| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.048 | | leniency | 0.095 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1227 | | 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) | |
| 91.85% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1227 | | totalAiIsms | 2 | | found | | | highlights | | |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 122 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 122 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 142 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1227 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 31.37% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 1138 | | uniqueNames | 7 | | maxNameDensity | 2.37 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Rory" | | discoveredNames | | London | 2 | | Fae | 3 | | Isolde | 5 | | Silas | 1 | | Rory | 27 | | Nyx | 8 | | Shade | 2 |
| | persons | | 0 | "Isolde" | | 1 | "Silas" | | 2 | "Rory" | | 3 | "Nyx" | | 4 | "Shade" |
| | places | | | globalScore | 0.314 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 84 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 37.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.63 | | wordCount | 1227 | | matches | | 0 | "Not toward Rory, not toward the water, but toward the ground between them" | | 1 | "not toward the water, but toward the ground between them" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 142 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 25.04 | | std | 22.49 | | cv | 0.898 | | sampleLengths | | 0 | 36 | | 1 | 51 | | 2 | 42 | | 3 | 6 | | 4 | 19 | | 5 | 2 | | 6 | 4 | | 7 | 45 | | 8 | 41 | | 9 | 2 | | 10 | 15 | | 11 | 6 | | 12 | 30 | | 13 | 4 | | 14 | 4 | | 15 | 48 | | 16 | 52 | | 17 | 21 | | 18 | 6 | | 19 | 2 | | 20 | 75 | | 21 | 16 | | 22 | 4 | | 23 | 4 | | 24 | 69 | | 25 | 15 | | 26 | 2 | | 27 | 1 | | 28 | 3 | | 29 | 20 | | 30 | 10 | | 31 | 22 | | 32 | 5 | | 33 | 77 | | 34 | 27 | | 35 | 12 | | 36 | 51 | | 37 | 3 | | 38 | 5 | | 39 | 46 | | 40 | 37 | | 41 | 1 | | 42 | 41 | | 43 | 4 | | 44 | 65 | | 45 | 39 | | 46 | 51 | | 47 | 58 | | 48 | 28 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 122 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 161 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 142 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1140 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.02982456140350877 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 142 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 142 | | mean | 8.64 | | std | 5.96 | | cv | 0.69 | | sampleLengths | | 0 | 9 | | 1 | 8 | | 2 | 5 | | 3 | 7 | | 4 | 3 | | 5 | 4 | | 6 | 6 | | 7 | 16 | | 8 | 10 | | 9 | 19 | | 10 | 11 | | 11 | 8 | | 12 | 5 | | 13 | 18 | | 14 | 6 | | 15 | 4 | | 16 | 8 | | 17 | 2 | | 18 | 5 | | 19 | 2 | | 20 | 4 | | 21 | 9 | | 22 | 3 | | 23 | 33 | | 24 | 6 | | 25 | 5 | | 26 | 6 | | 27 | 24 | | 28 | 2 | | 29 | 7 | | 30 | 8 | | 31 | 6 | | 32 | 4 | | 33 | 11 | | 34 | 6 | | 35 | 9 | | 36 | 4 | | 37 | 4 | | 38 | 2 | | 39 | 8 | | 40 | 19 | | 41 | 19 | | 42 | 4 | | 43 | 6 | | 44 | 3 | | 45 | 19 | | 46 | 4 | | 47 | 4 | | 48 | 12 | | 49 | 7 |
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| 33.80% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 23 | | diversityRatio | 0.21830985915492956 | | totalSentences | 142 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 117 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 117 | | matches | | 0 | "Her phone screen went black." | | 1 | "She raised one long finger." | | 2 | "Their hand touched the bark." | | 3 | "They walked the path." | | 4 | "Their outline flickered." | | 5 | "It was amber, warm, and" | | 6 | "She turned away." | | 7 | "It was not bread from" | | 8 | "It rose from the black" | | 9 | "Their voice rolled like wind" | | 10 | "It struck the ground and" | | 11 | "Their body went solid at" | | 12 | "It landed with a small" | | 13 | "It was not the voice" | | 14 | "It was the voice of" | | 15 | "It spoke with a mouth" | | 16 | "It had grown there during" | | 17 | "She stood on the wet" |
| | ratio | 0.154 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 109 | | totalSentences | 117 | | matches | | 0 | "The first stone swallowed the" | | 1 | "The park air turned thick," | | 2 | "Her phone screen went black." | | 3 | "A minute passed." | | 4 | "The clock read 11:47." | | 5 | "Nyx crossed the stone line" | | 6 | "The shadows at their feet" | | 7 | "Rory watched the dark gather" | | 8 | "The Fae blade at her" | | 9 | "Isolde stood between two oaks," | | 10 | "The flowers around her ankles" | | 11 | "She raised one long finger." | | 12 | "The petals opened in a" | | 13 | "Rory took a step." | | 14 | "The ground under her boot" | | 15 | "The grass remembered being dry." | | 16 | "The sign at the grove" | | 17 | "Rory looked back." | | 18 | "The stone boundary stood behind" | | 19 | "Nyx moved to the nearest" |
| | ratio | 0.932 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 117 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 1 | | matches | | 0 | "The stone boundary stood behind them, but the sky above it had changed from grey dusk to a deeper blue, as if night had been painted over with a thin wash of in…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |