| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said softly [softly]" |
| | dialogueSentences | 44 | | tagDensity | 0.341 | | leniency | 0.682 | | rawRatio | 0.067 | | effectiveRatio | 0.045 | |
| 82.56% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1147 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | | 2 | | adverb | "barely above a whisper" | | count | 1 |
| | 3 | |
| | highlights | | 0 | "sharply" | | 1 | "softly" | | 2 | "barely above a whisper" | | 3 | "really" |
| |
| 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 | 1147 | | totalAiIsms | 27 | | found | | | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "scanned" | | 3 | "wavered" | | 4 | "pang" | | 5 | "sense of" | | 6 | "flicked" | | 7 | "whisper" | | 8 | "unspoken" | | 9 | "enigmatic" | | 10 | "silence" | | 11 | "could feel" | | 12 | "tinged" | | 13 | "flicker" | | 14 | "reminder" | | 15 | "glint" | | 16 | "racing" |
| |
| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "couldn't help but" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
| | 2 | | label | "flicker of emotion" | | count | 1 |
|
| | highlights | | 0 | "couldn't help but wonder" | | 1 | "hung in the air" | | 2 | "a glimmer of hope" |
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| 79.95% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 4 | | narrationSentences | 74 | | matches | | 0 | "a pang of nostalgia" | | 1 | "d with sadness" | | 2 | "a sense of relief" | | 3 | "was content" |
| |
| 84.94% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 74 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 103 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1140 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 60 | | wordCount | 877 | | uniqueNames | 9 | | maxNameDensity | 2.85 | | worstName | "Rory" | | maxWindowNameDensity | 5 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 1 | | Raven | 3 | | Nest | 3 | | Eva | 22 | | Rory | 25 | | Golden | 1 | | Empress | 1 | | Silas | 3 | | London | 1 |
| | persons | | 0 | "Carter" | | 1 | "Raven" | | 2 | "Eva" | | 3 | "Rory" | | 4 | "Silas" |
| | places | | | globalScore | 0.075 | | windowScore | 0 | |
| 0.75% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 4 | | matches | | 0 | "not quite reaching her eyes" | | 1 | "as if reading her thoughts" | | 2 | "felt like old times" | | 3 | "It was as if they were rediscovering each other, piece by piece" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1140 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 103 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 23.75 | | std | 15.78 | | cv | 0.664 | | sampleLengths | | 0 | 4 | | 1 | 56 | | 2 | 10 | | 3 | 43 | | 4 | 17 | | 5 | 15 | | 6 | 59 | | 7 | 18 | | 8 | 19 | | 9 | 11 | | 10 | 34 | | 11 | 22 | | 12 | 24 | | 13 | 21 | | 14 | 12 | | 15 | 53 | | 16 | 9 | | 17 | 19 | | 18 | 17 | | 19 | 54 | | 20 | 25 | | 21 | 22 | | 22 | 19 | | 23 | 10 | | 24 | 51 | | 25 | 15 | | 26 | 24 | | 27 | 9 | | 28 | 16 | | 29 | 9 | | 30 | 51 | | 31 | 41 | | 32 | 18 | | 33 | 17 | | 34 | 4 | | 35 | 48 | | 36 | 18 | | 37 | 16 | | 38 | 18 | | 39 | 10 | | 40 | 10 | | 41 | 35 | | 42 | 18 | | 43 | 12 | | 44 | 16 | | 45 | 11 | | 46 | 61 | | 47 | 19 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 74 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 158 | | matches | | |
