| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 66.89% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 604 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | | 2 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "very" | | 1 | "suddenly" | | 2 | "barely above a whisper" |
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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 | 604 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "looming" | | 1 | "sentinels" | | 2 | "pulsed" | | 3 | "footsteps" | | 4 | "echoing" | | 5 | "rhythmic" | | 6 | "pounding" | | 7 | "flicker" | | 8 | "whisper" | | 9 | "racing" | | 10 | "determined" | | 11 | "gleaming" | | 12 | "could feel" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "heart pounded in chest" | | count | 1 |
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| | highlights | | 0 | "heart pounded in her chest" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 59 | | matches | (empty) | |
| 70.22% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 59 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 59 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 600 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 91.28% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 596 | | uniqueNames | 6 | | maxNameDensity | 1.17 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 7 | | Richmond | 1 | | Park | 1 | | Heartstone | 1 | | Pendant | 1 | | Fae-touched | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae-touched" |
| | globalScore | 0.913 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | 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 | 600 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 59 | | matches | (empty) | |
| 48.79% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 10 | | mean | 60 | | std | 19.25 | | cv | 0.321 | | sampleLengths | | 0 | 82 | | 1 | 73 | | 2 | 60 | | 3 | 59 | | 4 | 52 | | 5 | 71 | | 6 | 50 | | 7 | 72 | | 8 | 71 | | 9 | 10 |
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| 99.32% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 59 | | matches | | |
| 21.43% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 112 | | matches | | 0 | "was waiting" | | 1 | "was being" | | 2 | "was watching" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 59 | | ratio | 0 | | matches | (empty) | |
| 81.04% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 600 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.06166666666666667 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.02 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 59 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 59 | | mean | 10.17 | | std | 5.53 | | cv | 0.544 | | sampleLengths | | 0 | 25 | | 1 | 23 | | 2 | 9 | | 3 | 1 | | 4 | 24 | | 5 | 6 | | 6 | 8 | | 7 | 13 | | 8 | 14 | | 9 | 3 | | 10 | 8 | | 11 | 9 | | 12 | 12 | | 13 | 12 | | 14 | 17 | | 15 | 10 | | 16 | 1 | | 17 | 20 | | 18 | 17 | | 19 | 6 | | 20 | 3 | | 21 | 2 | | 22 | 14 | | 23 | 17 | | 24 | 6 | | 25 | 10 | | 26 | 10 | | 27 | 6 | | 28 | 10 | | 29 | 10 | | 30 | 11 | | 31 | 4 | | 32 | 12 | | 33 | 9 | | 34 | 7 | | 35 | 14 | | 36 | 9 | | 37 | 5 | | 38 | 8 | | 39 | 15 | | 40 | 12 | | 41 | 15 | | 42 | 4 | | 43 | 6 | | 44 | 2 | | 45 | 11 | | 46 | 12 | | 47 | 14 | | 48 | 4 | | 49 | 6 |
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| 55.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3728813559322034 | | totalSentences | 59 | | uniqueOpeners | 22 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 54 | | matches | | 0 | "Even the wind held its" | | 1 | "Suddenly, a cold gust of" | | 2 | "Suddenly, the figure moved." |
| | ratio | 0.056 | |
| 57.04% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 54 | | matches | | 0 | "She had come seeking answers," | | 1 | "She paused, listening." | | 2 | "She turned towards the sound," | | 3 | "She reached out, her fingers" | | 4 | "She let out a shaky" | | 5 | "It sounded like..." | | 6 | "She spun around, trying to" | | 7 | "she called out, her voice" | | 8 | "She took a deep breath," | | 9 | "She was being silly." | | 10 | "It was just the wind," | | 11 | "She turned back towards the" | | 12 | "It was tall, too tall," | | 13 | "She could feel its gaze," | | 14 | "She had to leave, had" | | 15 | "It stepped forward, into the" | | 16 | "It was a woman, or" | | 17 | "Her skin was pale, almost" | | 18 | "Her hair was long, wild," | | 19 | "It was a smile that" |
| | ratio | 0.407 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 38 | | totalSentences | 54 | | matches | | 0 | "The Heartstone Pendant, a crimson" | | 1 | "She had come seeking answers," | | 2 | "The wildflowers that bloomed year-round" | | 3 | "The grove was silent, too" | | 4 | "Rory's footsteps crunched on the" | | 5 | "She paused, listening." | | 6 | "She turned towards the sound," | | 7 | "The tapping came from an" | | 8 | "She reached out, her fingers" | | 9 | "She let out a shaky" | | 10 | "Rory's breath caught in her" | | 11 | "It sounded like..." | | 12 | "Whispers carried on the wind," | | 13 | "She spun around, trying to" | | 14 | "A sudden movement caught her" | | 15 | "Something darted between the trees," | | 16 | "A flash of pale skin," | | 17 | "Rory's heart pounded in her" | | 18 | "she called out, her voice" | | 19 | "She took a deep breath," |
| | ratio | 0.704 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 93.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 2 | | matches | | 0 | "The wildflowers that bloomed year-round seemed to wilt under the moon's gaze, their vibrant colours leeched away, leaving only shadows of their former glory." | | 1 | "They surrounded her, their eyes gleaming in the darkness, their smiles promising only pain." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "she called out, her voice barely above a whisper" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "she called out (call out)" |
| | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |