| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 4 | | adverbTags | | 0 | "she said softly [softly]" | | 1 | "Her voice cracked slightly [slightly]" | | 2 | "he said quietly [quietly]" | | 3 | "She hesitated then [then]" |
| | dialogueSentences | 35 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0.4 | | effectiveRatio | 0.229 | |
| 58.26% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1078 | | totalAiIsmAdverbs | 9 | | found | | | highlights | | 0 | "softly" | | 1 | "slowly" | | 2 | "slightly" |
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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) | |
| 25.79% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1078 | | totalAiIsms | 16 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | word | "the last thing" | | count | 1 |
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| | highlights | | 0 | "flickered" | | 1 | "familiar" | | 2 | "calculating" | | 3 | "weight" | | 4 | "silence" | | 5 | "flicker" | | 6 | "unspoken" | | 7 | "determined" | | 8 | "eyebrow" | | 9 | "tracing" | | 10 | "flicked" | | 11 | "the last thing" |
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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 | 0 | | narrationSentences | 59 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 59 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 83 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1066 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 778 | | uniqueNames | 7 | | maxNameDensity | 0.64 | | worstName | "Silas" | | maxWindowNameDensity | 1 | | worstWindowName | "Silas" | | discoveredNames | | Carter | 1 | | Raven | 1 | | Nest | 1 | | London | 2 | | Silas | 5 | | Blackwood | 1 | | Evan | 1 |
| | persons | | 0 | "Carter" | | 1 | "Silas" | | 2 | "Blackwood" | | 3 | "Evan" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 43.62% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed somewhat softer than she remembered, though the hazel eyes still held that quiet, calculating edge" | | 1 | "quite reach his eyes" |
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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 | 1066 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 83 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 24.79 | | std | 15.25 | | cv | 0.615 | | sampleLengths | | 0 | 69 | | 1 | 51 | | 2 | 56 | | 3 | 50 | | 4 | 1 | | 5 | 40 | | 6 | 14 | | 7 | 18 | | 8 | 14 | | 9 | 43 | | 10 | 35 | | 11 | 15 | | 12 | 29 | | 13 | 28 | | 14 | 46 | | 15 | 10 | | 16 | 16 | | 17 | 20 | | 18 | 12 | | 19 | 46 | | 20 | 30 | | 21 | 9 | | 22 | 21 | | 23 | 14 | | 24 | 18 | | 25 | 2 | | 26 | 27 | | 27 | 20 | | 28 | 26 | | 29 | 36 | | 30 | 6 | | 31 | 9 | | 32 | 15 | | 33 | 31 | | 34 | 20 | | 35 | 29 | | 36 | 13 | | 37 | 31 | | 38 | 15 | | 39 | 22 | | 40 | 14 | | 41 | 8 | | 42 | 37 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 59 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 144 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 83 | | ratio | 0.06 | | matches | | 0 | "Then she saw him—Silas Blackwood—already perched on a barstool, a glass half-emptied in front of him." | | 1 | "As she moved closer, her heart skipped briefly—years had carved their mark on her, transforming her from the girl she’d once been." | | 2 | "Rory looked up, meeting his gaze, and saw the flicker of memories—the young, bright-eyed girl she’d once been, and the man who’d seemed like the anchor of her drifting ship." | | 3 | "She knew what she’d become—someone determined to forge new paths, far from her past, from the violence of Evan, from the tangled web of regret and survival." | | 4 | "They both knew the game they played—one of masks, half-truths, and delicate hope." |
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| 69.95% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 788 | | adjectiveStacks | 1 | | stackExamples | | 0 | "young, bright-eyed girl" |
