | "Richmond" | | 4 | "Park" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 835 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 24.56 | | std | 18.7 | | cv | 0.762 | | sampleLengths | | 0 | 57 | | 1 | 64 | | 2 | 46 | | 3 | 41 | | 4 | 61 | | 5 | 8 | | 6 | 45 | | 7 | 5 | | 8 | 37 | | 9 | 9 | | 10 | 16 | | 11 | 21 | | 12 | 34 | | 13 | 7 | | 14 | 37 | | 15 | 39 | | 16 | 13 | | 17 | 15 | | 18 | 5 | | 19 | 3 | | 20 | 5 | | 21 | 11 | | 22 | 46 | | 23 | 5 | | 24 | 12 | | 25 | 39 | | 26 | 45 | | 27 | 3 | | 28 | 28 | | 29 | 5 | | 30 | 38 | | 31 | 20 | | 32 | 7 | | 33 | 8 |
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| 97.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 90 | | matches | | 0 | "been bathed" | | 1 | "were gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 130 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 90 | | ratio | 0.067 | | matches | | 0 | "She had come to the Fae Grove for answers—not that she expected them to be kind." | | 1 | "She took a step forward, and the grass beneath her boots crunched—too loud, too sharp." | | 2 | "Then she heard it—a whisper." | | 3 | "She could feel them—cold fingers brushing the nape of her neck, the small of her back." | | 4 | "She lunged for the nearest stone, her fingers scraping against the bark—" | | 5 | "—and something grabbed her ankle." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 837 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.035842293906810034 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.008363201911589008 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 9.28 | | std | 6.32 | | cv | 0.682 | | sampleLengths | | 0 | 16 | | 1 | 25 | | 2 | 16 | | 3 | 13 | | 4 | 44 | | 5 | 5 | | 6 | 2 | | 7 | 15 | | 8 | 11 | | 9 | 13 | | 10 | 3 | | 11 | 4 | | 12 | 15 | | 13 | 13 | | 14 | 7 | | 15 | 6 | | 16 | 15 | | 17 | 11 | | 18 | 3 | | 19 | 14 | | 20 | 18 | | 21 | 8 | | 22 | 5 | | 23 | 1 | | 24 | 12 | | 25 | 14 | | 26 | 13 | | 27 | 5 | | 28 | 2 | | 29 | 2 | | 30 | 12 | | 31 | 5 | | 32 | 16 | | 33 | 9 | | 34 | 7 | | 35 | 4 | | 36 | 5 | | 37 | 9 | | 38 | 7 | | 39 | 3 | | 40 | 2 | | 41 | 12 | | 42 | 6 | | 43 | 16 | | 44 | 7 | | 45 | 3 | | 46 | 3 | | 47 | 12 | | 48 | 9 | | 49 | 10 |
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| 30.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.23333333333333334 | | totalSentences | 90 | | uniqueOpeners | 21 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 82 | | matches | | 0 | "Just the trees, their branches" | | 1 | "Then she heard it—a whisper." | | 2 | "Then the ground beneath her" | | 3 | "Only the grove, the stones," | | 4 | "Just two pale, glowing orbs," |
| | ratio | 0.061 | |
| 88.29% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 82 | | matches | | 0 | "She had come to the" | | 1 | "She had only been here" | | 2 | "She was alone." | | 3 | "She took a step forward," | | 4 | "Her pulse quickened." | | 5 | "She told herself it was" | | 6 | "She forced herself to keep" | | 7 | "It came from behind her." | | 8 | "She spun, her heart hammering," | | 9 | "Her voice sounded small, swallowed" | | 10 | "She had come here for" | | 11 | "She wouldn’t run." | | 12 | "She reached the birch tree" | | 13 | "She could feel them—cold fingers" | | 14 | "She whirled, but there was" | | 15 | "She didn’t wait to see" | | 16 | "She could see the faint" | | 17 | "She lunged for the nearest" | | 18 | "She screamed, kicking wildly, but" | | 19 | "She looked down." |
| | ratio | 0.329 | |
| 57.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 82 | | matches | | 0 | "The night air was thick" | | 1 | "Rory adjusted the strap of" | | 2 | "She had come to the" | | 3 | "The standing stones loomed ahead," | | 4 | "She had only been here" | | 5 | "Rory hesitated at the boundary," | | 6 | "The moment she stepped past" | | 7 | "The temperature dropped, and the" | | 8 | "She was alone." | | 9 | "The clearing stretched before her," | | 10 | "That was where she needed" | | 11 | "That was where the answers" | | 12 | "She took a step forward," | | 13 | "The sound echoed, though the" | | 14 | "Her pulse quickened." | | 15 | "She told herself it was" | | 16 | "Something moved at the edge" | | 17 | "Rory turned, her breath shallow." | | 18 | "She forced herself to keep" | | 19 | "The birch tree drew closer," |
| | ratio | 0.805 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 82 | | matches | | 0 | "Now, the air was still." | | 1 | "—and something grabbed her ankle." |
| | ratio | 0.024 | |
| 69.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 4 | | matches | | 0 | "She forced herself to keep walking, her boots sinking slightly into the damp earth." | | 1 | "The Heartstone flared hot against her skin, its glow pulsing in time with her racing heart." | | 2 | "The earth itself had risen up, roots and vines twisting around her leg, pulling her back into the grove." | | 3 | "Rory lay there, gasping, her heart pounding in her ears." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |