| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "I pleaded weakly [weakly]" |
| | dialogueSentences | 21 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.111 | | effectiveRatio | 0.095 | |
| 67.66% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 773 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | adverb | "barely above a whisper" | | count | 1 |
|
| | highlights | | 0 | "cautiously" | | 1 | "nervously" | | 2 | "quickly" | | 3 | "slightly" | | 4 | "barely above a whisper" |
| |
| 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) | |
| 48.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 773 | | totalAiIsms | 8 | | found | | 0 | | | 1 | | word | "down my spine" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | |
| | highlights | | 0 | "whisper" | | 1 | "down my spine" | | 2 | "familiar" | | 3 | "reminder" | | 4 | "searing" | | 5 | "desire" | | 6 | "warmth" | | 7 | "weight" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 50 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 50 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 62 | | 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 | 773 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 3 | | wordCount | 578 | | uniqueNames | 2 | | maxNameDensity | 0.35 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | 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 | 773 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 62 | | matches | | |
| 60.43% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 40.68 | | std | 14.71 | | cv | 0.362 | | sampleLengths | | 0 | 49 | | 1 | 43 | | 2 | 19 | | 3 | 56 | | 4 | 29 | | 5 | 29 | | 6 | 17 | | 7 | 35 | | 8 | 33 | | 9 | 51 | | 10 | 46 | | 11 | 57 | | 12 | 35 | | 13 | 29 | | 14 | 20 | | 15 | 43 | | 16 | 49 | | 17 | 66 | | 18 | 67 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 50 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 100 | | matches | | |
| 50.69% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 62 | | ratio | 0.032 | | matches | | 0 | "As she brushed past me, I caught a whiff of her familiar scent - vanilla and jasmine." | | 1 | "Memories of our final argument flooded back - the hurtful words exchanged, the tears shed." |
| |
| 87.51% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 578 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.05190311418685121 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.02249134948096886 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 62 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 62 | | mean | 12.47 | | std | 6.9 | | cv | 0.554 | | sampleLengths | | 0 | 7 | | 1 | 9 | | 2 | 13 | | 3 | 6 | | 4 | 3 | | 5 | 10 | | 6 | 1 | | 7 | 14 | | 8 | 15 | | 9 | 9 | | 10 | 5 | | 11 | 12 | | 12 | 7 | | 13 | 16 | | 14 | 10 | | 15 | 17 | | 16 | 13 | | 17 | 18 | | 18 | 11 | | 19 | 19 | | 20 | 10 | | 21 | 11 | | 22 | 6 | | 23 | 2 | | 24 | 9 | | 25 | 9 | | 26 | 3 | | 27 | 12 | | 28 | 13 | | 29 | 20 | | 30 | 15 | | 31 | 16 | | 32 | 4 | | 33 | 16 | | 34 | 20 | | 35 | 26 | | 36 | 8 | | 37 | 39 | | 38 | 10 | | 39 | 9 | | 40 | 10 | | 41 | 7 | | 42 | 9 | | 43 | 5 | | 44 | 15 | | 45 | 9 | | 46 | 10 | | 47 | 10 | | 48 | 4 | | 49 | 24 |
| |
| 69.35% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.43548387096774194 | | totalSentences | 62 | | uniqueOpeners | 27 | |
| 69.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 48 | | matches | | 0 | "Cautiously, I approached the entrance" |
| | ratio | 0.021 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 48 | | matches | | 0 | "I wasn't expecting anyone, especially" | | 1 | "My breath caught in my" | | 2 | "It couldn't be." | | 3 | "I quickly unlatched the three" | | 4 | "I breathed, my voice barely" | | 5 | "She met my gaze, a" | | 6 | "I stepped aside, allowing her" | | 7 | "It transported me back to" | | 8 | "she murmured with a small" | | 9 | "I shut the door behind" | | 10 | "She turned to face me" | | 11 | "I sighed heavily." | | 12 | "she exclaimed, frustration bleeding into" | | 13 | "I could still see the" | | 14 | "My heart clenched painfully." | | 15 | "She took a step closer," | | 16 | "I captured her wrist, halting" | | 17 | "My thumb brushed the small" | | 18 | "Her free hand came up" | | 19 | "I leaned into her touch" |
| | ratio | 0.625 | |
| 53.75% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 39 | | totalSentences | 48 | | matches | | 0 | "The knock at the door" | | 1 | "I wasn't expecting anyone, especially" | | 2 | "My breath caught in my" | | 3 | "It couldn't be." | | 4 | "I quickly unlatched the three" | | 5 | "I breathed, my voice barely" | | 6 | "She met my gaze, a" | | 7 | "I stepped aside, allowing her" | | 8 | "It transported me back to" | | 9 | "Rory took in the cramped" | | 10 | "she murmured with a small" | | 11 | "I shut the door behind" | | 12 | "She turned to face me" | | 13 | "The day she'd return to" | | 14 | "I sighed heavily." | | 15 | "she exclaimed, frustration bleeding into" | | 16 | "Memories of our final argument" | | 17 | "I could still see the" | | 18 | "My heart clenched painfully." | | 19 | "She took a step closer," |
| | ratio | 0.813 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 48 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 1 | | matches | | 0 | "But my traitorous arms were already snaking around her waist, pulling her flush against me." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 3 | | matches | | 0 | "I breathed, my voice barely above a whisper" | | 1 | "she exclaimed, frustration bleeding into her voice" | | 2 | "she whispered, eyes LOCKED on my mouth" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 5 | | fancyTags | | 0 | "I breathed (breathe)" | | 1 | "she murmured (murmur)" | | 2 | "she exclaimed (exclaim)" | | 3 | "I pleaded weakly (plead)" | | 4 | "she whispered (whisper)" |
| | dialogueSentences | 21 | | tagDensity | 0.238 | | leniency | 0.476 | | rawRatio | 1 | | effectiveRatio | 0.476 | |