| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.257 | | leniency | 0.514 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 75.87% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 829 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "suddenly" | | 1 | "slightly" | | 2 | "sharply" |
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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) | |
| 21.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 829 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "weight" | | 1 | "flickered" | | 2 | "pulse" | | 3 | "silence" | | 4 | "unreadable" | | 5 | "rhythmic" | | 6 | "echoed" | | 7 | "flicked" | | 8 | "could feel" | | 9 | "stomach" | | 10 | "eyebrow" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 89 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 89 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 115 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 4 | | totalWords | 823 | | ratio | 0.005 | | matches | | 0 | "Rory." | | 1 | "Aurora." | | 2 | "Carter." | | 3 | "Lucien." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 77.43% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 689 | | uniqueNames | 2 | | maxNameDensity | 1.45 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.774 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | 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 | 823 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 115 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 16.8 | | std | 13.24 | | cv | 0.788 | | sampleLengths | | 0 | 55 | | 1 | 34 | | 2 | 4 | | 3 | 3 | | 4 | 40 | | 5 | 10 | | 6 | 42 | | 7 | 6 | | 8 | 30 | | 9 | 14 | | 10 | 48 | | 11 | 12 | | 12 | 21 | | 13 | 4 | | 14 | 23 | | 15 | 40 | | 16 | 11 | | 17 | 8 | | 18 | 7 | | 19 | 13 | | 20 | 24 | | 21 | 8 | | 22 | 11 | | 23 | 23 | | 24 | 17 | | 25 | 2 | | 26 | 7 | | 27 | 14 | | 28 | 10 | | 29 | 12 | | 30 | 39 | | 31 | 6 | | 32 | 9 | | 33 | 8 | | 34 | 36 | | 35 | 14 | | 36 | 10 | | 37 | 8 | | 38 | 8 | | 39 | 8 | | 40 | 14 | | 41 | 21 | | 42 | 14 | | 43 | 3 | | 44 | 16 | | 45 | 36 | | 46 | 4 | | 47 | 2 | | 48 | 14 |
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| 93.44% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 89 | | matches | | 0 | "was hidden" | | 1 | "was amused" | | 2 | "was pulled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 135 | | matches | (empty) | |
| 43.48% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 115 | | ratio | 0.035 | | matches | | 0 | "The air in the hallway shifted—cooler, sharper—like someone had just exhaled a breath of winter." | | 1 | "But the scent of him—leather and something darker, something that made her skin prickle—was already seeping into her, wrapping around her like a second skin." | | 2 | "She looked down at herself—her delivery uniform, the smudged makeup, the way her hair was pulled back in a messy knot." | | 3 | "But the way he looked at her—like she was the only thing in the room—made her stomach twist." |
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| 84.64% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 695 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 40 | | adverbRatio | 0.05755395683453238 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.015827338129496403 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 115 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 115 | | mean | 7.16 | | std | 5.75 | | cv | 0.803 | | sampleLengths | | 0 | 20 | | 1 | 20 | | 2 | 15 | | 3 | 8 | | 4 | 16 | | 5 | 4 | | 6 | 6 | | 7 | 4 | | 8 | 3 | | 9 | 20 | | 10 | 1 | | 11 | 2 | | 12 | 17 | | 13 | 5 | | 14 | 5 | | 15 | 3 | | 16 | 2 | | 17 | 27 | | 18 | 10 | | 19 | 6 | | 20 | 11 | | 21 | 8 | | 22 | 11 | | 23 | 9 | | 24 | 5 | | 25 | 3 | | 26 | 5 | | 27 | 15 | | 28 | 25 | | 29 | 5 | | 30 | 7 | | 31 | 8 | | 32 | 8 | | 33 | 5 | | 34 | 3 | | 35 | 1 | | 36 | 8 | | 37 | 15 | | 38 | 10 | | 39 | 7 | | 40 | 20 | | 41 | 3 | | 42 | 4 | | 43 | 7 | | 44 | 7 | | 45 | 1 | | 46 | 5 | | 47 | 2 | | 48 | 5 | | 49 | 6 |
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| 50.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3217391304347826 | | totalSentences | 115 | | uniqueOpeners | 37 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 77 | | matches | | 0 | "Then the light flickered." | | 1 | "Just lifted his cane and" | | 2 | "Then he finally looked at" | | 3 | "Just tilted his head, studying" | | 4 | "Instead, he reached into his" | | 5 | "Just stepped closer, the cane" | | 6 | "Instead, she stepped closer, the" |
| | ratio | 0.091 | |
| 53.77% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 77 | | matches | | 0 | "she muttered, fingers tightening around" | | 1 | "she breathed, voice raw" | | 2 | "He didn’t turn." | | 3 | "His amber eye caught the" | | 4 | "His lips quirked, just slightly," | | 5 | "he said, voice smooth as" | | 6 | "She should have walked away." | | 7 | "she repeated, softer now" | | 8 | "He finally turned, those eyes" | | 9 | "Her breath hitched." | | 10 | "His cane tapped again, a" | | 11 | "She swallowed hard." | | 12 | "His jaw tightened, just for" | | 13 | "She scoffed, stepping back instinctively." | | 14 | "He didn’t rise to it." | | 15 | "She looked down at herself—her" | | 16 | "His lips twitched." | | 17 | "He didn’t answer right away." | | 18 | "She stared at it." | | 19 | "His gaze flicked to hers," |
| | ratio | 0.416 | |
| 83.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 77 | | matches | | 0 | "The door creaked open before" | | 1 | "Rory froze mid-step, her delivery" | | 2 | "The air in the hallway" | | 3 | "she muttered, fingers tightening around" | | 4 | "The door swung wider, revealing" | | 5 | "A shadow moved." | | 6 | "Rory’s pulse hammered in her" | | 7 | "A cane tapped against the" | | 8 | "she breathed, voice raw" | | 9 | "The name tasted like ash." | | 10 | "He didn’t turn." | | 11 | "The silence stretched, thick with" | | 12 | "His amber eye caught the" | | 13 | "The black one was hidden" | | 14 | "His lips quirked, just slightly," | | 15 | "he said, voice smooth as" | | 16 | "Rory’s fingers twitched." | | 17 | "She should have walked away." | | 18 | "she repeated, softer now" | | 19 | "He finally turned, those eyes" |
| | ratio | 0.753 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 1 | | matches | | 0 | "But the scent of him—leather and something darker, something that made her skin prickle—was already seeping into her, wrapping around her like a second skin." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 5 | | matches | | 0 | "she muttered, fingers tightening around the strap" | | 1 | "she breathed, voice raw" | | 2 | "he said, voice smooth as aged whiskey" | | 3 | "she agreed, voice low" | | 4 | "she said, voice steadier than she felt" |
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| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 5 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she breathed (breathe)" | | 2 | "she repeated (repeat)" | | 3 | "she agreed (agree)" | | 4 | "he murmured (murmur)" |
| | dialogueSentences | 35 | | tagDensity | 0.229 | | leniency | 0.457 | | rawRatio | 0.625 | | effectiveRatio | 0.286 | |