| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 102 | | tagDensity | 0.206 | | leniency | 0.412 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.40% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1922 | | 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) | |
| 60.98% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1922 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "sense of" | | 1 | "footfall" | | 2 | "measured" | | 3 | "flicked" | | 4 | "silence" | | 5 | "whisper" | | 6 | "stomach" | | 7 | "warmth" | | 8 | "flickered" | | 9 | "quivered" | | 10 | "familiar" |
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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 | 151 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 151 | | filterMatches | (empty) | | hedgeMatches | | 0 | "started to" | | 1 | "seemed to" | | 2 | "managed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 232 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1922 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 33 | | unquotedAttributions | 0 | | matches | (empty) | |
| 63.73% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 1391 | | uniqueNames | 8 | | maxNameDensity | 1.73 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Lucien | 16 | | Moreau | 1 | | Rory | 24 | | Eva | 3 | | British | 1 | | Library | 1 | | Christmas | 1 | | Ptolemy | 3 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Rory" | | 3 | "Eva" | | 4 | "Ptolemy" |
| | places | | | globalScore | 0.637 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 104 | | 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 | 1922 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 232 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 138 | | mean | 13.93 | | std | 15.68 | | cv | 1.126 | | sampleLengths | | 0 | 6 | | 1 | 60 | | 2 | 11 | | 3 | 9 | | 4 | 9 | | 5 | 8 | | 6 | 3 | | 7 | 4 | | 8 | 75 | | 9 | 7 | | 10 | 6 | | 11 | 7 | | 12 | 39 | | 13 | 1 | | 14 | 7 | | 15 | 3 | | 16 | 20 | | 17 | 4 | | 18 | 8 | | 19 | 41 | | 20 | 6 | | 21 | 9 | | 22 | 2 | | 23 | 2 | | 24 | 60 | | 25 | 3 | | 26 | 9 | | 27 | 29 | | 28 | 5 | | 29 | 4 | | 30 | 4 | | 31 | 3 | | 32 | 5 | | 33 | 16 | | 34 | 7 | | 35 | 5 | | 36 | 8 | | 37 | 7 | | 38 | 2 | | 39 | 78 | | 40 | 11 | | 41 | 10 | | 42 | 11 | | 43 | 19 | | 44 | 5 | | 45 | 4 | | 46 | 13 | | 47 | 7 | | 48 | 9 | | 49 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 151 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 268 | | matches | | 0 | "was lying" | | 1 | "was giving" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 232 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1394 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 45 | | adverbRatio | 0.032281205164992825 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.002152080344332855 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 232 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 232 | | mean | 8.28 | | std | 6 | | cv | 0.724 | | sampleLengths | | 0 | 6 | | 1 | 8 | | 2 | 20 | | 3 | 8 | | 4 | 24 | | 5 | 11 | | 6 | 9 | | 7 | 6 | | 8 | 3 | | 9 | 8 | | 10 | 3 | | 11 | 4 | | 12 | 23 | | 13 | 6 | | 14 | 27 | | 15 | 7 | | 16 | 12 | | 17 | 7 | | 18 | 6 | | 19 | 7 | | 20 | 3 | | 21 | 12 | | 22 | 6 | | 23 | 18 | | 24 | 1 | | 25 | 7 | | 26 | 3 | | 27 | 11 | | 28 | 9 | | 29 | 4 | | 30 | 8 | | 31 | 11 | | 32 | 20 | | 33 | 3 | | 34 | 7 | | 35 | 6 | | 36 | 9 | | 37 | 2 | | 38 | 2 | | 39 | 5 | | 40 | 4 | | 41 | 14 | | 42 | 4 | | 43 | 10 | | 44 | 23 | | 45 | 3 | | 46 | 4 | | 47 | 5 | | 48 | 3 | | 49 | 15 |
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| 44.83% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.24568965517241378 | | totalSentences | 232 | | uniqueOpeners | 57 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 132 | | matches | | 0 | "Then the cat shoved past" | | 1 | "Once, she’d mistaken that for" | | 2 | "Then the light flickered." | | 3 | "Instead she said," | | 4 | "Instead, she reached for his" |
| | ratio | 0.038 | |
| 59.39% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 53 | | totalSentences | 132 | | matches | | 0 | "His ivory-handled cane rested against" | | 1 | "She had not expected it" | | 2 | "His jaw tightened." | | 3 | "She had spent months learning" | | 4 | "She started to close the" | | 5 | "She stopped with the door" | | 6 | "he said, low" | | 7 | "His careful composure hadn’t broken," | | 8 | "He wasn’t afraid, exactly." | | 9 | "She’d seen him frightened once," | | 10 | "She shut the door and" | | 11 | "His eyes flicked toward the" | | 12 | "His gaze met hers." | | 13 | "He had always been good" | | 14 | "It had taken less time" | | 15 | "He glanced at her." | | 16 | "His mouth threatened a smile" | | 17 | "She moved toward the door," | | 18 | "His fingers stopped just above" | | 19 | "He didn’t squeeze." |
| | ratio | 0.402 | |
| 24.39% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 115 | | totalSentences | 132 | | matches | | 0 | "The door opened on Lucien" | | 1 | "The landing light caught the" | | 2 | "His ivory-handled cane rested against" | | 3 | "Rory murmured, though she felt" | | 4 | "Lucien’s gaze dropped to the" | | 5 | "Books and scrolls covered every" | | 6 | "Eva had gone out to" | | 7 | "Rory had been grateful for" | | 8 | "She had not expected it" | | 9 | "His jaw tightened." | | 10 | "The smallest movement, but she" | | 11 | "That was part of the" | | 12 | "She had spent months learning" | | 13 | "She started to close the" | | 14 | "She stopped with the door" | | 15 | "A sound drifted up the" | | 16 | "The old building carried every" | | 17 | "Ptolemy’s ears flattened." | | 18 | "Lucien looked past her into" | | 19 | "he said, low" |
| | ratio | 0.871 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 132 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 2 | | matches | | 0 | "She saw the chipped plaster, Eva’s neighbor’s umbrella stand, and the potted plant that had been dead since Christmas." | | 1 | "She could see the man who had kissed her with such care, and the man who had left her standing in the cold with his last cruel sentence still ringing in her ear…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 18 | | fancyCount | 1 | | fancyTags | | 0 | "Rory murmured (murmur)" |
| | dialogueSentences | 102 | | tagDensity | 0.176 | | leniency | 0.353 | | rawRatio | 0.056 | | effectiveRatio | 0.02 | |