| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 1 | | adverbTags | | 0 | "Isolde’s gaze rested briefly [briefly]" |
| | dialogueSentences | 52 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0.042 | | effectiveRatio | 0.038 | |
| 92.21% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1925 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "softly" | | 1 | "perfectly" | | 2 | "cautiously" |
| |
| 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) | |
| 76.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1925 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "warmth" | | 1 | "could feel" | | 2 | "flickered" | | 3 | "footsteps" | | 4 | "comforting" | | 5 | "pulse" | | 6 | "eyebrow" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 190 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 190 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 218 | | 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 | 1925 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 1 | | matches | | 0 | "Behind her, Eva gasped." |
| |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 95 | | wordCount | 1654 | | uniqueNames | 8 | | maxNameDensity | 2.66 | | worstName | "Rory" | | maxWindowNameDensity | 5 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 24 | | Rory | 44 | | Heartstone | 4 | | Park | 1 | | Nyx | 9 | | Veil | 1 | | Richmond | 2 | | Isolde | 10 |
| | persons | | 0 | "Eva" | | 1 | "Rory" | | 2 | "Heartstone" | | 3 | "Nyx" | | 4 | "Isolde" |
| | places | | 0 | "Park" | | 1 | "Veil" | | 2 | "Richmond" |
| | globalScore | 0.17 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 119 | | glossingSentenceCount | 1 | | matches | | 0 | "something like insects: a fine chiming that" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1925 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 218 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 89 | | mean | 21.63 | | std | 17.71 | | cv | 0.819 | | sampleLengths | | 0 | 27 | | 1 | 9 | | 2 | 51 | | 3 | 22 | | 4 | 3 | | 5 | 46 | | 6 | 6 | | 7 | 16 | | 8 | 34 | | 9 | 4 | | 10 | 52 | | 11 | 21 | | 12 | 13 | | 13 | 27 | | 14 | 32 | | 15 | 34 | | 16 | 25 | | 17 | 8 | | 18 | 7 | | 19 | 66 | | 20 | 38 | | 21 | 9 | | 22 | 6 | | 23 | 33 | | 24 | 6 | | 25 | 4 | | 26 | 17 | | 27 | 72 | | 28 | 11 | | 29 | 27 | | 30 | 49 | | 31 | 12 | | 32 | 12 | | 33 | 10 | | 34 | 5 | | 35 | 4 | | 36 | 68 | | 37 | 17 | | 38 | 5 | | 39 | 15 | | 40 | 5 | | 41 | 3 | | 42 | 5 | | 43 | 15 | | 44 | 66 | | 45 | 16 | | 46 | 4 | | 47 | 30 | | 48 | 7 | | 49 | 26 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 190 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 287 | | matches | | 0 | "were watching" | | 1 | "was walking" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 218 | | ratio | 0.009 | | matches | | 0 | "Rory had looked at a map before they set out; there was no room in this part of the park for a meadow this wide, let alone the wooded slope rising ahead." | | 1 | "Eva heard them too; her hand closed around Rory’s sleeve." |
| |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1656 | | adjectiveStacks | 2 | | stackExamples | | 0 | "clear over black stones," | | 1 | "clear, bell-shaped husk." |
| | adverbCount | 62 | | adverbRatio | 0.03743961352657005 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.006642512077294686 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 218 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 218 | | mean | 8.83 | | std | 5.07 | | cv | 0.575 | | sampleLengths | | 0 | 17 | | 1 | 10 | | 2 | 5 | | 3 | 4 | | 4 | 2 | | 5 | 14 | | 6 | 12 | | 7 | 14 | | 8 | 9 | | 9 | 15 | | 10 | 7 | | 11 | 3 | | 12 | 16 | | 13 | 12 | | 14 | 8 | | 15 | 10 | | 16 | 6 | | 17 | 16 | | 18 | 16 | | 19 | 14 | | 20 | 4 | | 21 | 4 | | 22 | 7 | | 23 | 15 | | 24 | 8 | | 25 | 8 | | 26 | 14 | | 27 | 3 | | 28 | 18 | | 29 | 13 | | 30 | 10 | | 31 | 6 | | 32 | 11 | | 33 | 4 | | 34 | 14 | | 35 | 14 | | 36 | 3 | | 37 | 21 | | 38 | 10 | | 39 | 4 | | 40 | 4 | | 41 | 4 | | 42 | 13 | | 43 | 8 | | 44 | 7 | | 45 | 11 | | 46 | 15 | | 47 | 8 | | 48 | 32 | | 49 | 5 |
| |
| 52.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3302752293577982 | | totalSentences | 218 | | uniqueOpeners | 72 | |
| 59.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 168 | | matches | | 0 | "Then the pressure vanished." | | 1 | "Once, Rory heard footsteps keeping" | | 2 | "Then the stars returned." |
| | ratio | 0.018 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 168 | | matches | | 0 | "Their roots gripped the soil" | | 1 | "Their violet eyes rested on" | | 2 | "She drew it out by" | | 3 | "She shivered when she reached" | | 4 | "They gathered themselves into a" | | 5 | "It seemed too regular to" | | 6 | "She checked her phone." | | 7 | "It showed no signal." | | 8 | "They moved along a narrow" | | 9 | "It might have been a" | | 10 | "Its water ran perfectly clear" | | 11 | "Her fingertip met rough, dry" | | 12 | "Their reflection appeared in the" | | 13 | "They were watching it too." | | 14 | "They followed the stream uphill." | | 15 | "It stood regarding them with" | | 16 | "Its muzzle touched the water." | | 17 | "Its hoofbeats sounded from three" | | 18 | "She took another, quicker one." | | 19 | "It curved into another, then" |
| | ratio | 0.238 | |
| 28.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 145 | | totalSentences | 168 | | matches | | 0 | "The deer path ended at" | | 1 | "Rory stopped so abruptly that" | | 2 | "Eva caught her arm" | | 3 | "A moment ago, she would" | | 4 | "Rain had darkened the bark" | | 5 | "Their roots gripped the soil" | | 6 | "Nyx drifted up beside them," | | 7 | "Their violet eyes rested on" | | 8 | "Rory could see nothing between" | | 9 | "The Heartstone pendant lay against" | | 10 | "She drew it out by" | | 11 | "The warmth strengthened as she" | | 12 | "Rory tucked the pendant away" | | 13 | "The air pressed softly against" | | 14 | "Richmond Park had been grey" | | 15 | "Bluebells stood among late foxgloves" | | 16 | "Roses climbed a thornbush already" | | 17 | "Rory looked back." | | 18 | "Rory said, though she had" | | 19 | "Eva crossed with one hand" |
| | ratio | 0.863 | |
| 29.76% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 168 | | matches | | | ratio | 0.006 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 70 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 18 | | fancyCount | 2 | | fancyTags | | 0 | "they whispered (whisper)" | | 1 | "Eva repeated (repeat)" |
| | dialogueSentences | 52 | | tagDensity | 0.346 | | leniency | 0.692 | | rawRatio | 0.111 | | effectiveRatio | 0.077 | |