| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said simply [simply]" |
| | dialogueSentences | 51 | | tagDensity | 0.451 | | leniency | 0.902 | | rawRatio | 0.043 | | effectiveRatio | 0.039 | |
| 82.15% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1681 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | | 2 | | adverb | "reluctantly" | | count | 1 |
| | 3 | | | 4 | |
| | highlights | | 0 | "lightly" | | 1 | "gently" | | 2 | "reluctantly" | | 3 | "suddenly" | | 4 | "very" |
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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) | |
| 91.08% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1681 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "traced" | | 1 | "silk" | | 2 | "weight" |
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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 | 1 | | narrationSentences | 93 | | matches | | |
| 96.77% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 93 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 121 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 54 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1689 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 26 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1078 | | uniqueNames | 11 | | maxNameDensity | 0.74 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Ptolemy | 4 | | Eva | 6 | | Lucien | 8 | | French-edged | 1 | | Rory | 8 | | Golden | 1 | | Empress | 1 | | French | 2 | | Aurora | 2 | | Started | 1 | | Bengali | 1 |
| | persons | | 0 | "Ptolemy" | | 1 | "Eva" | | 2 | "Lucien" | | 3 | "Rory" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 73.08% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 2 | | matches | | 0 | "not quite touching skin" | | 1 | "smelled like rain and the faint incense th" |
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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 | 1689 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 121 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 27.69 | | std | 23.19 | | cv | 0.838 | | sampleLengths | | 0 | 7 | | 1 | 68 | | 2 | 3 | | 3 | 68 | | 4 | 3 | | 5 | 14 | | 6 | 9 | | 7 | 3 | | 8 | 17 | | 9 | 63 | | 10 | 38 | | 11 | 65 | | 12 | 20 | | 13 | 4 | | 14 | 18 | | 15 | 5 | | 16 | 8 | | 17 | 117 | | 18 | 12 | | 19 | 19 | | 20 | 39 | | 21 | 12 | | 22 | 33 | | 23 | 28 | | 24 | 58 | | 25 | 37 | | 26 | 9 | | 27 | 5 | | 28 | 14 | | 29 | 29 | | 30 | 30 | | 31 | 54 | | 32 | 15 | | 33 | 22 | | 34 | 11 | | 35 | 9 | | 36 | 86 | | 37 | 7 | | 38 | 24 | | 39 | 44 | | 40 | 16 | | 41 | 58 | | 42 | 9 | | 43 | 42 | | 44 | 46 | | 45 | 29 | | 46 | 12 | | 47 | 23 | | 48 | 21 | | 49 | 5 |
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| 97.72% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 93 | | matches | | 0 | "was amused" | | 1 | "were scarred" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 200 | | matches | | |
| 72.02% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 121 | | ratio | 0.025 | | matches | | 0 | "Lucien took the floor, which was so unlike him — tailored charcoal suits did not sit on floors — that her chest did a stupid thump." | | 1 | "\"I know.\" His mismatched eyes lifted to hers — bright blue to amber and black." | | 2 | "Rory looked at him — platinum hair mussed for once, suit ruined, eyes both locked on hers like she was the only clear thing in the flat — and made a quick, out-of-the-box decision, the kind that had always kept her alive." |
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| 86.35% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 931 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small crescent-shaped scar" | | 1 | "small, book-crowded room." |
| | adverbCount | 39 | | adverbRatio | 0.04189044038668099 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.008592910848549946 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 121 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 121 | | mean | 13.96 | | std | 12.49 | | cv | 0.895 | | sampleLengths | | 0 | 7 | | 1 | 33 | | 2 | 35 | | 3 | 3 | | 4 | 17 | | 5 | 51 | | 6 | 3 | | 7 | 4 | | 8 | 10 | | 9 | 6 | | 10 | 3 | | 11 | 3 | | 12 | 17 | | 13 | 53 | | 14 | 10 | | 15 | 38 | | 16 | 21 | | 17 | 12 | | 18 | 32 | | 19 | 6 | | 20 | 6 | | 21 | 8 | | 22 | 4 | | 23 | 12 | | 24 | 6 | | 25 | 5 | | 26 | 5 | | 27 | 3 | | 28 | 9 | | 29 | 48 | | 30 | 2 | | 31 | 4 | | 32 | 33 | | 33 | 11 | | 34 | 8 | | 35 | 2 | | 36 | 6 | | 37 | 6 | | 38 | 19 | | 39 | 7 | | 40 | 7 | | 41 | 7 | | 42 | 18 | | 43 | 12 | | 44 | 6 | | 45 | 27 | | 46 | 11 | | 47 | 15 | | 48 | 2 | | 49 | 36 |
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| 49.86% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.36363636363636365 | | totalSentences | 121 | | uniqueOpeners | 44 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 79 | | matches | | 0 | "Of course she'd run." | | 1 | "Then she hadn't heard from" | | 2 | "Then he'd sent a single" |
| | ratio | 0.038 | |
| 7.34% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 79 | | matches | | 0 | "She had the chain still" | | 1 | "It was Lucien." | | 2 | "He was leaning lightly on" | | 3 | "His voice hadn't changed." | | 4 | "She didn't take the chain" | | 5 | "He glanced past her shoulder" | | 6 | "she said, but she thumbed" | | 7 | "He stepped inside and Rory" | | 8 | "She was in Eva's too-big" | | 9 | "He did not do the" | | 10 | "He knew better than to" | | 11 | "he said, and then winced" | | 12 | "he said, too gently" | | 13 | "She was intelligent, she was" | | 14 | "She had assumed he was" | | 15 | "she said, because" | | 16 | "He set his cane against" | | 17 | "He said it matter-of-factly, fixer" | | 18 | "She stared at him." | | 19 | "It had been Eva's idea." |
| | ratio | 0.532 | |
| 16.96% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 79 | | matches | | 0 | "The door opened on the" | | 1 | "Rory hadn't heard anyone come" | | 2 | "She had the chain still" | | 3 | "It was Lucien." | | 4 | "Rain beaded on the shoulders" | | 5 | "He was leaning lightly on" | | 6 | "His voice hadn't changed." | | 7 | "She didn't take the chain" | | 8 | "He glanced past her shoulder" | | 9 | "she said, but she thumbed" | | 10 | "He stepped inside and Rory" | | 11 | "Shoulder-length black hair still damp" | | 12 | "She was in Eva's too-big" | | 13 | "Lucien closed the door behind" | | 14 | "He did not do the" | | 15 | "He knew better than to" | | 16 | "he said, and then winced" | | 17 | "he said, too gently" | | 18 | "That was the hurt, right" | | 19 | "The last time she'd seen" |
| | ratio | 0.886 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 2 | | matches | | 0 | "She had the chain still on, one hand braced on the doorframe, the other already reaching for the chipped mug on Eva's hall table that would make a shit weapon b…" | | 1 | "Rory looked at him — platinum hair mussed for once, suit ruined, eyes both locked on hers like she was the only clear thing in the flat — and made a quick, out-…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 18 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 51 | | tagDensity | 0.353 | | leniency | 0.706 | | rawRatio | 0.056 | | effectiveRatio | 0.039 | |