| 21.43% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 28 | | adverbTagCount | 5 | | adverbTags | | 0 | "The single syllable struck like [like]" | | 1 | "I said instead [instead]" | | 2 | "she said again [again]" | | 3 | "My words came too [too]" | | 4 | "I said softly [softly]" |
| | dialogueSentences | 55 | | tagDensity | 0.509 | | leniency | 1 | | rawRatio | 0.179 | | effectiveRatio | 0.179 | |
| 82.31% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1413 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "sharply" | | 1 | "quickly" | | 2 | "slowly" | | 3 | "slightly" | | 4 | "softly" |
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| 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) | |
| 8.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1413 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "gleaming" | | 1 | "lilt" | | 2 | "looming" | | 3 | "trembled" | | 4 | "weight" | | 5 | "marble" | | 6 | "flickered" | | 7 | "flicked" | | 8 | "amiss" | | 9 | "silence" | | 10 | "traced" | | 11 | "warmth" | | 12 | "tracing" | | 13 | "tension" | | 14 | "pulsed" | | 15 | "echoed" | | 16 | "unreadable" | | 17 | "pulse" | | 18 | "flicker" | | 19 | "scanning" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 159 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 159 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 185 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1402 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 1127 | | uniqueNames | 6 | | maxNameDensity | 0.44 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Scotch | 1 | | Cardiff | 1 | | Soho | 1 | | Evan | 1 | | Eva | 3 | | Silas | 5 |
| | persons | | 0 | "Scotch" | | 1 | "Evan" | | 2 | "Eva" | | 3 | "Silas" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 88 | | 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 | 1402 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 185 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 65 | | mean | 21.57 | | std | 15.25 | | cv | 0.707 | | sampleLengths | | 0 | 9 | | 1 | 40 | | 2 | 64 | | 3 | 25 | | 4 | 22 | | 5 | 34 | | 6 | 11 | | 7 | 7 | | 8 | 57 | | 9 | 7 | | 10 | 16 | | 11 | 43 | | 12 | 9 | | 13 | 34 | | 14 | 16 | | 15 | 14 | | 16 | 17 | | 17 | 6 | | 18 | 37 | | 19 | 46 | | 20 | 13 | | 21 | 27 | | 22 | 52 | | 23 | 36 | | 24 | 9 | | 25 | 25 | | 26 | 40 | | 27 | 9 | | 28 | 63 | | 29 | 39 | | 30 | 19 | | 31 | 12 | | 32 | 4 | | 33 | 8 | | 34 | 6 | | 35 | 17 | | 36 | 8 | | 37 | 13 | | 38 | 18 | | 39 | 30 | | 40 | 4 | | 41 | 16 | | 42 | 29 | | 43 | 8 | | 44 | 10 | | 45 | 30 | | 46 | 10 | | 47 | 15 | | 48 | 10 | | 49 | 38 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 159 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 234 | | matches | (empty) | |
| 34.75% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 185 | | ratio | 0.038 | | matches | | 0 | "She hadn’t changed entirely—those pale green eyes still held the same cool appraisal—but the rest of her had sharpened into lines and angles." | | 1 | "I glanced at the door behind her—no friends waiting, no uniformed regulars looming." | | 2 | "Behind her, the wall of sepia photographs watched us—men in bowler hats, women draped in pearls." | | 3 | "Past mistakes flashed behind my lids—Evan’s name on every drunken scribble, the bruises I’d hidden under sleeves." | | 4 | "At least Eva—my Eva—had brought me here." | | 5 | "I felt the old sting—her tendency to push me into corners with questions." | | 6 | "Something in his stance shifted—an old tension stirred." |
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| 94.21% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1137 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 53 | | adverbRatio | 0.04661389621811785 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.0079155672823219 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 185 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 185 | | mean | 7.58 | | std | 5.05 | | cv | 0.667 | | sampleLengths | | 0 | 9 | | 1 | 18 | | 2 | 13 | | 3 | 9 | | 4 | 23 | | 5 | 24 | | 6 | 9 | | 7 | 8 | | 8 | 11 | | 9 | 10 | | 10 | 4 | | 11 | 4 | | 12 | 15 | | 13 | 3 | | 14 | 13 | | 15 | 4 | | 16 | 5 | | 17 | 12 | | 18 | 6 | | 19 | 5 | | 20 | 4 | | 21 | 3 | | 22 | 2 | | 23 | 8 | | 24 | 17 | | 25 | 13 | | 26 | 8 | | 27 | 9 | | 28 | 7 | | 29 | 9 | | 30 | 7 | | 31 | 6 | | 32 | 10 | | 33 | 16 | | 34 | 4 | | 35 | 7 | | 36 | 7 | | 37 | 2 | | 38 | 5 | | 39 | 3 | | 40 | 6 | | 41 | 13 | | 42 | 6 | | 43 | 1 | | 44 | 16 | | 45 | 3 | | 46 | 5 | | 47 | 6 | | 48 | 11 | | 49 | 6 |
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| 42.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.2864864864864865 | | totalSentences | 185 | | uniqueOpeners | 53 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 142 | | matches | | 0 | "Always my back to the" | | 1 | "Then she cleared her throat." | | 2 | "At least Eva—my Eva—had brought" | | 3 | "Then she said something she" | | 4 | "Instead my chest squeezed." | | 5 | "Then she let it fall." | | 6 | "Then he turned and vanished" |
| | ratio | 0.049 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 85 | | totalSentences | 142 | | matches | | 0 | "I stood with a damp" | | 1 | "I let the rag drop" | | 2 | "She hadn’t changed entirely—those pale" | | 3 | "Her hair, once soft curls" | | 4 | "She wore a charcoal suit" | | 5 | "I stopped a foot from" | | 6 | "She raised one brow." | | 7 | "Her voice had shed its" | | 8 | "I glanced at the door" | | 9 | "My own voice felt foreign." | | 10 | "She did not smile." | | 11 | "I remembered nights when I’d" | | 12 | "I said instead" | | 13 | "She tapped the marble bar" | | 14 | "I had no answer for" | | 15 | "I knew too well how" | | 16 | "she said again, soft this" | | 17 | "My heart thudded." | | 18 | "I pulled out a stool" | | 19 | "She flicked her gaze to" |
| | ratio | 0.599 | |
| 9.30% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 128 | | totalSentences | 142 | | matches | | 0 | "The single syllable struck like" | | 1 | "I stood with a damp" | | 2 | "The green neon above the" | | 3 | "I let the rag drop" | | 4 | "She hadn’t changed entirely—those pale" | | 5 | "Her hair, once soft curls" | | 6 | "She wore a charcoal suit" | | 7 | "A stiletto heel tapped the" | | 8 | "I stopped a foot from" | | 9 | "The bar’s bourbon glass rattled" | | 10 | "She raised one brow." | | 11 | "Her voice had shed its" | | 12 | "I glanced at the door" | | 13 | "The clink of bottles." | | 14 | "A low murmur of conversation." | | 15 | "Nothing to betray how much" | | 16 | "My own voice felt foreign." | | 17 | "She did not smile." | | 18 | "The word carried more weight" | | 19 | "I remembered nights when I’d" |
| | ratio | 0.901 | |
| 35.21% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 142 | | matches | | | ratio | 0.007 | |
| 79.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 3 | | matches | | 0 | "She sipped again, finger tracing the scar on my wrist by accident, as if she still knew its shape." | | 1 | "Silas emerged from behind the bookshelf that hid his back room." | | 2 | "He gave me a nod that did not reach his eyes." |
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| 71.43% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 28 | | uselessAdditionCount | 3 | | matches | | 0 | "she said, voice small" | | 1 | "she said, though her eyes didn’t meet mine" | | 2 | "she asked, voice low" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 2 | | fancyTags | | 0 | "She laughed (laugh)" | | 1 | "I whispered (whisper)" |
| | dialogueSentences | 55 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0.133 | | effectiveRatio | 0.073 | |