| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 45 | | tagDensity | 0.156 | | leniency | 0.311 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1679 | | 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) | |
| 61.29% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1679 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "pulsed" | | 1 | "trembled" | | 2 | "echo" | | 3 | "throbbed" | | 4 | "warmth" | | 5 | "pulse" | | 6 | "flickered" | | 7 | "grave" | | 8 | "stomach" | | 9 | "footfall" | | 10 | "whisper" |
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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 | 226 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 226 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "began to" | | 2 | "started to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 264 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1679 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 1 | | matches | | 0 | "From somewhere among the trees, Eva laughed." |
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| 32.58% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 60 | | wordCount | 1533 | | uniqueNames | 11 | | maxNameDensity | 2.35 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 1 | | Richmond | 1 | | Park | 1 | | Heartstone | 1 | | Hel | 1 | | Eva | 11 | | Cardiff | 1 | | University | 1 | | Isolde | 2 | | Rory | 36 | | Laila | 4 |
| | persons | | 0 | "Carter" | | 1 | "Eva" | | 2 | "Rory" | | 3 | "Laila" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Cardiff" |
| | globalScore | 0.326 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 115 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed bruised white with tiny red centres, yellow petals that trembled without wind" | | 1 | "appeared beside drawings of doors, red stones, and people with their mouths sewn shut" |
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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 | 1679 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 264 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 187 | | mean | 8.98 | | std | 9.58 | | cv | 1.067 | | sampleLengths | | 0 | 16 | | 1 | 30 | | 2 | 4 | | 3 | 29 | | 4 | 4 | | 5 | 42 | | 6 | 5 | | 7 | 37 | | 8 | 5 | | 9 | 6 | | 10 | 3 | | 11 | 11 | | 12 | 43 | | 13 | 6 | | 14 | 4 | | 15 | 5 | | 16 | 21 | | 17 | 11 | | 18 | 5 | | 19 | 34 | | 20 | 10 | | 21 | 31 | | 22 | 1 | | 23 | 28 | | 24 | 6 | | 25 | 4 | | 26 | 16 | | 27 | 2 | | 28 | 5 | | 29 | 22 | | 30 | 6 | | 31 | 1 | | 32 | 4 | | 33 | 11 | | 34 | 7 | | 35 | 38 | | 36 | 4 | | 37 | 4 | | 38 | 2 | | 39 | 19 | | 40 | 12 | | 41 | 4 | | 42 | 6 | | 43 | 25 | | 44 | 5 | | 45 | 6 | | 46 | 12 | | 47 | 1 | | 48 | 3 | | 49 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 226 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 274 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 264 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1535 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 48 | | adverbRatio | 0.031270358306188926 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.007817589576547232 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 264 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 264 | | mean | 6.36 | | std | 4.53 | | cv | 0.712 | | sampleLengths | | 0 | 16 | | 1 | 10 | | 2 | 20 | | 3 | 4 | | 4 | 10 | | 5 | 2 | | 6 | 17 | | 7 | 4 | | 8 | 11 | | 9 | 11 | | 10 | 6 | | 11 | 5 | | 12 | 9 | | 13 | 5 | | 14 | 8 | | 15 | 13 | | 16 | 8 | | 17 | 8 | | 18 | 5 | | 19 | 6 | | 20 | 3 | | 21 | 11 | | 22 | 4 | | 23 | 4 | | 24 | 11 | | 25 | 24 | | 26 | 6 | | 27 | 4 | | 28 | 3 | | 29 | 2 | | 30 | 8 | | 31 | 4 | | 32 | 9 | | 33 | 4 | | 34 | 2 | | 35 | 5 | | 36 | 5 | | 37 | 7 | | 38 | 27 | | 39 | 3 | | 40 | 3 | | 41 | 4 | | 42 | 9 | | 43 | 22 | | 44 | 1 | | 45 | 7 | | 46 | 21 | | 47 | 6 | | 48 | 4 | | 49 | 11 |
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| 42.42% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.26515151515151514 | | totalSentences | 264 | | uniqueOpeners | 70 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 195 | | matches | | 0 | "Somewhere inside the clearing, a" | | 1 | "Only the standing stones remained," | | 2 | "Somewhere outside the grove, the" | | 3 | "Only her head." | | 4 | "Then a second." | | 5 | "Then a third." |
| | ratio | 0.031 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 195 | | matches | | 0 | "She held her breath." | | 1 | "She had followed the directions" | | 2 | "She touched the Heartstone pendant" | | 3 | "It had not mentioned the" | | 4 | "She turned at once." | | 5 | "Her torch beam slid over" | | 6 | "Her voice travelled a short" | | 7 | "It did not echo." | | 8 | "She checked her phone." | | 9 | "She had come alone because" | | 10 | "She had found references in" | | 11 | "She had no idea who" | | 12 | "She knew only that the" | | 13 | "They bent in a narrow" | | 14 | "She regretted the name before" | | 15 | "It sounded exactly right." | | 16 | "It carried across the clearing" | | 17 | "She caught only fragments." | | 18 | "She pulled the spare batteries" | | 19 | "Their metal casings had blackened" |
| | ratio | 0.179 | |
| 44.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 162 | | totalSentences | 195 | | matches | | 0 | "Aurora Carter caught the door" | | 1 | "The fingers stretched too long" | | 2 | "She held her breath." | | 3 | "Rory withdrew her hand." | | 4 | "The ancient oak stones stood" | | 5 | "She had followed the directions" | | 6 | "A hollow with no birdsong." | | 7 | "A gate that existed only" | | 8 | "The gate had led here." | | 9 | "She touched the Heartstone pendant" | | 10 | "The deep crimson gem pulsed" | | 11 | "The pendant had never reacted" | | 12 | "The note had promised answers." | | 13 | "It had not mentioned the" | | 14 | "Rory stepped through." | | 15 | "The clearing swallowed the sound" | | 16 | "She turned at once." | | 17 | "The door had vanished." | | 18 | "Wildflowers crowded their bases in" | | 19 | "Her torch beam slid over" |
| | ratio | 0.831 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 195 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 3 | | matches | | 0 | "Wildflowers crowded their bases in impossible colours, blue so deep it seemed bruised, white with tiny red centres, yellow petals that trembled without wind." | | 1 | "They bent in a narrow line, one after another, as if something invisible passed through them." | | 2 | "Their metal casings had blackened in places, as though someone had held them over a flame." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 45 | | tagDensity | 0.156 | | leniency | 0.311 | | rawRatio | 0.143 | | effectiveRatio | 0.044 | |