| 94.74% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | 0 | "Silas said gently [gently]" |
| | dialogueSentences | 19 | | tagDensity | 0.421 | | leniency | 0.842 | | rawRatio | 0.125 | | effectiveRatio | 0.105 | |
| 67.21% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 610 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | | 2 | | adverb | "barely above a whisper" | | count | 1 |
| | 3 | |
| | highlights | | 0 | "gently" | | 1 | "really" | | 2 | "barely above a whisper" | | 3 | "truly" |
| |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | 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 | 610 | | totalAiIsms | 18 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "flickered" | | 1 | "familiar" | | 2 | "comforting" | | 3 | "solace" | | 4 | "flicker" | | 5 | "depths" | | 6 | "measured" | | 7 | "affection" | | 8 | "weight" | | 9 | "echoed" | | 10 | "reminder" | | 11 | "tracing" | | 12 | "silence" | | 13 | "glinting" | | 14 | "unspoken" | | 15 | "whisper" | | 16 | "could feel" | | 17 | "chill" |
| |
| 0.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 5 | | maxInWindow | 5 | | found | | 0 | | label | "heart pounded in chest" | | count | 1 |
| | 1 | | label | "lump in throat" | | count | 1 |
| | 2 | | label | "couldn't help but" | | count | 2 |
| | 3 | | label | "flicker of emotion" | | count | 1 |
|
| | highlights | | 0 | "heart pounded in her chest" | | 1 | "A lump formed in her throat" | | 2 | "couldn't help but feel" | | 3 | "couldn't help but wonder" | | 4 | "a flicker of recognition" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 34 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 34 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 47 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 610 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 28.32% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 452 | | uniqueNames | 7 | | maxNameDensity | 2.43 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Rory | 11 | | Carter | 1 | | Silas | 6 | | London | 2 | | Vincent | 3 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Carter" | | 4 | "Silas" | | 5 | "Vincent" |
| | places | | | globalScore | 0.283 | | windowScore | 0.667 | |
| 66.67% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 30 | | glossingSentenceCount | 1 | | matches | | 0 | "as if reading her thoughts" |
| |
| 36.07% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.639 | | wordCount | 610 | | matches | | 0 | "not your father, but I've always considered you like a daughter" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 47 | | matches | (empty) | |
| 81.84% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 26.52 | | std | 11.58 | | cv | 0.436 | | sampleLengths | | 0 | 55 | | 1 | 56 | | 2 | 19 | | 3 | 16 | | 4 | 44 | | 5 | 18 | | 6 | 15 | | 7 | 25 | | 8 | 21 | | 9 | 30 | | 10 | 22 | | 11 | 24 | | 12 | 33 | | 13 | 32 | | 14 | 13 | | 15 | 19 | | 16 | 32 | | 17 | 23 | | 18 | 21 | | 19 | 26 | | 20 | 20 | | 21 | 13 | | 22 | 33 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 34 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 80 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 47 | | ratio | 0 | | matches | (empty) | |
| 83.53% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 136 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 8 | | adverbRatio | 0.058823529411764705 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.007352941176470588 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 47 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 47 | | mean | 12.98 | | std | 5.77 | | cv | 0.445 | | sampleLengths | | 0 | 26 | | 1 | 15 | | 2 | 14 | | 3 | 22 | | 4 | 14 | | 5 | 20 | | 6 | 15 | | 7 | 4 | | 8 | 9 | | 9 | 7 | | 10 | 17 | | 11 | 14 | | 12 | 13 | | 13 | 15 | | 14 | 3 | | 15 | 5 | | 16 | 10 | | 17 | 8 | | 18 | 17 | | 19 | 11 | | 20 | 10 | | 21 | 15 | | 22 | 15 | | 23 | 22 | | 24 | 12 | | 25 | 12 | | 26 | 14 | | 27 | 19 | | 28 | 16 | | 29 | 16 | | 30 | 9 | | 31 | 4 | | 32 | 14 | | 33 | 5 | | 34 | 15 | | 35 | 17 | | 36 | 13 | | 37 | 10 | | 38 | 10 | | 39 | 11 | | 40 | 13 | | 41 | 13 | | 42 | 13 | | 43 | 7 | | 44 | 5 | | 45 | 8 | | 46 | 33 |
| |
| 75.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.46808510638297873 | | totalSentences | 47 | | uniqueOpeners | 22 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 34 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 34 | | matches | | 0 | "She took a deep breath," | | 1 | "It had been far too" | | 2 | "His eyes meet hers, and" | | 3 | "he said, his voice warm" | | 4 | "She'd left London so abruptly," | | 5 | "She nodded, her throat tightening." | | 6 | "It was late when the" | | 7 | "She could feel" | | 8 | "She glanced back at Silas," | | 9 | "she said, her words feeling" |
| | ratio | 0.294 | |
| 48.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 28 | | totalSentences | 34 | | matches | | 0 | "The dim lights of The" | | 1 | "She took a deep breath," | | 2 | "It had been far too" | | 3 | "His eyes meet hers, and" | | 4 | "he said, his voice warm" | | 5 | "Rory replied, mustering a smile" | | 6 | "She'd left London so abruptly," | | 7 | "Eva's words echoed in her" | | 8 | "Silas said gently, as if" | | 9 | "She nodded, her throat tightening." | | 10 | "Silas studied her, his keen" | | 11 | "Rory shifted uncomfortably, her fingers" | | 12 | "A heavy silence fell between" | | 13 | "Silas leaned forward, his signet" | | 14 | "A lump formed in her" | | 15 | "It was late when the" | | 16 | "Rory glanced up, her breath" | | 17 | "the man said, his voice" | | 18 | "Rory felt the blood drain" | | 19 | "Time seemed to stand still" |
| | ratio | 0.824 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 34 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 1 | | matches | | 0 | "But beneath the surface, Rory could sense the undercurrent of unspoken words, the regret that hung heavy between them." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 5 | | matches | | 0 | "Silas said gently, as if reading her thoughts" | | 1 | "the man said, his voice rich with disbelief" | | 2 | "Rory asked, her voice barely above a whisper" | | 3 | "She could, his curiosity piqued" | | 4 | "she said, her words feeling thick and clumsy" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 19 | | tagDensity | 0.316 | | leniency | 0.632 | | rawRatio | 0 | | effectiveRatio | 0 | |