| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said finally [finally]" | | 1 | "Eva asked suddenly [suddenly]" |
| | dialogueSentences | 41 | | tagDensity | 0.488 | | leniency | 0.976 | | rawRatio | 0.1 | | effectiveRatio | 0.098 | |
| 75.28% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 809 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
| | 2 | | | 3 | |
| | highlights | | 0 | "slightly" | | 1 | "barely above a whisper" | | 2 | "slowly" | | 3 | "suddenly" |
| |
| 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 | 809 | | totalAiIsms | 25 | | found | | 0 | | | 1 | | word | "practiced ease" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "symphony" | | 1 | "practiced ease" | | 2 | "glint" | | 3 | "navigated" | | 4 | "tracing" | | 5 | "reminder" | | 6 | "weight" | | 7 | "unspoken" | | 8 | "silence" | | 9 | "unreadable" | | 10 | "echo" | | 11 | "tension" | | 12 | "whisper" | | 13 | "familiar" | | 14 | "eyebrow" | | 15 | "warmth" | | 16 | "flicker" | | 17 | "sense of" | | 18 | "comforting" | | 19 | "tinged" |
| |
| 0.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 4 | | maxInWindow | 4 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "weight of words/silence" | | count | 1 |
| | 2 | | label | "flicker of emotion" | | count | 2 |
|
| | highlights | | 0 | "eyes widened" | | 1 | "The weight of unspoken words" | | 2 | "a flicker of hope" | | 3 | "a glimmer of hope" |
| |
| 94.70% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 55 | | matches | | 0 | "a flicker of hope" | | 1 | "d with sadness" |
| |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 55 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 75 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 807 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 626 | | uniqueNames | 7 | | maxNameDensity | 3.04 | | worstName | "Rory" | | maxWindowNameDensity | 5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Aurora | 1 | | Rory | 19 | | Silas | 3 | | Eva | 18 | | Silence | 1 |
| | persons | | 0 | "Raven" | | 1 | "Aurora" | | 2 | "Rory" | | 3 | "Silas" | | 4 | "Eva" | | 5 | "Silence" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | 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 | 807 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 75 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 23.06 | | std | 11.76 | | cv | 0.51 | | sampleLengths | | 0 | 36 | | 1 | 45 | | 2 | 29 | | 3 | 34 | | 4 | 33 | | 5 | 24 | | 6 | 16 | | 7 | 29 | | 8 | 24 | | 9 | 10 | | 10 | 23 | | 11 | 13 | | 12 | 25 | | 13 | 16 | | 14 | 35 | | 15 | 19 | | 16 | 15 | | 17 | 16 | | 18 | 14 | | 19 | 39 | | 20 | 9 | | 21 | 19 | | 22 | 12 | | 23 | 13 | | 24 | 35 | | 25 | 14 | | 26 | 16 | | 27 | 12 | | 28 | 45 | | 29 | 14 | | 30 | 18 | | 31 | 16 | | 32 | 12 | | 33 | 59 | | 34 | 18 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 55 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 114 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 75 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 628 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.030254777070063694 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.012738853503184714 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 75 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 75 | | mean | 10.76 | | std | 5.13 | | cv | 0.477 | | sampleLengths | | 0 | 24 | | 1 | 12 | | 2 | 7 | | 3 | 13 | | 4 | 14 | | 5 | 11 | | 6 | 14 | | 7 | 15 | | 8 | 14 | | 9 | 20 | | 10 | 17 | | 11 | 16 | | 12 | 13 | | 13 | 11 | | 14 | 11 | | 15 | 5 | | 16 | 20 | | 17 | 9 | | 18 | 8 | | 19 | 16 | | 20 | 6 | | 21 | 4 | | 22 | 16 | | 23 | 7 | | 24 | 8 | | 25 | 5 | | 26 | 9 | | 27 | 16 | | 28 | 9 | | 29 | 7 | | 30 | 7 | | 31 | 15 | | 32 | 8 | | 33 | 5 | | 34 | 11 | | 35 | 8 | | 36 | 11 | | 37 | 4 | | 38 | 9 | | 39 | 7 | | 40 | 9 | | 41 | 5 | | 42 | 16 | | 43 | 16 | | 44 | 7 | | 45 | 6 | | 46 | 3 | | 47 | 11 | | 48 | 8 | | 49 | 9 |
| |
| 81.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5066666666666667 | | totalSentences | 75 | | uniqueOpeners | 38 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 55 | | matches | | 0 | "she replied, disbelief colouring her" | | 1 | "Her eyes, once full of" | | 2 | "Her movements were deliberate, as" | | 3 | "She gestured to Silas, who" | | 4 | "He moved away, giving them" | | 5 | "she observed, her voice carrying" | | 6 | "she said, her voice clipped" | | 7 | "she asked, changing the subject" | | 8 | "she said finally, her voice" | | 9 | "she admitted, her voice barely" | | 10 | "she offered, the words surprising" | | 11 | "They sat in companionable silence," |
| | ratio | 0.218 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 55 | | matches | | 0 | "The voice cut through the" | | 1 | "Aurora turned, her heart skipping" | | 2 | "she replied, disbelief colouring her" | | 3 | "The woman before her was" | | 4 | "Eva's once vibrant red hair" | | 5 | "Her eyes, once full of" | | 6 | "Eva said, sliding onto the" | | 7 | "Her movements were deliberate, as" | | 8 | "Rory replied, her voice steady" | | 9 | "She gestured to Silas, who" | | 10 | "Silas said, his hazel eyes" | | 11 | "He moved away, giving them" | | 12 | "Eva took a sip of" | | 13 | "she observed, her voice carrying" | | 14 | "Rory shrugged, tracing the rim" | | 15 | "Eva's gaze dropped to Rory's" | | 16 | "A silent reminder of a" | | 17 | "Rory admitted, meeting Eva's eyes" | | 18 | "The weight of unspoken words" | | 19 | "Eva leaned back, her expression" |
| | ratio | 0.927 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 57.14% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 3 | | matches | | 0 | "Her movements were deliberate, as if she were testing the waters of an unfamiliar sea." | | 1 | "Rory studied her friend, seeing the cracks beneath the surface, the fractures that time and distance had wrought." | | 2 | "The bar buzzed around them, a living, breathing entity that held its own secrets and stories." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 12 | | matches | | 0 | "she replied, disbelief colouring her tone" | | 1 | "she observed, her voice carrying a hint of accusation" | | 2 | "she said, her voice clipped" | | 3 | "Eva countered, her tone softening" | | 4 | "Eva said, her voice barely above a whisper" | | 5 | "she said finally, her voice lacking conviction" | | 6 | "Rory replied, her smile fading" | | 7 | "she admitted, her voice barely audible over the din of the bar" | | 8 | "Rory said, her tone wry" | | 9 | "she offered, the words surprising even herself" | | 10 | "Eva asked suddenly, her voice wistful" | | 11 | "Rory admitted, her mind drifting back to sunlit afternoons and whispered confidences" |
| |
| 28.05% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 5 | | fancyTags | | 0 | "she observed (observe)" | | 1 | "Rory admitted (admit)" | | 2 | "she admitted (admit)" | | 3 | "Rory admitted (admit)" | | 4 | "Eva agreed (agree)" |
| | dialogueSentences | 41 | | tagDensity | 0.415 | | leniency | 0.829 | | rawRatio | 0.294 | | effectiveRatio | 0.244 | |