| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "Rory said noncommittally [noncommittally]" |
| | dialogueSentences | 29 | | tagDensity | 0.414 | | leniency | 0.828 | | rawRatio | 0.083 | | effectiveRatio | 0.069 | |
| 79.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 965 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "carefully" | | 2 | "lazily" | | 3 | "really" |
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| 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) | |
| 68.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 965 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "warmth" | | 1 | "tension" | | 2 | "ensure" | | 3 | "comforting" | | 4 | "eyebrow" | | 5 | "determined" |
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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 | 50 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 50 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 67 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 964 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 90.83% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 676 | | uniqueNames | 5 | | maxNameDensity | 1.18 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 1 | | Lucien | 4 | | Aurora | 3 | | Frenchman | 1 | | Rory | 8 |
| | persons | | 0 | "Eva" | | 1 | "Lucien" | | 2 | "Frenchman" | | 3 | "Rory" |
| | places | (empty) | | globalScore | 0.908 | | windowScore | 1 | |
| 30.95% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 2 | | matches | | 0 | "It was as if all the world’s most arcane knowledge had been hoarded here, in this small, musty space" | | 1 | "as if searching for the truth" |
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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 | 964 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 67 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 32.13 | | std | 23.67 | | cv | 0.737 | | sampleLengths | | 0 | 94 | | 1 | 77 | | 2 | 20 | | 3 | 54 | | 4 | 10 | | 5 | 5 | | 6 | 77 | | 7 | 16 | | 8 | 46 | | 9 | 22 | | 10 | 16 | | 11 | 57 | | 12 | 11 | | 13 | 65 | | 14 | 27 | | 15 | 35 | | 16 | 28 | | 17 | 19 | | 18 | 21 | | 19 | 45 | | 20 | 35 | | 21 | 16 | | 22 | 29 | | 23 | 2 | | 24 | 22 | | 25 | 8 | | 26 | 13 | | 27 | 8 | | 28 | 26 | | 29 | 60 |
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| 77.19% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 50 | | matches | | 0 | "were unlocked" | | 1 | "been invited" | | 2 | "been hoarded" | | 3 | "was determined" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 114 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 67 | | ratio | 0.015 | | matches | | 0 | "He had guessed correctly—her curiosity and financial situation meant she wasn’t going to turn him away." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 682 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.030791788856304986 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.01906158357771261 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 67 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 67 | | mean | 14.39 | | std | 7.07 | | cv | 0.492 | | sampleLengths | | 0 | 17 | | 1 | 16 | | 2 | 26 | | 3 | 7 | | 4 | 28 | | 5 | 18 | | 6 | 23 | | 7 | 9 | | 8 | 12 | | 9 | 15 | | 10 | 20 | | 11 | 21 | | 12 | 14 | | 13 | 19 | | 14 | 10 | | 15 | 5 | | 16 | 18 | | 17 | 24 | | 18 | 15 | | 19 | 20 | | 20 | 16 | | 21 | 15 | | 22 | 18 | | 23 | 13 | | 24 | 22 | | 25 | 12 | | 26 | 4 | | 27 | 7 | | 28 | 17 | | 29 | 18 | | 30 | 15 | | 31 | 11 | | 32 | 16 | | 33 | 17 | | 34 | 5 | | 35 | 15 | | 36 | 12 | | 37 | 6 | | 38 | 21 | | 39 | 25 | | 40 | 10 | | 41 | 17 | | 42 | 11 | | 43 | 8 | | 44 | 11 | | 45 | 21 | | 46 | 34 | | 47 | 6 | | 48 | 5 | | 49 | 16 |
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| 85.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5223880597014925 | | totalSentences | 67 | | uniqueOpeners | 35 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 48 | | matches | (empty) | | ratio | 0 | |
| 11.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 48 | | matches | | 0 | "It was a small miracle" | | 1 | "He had expected to find" | | 2 | "Her straight black hair was" | | 3 | "He wondered if anyone else" | | 4 | "she said, turning to lead" | | 5 | "It was as if all" | | 6 | "He carefully positioned himself on" | | 7 | "He noted the weariness in" | | 8 | "He unbuttoned his suit jacket" | | 9 | "Her voice was low, guarding" | | 10 | "He played his trump card," | | 11 | "She was a creature of" | | 12 | "Her shoulders relaxed just a" | | 13 | "he said, ignoring the question" | | 14 | "He allowed a hint of" | | 15 | "It was a subtle shift," | | 16 | "She studied him intently, her" | | 17 | "He shrugged, an elegant lift" | | 18 | "He reached into his pocket" | | 19 | "It landed with a satisfying" |
| | ratio | 0.521 | |
| 32.92% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 41 | | totalSentences | 48 | | matches | | 0 | "The door rattled as three" | | 1 | "It was a small miracle" | | 2 | "The Frenchman walked with purpose," | | 3 | "The other tapped impatiently against" | | 4 | "He had expected to find" | | 5 | "Aurora, or Rory, as he" | | 6 | "Her straight black hair was" | | 7 | "An ugly scar marred her" | | 8 | "He wondered if anyone else" | | 9 | "she said, turning to lead" | | 10 | "Every available surface was covered" | | 11 | "It was as if all" | | 12 | "Rory said noncommittally" | | 13 | "He carefully positioned himself on" | | 14 | "The scent of spices hung" | | 15 | "He noted the weariness in" | | 16 | "Rory had never been one" | | 17 | "Rory asked, her voice sharp" | | 18 | "Lucien allowed himself a small" | | 19 | "He unbuttoned his suit jacket" |
| | ratio | 0.854 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 48 | | matches | (empty) | | ratio | 0 | |
| 68.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 3 | | matches | | 0 | "It was as if all the world’s most arcane knowledge had been hoarded here, in this small, musty space." | | 1 | "The scent of spices hung heavy in the air, permeating his clothes, as if he had walked through a marketplace in an exotic land." | | 2 | "She studied him intently, her gaze flicking between his mismatched eyes as if searching for the truth." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 3 | | matches | | 0 | "she said, turning to lead him through the cramped flat" | | 1 | "Rory asked, her voice sharp" | | 2 | "Rory repeated, contemplative" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "Rory repeated (repeat)" |
| | dialogueSentences | 29 | | tagDensity | 0.207 | | leniency | 0.414 | | rawRatio | 0.167 | | effectiveRatio | 0.069 | |