| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "His hand closed around [around]" |
| | dialogueSentences | 36 | | tagDensity | 0.361 | | leniency | 0.722 | | rawRatio | 0.077 | | effectiveRatio | 0.056 | |
| 85.15% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1010 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 1 |
|
| | highlights | | 0 | "slightly" | | 1 | "carefully" | | 2 | "deliberately" |
| |
| 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) | |
| 65.35% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1010 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "silence" | | 1 | "comfortable" | | 2 | "tension" | | 3 | "weight" | | 4 | "constructed" | | 5 | "shattered" |
| |
| 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 | 74 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 74 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 72 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1005 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 784 | | uniqueNames | 5 | | maxNameDensity | 0.77 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Eva" | | discoveredNames | | Rory | 6 | | Ptolemy | 4 | | Eva | 6 | | Moreau | 2 | | Lucien | 3 |
| | persons | | 0 | "Rory" | | 1 | "Ptolemy" | | 2 | "Eva" | | 3 | "Moreau" | | 4 | "Lucien" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 90.48% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 1 | | matches | | 0 | "not quite something more complicated that she didn't have a clean word for" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1005 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 97 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 18.61 | | std | 20.2 | | cv | 1.085 | | sampleLengths | | 0 | 12 | | 1 | 66 | | 2 | 9 | | 3 | 12 | | 4 | 12 | | 5 | 63 | | 6 | 6 | | 7 | 64 | | 8 | 3 | | 9 | 11 | | 10 | 18 | | 11 | 5 | | 12 | 1 | | 13 | 8 | | 14 | 53 | | 15 | 5 | | 16 | 20 | | 17 | 5 | | 18 | 46 | | 19 | 5 | | 20 | 8 | | 21 | 21 | | 22 | 15 | | 23 | 91 | | 24 | 7 | | 25 | 5 | | 26 | 7 | | 27 | 26 | | 28 | 43 | | 29 | 7 | | 30 | 8 | | 31 | 5 | | 32 | 29 | | 33 | 7 | | 34 | 59 | | 35 | 5 | | 36 | 29 | | 37 | 3 | | 38 | 12 | | 39 | 41 | | 40 | 27 | | 41 | 12 | | 42 | 18 | | 43 | 21 | | 44 | 4 | | 45 | 1 | | 46 | 8 | | 47 | 2 | | 48 | 2 | | 49 | 8 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 74 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 146 | | matches | | 0 | "was choosing" | | 1 | "was unmooring" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 97 | | ratio | 0 | | matches | (empty) | |
| 88.42% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 789 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.053231939163498096 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.016476552598225603 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 10.36 | | std | 10.12 | | cv | 0.977 | | sampleLengths | | 0 | 12 | | 1 | 32 | | 2 | 23 | | 3 | 3 | | 4 | 3 | | 5 | 5 | | 6 | 4 | | 7 | 5 | | 8 | 2 | | 9 | 10 | | 10 | 12 | | 11 | 33 | | 12 | 2 | | 13 | 7 | | 14 | 21 | | 15 | 6 | | 16 | 12 | | 17 | 6 | | 18 | 10 | | 19 | 22 | | 20 | 7 | | 21 | 7 | | 22 | 3 | | 23 | 4 | | 24 | 7 | | 25 | 16 | | 26 | 2 | | 27 | 5 | | 28 | 1 | | 29 | 8 | | 30 | 16 | | 31 | 10 | | 32 | 2 | | 33 | 25 | | 34 | 5 | | 35 | 4 | | 36 | 16 | | 37 | 5 | | 38 | 29 | | 39 | 17 | | 40 | 5 | | 41 | 8 | | 42 | 3 | | 43 | 18 | | 44 | 6 | | 45 | 5 | | 46 | 4 | | 47 | 70 | | 48 | 21 | | 49 | 7 |
| |
| 59.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3917525773195876 | | totalSentences | 97 | | uniqueOpeners | 38 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 59 | | matches | | 0 | "Then she reached back for" | | 1 | "More of a ceasefire." |
| | ratio | 0.034 | |
| 36.95% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 59 | | matches | | 0 | "She had a fork halfway" | | 1 | "She was comfortable." | | 2 | "She was full." | | 3 | "She was not getting up." | | 4 | "She crossed the cluttered flat" | | 5 | "He looked exactly as he" | | 6 | "His ivory-handled cane rested at" | | 7 | "His hand closed around the" | | 8 | "He had the decency not" | | 9 | "He'd always been good at" | | 10 | "He tilted his head slightly," | | 11 | "She stepped back from the" | | 12 | "It wasn't an invitation, exactly." | | 13 | "He came in and stood" | | 14 | "He looked out of place" | | 15 | "He turned to look at" | | 16 | "He didn't look away." | | 17 | "She'd been ready for almost" | | 18 | "He set his cane against" | | 19 | "It was a small gesture," |
| | ratio | 0.458 | |
| 10.85% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 59 | | matches | | 0 | "The knock came at quarter" | | 1 | "She had a fork halfway" | | 2 | "The curry house smell from" | | 3 | "She was comfortable." | | 4 | "She was full." | | 5 | "She was not getting up." | | 6 | "The knock came again." | | 7 | "Eva used her key and" | | 8 | "Ptolemy lifted his head, ears" | | 9 | "She crossed the cluttered flat" | | 10 | "Eva was particular about the" | | 11 | "Rory turned each one without" | | 12 | "Lucien Moreau stood in the" | | 13 | "He looked exactly as he" | | 14 | "Charcoal suit, pressed to geometric" | | 15 | "Platinum hair slicked back without" | | 16 | "His ivory-handled cane rested at" | | 17 | "The other, black as ink," | | 18 | "Rory stared at him." | | 19 | "His hand closed around the" |
| | ratio | 0.898 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 3 | | matches | | 0 | "She had a fork halfway to her mouth, Ptolemy sprawled across her lap like a warm, indifferent blanket, and the kind of silence that took effort to build after a…" | | 1 | "She crossed the cluttered flat in her socks, stepping over a stack of Eva's demonology texts and a rolled-up scroll that had been on the floor for so long it ha…" | | 2 | "He came in and stood in the middle of the flat with his cane tip resting on a clear patch of floorboard, surrounded by Eva's organised chaos, books stacked in t…" |
| |
| 86.54% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 1 | | matches | | 0 | "His hand closed around, not forceful, barely there, just enough" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |