| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 64 | | tagDensity | 0.328 | | leniency | 0.656 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.65% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2124 | | totalAiIsmAdverbs | 1 | | found | | | 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) | |
| 81.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2124 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "pulse" | | 1 | "flicked" | | 2 | "silence" | | 3 | "could feel" | | 4 | "warmth" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 125 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 125 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 167 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 60 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2124 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 27 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 1402 | | uniqueNames | 11 | | maxNameDensity | 0.86 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Brick | 2 | | Lane | 2 | | Moreau | 1 | | Marseille | 1 | | English | 1 | | Silas | 2 | | French | 1 | | Rory | 12 | | Eva | 2 | | Lucien | 11 | | Ptolemy | 4 |
| | persons | | 0 | "Moreau" | | 1 | "Silas" | | 2 | "Rory" | | 3 | "Eva" | | 4 | "Lucien" | | 5 | "Ptolemy" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Marseille" | | 3 | "French" |
| | globalScore | 1 | | windowScore | 1 | |
| 30.95% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 84 | | glossingSentenceCount | 4 | | matches | | 0 | "felt like work" | | 1 | "felt like a shield" | | 2 | "felt like a held breath" | | 3 | "felt like muscle memory" |
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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 | 2124 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 167 | | matches | | 0 | "understated that she" | | 1 | "understood that loving" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 74 | | mean | 28.7 | | std | 23.16 | | cv | 0.807 | | sampleLengths | | 0 | 45 | | 1 | 60 | | 2 | 18 | | 3 | 49 | | 4 | 5 | | 5 | 47 | | 6 | 67 | | 7 | 39 | | 8 | 7 | | 9 | 7 | | 10 | 37 | | 11 | 48 | | 12 | 12 | | 13 | 6 | | 14 | 40 | | 15 | 42 | | 16 | 63 | | 17 | 8 | | 18 | 8 | | 19 | 52 | | 20 | 44 | | 21 | 4 | | 22 | 47 | | 23 | 32 | | 24 | 11 | | 25 | 18 | | 26 | 76 | | 27 | 16 | | 28 | 4 | | 29 | 12 | | 30 | 35 | | 31 | 49 | | 32 | 21 | | 33 | 31 | | 34 | 9 | | 35 | 7 | | 36 | 88 | | 37 | 30 | | 38 | 12 | | 39 | 72 | | 40 | 10 | | 41 | 4 | | 42 | 55 | | 43 | 16 | | 44 | 24 | | 45 | 37 | | 46 | 80 | | 47 | 48 | | 48 | 16 | | 49 | 35 |
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| 99.65% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 125 | | matches | | 0 | "been carved" | | 1 | "was borrowed" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 249 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 167 | | ratio | 0.006 | | matches | | 0 | "The cane was the same one he had carried the night they had almost—" |
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| 92.74% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1408 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 68 | | adverbRatio | 0.048295454545454544 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0035511363636363635 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 167 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 167 | | mean | 12.72 | | std | 10.5 | | cv | 0.826 | | sampleLengths | | 0 | 10 | | 1 | 35 | | 2 | 13 | | 3 | 8 | | 4 | 20 | | 5 | 19 | | 6 | 15 | | 7 | 3 | | 8 | 6 | | 9 | 20 | | 10 | 23 | | 11 | 5 | | 12 | 19 | | 13 | 9 | | 14 | 19 | | 15 | 23 | | 16 | 24 | | 17 | 4 | | 18 | 5 | | 19 | 11 | | 20 | 15 | | 21 | 16 | | 22 | 8 | | 23 | 7 | | 24 | 7 | | 25 | 3 | | 26 | 5 | | 27 | 29 | | 28 | 7 | | 29 | 4 | | 30 | 5 | | 31 | 22 | | 32 | 10 | | 33 | 12 | | 34 | 6 | | 35 | 10 | | 36 | 7 | | 37 | 23 | | 38 | 33 | | 39 | 9 | | 40 | 7 | | 41 | 7 | | 42 | 6 | | 43 | 6 | | 44 | 14 | | 45 | 9 | | 46 | 14 | | 47 | 5 | | 48 | 3 | | 49 | 4 |
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| 41.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.281437125748503 | | totalSentences | 167 | | uniqueOpeners | 47 | |
| 30.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 110 | | matches | | 0 | "Instead her fingers tightened on" |
| | ratio | 0.009 | |
| 45.45% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 48 | | totalSentences | 110 | | matches | | 0 | "His voice was low, the" | | 1 | "She should have shut the" | | 2 | "He did not move forward" | | 3 | "He never crowded a doorway" | | 4 | "She stepped back because slamming" | | 5 | "He set the ivory-handled cane" | | 6 | "He almost smiled." | | 7 | "It didn’t reach either eye." | | 8 | "She had been careful." | | 9 | "She had been so careful." | | 10 | "She turned away from him" | | 11 | "She set the papers down" | | 12 | "She looked at him properly" | | 13 | "She shut that thought down." | | 14 | "It had teeth." | | 15 | "He said the name without" | | 16 | "She sat down on the" | | 17 | "She stood up again." | | 18 | "He had not changed." | | 19 | "She had spent six months" |
| | ratio | 0.436 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 102 | | totalSentences | 110 | | matches | | 0 | "The third deadbolt slid free" | | 1 | "Rory pulled the door open" | | 2 | "Lucien Moreau stood on the" | | 3 | "Charcoal suit, not a thread" | | 4 | "Platinum hair slicked back from" | | 5 | "His voice was low, the" | | 6 | "She should have shut the" | | 7 | "Ptolemy wound between her ankles" | | 8 | "He did not move forward" | | 9 | "He never crowded a doorway" | | 10 | "She stepped back because slamming" | | 11 | "The flat was a wreck" | | 12 | "Eva’s chaos, not hers." | | 13 | "Rory lived above Silas’s bar." | | 14 | "This was borrowed space, borrowed" | | 15 | "Lucien crossed the threshold like" | | 16 | "He set the ivory-handled cane" | | 17 | "The blade inside it never" | | 18 | "He almost smiled." | | 19 | "It didn’t reach either eye." |
| | ratio | 0.927 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 110 | | matches | (empty) | | ratio | 0 | |
| 97.26% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 3 | | matches | | 0 | "Rory could feel the history between them like a third person in the room: the nights they had not slept, the arguments that had ended in silence instead of shou…" | | 1 | "She looked at him instead, at the man who had walked back into her life as if the intervening months had been a pause rather than an ending, and she felt the ol…" | | 2 | "The almost was still there, humming in the small space between them like a wire that had never quite gone dead." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 1 | | matches | | 0 | "He said, as if it were just another piece of information" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 64 | | tagDensity | 0.234 | | leniency | 0.469 | | rawRatio | 0.067 | | effectiveRatio | 0.031 | |