| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 95.98% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1243 | | 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) | |
| 23.57% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1243 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "searing" | | 1 | "pulse" | | 2 | "rhythmic" | | 3 | "scanning" | | 4 | "weight" | | 5 | "chill" | | 6 | "warmth" | | 7 | "stomach" | | 8 | "echoed" | | 9 | "vibrated" | | 10 | "marble" | | 11 | "glistening" | | 12 | "simmering" | | 13 | "flickered" | | 14 | "roaring" | | 15 | "grave" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 63 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 63 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 79 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1242 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 86.77% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 1028 | | uniqueNames | 7 | | maxNameDensity | 1.26 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Veil | 1 | | Rory | 13 | | Dymas | 1 | | Shade | 3 | | Isolde | 3 | | Half-Fae | 1 | | Nyx | 4 |
| | persons | | 0 | "Veil" | | 1 | "Rory" | | 2 | "Shade" | | 3 | "Isolde" | | 4 | "Half-Fae" | | 5 | "Nyx" |
| | places | (empty) | | globalScore | 0.868 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | 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 | 1242 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 29.57 | | std | 22.39 | | cv | 0.757 | | sampleLengths | | 0 | 19 | | 1 | 44 | | 2 | 51 | | 3 | 16 | | 4 | 40 | | 5 | 10 | | 6 | 66 | | 7 | 28 | | 8 | 66 | | 9 | 32 | | 10 | 5 | | 11 | 40 | | 12 | 13 | | 13 | 57 | | 14 | 28 | | 15 | 4 | | 16 | 48 | | 17 | 14 | | 18 | 19 | | 19 | 1 | | 20 | 10 | | 21 | 10 | | 22 | 63 | | 23 | 9 | | 24 | 50 | | 25 | 21 | | 26 | 3 | | 27 | 48 | | 28 | 26 | | 29 | 49 | | 30 | 6 | | 31 | 96 | | 32 | 10 | | 33 | 45 | | 34 | 10 | | 35 | 39 | | 36 | 17 | | 37 | 66 | | 38 | 11 | | 39 | 13 | | 40 | 34 | | 41 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 163 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 79 | | ratio | 0.013 | | matches | | 0 | "The scent rising from the chasm was intoxicating—truffles, seared fat, honeyed figs, and beneath it all, the metallic tang of fear." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 928 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.017241379310344827 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.008620689655172414 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 79 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 79 | | mean | 15.72 | | std | 7.86 | | cv | 0.5 | | sampleLengths | | 0 | 19 | | 1 | 21 | | 2 | 23 | | 3 | 7 | | 4 | 22 | | 5 | 22 | | 6 | 16 | | 7 | 12 | | 8 | 16 | | 9 | 12 | | 10 | 10 | | 11 | 15 | | 12 | 9 | | 13 | 20 | | 14 | 22 | | 15 | 28 | | 16 | 8 | | 17 | 17 | | 18 | 21 | | 19 | 20 | | 20 | 5 | | 21 | 27 | | 22 | 5 | | 23 | 24 | | 24 | 16 | | 25 | 13 | | 26 | 8 | | 27 | 22 | | 28 | 13 | | 29 | 14 | | 30 | 8 | | 31 | 20 | | 32 | 4 | | 33 | 6 | | 34 | 16 | | 35 | 6 | | 36 | 20 | | 37 | 14 | | 38 | 19 | | 39 | 1 | | 40 | 10 | | 41 | 10 | | 42 | 10 | | 43 | 3 | | 44 | 23 | | 45 | 27 | | 46 | 9 | | 47 | 15 | | 48 | 21 | | 49 | 14 |
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| 83.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5189873417721519 | | totalSentences | 79 | | uniqueOpeners | 41 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 62 | | matches | | 0 | "Dark, viscous, and smelling sharply" | | 1 | "Immediately, the garnet soil around" |
| | ratio | 0.032 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 8 | | totalSentences | 62 | | matches | | 0 | "She released the pendant, her" | | 1 | "Her boots sank an inch" | | 2 | "They descended into the grove." | | 3 | "She stepped closer to the" | | 4 | "She bumped into a low" | | 5 | "They had no eyes, only" | | 6 | "She kicked it away, raising" | | 7 | "Her straight black hair clung" |
| | ratio | 0.129 | |
| 89.03% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 62 | | matches | | 0 | "The shimmering distortion of the" | | 1 | "She released the pendant, her" | | 2 | "Sugar and roasted marrow coated" | | 3 | "The air hung thick, warmed" | | 4 | "Nyx’s voice scraped across her" | | 5 | "The Shade towered beside her," | | 6 | "Rory spat onto the garnet" | | 7 | "Her boots sank an inch" | | 8 | "Waist-length silver hair caught the" | | 9 | "Rory followed the Half-Fae's gaze" | | 10 | "Trunks twisted upward like braided" | | 11 | "They descended into the grove." | | 12 | "The canopy blocked the amber" | | 13 | "Nyx dissolved from the waist" | | 14 | "The violet eyes narrowed as" | | 15 | "Rory drew the leaf-shaped dagger" | | 16 | "The moonsilver blade bit her" | | 17 | "She stepped closer to the" | | 18 | "Veins webbed the inside of" | | 19 | "Something dark and curled floated" |
| | ratio | 0.742 | |
| 80.65% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 62 | | matches | | 0 | "Even from this height, she" |
| | ratio | 0.016 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 7 | | matches | | 0 | "The air hung thick, warmed by a vast, sunless vault of amber sky that stretched over rolling hills of dark purple grass." | | 1 | "No wind blew, yet the tall stalks swayed in a slow, rhythmic undulation, parting to reveal soil that gleamed like crushed garnets." | | 2 | "The Shade towered beside her, six feet of shifting, ink-black silhouette that drank the amber light." | | 3 | "Trunks twisted upward like braided muscles of dark mahogany, their bark weeping thick, translucent sap that smelled of cinnamon and cloves." | | 4 | "Dark, viscous, and smelling sharply of tannins and iron, it bubbled over smooth cobbles that looked suspiciously like polished molars." | | 5 | "The impact sent a spray of golden nectar high into the air, followed by a low, resonant chime that vibrated right through the soles of Rory's boots." | | 6 | "Bridges woven from spun sugar spanned the chasms, glistening under the amber sky, while miles of neatly trellised vineyards climbed the opposite canyon wall, th…" |
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| 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 | |