| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 50 | | tagDensity | 0.08 | | leniency | 0.16 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 929 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 94.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 929 | | totalAiIsms | 1 | | found | | | highlights | | |
| 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 | 70 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 70 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 116 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 929 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 92.62% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 610 | | uniqueNames | 10 | | maxNameDensity | 1.15 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Golden | 2 | | Empress | 2 | | Silas | 3 | | Rory | 7 | | Llewellyn | 1 | | London | 1 | | Thames | 1 | | Rhys | 5 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Llewellyn" | | 5 | "Rhys" |
| | places | | 0 | "Golden" | | 1 | "London" | | 2 | "Thames" |
| | globalScore | 0.926 | | windowScore | 1 | |
| 98.98% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | 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 | 929 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 116 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 14.08 | | std | 15.25 | | cv | 1.083 | | sampleLengths | | 0 | 78 | | 1 | 47 | | 2 | 17 | | 3 | 48 | | 4 | 7 | | 5 | 1 | | 6 | 7 | | 7 | 18 | | 8 | 1 | | 9 | 37 | | 10 | 2 | | 11 | 1 | | 12 | 9 | | 13 | 15 | | 14 | 16 | | 15 | 5 | | 16 | 29 | | 17 | 3 | | 18 | 40 | | 19 | 4 | | 20 | 3 | | 21 | 3 | | 22 | 4 | | 23 | 29 | | 24 | 6 | | 25 | 37 | | 26 | 10 | | 27 | 4 | | 28 | 4 | | 29 | 5 | | 30 | 34 | | 31 | 4 | | 32 | 33 | | 33 | 3 | | 34 | 18 | | 35 | 4 | | 36 | 7 | | 37 | 9 | | 38 | 5 | | 39 | 5 | | 40 | 14 | | 41 | 21 | | 42 | 34 | | 43 | 2 | | 44 | 23 | | 45 | 9 | | 46 | 4 | | 47 | 2 | | 48 | 2 | | 49 | 13 |
| |
| 85.21% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 70 | | matches | | 0 | "been moved" | | 1 | "was cropped" | | 2 | "been seemed" | | 3 | "were polished" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 92 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 116 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 613 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 10 | | adverbRatio | 0.01631321370309951 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0032626427406199023 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 116 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 116 | | mean | 8.01 | | std | 5.78 | | cv | 0.722 | | sampleLengths | | 0 | 12 | | 1 | 13 | | 2 | 16 | | 3 | 17 | | 4 | 20 | | 5 | 6 | | 6 | 16 | | 7 | 25 | | 8 | 17 | | 9 | 9 | | 10 | 18 | | 11 | 9 | | 12 | 4 | | 13 | 8 | | 14 | 7 | | 15 | 1 | | 16 | 7 | | 17 | 7 | | 18 | 11 | | 19 | 1 | | 20 | 11 | | 21 | 3 | | 22 | 18 | | 23 | 5 | | 24 | 2 | | 25 | 1 | | 26 | 4 | | 27 | 3 | | 28 | 2 | | 29 | 15 | | 30 | 2 | | 31 | 9 | | 32 | 5 | | 33 | 5 | | 34 | 7 | | 35 | 10 | | 36 | 12 | | 37 | 3 | | 38 | 7 | | 39 | 10 | | 40 | 7 | | 41 | 8 | | 42 | 8 | | 43 | 4 | | 44 | 3 | | 45 | 3 | | 46 | 2 | | 47 | 2 | | 48 | 3 | | 49 | 19 |
| |
| 38.79% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.25862068965517243 | | totalSentences | 116 | | uniqueOpeners | 30 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 58.81% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 67 | | matches | | 0 | "She was reaching for a" | | 1 | "He wore a black coat," | | 2 | "His hair was cropped close" | | 3 | "His face had lost the" | | 4 | "She set the bag on" | | 5 | "Her wrist ached where the" | | 6 | "He slid down the bar" | | 7 | "He did not look at" | | 8 | "He looked only at her." | | 9 | "He touched his glass." | | 10 | "He nodded and turned to" | | 11 | "It hung like a suit" | | 12 | "His shoes were polished to" | | 13 | "They had no scuff, no" | | 14 | "He watched her." | | 15 | "He knew the shape of" | | 16 | "He took a sip from" | | 17 | "Her fingers pressed the wet" | | 18 | "He looked at the maps." | | 19 | "She did not answer." |
| | ratio | 0.403 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 67 | | matches | | 0 | "The green neon above The" | | 1 | "Rain ran down the brick" | | 2 | "Rory kept the Golden Empress" | | 3 | "The bar smelled of damp" | | 4 | "Maps covered the walls, their" | | 5 | "Silas was not at the" | | 6 | "The stool beside Rory’s stood" | | 7 | "The bookshelf near the stairs" | | 8 | "She was reaching for a" | | 9 | "He wore a black coat," | | 10 | "His hair was cropped close" | | 11 | "His face had lost the" | | 12 | "The cheeks were hollow." | | 13 | "The mouth had forgotten how" | | 14 | "Rhys Llewellyn had come back" | | 15 | "The name came out flat," | | 16 | "She set the bag on" | | 17 | "Her wrist ached where the" | | 18 | "He slid down the bar" | | 19 | "The wood creaked." |
| | ratio | 0.925 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |