| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 11 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 991 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 24.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 991 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "throbbed" | | 1 | "pulsed" | | 2 | "warmth" | | 3 | "flickered" | | 4 | "scanning" | | 5 | "trembled" | | 6 | "silence" | | 7 | "silk" | | 8 | "pulse" | | 9 | "beacon" |
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| 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 | 90 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 90 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 989 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 952 | | uniqueNames | 16 | | maxNameDensity | 0.95 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 9 | | Carter | 1 | | Fae | 3 | | Grove | 3 | | Richmond | 1 | | Park | 1 | | London | 1 | | Yu-Fei | 1 | | Cheung | 1 | | Golden | 1 | | Empress | 1 | | Earth | 1 | | Heartstone | 2 | | Hel | 1 | | Cardiff | 1 | | Evan | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Carter" | | 2 | "Yu-Fei" | | 3 | "Cheung" | | 4 | "Heartstone" | | 5 | "Evan" |
| | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "Richmond" | | 3 | "Park" | | 4 | "London" | | 5 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like blood in lamplight" |
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| 98.89% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.011 | | wordCount | 989 | | matches | | 0 | "no longer plucked strings but" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 21.98 | | std | 18.46 | | cv | 0.84 | | sampleLengths | | 0 | 87 | | 1 | 5 | | 2 | 38 | | 3 | 22 | | 4 | 48 | | 5 | 16 | | 6 | 16 | | 7 | 54 | | 8 | 43 | | 9 | 35 | | 10 | 2 | | 11 | 5 | | 12 | 5 | | 13 | 14 | | 14 | 13 | | 15 | 5 | | 16 | 25 | | 17 | 53 | | 18 | 4 | | 19 | 23 | | 20 | 23 | | 21 | 4 | | 22 | 60 | | 23 | 11 | | 24 | 6 | | 25 | 32 | | 26 | 20 | | 27 | 3 | | 28 | 3 | | 29 | 33 | | 30 | 14 | | 31 | 4 | | 32 | 25 | | 33 | 15 | | 34 | 25 | | 35 | 5 | | 36 | 32 | | 37 | 26 | | 38 | 17 | | 39 | 5 | | 40 | 45 | | 41 | 35 | | 42 | 7 | | 43 | 5 | | 44 | 21 |
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| 97.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 90 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 167 | | matches | | 0 | "was not imagining" | | 1 | "was breathing" |
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| 79.37% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 90 | | ratio | 0.022 | | matches | | 0 | "Aurora touched the crescent scar on her left wrist—glass, blood, her mother’s hands, a childhood accident that never fully healed." | | 1 | "The face was turned away, or missing, or hidden by shadow—she could not say which." |
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| 97.85% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 471 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.04246284501061571 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.012738853503184714 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 10.99 | | std | 8.79 | | cv | 0.8 | | sampleLengths | | 0 | 9 | | 1 | 22 | | 2 | 9 | | 3 | 16 | | 4 | 31 | | 5 | 5 | | 6 | 9 | | 7 | 18 | | 8 | 4 | | 9 | 7 | | 10 | 20 | | 11 | 2 | | 12 | 4 | | 13 | 27 | | 14 | 17 | | 15 | 16 | | 16 | 3 | | 17 | 13 | | 18 | 2 | | 19 | 21 | | 20 | 9 | | 21 | 22 | | 22 | 8 | | 23 | 6 | | 24 | 29 | | 25 | 5 | | 26 | 8 | | 27 | 2 | | 28 | 7 | | 29 | 13 | | 30 | 2 | | 31 | 5 | | 32 | 5 | | 33 | 3 | | 34 | 11 | | 35 | 13 | | 36 | 5 | | 37 | 25 | | 38 | 3 | | 39 | 14 | | 40 | 9 | | 41 | 20 | | 42 | 4 | | 43 | 3 | | 44 | 4 | | 45 | 5 | | 46 | 18 | | 47 | 4 | | 48 | 19 | | 49 | 4 |
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| 41.85% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.3111111111111111 | | totalSentences | 90 | | uniqueOpeners | 28 | |
| 43.86% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 76 | | matches | | 0 | "Only her own breath, which" |
| | ratio | 0.013 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 76 | | matches | | 0 | "She stood at the boundary" | | 1 | "It settled into her ribs" | | 2 | "She wore the thin jacket" | | 3 | "It spoke through branches without" | | 4 | "She checked the pendant." | | 5 | "she said to the stone," | | 6 | "She had crossed the park" | | 7 | "Their bark peeled like old" | | 8 | "She spoke again, to break" | | 9 | "She was cool-headed, intelligent, known" | | 10 | "She had fled Cardiff, fled" | | 11 | "She reached the center." | | 12 | "Her breath came ragged." | | 13 | "It wore a jacket like" | | 14 | "She spoke to the dark," | | 15 | "Its bark was warm, blood-warm," | | 16 | "Her watch was gone, or" | | 17 | "She held the Heartstone to" | | 18 | "She would not close them." | | 19 | "She would not turn away." |
| | ratio | 0.289 | |
| 38.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 76 | | matches | | 0 | "The oak standing stones bit" | | 1 | "She stood at the boundary" | | 2 | "It settled into her ribs" | | 3 | "She wore the thin jacket" | | 4 | "The clearing opened like a" | | 5 | "Wildflowers bloomed in violet and" | | 6 | "The air moved differently." | | 7 | "It spoke through branches without" | | 8 | "Aurora touched the crescent scar" | | 9 | "She checked the pendant." | | 10 | "The Heartstone rested against her" | | 11 | "Here, the warmth sharpened, pointing" | | 12 | "she said to the stone," | | 13 | "The watch on her wrist" | | 14 | "Minutes outside could stretch into" | | 15 | "She had crossed the park" | | 16 | "The oak trunks stood older" | | 17 | "Their bark peeled like old" | | 18 | "Aurora kept her bright blue" | | 19 | "A sound split the dark." |
| | ratio | 0.842 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 37.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 5 | | matches | | 0 | "Black hair, straight and shoulder-length, stuck to her neck, heavy with mist that tasted of copper." | | 1 | "She wore the thin jacket from Yu-Fei Cheung’s Golden Empress delivery rounds, but the temperature here was wrong, a pocket between Earth and the Fae realm that …" | | 2 | "Only her own breath, which felt too loud, too separate from the stillness." | | 3 | "The heartstone grew warmer, crimson deepening to something that looked like blood in lamplight." | | 4 | "The faint inner glow became a pulse that did not match her own, demanding, hungry." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 11 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0.091 | | effectiveRatio | 0.091 | |