| 31.90% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 103 | | ratio | 0.039 | | matches | | 0 | "She looked different—older, more polished." | | 1 | "She signaled the bartender, who nodded and began preparing her usual—a gin and tonic." | | 2 | "Eva looked at her, a flicker of something—regret, perhaps—crossing her face." | | 3 | "She felt a mix of emotions—hope, regret, and a longing for what might have been." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 884 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.030542986425339366 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.00904977375565611 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 103 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 103 | | mean | 11.07 | | std | 6 | | cv | 0.542 | | sampleLengths | | 0 | 4 | | 1 | 8 | | 2 | 13 | | 3 | 22 | | 4 | 13 | | 5 | 10 | | 6 | 10 | | 7 | 5 | | 8 | 16 | | 9 | 12 | | 10 | 12 | | 11 | 5 | | 12 | 8 | | 13 | 7 | | 14 | 8 | | 15 | 14 | | 16 | 8 | | 17 | 22 | | 18 | 7 | | 19 | 18 | | 20 | 6 | | 21 | 13 | | 22 | 8 | | 23 | 3 | | 24 | 29 | | 25 | 5 | | 26 | 10 | | 27 | 12 | | 28 | 15 | | 29 | 7 | | 30 | 2 | | 31 | 6 | | 32 | 12 | | 33 | 3 | | 34 | 12 | | 35 | 21 | | 36 | 14 | | 37 | 18 | | 38 | 9 | | 39 | 19 | | 40 | 13 | | 41 | 4 | | 42 | 14 | | 43 | 17 | | 44 | 23 | | 45 | 11 | | 46 | 14 | | 47 | 10 | | 48 | 12 | | 49 | 6 |
| |
| 57.93% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.3592233009708738 | | totalSentences | 103 | | uniqueOpeners | 37 | |
| 47.62% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 70 | | matches | | 0 | "Instead, she focused on the" |
| | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 70 | | matches | | 0 | "She scanned the dimly lit" | | 1 | "She looked different—older, more polished." | | 2 | "Her once wild curls were" | | 3 | "She signaled the bartender, who" | | 4 | "she said softly" | | 5 | "she said, her voice barely" | | 6 | "She remembered the nights she" | | 7 | "He had become a mentor" | | 8 | "They lapsed into silence, the" | | 9 | "She wanted to ask Eva" | | 10 | "They sat in silence, the" | | 11 | "She wondered if things could" | | 12 | "They clinked their glasses together," | | 13 | "It was as if they" | | 14 | "They continued to reminisce, the" | | 15 | "She realized that despite the" | | 16 | "They stood up, and Eva" | | 17 | "They parted ways, and Rory" | | 18 | "She felt a mix of" | | 19 | "She made her way up" |
| | ratio | 0.286 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 70 | | matches | | 0 | "Aurora Carter turned sharply, nearly" | | 1 | "The voice was familiar, yet" | | 2 | "She scanned the dimly lit" | | 3 | "There, standing by the entrance," | | 4 | "Rory's voice wavered, a mix" | | 5 | "Eva stepped forward, her heels" | | 6 | "She looked different—older, more polished." | | 7 | "Her once wild curls were" | | 8 | "Rory felt a pang of" | | 9 | "Eva said, her smile not" | | 10 | "Rory gestured to the empty" | | 11 | "Eva sat down, her movements" | | 12 | "She signaled the bartender, who" | | 13 | "Rory watched, feeling a strange" | | 14 | "This was the same Eva" | | 15 | "Rory asked, trying to bridge" | | 16 | "Eva replied, her tone clipped" | | 17 | "Rory nodded, taking a sip" | | 18 | "Eva's eyes flicked to Rory's" | | 19 | "Rory bristled at the question," |
| | ratio | 0.857 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 2 | | matches | | 0 | "She signaled the bartender, who nodded and began preparing her usual—a gin and tonic." | | 1 | "Rory looked away, her eyes landing on the old maps and black-and-white photographs that adorned the walls of The Raven's Nest." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 7 | | matches | | 0 | "Rory's voice wavered, a mix of surprise and uncertainty" | | 1 | "Rory asked, trying to bridge the gap that had formed between them" | | 2 | "Eva replied, her tone clipped" | | 3 | "she said, her voice barely above a whisper" | | 4 | "Eva asked, as if reading her thoughts" | | 5 | "Rory replied, a hint of fondness in her voice" | | 6 | "Rory asked, her voice barely audible" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 2 | | fancyTags | | 0 | "she admitted (admit)" | | 1 | "Rory agreed (agree)" |
| | dialogueSentences | 44 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0.167 | | effectiveRatio | 0.091 | |