| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 101 | | tagDensity | 0.079 | | leniency | 0.158 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1762 | | 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) | |
| 43.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1762 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "sanctuary" | | 1 | "weight" | | 2 | "navigated" | | 3 | "pulse" | | 4 | "electric" | | 5 | "traced" | | 6 | "loomed" | | 7 | "pulsed" | | 8 | "silence" | | 9 | "fractured" | | 10 | "peril" | | 11 | "warmth" | | 12 | "tension" | | 13 | "shattered" | | 14 | "velvet" |
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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 | 135 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 135 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 228 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1750 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 43.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 1028 | | uniqueNames | 4 | | maxNameDensity | 2.14 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 22 | | Lucien | 20 | | Ptolemy | 6 | | Eva | 2 |
| | persons | | 0 | "Rory" | | 1 | "Lucien" | | 2 | "Ptolemy" | | 3 | "Eva" |
| | places | (empty) | | globalScore | 0.43 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 94 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like polished stone" |
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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 | 1750 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 228 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 142 | | mean | 12.32 | | std | 10.19 | | cv | 0.827 | | sampleLengths | | 0 | 44 | | 1 | 34 | | 2 | 5 | | 3 | 44 | | 4 | 12 | | 5 | 2 | | 6 | 9 | | 7 | 3 | | 8 | 43 | | 9 | 4 | | 10 | 5 | | 11 | 50 | | 12 | 6 | | 13 | 12 | | 14 | 21 | | 15 | 3 | | 16 | 22 | | 17 | 6 | | 18 | 11 | | 19 | 13 | | 20 | 20 | | 21 | 12 | | 22 | 10 | | 23 | 5 | | 24 | 14 | | 25 | 27 | | 26 | 23 | | 27 | 11 | | 28 | 8 | | 29 | 10 | | 30 | 26 | | 31 | 5 | | 32 | 8 | | 33 | 11 | | 34 | 4 | | 35 | 4 | | 36 | 15 | | 37 | 38 | | 38 | 14 | | 39 | 12 | | 40 | 11 | | 41 | 2 | | 42 | 16 | | 43 | 1 | | 44 | 17 | | 45 | 21 | | 46 | 1 | | 47 | 10 | | 48 | 18 | | 49 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 135 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 173 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 228 | | ratio | 0.004 | | matches | | 0 | "Lucien brought the storm inside—a mixture of cold rain, crushed mint, and sulfur." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1036 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.013513513513513514 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 228 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 228 | | mean | 7.68 | | std | 4.37 | | cv | 0.569 | | sampleLengths | | 0 | 8 | | 1 | 22 | | 2 | 6 | | 3 | 8 | | 4 | 11 | | 5 | 8 | | 6 | 15 | | 7 | 5 | | 8 | 11 | | 9 | 6 | | 10 | 11 | | 11 | 8 | | 12 | 8 | | 13 | 6 | | 14 | 6 | | 15 | 2 | | 16 | 9 | | 17 | 3 | | 18 | 4 | | 19 | 5 | | 20 | 9 | | 21 | 12 | | 22 | 13 | | 23 | 4 | | 24 | 5 | | 25 | 7 | | 26 | 10 | | 27 | 12 | | 28 | 9 | | 29 | 12 | | 30 | 6 | | 31 | 12 | | 32 | 6 | | 33 | 6 | | 34 | 9 | | 35 | 3 | | 36 | 4 | | 37 | 18 | | 38 | 6 | | 39 | 11 | | 40 | 13 | | 41 | 16 | | 42 | 4 | | 43 | 7 | | 44 | 5 | | 45 | 10 | | 46 | 5 | | 47 | 7 | | 48 | 7 | | 49 | 5 |
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| 43.42% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.27631578947368424 | | totalSentences | 228 | | uniqueOpeners | 63 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 129 | | matches | (empty) | | ratio | 0 | |
| 86.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 129 | | matches | | 0 | "She pulled the door open." | | 1 | "He crossed the threshold." | | 2 | "He leaned his weight onto" | | 3 | "He navigated the obstacle course" | | 4 | "She drove the three deadbolts" | | 5 | "He straightened his posture." | | 6 | "His thumb pinpointed the crescent-shaped" | | 7 | "She froze in place." | | 8 | "He stepped into her personal" | | 9 | "His chest rose and fell" | | 10 | "His thumb traced the curved" | | 11 | "She ripped her arm away" | | 12 | "He brushed a speck of" | | 13 | "Her fingers dug into the" | | 14 | "She pushed the memory away." | | 15 | "He reached out to trace" | | 16 | "Her shoulder blades hit the" | | 17 | "He gathered the fallen literature" | | 18 | "He stood up flat against" | | 19 | "She inhaled the sharp scent" |
| | ratio | 0.333 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 126 | | totalSentences | 129 | | matches | | 0 | "The bottom deadbolt stuck against" | | 1 | "Rory jammed the brass key" | | 2 | "A heavy metallic clank signaled" | | 3 | "Ptolemy wove his bulky orange" | | 4 | "A deep vibrato rattled the" | | 5 | "The sharp aroma of toasted" | | 6 | "She pulled the door open." | | 7 | "A tailored charcoal suit absorbed" | | 8 | "Lucien stood in the narrow" | | 9 | "Both hands rested on the" | | 10 | "Rain darkened the broad shoulders" | | 11 | "The black eye offered a" | | 12 | "He crossed the threshold." | | 13 | "The movement pushed Rory backward." | | 14 | "Eva’s cramped one-bedroom flat possessed" | | 15 | "Stacks of leather-bound grimoires, assorted" | | 16 | "Lucien brought the storm inside—a" | | 17 | "He leaned his weight onto" | | 18 | "The concealed blade rattled inside" | | 19 | "He navigated the obstacle course" |
| | ratio | 0.977 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 129 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 90.59% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 6 | | fancyTags | | 0 | "Rory muttered (mutter)" | | 1 | "Lucien continued (continue)" | | 2 | "Lucien noted (note)" | | 3 | "she admitted (admit)" | | 4 | "Rory murmured (murmur)" | | 5 | "Lucien warned (warn)" |
| | dialogueSentences | 101 | | tagDensity | 0.059 | | leniency | 0.119 | | rawRatio | 1 | | effectiveRatio | 0.119 | |