| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 741 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 741 | | totalAiIsms | 16 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "down her spine" | | count | 1 |
| | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | |
| | highlights | | 0 | "loomed" | | 1 | "sentinels" | | 2 | "chill" | | 3 | "whisper" | | 4 | "silk" | | 5 | "down her spine" | | 6 | "scanning" | | 7 | "pounding" | | 8 | "echoed" | | 9 | "pulsed" | | 10 | "could feel" | | 11 | "looming" | | 12 | "chilled" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "shiver down spine" | | count | 1 |
|
| | highlights | | 0 | "A shiver ran down her spine" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 85 | | matches | (empty) | |
| 58.82% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 5 | | narrationSentences | 85 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 85 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 21 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 741 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 1 | | matches | | 0 | "It was just the wind, she told herself." |
| |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 740 | | uniqueNames | 7 | | maxNameDensity | 0.41 | | worstName | "Heartstone" | | maxWindowNameDensity | 1 | | worstWindowName | "Heartstone" | | discoveredNames | | Carter | 1 | | Fae | 2 | | Grove | 2 | | Heartstone | 3 | | Pendant | 3 | | Eva | 1 | | Aurora | 3 |
| | persons | | 0 | "Carter" | | 1 | "Pendant" | | 2 | "Eva" | | 3 | "Aurora" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 32.81% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 3 | | matches | | 0 | "seemed closer together, their ancient faces leering rather than welcoming" | | 1 | "voices that seemed to follow her" | | 2 | "seemed smaller now, the trees less menacing" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 741 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 85 | | matches | | |
| 5.62% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 14 | | mean | 52.93 | | std | 8.98 | | cv | 0.17 | | sampleLengths | | 0 | 78 | | 1 | 56 | | 2 | 59 | | 3 | 50 | | 4 | 55 | | 5 | 57 | | 6 | 37 | | 7 | 55 | | 8 | 47 | | 9 | 50 | | 10 | 43 | | 11 | 53 | | 12 | 53 | | 13 | 48 |
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| 92.88% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 85 | | matches | | 0 | "was gone" | | 1 | "was gone" | | 2 | "was gone" |
| |
| 63.95% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 147 | | matches | | 0 | "was being" | | 1 | "was letting" | | 2 | "were mocking" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 85 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 740 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.03648648648648649 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.008108108108108109 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 85 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 85 | | mean | 8.72 | | std | 4.24 | | cv | 0.486 | | sampleLengths | | 0 | 21 | | 1 | 14 | | 2 | 10 | | 3 | 18 | | 4 | 15 | | 5 | 5 | | 6 | 9 | | 7 | 11 | | 8 | 3 | | 9 | 13 | | 10 | 5 | | 11 | 6 | | 12 | 4 | | 13 | 7 | | 14 | 10 | | 15 | 16 | | 16 | 1 | | 17 | 13 | | 18 | 5 | | 19 | 7 | | 20 | 5 | | 21 | 5 | | 22 | 8 | | 23 | 2 | | 24 | 10 | | 25 | 8 | | 26 | 5 | | 27 | 7 | | 28 | 7 | | 29 | 14 | | 30 | 11 | | 31 | 12 | | 32 | 11 | | 33 | 5 | | 34 | 6 | | 35 | 7 | | 36 | 8 | | 37 | 5 | | 38 | 7 | | 39 | 7 | | 40 | 4 | | 41 | 8 | | 42 | 7 | | 43 | 3 | | 44 | 1 | | 45 | 11 | | 46 | 12 | | 47 | 3 | | 48 | 2 | | 49 | 9 |
| |
| 38.24% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.2 | | totalSentences | 85 | | uniqueOpeners | 17 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 80 | | matches | | 0 | "Just the soft crunch of" | | 1 | "Just a shadow flitting between" | | 2 | "Then she saw it again." | | 3 | "Then, as suddenly as it" | | 4 | "Then it raised its hand," |
| | ratio | 0.063 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 44 | | totalSentences | 80 | | matches | | 0 | "She'd been here before, but" | | 1 | "She pulled her coat collar" | | 2 | "She paused, listening." | | 3 | "She turned, but saw nothing." | | 4 | "She was being watched." | | 5 | "She could've sworn she'd taken" | | 6 | "She shook off the thought." | | 7 | "She was letting her imagination" | | 8 | "She spun around, heart pounding." | | 9 | "Her voice echoed, swallowed by" | | 10 | "She took a deep breath," | | 11 | "It was just the wind," | | 12 | "She pressed on, her steps" | | 13 | "She couldn't make out the" | | 14 | "They were mocking her, their" | | 15 | "She rubbed her arms, trying" | | 16 | "She turned, but it was" | | 17 | "She blinked, her eyes playing" | | 18 | "She squinted, trying to make" | | 19 | "It was small, childlike." |
| | ratio | 0.55 | |
| 35.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 80 | | matches | | 0 | "Aurora Carter, her breath misting" | | 1 | "She'd been here before, but" | | 2 | "The wildflowers, usually vibrant, seemed" | | 3 | "She pulled her coat collar" | | 4 | "The grove was unnaturally quiet." | | 5 | "She paused, listening." | | 6 | "A faint whisper reached her" | | 7 | "She turned, but saw nothing." | | 8 | "A shiver ran down her" | | 9 | "She was being watched." | | 10 | "Aurora continued, her eyes scanning" | | 11 | "The grove was larger than" | | 12 | "She could've sworn she'd taken" | | 13 | "The standing stones seemed closer" | | 14 | "She shook off the thought." | | 15 | "She was letting her imagination" | | 16 | "A twig snapped behind her." | | 17 | "She spun around, heart pounding." | | 18 | "Her voice echoed, swallowed by" | | 19 | "She took a deep breath," |
| | ratio | 0.85 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |