| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.78% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1553 | | 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) | |
| 42.05% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1553 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "perfect" | | 3 | "echo" | | 4 | "pulse" | | 5 | "weight" | | 6 | "tracing" | | 7 | "racing" | | 8 | "silence" | | 9 | "stomach" | | 10 | "flickered" | | 11 | "velvet" | | 12 | "silk" | | 13 | "vibrated" |
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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 | 174 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 5 | | narrationSentences | 174 | | filterMatches | (empty) | | hedgeMatches | | 0 | "started to" | | 1 | "tried to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 178 | | 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 | 0 | | markdownWords | 0 | | totalWords | 1551 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 1530 | | uniqueNames | 16 | | maxNameDensity | 1.37 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 21 | | Heartstone | 5 | | Richmond | 1 | | Park | 1 | | Hel | 1 | | Silas | 1 | | Grove | 1 | | Cardiff | 1 | | Evan | 2 | | Yu-Fei | 1 | | Golden | 1 | | Empress | 1 | | Eva | 1 | | London | 1 | | Carter | 1 | | Empty | 4 |
| | persons | | 0 | "Rory" | | 1 | "Heartstone" | | 2 | "Silas" | | 3 | "Evan" | | 4 | "Eva" | | 5 | "Carter" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Hel" | | 3 | "Grove" | | 4 | "Cardiff" | | 5 | "Yu-Fei" | | 6 | "London" |
| | globalScore | 0.814 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 101 | | glossingSentenceCount | 1 | | matches | | 0 | "as if petting a skittish animal" |
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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 | 1551 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 178 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 36.93 | | std | 26.74 | | cv | 0.724 | | sampleLengths | | 0 | 38 | | 1 | 52 | | 2 | 82 | | 3 | 9 | | 4 | 42 | | 5 | 1 | | 6 | 62 | | 7 | 86 | | 8 | 2 | | 9 | 58 | | 10 | 58 | | 11 | 2 | | 12 | 64 | | 13 | 5 | | 14 | 87 | | 15 | 59 | | 16 | 47 | | 17 | 23 | | 18 | 8 | | 19 | 69 | | 20 | 16 | | 21 | 43 | | 22 | 52 | | 23 | 58 | | 24 | 9 | | 25 | 36 | | 26 | 71 | | 27 | 7 | | 28 | 1 | | 29 | 1 | | 30 | 60 | | 31 | 57 | | 32 | 60 | | 33 | 45 | | 34 | 3 | | 35 | 6 | | 36 | 9 | | 37 | 27 | | 38 | 48 | | 39 | 55 | | 40 | 13 | | 41 | 20 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 174 | | matches | | 0 | "been scratched" | | 1 | "were—smelled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 259 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 178 | | ratio | 0.006 | | matches | | 0 | "The fingers—if fingers they were—smelled of damp earth and old graves." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1540 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.024025974025974027 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.004545454545454545 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 178 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 178 | | mean | 8.71 | | std | 6.12 | | cv | 0.702 | | sampleLengths | | 0 | 17 | | 1 | 5 | | 2 | 16 | | 3 | 13 | | 4 | 12 | | 5 | 13 | | 6 | 14 | | 7 | 11 | | 8 | 13 | | 9 | 23 | | 10 | 21 | | 11 | 14 | | 12 | 9 | | 13 | 10 | | 14 | 13 | | 15 | 4 | | 16 | 1 | | 17 | 14 | | 18 | 1 | | 19 | 9 | | 20 | 4 | | 21 | 17 | | 22 | 9 | | 23 | 23 | | 24 | 4 | | 25 | 19 | | 26 | 16 | | 27 | 15 | | 28 | 24 | | 29 | 8 | | 30 | 2 | | 31 | 13 | | 32 | 13 | | 33 | 12 | | 34 | 1 | | 35 | 1 | | 36 | 9 | | 37 | 3 | | 38 | 3 | | 39 | 3 | | 40 | 11 | | 41 | 2 | | 42 | 1 | | 43 | 6 | | 44 | 18 | | 45 | 9 | | 46 | 11 | | 47 | 2 | | 48 | 6 | | 49 | 16 |
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| 54.12% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.3651685393258427 | | totalSentences | 178 | | uniqueOpeners | 65 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 144 | | matches | | 0 | "Only the endless carpet of" | | 1 | "Only flowers bowing under invisible" | | 2 | "Then, from the far side" | | 3 | "Too many joints." | | 4 | "Too many limbs." | | 5 | "Then every wildflower turned its" |
| | ratio | 0.042 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 144 | | matches | | 0 | "She ignored it and pushed" | | 1 | "She had followed that warmth" | | 2 | "She took three steps into" | | 3 | "Her voice landed flat, swallowed" | | 4 | "She tried again louder." | | 5 | "She brushed it away and" | | 6 | "She had spent nights turning" | | 7 | "She welcomed it." | | 8 | "She had left Cardiff to" | | 9 | "She started toward the sound." | | 10 | "She refused to look down." | | 11 | "She refused to turn." | | 12 | "Her voice stayed level." | | 13 | "She gripped it tighter." | | 14 | "They flexed once, testing the" | | 15 | "She dragged air through her" | | 16 | "She lifted the Heartstone higher." | | 17 | "They already knew it." | | 18 | "They knew her." | | 19 | "She had never heard them" |
| | ratio | 0.167 | |
| 22.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 126 | | totalSentences | 144 | | matches | | 0 | "The undergrowth clawed at Rory's" | | 1 | "Bark scraped her knuckles raw." | | 2 | "She ignored it and pushed" | | 3 | "Wildflowers carpeted the clearing in" | | 4 | "Foxgloves and bluebells shouldered past" | | 5 | "The air hung sweet and" | | 6 | "Rory wiped her mouth on" | | 7 | "The Heartstone pulsed once against" | | 8 | "Crimson light leaked between her" | | 9 | "She had followed that warmth" | | 10 | "Someone had left the pendant" | | 11 | "Tonight it had drawn her" | | 12 | "She took three steps into" | | 13 | "The wildflowers bent away from" | | 14 | "A soft rustle moved through" | | 15 | "Rory turned in place." | | 16 | "Her voice landed flat, swallowed" | | 17 | "She tried again louder." | | 18 | "The flowers shivered in answer," | | 19 | "Something small and wet dripped" |
| | ratio | 0.875 | |
| 69.44% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 144 | | matches | | 0 | "Now the glow pointed deeper" | | 1 | "Now the memory felt distant," |
| | ratio | 0.014 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 72 | | technicalSentenceCount | 9 | | matches | | 0 | "She brushed it away and found no moisture on her palm, only a faint sticky tackiness that smelled of crushed greenery and copper." | | 1 | "The old woman who sold charms near the park entrance had whispered that when Rory asked directions at dusk." | | 2 | "Syllables folded wrong, vowels stretched into thin whines that set her teeth on edge." | | 3 | "They flexed once, testing the give of muscle and bone, then tightened in a cradle of pressure that stopped short of bruising." | | 4 | "A third settled on the crown of her head, combing gently through her straight black hair as if petting a skittish animal." | | 5 | "She had never heard them before tonight, yet they fit her bones as if carved there in the cradle." | | 6 | "Children's voices and women's and a low male chuckle that vibrated the air inside her skull." | | 7 | "Crimson light detonated outward in a silent shockwave that flattened the flowers for three metres in every direction." | | 8 | "A mouth that opened vertical instead of horizontal and kept opening, revealing rows of petal-soft teeth that glistened." |
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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 | 5 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |