| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 2 | | adverbTags | | 0 | "She turned around [around]" | | 1 | "she said quietly [quietly]" |
| | dialogueSentences | 64 | | tagDensity | 0.344 | | leniency | 0.688 | | rawRatio | 0.091 | | effectiveRatio | 0.063 | |
| 91.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1165 | | totalAiIsmAdverbs | 2 | | 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) | |
| 74.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1165 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "affection" | | 1 | "weight" | | 2 | "familiar" | | 3 | "warmth" | | 4 | "silence" | | 5 | "traced" |
| |
| 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 | 87 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 87 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 128 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1172 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 803 | | uniqueNames | 8 | | maxNameDensity | 0.75 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 6 | | Eva | 2 | | One | 1 | | Lucien | 5 | | Flat | 1 | | Started | 1 | | Brick | 1 | | Lane | 1 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "One" | | 3 | "Lucien" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1172 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 128 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 18.9 | | std | 19.66 | | cv | 1.04 | | sampleLengths | | 0 | 29 | | 1 | 5 | | 2 | 73 | | 3 | 21 | | 4 | 8 | | 5 | 12 | | 6 | 6 | | 7 | 29 | | 8 | 4 | | 9 | 5 | | 10 | 16 | | 11 | 42 | | 12 | 6 | | 13 | 74 | | 14 | 6 | | 15 | 4 | | 16 | 18 | | 17 | 1 | | 18 | 1 | | 19 | 6 | | 20 | 51 | | 21 | 35 | | 22 | 3 | | 23 | 4 | | 24 | 2 | | 25 | 9 | | 26 | 3 | | 27 | 6 | | 28 | 60 | | 29 | 3 | | 30 | 12 | | 31 | 14 | | 32 | 31 | | 33 | 6 | | 34 | 38 | | 35 | 23 | | 36 | 5 | | 37 | 22 | | 38 | 14 | | 39 | 39 | | 40 | 33 | | 41 | 10 | | 42 | 11 | | 43 | 5 | | 44 | 10 | | 45 | 5 | | 46 | 16 | | 47 | 43 | | 48 | 3 | | 49 | 2 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 87 | | matches | | |
| 59.15% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 142 | | matches | | 0 | "was identifying" | | 1 | "was standing" | | 2 | "was arguing" |
| |
| 31.25% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 128 | | ratio | 0.039 | | matches | | 0 | "He held the ivory cane loosely in one hand, not leaning on it, just carrying it the way other men carried umbrellas on clear days — as a statement." | | 1 | "He was standing in the kitchen doorway, shoulder against the frame, watching her with that particular quality of attention he had — unhurried, total — that had undone her the first time and every time after." | | 2 | "He was close enough that she could see the faint asymmetry of his features — the way his left eye, the amber one, sat fractionally higher than the black." | | 3 | "\"Leave.\" His hand came up and she tracked it — watched it hover for half a second, uncertain, which was extraordinary on him — before it settled against her jaw." | | 4 | "His expression shifted — something unguarded in it, something she'd only ever seen in unguarded moments that he'd probably not intended to give her." |
| |
| 93.28% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 797 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.04767879548306148 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.01631116687578419 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 128 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 128 | | mean | 9.16 | | std | 8.48 | | cv | 0.926 | | sampleLengths | | 0 | 29 | | 1 | 5 | | 2 | 3 | | 3 | 19 | | 4 | 5 | | 5 | 17 | | 6 | 29 | | 7 | 7 | | 8 | 9 | | 9 | 5 | | 10 | 8 | | 11 | 7 | | 12 | 2 | | 13 | 3 | | 14 | 6 | | 15 | 3 | | 16 | 26 | | 17 | 4 | | 18 | 5 | | 19 | 9 | | 20 | 6 | | 21 | 1 | | 22 | 11 | | 23 | 14 | | 24 | 9 | | 25 | 8 | | 26 | 6 | | 27 | 41 | | 28 | 33 | | 29 | 6 | | 30 | 4 | | 31 | 15 | | 32 | 3 | | 33 | 1 | | 34 | 1 | | 35 | 4 | | 36 | 2 | | 37 | 36 | | 38 | 15 | | 39 | 18 | | 40 | 9 | | 41 | 5 | | 42 | 3 | | 43 | 3 | | 44 | 4 | | 45 | 2 | | 46 | 7 | | 47 | 2 | | 48 | 3 | | 49 | 6 |
| |
| 55.99% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3828125 | | totalSentences | 128 | | uniqueOpeners | 49 | |
| 46.95% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 71 | | matches | | | ratio | 0.014 | |
| 11.55% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 71 | | matches | | 0 | "He hadn't changed." | | 1 | "He held the ivory cane" | | 2 | "His mismatched eyes moved over" | | 3 | "She'd stopped making them questions" | | 4 | "He said it like he" | | 5 | "She stepped back from the" | | 6 | "He moved past her into" | | 7 | "He set the cane against" | | 8 | "He turned from the bookshelf" | | 9 | "She moved past him to" | | 10 | "She switched it on anyway." | | 11 | "She laughed, short and without" | | 12 | "She hadn't heard him move." | | 13 | "He was standing in the" | | 14 | "She'd practised letting it be" | | 15 | "She turned around" | | 16 | "He was closer than she'd" | | 17 | "It wasn't guilt exactly." | | 18 | "It was something more considered" | | 19 | "She'd expected the deflection." |
| | ratio | 0.521 | |
| 23.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 71 | | matches | | 0 | "The third deadbolt gave its" | | 1 | "Lucien stood in the hallway." | | 2 | "He hadn't changed." | | 3 | "That was the first thing" | | 4 | "The charcoal suit was immaculate." | | 5 | "The platinum hair was swept" | | 6 | "He held the ivory cane" | | 7 | "His mismatched eyes moved over" | | 8 | "The amber one caught the" | | 9 | "The black one swallowed it." | | 10 | "Rory touched the side of" | | 11 | "She'd stopped making them questions" | | 12 | "The way he said her" | | 13 | "He said it like he" | | 14 | "She stepped back from the" | | 15 | "He moved past her into" | | 16 | "Ptolemy materialised from behind a" | | 17 | "He set the cane against" | | 18 | "Rory folded her arms." | | 19 | "He turned from the bookshelf" |
| | ratio | 0.873 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 1 | | matches | | 0 | "That was the first thing she noticed, stupidly, as though she'd half-expected time to have done something to him." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 2 | | fancyTags | | 0 | "Lucien observed (observe)" | | 1 | "She laughed (laugh)" |
| | dialogueSentences | 64 | | tagDensity | 0.172 | | leniency | 0.344 | | rawRatio | 0.182 | | effectiveRatio | 0.063 | |