| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said automatically [automatically]" | | 1 | "they said quietly [quietly]" |
| | dialogueSentences | 20 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.2 | | effectiveRatio | 0.2 | |
| 84.71% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 981 | | totalAiIsmAdverbs | 3 | | 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) | |
| 79.61% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 981 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "warmth" | | 1 | "flickered" | | 2 | "stomach" | | 3 | "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 | 57 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 57 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 67 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 981 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 78.32% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 837 | | uniqueNames | 11 | | maxNameDensity | 1.43 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 12 | | Park | 1 | | Fae | 1 | | January | 1 | | Heartstone | 1 | | Dymas | 1 | | Hel | 1 | | Isolde | 5 | | Wardens | 1 | | Veil | 1 | | Nyx | 3 |
| | persons | | 0 | "Rory" | | 1 | "Heartstone" | | 2 | "Isolde" | | 3 | "Wardens" | | 4 | "Nyx" |
| | places | | | globalScore | 0.783 | | windowScore | 1 | |
| 25.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed deeper than trees could make it" | | 1 | "spirals that seemed to move when she didn't look directly at them" |
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| 98.06% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.019 | | wordCount | 981 | | matches | | 0 | "not the sky but a vast branching canopy of roots" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 67 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 37.73 | | std | 29.29 | | cv | 0.776 | | sampleLengths | | 0 | 78 | | 1 | 61 | | 2 | 5 | | 3 | 6 | | 4 | 57 | | 5 | 8 | | 6 | 4 | | 7 | 81 | | 8 | 66 | | 9 | 63 | | 10 | 23 | | 11 | 5 | | 12 | 80 | | 13 | 10 | | 14 | 13 | | 15 | 55 | | 16 | 19 | | 17 | 87 | | 18 | 3 | | 19 | 82 | | 20 | 7 | | 21 | 22 | | 22 | 37 | | 23 | 43 | | 24 | 47 | | 25 | 19 |
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| 80.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 57 | | matches | | 0 | "been left" | | 1 | "been locked" | | 2 | "been burned" | | 3 | "was supposed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 139 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 67 | | ratio | 0 | | matches | (empty) | |
| 92.54% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 840 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 35 | | adverbRatio | 0.041666666666666664 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.011904761904761904 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 67 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 67 | | mean | 14.64 | | std | 10.65 | | cv | 0.727 | | sampleLengths | | 0 | 21 | | 1 | 29 | | 2 | 28 | | 3 | 8 | | 4 | 18 | | 5 | 23 | | 6 | 12 | | 7 | 5 | | 8 | 6 | | 9 | 29 | | 10 | 14 | | 11 | 14 | | 12 | 4 | | 13 | 4 | | 14 | 4 | | 15 | 13 | | 16 | 27 | | 17 | 41 | | 18 | 6 | | 19 | 22 | | 20 | 9 | | 21 | 29 | | 22 | 3 | | 23 | 30 | | 24 | 6 | | 25 | 1 | | 26 | 1 | | 27 | 22 | | 28 | 3 | | 29 | 20 | | 30 | 5 | | 31 | 44 | | 32 | 6 | | 33 | 8 | | 34 | 22 | | 35 | 10 | | 36 | 10 | | 37 | 3 | | 38 | 9 | | 39 | 23 | | 40 | 4 | | 41 | 19 | | 42 | 7 | | 43 | 12 | | 44 | 6 | | 45 | 19 | | 46 | 34 | | 47 | 28 | | 48 | 3 | | 49 | 32 |
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| 82.59% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5223880597014925 | | totalSentences | 67 | | uniqueOpeners | 35 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 49 | | matches | | 0 | "Instead the grass lay silver" | | 1 | "Then she saw the flowers." |
| | ratio | 0.041 | |
| 89.39% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 49 | | matches | | 0 | "She walked a pace ahead," | | 1 | "she said automatically" | | 2 | "She ignored that and kept" | | 3 | "She felt it before she" | | 4 | "She pressed her fingers over" | | 5 | "It was warmer, and it" | | 6 | "They grew everywhere, through the" | | 7 | "It was the middle of" | | 8 | "Her breath still clouded in" | | 9 | "She turned it off." | | 10 | "They walked on through the" | | 11 | "She stood quickly." | | 12 | "She thought of the rift" | | 13 | "Their violet eyes brightened, and" | | 14 | "they said quietly" | | 15 | "She did not turn around." |
| | ratio | 0.327 | |
| 41.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 41 | | totalSentences | 49 | | matches | | 0 | "The gate in the iron" | | 1 | "Richmond Park at two in" | | 2 | "She walked a pace ahead," | | 3 | "Rory had watched her cross" | | 4 | "Nyx's voice came from nowhere" | | 5 | "she said automatically" | | 6 | "She ignored that and kept" | | 7 | "The Fae blade sat in" | | 8 | "Isolde had given it to" | | 9 | "The pendant at her throat" | | 10 | "She felt it before she" | | 11 | "She pressed her fingers over" | | 12 | "Nothing in Dymas should be" | | 13 | "The path opened." | | 14 | "Rory counted them without meaning" | | 15 | "The last stood a little" | | 16 | "The air changed." | | 17 | "It was warmer, and it" | | 18 | "They grew everywhere, through the" | | 19 | "It was the middle of" |
| | ratio | 0.837 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 49 | | matches | (empty) | | ratio | 0 | |
| 15.31% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 5 | | matches | | 0 | "Beside Rory, the shadow at her left shoulder shifted and thinned, then folded itself into a tall, narrow shape that was somehow more solid than the dark around …" | | 1 | "They grew everywhere, through the grass and up the flanks of the stones, between the roots of the oaks: foxgloves, primroses, wild violets, white clover in lazy…" | | 2 | "Yet the meadow beyond the stones was in full summer, humming with bees that glowed faintly gold where they crossed the moonlight." | | 3 | "The grass brushed her knees and was warm, as if the earth beneath it had been sun-soaked all day." | | 4 | "Rory crouched at the edge and saw her own face there, pale and too still, and behind it, very briefly, a pale lavender eye that was not hers." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 3 | | fancyTags | | 0 | "Rory breathed (breathe)" | | 1 | "Nyx murmured (murmur)" | | 2 | "Isolde corrected (correct)" |
| | dialogueSentences | 20 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.3 | | effectiveRatio | 0.3 | |