| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 62 | | tagDensity | 0.306 | | leniency | 0.613 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1588 | | 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) | |
| 84.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1588 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "long shadow" | | 1 | "pulsed" | | 2 | "perfect" | | 3 | "eyebrow" | | 4 | "pulse" |
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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 | 152 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 152 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 195 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1587 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 23.37% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 66 | | wordCount | 1303 | | uniqueNames | 7 | | maxNameDensity | 2.53 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Rory | 33 | | Isolde | 15 | | Heartstone | 2 | | Nyx | 13 | | Fae-forged | 1 |
| | persons | | | places | | | globalScore | 0.234 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 102 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.63 | | wordCount | 1587 | | matches | | 0 | "not like a living thing but like a surface recalling" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 195 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 99 | | mean | 16.03 | | std | 15.28 | | cv | 0.953 | | sampleLengths | | 0 | 46 | | 1 | 30 | | 2 | 14 | | 3 | 38 | | 4 | 11 | | 5 | 13 | | 6 | 2 | | 7 | 3 | | 8 | 37 | | 9 | 24 | | 10 | 14 | | 11 | 67 | | 12 | 10 | | 13 | 5 | | 14 | 4 | | 15 | 37 | | 16 | 2 | | 17 | 34 | | 18 | 14 | | 19 | 15 | | 20 | 2 | | 21 | 5 | | 22 | 18 | | 23 | 45 | | 24 | 5 | | 25 | 16 | | 26 | 12 | | 27 | 6 | | 28 | 4 | | 29 | 6 | | 30 | 10 | | 31 | 37 | | 32 | 10 | | 33 | 6 | | 34 | 4 | | 35 | 62 | | 36 | 4 | | 37 | 3 | | 38 | 26 | | 39 | 3 | | 40 | 6 | | 41 | 8 | | 42 | 55 | | 43 | 28 | | 44 | 5 | | 45 | 2 | | 46 | 6 | | 47 | 8 | | 48 | 1 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 152 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 226 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 195 | | ratio | 0.005 | | matches | | 0 | "It carried the scent of wildflowers—and the rich, smoky smell of a feast cooking somewhere far below." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1308 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.023700305810397553 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 195 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 195 | | mean | 8.14 | | std | 5.18 | | cv | 0.637 | | sampleLengths | | 0 | 16 | | 1 | 18 | | 2 | 12 | | 3 | 7 | | 4 | 11 | | 5 | 7 | | 6 | 5 | | 7 | 9 | | 8 | 5 | | 9 | 3 | | 10 | 16 | | 11 | 19 | | 12 | 11 | | 13 | 9 | | 14 | 4 | | 15 | 2 | | 16 | 3 | | 17 | 6 | | 18 | 19 | | 19 | 6 | | 20 | 6 | | 21 | 2 | | 22 | 22 | | 23 | 3 | | 24 | 11 | | 25 | 2 | | 26 | 4 | | 27 | 10 | | 28 | 37 | | 29 | 14 | | 30 | 3 | | 31 | 7 | | 32 | 5 | | 33 | 4 | | 34 | 9 | | 35 | 5 | | 36 | 16 | | 37 | 7 | | 38 | 2 | | 39 | 5 | | 40 | 16 | | 41 | 3 | | 42 | 10 | | 43 | 14 | | 44 | 3 | | 45 | 12 | | 46 | 2 | | 47 | 5 | | 48 | 11 | | 49 | 7 |
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| 46.41% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.28717948717948716 | | totalSentences | 195 | | uniqueOpeners | 56 | |
| 50.13% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 133 | | matches | | 0 | "Somewhere ahead, a low humming" | | 1 | "Then they scattered, leaving the" |
| | ratio | 0.015 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 133 | | matches | | 0 | "Their oak trunks had split" | | 1 | "Her bare feet rested on" | | 2 | "Their outline rippled as they" | | 3 | "Her reflection looked back, but" | | 4 | "It lifted one hand to" | | 5 | "Their reflection showed a tall," | | 6 | "She drew it free." | | 7 | "Its leaf-shaped edge caught the" | | 8 | "She reached towards one." | | 9 | "It pulsed, then drifted deeper" | | 10 | "It carried no tune, but" | | 11 | "Their shadow had detached from" | | 12 | "They had too many legs" | | 13 | "Their bodies rang against the" | | 14 | "She tightened her grip on" | | 15 | "Their polished backs reflected Rory’s" | | 16 | "Their roots lifted from the" | | 17 | "It recoiled at once, snapping" | | 18 | "Their form thinned until the" | | 19 | "They moved farther in, then" |
| | ratio | 0.211 | |
| 27.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 115 | | totalSentences | 133 | | matches | | 0 | "The standing stones rose from" | | 1 | "Their oak trunks had split" | | 2 | "Isolde waited between the two" | | 3 | "Her bare feet rested on" | | 4 | "Rory glanced back." | | 5 | "The park path ran between" | | 6 | "Nyx stood at her shoulder," | | 7 | "Isolde’s pale eyes held hers" | | 8 | "Rory stepped through." | | 9 | "The air changed against her" | | 10 | "A cool pressure passed over" | | 11 | "The sound thinned, stretched, and" | | 12 | "Their outline rippled as they" | | 13 | "Isolde came last." | | 14 | "The space between the trees" | | 15 | "The park had gone." | | 16 | "The standing stones surrounded a" | | 17 | "A narrow stream curved through" | | 18 | "Rory looked up." | | 19 | "Daylight filled the sky, clear" |
| | ratio | 0.865 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 133 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 2 | | matches | | 0 | "Their outline rippled as they crossed the boundary, the edges of their body breaking into ribbons of shadow before knitting back together." | | 1 | "The standing stones surrounded a clearing where wildflowers crowded the grass in colours she had no names for: blue so dark it looked black, orange veined with …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 18 | | fancyCount | 3 | | fancyTags | | 0 | "Isolde warned (warn)" | | 1 | "Rory murmured (murmur)" | | 2 | "Nyx whispered (whisper)" |
| | dialogueSentences | 62 | | tagDensity | 0.29 | | leniency | 0.581 | | rawRatio | 0.167 | | effectiveRatio | 0.097 | |