| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 91.62% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1193 | | totalAiIsmAdverbs | 2 | | 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) | |
| 41.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1193 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "warmth" | | 1 | "vibrated" | | 2 | "silence" | | 3 | "weight" | | 4 | "pulsed" | | 5 | "gloom" | | 6 | "shimmered" | | 7 | "could feel" | | 8 | "beacon" | | 9 | "stomach" | | 10 | "pulse" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "heart pounded in chest" | | count | 1 |
| | 1 | | label | "clenched jaw/fists" | | count | 1 |
|
| | highlights | | 0 | "heart hammered in her chest" | | 1 | "clenched her fists" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 199 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 199 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 199 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 18 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1193 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 62 | | wordCount | 1193 | | uniqueNames | 13 | | maxNameDensity | 1.84 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Aurora" | | discoveredNames | | Rory | 1 | | Aurora | 22 | | Auroras | 1 | | Veil | 3 | | Dymas | 3 | | Fae-Forged | 1 | | Blade | 1 | | Fae | 3 | | Courts | 1 | | Nyx | 12 | | Solstice | 1 | | Hel | 1 | | Isolde | 12 |
| | persons | | 0 | "Rory" | | 1 | "Aurora" | | 2 | "Blade" | | 3 | "Nyx" | | 4 | "Solstice" | | 5 | "Isolde" |
| | places | | | globalScore | 0.578 | | windowScore | 0.5 | |
| 72.68% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 97 | | glossingSentenceCount | 3 | | matches | | 0 | "tasted like ozone and crushed mint" | | 1 | "felt like living skin under her fingert" | | 2 | "looked like he was trapped in the stone" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.838 | | wordCount | 1193 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 199 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 128 | | mean | 9.32 | | std | 7.56 | | cv | 0.811 | | sampleLengths | | 0 | 57 | | 1 | 25 | | 2 | 10 | | 3 | 8 | | 4 | 28 | | 5 | 8 | | 6 | 13 | | 7 | 11 | | 8 | 25 | | 9 | 6 | | 10 | 7 | | 11 | 21 | | 12 | 4 | | 13 | 10 | | 14 | 8 | | 15 | 28 | | 16 | 4 | | 17 | 14 | | 18 | 22 | | 19 | 8 | | 20 | 6 | | 21 | 2 | | 22 | 11 | | 23 | 5 | | 24 | 8 | | 25 | 30 | | 26 | 6 | | 27 | 15 | | 28 | 4 | | 29 | 29 | | 30 | 5 | | 31 | 2 | | 32 | 12 | | 33 | 8 | | 34 | 4 | | 35 | 5 | | 36 | 15 | | 37 | 7 | | 38 | 28 | | 39 | 7 | | 40 | 7 | | 41 | 15 | | 42 | 5 | | 43 | 4 | | 44 | 14 | | 45 | 6 | | 46 | 8 | | 47 | 17 | | 48 | 1 | | 49 | 6 |
| |
| 99.97% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 199 | | matches | | 0 | "are made" | | 1 | "was made" | | 2 | "was trapped" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 232 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 199 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1198 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.020868113522537562 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.005843071786310518 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 199 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 199 | | mean | 5.99 | | std | 2.99 | | cv | 0.498 | | sampleLengths | | 0 | 8 | | 1 | 11 | | 2 | 10 | | 3 | 10 | | 4 | 18 | | 5 | 13 | | 6 | 12 | | 7 | 3 | | 8 | 7 | | 9 | 8 | | 10 | 3 | | 11 | 12 | | 12 | 13 | | 13 | 8 | | 14 | 4 | | 15 | 9 | | 16 | 7 | | 17 | 4 | | 18 | 9 | | 19 | 16 | | 20 | 6 | | 21 | 7 | | 22 | 9 | | 23 | 10 | | 24 | 2 | | 25 | 4 | | 26 | 3 | | 27 | 7 | | 28 | 5 | | 29 | 3 | | 30 | 12 | | 31 | 10 | | 32 | 6 | | 33 | 4 | | 34 | 14 | | 35 | 4 | | 36 | 6 | | 37 | 12 | | 38 | 8 | | 39 | 6 | | 40 | 2 | | 41 | 1 | | 42 | 2 | | 43 | 8 | | 44 | 5 | | 45 | 3 | | 46 | 5 | | 47 | 8 | | 48 | 4 | | 49 | 9 |
| |
| 37.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 25 | | diversityRatio | 0.18090452261306533 | | totalSentences | 199 | | uniqueOpeners | 36 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 189 | | matches | | 0 | "Only what we find." | | 1 | "Then learn quickly." | | 2 | "Only their voice remained, sounding" | | 3 | "Only a destination." | | 4 | "Then know this." | | 5 | "Then we must open the" |
| | ratio | 0.032 | |
| 82.43% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 65 | | totalSentences | 189 | | matches | | 0 | "She stood on the edge" | | 1 | "We are too deep in" | | 2 | "It does not matter where" | | 3 | "It carried a scent of" | | 4 | "They are not alone in" | | 5 | "It is the Veil breathing." | | 6 | "It thins here." | | 7 | "We can, but the portal" | | 8 | "She did not raise her" | | 9 | "I saw figures on the" | | 10 | "It is a matter of" | | 11 | "I know nothing of Dymas." | | 12 | "It hummed with a rhythm" | | 13 | "She knew this weapon belonged" | | 14 | "You are not going there" | | 15 | "We have to walk." | | 16 | "She placed her hand on" | | 17 | "It felt like cold metal." | | 18 | "They came from the light." | | 19 | "It follows the tear." |
| | ratio | 0.344 | |
| 12.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 169 | | totalSentences | 189 | | matches | | 0 | "Aurora pulled the silver chain" | | 1 | "The pendant rested beneath her" | | 2 | "A low hum vibrated against" | | 3 | "The air around them tasted" | | 4 | "She stood on the edge" | | 5 | "Nyx floated just above the" | | 6 | "The silence stretched between them," | | 7 | "Isolde stepped forward." | | 8 | "The ground under her feet" | | 9 | "We are too deep in" | | 10 | "Aurora looked up." | | 11 | "Isolde's lavender eyes caught the" | | 12 | "The trees here spiraled in" | | 13 | "Isolde lifted a hand." | | 14 | "A flock of silver-winged moths" | | 15 | "It does not matter where" | | 16 | "The wind rippled through the" | | 17 | "It carried a scent of" | | 18 | "Nyx leaned closer to Auroras" | | 19 | "They are not alone in" |
| | ratio | 0.894 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 189 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 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 | |