| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 3 | | adverbTags | | 0 | "she said finally [finally]" | | 1 | "the door seemed suddenly [suddenly]" | | 2 | "the easy familiarity they'd once [once]" |
| | dialogueSentences | 14 | | tagDensity | 0.714 | | leniency | 1 | | rawRatio | 0.3 | | effectiveRatio | 0.3 | |
| 94.11% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 849 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 849 | | totalAiIsms | 25 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | word | "down her spine" | | count | 1 |
| | 19 | |
| | highlights | | 0 | "scanning" | | 1 | "gleaming" | | 2 | "warmth" | | 3 | "unspoken" | | 4 | "silence" | | 5 | "reminder" | | 6 | "flicked" | | 7 | "enigmatic" | | 8 | "sense of" | | 9 | "racing" | | 10 | "navigated" | | 11 | "flickered" | | 12 | "amidst" | | 13 | "fleeting" | | 14 | "tension" | | 15 | "echo" | | 16 | "tinged" | | 17 | "dance" | | 18 | "down her spine" | | 19 | "weight" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 44 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 44 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 48 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 849 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 738 | | uniqueNames | 4 | | maxNameDensity | 2.17 | | worstName | "Lucien" | | maxWindowNameDensity | 4 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 1 | | Eva | 2 | | Rory | 13 | | Lucien | 16 |
| | persons | | 0 | "Moreau" | | 1 | "Eva" | | 2 | "Rory" | | 3 | "Lucien" |
| | places | (empty) | | globalScore | 0.416 | | windowScore | 0.333 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 3 | | matches | | 0 | "seemed suddenly inadequate" | | 1 | "as if expecting an audience to materialize" | | 2 | "as if sensing her unease, darted between Lucien's legs, leading the way into the flat" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 849 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 48 | | matches | (empty) | |
| 30.47% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 17 | | mean | 49.94 | | std | 12.82 | | cv | 0.257 | | sampleLengths | | 0 | 72 | | 1 | 55 | | 2 | 49 | | 3 | 71 | | 4 | 55 | | 5 | 36 | | 6 | 56 | | 7 | 45 | | 8 | 27 | | 9 | 42 | | 10 | 49 | | 11 | 60 | | 12 | 31 | | 13 | 51 | | 14 | 44 | | 15 | 68 | | 16 | 38 |
| |
| 97.29% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 44 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 130 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 48 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 743 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small, crescent-shaped scar" | | 1 | "slim, cream-colored envelope" |
| | adverbCount | 25 | | adverbRatio | 0.033647375504710635 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.014804845222072678 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 48 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 48 | | mean | 17.69 | | std | 7.23 | | cv | 0.409 | | sampleLengths | | 0 | 10 | | 1 | 23 | | 2 | 23 | | 3 | 16 | | 4 | 15 | | 5 | 20 | | 6 | 20 | | 7 | 21 | | 8 | 14 | | 9 | 14 | | 10 | 20 | | 11 | 14 | | 12 | 22 | | 13 | 15 | | 14 | 13 | | 15 | 16 | | 16 | 10 | | 17 | 16 | | 18 | 21 | | 19 | 8 | | 20 | 7 | | 21 | 19 | | 22 | 10 | | 23 | 27 | | 24 | 10 | | 25 | 23 | | 26 | 12 | | 27 | 8 | | 28 | 15 | | 29 | 4 | | 30 | 14 | | 31 | 28 | | 32 | 8 | | 33 | 15 | | 34 | 26 | | 35 | 18 | | 36 | 22 | | 37 | 20 | | 38 | 31 | | 39 | 12 | | 40 | 21 | | 41 | 18 | | 42 | 44 | | 43 | 27 | | 44 | 21 | | 45 | 20 | | 46 | 12 | | 47 | 26 |
| |
| 56.94% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.3541666666666667 | | totalSentences | 48 | | uniqueOpeners | 17 | |
| 75.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 44 | | matches | | 0 | "Then, with a subtle blink," |
| | ratio | 0.023 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 5 | | totalSentences | 44 | | matches | | 0 | "she said finally, her voice" | | 1 | "His deep, smooth voice was" | | 2 | "She hesitated, unsure if she" | | 3 | "He paused, his glance roving" | | 4 | "He inclined his head toward" |
| | ratio | 0.114 | |
| 50.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 36 | | totalSentences | 44 | | matches | | 0 | "The door creaked open, its" | | 1 | "Rory's bright blue eyes narrowed," | | 2 | "Lucien Moreau, resplendent in a" | | 3 | "The amber one seemed to" | | 4 | "Ptolemy, Eva's inquisitive tabby cat," | | 5 | "The silence stretched, punctuated only" | | 6 | "Rory's fingers instinctively went to" | | 7 | "she said finally, her voice" | | 8 | "The three deadbolts on the" | | 9 | "Lucien pushed off from the" | | 10 | "The shadows danced across his" | | 11 | "His deep, smooth voice was" | | 12 | "Rory's eyes flicked to the" | | 13 | "She hesitated, unsure if she" | | 14 | "Ptolemy, as if sensing her" | | 15 | "A small, enigmatic smile played" | | 16 | "Rory closed the door, the" | | 17 | "Rory replied, her eyes drifting" | | 18 | "The cautious tone she'd adopted" | | 19 | "Lucien's smile expanded, his amber" |
| | ratio | 0.818 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 44 | | matches | (empty) | | ratio | 0 | |
| 27.65% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 5 | | matches | | 0 | "Rory's bright blue eyes narrowed, her gaze scanning the landing before settling on the last person she expected to see on her doorstep." | | 1 | "Ptolemy, Eva's inquisitive tabby cat, wove between Rory's legs, rubbing against her calves before fixing Lucien with a disdainful stare." | | 2 | "Rory's eyes flicked to the stairwell, as if expecting an audience to materialize." | | 3 | "Ptolemy, as if sensing her unease, darted between Lucien's legs, leading the way into the flat." | | 4 | "The fleeting touch sent a spark of electricity through Rory, a jarring reminder of the attraction that had once simmered between them." |
| |
| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 2 | | matches | | 0 | "Rory replied, her eyes drifting back to Lucien" | | 1 | "Rory began, her voice low, as he opened the envelope," |
| |
| 78.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "The documents she noted (note)" |
| | dialogueSentences | 14 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0.25 | | effectiveRatio | 0.143 | |