| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 33 | | adverbTagCount | 3 | | adverbTags | | 0 | "She turned away [away]" | | 1 | "She gestured vaguely [vaguely]" | | 2 | "She stood abruptly [abruptly]" |
| | dialogueSentences | 95 | | tagDensity | 0.347 | | leniency | 0.695 | | rawRatio | 0.091 | | effectiveRatio | 0.063 | |
| 90.14% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1522 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "carefully" | | 2 | "really" |
| |
| 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) | |
| 21.16% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1522 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | word | "down her spine" | | count | 1 |
| | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | |
| | highlights | | 0 | "familiar" | | 1 | "pulse" | | 2 | "quickened" | | 3 | "whisper" | | 4 | "unreadable" | | 5 | "flicked" | | 6 | "stark" | | 7 | "navigating" | | 8 | "chill" | | 9 | "down her spine" | | 10 | "eyebrow" | | 11 | "unsettled" | | 12 | "weight" | | 13 | "tracing" | | 14 | "traced" | | 15 | "raced" | | 16 | "intensity" | | 17 | "silence" | | 18 | "flickered" | | 19 | "tension" | | 20 | "calculated" | | 21 | "charm" |
| |
| 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 | 82 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 82 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 143 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1508 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 82.43% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 814 | | uniqueNames | 9 | | maxNameDensity | 1.35 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 2 | | French | 1 | | Ptolemy | 2 | | Lucien | 8 | | Aurora | 11 | | Old | 1 | | London | 1 | | Evan | 1 | | Silence | 1 |
| | persons | | 0 | "Eva" | | 1 | "Ptolemy" | | 2 | "Lucien" | | 3 | "Aurora" | | 4 | "Evan" | | 5 | "Silence" |
| | places | | | globalScore | 0.824 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | 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 | 1508 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 143 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 81 | | mean | 18.62 | | std | 11.04 | | cv | 0.593 | | sampleLengths | | 0 | 37 | | 1 | 10 | | 2 | 12 | | 3 | 48 | | 4 | 21 | | 5 | 13 | | 6 | 21 | | 7 | 21 | | 8 | 6 | | 9 | 50 | | 10 | 19 | | 11 | 27 | | 12 | 2 | | 13 | 19 | | 14 | 13 | | 15 | 31 | | 16 | 10 | | 17 | 11 | | 18 | 18 | | 19 | 23 | | 20 | 33 | | 21 | 18 | | 22 | 13 | | 23 | 22 | | 24 | 9 | | 25 | 26 | | 26 | 36 | | 27 | 33 | | 28 | 4 | | 29 | 8 | | 30 | 20 | | 31 | 2 | | 32 | 12 | | 33 | 14 | | 34 | 23 | | 35 | 38 | | 36 | 25 | | 37 | 21 | | 38 | 25 | | 39 | 23 | | 40 | 3 | | 41 | 3 | | 42 | 27 | | 43 | 26 | | 44 | 14 | | 45 | 12 | | 46 | 20 | | 47 | 12 | | 48 | 19 | | 49 | 24 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 141 | | matches | (empty) | |
| 3.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 143 | | ratio | 0.049 | | matches | | 0 | "Her pulse quickened as memories flooded back—memories she'd spent months trying to bury." | | 1 | "Aurora flinched at the name—her other identity, the one she'd created in the shadow world Lucien inhabited." | | 2 | "A muscle twitched in his jaw—the only indication that her words had struck a nerve." | | 3 | "He hesitated, then sat beside her, close enough that she could catch the faint scent of his cologne—sandalwood and something else, something not quite human." | | 4 | "Something flickered in his mismatched eyes—pain, perhaps, or recognition." | | 5 | "Aurora stared at his hand—elegant fingers that she knew could wield both magic and that concealed blade with deadly precision." | | 6 | "She'd heard promises from him before, but never like this—never so raw, so stripped of his usual calculated charm." |
