| 69.57% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 3 | | adverbTags | | 0 | "He glanced around [around]" | | 1 | "his mouth twisted around [around]" | | 2 | "She pulled back [back]" |
| | dialogueSentences | 45 | | tagDensity | 0.511 | | leniency | 1 | | rawRatio | 0.13 | | effectiveRatio | 0.13 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1311 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 73.30% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1311 | | totalAiIsms | 7 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | word | "the last thing" | | count | 1 |
| | 5 | |
| | highlights | | 0 | "measured" | | 1 | "stomach" | | 2 | "absolutely" | | 3 | "unsettled" | | 4 | "the last thing" | | 5 | "warmth" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 62 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 62 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 84 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 66 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1327 | | 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 | 726 | | uniqueNames | 8 | | maxNameDensity | 0.69 | | worstName | "Eva" | | maxWindowNameDensity | 1 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 5 | | Moreau | 1 | | November | 1 | | Brick | 1 | | Lane | 1 | | Rory | 4 | | Lucien | 4 | | Ptolemy | 4 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Rory" | | 3 | "Lucien" | | 4 | "Ptolemy" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 80.56% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 36 | | glossingSentenceCount | 1 | | matches | | 0 | "her hands had apparently decided to negotiat" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1327 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 84 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 35.86 | | std | 25.53 | | cv | 0.712 | | sampleLengths | | 0 | 40 | | 1 | 20 | | 2 | 11 | | 3 | 66 | | 4 | 8 | | 5 | 12 | | 6 | 39 | | 7 | 4 | | 8 | 92 | | 9 | 3 | | 10 | 5 | | 11 | 32 | | 12 | 53 | | 13 | 67 | | 14 | 16 | | 15 | 63 | | 16 | 25 | | 17 | 86 | | 18 | 61 | | 19 | 62 | | 20 | 6 | | 21 | 40 | | 22 | 44 | | 23 | 31 | | 24 | 18 | | 25 | 42 | | 26 | 43 | | 27 | 42 | | 28 | 12 | | 29 | 91 | | 30 | 46 | | 31 | 11 | | 32 | 67 | | 33 | 13 | | 34 | 6 | | 35 | 23 | | 36 | 27 |
| |
| 93.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 62 | | matches | | 0 | "was broken" | | 1 | "got was" | | 2 | "was ruined" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 127 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 2 | | flaggedSentences | 8 | | totalSentences | 84 | | ratio | 0.095 | | matches | | 0 | "The hallway light was broken again, so all she got was a shape — tall, narrow, pale hair catching what little glow the curry house downstairs threw through the stairwell window." | | 1 | "Not a drizzle — a proper November downpour, the kind that turns Brick Lane into a river of chip grease and drowned leaves." | | 2 | "\"Your notes now, I hear.\" He glanced around the flat — the books, the scrolls, the cat now watching him from the windowsill with flat hostility." | | 3 | "\"Would you have let go?\" He turned, and the lamplight slid across his face, and there it was — the crack in all that tailoring." | | 4 | "It was a copy of a page from one of Eva's own notebooks — one of the ones on the shelf not two feet from her elbow — annotated in a spidery hand she didn't recognise." | | 5 | "The amber eye burned; the black one held her like a held breath." | | 6 | "She laughed — one short, cracked sound — and then she was off the chair, and he was already reaching, and the kiss landed somewhere in the middle, rain and warmth and three months of slammed doors finally giving way." | | 7 | "His hand came up to cradle the back of her head; hers fisted in his ruined lapel." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 718 | | adjectiveStacks | 1 | | stackExamples | | 0 | "tall, narrow, pale hair" |
| | adverbCount | 28 | | adverbRatio | 0.03899721448467967 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005571030640668524 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 84 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 84 | | mean | 15.8 | | std | 13.76 | | cv | 0.871 | | sampleLengths | | 0 | 4 | | 1 | 20 | | 2 | 16 | | 3 | 8 | | 4 | 12 | | 5 | 4 | | 6 | 4 | | 7 | 3 | | 8 | 27 | | 9 | 31 | | 10 | 8 | | 11 | 6 | | 12 | 2 | | 13 | 10 | | 14 | 2 | | 15 | 30 | | 16 | 9 | | 17 | 4 | | 18 | 10 | | 19 | 23 | | 20 | 29 | | 21 | 11 | | 22 | 19 | | 23 | 3 | | 24 | 5 | | 25 | 26 | | 26 | 6 | | 27 | 26 | | 28 | 8 | | 29 | 19 | | 30 | 18 | | 31 | 32 | | 32 | 6 | | 33 | 11 | | 34 | 15 | | 35 | 1 | | 36 | 17 | | 37 | 46 | | 38 | 25 | | 39 | 16 | | 40 | 70 | | 41 | 11 | | 42 | 50 | | 43 | 25 | | 44 | 37 | | 45 | 4 | | 46 | 2 | | 47 | 2 | | 48 | 4 | | 49 | 4 |
| |
| 70.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4523809523809524 | | totalSentences | 84 | | uniqueOpeners | 38 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 54 | | matches | | 0 | "she told him" | | 1 | "She crossed the flat on" | | 2 | "Her stomach dropped before her" | | 3 | "she said through the door" | | 4 | "His voice came muffled through" | | 5 | "She turned the first lock" | | 6 | "She opened the door." | | 7 | "His charcoal suit was ruined," | | 8 | "She had never once seen" | | 9 | "He came in." | | 10 | "He glanced around the flat" | | 11 | "He caught it against his" | | 12 | "He dragged the towel through" | | 13 | "He was still soaked, still" | | 14 | "It had never unsettled her," | | 15 | "she said, and dropped onto" | | 16 | "he said, and the word" | | 17 | "his mouth twisted around the" | | 18 | "Her voice came out flatter" | | 19 | "He turned, and the lamplight" |
| | ratio | 0.648 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 54 | | matches | | 0 | "Ptolemy heard it first." | | 1 | "The tabby sat up on" | | 2 | "Rory looked up from Eva's" | | 3 | "she told him" | | 4 | "The knock came again." | | 5 | "Ptolemy's tail lashed." | | 6 | "She crossed the flat on" | | 7 | "The hallway light was broken" | | 8 | "Her stomach dropped before her" | | 9 | "she said through the door" | | 10 | "His voice came muffled through" | | 11 | "She turned the first lock" | | 12 | "She opened the door." | | 13 | "Lucien Moreau stood in the" | | 14 | "His charcoal suit was ruined," | | 15 | "She had never once seen" | | 16 | "The sight of it knocked" | | 17 | "He came in." | | 18 | "He glanced around the flat" | | 19 | "Rory yanked a towel off" |
| | ratio | 0.926 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 59.78% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 3 | | matches | | 0 | "he said, and the word dropped between them like a stone in a glass" | | 1 | "He turned, and the lamplight slid across his face, and there it was — the crack in all that tailoring" | | 2 | "He said, and the rain filled the pause" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | 0 | "Rory breathed (breathe)" |
| | dialogueSentences | 45 | | tagDensity | 0.156 | | leniency | 0.311 | | rawRatio | 0.143 | | effectiveRatio | 0.044 | |