| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 11 | | tagDensity | 0.091 | | leniency | 0.182 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 79.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1747 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "quickly" | | 1 | "very" | | 2 | "softly" | | 3 | "tightly" | | 4 | "slowly" | | 5 | "perfectly" |
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| 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) | |
| 62.79% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1747 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "weight" | | 1 | "trembled" | | 2 | "silence" | | 3 | "sense of" | | 4 | "absolutely" | | 5 | "flickered" | | 6 | "pulse" | | 7 | "echo" | | 8 | "whisper" | | 9 | "pulsed" |
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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 | 1 | | narrationSentences | 222 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 222 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 231 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1744 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 65 | | wordCount | 1709 | | uniqueNames | 13 | | maxNameDensity | 1.87 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Eva" | | discoveredNames | | Carter | 1 | | Richmond | 3 | | Park | 3 | | Eva | 13 | | Aurora | 32 | | Fae | 1 | | Grove | 3 | | Heartstone | 2 | | Victoria | 1 | | Station | 1 | | London | 1 | | Evan | 2 | | Silas | 2 |
| | persons | | 0 | "Carter" | | 1 | "Eva" | | 2 | "Aurora" | | 3 | "Heartstone" | | 4 | "Station" | | 5 | "Evan" | | 6 | "Silas" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Grove" | | 4 | "Victoria" | | 5 | "London" |
| | globalScore | 0.564 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 128 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1744 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 231 | | matches | | 0 | "was that she" | | 1 | "known that name" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 149 | | mean | 11.7 | | std | 13.31 | | cv | 1.137 | | sampleLengths | | 0 | 12 | | 1 | 53 | | 2 | 5 | | 3 | 42 | | 4 | 9 | | 5 | 5 | | 6 | 49 | | 7 | 6 | | 8 | 2 | | 9 | 54 | | 10 | 47 | | 11 | 5 | | 12 | 15 | | 13 | 6 | | 14 | 4 | | 15 | 7 | | 16 | 54 | | 17 | 8 | | 18 | 21 | | 19 | 5 | | 20 | 2 | | 21 | 3 | | 22 | 4 | | 23 | 15 | | 24 | 5 | | 25 | 10 | | 26 | 58 | | 27 | 4 | | 28 | 11 | | 29 | 6 | | 30 | 56 | | 31 | 4 | | 32 | 2 | | 33 | 5 | | 34 | 20 | | 35 | 45 | | 36 | 12 | | 37 | 3 | | 38 | 8 | | 39 | 29 | | 40 | 6 | | 41 | 1 | | 42 | 10 | | 43 | 7 | | 44 | 1 | | 45 | 3 | | 46 | 7 | | 47 | 26 | | 48 | 8 | | 49 | 30 |
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| 97.36% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 222 | | matches | | 0 | "was frightened" | | 1 | "been carved" | | 2 | "was gone" | | 3 | "was worried" | | 4 | "were blurred" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 287 | | matches | | 0 | "were meeting" | | 1 | "was pretending" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 231 | | ratio | 0.013 | | matches | | 0 | "The directions Eva had given her had been absurdly vague—follow the western path until you see the oak split by lightning, then walk toward the stones—but Aurora had spent twenty-five years making sense of bad instructions." | | 1 | "Wildflowers bloomed in the spaces between the stones—bluebells, foxgloves, tiny white blossoms Aurora did not recognize." | | 2 | "Three—" |
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| 85.82% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1718 | | adjectiveStacks | 2 | | stackExamples | | 0 | "dull red light spread" | | 1 | "wider, revealing black centers" |
