| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 114 | | tagDensity | 0.096 | | leniency | 0.193 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1611 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 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) | |
| 72.07% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1611 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "flicked" | | 1 | "footsteps" | | 2 | "weight" | | 3 | "silence" | | 4 | "stomach" | | 5 | "measured" | | 6 | "warmth" |
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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 | 112 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 112 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 215 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1611 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 31 | | unquotedAttributions | 0 | | matches | (empty) | |
| 46.48% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 966 | | uniqueNames | 5 | | maxNameDensity | 2.07 | | worstName | "Lucien" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 20 | | Moreau | 1 | | Ptolemy | 4 | | Rory | 17 | | Eva | 3 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Ptolemy" | | 3 | "Rory" | | 4 | "Eva" |
| | places | (empty) | | globalScore | 0.465 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1611 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 215 | | matches | | 0 | "hated that she" | | 1 | "enough that she" | | 2 | "replayed that face" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 148 | | mean | 10.89 | | std | 11.11 | | cv | 1.021 | | sampleLengths | | 0 | 20 | | 1 | 18 | | 2 | 5 | | 3 | 18 | | 4 | 3 | | 5 | 11 | | 6 | 24 | | 7 | 1 | | 8 | 18 | | 9 | 2 | | 10 | 3 | | 11 | 5 | | 12 | 15 | | 13 | 27 | | 14 | 14 | | 15 | 19 | | 16 | 35 | | 17 | 6 | | 18 | 7 | | 19 | 6 | | 20 | 12 | | 21 | 5 | | 22 | 6 | | 23 | 6 | | 24 | 46 | | 25 | 4 | | 26 | 11 | | 27 | 4 | | 28 | 22 | | 29 | 4 | | 30 | 1 | | 31 | 5 | | 32 | 6 | | 33 | 7 | | 34 | 8 | | 35 | 19 | | 36 | 9 | | 37 | 8 | | 38 | 5 | | 39 | 3 | | 40 | 37 | | 41 | 9 | | 42 | 9 | | 43 | 19 | | 44 | 10 | | 45 | 7 | | 46 | 4 | | 47 | 4 | | 48 | 3 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 112 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 176 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 215 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 969 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.03199174406604747 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0020639834881320948 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 215 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 215 | | mean | 7.49 | | std | 5.22 | | cv | 0.697 | | sampleLengths | | 0 | 20 | | 1 | 7 | | 2 | 11 | | 3 | 5 | | 4 | 11 | | 5 | 7 | | 6 | 3 | | 7 | 11 | | 8 | 6 | | 9 | 10 | | 10 | 8 | | 11 | 1 | | 12 | 18 | | 13 | 2 | | 14 | 3 | | 15 | 5 | | 16 | 15 | | 17 | 4 | | 18 | 16 | | 19 | 7 | | 20 | 6 | | 21 | 8 | | 22 | 7 | | 23 | 12 | | 24 | 5 | | 25 | 9 | | 26 | 5 | | 27 | 16 | | 28 | 6 | | 29 | 7 | | 30 | 6 | | 31 | 12 | | 32 | 5 | | 33 | 4 | | 34 | 2 | | 35 | 6 | | 36 | 5 | | 37 | 17 | | 38 | 3 | | 39 | 21 | | 40 | 4 | | 41 | 7 | | 42 | 4 | | 43 | 4 | | 44 | 14 | | 45 | 8 | | 46 | 4 | | 47 | 1 | | 48 | 5 | | 49 | 6 |
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| 44.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.27906976744186046 | | totalSentences | 215 | | uniqueOpeners | 60 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 100 | | matches | | 0 | "Then she unhooked the chain" | | 1 | "Then the man went down" | | 2 | "Then she’d stopped." | | 3 | "Then he leaned forward, his" | | 4 | "Somewhere behind the bookcase, Ptolemy" |
| | ratio | 0.05 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 100 | | matches | | 0 | "His black eye stayed on" | | 1 | "She hated how he could" | | 2 | "His mouth tightened" | | 3 | "He didn’t comment." | | 4 | "His gaze followed the narrow" | | 5 | "His expression had gone blank" | | 6 | "She crossed to the tiny" | | 7 | "His jaw worked once." | | 8 | "He looked tired, and she" | | 9 | "He eased onto the edge" | | 10 | "His cane rested against his" | | 11 | "She cut the damp cuff" | | 12 | "His fingers rested on the" | | 13 | "His gaze lifted to hers." | | 14 | "She tightened the gauze." | | 15 | "He flinched, barely." | | 16 | "He didn’t look away." | | 17 | "She tucked the end of" | | 18 | "She pulled away." | | 19 | "His thumb brushed the edge" |
| | ratio | 0.29 | |
| 15.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 100 | | matches | | 0 | "The door opened on Lucien" | | 1 | "Rory kept one hand on" | | 2 | "Lucien’s amber eye flicked to" | | 3 | "His black eye stayed on" | | 4 | "Footsteps climbed the stairs below" | | 5 | "Lucien shifted his weight, ivory-handled" | | 6 | "A second set of steps" | | 7 | "She hated how he could" | | 8 | "Rory glanced past him." | | 9 | "The stairwell sat empty above" | | 10 | "The steps below continued, steady" | | 11 | "Lucien stumbled across the threshold." | | 12 | "Rory shut the door and" | | 13 | "Ptolemy hissed at the cane." | | 14 | "Lucien lifted it away from" | | 15 | "His mouth tightened" | | 16 | "A knock landed on the" | | 17 | "Ptolemy darted beneath the bookcase." | | 18 | "Rory stepped between Lucien and" | | 19 | "He didn’t comment." |
| | ratio | 0.89 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 100 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 1 | | fancyTags | | 0 | "Lucien murmured (murmur)" |
| | dialogueSentences | 114 | | tagDensity | 0.079 | | leniency | 0.158 | | rawRatio | 0.111 | | effectiveRatio | 0.018 | |