| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 54 | | tagDensity | 0.315 | | leniency | 0.63 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.14% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1746 | | 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) | |
| 65.64% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1746 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "pulse" | | 1 | "warmth" | | 2 | "stomach" | | 3 | "chilled" | | 4 | "comforting" | | 5 | "weight" | | 6 | "lurched" | | 7 | "gleaming" | | 8 | "echoes" | | 9 | "trembled" | | 10 | "quickened" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 168 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 168 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 205 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1742 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 63 | | wordCount | 1431 | | uniqueNames | 11 | | maxNameDensity | 1.89 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 2 | | Aurora | 27 | | Richmond | 1 | | Park | 1 | | Isolde | 10 | | Fae-forged | 1 | | Nyx | 11 | | Golden | 2 | | Empress | 2 | | Fae | 2 | | One | 4 |
| | persons | | 0 | "Aurora" | | 1 | "Isolde" | | 2 | "Nyx" | | 3 | "Empress" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Golden" | | 3 | "One" |
| | globalScore | 0.557 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 116 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like sleeping hearts" |
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| 85.19% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.148 | | wordCount | 1742 | | matches | | 0 | "not like a pulse but like a fist knocking from the other side of a locked door" | | 1 | "Not with echoes, but with bells of their own" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 205 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 116 | | mean | 15.02 | | std | 16.03 | | cv | 1.067 | | sampleLengths | | 0 | 10 | | 1 | 44 | | 2 | 27 | | 3 | 12 | | 4 | 12 | | 5 | 52 | | 6 | 7 | | 7 | 43 | | 8 | 5 | | 9 | 14 | | 10 | 33 | | 11 | 8 | | 12 | 5 | | 13 | 8 | | 14 | 12 | | 15 | 1 | | 16 | 5 | | 17 | 7 | | 18 | 9 | | 19 | 75 | | 20 | 8 | | 21 | 23 | | 22 | 8 | | 23 | 2 | | 24 | 8 | | 25 | 1 | | 26 | 5 | | 27 | 6 | | 28 | 19 | | 29 | 6 | | 30 | 3 | | 31 | 18 | | 32 | 16 | | 33 | 13 | | 34 | 3 | | 35 | 18 | | 36 | 6 | | 37 | 5 | | 38 | 6 | | 39 | 11 | | 40 | 4 | | 41 | 4 | | 42 | 5 | | 43 | 9 | | 44 | 3 | | 45 | 68 | | 46 | 5 | | 47 | 20 | | 48 | 5 | | 49 | 44 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 168 | | matches | | 0 | "been paved" | | 1 | "been torn" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 245 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 205 | | ratio | 0.015 | | matches | | 0 | "The scent followed, rich enough to taste—roasted pears, burnt sugar, crushed herbs, meat glazed with something sharp and sweet." | | 1 | "The vines bore grapes in every shade she had seen—purple, green, black, red—and colours she had no name for." | | 2 | "The smell flooded her nose—red wine, cinnamon, and something rotting in a closed cupboard." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1445 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.023529411764705882 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0020761245674740486 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 205 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 205 | | mean | 8.5 | | std | 5 | | cv | 0.588 | | sampleLengths | | 0 | 10 | | 1 | 22 | | 2 | 5 | | 3 | 17 | | 4 | 10 | | 5 | 17 | | 6 | 9 | | 7 | 3 | | 8 | 12 | | 9 | 18 | | 10 | 22 | | 11 | 5 | | 12 | 7 | | 13 | 7 | | 14 | 5 | | 15 | 7 | | 16 | 19 | | 17 | 12 | | 18 | 5 | | 19 | 7 | | 20 | 7 | | 21 | 5 | | 22 | 11 | | 23 | 9 | | 24 | 8 | | 25 | 8 | | 26 | 5 | | 27 | 8 | | 28 | 12 | | 29 | 1 | | 30 | 5 | | 31 | 7 | | 32 | 9 | | 33 | 8 | | 34 | 27 | | 35 | 23 | | 36 | 17 | | 37 | 8 | | 38 | 5 | | 39 | 6 | | 40 | 12 | | 41 | 5 | | 42 | 3 | | 43 | 2 | | 44 | 8 | | 45 | 1 | | 46 | 5 | | 47 | 6 | | 48 | 19 | | 49 | 6 |
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| 62.93% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.3804878048780488 | | totalSentences | 205 | | uniqueOpeners | 78 | |
| 68.03% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 147 | | matches | | 0 | "Then she vanished." | | 1 | "Then her boots struck stone." | | 2 | "Then another sound rode beneath" |
| | ratio | 0.02 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 147 | | matches | | 0 | "It thudded beneath her shirt," | | 1 | "She stopped beside the last" | | 2 | "Their tall outline gathered itself" | | 3 | "Her stomach clenched despite the" | | 4 | "Its leaf-shaped edge caught the" | | 5 | "Her fingers passed through the" | | 6 | "Her body bent with the" | | 7 | "She ignored the hand and" | | 8 | "It pressed against her teeth," | | 9 | "Her mother’s hands combing knots" | | 10 | "She braced one hand on" | | 11 | "It lay cracked in uneven" | | 12 | "Its outline had wings, though" | | 13 | "Their oaken faces had become" | | 14 | "Its roof spread in layered" | | 15 | "It carried laughter from the" | | 16 | "They followed a narrow road" | | 17 | "Their undersides had fine dark" | | 18 | "it mimicked from somewhere among" | | 19 | "She lifted the Fae blade." |
| | ratio | 0.211 | |
| 41.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 123 | | totalSentences | 147 | | matches | | 0 | "The Heartstone woke against Aurora’s" | | 1 | "It thudded beneath her shirt," | | 2 | "Warmth soaked through the fabric." | | 3 | "She stopped beside the last" | | 4 | "Nyx flowed out of the" | | 5 | "Their tall outline gathered itself" | | 6 | "Isolde stood between two standing" | | 7 | "The ancient oak blocks rose" | | 8 | "Aurora watched the space bend." | | 9 | "Colours leaked from it: amber," | | 10 | "The scent followed, rich enough" | | 11 | "Her stomach clenched despite the" | | 12 | "Isolde did not look back." | | 13 | "Aurora drew the Fae-forged blade." | | 14 | "The moonsilver dagger chilled her" | | 15 | "Its leaf-shaped edge caught the" | | 16 | "A thin blue gleam ran" | | 17 | "Nyx tilted their head towards" | | 18 | "Aurora checked the strap of" | | 19 | "Yu-Fei had cursed the thieves," |
| | ratio | 0.837 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 147 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 3 | | matches | | 0 | "Their tall outline gathered itself beside her, violet eyes hovering in a face that kept refusing shape." | | 1 | "Inside lay a torch, a first-aid kit, two bottles of water, a folding knife, a bag of salt, and the restaurant invoice that had brought them here." | | 2 | "Their undersides had fine dark veins that flexed when she passed." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 20.37% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 7 | | fancyTags | | 0 | "they whispered (whisper)" | | 1 | "Aurora muttered (mutter)" | | 2 | "she murmured (murmur)" | | 3 | "Nyx whispered (whisper)" | | 4 | "Nyx whispered (whisper)" | | 5 | "they whispered (whisper)" | | 6 | "Aurora breathed (breathe)" |
| | dialogueSentences | 54 | | tagDensity | 0.278 | | leniency | 0.556 | | rawRatio | 0.467 | | effectiveRatio | 0.259 | |