| 57.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 5 | | adverbTags | | 0 | "She stepped back [back]" | | 1 | "His thumb moved just [just]" | | 2 | "He stepped back [back]" | | 3 | "he said quietly [quietly]" | | 4 | "Lucien's fingers curled around [around]" |
| | dialogueSentences | 70 | | tagDensity | 0.386 | | leniency | 0.771 | | rawRatio | 0.185 | | effectiveRatio | 0.143 | |
| 86.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1836 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "suddenly" | | 1 | "slowly" | | 2 | "slightly" | | 3 | "carefully" | | 4 | "truly" |
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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) | |
| 72.77% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1836 | | totalAiIsms | 10 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | word | "down her spine" | | count | 1 |
| | 8 | |
| | highlights | | 0 | "echoed" | | 1 | "flicked" | | 2 | "navigating" | | 3 | "measured" | | 4 | "stomach" | | 5 | "pulse" | | 6 | "tension" | | 7 | "down her spine" | | 8 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 136 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 136 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 178 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1836 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 1228 | | uniqueNames | 15 | | maxNameDensity | 0.9 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Moreau | 2 | | Rory | 11 | | Didn | 1 | | Lucien | 10 | | London | 2 | | Evan | 2 | | Eva | 5 | | Ptolemy | 3 | | Embankment | 1 | | Oyster | 1 | | Tuesday | 1 | | Brick | 1 | | Lane | 1 | | Blackfriars | 1 | | Six | 3 |
| | persons | | 0 | "Moreau" | | 1 | "Rory" | | 2 | "Lucien" | | 3 | "Evan" | | 4 | "Eva" | | 5 | "Ptolemy" |
| | places | | 0 | "London" | | 1 | "Embankment" | | 2 | "Brick" | | 3 | "Lane" | | 4 | "Blackfriars" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 88 | | glossingSentenceCount | 1 | | matches | | 0 | "as if sensing she needed grounding" |
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| 91.07% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.089 | | wordCount | 1836 | | matches | | 0 | "Not close enough to touch, but enough" | | 1 | "not pulling away, but not pulling her closer either" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 178 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 67 | | mean | 27.4 | | std | 21.27 | | cv | 0.776 | | sampleLengths | | 0 | 38 | | 1 | 66 | | 2 | 14 | | 3 | 7 | | 4 | 20 | | 5 | 7 | | 6 | 46 | | 7 | 3 | | 8 | 1 | | 9 | 63 | | 10 | 31 | | 11 | 20 | | 12 | 13 | | 13 | 21 | | 14 | 76 | | 15 | 28 | | 16 | 28 | | 17 | 18 | | 18 | 11 | | 19 | 67 | | 20 | 7 | | 21 | 4 | | 22 | 14 | | 23 | 44 | | 24 | 3 | | 25 | 59 | | 26 | 44 | | 27 | 10 | | 28 | 42 | | 29 | 9 | | 30 | 69 | | 31 | 1 | | 32 | 22 | | 33 | 52 | | 34 | 5 | | 35 | 11 | | 36 | 40 | | 37 | 13 | | 38 | 24 | | 39 | 10 | | 40 | 44 | | 41 | 7 | | 42 | 41 | | 43 | 49 | | 44 | 3 | | 45 | 10 | | 46 | 18 | | 47 | 83 | | 48 | 12 | | 49 | 41 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 136 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 213 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 178 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1231 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 47 | | adverbRatio | 0.038180341186027617 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.00974817221770918 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 178 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 178 | | mean | 10.31 | | std | 7.63 | | cv | 0.739 | | sampleLengths | | 0 | 12 | | 1 | 20 | | 2 | 6 | | 3 | 6 | | 4 | 26 | | 5 | 3 | | 6 | 5 | | 7 | 14 | | 8 | 12 | | 9 | 11 | | 10 | 3 | | 11 | 7 | | 12 | 14 | | 13 | 4 | | 14 | 2 | | 15 | 7 | | 16 | 8 | | 17 | 7 | | 18 | 4 | | 19 | 18 | | 20 | 9 | | 21 | 3 | | 22 | 1 | | 23 | 5 | | 24 | 7 | | 25 | 17 | | 26 | 7 | | 27 | 22 | | 28 | 2 | | 29 | 3 | | 30 | 12 | | 31 | 19 | | 32 | 7 | | 33 | 13 | | 34 | 6 | | 35 | 7 | | 36 | 11 | | 37 | 10 | | 38 | 3 | | 39 | 4 | | 40 | 22 | | 41 | 5 | | 42 | 13 | | 43 | 29 | | 44 | 8 | | 45 | 4 | | 46 | 16 | | 47 | 4 | | 48 | 17 | | 49 | 1 |
