| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 58 | | tagDensity | 0.172 | | leniency | 0.345 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1934 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "suddenly" | | 1 | "sharply" | | 2 | "tightly" |
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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) | |
| 79.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1934 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "throbbed" | | 1 | "pulse" | | 2 | "perfect" | | 3 | "flicked" | | 4 | "warmth" | | 5 | "porcelain" | | 6 | "crystal" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 173 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 173 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 221 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1933 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 55.26% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 70 | | wordCount | 1636 | | uniqueNames | 12 | | maxNameDensity | 1.89 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | London | 1 | | Heartstone | 1 | | Ahead | 1 | | Rory | 31 | | Isolde | 18 | | Veil | 1 | | Fae | 2 | | Fae-forged | 1 | | Seer | 1 | | Nyx | 11 |
| | persons | | 0 | "Ahead" | | 1 | "Rory" | | 2 | "Isolde" | | 3 | "Seer" | | 4 | "Nyx" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" |
| | globalScore | 0.553 | | windowScore | 0.667 | |
| 59.91% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 111 | | glossingSentenceCount | 4 | | matches | | 0 | "as if naming it too clearly might put cracks in it" | | 1 | "not quite a smile" | | 2 | "sounded like cutlery laid on porcelain, ne" | | 3 | "seemed worn by centuries of hands, and yet the edges still held delicate patterns: leaves, antlers, eyes, waves, all worked into one another until they became impossible to separate" |
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| 96.53% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.035 | | wordCount | 1933 | | matches | | 0 | "not bright enough to cast light, but alive enough to make the silver chain tremble against her fi" | | 1 | "not the shifting sky above but a black field crowded with stars" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 221 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 128 | | mean | 15.1 | | std | 20.15 | | cv | 1.335 | | sampleLengths | | 0 | 13 | | 1 | 55 | | 2 | 9 | | 3 | 6 | | 4 | 38 | | 5 | 3 | | 6 | 33 | | 7 | 2 | | 8 | 3 | | 9 | 6 | | 10 | 58 | | 11 | 38 | | 12 | 6 | | 13 | 9 | | 14 | 6 | | 15 | 40 | | 16 | 13 | | 17 | 6 | | 18 | 6 | | 19 | 3 | | 20 | 7 | | 21 | 16 | | 22 | 12 | | 23 | 7 | | 24 | 18 | | 25 | 52 | | 26 | 4 | | 27 | 5 | | 28 | 12 | | 29 | 100 | | 30 | 6 | | 31 | 4 | | 32 | 3 | | 33 | 10 | | 34 | 22 | | 35 | 26 | | 36 | 57 | | 37 | 4 | | 38 | 4 | | 39 | 10 | | 40 | 11 | | 41 | 8 | | 42 | 6 | | 43 | 7 | | 44 | 70 | | 45 | 4 | | 46 | 4 | | 47 | 16 | | 48 | 7 | | 49 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 173 | | 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 | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 221 | | ratio | 0.005 | | matches | | 0 | "The air carried too many scents for one place—honey, rain on stone, crushed mint, smoke, apples split with a knife." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1643 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 54 | | adverbRatio | 0.032866707242848445 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.004869141813755326 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 221 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 221 | | mean | 8.75 | | std | 6.48 | | cv | 0.741 | | sampleLengths | | 0 | 13 | | 1 | 26 | | 2 | 6 | | 3 | 9 | | 4 | 14 | | 5 | 9 | | 6 | 1 | | 7 | 1 | | 8 | 4 | | 9 | 4 | | 10 | 27 | | 11 | 7 | | 12 | 3 | | 13 | 8 | | 14 | 25 | | 15 | 2 | | 16 | 3 | | 17 | 3 | | 18 | 3 | | 19 | 12 | | 20 | 3 | | 21 | 2 | | 22 | 23 | | 23 | 9 | | 24 | 9 | | 25 | 19 | | 26 | 7 | | 27 | 12 | | 28 | 6 | | 29 | 9 | | 30 | 6 | | 31 | 5 | | 32 | 8 | | 33 | 6 | | 34 | 21 | | 35 | 13 | | 36 | 6 | | 37 | 6 | | 38 | 3 | | 39 | 7 | | 40 | 16 | | 41 | 7 | | 42 | 5 | | 43 | 7 | | 44 | 18 | | 45 | 3 | | 46 | 3 | | 47 | 14 | | 48 | 9 | | 49 | 2 |
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| 55.66% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.3665158371040724 | | totalSentences | 221 | | uniqueOpeners | 81 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 151 | | matches | | 0 | "Then her Heartstone pendant throbbed" | | 1 | "Then the ground steadied." | | 2 | "Somewhere above them, water ran" | | 3 | "Once Rory heard laughter, light" | | 4 | "Just blue suspended through the" | | 5 | "Somewhere beneath the roots, many" |
| | ratio | 0.04 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 151 | | matches | | 0 | "Their violet eyes glimmered under" | | 1 | "They had no business standing" | | 2 | "Her dress caught the wind" | | 3 | "She sucked in a breath." | | 4 | "It shifted in slow currents" | | 5 | "Their outline sharpened." | | 6 | "Their shoulders settled." | | 7 | "They rested a hand against" | | 8 | "She reached towards it." | | 9 | "It had six delicate legs" | | 10 | "It lowered its head, tore" | | 11 | "They followed her along a" | | 12 | "They were warm through the" | | 13 | "Its surface reflected not the" | | 14 | "She could see her own" | | 15 | "They moved on." | | 16 | "She spun towards it and" | | 17 | "Their head turned sharply." | | 18 | "Their eyes fixed on a" | | 19 | "Her bare feet hovered a" |
| | ratio | 0.132 | |
| 42.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 126 | | totalSentences | 151 | | matches | | 0 | "The last stretch of Richmond" | | 1 | "Rory stood with her hands" | | 2 | "Dog walkers moved in the" | | 3 | "A cyclist rattled past on" | | 4 | "The sky hung low and" | | 5 | "Nyx lifted their head." | | 6 | "Their violet eyes glimmered under" | | 7 | "Rory drew the pendant free" | | 8 | "The deep crimson stone glowed" | | 9 | "Each one wider than Rory’s" | | 10 | "They had no business standing" | | 11 | "Isolde waited between two of" | | 12 | "Her dress caught the wind" | | 13 | "Grass bent under Rory’s boots," | | 14 | "Rory snorted and stepped closer." | | 15 | "The air changed before she" | | 16 | "The smell of wet soil" | | 17 | "Birdsong from the park thinned" | | 18 | "Nyx stopped at the edge" | | 19 | "Isolde’s lavender eyes flicked to" |
| | ratio | 0.834 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 151 | | matches | (empty) | | ratio | 0 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 64 | | technicalSentenceCount | 4 | | matches | | 0 | "Rory stood with her hands buried in the pockets of her jacket and stared through a stand of old oaks that leaned over the frost-bitten grass." | | 1 | "Branches rose around them in impossible heights, the trees white-barked and smooth, their leaves made of thin translucent blades that chimed when the breeze tou…" | | 2 | "Wildflowers spilled across the ground in every season at once: foxgloves beside crocuses, bluebells under roses, star-shaped white flowers that opened and shut …" | | 3 | "Mushroom caps the size of umbrellas clustered at its base, breathing out gold spores that hung in the air like dust in cathedral light." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 2 | | fancyTags | | 0 | "Nyx murmured (murmur)" | | 1 | "she murmured (murmur)" |
| | dialogueSentences | 58 | | tagDensity | 0.155 | | leniency | 0.31 | | rawRatio | 0.222 | | effectiveRatio | 0.069 | |