| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said finally [finally]" | | 1 | "she said slowly [slowly]" |
| | dialogueSentences | 58 | | tagDensity | 0.31 | | leniency | 0.621 | | rawRatio | 0.111 | | effectiveRatio | 0.069 | |
| 76.58% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1281 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "suddenly" | | 1 | "really" | | 2 | "perfectly" | | 3 | "softly" | | 4 | "slowly" |
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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) | |
| 68.77% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1281 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "charged" | | 1 | "eyebrow" | | 2 | "flicked" | | 3 | "unspoken" | | 4 | "raced" | | 5 | "familiar" | | 6 | "silence" | | 7 | "determined" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 84 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 84 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 122 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1276 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 817 | | uniqueNames | 7 | | maxNameDensity | 2.69 | | worstName | "Rory" | | maxWindowNameDensity | 5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 22 | | Lucien | 13 | | Moreau | 1 | | East | 1 | | London | 1 | | Mayfair | 1 | | Eva | 10 |
| | persons | | 0 | "Rory" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Eva" |
| | places | | 0 | "East" | | 1 | "London" | | 2 | "Mayfair" |
| | globalScore | 0.154 | | windowScore | 0 | |
| 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 | 0 | | per1kWords | 0 | | wordCount | 1276 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 122 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 65 | | mean | 19.63 | | std | 12.28 | | cv | 0.625 | | sampleLengths | | 0 | 50 | | 1 | 8 | | 2 | 6 | | 3 | 17 | | 4 | 47 | | 5 | 38 | | 6 | 16 | | 7 | 28 | | 8 | 46 | | 9 | 15 | | 10 | 6 | | 11 | 35 | | 12 | 18 | | 13 | 13 | | 14 | 32 | | 15 | 35 | | 16 | 6 | | 17 | 7 | | 18 | 7 | | 19 | 17 | | 20 | 23 | | 21 | 23 | | 22 | 23 | | 23 | 16 | | 24 | 20 | | 25 | 53 | | 26 | 25 | | 27 | 27 | | 28 | 17 | | 29 | 25 | | 30 | 17 | | 31 | 18 | | 32 | 23 | | 33 | 13 | | 34 | 14 | | 35 | 14 | | 36 | 8 | | 37 | 9 | | 38 | 37 | | 39 | 8 | | 40 | 37 | | 41 | 9 | | 42 | 9 | | 43 | 18 | | 44 | 34 | | 45 | 11 | | 46 | 11 | | 47 | 15 | | 48 | 12 | | 49 | 11 |
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| 96.91% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 84 | | matches | | 0 | "was dressed" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 158 | | matches | | 0 | "was settling" | | 1 | "was, standing" |
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| 96.02% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 122 | | ratio | 0.016 | | matches | | 0 | "But there were shadows under his heterochromatic eyes—one amber, one black—that she didn't remember from before." | | 1 | "Seeing him again, feeling that familiar pull, remembering how his hands felt on her skin, how his voice sounded when he whispered her name—" |
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| 96.59% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 820 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.04390243902439024 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.018292682926829267 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 122 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 122 | | mean | 10.46 | | std | 7 | | cv | 0.67 | | sampleLengths | | 0 | 27 | | 1 | 13 | | 2 | 10 | | 3 | 8 | | 4 | 6 | | 5 | 6 | | 6 | 4 | | 7 | 7 | | 8 | 9 | | 9 | 38 | | 10 | 22 | | 11 | 16 | | 12 | 11 | | 13 | 5 | | 14 | 14 | | 15 | 14 | | 16 | 2 | | 17 | 22 | | 18 | 12 | | 19 | 10 | | 20 | 15 | | 21 | 3 | | 22 | 3 | | 23 | 14 | | 24 | 21 | | 25 | 14 | | 26 | 4 | | 27 | 6 | | 28 | 7 | | 29 | 19 | | 30 | 13 | | 31 | 17 | | 32 | 18 | | 33 | 6 | | 34 | 3 | | 35 | 4 | | 36 | 7 | | 37 | 9 | | 38 | 8 | | 39 | 7 | | 40 | 16 | | 41 | 15 | | 42 | 1 | | 43 | 7 | | 44 | 10 | | 45 | 13 | | 46 | 7 | | 47 | 9 | | 48 | 11 | | 49 | 9 |
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| 49.18% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3442622950819672 | | totalSentences | 122 | | uniqueOpeners | 42 | |
| 45.05% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 74 | | matches | | 0 | "Maybe now she'd finally get" |
| | ratio | 0.014 | |
| 90.27% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 74 | | matches | | 0 | "She frowned at the interruption," | | 1 | "she called through the door" | | 2 | "She knew that voice." | | 3 | "She fumbled with the locks," | | 4 | "He was dressed in one" | | 5 | "she said, her voice coming" | | 6 | "He held up a bottle" | | 7 | "He'd tried to stop her," | | 8 | "She'd left his flat in" | | 9 | "She stepped aside." | | 10 | "They sat on opposite ends" | | 11 | "He smiled then, but it" | | 12 | "He leaned back against the" | | 13 | "She looked from Rory's flushed" | | 14 | "She opened her mouth to" | | 15 | "She couldn't do it." | | 16 | "She had to be strong." | | 17 | "she said finally" | | 18 | "He moved toward the door" | | 19 | "Her heart ached with possibilities." |
| | ratio | 0.324 | |
| 20.81% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 74 | | matches | | 0 | "The knock came at half" | | 1 | "She frowned at the interruption," | | 2 | "The peephole revealed nothing but" | | 3 | "she called through the door" | | 4 | "Rory's heart stuttered in her" | | 5 | "She knew that voice." | | 6 | "She fumbled with the locks," | | 7 | "He was dressed in one" | | 8 | "she said, her voice coming" | | 9 | "He held up a bottle" | | 10 | "The last time they'd seen" | | 11 | "He'd tried to stop her," | | 12 | "She'd left his flat in" | | 13 | "She stepped aside." | | 14 | "The flat was small, cluttered" | | 15 | "Ptolemy, Eva's tabby cat, raised" | | 16 | "Lucien said, though his gaze" | | 17 | "Rory busied herself finding a" | | 18 | "The words were soft, almost" | | 19 | "They sat on opposite ends" |
| | ratio | 0.878 | |
| 67.57% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 74 | | matches | | 0 | "Now here he was, standing" |
| | ratio | 0.014 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 3 | | matches | | 0 | "she said, her voice coming out steadier than she felt" | | 1 | "Lucien said, though his gaze lingered on the stacks of legal textbooks" | | 2 | "Eva's gaze sharpened, the bottle of wine, the charged atmosphere" |
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| 98.28% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 3 | | fancyTags | | 0 | "Rory clarified (clarify)" | | 1 | "Rory pressed (press)" | | 2 | "Rory confirmed (confirm)" |
| | dialogueSentences | 58 | | tagDensity | 0.19 | | leniency | 0.379 | | rawRatio | 0.273 | | effectiveRatio | 0.103 | |