| |
| 86.61% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 823 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 45 | | adverbRatio | 0.054678007290400975 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.020656136087484813 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 143 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 143 | | mean | 10.55 | | std | 6.35 | | cv | 0.603 | | sampleLengths | | 0 | 9 | | 1 | 15 | | 2 | 13 | | 3 | 10 | | 4 | 12 | | 5 | 23 | | 6 | 12 | | 7 | 13 | | 8 | 21 | | 9 | 11 | | 10 | 2 | | 11 | 21 | | 12 | 21 | | 13 | 5 | | 14 | 1 | | 15 | 14 | | 16 | 18 | | 17 | 18 | | 18 | 19 | | 19 | 20 | | 20 | 2 | | 21 | 5 | | 22 | 2 | | 23 | 4 | | 24 | 9 | | 25 | 6 | | 26 | 9 | | 27 | 4 | | 28 | 11 | | 29 | 15 | | 30 | 5 | | 31 | 8 | | 32 | 2 | | 33 | 9 | | 34 | 2 | | 35 | 17 | | 36 | 1 | | 37 | 18 | | 38 | 5 | | 39 | 23 | | 40 | 10 | | 41 | 18 | | 42 | 13 | | 43 | 18 | | 44 | 4 | | 45 | 9 | | 46 | 11 | | 47 | 15 | | 48 | 15 | | 49 | 21 |
| |
| 63.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4125874125874126 | | totalSentences | 143 | | uniqueOpeners | 59 | |
| 43.29% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 77 | | matches | | | ratio | 0.013 | |
| 7.01% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 77 | | matches | | 0 | "Her pulse quickened as memories" | | 1 | "She drew a steadying breath" | | 2 | "His name left her lips" | | 3 | "He stood in the dim" | | 4 | "His platinum hair caught the" | | 5 | "His French accent lilted her" | | 6 | "His gaze flicked toward the" | | 7 | "She hesitated, then stepped back." | | 8 | "His charcoal suit looked as" | | 9 | "He moved with practiced grace" | | 10 | "He paused at a table" | | 11 | "It was his business to" | | 12 | "She crossed her arms" | | 13 | "He turned to face her" | | 14 | "His voice lowered" | | 15 | "He moved closer, his cane" | | 16 | "She raised an eyebrow, trying" | | 17 | "Her voice sharpened" | | 18 | "He placed his cane against" | | 19 | "He rolled up his shirtsleeves" |
| | ratio | 0.532 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 77 | | matches | | 0 | "Aurora froze with her hand" | | 1 | "The familiar silhouette through the" | | 2 | "Her pulse quickened as memories" | | 3 | "She drew a steadying breath" | | 4 | "His name left her lips" | | 5 | "He stood in the dim" | | 6 | "His platinum hair caught the" | | 7 | "His French accent lilted her" | | 8 | "Ptolemy darted between her legs" | | 9 | "Aurora gripped the edge of" | | 10 | "His gaze flicked toward the" | | 11 | "She hesitated, then stepped back." | | 12 | "Lucien entered with the subtle" | | 13 | "His charcoal suit looked as" | | 14 | "He moved with practiced grace" | | 15 | "He paused at a table" | | 16 | "Aurora closed the door, her" | | 17 | "Lucien knew everything that happened" | | 18 | "It was his business to" | | 19 | "She crossed her arms" |
| | ratio | 0.935 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 49.24% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 33 | | uselessAdditionCount | 5 | | matches | | 0 | "He moved, his cane making soft taps against the floor" | | 1 | "She raised, trying to mask how unsettled she felt" | | 2 | "her left, fingers tracing the crescent-shaped scar hidden beneath her sleeve" | | 3 | "His gaze dropped, to the scar hidden beneath her sleeve" | | 4 | "She turned away, unable to bear the intensity of his gaze" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 95 | | tagDensity | 0.011 | | leniency | 0.021 | | rawRatio | 1 | | effectiveRatio | 0.021 | |