| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "she asked again [again]" |
| | dialogueSentences | 26 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.077 | | effectiveRatio | 0.077 | |
| 88.12% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 842 | | totalAiIsmAdverbs | 2 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
|
| | highlights | | 0 | "lightly" | | 1 | "barely above a whisper" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 842 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | word | "skipped a beat" | | count | 1 |
| | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | |
| | highlights | | 0 | "silk" | | 1 | "familiar" | | 2 | "magnetic" | | 3 | "reminder" | | 4 | "pulse" | | 5 | "quickened" | | 6 | "intensity" | | 7 | "enigmatic" | | 8 | "weight" | | 9 | "depths" | | 10 | "tinged" | | 11 | "resolve" | | 12 | "wavered" | | 13 | "shattered" | | 14 | "echoed" | | 15 | "skipped a beat" | | 16 | "wavering" | | 17 | "whisper" | | 18 | "unwavering" | | 19 | "navigate" | | 20 | "radiant" | | 21 | "beacon" | | 22 | "tension" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "the weight of his words" | | 1 | "hung in the air" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 57 | | matches | | |
| 67.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 57 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 70 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 843 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 95.21% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 730 | | uniqueNames | 6 | | maxNameDensity | 1.1 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Carter | 1 | | Eva | 1 | | Ptolemy | 1 | | Lucien | 7 | | Moreau | 1 | | Aurora | 8 |
| | persons | | 0 | "Carter" | | 1 | "Eva" | | 2 | "Ptolemy" | | 3 | "Lucien" | | 4 | "Moreau" | | 5 | "Aurora" |
| | places | (empty) | | globalScore | 0.952 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | 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 | 843 | | matches | (empty) | |
| 71.43% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 70 | | matches | | 0 | "trust that this" | | 1 | "trust that they" |
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| 98.59% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 27.19 | | std | 13.46 | | cv | 0.495 | | sampleLengths | | 0 | 57 | | 1 | 42 | | 2 | 27 | | 3 | 41 | | 4 | 23 | | 5 | 17 | | 6 | 30 | | 7 | 29 | | 8 | 43 | | 9 | 13 | | 10 | 13 | | 11 | 36 | | 12 | 15 | | 13 | 26 | | 14 | 20 | | 15 | 44 | | 16 | 11 | | 17 | 21 | | 18 | 39 | | 19 | 10 | | 20 | 36 | | 21 | 48 | | 22 | 11 | | 23 | 16 | | 24 | 34 | | 25 | 20 | | 26 | 15 | | 27 | 34 | | 28 | 10 | | 29 | 12 | | 30 | 50 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 57 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 125 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 70 | | ratio | 0.014 | | matches | | 0 | "The heterochromatic gaze — one amber, one black — locked onto hers, and she felt the familiar pull, the magnetic force that had once drawn her into his orbit." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 729 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.01646090534979424 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.00823045267489712 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 70 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 70 | | mean | 12.04 | | std | 5.24 | | cv | 0.435 | | sampleLengths | | 0 | 14 | | 1 | 14 | | 2 | 20 | | 3 | 9 | | 4 | 13 | | 5 | 29 | | 6 | 9 | | 7 | 18 | | 8 | 18 | | 9 | 23 | | 10 | 10 | | 11 | 13 | | 12 | 12 | | 13 | 5 | | 14 | 9 | | 15 | 19 | | 16 | 2 | | 17 | 15 | | 18 | 14 | | 19 | 2 | | 20 | 12 | | 21 | 20 | | 22 | 9 | | 23 | 8 | | 24 | 5 | | 25 | 8 | | 26 | 5 | | 27 | 10 | | 28 | 12 | | 29 | 14 | | 30 | 8 | | 31 | 7 | | 32 | 9 | | 33 | 14 | | 34 | 3 | | 35 | 9 | | 36 | 11 | | 37 | 18 | | 38 | 15 | | 39 | 11 | | 40 | 11 | | 41 | 12 | | 42 | 9 | | 43 | 14 | | 44 | 13 | | 45 | 12 | | 46 | 10 | | 47 | 10 | | 48 | 16 | | 49 | 10 |
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| 58.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.35714285714285715 | | totalSentences | 70 | | uniqueOpeners | 25 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 41.43% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 56 | | matches | | 0 | "She barely registered the feline's" | | 1 | "His presence was as unexpected" | | 2 | "he said, his voice smooth" | | 3 | "she replied, her voice steadier" | | 4 | "He stepped inside without waiting" | | 5 | "she said, closing the door" | | 6 | "he replied, his cane tapping" | | 7 | "She crossed her arms, a" | | 8 | "She remembered the last time" | | 9 | "she said, her voice firm" | | 10 | "he replied, his tone softening" | | 11 | "It was a thread woven" | | 12 | "She met his gaze, searching" | | 13 | "he said, his voice tinged" | | 14 | "She had missed him, missed" | | 15 | "she asked again, needing to" | | 16 | "He hesitated, a rare moment" | | 17 | "She wanted to believe him," | | 18 | "she echoed, the word a" | | 19 | "She had spent years convincing" |
| | ratio | 0.446 | |
| 13.57% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 56 | | matches | | 0 | "Aurora Carter's heart pounded as" | | 1 | "The tabby cat, Ptolemy, darted" | | 2 | "She barely registered the feline's" | | 3 | "His presence was as unexpected" | | 4 | "he said, his voice smooth" | | 5 | "The heterochromatic gaze — one" | | 6 | "she replied, her voice steadier" | | 7 | "The name tasted bittersweet on" | | 8 | "He stepped inside without waiting" | | 9 | "The scent of his cologne," | | 10 | "she said, closing the door" | | 11 | "The click of the lock" | | 12 | "he replied, his cane tapping" | | 13 | "Aurora's pulse quickened, a traitorous" | | 14 | "She crossed her arms, a" | | 15 | "Lucien's smile was enigmatic, a" | | 16 | "The words were loaded, heavy" | | 17 | "She remembered the last time" | | 18 | "Attraction had been the least" | | 19 | "she said, her voice firm" |
| | ratio | 0.893 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 84.94% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 3 | | matches | | 0 | "The heterochromatic gaze — one amber, one black — locked onto hers, and she felt the familiar pull, the magnetic force that had once drawn her into his orbit." | | 1 | "She crossed her arms, a defensive gesture that did little to shield her from the intensity of his gaze." | | 2 | "She remembered the last time they had seen each other, the argument that had left them both raw and exposed." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 9 | | matches | | 0 | "he said, his voice smooth and unhurried, like silk sliding over skin" | | 1 | "she replied, her voice steadier than she felt" | | 2 | "he replied, his cane tapping lightly against the wooden floor" | | 3 | "she said, her voice firm" | | 4 | "he replied, his tone softening" | | 5 | "she asked again, needing to understand his motives" | | 6 | "she asked, her voice barely above a whisper" | | 7 | "Lucien replied, his gaze unwavering" | | 8 | "she said, her voice steady and sure" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0 | | effectiveRatio | 0 | |