| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1740 | | 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) | |
| 88.51% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1740 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "stomach" | | 1 | "pulse" | | 2 | "familiar" |
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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 | 114 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 114 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 217 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1740 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 1131 | | uniqueNames | 5 | | maxNameDensity | 0.97 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 10 | | Moreau | 1 | | Rory | 11 | | Eva | 2 | | Ptolemy | 7 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Rory" | | 3 | "Eva" | | 4 | "Ptolemy" |
| | places | (empty) | | globalScore | 1 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 84 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1740 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 217 | | matches | | 0 | "called that steadiness" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 142 | | mean | 12.25 | | std | 15.36 | | cv | 1.254 | | sampleLengths | | 0 | 74 | | 1 | 8 | | 2 | 6 | | 3 | 22 | | 4 | 9 | | 5 | 3 | | 6 | 4 | | 7 | 1 | | 8 | 33 | | 9 | 3 | | 10 | 8 | | 11 | 9 | | 12 | 4 | | 13 | 8 | | 14 | 42 | | 15 | 3 | | 16 | 12 | | 17 | 3 | | 18 | 7 | | 19 | 3 | | 20 | 9 | | 21 | 49 | | 22 | 24 | | 23 | 4 | | 24 | 7 | | 25 | 89 | | 26 | 1 | | 27 | 3 | | 28 | 10 | | 29 | 34 | | 30 | 1 | | 31 | 34 | | 32 | 22 | | 33 | 1 | | 34 | 4 | | 35 | 12 | | 36 | 5 | | 37 | 4 | | 38 | 54 | | 39 | 28 | | 40 | 8 | | 41 | 5 | | 42 | 5 | | 43 | 2 | | 44 | 3 | | 45 | 2 | | 46 | 13 | | 47 | 1 | | 48 | 1 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 114 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 189 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 217 | | ratio | 0.005 | | matches | | 0 | "The cut pulled at his skin; he kept his spine straight and his hands loose." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1134 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.02292768959435626 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.001763668430335097 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 217 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 217 | | mean | 8.02 | | std | 6.59 | | cv | 0.822 | | sampleLengths | | 0 | 27 | | 1 | 20 | | 2 | 27 | | 3 | 8 | | 4 | 6 | | 5 | 14 | | 6 | 2 | | 7 | 6 | | 8 | 9 | | 9 | 3 | | 10 | 4 | | 11 | 1 | | 12 | 13 | | 13 | 16 | | 14 | 4 | | 15 | 3 | | 16 | 8 | | 17 | 9 | | 18 | 4 | | 19 | 8 | | 20 | 7 | | 21 | 21 | | 22 | 14 | | 23 | 3 | | 24 | 12 | | 25 | 3 | | 26 | 7 | | 27 | 3 | | 28 | 9 | | 29 | 4 | | 30 | 20 | | 31 | 17 | | 32 | 8 | | 33 | 14 | | 34 | 4 | | 35 | 6 | | 36 | 4 | | 37 | 7 | | 38 | 40 | | 39 | 13 | | 40 | 12 | | 41 | 9 | | 42 | 15 | | 43 | 1 | | 44 | 3 | | 45 | 10 | | 46 | 9 | | 47 | 16 | | 48 | 9 | | 49 | 1 |
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| 44.47% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.2995391705069124 | | totalSentences | 217 | | uniqueOpeners | 65 | |
| 30.86% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 108 | | matches | | 0 | "Then she placed her fingers" |
| | ratio | 0.009 | |
| 31.11% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 51 | | totalSentences | 108 | | matches | | 0 | "Her straight black hair hung" | | 1 | "Her hand stayed on the" | | 2 | "His mouth curved, but the" | | 3 | "Her delivery jacket hung on" | | 4 | "She stared at him." | | 5 | "He let the cat claim" | | 6 | "She remembered the thin blade" | | 7 | "He set the bag of" | | 8 | "He sat on the edge" | | 9 | "She pulled her first-aid box" | | 10 | "His white shirt had gone" | | 11 | "He caught it one-handed and" | | 12 | "He worked the buttons with" | | 13 | "She looked away at the" | | 14 | "She knelt and opened the" | | 15 | "Her hands stayed steady." | | 16 | "He had once called that" | | 17 | "She had called his restraint" | | 18 | "She dabbed the cut." | | 19 | "He drew in a sharp" |
| | ratio | 0.472 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 101 | | totalSentences | 108 | | matches | | 0 | "Rory pulled the door open" | | 1 | "Her straight black hair hung" | | 2 | "The chain still held the" | | 3 | "Her hand stayed on the" | | 4 | "His mouth curved, but the" | | 5 | "Ptolemy squeezed between Rory's ankles," | | 6 | "Lucien lowered his gaze to" | | 7 | "Steam darkened the paper." | | 8 | "Rory kept her hand on" | | 9 | "Her delivery jacket hung on" | | 10 | "Lucien always knew how to" | | 11 | "She stared at him." | | 12 | "The memory sat between them," | | 13 | "Ptolemy wound around Lucien's trouser" | | 14 | "Lucien did not move." | | 15 | "He let the cat claim" | | 16 | "Rory undid the chain." | | 17 | "The flat took him in" | | 18 | "Lucien moved through the room" | | 19 | "The ivory head of his" |
| | ratio | 0.935 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 108 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |