| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.875 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.06% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 773 | | totalAiIsmAdverbs | 2 | | 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 | 773 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "stark" | | 3 | "chill" | | 4 | "dancing" | | 5 | "silence" | | 6 | "loomed" | | 7 | "perfect" | | 8 | "pulse" | | 9 | "whisper" | | 10 | "traced" | | 11 | "racing" | | 12 | "stomach" | | 13 | "scanning" | | 14 | "flickered" | | 15 | "charged" | | 16 | "echoed" | | 17 | "weight" |
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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 | 72 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 72 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 73 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 8 | | totalWords | 772 | | ratio | 0.01 | | matches | | 0 | "Found something. Richmond Park. Standing stones. Come alone." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 62.87% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 746 | | uniqueNames | 7 | | maxNameDensity | 1.74 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 13 | | Richmond | 2 | | Park | 2 | | Heartstone | 8 | | London | 2 | | Eva | 3 | | Stepping | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Heartstone" | | 2 | "Eva" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" |
| | globalScore | 0.629 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | 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 | 772 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 73 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 30.88 | | std | 17.8 | | cv | 0.577 | | sampleLengths | | 0 | 44 | | 1 | 54 | | 2 | 59 | | 3 | 48 | | 4 | 9 | | 5 | 42 | | 6 | 5 | | 7 | 25 | | 8 | 50 | | 9 | 7 | | 10 | 38 | | 11 | 53 | | 12 | 18 | | 13 | 40 | | 14 | 38 | | 15 | 36 | | 16 | 12 | | 17 | 48 | | 18 | 36 | | 19 | 2 | | 20 | 43 | | 21 | 21 | | 22 | 2 | | 23 | 32 | | 24 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 136 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 73 | | ratio | 0 | | matches | (empty) | |
| 98.69% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 747 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.041499330655957165 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.012048192771084338 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 73 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 73 | | mean | 10.58 | | std | 6.03 | | cv | 0.57 | | sampleLengths | | 0 | 8 | | 1 | 17 | | 2 | 19 | | 3 | 11 | | 4 | 16 | | 5 | 27 | | 6 | 11 | | 7 | 14 | | 8 | 13 | | 9 | 21 | | 10 | 7 | | 11 | 10 | | 12 | 12 | | 13 | 13 | | 14 | 2 | | 15 | 2 | | 16 | 2 | | 17 | 7 | | 18 | 2 | | 19 | 12 | | 20 | 17 | | 21 | 13 | | 22 | 5 | | 23 | 7 | | 24 | 18 | | 25 | 20 | | 26 | 10 | | 27 | 20 | | 28 | 4 | | 29 | 3 | | 30 | 13 | | 31 | 16 | | 32 | 9 | | 33 | 16 | | 34 | 10 | | 35 | 1 | | 36 | 9 | | 37 | 17 | | 38 | 16 | | 39 | 2 | | 40 | 9 | | 41 | 15 | | 42 | 7 | | 43 | 9 | | 44 | 11 | | 45 | 27 | | 46 | 8 | | 47 | 2 | | 48 | 11 | | 49 | 15 |
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| 74.43% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4794520547945205 | | totalSentences | 73 | | uniqueOpeners | 35 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 63 | | matches | | 0 | "More trees appeared where none" | | 1 | "Almost forming words she never" | | 2 | "Then the light exploded outward," |
| | ratio | 0.048 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 63 | | matches | | 0 | "Her messenger bag caught on" | | 1 | "she muttered, brushing dead leaves" | | 2 | "She'd followed its pull across" | | 3 | "Her whisper scattered into the" | | 4 | "Their massive trunks twisted upward," | | 5 | "She whirled, but only shadows" | | 6 | "They looked almost like letters," | | 7 | "It wasn't Eva's." | | 8 | "She sprinted between two trees," | | 9 | "Its light flickered, dimmed." | | 10 | "Her fingers brushed something cold" |
| | ratio | 0.175 | |
| 47.30% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 63 | | matches | | 0 | "The old iron gate groaned" | | 1 | "Her messenger bag caught on" | | 2 | "she muttered, brushing dead leaves" | | 3 | "The Heartstone pendant pulsed against" | | 4 | "She'd followed its pull across" | | 5 | "Gravel crunched beneath her trainers" | | 6 | "The pendant's warmth intensified with" | | 7 | "Branches creaked overhead, their shadows" | | 8 | "The usual distant hum of" | | 9 | "The path curved sharply, and" | | 10 | "The Heartstone blazed against her" | | 11 | "This had to be the" | | 12 | "Her whisper scattered into the" | | 13 | "Aurora approached the circle, counting" | | 14 | "Their massive trunks twisted upward," | | 15 | "The air felt different here," | | 16 | "A twig snapped behind her." | | 17 | "She whirled, but only shadows" | | 18 | "The Heartstone's warmth had become" | | 19 | "Aurora's voice trailed off as" |
| | ratio | 0.825 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 58.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 4 | | matches | | 0 | "Her messenger bag caught on the bars with a sharp tug that sent her stumbling into Richmond Park's darkness." | | 1 | "The Heartstone blazed against her skin, its pulse matching her quickening heartbeat." | | 2 | "The symbols crawled across the bark like insects, rearranging themselves into new patterns that hurt her eyes." | | 3 | "The Heartstone's light caught it for just a moment, revealing a mass of darkness that moved like spilled ink, flowing against gravity before vanishing behind an…" |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 1 | | matches | | 0 | "Aurora said, her voice steady despite the fear coiling in her stomach" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "said a voice that wasn't Eva's (say be)" |
| | dialogueSentences | 8 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.667 | | effectiveRatio | 0.5 | |