| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 93.08% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1446 | | 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) | |
| 48.13% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1446 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "flickered" | | 1 | "vibrated" | | 2 | "velvet" | | 3 | "crystalline" | | 4 | "stomach" | | 5 | "echo" | | 6 | "pulse" | | 7 | "trembled" | | 8 | "potential" | | 9 | "shimmered" | | 10 | "structure" | | 11 | "pulsed" | | 12 | "scanning" |
| |
| 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 | 143 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 143 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 143 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1446 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 1446 | | uniqueNames | 14 | | maxNameDensity | 0.97 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | December | 1 | | Cardiff | 1 | | Fae | 2 | | Heartstone | 1 | | Pendant | 1 | | Hel | 1 | | Aurora | 14 | | Evan | 1 | | Rory | 1 | | Isolde | 8 | | Nyx | 8 | | One | 3 |
| | persons | | 0 | "December" | | 1 | "Pendant" | | 2 | "Aurora" | | 3 | "Evan" | | 4 | "Rory" | | 5 | "Isolde" | | 6 | "Nyx" | | 7 | "One" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Cardiff" | | 3 | "Heartstone" | | 4 | "Hel" |
| | globalScore | 1 | | windowScore | 0.833 | |
| 40.35% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 114 | | glossingSentenceCount | 5 | | matches | | 0 | "as if listening" | | 1 | "appeared beneath her steps, narrow and winding, as though the ground itself decided where she belonged" | | 2 | "felt like a question she had not asked" | | 3 | "looked like emerald velvet" | | 4 | "looked like slow swirls of stars" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1446 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 143 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 24.93 | | std | 18.23 | | cv | 0.731 | | sampleLengths | | 0 | 58 | | 1 | 24 | | 2 | 9 | | 3 | 23 | | 4 | 15 | | 5 | 38 | | 6 | 12 | | 7 | 46 | | 8 | 13 | | 9 | 19 | | 10 | 50 | | 11 | 38 | | 12 | 10 | | 13 | 9 | | 14 | 13 | | 15 | 22 | | 16 | 15 | | 17 | 47 | | 18 | 65 | | 19 | 4 | | 20 | 12 | | 21 | 9 | | 22 | 11 | | 23 | 19 | | 24 | 25 | | 25 | 13 | | 26 | 41 | | 27 | 47 | | 28 | 22 | | 29 | 16 | | 30 | 13 | | 31 | 65 | | 32 | 31 | | 33 | 9 | | 34 | 12 | | 35 | 12 | | 36 | 15 | | 37 | 14 | | 38 | 50 | | 39 | 11 | | 40 | 34 | | 41 | 7 | | 42 | 49 | | 43 | 6 | | 44 | 20 | | 45 | 8 | | 46 | 10 | | 47 | 38 | | 48 | 19 | | 49 | 78 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 143 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 262 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 143 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1449 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 48 | | adverbRatio | 0.033126293995859216 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.008281573498964804 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 143 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 143 | | mean | 10.11 | | std | 6.08 | | cv | 0.601 | | sampleLengths | | 0 | 15 | | 1 | 15 | | 2 | 18 | | 3 | 10 | | 4 | 18 | | 5 | 6 | | 6 | 9 | | 7 | 15 | | 8 | 8 | | 9 | 10 | | 10 | 5 | | 11 | 10 | | 12 | 11 | | 13 | 4 | | 14 | 13 | | 15 | 9 | | 16 | 3 | | 17 | 15 | | 18 | 23 | | 19 | 8 | | 20 | 13 | | 21 | 12 | | 22 | 7 | | 23 | 5 | | 24 | 18 | | 25 | 14 | | 26 | 13 | | 27 | 4 | | 28 | 17 | | 29 | 3 | | 30 | 14 | | 31 | 3 | | 32 | 7 | | 33 | 9 | | 34 | 7 | | 35 | 6 | | 36 | 10 | | 37 | 12 | | 38 | 6 | | 39 | 1 | | 40 | 8 | | 41 | 3 | | 42 | 6 | | 43 | 13 | | 44 | 13 | | 45 | 12 | | 46 | 15 | | 47 | 12 | | 48 | 15 | | 49 | 6 |
| |
| 62.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.38461538461538464 | | totalSentences | 143 | | uniqueOpeners | 55 | |
| 94.56% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 141 | | matches | | 0 | "Instead they breathe." | | 1 | "Only the present loses the" | | 2 | "Even the insects here try" | | 3 | "Too much wonder and the" |
| | ratio | 0.028 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 141 | | matches | | 0 | "Her boots sank into grass" | | 1 | "She straightened and took in" | | 2 | "She glanced back once." | | 3 | "She crouched beside a cluster" | | 4 | "I learned that in the" | | 5 | "Their trunks spiraled upward in" | | 6 | "She touched one." | | 7 | "It showed a blade a" | | 8 | "I hear my old name" | | 9 | "It coated her tongue with" | | 10 | "Her heart beat steady, but" | | 11 | "They reached a clearing where" | | 12 | "Her voice wove through the" | | 13 | "It reacts here too." | | 14 | "I thought the pendant only" | | 15 | "She steadied her stance." | | 16 | "They continued along the path" | | 17 | "Her muscles carried the memory" | | 18 | "My legs say half a" | | 19 | "My watch still shows the" |
| | ratio | 0.284 | |
| 45.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 117 | | totalSentences | 141 | | matches | | 0 | "Aurora pushed through the last" | | 1 | "The air thickened around her" | | 2 | "Her boots sank into grass" | | 3 | "She straightened and took in" | | 4 | "Nyx slid from the shadow" | | 5 | "Violet light flickered in their" | | 6 | "This ground does not welcome" | | 7 | "Isolde stepped out beside them," | | 8 | "The grove opens its throat" | | 9 | "Aurora rubbed the small crescent" | | 10 | "The skin there always tightened" | | 11 | "She glanced back once." | | 12 | "The park, the traffic hum," | | 13 | "These flowers should be dead" | | 14 | "She crouched beside a cluster" | | 15 | "The memory sharpened so quickly" | | 16 | "Nyx drifted closer, their voice" | | 17 | "I learned that in the" | | 18 | "Aurora rose and kept moving." | | 19 | "The path appeared beneath her" |
| | ratio | 0.83 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 141 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 70 | | technicalSentenceCount | 4 | | matches | | 0 | "Crystalline pulp glittered inside, releasing a scent that made her stomach growl despite the danger she sensed." | | 1 | "The ground trembled lightly under them, a soft rolling that could have been distant thunder or the grove itself stretching." | | 2 | "Fish with mirror scales darted beneath the surface, their bodies flashing reflections of places Aurora had never seen, vineyards heavy with black grapes, tables…" | | 3 | "Each step revealed new details: tiny carved runes on the tree roots that rearranged when she stared, clusters of berries that chimed like bells when the wind th…" |
| |
| 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 | |