| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said flatly [flatly]" |
| | dialogueSentences | 14 | | tagDensity | 0.786 | | leniency | 1 | | rawRatio | 0.091 | | effectiveRatio | 0.091 | |
| 87.03% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 771 | | totalAiIsmAdverbs | 2 | | found | | 0 | | adverb | "reluctantly" | | count | 1 |
| | 1 | |
| | highlights | | |
| 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) | |
| 48.12% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 771 | | totalAiIsms | 8 | | found | | 0 | | word | "the last thing" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | |
| | highlights | | 0 | "the last thing" | | 1 | "tension" | | 2 | "flickered" | | 3 | "silence" | | 4 | "could feel" | | 5 | "weight" | | 6 | "electric" | | 7 | "testament" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "The air was thick with" |
| |
| 88.77% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 46 | | matches | | 0 | "d in surprise" | | 1 | "g in anger" |
| |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 46 | | filterMatches | (empty) | | hedgeMatches | | |
| 89.37% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 49 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0.02 | | matches | | 0 | "Silly, [i]you two,[/i] [i]come close,[/i] the moment dragged on, the silence between them becoming more heavy." |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 770 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 69.48% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 621 | | uniqueNames | 5 | | maxNameDensity | 1.61 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Lucien | 7 | | Silly | 1 | | Lucian | 1 | | Aurora | 10 | | God | 1 |
| | persons | | 0 | "Lucien" | | 1 | "Lucian" | | 2 | "Aurora" |
| | places | (empty) | | globalScore | 0.695 | | windowScore | 0.833 | |
| 87.50% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 1 | | matches | | 0 | "as if dragging its feet" |
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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 | 770 | | matches | (empty) | |
| 98.64% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 49 | | matches | | |
| 33.95% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 13 | | mean | 59.23 | | std | 15.92 | | cv | 0.269 | | sampleLengths | | 0 | 85 | | 1 | 43 | | 2 | 59 | | 3 | 63 | | 4 | 22 | | 5 | 58 | | 6 | 83 | | 7 | 67 | | 8 | 72 | | 9 | 49 | | 10 | 53 | | 11 | 62 | | 12 | 54 |
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| 97.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 46 | | matches | | |
| 92.47% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 124 | | matches | | 0 | "were beginning" | | 1 | "were kissing" |
| |
| 84.55% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 49 | | ratio | 0.02 | | matches | | 0 | "Aurora glanced up, cool blue eyes meeting the heterochromatic startle of Lucien's gaze—a fierce amber and a singular, cavernous black." |
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| 95.61% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 622 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.04501607717041801 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.014469453376205787 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 49 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 49 | | mean | 15.71 | | std | 8.43 | | cv | 0.536 | | sampleLengths | | 0 | 10 | | 1 | 25 | | 2 | 20 | | 3 | 17 | | 4 | 13 | | 5 | 11 | | 6 | 14 | | 7 | 7 | | 8 | 11 | | 9 | 15 | | 10 | 19 | | 11 | 13 | | 12 | 12 | | 13 | 21 | | 14 | 21 | | 15 | 16 | | 16 | 5 | | 17 | 6 | | 18 | 16 | | 19 | 14 | | 20 | 12 | | 21 | 9 | | 22 | 23 | | 23 | 10 | | 24 | 14 | | 25 | 6 | | 26 | 4 | | 27 | 49 | | 28 | 12 | | 29 | 4 | | 30 | 14 | | 31 | 4 | | 32 | 10 | | 33 | 23 | | 34 | 17 | | 35 | 16 | | 36 | 39 | | 37 | 15 | | 38 | 17 | | 39 | 17 | | 40 | 14 | | 41 | 24 | | 42 | 15 | | 43 | 29 | | 44 | 16 | | 45 | 17 | | 46 | 15 | | 47 | 9 | | 48 | 30 |
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| 64.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4489795918367347 | | totalSentences | 49 | | uniqueOpeners | 22 | |
| 75.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 44 | | matches | | 0 | "Eventually, Lucian cleared his throat." |
| | ratio | 0.023 | |
| 74.55% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 44 | | matches | | 0 | "She leaned against the doorframe," | | 1 | "His expression was a masterclass" | | 2 | "he said, glance turning to" | | 3 | "It was too heavy, this" | | 4 | "she teased, nuzzling in for" | | 5 | "he started, gaze darting away" | | 6 | "It was horrifyingly truthful, to" | | 7 | "She could see the surprise" | | 8 | "she said flatly, accusation laced" | | 9 | "Her eyes bore into his," | | 10 | "he breathed, reaching out to" | | 11 | "It was the first kiss," | | 12 | "It was a promise and" | | 13 | "He held her face without" | | 14 | "It was all she could" | | 15 | "he murmured, pressing his forehead" |
| | ratio | 0.364 | |
| 39.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 37 | | totalSentences | 44 | | matches | | 0 | "The door creaked open reluctantly," | | 1 | "The hesitation was almost as" | | 2 | "Aurora glanced up, cool blue" | | 3 | "The lighting was muted, but" | | 4 | "The last thing either of" | | 5 | "Aurora mumbled, shaking her head" | | 6 | "She leaned against the doorframe," | | 7 | "Lucien, on the other hand," | | 8 | "His expression was a masterclass" | | 9 | "he said, glance turning to" | | 10 | "There had been heat in" | | 11 | "It was too heavy, this" | | 12 | "Aurora exhaled, trying not to" | | 13 | "she teased, nuzzling in for" | | 14 | "Lucien's expression flickered towards a" | | 15 | "he started, gaze darting away" | | 16 | "Aurora snorted, pushing away from" | | 17 | "The air was thick with" | | 18 | "Lucien nodded, still struggling to" | | 19 | "It was horrifyingly truthful, to" |
| | ratio | 0.841 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 44 | | matches | | 0 | "Yet, despite the quip, something" |
| | ratio | 0.023 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 2 | | matches | | 0 | "The hesitation was almost as pregnant as the awkward pause that followed, neither of them quite ready to face the other after all this time." | | 1 | "The thing that could get him killed, was that he kept his gaze locked with hers, as they both stood locked and fighting, warriors at the gates of heartaches jus…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 3 | | matches | | 0 | "he said, glance turning to annoyance" | | 1 | "he started, gaze darting away" | | 2 | "Aurora said, her voice breaking a bit" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 6 | | fancyTags | | 0 | "Aurora mumbled (mumble)" | | 1 | "she teased (tease)" | | 2 | "she quipped (quip)" | | 3 | "she hissed (hiss)" | | 4 | "he breathed (breathe)" | | 5 | "he murmured (murmur)" |
| | dialogueSentences | 14 | | tagDensity | 0.643 | | leniency | 1 | | rawRatio | 0.667 | | effectiveRatio | 0.667 | |