| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1361 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 81.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1361 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "pulsed" | | 1 | "pulse" | | 2 | "silence" | | 3 | "perfect" |
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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 | 159 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 159 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 160 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 16 | | totalWords | 1357 | | ratio | 0.012 | | matches | | 0 | "Don’t go after midnight. The grove rearranges." | | 1 | "MALPHORA" | | 2 | "Only give back what the ground asks for." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 1354 | | uniqueNames | 17 | | maxNameDensity | 0.44 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Aurora" | | discoveredNames | | Number | 1 | | Petersham | 1 | | Road | 1 | | London | 1 | | Eva | 1 | | Aurora | 6 | | Heartstone | 3 | | Park | 1 | | Isabella | 1 | | Plantation | 1 | | Pembroke | 1 | | Lodge | 1 | | Fae | 2 | | Grove | 1 | | Pen | 2 | | Ponds | 2 | | October | 1 |
| | persons | | 0 | "Eva" | | 1 | "Aurora" | | 2 | "Heartstone" | | 3 | "Ponds" |
| | places | | 0 | "Petersham" | | 1 | "Road" | | 2 | "London" | | 3 | "Park" | | 4 | "Isabella" | | 5 | "Plantation" | | 6 | "Pembroke" | | 7 | "Fae" | | 8 | "Grove" | | 9 | "October" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 102 | | glossingSentenceCount | 1 | | matches | | |
| 52.62% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.474 | | wordCount | 1357 | | matches | | 0 | "Not enough to see from the road, but enough for a body to slip through" | | 1 | "no longer under the soil but" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 160 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 31.56 | | std | 20.76 | | cv | 0.658 | | sampleLengths | | 0 | 69 | | 1 | 62 | | 2 | 28 | | 3 | 39 | | 4 | 44 | | 5 | 54 | | 6 | 47 | | 7 | 36 | | 8 | 70 | | 9 | 37 | | 10 | 28 | | 11 | 3 | | 12 | 70 | | 13 | 20 | | 14 | 22 | | 15 | 9 | | 16 | 48 | | 17 | 8 | | 18 | 62 | | 19 | 37 | | 20 | 39 | | 21 | 7 | | 22 | 6 | | 23 | 53 | | 24 | 9 | | 25 | 6 | | 26 | 45 | | 27 | 51 | | 28 | 48 | | 29 | 2 | | 30 | 14 | | 31 | 8 | | 32 | 61 | | 33 | 40 | | 34 | 8 | | 35 | 3 | | 36 | 17 | | 37 | 24 | | 38 | 14 | | 39 | 22 | | 40 | 38 | | 41 | 36 | | 42 | 13 |
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| 94.23% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 159 | | matches | | 0 | "were locked" | | 1 | "been oiled" | | 2 | "was hidden" | | 3 | "was gone" | | 4 | "been pushed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 208 | | matches | | |
| 71.43% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 160 | | ratio | 0.025 | | matches | | 0 | "She had memorized the way from the gate to the Fae Grove—two miles, two turns, past the Pen Ponds." | | 1 | "Inside, the grove lay open, but the air beyond the threshold looked wrong—too thick, like old window glass." | | 2 | "The gate, the pond, the signpost—all swallowed." | | 3 | "The stone in her hand now beat at the pace of a human heart—not hers." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1359 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.02869757174392936 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.004415011037527594 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 160 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 160 | | mean | 8.48 | | std | 5.09 | | cv | 0.6 | | sampleLengths | | 0 | 16 | | 1 | 16 | | 2 | 14 | | 3 | 11 | | 4 | 12 | | 5 | 5 | | 6 | 15 | | 7 | 11 | | 8 | 4 | | 9 | 4 | | 10 | 11 | | 11 | 12 | | 12 | 6 | | 13 | 7 | | 14 | 6 | | 15 | 9 | | 16 | 6 | | 17 | 12 | | 18 | 18 | | 19 | 3 | | 20 | 2 | | 21 | 17 | | 22 | 14 | | 23 | 7 | | 24 | 4 | | 25 | 5 | | 26 | 7 | | 27 | 9 | | 28 | 13 | | 29 | 4 | | 30 | 16 | | 31 | 8 | | 32 | 10 | | 33 | 7 | | 34 | 12 | | 35 | 4 | | 36 | 3 | | 37 | 3 | | 38 | 3 | | 39 | 10 | | 40 | 6 | | 41 | 12 | | 42 | 5 | | 43 | 6 | | 44 | 12 | | 45 | 8 | | 46 | 19 | | 47 | 25 | | 48 | 7 | | 49 | 1 |
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| 34.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 25 | | diversityRatio | 0.2375 | | totalSentences | 160 | | uniqueOpeners | 38 | |
| 90.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 148 | | matches | | 0 | "Then the laugh." | | 1 | "*Only give back what the" | | 2 | "Then a twig snapped behind" | | 3 | "Only the grove remained, and" |
| | ratio | 0.027 | |
| 74.05% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 54 | | totalSentences | 148 | | matches | | 0 | "It pulled away and left" | | 1 | "It held no dew." | | 2 | "She slipped through, and the" | | 3 | "She stepped onto the tarmac" | | 4 | "Her trainers made no sound," | | 5 | "It had texture." | | 6 | "She cupped the pendant through" | | 7 | "It tilted its head." | | 8 | "Its beak opened." | | 9 | "She kept walking." | | 10 | "Her T-shirt stuck to the" | | 11 | "She pulled the chain free," | | 12 | "It beat against her knuckles." | | 13 | "She had memorized the way" | | 14 | "They lined the path like" | | 15 | "It clung to the back" | | 16 | "It came from inside the" | | 17 | "It broke off as if" | | 18 | "Her shadow lay flat on" | | 19 | "It was longer than it" |
| | ratio | 0.365 | |
| 30.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 127 | | totalSentences | 148 | | matches | | 0 | "The Number 65 bus dropped" | | 1 | "It pulled away and left" | | 2 | "The last text from Eva" | | 3 | "The grove rearranges.* She locked" | | 4 | "The Heartstone pendant hung heavy" | | 5 | "The park gate stood ajar." | | 6 | "The padlock hung from the" | | 7 | "Aurora touched the iron." | | 8 | "It held no dew." | | 9 | "The air around it tasted" | | 10 | "She slipped through, and the" | | 11 | "That was the first wrong" | | 12 | "Richmond Park’s gates were locked" | | 13 | "The night rangers carried bolt" | | 14 | "None of them would leave" | | 15 | "She stepped onto the tarmac" | | 16 | "Her trainers made no sound," | | 17 | "The city glow behind her" | | 18 | "It had texture." | | 19 | "The Heartstone pulsed in time" |
| | ratio | 0.858 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 148 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 1 | | matches | | 0 | "The wildflower carpet thickened, spreading across the tarmac, filling the cracks between stones with green in a season that had killed everything else." |
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| 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 | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |