| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.68% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1505 | | 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) | |
| 60.13% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1505 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "looming" | | 1 | "pulse" | | 2 | "trembled" | | 3 | "warmth" | | 4 | "silence" | | 5 | "weight" | | 6 | "echo" | | 7 | "flickered" | | 8 | "pulsed" | | 9 | "satin" | | 10 | "whisper" |
| |
| 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 | 197 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 197 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 205 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1505 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 95.91% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1479 | | uniqueNames | 8 | | maxNameDensity | 1.08 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | London | 2 | | Heartstone | 4 | | Richmond | 2 | | Park | 2 | | Golden | 1 | | Empress | 1 | | Rory | 16 | | Hel | 1 |
| | persons | | | places | | 0 | "London" | | 1 | "Richmond" | | 2 | "Park" |
| | globalScore | 0.959 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 110 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed trapped beneath her scarf" | | 1 | "looked like a pool until Rory saw the roo" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1505 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 205 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 122 | | mean | 12.34 | | std | 13.46 | | cv | 1.091 | | sampleLengths | | 0 | 10 | | 1 | 30 | | 2 | 3 | | 3 | 43 | | 4 | 8 | | 5 | 26 | | 6 | 5 | | 7 | 49 | | 8 | 27 | | 9 | 12 | | 10 | 6 | | 11 | 3 | | 12 | 3 | | 13 | 41 | | 14 | 16 | | 15 | 5 | | 16 | 48 | | 17 | 4 | | 18 | 2 | | 19 | 10 | | 20 | 2 | | 21 | 10 | | 22 | 45 | | 23 | 7 | | 24 | 15 | | 25 | 61 | | 26 | 6 | | 27 | 3 | | 28 | 2 | | 29 | 14 | | 30 | 7 | | 31 | 9 | | 32 | 2 | | 33 | 2 | | 34 | 45 | | 35 | 7 | | 36 | 5 | | 37 | 5 | | 38 | 38 | | 39 | 6 | | 40 | 1 | | 41 | 24 | | 42 | 1 | | 43 | 8 | | 44 | 7 | | 45 | 2 | | 46 | 45 | | 47 | 4 | | 48 | 1 | | 49 | 3 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 197 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 236 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 205 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 160 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 3 | | adverbRatio | 0.01875 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 205 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 205 | | mean | 7.34 | | std | 5.24 | | cv | 0.713 | | sampleLengths | | 0 | 10 | | 1 | 5 | | 2 | 5 | | 3 | 20 | | 4 | 2 | | 5 | 1 | | 6 | 24 | | 7 | 4 | | 8 | 5 | | 9 | 8 | | 10 | 2 | | 11 | 8 | | 12 | 3 | | 13 | 7 | | 14 | 2 | | 15 | 6 | | 16 | 8 | | 17 | 3 | | 18 | 2 | | 19 | 13 | | 20 | 16 | | 21 | 20 | | 22 | 27 | | 23 | 12 | | 24 | 6 | | 25 | 3 | | 26 | 2 | | 27 | 1 | | 28 | 12 | | 29 | 13 | | 30 | 16 | | 31 | 16 | | 32 | 5 | | 33 | 13 | | 34 | 14 | | 35 | 6 | | 36 | 15 | | 37 | 4 | | 38 | 2 | | 39 | 2 | | 40 | 3 | | 41 | 5 | | 42 | 2 | | 43 | 10 | | 44 | 8 | | 45 | 12 | | 46 | 13 | | 47 | 12 | | 48 | 7 | | 49 | 8 |
| |
| 49.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.32682926829268294 | | totalSentences | 205 | | uniqueOpeners | 67 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 172 | | matches | | 0 | "Instead, they leaned in the" | | 1 | "Then her torch passed over" | | 2 | "Even her breathing seemed trapped" | | 3 | "Then at the dark tree." | | 4 | "Then something stood on the" | | 5 | "Only a vertical absence darker" | | 6 | "Then another, farther right." | | 7 | "Then a woman’s voice spoke" |
| | ratio | 0.047 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 172 | | matches | | 0 | "Her shoulder struck wet oak." | | 1 | "She caught herself against the" | | 2 | "It stood taller than she" | | 3 | "Her torch caught rain, bracken," | | 4 | "It had started warming while" | | 5 | "She had followed it because" | | 6 | "She stepped between the standing" | | 7 | "Her breath came out white." | | 8 | "They should have died months" | | 9 | "Her phone screen blinked." | | 10 | "She tucked the phone into" | | 11 | "It pulled her forward with" | | 12 | "She had felt that pull" | | 13 | "He had told her not" | | 14 | "She had not mentioned the" | | 15 | "Her torch swung through the" | | 16 | "Its stem had not bent." | | 17 | "Her voice travelled farther than" | | 18 | "It went out between the" | | 19 | "It showed only a narrow" |
| | ratio | 0.267 | |
| 55.93% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 139 | | totalSentences | 172 | | matches | | 0 | "Aurora found the first standing" | | 1 | "Her shoulder struck wet oak." | | 2 | "Pain flashed down her arm." | | 3 | "She caught herself against the" | | 4 | "It stood taller than she" | | 5 | "Moss filled the wound." | | 6 | "Water threaded down its sides." | | 7 | "The park path had vanished" | | 8 | "Rory looked back." | | 9 | "Her torch caught rain, bracken," | | 10 | "The Heartstone lay against her" | | 11 | "It had started warming while" | | 12 | "She had followed it because" | | 13 | "The silver chain had left" | | 14 | "She stepped between the standing" | | 15 | "The rain stopped." | | 16 | "The last drops hung from" | | 17 | "A bead of water slid" | | 18 | "Rory stood with one trainer" | | 19 | "Her breath came out white." |
| | ratio | 0.808 | |
| 29.07% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 172 | | matches | | 0 | "By the time she reached" |
| | ratio | 0.006 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 1 | | matches | | 0 | "It stood taller than she did, broad at the base and split near the top as if an axe had bitten it centuries ago." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 9 | | tagDensity | 0.111 | | leniency | 0.222 | | rawRatio | 1 | | effectiveRatio | 0.222 | |