| 78.79% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "He leaned heavily [heavily]" | | 1 | "he said softly [softly]" |
| | dialogueSentences | 33 | | tagDensity | 0.455 | | leniency | 0.909 | | rawRatio | 0.133 | | effectiveRatio | 0.121 | |
| 83.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1492 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "utterly" | | 2 | "really" | | 3 | "softly" |
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| 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) | |
| 29.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1492 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "rhythmic" | | 1 | "measured" | | 2 | "raced" | | 3 | "gleaming" | | 4 | "lilt" | | 5 | "navigating" | | 6 | "familiar" | | 7 | "warmth" | | 8 | "silk" | | 9 | "charged" | | 10 | "porcelain" | | 11 | "pulse" | | 12 | "silence" | | 13 | "navigate" | | 14 | "treacherous" | | 15 | "weight" | | 16 | "tension" | | 17 | "resolve" | | 18 | "profound" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 74 | | matches | | |
| 27.03% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 5 | | narrationSentences | 74 | | filterMatches | | | hedgeMatches | | 0 | "seem to" | | 1 | "seemed to" | | 2 | "started to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1482 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 1046 | | uniqueNames | 13 | | maxNameDensity | 0.86 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Golden | 1 | | Empress | 1 | | Brick | 1 | | Lane | 1 | | Moreau | 1 | | East | 1 | | London | 2 | | French | 1 | | Marseille | 1 | | Eva | 1 | | Lucien | 6 | | Paris | 1 | | Rory | 9 |
| | persons | | 0 | "Moreau" | | 1 | "Eva" | | 2 | "Lucien" | | 3 | "Rory" |
| | places | | 0 | "Golden" | | 1 | "Brick" | | 2 | "Lane" | | 3 | "East" | | 4 | "London" | | 5 | "Marseille" | | 6 | "Paris" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | 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 | 1482 | | matches | (empty) | |
| 94.20% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 92 | | matches | | 0 | "knew that cadence" | | 1 | "realized that some" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 37.05 | | std | 20.82 | | cv | 0.562 | | sampleLengths | | 0 | 81 | | 1 | 4 | | 2 | 36 | | 3 | 41 | | 4 | 35 | | 5 | 62 | | 6 | 31 | | 7 | 25 | | 8 | 47 | | 9 | 52 | | 10 | 2 | | 11 | 2 | | 12 | 2 | | 13 | 42 | | 14 | 32 | | 15 | 70 | | 16 | 20 | | 17 | 66 | | 18 | 32 | | 19 | 53 | | 20 | 33 | | 21 | 24 | | 22 | 37 | | 23 | 62 | | 24 | 39 | | 25 | 33 | | 26 | 56 | | 27 | 49 | | 28 | 11 | | 29 | 8 | | 30 | 32 | | 31 | 18 | | 32 | 36 | | 33 | 76 | | 34 | 54 | | 35 | 28 | | 36 | 30 | | 37 | 35 | | 38 | 14 | | 39 | 72 |
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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 | 166 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 3 | | flaggedSentences | 9 | | totalSentences | 92 | | ratio | 0.098 | | matches | | 0 | "The muffled sounds of the curry house below—the clatter of plates and the distant hum of a bassline—seemed to fade into a vacuum." | | 1 | "One eye, a piercing amber, searched her face; the other, a void of absolute black, seemed to look through her entirely." | | 2 | "But the sight of him—the familiar, sharp elegance of his silhouette—sent a traitorous surge of warmth through her." | | 3 | "The flat was a labyrinth of Eva’s research—stacks of ancient scrolls, crumbling leather-bound books, and loose-leaf notes covering every available inch of the floor and table." | | 4 | "The scent of him—sandalwood, expensive tobacco, and something metallic and ancient—overwhelmed the smell of the curry house." | | 5 | "The silence that followed wasn't empty; it was heavy with the weight of their shared history—the nights in Paris, the whispered promises in the dark, the sudden, violent severance of their connection." | | 6 | "Rory looked at him—really looked at him." | | 7 | "As he leaned in, the distance between them vanishing, she realized that some ghosts don't stay dead—they just wait for the right moment to haunt you all over again." | | 8 | "When his lips finally met hers, it wasn't a gentle reunion; it was a collision, a desperate reclamation of everything they had lost, tasted in the dark of a cramped flat above a street that never slept." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1063 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small, crescent-shaped scar" | | 1 | "faint, razor-thin smile" |
| | adverbCount | 30 | | adverbRatio | 0.028222013170272814 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.012229539040451553 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 16.11 | | std | 9.11 | | cv | 0.566 | | sampleLengths | | 0 | 15 | | 1 | 27 | | 2 | 24 | | 3 | 15 | | 4 | 4 | | 5 | 17 | | 6 | 3 | | 7 | 16 | | 8 | 3 | | 9 | 16 | | 10 | 4 | | 11 | 18 | | 12 | 12 | | 13 | 23 | | 14 | 25 | | 15 | 26 | | 16 | 11 | | 17 | 8 | | 18 | 23 | | 19 | 6 | | 20 | 19 | | 21 | 14 | | 22 | 19 | | 23 | 14 | | 24 | 11 | | 25 | 21 | | 26 | 20 | | 27 | 2 | | 28 | 2 | | 29 | 2 | | 30 | 18 | | 31 | 13 | | 32 | 11 | | 33 | 3 | | 34 | 10 | | 35 | 19 | | 36 | 13 | | 37 | 5 | | 38 | 34 | | 39 | 18 | | 40 | 5 | | 41 | 15 | | 42 | 15 | | 43 | 26 | | 44 | 25 | | 45 | 7 | | 46 | 16 | | 47 | 9 | | 48 | 25 | | 49 | 28 |
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| 49.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.34782608695652173 | | totalSentences | 92 | | uniqueOpeners | 32 | |
| 98.04% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 68 | | matches | | 0 | "Then came the knock." | | 1 | "Instead, he stood in the" |
| | ratio | 0.029 | |
| 31.76% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 68 | | matches | | 0 | "It wasn't the frantic, rhythmic" | | 1 | "It was precise." | | 2 | "She knew that cadence." | | 3 | "She hadn't heard it in" | | 4 | "She pulled the bolts back," | | 5 | "His charcoal suit was immaculate," | | 6 | "He leaned slightly on his" | | 7 | "His voice was a low," | | 8 | "She gripped the edge of" | | 9 | "He offered a faint, razor-thin" | | 10 | "He placed the tip of" | | 11 | "It wasn't a violent gesture," | | 12 | "She wanted to hate him." | | 13 | "She wanted to scream at" | | 14 | "she snapped, stepping back" | | 15 | "He stepped into the flat," | | 16 | "She crossed her arms, leaning" | | 17 | "He turned to her, the" | | 18 | "He took a step toward" | | 19 | "she said, her voice dropping" |
| | ratio | 0.471 | |
| 40.88% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 68 | | matches | | 0 | "The three deadbolts clicked into" | | 1 | "Rory leaned her forehead against" | | 2 | "The scent of ginger, soy," | | 3 | "It wasn't the frantic, rhythmic" | | 4 | "It was precise." | | 5 | "Rory’s heart stuttered." | | 6 | "A cold prickle of recognition" | | 7 | "She knew that cadence." | | 8 | "She hadn't heard it in" | | 9 | "She pulled the bolts back," | | 10 | "Lucien Moreau stood in the" | | 11 | "His charcoal suit was immaculate," | | 12 | "He leaned slightly on his" | | 13 | "The muffled sounds of the" | | 14 | "His voice was a low," | | 15 | "Rory replied, her voice steadier" | | 16 | "She gripped the edge of" | | 17 | "He offered a faint, razor-thin" | | 18 | "Rory started to close the" | | 19 | "He placed the tip of" |
| | ratio | 0.838 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 65.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 5 | | matches | | 0 | "Lucien Moreau stood in the dim corridor, looking as though he had stepped out of a high-fashion editorial and into the grime of East London." | | 1 | "He offered a faint, razor-thin smile that didn't reach his eyes." | | 2 | "The fixer, the man who could navigate the most treacherous underworlds without blinking, looked utterly undone." | | 3 | "The silence that followed wasn't empty; it was heavy with the weight of their shared history—the nights in Paris, the whispered promises in the dark, the sudden…" | | 4 | "But as she looked at the man who had broken her heart, she realized with a sinking, terrifying certainty that she was already falling back into his gravity." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 4 | | matches | | 0 | "Rory replied, her voice steadier than she felt" | | 1 | "she said, her voice dropping an octave" | | 2 | "He leaned heavily, his composure finally fraying at the edges" | | 3 | "she said, her voice trembling despite her resolve," |
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| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 3 | | fancyTags | | 0 | "she snapped (snap)" | | 1 | "he whispered (whisper)" | | 2 | "he murmured (murmur)" |
| | dialogueSentences | 33 | | tagDensity | 0.303 | | leniency | 0.606 | | rawRatio | 0.3 | | effectiveRatio | 0.182 | |