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| 56.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.38764044943820225 | | totalSentences | 178 | | uniqueOpeners | 69 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 125 | | matches | | 0 | "Instead, she crossed to the" | | 1 | "Then he undid his tie" | | 2 | "Too many joints." | | 3 | "Too much shadow." | | 4 | "Somewhere below, dishes clattered in" | | 5 | "Then she crossed the room," |
| | ratio | 0.048 | |
| 66.40% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 48 | | totalSentences | 125 | | matches | | 0 | "He leaned against the doorframe," | | 1 | "His gaze flicked to the" | | 2 | "He didn't push the door" | | 3 | "He simply stood there, cane" | | 4 | "She'd always run." | | 5 | "His voice dropped" | | 6 | "She didn't know." | | 7 | "He'd saved her life twice." | | 8 | "He'd also lied to her" | | 9 | "It nearly undid her." | | 10 | "She thought of Eva's flat" | | 11 | "She stepped back, pulling the" | | 12 | "He slid through the doorway" | | 13 | "He surveyed the cluttered space," | | 14 | "It wasn't a question" | | 15 | "She saw it in the" | | 16 | "He looked up at her," | | 17 | "She'd considered going to that" | | 18 | "Her voice came out steadier" | | 19 | "He rose from the sofa" |
| | ratio | 0.384 | |
| 64.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 99 | | totalSentences | 125 | | matches | | 0 | "The deadbolt snapped back with" | | 1 | "Rory yanked the door open," | | 2 | "The words died on her" | | 3 | "Lucien Moreau filled the narrow" | | 4 | "He leaned against the doorframe," | | 5 | "A charcoal suit that probably" | | 6 | "The sight of him hit" | | 7 | "His gaze flicked to the" | | 8 | "Rory moved to shut the" | | 9 | "The tip of his cane" | | 10 | "Wood groaned against metal." | | 11 | "He didn't push the door" | | 12 | "That wasn't Lucien's style." | | 13 | "He simply stood there, cane" | | 14 | "The word hung between them." | | 15 | "Rory's grip tightened on the" | | 16 | "She'd always run." | | 17 | "The accusation slipped out before" | | 18 | "His voice dropped" | | 19 | "Rory laughed, sharp and bitter" |
| | ratio | 0.792 | |
| 40.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 125 | | matches | | 0 | "Now Lucien's jaw flexed." |
| | ratio | 0.008 | |
| 90.59% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 3 | | matches | | 0 | "He leaned against the doorframe, one hand resting on the ivory handle of his cane, the other raised as if he'd been about to knock again." | | 1 | "Lucien set his cane against the armchair and unbuttoned his suit jacket, lowering himself onto Eva's threadbare sofa with the easy grace of a man who expected f…" | | 2 | "Ptolemy hopped off the windowsill and wound between Rory's ankles, as if sensing she needed grounding." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 27 | | uselessAdditionCount | 1 | | matches | | 0 | "Lucien's fingers curled around, not pulling away, but not pulling her closer either" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "Rory laughed (laugh)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 70 | | tagDensity | 0.043 | | leniency | 0.086 | | rawRatio | 0.667 | | effectiveRatio | 0.057 | |