| | adverbCount | 73 | | adverbRatio | 0.042491268917345754 | | lyAdverbCount | 21 | | lyAdverbRatio | 0.012223515715948778 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 231 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 231 | | mean | 7.55 | | std | 5.35 | | cv | 0.709 | | sampleLengths | | 0 | 12 | | 1 | 22 | | 2 | 9 | | 3 | 5 | | 4 | 17 | | 5 | 5 | | 6 | 15 | | 7 | 12 | | 8 | 15 | | 9 | 9 | | 10 | 5 | | 11 | 3 | | 12 | 5 | | 13 | 23 | | 14 | 18 | | 15 | 6 | | 16 | 2 | | 17 | 4 | | 18 | 2 | | 19 | 36 | | 20 | 6 | | 21 | 6 | | 22 | 19 | | 23 | 10 | | 24 | 4 | | 25 | 14 | | 26 | 5 | | 27 | 15 | | 28 | 6 | | 29 | 4 | | 30 | 7 | | 31 | 17 | | 32 | 13 | | 33 | 2 | | 34 | 2 | | 35 | 20 | | 36 | 8 | | 37 | 21 | | 38 | 5 | | 39 | 2 | | 40 | 3 | | 41 | 4 | | 42 | 2 | | 43 | 13 | | 44 | 5 | | 45 | 5 | | 46 | 5 | | 47 | 14 | | 48 | 6 | | 49 | 28 |
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| 44.81% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.2857142857142857 | | totalSentences | 231 | | uniqueOpeners | 66 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 12 | | totalSentences | 202 | | matches | | 0 | "Instead, there was only the" | | 1 | "Then she had vanished." | | 2 | "Only the pendant, warm against" | | 3 | "Instead, Eva had called her" | | 4 | "Then, very softly:" | | 5 | "Somewhere among the trees, a" | | 6 | "Then it slipped behind the" | | 7 | "Just enough to turn the" | | 8 | "Then her reflection smiled." | | 9 | "Then it whispered her name." | | 10 | "Instead, she lifted the pendant" | | 11 | "Then, from the black water" |
| | ratio | 0.059 | |
| 99.21% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 61 | | totalSentences | 202 | | matches | | 0 | "It seemed to possess weight." | | 1 | "It pressed between the trunks" | | 2 | "She walked beyond them anyway." | | 3 | "Her phone flashlight trembled across" | | 4 | "She was not lost." | | 5 | "She had found the lightning-split" | | 6 | "She had found the standing" | | 7 | "They rose ahead of her," | | 8 | "Their surfaces were slick with" | | 9 | "It had arrived in an" | | 10 | "She had meant to show" | | 11 | "She had spent the afternoon" | | 12 | "She slipped the pendant beneath" | | 13 | "It was not colder." | | 14 | "They should not have been" | | 15 | "Their heads turned toward her" | | 16 | "Her first thought was that" | | 17 | "Her second was that imagination" | | 18 | "She raised her phone." | | 19 | "It looked untouched by time." |
| | ratio | 0.302 | |
| 88.71% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 150 | | totalSentences | 202 | | matches | | 0 | "Aurora Carter knew Richmond Park" | | 1 | "It seemed to possess weight." | | 2 | "It pressed between the trunks" | | 3 | "She walked beyond them anyway." | | 4 | "Her phone flashlight trembled across" | | 5 | "The battery had been at" | | 6 | "That was the first thing" | | 7 | "The second was the silence." | | 8 | "Richmond Park was never silent." | | 9 | "There should have been foxes" | | 10 | "Aurora turned in a slow" | | 11 | "She was not lost." | | 12 | "The directions Eva had given" | | 13 | "She had found the lightning-split" | | 14 | "She had found the standing" | | 15 | "They rose ahead of her," | | 16 | "Their surfaces were slick with" | | 17 | "Lichen silvered their edges." | | 18 | "The Fae Grove lay beyond." | | 19 | "Eva had called it a" |
| | ratio | 0.743 | |
| 49.50% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 202 | | matches | | 0 | "Now it read forty-one, though" | | 1 | "Because something in the Grove" |
| | ratio | 0.01 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 2 | | matches | | 0 | "But she had also been Aurora’s oldest friend, the person who had dragged her to London after Evan’s final apology became a locked door and a broken lamp." | | 1 | "For one dizzy second she thought it was a birch trunk, but the shape leaned, impossibly, as though listening." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "Aurora looked into (look into)" |
| | dialogueSentences | 11 | | tagDensity | 0.091 | | leniency | 0.182 | | rawRatio | 1 | | effectiveRatio | 0.182 | |