| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.53% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 773 | | 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) | |
| 35.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 773 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "silence" | | 3 | "loomed" | | 4 | "echoed" | | 5 | "crystalline" |
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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 | 78 | | matches | (empty) | |
| 87.91% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 78 | | filterMatches | (empty) | | 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 | 83 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 8 | | totalWords | 770 | | ratio | 0.01 | | matches | | 0 | "Time moves differently here" | | 1 | "Don't stay too long" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 74.35% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 727 | | uniqueNames | 6 | | maxNameDensity | 1.51 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 11 | | Richmond | 2 | | Park | 2 | | Eva | 4 | | Heartstone | 3 | | London | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Eva" | | 2 | "Heartstone" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" |
| | globalScore | 0.743 | | windowScore | 0.833 | |
| 62.28% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 2 | | matches | | 0 | "symbols that seemed to shift when she tried to focus on them" | | 1 | "seemed deeper more solid than before" |
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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 | 770 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 83 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 21.39 | | std | 12.4 | | cv | 0.58 | | sampleLengths | | 0 | 32 | | 1 | 36 | | 2 | 35 | | 3 | 41 | | 4 | 6 | | 5 | 45 | | 6 | 3 | | 7 | 33 | | 8 | 5 | | 9 | 13 | | 10 | 1 | | 11 | 32 | | 12 | 12 | | 13 | 30 | | 14 | 5 | | 15 | 28 | | 16 | 29 | | 17 | 6 | | 18 | 3 | | 19 | 28 | | 20 | 24 | | 21 | 5 | | 22 | 37 | | 23 | 25 | | 24 | 13 | | 25 | 33 | | 26 | 13 | | 27 | 27 | | 28 | 19 | | 29 | 2 | | 30 | 24 | | 31 | 29 | | 32 | 27 | | 33 | 24 | | 34 | 26 | | 35 | 19 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 125 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 83 | | ratio | 0.012 | | matches | | 0 | "Regular park sounds rushed back – distant traffic, wind in normal trees, a fox's bark." |
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| 77.46% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 730 | | adjectiveStacks | 1 | | stackExamples | | 0 | "beneath cloud-strangled stars." |
| | adverbCount | 43 | | adverbRatio | 0.0589041095890411 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.012328767123287671 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 83 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 83 | | mean | 9.28 | | std | 5.17 | | cv | 0.558 | | sampleLengths | | 0 | 15 | | 1 | 17 | | 2 | 18 | | 3 | 18 | | 4 | 11 | | 5 | 14 | | 6 | 2 | | 7 | 2 | | 8 | 6 | | 9 | 11 | | 10 | 11 | | 11 | 19 | | 12 | 6 | | 13 | 7 | | 14 | 11 | | 15 | 11 | | 16 | 16 | | 17 | 3 | | 18 | 5 | | 19 | 14 | | 20 | 14 | | 21 | 5 | | 22 | 7 | | 23 | 1 | | 24 | 5 | | 25 | 1 | | 26 | 11 | | 27 | 5 | | 28 | 4 | | 29 | 12 | | 30 | 8 | | 31 | 4 | | 32 | 12 | | 33 | 12 | | 34 | 6 | | 35 | 5 | | 36 | 2 | | 37 | 9 | | 38 | 11 | | 39 | 6 | | 40 | 7 | | 41 | 11 | | 42 | 11 | | 43 | 3 | | 44 | 3 | | 45 | 3 | | 46 | 17 | | 47 | 11 | | 48 | 8 | | 49 | 16 |
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| 62.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.39759036144578314 | | totalSentences | 83 | | uniqueOpeners | 33 | |
| 45.05% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 74 | | matches | | 0 | "Just flowers swaying without wind." |
| | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 74 | | matches | | 0 | "she muttered, fishing the hastily" | | 1 | "She ducked under a low-hanging" | | 2 | "Their surfaces rippled with symbols" | | 3 | "She spun, torch beam cutting" | | 4 | "They turned to follow her" | | 5 | "They pulsed gently, like breathing" | | 6 | "She reached in." | | 7 | "It came from everywhere and" | | 8 | "Their petals opened and closed" | | 9 | "It promised secrets, power, an" | | 10 | "they whispered in Eva's voice" | | 11 | "She turned and ran, thorns" | | 12 | "Its heat seared her palm," | | 13 | "She hurled the pendant behind" | | 14 | "She looked back." | | 15 | "Her phone showed 12:48 AM." | | 16 | "She could only hope it" |
| | ratio | 0.23 | |
| 41.08% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 74 | | matches | | 0 | "The pendant pulsed against Aurora's" | | 1 | "she muttered, fishing the hastily" | | 2 | "Eva's normally precise handwriting had" | | 3 | "The Heartstone's warmth intensified with" | | 4 | "The ancient oaks loomed ahead," | | 5 | "Aurora checked the map again," | | 6 | "The pendant pulled like a" | | 7 | "The question died in the" | | 8 | "She ducked under a low-hanging" | | 9 | "The grove entrance stood before" | | 10 | "Their surfaces rippled with symbols" | | 11 | "The pendant burned." | | 12 | "Aurora stepped between the stones." | | 13 | "The air changed, becoming thick" | | 14 | "Wildflowers carpeted the ground, their" | | 15 | "Something rustled in the undergrowth." | | 16 | "She spun, torch beam cutting" | | 17 | "The word fell flat, as" | | 18 | "Aurora pulled out her phone." | | 19 | "The screen showed 12:47 AM," |
| | ratio | 0.838 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 81.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 3 | | matches | | 0 | "The pendant pulled like a compass needle, drawing her toward a thicket that shouldn't exist in well-manicured Richmond Park." | | 1 | "Their petals opened and closed in harmony, releasing notes that burrowed into her skull." | | 2 | "The shadows between the trees had solidified into shapes, tall and spindly, with too many joints and fingers that stretched like branches." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | 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 | "they whispered (whisper)" |
| | dialogueSentences | 8 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.667 | | effectiveRatio | 0.5 | |