| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 2 | | adverbTags | | 0 | "they said softly [softly]" | | 1 | "Isolde said quietly [quietly]" |
| | dialogueSentences | 18 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.222 | | effectiveRatio | 0.222 | |
| 83.62% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 916 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "quickly" | | 1 | "softly" | | 2 | "suddenly" |
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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) | |
| 72.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 916 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "resolved" | | 1 | "pulse" | | 2 | "rhythmic" | | 3 | "warmth" | | 4 | "pulsed" |
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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 | 1 | | narrationSentences | 52 | | matches | | |
| 87.91% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 52 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 61 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 916 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 90.87% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 761 | | uniqueNames | 7 | | maxNameDensity | 1.18 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Isolde | 8 | | Seer | 2 | | Fae | 1 | | Heartstone | 1 | | London | 1 | | Rory | 9 | | Nyx | 5 |
| | persons | | 0 | "Isolde" | | 1 | "Seer" | | 2 | "Rory" | | 3 | "Nyx" |
| | places | | | globalScore | 0.909 | | windowScore | 1 | |
| 89.02% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 41 | | glossingSentenceCount | 1 | | matches | | 0 | "quite a laugh and turned back to the path" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 2.183 | | wordCount | 916 | | matches | | 0 | "not large, but it did not seem to have edges" | | 1 | "not wilt, but they do remember who has touched them" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 61 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 21 | | mean | 43.62 | | std | 29.33 | | cv | 0.672 | | sampleLengths | | 0 | 63 | | 1 | 12 | | 2 | 75 | | 3 | 66 | | 4 | 15 | | 5 | 3 | | 6 | 10 | | 7 | 98 | | 8 | 10 | | 9 | 92 | | 10 | 51 | | 11 | 7 | | 12 | 32 | | 13 | 64 | | 14 | 43 | | 15 | 74 | | 16 | 16 | | 17 | 42 | | 18 | 23 | | 19 | 77 | | 20 | 43 |
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| 78.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 52 | | matches | | 0 | "been ten" | | 1 | "were stretched" | | 2 | "was edged" | | 3 | "was surprised" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 123 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 61 | | ratio | 0 | | matches | (empty) | |
| 91.16% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 763 | | adjectiveStacks | 1 | | stackExamples | | 0 | "white star-shaped blooms" |
| | adverbCount | 33 | | adverbRatio | 0.04325032765399738 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.010484927916120577 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 61 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 61 | | mean | 15.02 | | std | 10.12 | | cv | 0.674 | | sampleLengths | | 0 | 27 | | 1 | 6 | | 2 | 1 | | 3 | 29 | | 4 | 8 | | 5 | 4 | | 6 | 21 | | 7 | 9 | | 8 | 24 | | 9 | 13 | | 10 | 8 | | 11 | 5 | | 12 | 31 | | 13 | 30 | | 14 | 4 | | 15 | 11 | | 16 | 3 | | 17 | 10 | | 18 | 14 | | 19 | 21 | | 20 | 4 | | 21 | 29 | | 22 | 12 | | 23 | 9 | | 24 | 9 | | 25 | 10 | | 26 | 13 | | 27 | 39 | | 28 | 28 | | 29 | 12 | | 30 | 6 | | 31 | 29 | | 32 | 16 | | 33 | 7 | | 34 | 24 | | 35 | 8 | | 36 | 13 | | 37 | 34 | | 38 | 17 | | 39 | 20 | | 40 | 13 | | 41 | 4 | | 42 | 6 | | 43 | 2 | | 44 | 25 | | 45 | 15 | | 46 | 22 | | 47 | 10 | | 48 | 6 | | 49 | 10 |
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| 77.60% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.47540983606557374 | | totalSentences | 61 | | uniqueOpeners | 29 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 47 | | matches | | 0 | "Then the trees opened, and" | | 1 | "Somewhere far below, faint and" | | 2 | "Then she followed the Seer" |
| | ratio | 0.064 | |
| 92.34% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 47 | | matches | | 0 | "She was sure there had" | | 1 | "Her feet made no sound" | | 2 | "It was the sort of" | | 3 | "Her left wrist ached faintly," | | 4 | "She flexed her fingers." | | 5 | "It had been quiet all" | | 6 | "She had half hoped it" | | 7 | "She had stopped at the" | | 8 | "She stood quickly, shoved her" | | 9 | "They did not move, which" | | 10 | "they said softly" | | 11 | "It was amber, warm and" | | 12 | "It was not painful, only" | | 13 | "She pressed her palm over" | | 14 | "She turned toward the split" |
| | ratio | 0.319 | |
| 34.47% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 47 | | matches | | 0 | "The oak stones stood at" | | 1 | "Rory counted them without meaning" | | 2 | "She was sure there had" | | 3 | "Isolde said, not looking back" | | 4 | "The Seer walked ahead of" | | 5 | "Her feet made no sound" | | 6 | "Rory watched for the faint" | | 7 | "It was the sort of" | | 8 | "Nyx drifted at the rear." | | 9 | "Rory felt rather than saw" | | 10 | "The voice seemed to arrive" | | 11 | "Rory huffed something that wasn't" | | 12 | "Her left wrist ached faintly," | | 13 | "She flexed her fingers." | | 14 | "The Fae blade sat snug" | | 15 | "It had been quiet all" | | 16 | "She had half hoped it" | | 17 | "The clearing was not large," | | 18 | "The grass rolled away in" | | 19 | "Frost should have been silvering" |
| | ratio | 0.851 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 47 | | matches | | | ratio | 0.021 | |
| 75.89% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 3 | | matches | | 0 | "Rory felt rather than saw them: a cooling at her back, a stretch of shadow under the trees that lingered a half-second too long after the trunks above had moved…" | | 1 | "The grass rolled away in soft folds, and every fold was crowded with flowers: foxglove and primrose, harebells, clusters of white star-shaped blooms she didn't …" | | 2 | "Rory took one last look at the amber light, at the chiming flowers, at the shadow that was Nyx keeping watch beside her." |
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| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 2 | | matches | | 0 | "Isolde said, not looking back" | | 1 | "She turned, and the light caught her silver hair like spun wire" |
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| 94.44% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | 0 | "Nyx whispered (whisper)" |
| | dialogueSentences | 18 | | tagDensity | 0.389 | | leniency | 0.778 | | rawRatio | 0.143 | | effectiveRatio | 0.111 | |