| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 43 | | tagDensity | 0.186 | | leniency | 0.372 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1160 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 48.28% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1160 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "perfect" | | 1 | "traced" | | 2 | "familiar" | | 3 | "flickered" | | 4 | "calculated" | | 5 | "stomach" | | 6 | "whisper" | | 7 | "sentinel" | | 8 | "silence" | | 9 | "looming" |
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| 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 | 71 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 71 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 105 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1155 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 770 | | uniqueNames | 4 | | maxNameDensity | 0.78 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.866 | | wordCount | 1155 | | matches | | 0 | "Not like a panicked flight with nothing but a rucksack" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 105 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 22.21 | | std | 19.05 | | cv | 0.858 | | sampleLengths | | 0 | 58 | | 1 | 1 | | 2 | 3 | | 3 | 10 | | 4 | 4 | | 5 | 85 | | 6 | 1 | | 7 | 15 | | 8 | 20 | | 9 | 2 | | 10 | 44 | | 11 | 3 | | 12 | 39 | | 13 | 47 | | 14 | 2 | | 15 | 27 | | 16 | 10 | | 17 | 16 | | 18 | 40 | | 19 | 33 | | 20 | 42 | | 21 | 3 | | 22 | 20 | | 23 | 42 | | 24 | 5 | | 25 | 28 | | 26 | 1 | | 27 | 45 | | 28 | 12 | | 29 | 38 | | 30 | 4 | | 31 | 5 | | 32 | 32 | | 33 | 4 | | 34 | 29 | | 35 | 4 | | 36 | 38 | | 37 | 37 | | 38 | 5 | | 39 | 11 | | 40 | 32 | | 41 | 9 | | 42 | 6 | | 43 | 54 | | 44 | 4 | | 45 | 10 | | 46 | 43 | | 47 | 23 | | 48 | 44 | | 49 | 23 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 71 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 118 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 105 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 435 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.0367816091954023 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.011494252873563218 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 105 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 105 | | mean | 11 | | std | 7.98 | | cv | 0.726 | | sampleLengths | | 0 | 14 | | 1 | 19 | | 2 | 25 | | 3 | 1 | | 4 | 3 | | 5 | 10 | | 6 | 4 | | 7 | 14 | | 8 | 14 | | 9 | 13 | | 10 | 3 | | 11 | 25 | | 12 | 10 | | 13 | 3 | | 14 | 3 | | 15 | 1 | | 16 | 9 | | 17 | 4 | | 18 | 2 | | 19 | 11 | | 20 | 9 | | 21 | 2 | | 22 | 19 | | 23 | 14 | | 24 | 11 | | 25 | 3 | | 26 | 20 | | 27 | 19 | | 28 | 16 | | 29 | 30 | | 30 | 1 | | 31 | 2 | | 32 | 8 | | 33 | 19 | | 34 | 6 | | 35 | 4 | | 36 | 16 | | 37 | 8 | | 38 | 1 | | 39 | 11 | | 40 | 20 | | 41 | 12 | | 42 | 10 | | 43 | 11 | | 44 | 17 | | 45 | 25 | | 46 | 3 | | 47 | 20 | | 48 | 5 | | 49 | 6 |
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| 62.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.3904761904761905 | | totalSentences | 105 | | uniqueOpeners | 41 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 67 | | matches | | 0 | "It was deeper now, smoothed" | | 1 | "She looked up slowly, schooling" | | 2 | "He was different." | | 3 | "His hair, once a shaggy" | | 4 | "He looked successful." | | 5 | "He looked wrong." | | 6 | "She did not say his" | | 7 | "It was a statement." | | 8 | "He smiled, a brilliant white" | | 9 | "He slid onto the stool" | | 10 | "He flagged Silas down with" | | 11 | "He moved with his usual" | | 12 | "He chuckled, a low, private" | | 13 | "Her fingers tightened around her" | | 14 | "He made it sound like" | | 15 | "he said, the old nickname" | | 16 | "He called it an adventure." | | 17 | "He named her terror a" | | 18 | "She took a slow, deep" | | 19 | "It anchored her." |
| | ratio | 0.552 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 67 | | matches | | 0 | "The glass left a perfect" | | 1 | "Aurora traced its edge with" | | 2 | "The low hum of conversation" | | 3 | "A shadow fell over her," | | 4 | "The voice was a ghost," | | 5 | "It was deeper now, smoothed" | | 6 | "She looked up slowly, schooling" | | 7 | "He was different." | | 8 | "The scruffy university student was" | | 9 | "His hair, once a shaggy" | | 10 | "He looked successful." | | 11 | "He looked wrong." | | 12 | "She did not say his" | | 13 | "It was a statement." | | 14 | "He smiled, a brilliant white" | | 15 | "He slid onto the stool" | | 16 | "The faint, expensive scent of" | | 17 | "He flagged Silas down with" | | 18 | "Silas’s hazel eyes flickered from" | | 19 | "He moved with his usual" |
| | ratio | 0.97 | |
| 74.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 67 | | matches | | 0 | "Before she could wrench her" |
| | ratio | 0.015 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 1 | | matches | | 0 | "The mask of the charming prodigal son slipped, just for a second, and she saw the cold, possessive thing that lived beneath it." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 4 | | matches | | 0 | "Evan said, his gaze sweeping over the bar’s interior" | | 1 | "he said, the old nickname slipping out, a calculated intimacy" | | 2 | "He leaned in, his voice dropping to a conspiratorial whisper" | | 3 | "Evan asked, his face a pantomime of concern" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 43 | | tagDensity | 0.093 | | leniency | 0.186 | | rawRatio | 0.25 | | effectiveRatio | 0.047 | |