| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 88.37% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1719 | | totalAiIsmAdverbs | 4 | | 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) | |
| 18.56% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1719 | | totalAiIsms | 28 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | |
| | highlights | | 0 | "chill" | | 1 | "absolutely" | | 2 | "imposing" | | 3 | "shimmered" | | 4 | "fascinating" | | 5 | "warmth" | | 6 | "pulsed" | | 7 | "rhythmic" | | 8 | "intricate" | | 9 | "shattered" | | 10 | "vibrated" | | 11 | "perfect" | | 12 | "pulse" | | 13 | "throbbed" | | 14 | "scanned" | | 15 | "crystal" | | 16 | "structure" | | 17 | "stomach" | | 18 | "oppressive" | | 19 | "traced" | | 20 | "sturdy" | | 21 | "echoed" | | 22 | "flickered" | | 23 | "hulking" | | 24 | "resonated" |
| |
| 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 | 125 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 125 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 155 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1707 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 43.16% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 61 | | wordCount | 1404 | | uniqueNames | 13 | | maxNameDensity | 2.14 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 30 | | Carter | 1 | | London | 1 | | Richmond | 1 | | Park | 1 | | Varga | 1 | | Fae | 3 | | Nyx | 9 | | Heartstone | 2 | | Fae-forged | 1 | | Isolde | 9 | | Dymasian | 1 | | Grove | 1 |
| | persons | | 0 | "Rory" | | 1 | "Carter" | | 2 | "Varga" | | 3 | "Nyx" | | 4 | "Heartstone" | | 5 | "Isolde" |
| | places | | 0 | "London" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "Fae" | | 4 | "Dymasian" | | 5 | "Grove" |
| | globalScore | 0.432 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 112 | | 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 | 1707 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 155 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 80 | | mean | 21.34 | | std | 14.93 | | cv | 0.7 | | sampleLengths | | 0 | 63 | | 1 | 41 | | 2 | 9 | | 3 | 30 | | 4 | 5 | | 5 | 31 | | 6 | 68 | | 7 | 17 | | 8 | 7 | | 9 | 23 | | 10 | 21 | | 11 | 33 | | 12 | 7 | | 13 | 29 | | 14 | 12 | | 15 | 10 | | 16 | 12 | | 17 | 46 | | 18 | 14 | | 19 | 8 | | 20 | 11 | | 21 | 17 | | 22 | 64 | | 23 | 23 | | 24 | 23 | | 25 | 12 | | 26 | 39 | | 27 | 5 | | 28 | 10 | | 29 | 14 | | 30 | 25 | | 31 | 40 | | 32 | 2 | | 33 | 15 | | 34 | 38 | | 35 | 2 | | 36 | 14 | | 37 | 13 | | 38 | 10 | | 39 | 14 | | 40 | 24 | | 41 | 9 | | 42 | 55 | | 43 | 30 | | 44 | 34 | | 45 | 4 | | 46 | 19 | | 47 | 48 | | 48 | 12 | | 49 | 9 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 125 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 218 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 155 | | ratio | 0 | | matches | (empty) | |
| 76.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1416 | | adjectiveStacks | 4 | | stackExamples | | 0 | "small crescent-shaped scar" | | 1 | "slender, leaf-shaped blade." | | 2 | "fresh, lavender-scented air" | | 3 | "wispy, shadow-formed appendage." |
| | adverbCount | 31 | | adverbRatio | 0.021892655367231638 | | lyAdverbCount | 18 | | lyAdverbRatio | 0.012711864406779662 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 155 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 155 | | mean | 11.01 | | std | 4.47 | | cv | 0.406 | | sampleLengths | | 0 | 13 | | 1 | 14 | | 2 | 17 | | 3 | 19 | | 4 | 6 | | 5 | 15 | | 6 | 11 | | 7 | 9 | | 8 | 9 | | 9 | 5 | | 10 | 12 | | 11 | 13 | | 12 | 5 | | 13 | 8 | | 14 | 5 | | 15 | 7 | | 16 | 11 | | 17 | 9 | | 18 | 16 | | 19 | 13 | | 20 | 10 | | 21 | 10 | | 22 | 10 | | 23 | 11 | | 24 | 6 | | 25 | 7 | | 26 | 4 | | 27 | 14 | | 28 | 5 | | 29 | 21 | | 30 | 6 | | 31 | 10 | | 32 | 17 | | 33 | 7 | | 34 | 5 | | 35 | 11 | | 36 | 13 | | 37 | 12 | | 38 | 2 | | 39 | 8 | | 40 | 12 | | 41 | 4 | | 42 | 10 | | 43 | 11 | | 44 | 13 | | 45 | 8 | | 46 | 14 | | 47 | 8 | | 48 | 11 | | 49 | 8 |
| |
| 42.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.2645161290322581 | | totalSentences | 155 | | uniqueOpeners | 41 | |
| 27.10% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 123 | | matches | | 0 | "Instead of the bleak, leafless" |
| | ratio | 0.008 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 123 | | matches | | 0 | "She squeezed between the colossal" | | 1 | "Her bare feet brushed the" | | 2 | "She left absolutely no footprints" | | 3 | "She pushed her hand forward." | | 4 | "Her boots hit solid ground" | | 5 | "She tapped the glass face." | | 6 | "She adjusted her shirt, revealing" | | 7 | "She pulled the silver chain" | | 8 | "She hovered inches above beds" | | 9 | "She snatched her hand away," | | 10 | "They stepped into a narrow" | | 11 | "She drew the slender, leaf-shaped" | | 12 | "She swung the dagger at" | | 13 | "She sheathed the cold weapon." | | 14 | "They emerged from the ravine" | | 15 | "She hissed, lifting the silver" | | 16 | "She stared directly into the" | | 17 | "She brushed her pale fingers" | | 18 | "She planted her boots wide" |
| | ratio | 0.154 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 115 | | totalSentences | 123 | | matches | | 0 | "The rough bark of the" | | 1 | "She squeezed between the colossal" | | 2 | "The chill of Richmond Park" | | 3 | "The distortion resembled spilled oil" | | 4 | "Isolde Varga glided toward the" | | 5 | "The Fae seer's silver hair" | | 6 | "Her bare feet brushed the" | | 7 | "She left absolutely no footprints" | | 8 | "Rory glanced back at Nyx." | | 9 | "The shade towered behind her" | | 10 | "Violet light bled from the" | | 11 | "Rory turned her attention back" | | 12 | "She pushed her hand forward." | | 13 | "The barrier offered a faint," | | 14 | "The world beyond sucked her" | | 15 | "Her boots hit solid ground" | | 16 | "The air immediately flooded her" | | 17 | "Blankets of azure and magenta" | | 18 | "The blooms stretched infinitely among" | | 19 | "The bark on the trunks" |
| | ratio | 0.935 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 123 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 79 | | technicalSentenceCount | 2 | | matches | | 0 | "Rory followed, boots crunching on fallen leaves that shattered with the distinct noise of breaking green glass." | | 1 | "The contrasting temperatures created a turbulent miniature vortex of wind that whipped her hair across her face." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |