| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 3 | | adverbTags | | 0 | "he said smoothly [smoothly]" | | 1 | "He paused deliberately [deliberately]" | | 2 | "Lucien stated simply [simply]" |
| | dialogueSentences | 28 | | tagDensity | 0.464 | | leniency | 0.929 | | rawRatio | 0.231 | | effectiveRatio | 0.214 | |
| 88.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 870 | | totalAiIsmAdverbs | 2 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
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| | 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) | |
| 42.53% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 870 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "familiar" | | 1 | "magnetic" | | 2 | "flicked" | | 3 | "looming" | | 4 | "furrowed" | | 5 | "eyebrow" | | 6 | "stomach" | | 7 | "pulse" | | 8 | "racing" |
| |
| 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 | 41 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 41 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 56 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 874 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 22.03% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 547 | | uniqueNames | 6 | | maxNameDensity | 2.56 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 11 | | Moreau | 2 | | Curse-breaker | 1 | | Rory | 14 | | Cardiff | 1 | | Damn | 4 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Rory" | | 3 | "Damn" |
| | places | | | globalScore | 0.22 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 35 | | 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 | 874 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 56 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 33.62 | | std | 17.24 | | cv | 0.513 | | sampleLengths | | 0 | 34 | | 1 | 60 | | 2 | 65 | | 3 | 42 | | 4 | 40 | | 5 | 58 | | 6 | 36 | | 7 | 47 | | 8 | 19 | | 9 | 30 | | 10 | 19 | | 11 | 12 | | 12 | 40 | | 13 | 62 | | 14 | 16 | | 15 | 11 | | 16 | 5 | | 17 | 39 | | 18 | 49 | | 19 | 8 | | 20 | 19 | | 21 | 27 | | 22 | 34 | | 23 | 15 | | 24 | 39 | | 25 | 48 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 41 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 100 | | matches | (empty) | |
| 40.82% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 56 | | ratio | 0.036 | | matches | | 0 | "That familiar lopsided smirk played at the corner of his lips as his mismatched eyes - one amber, one black - roamed over her with a predatory gleam." | | 1 | "Even now, years later, the mere sight of him ignited a fiery mix of emotions within her - anger, betrayal, but worst of all, that unbearable tug of magnetic attraction." |
| |
| 99.87% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 548 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.040145985401459854 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.016423357664233577 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 56 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 56 | | mean | 15.61 | | std | 8.55 | | cv | 0.548 | | sampleLengths | | 0 | 27 | | 1 | 7 | | 2 | 20 | | 3 | 28 | | 4 | 12 | | 5 | 10 | | 6 | 16 | | 7 | 30 | | 8 | 9 | | 9 | 8 | | 10 | 19 | | 11 | 15 | | 12 | 13 | | 13 | 27 | | 14 | 20 | | 15 | 23 | | 16 | 15 | | 17 | 19 | | 18 | 10 | | 19 | 7 | | 20 | 47 | | 21 | 19 | | 22 | 20 | | 23 | 10 | | 24 | 13 | | 25 | 6 | | 26 | 12 | | 27 | 10 | | 28 | 28 | | 29 | 2 | | 30 | 20 | | 31 | 13 | | 32 | 29 | | 33 | 16 | | 34 | 11 | | 35 | 3 | | 36 | 2 | | 37 | 20 | | 38 | 19 | | 39 | 6 | | 40 | 26 | | 41 | 17 | | 42 | 8 | | 43 | 4 | | 44 | 15 | | 45 | 15 | | 46 | 12 | | 47 | 6 | | 48 | 28 | | 49 | 11 |
| |
| 80.36% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.48214285714285715 | | totalSentences | 56 | | uniqueOpeners | 27 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 41 | | matches | (empty) | | ratio | 0 | |
| 93.17% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 41 | | matches | | 0 | "he drawled, straightening from his" | | 1 | "Her hand tightened on the" | | 2 | "His heterochromatic gaze turned contemplative" | | 3 | "he said smoothly, not a" | | 4 | "She took a steadying breath" | | 5 | "She slammed the door in" | | 6 | "He paused deliberately, amber eye" | | 7 | "She slammed the door once" | | 8 | "he said with a grimace" | | 9 | "she agreed through clenched teeth" | | 10 | "He turned on his heel," | | 11 | "she called to her tabby" | | 12 | "She needed to get her" |
| | ratio | 0.317 | |
| 33.17% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 35 | | totalSentences | 41 | | matches | | 0 | "Rory flung open the door," | | 1 | "he drawled, straightening from his" | | 2 | "That familiar lopsided smirk played" | | 3 | "Rory hissed, voice laced with" | | 4 | "Her hand tightened on the" | | 5 | "Lucien lifted one manicured shoulder" | | 6 | "His heterochromatic gaze turned contemplative" | | 7 | "Rory felt her face flame" | | 8 | "he said smoothly, not a" | | 9 | "Those damned predatory eyes flicked" | | 10 | "Rory gritted her teeth, fingers" | | 11 | "She took a steadying breath" | | 12 | "She slammed the door in" | | 13 | "Rory growled, spinning back around" | | 14 | "Lucien stood there, looking boredom" | | 15 | "Rory hissed, crossing her arms" | | 16 | "Lucien's mouth twitched into a" | | 17 | "He paused deliberately, amber eye" | | 18 | "Rory snapped, reaching out to" | | 19 | "She slammed the door once" |
| | ratio | 0.854 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 41 | | matches | | 0 | "Even now, years later, the" |
| | ratio | 0.024 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 1 | | matches | | 0 | "Rory nodded curtly, her pulse racing at the thought of revisiting old haunts with Lucien." |
| |
| 86.54% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 1 | | matches | | 0 | "Rory hissed, voice laced with venom" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 7 | | fancyTags | | 0 | "he drawled (drawl)" | | 1 | "Rory hissed (hiss)" | | 2 | "Rory growled (growl)" | | 3 | "Rory hissed (hiss)" | | 4 | "Rory snapped (snap)" | | 5 | "Lucien stated simply (state)" | | 6 | "she agreed (agree)" |
| | dialogueSentences | 28 | | tagDensity | 0.357 | | leniency | 0.714 | | rawRatio | 0.7 | | effectiveRatio | 0.5 | |