| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 11 | | tagDensity | 0.091 | | leniency | 0.182 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1556 | | 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) | |
| 64.65% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1556 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "depths" | | 1 | "pulsed" | | 2 | "warmth" | | 3 | "weight" | | 4 | "stomach" | | 5 | "lurch" | | 6 | "familiar" | | 7 | "footsteps" |
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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 | 212 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 212 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 223 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1556 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1502 | | uniqueNames | 11 | | maxNameDensity | 1.4 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 3 | | Park | 1 | | Grove | 1 | | Heartstone | 1 | | December | 2 | | Eva | 6 | | Golden | 2 | | Empress | 2 | | Yu-Fei | 1 | | Hel | 1 | | Rory | 21 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Grove" | | 3 | "Hel" |
| | globalScore | 0.801 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 119 | | glossingSentenceCount | 1 | | matches | | 0 | "appeared again beside the next stone, longer than the object casting it" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1556 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 223 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 89 | | mean | 17.48 | | std | 14.22 | | cv | 0.814 | | sampleLengths | | 0 | 43 | | 1 | 11 | | 2 | 30 | | 3 | 10 | | 4 | 57 | | 5 | 26 | | 6 | 17 | | 7 | 3 | | 8 | 44 | | 9 | 22 | | 10 | 9 | | 11 | 27 | | 12 | 1 | | 13 | 8 | | 14 | 42 | | 15 | 7 | | 16 | 3 | | 17 | 56 | | 18 | 33 | | 19 | 45 | | 20 | 5 | | 21 | 1 | | 22 | 14 | | 23 | 1 | | 24 | 6 | | 25 | 27 | | 26 | 21 | | 27 | 15 | | 28 | 14 | | 29 | 20 | | 30 | 8 | | 31 | 2 | | 32 | 13 | | 33 | 14 | | 34 | 26 | | 35 | 21 | | 36 | 43 | | 37 | 4 | | 38 | 18 | | 39 | 7 | | 40 | 35 | | 41 | 8 | | 42 | 4 | | 43 | 4 | | 44 | 26 | | 45 | 31 | | 46 | 9 | | 47 | 7 | | 48 | 7 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 212 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 244 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 223 | | ratio | 0.004 | | matches | | 0 | "Richmond's gates always complained; she had delivered within the park twice and heard the hinges squeal." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1086 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.026703499079189688 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0009208103130755065 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 223 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 223 | | mean | 6.98 | | std | 4.44 | | cv | 0.636 | | sampleLengths | | 0 | 14 | | 1 | 24 | | 2 | 3 | | 3 | 2 | | 4 | 4 | | 5 | 5 | | 6 | 2 | | 7 | 15 | | 8 | 7 | | 9 | 8 | | 10 | 4 | | 11 | 6 | | 12 | 4 | | 13 | 16 | | 14 | 10 | | 15 | 5 | | 16 | 3 | | 17 | 6 | | 18 | 13 | | 19 | 6 | | 20 | 16 | | 21 | 4 | | 22 | 10 | | 23 | 7 | | 24 | 3 | | 25 | 8 | | 26 | 15 | | 27 | 2 | | 28 | 2 | | 29 | 2 | | 30 | 15 | | 31 | 11 | | 32 | 2 | | 33 | 9 | | 34 | 9 | | 35 | 4 | | 36 | 4 | | 37 | 2 | | 38 | 5 | | 39 | 12 | | 40 | 1 | | 41 | 4 | | 42 | 4 | | 43 | 8 | | 44 | 11 | | 45 | 5 | | 46 | 7 | | 47 | 11 | | 48 | 7 | | 49 | 3 |
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| 38.34% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 26 | | diversityRatio | 0.23766816143497757 | | totalSentences | 223 | | uniqueOpeners | 53 | |
| 35.46% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 188 | | matches | | 0 | "Then the Golden Empress bell." | | 1 | "Then Eva's laugh, cut short." |
| | ratio | 0.011 | |
| 98.72% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 57 | | totalSentences | 188 | | matches | | 0 | "She slipped the phone into" | | 1 | "She pushed the gate." | | 2 | "She kept her fingers on" | | 3 | "Her breath made no fog," | | 4 | "She noticed that too." | | 5 | "She wiped it away with" | | 6 | "They had no right to" | | 7 | "They tracked her passage with" | | 8 | "She left the bicycle against" | | 9 | "Her voice fell flat." | | 10 | "She took the pendant from" | | 11 | "It pulsed against her palm." | | 12 | "She drew a breath and" | | 13 | "They looked old enough to" | | 14 | "Their surfaces carried the grain" | | 15 | "They faced the centre, not" | | 16 | "He had wiped the same" | | 17 | "She had called him dramatic." | | 18 | "She did not call him" | | 19 | "Her hand closed around the" |
| | ratio | 0.303 | |
| 29.15% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 162 | | totalSentences | 188 | | matches | | 0 | "Rory leaned the bicycle against" | | 1 | "Eva's words sat in a" | | 2 | "The timestamp read 11:03." | | 3 | "The phone now read 12:04." | | 4 | "She slipped the phone into" | | 5 | "The crimson stone warmed against" | | 6 | "The silver chain carried no" | | 7 | "She pushed the gate." | | 8 | "The iron swung without a" | | 9 | "That stopped her hand." | | 10 | "Richmond's gates always complained; she" | | 11 | "She kept her fingers on" | | 12 | "The city had stepped back" | | 13 | "The air tasted of cold" | | 14 | "Her breath made no fog," | | 15 | "She noticed that too." | | 16 | "A strand of black hair" | | 17 | "She wiped it away with" | | 18 | "Rory stepped inside." | | 19 | "The path lay pale under" |
| | ratio | 0.862 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 188 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 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 | |