| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1923 | | 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) | |
| 94.80% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1923 | | totalAiIsms | 2 | | found | | | highlights | | |
| 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 | 176 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 176 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 240 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1923 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 44.77% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 69 | | wordCount | 1568 | | uniqueNames | 7 | | maxNameDensity | 2.1 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 33 | | Richmond | 1 | | Park | 1 | | Nyx | 15 | | Isolde | 13 | | Light | 3 | | Cold | 3 |
| | persons | | 0 | "Rory" | | 1 | "Nyx" | | 2 | "Isolde" | | 3 | "Light" | | 4 | "Cold" |
| | places | | | globalScore | 0.448 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 124 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 96.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.04 | | wordCount | 1923 | | matches | | 0 | "neither Richmond Park nor" | | 1 | "not a worn path but a line of closed flowers, their heads bent beneath transluce" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 240 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 165 | | mean | 11.65 | | std | 11.12 | | cv | 0.954 | | sampleLengths | | 0 | 12 | | 1 | 32 | | 2 | 4 | | 3 | 20 | | 4 | 10 | | 5 | 5 | | 6 | 36 | | 7 | 15 | | 8 | 13 | | 9 | 8 | | 10 | 18 | | 11 | 4 | | 12 | 4 | | 13 | 9 | | 14 | 5 | | 15 | 37 | | 16 | 7 | | 17 | 2 | | 18 | 39 | | 19 | 22 | | 20 | 5 | | 21 | 1 | | 22 | 10 | | 23 | 19 | | 24 | 3 | | 25 | 5 | | 26 | 7 | | 27 | 1 | | 28 | 20 | | 29 | 4 | | 30 | 7 | | 31 | 57 | | 32 | 4 | | 33 | 4 | | 34 | 18 | | 35 | 7 | | 36 | 4 | | 37 | 2 | | 38 | 1 | | 39 | 4 | | 40 | 5 | | 41 | 33 | | 42 | 18 | | 43 | 5 | | 44 | 4 | | 45 | 4 | | 46 | 2 | | 47 | 27 | | 48 | 35 | | 49 | 16 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 176 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 273 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 3 | | flaggedSentences | 3 | | totalSentences | 240 | | ratio | 0.013 | | matches | | 0 | "Their shoulders gathered into shape; their left hand remained a loose tangle of darkness." | | 1 | "Some matched the colour of bone; others carried moving points of green light." | | 2 | "Cold bit through her fingers; the metal felt as though it had spent the winter beneath a frozen lake." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1570 | | adjectiveStacks | 1 | | stackExamples | | 0 | "bent beneath translucent leaves." |
| | adverbCount | 28 | | adverbRatio | 0.017834394904458598 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 240 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 240 | | mean | 8.01 | | std | 4.91 | | cv | 0.612 | | sampleLengths | | 0 | 12 | | 1 | 5 | | 2 | 21 | | 3 | 6 | | 4 | 4 | | 5 | 14 | | 6 | 6 | | 7 | 10 | | 8 | 5 | | 9 | 8 | | 10 | 18 | | 11 | 6 | | 12 | 4 | | 13 | 15 | | 14 | 5 | | 15 | 8 | | 16 | 8 | | 17 | 8 | | 18 | 10 | | 19 | 4 | | 20 | 4 | | 21 | 9 | | 22 | 5 | | 23 | 5 | | 24 | 20 | | 25 | 6 | | 26 | 6 | | 27 | 7 | | 28 | 2 | | 29 | 16 | | 30 | 8 | | 31 | 15 | | 32 | 8 | | 33 | 14 | | 34 | 5 | | 35 | 1 | | 36 | 10 | | 37 | 5 | | 38 | 14 | | 39 | 3 | | 40 | 5 | | 41 | 7 | | 42 | 1 | | 43 | 6 | | 44 | 14 | | 45 | 4 | | 46 | 7 | | 47 | 12 | | 48 | 15 | | 49 | 16 |
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| 48.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.29583333333333334 | | totalSentences | 240 | | uniqueOpeners | 71 | |
| 58.82% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 170 | | matches | | 0 | "Light washed over the bark," | | 1 | "Then it broke into separate" | | 2 | "Then the basin’s reflected flowers" |
| | ratio | 0.018 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 170 | | matches | | 0 | "She drew her fingers back." | | 1 | "She pressed her thumb against" | | 2 | "Their outline frayed where it" | | 3 | "She stepped between the trunks." | | 4 | "Her boot met a yielding" | | 5 | "She shifted her weight, expecting" | | 6 | "Her torch beam struck it" | | 7 | "Their shoulders gathered into shape;" | | 8 | "She stopped with her fingers" | | 9 | "They pressed it against the" | | 10 | "She raised the torch." | | 11 | "She took another step." | | 12 | "She crouched and parted the" | | 13 | "Their shadow fell towards the" | | 14 | "Her silver hair reached her" | | 15 | "She crossed the damp ground" | | 16 | "Its petals folded towards her" | | 17 | "Their edges tightened." | | 18 | "She turned towards the oak." | | 19 | "She leaned closer." |
| | ratio | 0.235 | |
| 48.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 140 | | totalSentences | 170 | | matches | | 0 | "The gap between the oaks" | | 1 | "She drew her fingers back." | | 2 | "Nyx stood beside her, their" | | 3 | "Rory swept the torch across" | | 4 | "Each bore the same knot" | | 5 | "She pressed her thumb against" | | 6 | "Stone rasped her skin." | | 7 | "The whole trunk had petrified," | | 8 | "Nyx leaned towards the opening." | | 9 | "Their outline frayed where it" | | 10 | "Rory gripped the crimson pendant" | | 11 | "The silver chain caught a" | | 12 | "She stepped between the trunks." | | 13 | "Pressure closed around her ears." | | 14 | "The smell of wet leaves" | | 15 | "Her boot met a yielding" | | 16 | "She shifted her weight, expecting" | | 17 | "The ground flexed beneath her," | | 18 | "The trees stood behind her," | | 19 | "A pale sheet of bark" |
| | ratio | 0.824 | |
| 29.41% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 170 | | matches | | 0 | "While she watched, the final" |
| | ratio | 0.006 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 62 | | technicalSentenceCount | 2 | | matches | | 0 | "Each bore the same knot at shoulder height: a narrow oval surrounded by ridges that resembled closed eyelids." | | 1 | "Then it broke into separate notes: a low wooden knock, the scrape of something dragged across glass, a clear tone that made her back teeth ache." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |