| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 57.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 706 | | totalAiIsmAdverbs | 6 | | found | | 0 | | adverb | "barely above a whisper" | | count | 2 |
| | 1 | | | 2 | | | 3 | |
| | highlights | | 0 | "barely above a whisper" | | 1 | "suddenly" | | 2 | "really" | | 3 | "slowly" |
| |
| 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) | |
| 29.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 706 | | totalAiIsms | 10 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | word | "down my spine" | | count | 1 |
| | 7 | | | 8 | |
| | highlights | | 0 | "familiar" | | 1 | "whisper" | | 2 | "scanning" | | 3 | "weight" | | 4 | "perfect" | | 5 | "chill" | | 6 | "down my spine" | | 7 | "eyebrow" | | 8 | "unreadable" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "wave of emotion" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "a wave of fear" |
| |
| 11.36% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 6 | | narrationSentences | 44 | | matches | | 0 | "felt a flush" | | 1 | "felt a shiver" | | 2 | "a surge of anger" | | 3 | "felt a chill" | | 4 | "a surge of relief" | | 5 | "a wave of fear" |
| |
| 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 | 64 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 705 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 40.35% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 10 | | wordCount | 456 | | uniqueNames | 1 | | maxNameDensity | 2.19 | | worstName | "Lucien" | | maxWindowNameDensity | 3 | | worstWindowName | "Lucien" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.404 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 41 | | 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 | 705 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 64 | | matches | (empty) | |
| 64.98% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 22.74 | | std | 8.58 | | cv | 0.377 | | sampleLengths | | 0 | 41 | | 1 | 15 | | 2 | 25 | | 3 | 22 | | 4 | 13 | | 5 | 24 | | 6 | 39 | | 7 | 26 | | 8 | 30 | | 9 | 25 | | 10 | 16 | | 11 | 27 | | 12 | 28 | | 13 | 7 | | 14 | 22 | | 15 | 23 | | 16 | 26 | | 17 | 17 | | 18 | 18 | | 19 | 27 | | 20 | 15 | | 21 | 33 | | 22 | 22 | | 23 | 14 | | 24 | 6 | | 25 | 34 | | 26 | 7 | | 27 | 29 | | 28 | 25 | | 29 | 18 | | 30 | 31 |
| |
| 97.29% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 44 | | matches | | |
| 50.19% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 89 | | matches | | 0 | "was wearing" | | 1 | "was referring" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 64 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 457 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.030634573304157548 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.0175054704595186 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 64 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 64 | | mean | 11.02 | | std | 4.77 | | cv | 0.433 | | sampleLengths | | 0 | 8 | | 1 | 16 | | 2 | 17 | | 3 | 8 | | 4 | 7 | | 5 | 9 | | 6 | 11 | | 7 | 5 | | 8 | 8 | | 9 | 14 | | 10 | 10 | | 11 | 3 | | 12 | 24 | | 13 | 12 | | 14 | 12 | | 15 | 15 | | 16 | 14 | | 17 | 12 | | 18 | 14 | | 19 | 12 | | 20 | 4 | | 21 | 10 | | 22 | 15 | | 23 | 12 | | 24 | 4 | | 25 | 10 | | 26 | 17 | | 27 | 11 | | 28 | 17 | | 29 | 7 | | 30 | 8 | | 31 | 14 | | 32 | 12 | | 33 | 11 | | 34 | 8 | | 35 | 18 | | 36 | 9 | | 37 | 8 | | 38 | 3 | | 39 | 15 | | 40 | 8 | | 41 | 19 | | 42 | 15 | | 43 | 16 | | 44 | 17 | | 45 | 13 | | 46 | 9 | | 47 | 7 | | 48 | 7 | | 49 | 4 |
| |
| 47.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.359375 | | totalSentences | 64 | | uniqueOpeners | 23 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 44 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 44 | | matches | | 0 | "His platinum blond hair was" | | 1 | "He stood there, impeccably dressed" | | 2 | "he said, his voice smooth" | | 3 | "I stood frozen, my hand" | | 4 | "I managed to say, my" | | 5 | "He stepped forward, his eyes" | | 6 | "I felt a flush of" | | 7 | "He smiled, but there was" | | 8 | "I shifted my weight, suddenly" | | 9 | "My thin tank top and" | | 10 | "I said, trying to keep" | | 11 | "he said, his voice low" | | 12 | "I swallowed hard, trying to" | | 13 | "I said, stepping back from" | | 14 | "He stepped into the flat," | | 15 | "I crossed my arms over" | | 16 | "I frowned, trying to remember" | | 17 | "It had been months since" | | 18 | "I asked, my voice sharp" | | 19 | "I felt a surge of" |
| | ratio | 0.727 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 41 | | totalSentences | 44 | | matches | | 0 | "The door creaked open, revealing" | | 1 | "His platinum blond hair was" | | 2 | "He stood there, impeccably dressed" | | 3 | "he said, his voice smooth" | | 4 | "I stood frozen, my hand" | | 5 | "I managed to say, my" | | 6 | "He stepped forward, his eyes" | | 7 | "I felt a flush of" | | 8 | "He smiled, but there was" | | 9 | "I shifted my weight, suddenly" | | 10 | "My thin tank top and" | | 11 | "I said, trying to keep" | | 12 | "Lucien's gaze traveled down my" | | 13 | "he said, his voice low" | | 14 | "I swallowed hard, trying to" | | 15 | "I said, stepping back from" | | 16 | "He stepped into the flat," | | 17 | "I crossed my arms over" | | 18 | "Lucien walked over to the" | | 19 | "I frowned, trying to remember" |
| | ratio | 0.932 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 44 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 8 | | matches | | 0 | "he said, his voice smooth and cultured" | | 1 | "I managed, my voice barely above a whisper" | | 2 | "I said, trying to keep my tone light" | | 3 | "he said, his voice low and suggestive" | | 4 | "I asked, my voice sharp" | | 5 | "I asked, my voice barely above a whisper" | | 6 | "I said, my voice barely audible" | | 7 | "he said, his voice low and urgent" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 30 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0.111 | | effectiveRatio | 0.067 | |