| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.095 | | leniency | 0.19 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.94% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2431 | | 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) | |
| 54.75% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2431 | | totalAiIsms | 22 | | found | | | highlights | | 0 | "whisper" | | 1 | "silk" | | 2 | "vibrated" | | 3 | "flicker" | | 4 | "pulsed" | | 5 | "etched" | | 6 | "warmth" | | 7 | "footsteps" | | 8 | "traced" | | 9 | "echoes" | | 10 | "aligned" | | 11 | "echo" | | 12 | "scanned" | | 13 | "perfect" |
| |
| 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 | 181 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 181 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 200 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2431 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 92.87% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 64 | | wordCount | 2013 | | uniqueNames | 7 | | maxNameDensity | 1.14 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Isolde | 14 | | Richmond | 1 | | Ripples | 1 | | Aurora | 23 | | Nyx | 19 | | Through | 3 | | Ahead | 3 |
| | persons | | | places | | | globalScore | 0.929 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 164 | | glossingSentenceCount | 1 | | matches | | 0 | "appeared translucent near the base" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 0.823 | | wordCount | 2431 | | matches | | 0 | "not the overhead branches but overlapping outlines of other skies" | | 1 | "no pollen but" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 200 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 45.02 | | std | 36.71 | | cv | 0.815 | | sampleLengths | | 0 | 57 | | 1 | 14 | | 2 | 83 | | 3 | 57 | | 4 | 22 | | 5 | 19 | | 6 | 46 | | 7 | 54 | | 8 | 24 | | 9 | 21 | | 10 | 24 | | 11 | 62 | | 12 | 46 | | 13 | 18 | | 14 | 18 | | 15 | 17 | | 16 | 51 | | 17 | 59 | | 18 | 26 | | 19 | 57 | | 20 | 20 | | 21 | 13 | | 22 | 24 | | 23 | 29 | | 24 | 113 | | 25 | 53 | | 26 | 25 | | 27 | 78 | | 28 | 27 | | 29 | 75 | | 30 | 13 | | 31 | 131 | | 32 | 10 | | 33 | 22 | | 34 | 41 | | 35 | 18 | | 36 | 59 | | 37 | 16 | | 38 | 104 | | 39 | 9 | | 40 | 22 | | 41 | 133 | | 42 | 51 | | 43 | 21 | | 44 | 26 | | 45 | 31 | | 46 | 124 | | 47 | 25 | | 48 | 16 | | 49 | 24 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 181 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 346 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 200 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 2015 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 50 | | adverbRatio | 0.02481389578163772 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.0034739454094292804 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 200 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 200 | | mean | 12.16 | | std | 5.36 | | cv | 0.441 | | sampleLengths | | 0 | 17 | | 1 | 11 | | 2 | 17 | | 3 | 12 | | 4 | 14 | | 5 | 4 | | 6 | 15 | | 7 | 17 | | 8 | 9 | | 9 | 20 | | 10 | 18 | | 11 | 14 | | 12 | 9 | | 13 | 9 | | 14 | 10 | | 15 | 15 | | 16 | 12 | | 17 | 10 | | 18 | 19 | | 19 | 14 | | 20 | 4 | | 21 | 8 | | 22 | 11 | | 23 | 9 | | 24 | 14 | | 25 | 15 | | 26 | 5 | | 27 | 8 | | 28 | 3 | | 29 | 9 | | 30 | 16 | | 31 | 8 | | 32 | 10 | | 33 | 11 | | 34 | 24 | | 35 | 8 | | 36 | 10 | | 37 | 12 | | 38 | 16 | | 39 | 7 | | 40 | 9 | | 41 | 14 | | 42 | 15 | | 43 | 5 | | 44 | 5 | | 45 | 7 | | 46 | 18 | | 47 | 8 | | 48 | 10 | | 49 | 17 |
| |
| 40.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.175 | | totalSentences | 200 | | uniqueOpeners | 35 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 181 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 181 | | matches | | 0 | "Her silver hair caught stray" | | 1 | "They advanced along a path" | | 2 | "Their form thinned until only" | | 3 | "She picked one up." | | 4 | "She set it back down" | | 5 | "Her own image stared back" | | 6 | "They reformed solid enough to" | | 7 | "She led them onward past" | | 8 | "She brushed at the spot." | | 9 | "Her sleeve came away clean." | | 10 | "She pointed toward a narrower" | | 11 | "Their petals released tiny sparks" | | 12 | "It tickled like static before" | | 13 | "They reached a break in" | | 14 | "Their fronds unfurled and refurled" | | 15 | "Their voice arrived from multiple" | | 16 | "It led into tighter growth" | | 17 | "Their centers released thin streams" | | 18 | "It reformed behind her steps." | | 19 | "She stood again and the" |
| | ratio | 0.16 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 169 | | totalSentences | 181 | | matches | | 0 | "Aurora crossed the threshold defined" | | 1 | "Moss gave way to soft" | | 2 | "Nyx flowed ahead as a" | | 3 | "The faint violet glow from" | | 4 | "Nyx's whisper trailed behind them" | | 5 | "Isolde moved without sound." | | 6 | "Her silver hair caught stray" | | 7 | "Aurora adjusted the silver chain" | | 8 | "The clearing stretched wider than" | | 9 | "Wildflowers carpeted the soil in" | | 10 | "The scent carried earth and" | | 11 | "They advanced along a path" | | 12 | "Aurora placed a hand on" | | 13 | "The tree vibrated once beneath" | | 14 | "Leaves overhead rustled in patterns" | | 15 | "Light fell in straight columns" | | 16 | "Nyx slipped sideways into a" | | 17 | "Their form thinned until only" | | 18 | "Aurora stepped around a cluster" | | 19 | "She picked one up." |
| | ratio | 0.934 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 181 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 108 | | technicalSentenceCount | 6 | | matches | | 0 | "Her silver hair caught stray beams that filtered from above and turned them pale lavender." | | 1 | "Light fell in straight columns that cast elongated shadows longer than the objects producing them." | | 2 | "The temperature stabilized into a cool evenness that eased the earlier shifts." | | 3 | "Nyx circled the clearing edge and noted each tree that responded to their presence by deepening the shadows at its base." | | 4 | "The empty circle filled with swirling darkness that mirrored their silhouette before flattening again." | | 5 | "The drum vibration settled into a steady baseline that marked their progress forward." |
| |
| 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 | |