| | adverbCount | 52 | | adverbRatio | 0.06598984771573604 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.021573604060913704 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 83 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 83 | | mean | 12.84 | | std | 7.16 | | cv | 0.557 | | sampleLengths | | 0 | 23 | | 1 | 25 | | 2 | 21 | | 3 | 19 | | 4 | 15 | | 5 | 17 | | 6 | 19 | | 7 | 16 | | 8 | 21 | | 9 | 16 | | 10 | 22 | | 11 | 12 | | 12 | 1 | | 13 | 19 | | 14 | 5 | | 15 | 16 | | 16 | 11 | | 17 | 3 | | 18 | 15 | | 19 | 3 | | 20 | 12 | | 21 | 2 | | 22 | 18 | | 23 | 25 | | 24 | 20 | | 25 | 15 | | 26 | 10 | | 27 | 5 | | 28 | 13 | | 29 | 16 | | 30 | 8 | | 31 | 20 | | 32 | 30 | | 33 | 16 | | 34 | 10 | | 35 | 10 | | 36 | 6 | | 37 | 7 | | 38 | 13 | | 39 | 5 | | 40 | 7 | | 41 | 8 | | 42 | 11 | | 43 | 27 | | 44 | 2 | | 45 | 28 | | 46 | 9 | | 47 | 4 | | 48 | 17 | | 49 | 2 |
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| 82.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.4939759036144578 | | totalSentences | 83 | | uniqueOpeners | 41 | |
| 58.48% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 57 | | matches | | 0 | "Then she saw him—Silas Blackwood—already" |
| | ratio | 0.018 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 57 | | matches | | 0 | "She paused in the entryway," | | 1 | "Her eyes darted around, searching" | | 2 | "Her boots found a spot" | | 3 | "His face, lined but steady," | | 4 | "She hesitated for a beat" | | 5 | "She reached the bar and" | | 6 | "He turned slowly, eyes narrowing" | | 7 | "His lips curled into a" | | 8 | "he said, voice gravelly but" | | 9 | "She took a breath, unwrapping" | | 10 | "She hesitated, then pulled out" | | 11 | "He studied her for a" | | 12 | "Her shoulders bore stories he" | | 13 | "She glanced down at her" | | 14 | "He chuckled softly, a sound" | | 15 | "she said, voice softer than" | | 16 | "He shrugged, fingering the signet" | | 17 | "Her lips tugged into a" | | 18 | "His eyes softened, just slightly." | | 19 | "She sensed a distant, unspoken" |
| | ratio | 0.702 | |
| 3.86% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 57 | | matches | | 0 | "Aurora Carter stepped into The" | | 1 | "The warm glow of the" | | 2 | "She paused in the entryway," | | 3 | "Her eyes darted around, searching" | | 4 | "The bar was busy but" | | 5 | "Her boots found a spot" | | 6 | "His face, lined but steady," | | 7 | "She hesitated for a beat" | | 8 | "She reached the bar and" | | 9 | "He turned slowly, eyes narrowing" | | 10 | "Recognition flickered in his gaze." | | 11 | "His lips curled into a" | | 12 | "he said, voice gravelly but" | | 13 | "She took a breath, unwrapping" | | 14 | "Silas scooted to the side," | | 15 | "She hesitated, then pulled out" | | 16 | "The silence stretched for a" | | 17 | "He studied her for a" | | 18 | "Her shoulders bore stories he" | | 19 | "Silas finally broke the quiet," |
| | ratio | 0.912 | |
| 87.72% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 57 | | matches | | 0 | "Now, he looked different, haunted" |
| | ratio | 0.018 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 4 | | matches | | 0 | "She hesitated for a beat before approaching, her fingers tightening on the strap of her bag." | | 1 | "She took a breath, unwrapping her scarf, feeling the years weight heavy on her shoulders." | | 2 | "Rory looked up, meeting his gaze, and saw the flicker of memories—the young, bright-eyed girl she’d once been, and the man who’d seemed like the anchor of her d…" | | 3 | "She studied the lines carved into his face, the small limp in his walk, the weathered voice that carried stories he wasn’t sharing." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 4 | | matches | | 0 | "he said, voice gravelly but dry" | | 1 | "she said, voice softer than she intended" | | 2 | "she asked, voice tentative" | | 3 | "he shot back, dry" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 35 | | tagDensity | 0.171 | | leniency | 0.343 | | rawRatio | 0.167 | | effectiveRatio | 0.057 | |