| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 90.12% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1518 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "perfectly" | | 1 | "slightly" | | 2 | "slowly" |
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| 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) | |
| 24.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1518 | | totalAiIsms | 23 | | found | | | highlights | | 0 | "chill" | | 1 | "warmth" | | 2 | "velvet" | | 3 | "scanning" | | 4 | "weight" | | 5 | "pulsed" | | 6 | "rhythmic" | | 7 | "pulse" | | 8 | "whisper" | | 9 | "scanned" | | 10 | "silence" | | 11 | "intricate" | | 12 | "echoes" | | 13 | "unreadable" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 187 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 187 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 187 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1518 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 64.36% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 81 | | wordCount | 1518 | | uniqueNames | 13 | | maxNameDensity | 1.71 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | London | 1 | | Veil | 2 | | Shade | 4 | | Aurora | 26 | | Varga | 1 | | Isolde | 18 | | Half-Fae | 1 | | Pendant | 1 | | Fae-Forged | 5 | | Blade | 5 | | Dymas | 2 | | Heartstone | 2 | | Nyx | 13 |
| | persons | | 0 | "Shade" | | 1 | "Aurora" | | 2 | "Varga" | | 3 | "Isolde" | | 4 | "Blade" | | 5 | "Heartstone" | | 6 | "Nyx" |
| | places | | | globalScore | 0.644 | | windowScore | 0.667 | |
| 43.16% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 117 | | glossingSentenceCount | 5 | | matches | | 0 | "felt like crushed velvet" | | 1 | "figures that seemed to writhe in the amber light" | | 2 | "felt like decades, yet no dust covered" | | 3 | "looked like people standing motionless in" | | 4 | "sounded like it came from everywhere at on" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.659 | | wordCount | 1518 | | matches | | 0 | "not the room, but the sky outside the room" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 187 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 80 | | mean | 18.98 | | std | 14.83 | | cv | 0.782 | | sampleLengths | | 0 | 59 | | 1 | 44 | | 2 | 33 | | 3 | 38 | | 4 | 32 | | 5 | 4 | | 6 | 34 | | 7 | 7 | | 8 | 37 | | 9 | 10 | | 10 | 32 | | 11 | 36 | | 12 | 8 | | 13 | 60 | | 14 | 2 | | 15 | 57 | | 16 | 2 | | 17 | 32 | | 18 | 3 | | 19 | 38 | | 20 | 35 | | 21 | 4 | | 22 | 4 | | 23 | 37 | | 24 | 2 | | 25 | 24 | | 26 | 36 | | 27 | 30 | | 28 | 6 | | 29 | 21 | | 30 | 3 | | 31 | 26 | | 32 | 2 | | 33 | 30 | | 34 | 28 | | 35 | 4 | | 36 | 37 | | 37 | 5 | | 38 | 4 | | 39 | 21 | | 40 | 24 | | 41 | 4 | | 42 | 33 | | 43 | 28 | | 44 | 33 | | 45 | 5 | | 46 | 14 | | 47 | 4 | | 48 | 36 | | 49 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 187 | | matches | | 0 | "were lined" | | 1 | "was covered" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 265 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 187 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1526 | | adjectiveStacks | 1 | | stackExamples | | 0 | "slender, leaf-shaped dagger," |
| | adverbCount | 33 | | adverbRatio | 0.02162516382699869 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.007863695937090432 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 187 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 187 | | mean | 8.12 | | std | 4.68 | | cv | 0.576 | | sampleLengths | | 0 | 16 | | 1 | 20 | | 2 | 23 | | 3 | 17 | | 4 | 16 | | 5 | 11 | | 6 | 4 | | 7 | 13 | | 8 | 16 | | 9 | 23 | | 10 | 6 | | 11 | 9 | | 12 | 24 | | 13 | 8 | | 14 | 4 | | 15 | 9 | | 16 | 16 | | 17 | 9 | | 18 | 3 | | 19 | 4 | | 20 | 11 | | 21 | 17 | | 22 | 9 | | 23 | 5 | | 24 | 5 | | 25 | 17 | | 26 | 10 | | 27 | 3 | | 28 | 2 | | 29 | 7 | | 30 | 14 | | 31 | 15 | | 32 | 8 | | 33 | 8 | | 34 | 9 | | 35 | 14 | | 36 | 15 | | 37 | 14 | | 38 | 2 | | 39 | 9 | | 40 | 12 | | 41 | 8 | | 42 | 8 | | 43 | 9 | | 44 | 11 | | 45 | 2 | | 46 | 18 | | 47 | 14 | | 48 | 3 | | 49 | 10 |
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| 39.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.1711229946524064 | | totalSentences | 187 | | uniqueOpeners | 32 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 176 | | matches | (empty) | | ratio | 0 | |
| 99.55% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 53 | | totalSentences | 176 | | matches | | 0 | "They moved without a sound," | | 1 | "It hung thick in the" | | 2 | "Her footprints left no mark" | | 3 | "She kept a hand over" | | 4 | "We are not alone." | | 5 | "She turned, pale lavender eyes" | | 6 | "It has been waiting." | | 7 | "We need to keep moving." | | 8 | "It is hunger." | | 9 | "She scanned the path ahead" | | 10 | "It had been set for" | | 11 | "She reached out, stopping just" | | 12 | "She held the Fae-Forged Blade" | | 13 | "It is bait." | | 14 | "She walked around the table," | | 15 | "It points that way." | | 16 | "It stood open just a" | | 17 | "She closed her eyes and" | | 18 | "They placed a hand on" | | 19 | "She brought the edge of" |
| | ratio | 0.301 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 164 | | totalSentences | 176 | | matches | | 0 | "The air shifted instantly, turning" | | 1 | "Aurora stepped through the shimmering" | | 2 | "The amber sky above stretched" | | 3 | "Nyx materialized beside her, their" | | 4 | "They moved without a sound," | | 5 | "The Shade shifted their weight," | | 6 | "The smell hit first." | | 7 | "It hung thick in the" | | 8 | "Isolde Varga walked ahead, her" | | 9 | "The Half-Fae seer made no" | | 10 | "Her footprints left no mark" | | 11 | "Heartstone Pendant at her chest" | | 12 | "She kept a hand over" | | 13 | "We are not alone." | | 14 | "Isolde stopped at the edge" | | 15 | "Trees with leaves of translucent" | | 16 | "She turned, pale lavender eyes" | | 17 | "The fruit sings." | | 18 | "It has been waiting." | | 19 | "Aurora pulled the Fae-Forged Blade" |
| | ratio | 0.932 | |
| 56.82% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 176 | | matches | | 0 | "If you eat, you stay." | | 1 | "If you leave, you remember." |
| | ratio | 0.011 | |
| 70.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 6 | | matches | | 0 | "Aurora stepped through the shimmering distortion of the Veil, her boots finding purchase on soil that felt like crushed velvet." | | 1 | "The amber sky above stretched endlessly, a dome of liquid honey light that offered no sun, no stars, only a perpetual twilight glow." | | 2 | "It hung thick in the atmosphere, a cloying sweetness that coated the back of Aurora’s throat." | | 3 | "Isolde Varga walked ahead, her silver hair trailing waist-length behind her, swaying in a wind that brushed Aurora’s hair but left Isolde untouched." | | 4 | "Heartstone Pendant at her chest pulsed against the silver chain, a rhythmic warmth against her skin that matched the beat of her own pulse." | | 5 | "The flesh recoiled, shrinking slightly as if burned by invisible fire." |
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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 | |