| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said finally [finally]" |
| | dialogueSentences | 68 | | tagDensity | 0.353 | | leniency | 0.706 | | rawRatio | 0.042 | | effectiveRatio | 0.029 | |
| 89.02% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1366 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "perfectly" | | 1 | "really" | | 2 | "very" |
| |
| 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) | |
| 59.74% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1366 | | totalAiIsms | 11 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "practiced ease" | | count | 1 |
| | 6 | | | 7 | | | 8 | | word | "down her spine" | | count | 1 |
|
| | highlights | | 0 | "measured" | | 1 | "stomach" | | 2 | "silence" | | 3 | "traced" | | 4 | "weight" | | 5 | "practiced ease" | | 6 | "familiar" | | 7 | "echo" | | 8 | "down her spine" |
| |
| 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 | 81 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 81 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 126 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1351 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 98.10% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 867 | | uniqueNames | 13 | | maxNameDensity | 1.04 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 6 | | French | 1 | | Lucien | 6 | | Moreau | 1 | | Ptolemy | 3 | | Water | 1 | | Rory | 9 | | Which | 1 | | Mrs | 1 | | Ice | 1 | | Somehow | 1 | | London | 1 | | Evan | 1 |
| | persons | | 0 | "Eva" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Ptolemy" | | 4 | "Water" | | 5 | "Rory" | | 6 | "Ice" | | 7 | "Evan" |
| | places | | | globalScore | 0.981 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1351 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 126 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 20.47 | | std | 14.36 | | cv | 0.702 | | sampleLengths | | 0 | 39 | | 1 | 56 | | 2 | 39 | | 3 | 9 | | 4 | 24 | | 5 | 5 | | 6 | 6 | | 7 | 61 | | 8 | 4 | | 9 | 33 | | 10 | 4 | | 11 | 29 | | 12 | 47 | | 13 | 6 | | 14 | 25 | | 15 | 28 | | 16 | 17 | | 17 | 31 | | 18 | 48 | | 19 | 29 | | 20 | 5 | | 21 | 4 | | 22 | 37 | | 23 | 7 | | 24 | 35 | | 25 | 8 | | 26 | 16 | | 27 | 8 | | 28 | 34 | | 29 | 4 | | 30 | 25 | | 31 | 5 | | 32 | 2 | | 33 | 13 | | 34 | 11 | | 35 | 6 | | 36 | 6 | | 37 | 25 | | 38 | 15 | | 39 | 22 | | 40 | 11 | | 41 | 21 | | 42 | 25 | | 43 | 16 | | 44 | 16 | | 45 | 5 | | 46 | 4 | | 47 | 7 | | 48 | 20 | | 49 | 29 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 81 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 157 | | matches | | 0 | "was asking" | | 1 | "was walking" |
| |
| 29.48% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 126 | | ratio | 0.04 | | matches | | 0 | "Rory paused with her hand on the deadbolt, recognizing the rhythm—patient, measured, distinctly French in its precision." | | 1 | "\"I know.\" Lucien's mismatched eyes—amber and black—met hers without flinching." | | 2 | "That was before—" | | 3 | "The shirt beneath was worse—a ragged tear across the shoulder, edges dark with blood." | | 4 | "The familiar ritual of tending wounds created a buffer between them, something to focus on besides the way lamplight caught in his pale hair or how his fingers drummed against his cane's handle—a tell she'd learned meant pain." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 884 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.027149321266968326 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.005656108597285068 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 126 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 126 | | mean | 10.72 | | std | 6.53 | | cv | 0.609 | | sampleLengths | | 0 | 19 | | 1 | 17 | | 2 | 3 | | 3 | 6 | | 4 | 24 | | 5 | 21 | | 6 | 5 | | 7 | 14 | | 8 | 16 | | 9 | 9 | | 10 | 6 | | 11 | 3 | | 12 | 10 | | 13 | 9 | | 14 | 5 | | 15 | 5 | | 16 | 6 | | 17 | 7 | | 18 | 18 | | 19 | 19 | | 20 | 14 | | 21 | 3 | | 22 | 4 | | 23 | 14 | | 24 | 10 | | 25 | 9 | | 26 | 4 | | 27 | 13 | | 28 | 16 | | 29 | 11 | | 30 | 16 | | 31 | 20 | | 32 | 6 | | 33 | 23 | | 34 | 2 | | 35 | 14 | | 36 | 14 | | 37 | 17 | | 38 | 26 | | 39 | 5 | | 40 | 10 | | 41 | 38 | | 42 | 13 | | 43 | 16 | | 44 | 5 | | 45 | 4 | | 46 | 15 | | 47 | 17 | | 48 | 5 | | 49 | 7 |
| |
| 67.72% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4444444444444444 | | totalSentences | 126 | | uniqueOpeners | 56 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 76 | | matches | | 0 | "Even soaked, he looked immaculate." | | 1 | "Somewhere below, a door slammed" | | 2 | "Somehow it had stayed dry." | | 3 | "Then he was gone, leaving" | | 4 | "Somewhere out there, Evan was" | | 5 | "Somewhere else, Lucien was walking" |
| | ratio | 0.079 | |
| 67.37% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 76 | | matches | | 0 | "Her stomach twisted." | | 1 | "She'd known this moment would" | | 2 | "She opened the door six" | | 3 | "She'd gotten that scar the" | | 4 | "He shifted his weight, leaning" | | 5 | "His lips quirked in that" | | 6 | "She secured the locks while" | | 7 | "She guided him to Eva's" | | 8 | "He settled into the chair" | | 9 | "She cut away the shirt" | | 10 | "Her hands steady on his" | | 11 | "She pushed the memory away." | | 12 | "He was quiet while she" | | 13 | "he said finally" | | 14 | "Her hands stilled." | | 15 | "His good shoulder lifted in" | | 16 | "She resumed stitching, each pass" | | 17 | "His hand caught her wrist," | | 18 | "She met his heterochromatic gaze," | | 19 | "His grip gentled but didn't" |
| | ratio | 0.382 | |
| 58.68% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 76 | | matches | | 0 | "The knock came at half" | | 1 | "Rory paused with her hand" | | 2 | "Her stomach twisted." | | 3 | "She'd known this moment would" | | 4 | "Rory worked the locks one" | | 5 | "The tabby had always liked" | | 6 | "She opened the door six" | | 7 | "Lucien's mismatched eyes—amber and black—met" | | 8 | "Water dripped from his coat" | | 9 | "The question hung between them" | | 10 | "Rory's fingers tightened on the" | | 11 | "She'd gotten that scar the" | | 12 | "Lucien had traced it once" | | 13 | "That was before—" | | 14 | "A dark stain spread across" | | 15 | "He shifted his weight, leaning" | | 16 | "His lips quirked in that" | | 17 | "Rory stepped back, and he" | | 18 | "The scent of rain and" | | 19 | "She secured the locks while" |
| | ratio | 0.803 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 1 | | matches | | 0 | "The knock came at half past midnight, three sharp raps that cut through the rain hammering against Eva's windows." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 68 | | tagDensity | 0.103 | | leniency | 0.206 | | rawRatio | 0.143 | | effectiveRatio | 0.029 | |