| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1662 | | totalAiIsmAdverbs | 4 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | | | 2 | | | 3 | |
| | highlights | | 0 | "deliberately" | | 1 | "quickly" | | 2 | "very" | | 3 | "carefully" |
| |
| 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) | |
| 66.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1662 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "warmth" | | 1 | "pulse" | | 2 | "familiar" | | 3 | "footsteps" | | 4 | "weight" | | 5 | "echo" | | 6 | "pulsed" | | 7 | "silence" |
| |
| 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 | 178 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 178 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "appeared to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 180 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1661 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 92.63% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 1656 | | uniqueNames | 8 | | maxNameDensity | 1.15 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Golden | 1 | | Empress | 1 | | Yu-Fei | 1 | | Eva | 1 | | Rory | 19 | | Heartstone | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Golden" |
| | globalScore | 0.926 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 118 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like the remains of an old fence" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1661 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 180 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 26.79 | | std | 18.61 | | cv | 0.694 | | sampleLengths | | 0 | 9 | | 1 | 35 | | 2 | 62 | | 3 | 55 | | 4 | 5 | | 5 | 36 | | 6 | 45 | | 7 | 57 | | 8 | 8 | | 9 | 42 | | 10 | 3 | | 11 | 17 | | 12 | 53 | | 13 | 22 | | 14 | 14 | | 15 | 24 | | 16 | 64 | | 17 | 13 | | 18 | 49 | | 19 | 4 | | 20 | 21 | | 21 | 1 | | 22 | 23 | | 23 | 27 | | 24 | 27 | | 25 | 5 | | 26 | 53 | | 27 | 25 | | 28 | 52 | | 29 | 18 | | 30 | 10 | | 31 | 9 | | 32 | 9 | | 33 | 35 | | 34 | 39 | | 35 | 6 | | 36 | 14 | | 37 | 35 | | 38 | 32 | | 39 | 39 | | 40 | 56 | | 41 | 11 | | 42 | 45 | | 43 | 7 | | 44 | 44 | | 45 | 6 | | 46 | 14 | | 47 | 9 | | 48 | 21 | | 49 | 9 |
| |
| 91.46% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 7 | | totalSentences | 178 | | matches | | 0 | "been emptied" | | 1 | "been left" | | 2 | "been given" | | 3 | "was meant" | | 4 | "been eleven" | | 5 | "been pulled" | | 6 | "been meant" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 270 | | matches | | 0 | "was hiding" | | 1 | "was watching" | | 2 | "was pretending" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 180 | | ratio | 0.011 | | matches | | 0 | "The circle of oak stood behind her; ahead, the clearing narrowed between two dark hollies." | | 1 | "There—its broken end jutted from the flowers near two birches." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1660 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 57 | | adverbRatio | 0.03433734939759036 | | lyAdverbCount | 19 | | lyAdverbRatio | 0.01144578313253012 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 180 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 180 | | mean | 9.23 | | std | 5.54 | | cv | 0.6 | | sampleLengths | | 0 | 6 | | 1 | 2 | | 2 | 1 | | 3 | 16 | | 4 | 19 | | 5 | 14 | | 6 | 20 | | 7 | 10 | | 8 | 18 | | 9 | 9 | | 10 | 23 | | 11 | 13 | | 12 | 10 | | 13 | 5 | | 14 | 9 | | 15 | 4 | | 16 | 5 | | 17 | 9 | | 18 | 9 | | 19 | 3 | | 20 | 12 | | 21 | 3 | | 22 | 27 | | 23 | 20 | | 24 | 12 | | 25 | 11 | | 26 | 14 | | 27 | 8 | | 28 | 5 | | 29 | 14 | | 30 | 14 | | 31 | 9 | | 32 | 3 | | 33 | 5 | | 34 | 12 | | 35 | 11 | | 36 | 8 | | 37 | 4 | | 38 | 15 | | 39 | 15 | | 40 | 4 | | 41 | 10 | | 42 | 8 | | 43 | 14 | | 44 | 4 | | 45 | 16 | | 46 | 2 | | 47 | 2 | | 48 | 2 | | 49 | 11 |
| |
| 44.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.2833333333333333 | | totalSentences | 180 | | uniqueOpeners | 51 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 165 | | matches | | 0 | "Even the loose hem of" | | 1 | "Then she heard footsteps." | | 2 | "At least now, if someone" | | 3 | "Instead it curved through birches" | | 4 | "Somewhere outside this pocket of" | | 5 | "Very carefully, she opened her" |
| | ratio | 0.036 | |
| 69.70% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 62 | | totalSentences | 165 | | matches | | 0 | "Her torch caught wet grass," | | 1 | "She walked with her phone" | | 2 | "She found the oak stones" | | 3 | "They stood in a rough" | | 4 | "She looked back." | | 5 | "She could leave." | | 6 | "It had been left for" | | 7 | "She wanted to know why" | | 8 | "She wanted, more urgently, to" | | 9 | "She pulled the chain over" | | 10 | "Her voice sounded too loud." | | 11 | "She slipped the chain around" | | 12 | "She took a photograph." | | 13 | "Her torch beam swept the" | | 14 | "It had the same thin" | | 15 | "She had heard that bell" | | 16 | "She followed the sound across" | | 17 | "She swung the beam round." | | 18 | "She kept the light on" | | 19 | "They came from ahead of" |
| | ratio | 0.376 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 132 | | totalSentences | 165 | | matches | | 0 | "The note had said Richmond" | | 1 | "Rory had spent three days" | | 2 | "Her torch caught wet grass," | | 3 | "Everything beyond its beam looked" | | 4 | "She walked with her phone" | | 5 | "She found the oak stones" | | 6 | "They stood in a rough" | | 7 | "Rory stopped short of them." | | 8 | "The park had been quiet" | | 9 | "Here, it was quieter." | | 10 | "She looked back." | | 11 | "The path remained visible between" | | 12 | "She could leave." | | 13 | "It had been left for" | | 14 | "She wanted to know why" | | 15 | "She wanted, more urgently, to" | | 16 | "Rory stepped between two of" | | 17 | "Warmth stirred against her breastbone." | | 18 | "She pulled the chain over" | | 19 | "The warmth came and went" |
| | ratio | 0.8 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 165 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 76 | | technicalSentenceCount | 1 | | matches | | 0 | "Another ring followed, duller, as though someone had put a hand over it." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |