| 88.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | 0 | "Behind her Isolde said softly [softly]" |
| | dialogueSentences | 18 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0.125 | | effectiveRatio | 0.111 | |
| 78.72% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 940 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "very" | | 1 | "truly" | | 2 | "perfectly" | | 3 | "softly" |
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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) | |
| 78.72% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 940 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "resolved" | | 1 | "gloom" | | 2 | "stomach" | | 3 | "weight" |
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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 | 48 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 48 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 57 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 70 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 24 | | totalWords | 940 | | ratio | 0.026 | | matches | | 0 | "you will need it, and you will not need it for a long while, and you will be glad of it when you do." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 830 | | uniqueNames | 10 | | maxNameDensity | 1.45 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Nyx | 4 | | Isolde | 7 | | Varga | 1 | | Rory | 12 | | October | 1 | | Richmond | 1 | | Gate | 1 | | Heartstone | 1 | | Dymas | 2 | | Fae | 1 |
| | persons | | 0 | "Nyx" | | 1 | "Isolde" | | 2 | "Varga" | | 3 | "Rory" |
| | places | | | globalScore | 0.777 | | windowScore | 0.667 | |
| 78.57% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 35 | | glossingSentenceCount | 1 | | matches | | |
| 93.62% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.064 | | wordCount | 940 | | matches | | 0 | "not a bird at all but a voice, pitched too high for her to hear clearly" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 57 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 21 | | mean | 44.76 | | std | 36.55 | | cv | 0.816 | | sampleLengths | | 0 | 76 | | 1 | 31 | | 2 | 11 | | 3 | 7 | | 4 | 87 | | 5 | 76 | | 6 | 74 | | 7 | 18 | | 8 | 5 | | 9 | 45 | | 10 | 76 | | 11 | 3 | | 12 | 21 | | 13 | 132 | | 14 | 87 | | 15 | 6 | | 16 | 17 | | 17 | 27 | | 18 | 87 | | 19 | 46 | | 20 | 8 |
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| 97.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 48 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 127 | | matches | | 0 | "was seeping" | | 1 | "was singing" | | 2 | "was telling" | | 3 | "was giving" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 57 | | ratio | 0 | | matches | (empty) | |
| 88.84% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 834 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 44 | | adverbRatio | 0.05275779376498801 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.011990407673860911 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 57 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 57 | | mean | 16.49 | | std | 14.44 | | cv | 0.876 | | sampleLengths | | 0 | 16 | | 1 | 26 | | 2 | 3 | | 3 | 31 | | 4 | 8 | | 5 | 16 | | 6 | 7 | | 7 | 8 | | 8 | 3 | | 9 | 7 | | 10 | 3 | | 11 | 46 | | 12 | 30 | | 13 | 7 | | 14 | 1 | | 15 | 8 | | 16 | 42 | | 17 | 26 | | 18 | 11 | | 19 | 23 | | 20 | 9 | | 21 | 1 | | 22 | 12 | | 23 | 18 | | 24 | 10 | | 25 | 8 | | 26 | 5 | | 27 | 32 | | 28 | 13 | | 29 | 15 | | 30 | 5 | | 31 | 7 | | 32 | 25 | | 33 | 18 | | 34 | 6 | | 35 | 3 | | 36 | 19 | | 37 | 2 | | 38 | 3 | | 39 | 8 | | 40 | 41 | | 41 | 21 | | 42 | 59 | | 43 | 18 | | 44 | 69 | | 45 | 6 | | 46 | 5 | | 47 | 12 | | 48 | 13 | | 49 | 14 |
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| 95.91% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5964912280701754 | | totalSentences | 57 | | uniqueOpeners | 34 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 42 | | matches | | 0 | "Then the shape thinned, and" | | 1 | "Only that the pendant knew" | | 2 | "Somewhere beyond the trees a" |
| | ratio | 0.071 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 8 | | totalSentences | 42 | | matches | | 0 | "She counted again to be" | | 1 | "She glanced sideways." | | 2 | "Her silver hair moved behind" | | 3 | "She lifted one foot and" | | 4 | "It had gone warm the" | | 5 | "They went on." | | 6 | "She noticed the hilt of" | | 7 | "Her reflection did not look" |
| | ratio | 0.19 | |
| 79.05% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 32 | | totalSentences | 42 | | matches | | 0 | "The standing stones rose out" | | 1 | "Rory counted them as she" | | 2 | "She counted again to be" | | 3 | "The voice came the way" | | 4 | "She glanced sideways." | | 5 | "Nyx had come out of" | | 6 | "Rory had stopped being surprised" | | 7 | "Her silver hair moved behind" | | 8 | "The sky here was the" | | 9 | "Rory looked down at the" | | 10 | "The grass was thick and" | | 11 | "She lifted one foot and" | | 12 | "Isolde left none at all," | | 13 | "Isolde said without turning" | | 14 | "The seer paused beneath a" | | 15 | "Rory touched the place under" | | 16 | "The silver chain was cool." | | 17 | "The stone beneath her fingers" | | 18 | "It had gone warm the" | | 19 | "Dymas, the thing had told" |
| | ratio | 0.762 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 42 | | matches | (empty) | | ratio | 0 | |
| 89.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 2 | | matches | | 0 | "The sky here was the colour of pewter cooling, with a single pale band near the horizon the shade of a sunrise that hadn't decided yet." | | 1 | "The pale light along its edge brightened, then dimmed, as the clearing ahead widened into a ring of older trees, their trunks blackened as if by some ancient fi…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |