| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.391 | | leniency | 0.783 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 79.22% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 722 | | totalAiIsmAdverbs | 3 | | 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) | |
| 23.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 722 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "shimmered" | | 1 | "etched" | | 2 | "traced" | | 3 | "weight" | | 4 | "sanctuary" | | 5 | "throbbed" | | 6 | "chill" | | 7 | "desire" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "flicker of emotion" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "a glimmer of amusement" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 43 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 43 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 57 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 718 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 463 | | uniqueNames | 8 | | maxNameDensity | 1.73 | | worstName | "Isolde" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Isolde" | | discoveredNames | | Fae | 2 | | Grove | 1 | | Nyx | 5 | | Aurora | 7 | | Isolde | 8 | | Rory | 3 | | Fae-forged | 1 | | Black | 1 |
| | persons | | 0 | "Nyx" | | 1 | "Aurora" | | 2 | "Isolde" | | 3 | "Rory" |
| | places | | | globalScore | 0.636 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 36 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 718 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 57 | | matches | (empty) | |
| 67.78% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 16 | | mean | 44.88 | | std | 17.38 | | cv | 0.387 | | sampleLengths | | 0 | 88 | | 1 | 52 | | 2 | 52 | | 3 | 37 | | 4 | 42 | | 5 | 23 | | 6 | 65 | | 7 | 60 | | 8 | 51 | | 9 | 45 | | 10 | 46 | | 11 | 28 | | 12 | 18 | | 13 | 21 | | 14 | 39 | | 15 | 51 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 43 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 71 | | matches | (empty) | |
| 92.73% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 57 | | ratio | 0.018 | | matches | | 0 | "Isolde's gift - a slender, leaf-shaped dagger forged of moonsilver and luminescent in the moonlight." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 466 | | adjectiveStacks | 1 | | stackExamples | | 0 | "slender, leaf-shaped dagger" |
| | adverbCount | 16 | | adverbRatio | 0.034334763948497854 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.017167381974248927 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 57 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 57 | | mean | 12.6 | | std | 5.78 | | cv | 0.459 | | sampleLengths | | 0 | 12 | | 1 | 13 | | 2 | 13 | | 3 | 22 | | 4 | 3 | | 5 | 9 | | 6 | 16 | | 7 | 14 | | 8 | 9 | | 9 | 29 | | 10 | 21 | | 11 | 13 | | 12 | 13 | | 13 | 5 | | 14 | 10 | | 15 | 11 | | 16 | 16 | | 17 | 6 | | 18 | 9 | | 19 | 13 | | 20 | 7 | | 21 | 7 | | 22 | 12 | | 23 | 11 | | 24 | 11 | | 25 | 18 | | 26 | 13 | | 27 | 6 | | 28 | 17 | | 29 | 16 | | 30 | 21 | | 31 | 6 | | 32 | 17 | | 33 | 9 | | 34 | 5 | | 35 | 12 | | 36 | 25 | | 37 | 3 | | 38 | 16 | | 39 | 26 | | 40 | 9 | | 41 | 19 | | 42 | 18 | | 43 | 15 | | 44 | 13 | | 45 | 5 | | 46 | 13 | | 47 | 3 | | 48 | 18 | | 49 | 9 |
| |
| 98.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.631578947368421 | | totalSentences | 57 | | uniqueOpeners | 36 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 40 | | matches | | 0 | "Then her gaze fell on" | | 1 | "Even the grass seemed to" | | 2 | "Roughly the size of a" | | 3 | "Only a ragged band of" |
| | ratio | 0.1 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 40 | | matches | | 0 | "She trailed her fingers along" | | 1 | "She pivoted to face Nyx" | | 2 | "Their pale purple eyes reflected" | | 3 | "She traced the lines of" | | 4 | "Her silver hair shimmered down" | | 5 | "Their whispery voice tickled her" | | 6 | "She fixed Isolde with a" | | 7 | "She produced a bundle of" | | 8 | "Her bright blue eyes narrowed" |
| | ratio | 0.225 | |
| 97.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 29 | | totalSentences | 40 | | matches | | 0 | "Aurora's eyes adjusted slowly to" | | 1 | "She trailed her fingers along" | | 2 | "The air tasted of wild" | | 3 | "Time felt suspended." | | 4 | "She pivoted to face Nyx" | | 5 | "Nyx shrugged, a ripple of" | | 6 | "Their pale purple eyes reflected" | | 7 | "Aurora trailed off, words fleeing" | | 8 | "The sky overhead shimmered with" | | 9 | "Nyx said, gliding up beside" | | 10 | "Rory circled the towering stones" | | 11 | "She traced the lines of" | | 12 | "A thrill ran through her" | | 13 | "a musical voice chimed in" | | 14 | "Aurora turned to behold Isolde" | | 15 | "Her silver hair shimmered down" | | 16 | "Isolde led them to a" | | 17 | "Their whispery voice tickled her" | | 18 | "A crescent-shaped scar on Aurora's" | | 19 | "A chill ran through her." |
| | ratio | 0.725 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 40 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 63.04% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "Rory muttered (mutter)" | | 1 | "Nyx hissed (hiss)" |
| | dialogueSentences | 23 | | tagDensity | 0.217 | | leniency | 0.435 | | rawRatio | 0.4 | | effectiveRatio | 0.174 | |