| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1095 | | 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) | |
| 72.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1095 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "chill" | | 1 | "weight" | | 2 | "raced" | | 3 | "pulse" | | 4 | "measured" |
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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 | 100 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 100 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 116 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1095 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 63.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 977 | | uniqueNames | 14 | | maxNameDensity | 1.74 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Heartstone | 1 | | Pendant | 1 | | Rory | 17 | | Nyx | 7 | | Isolde | 5 | | Fae-Forged | 2 | | Blade | 2 | | Eva | 2 | | Half-Fae | 1 | | Fae | 4 | | Brendan | 1 | | Jennifer | 1 |
| | persons | | 0 | "Rory" | | 1 | "Nyx" | | 2 | "Isolde" | | 3 | "Eva" | | 4 | "Half-Fae" | | 5 | "Fae" | | 6 | "Brendan" | | 7 | "Jennifer" |
| | places | | | globalScore | 0.63 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like wind through a keyhole" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1095 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 116 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 22.35 | | std | 16.24 | | cv | 0.727 | | sampleLengths | | 0 | 32 | | 1 | 29 | | 2 | 8 | | 3 | 43 | | 4 | 6 | | 5 | 55 | | 6 | 29 | | 7 | 6 | | 8 | 8 | | 9 | 33 | | 10 | 5 | | 11 | 31 | | 12 | 38 | | 13 | 10 | | 14 | 38 | | 15 | 4 | | 16 | 12 | | 17 | 49 | | 18 | 70 | | 19 | 24 | | 20 | 5 | | 21 | 6 | | 22 | 6 | | 23 | 35 | | 24 | 37 | | 25 | 28 | | 26 | 4 | | 27 | 11 | | 28 | 8 | | 29 | 39 | | 30 | 30 | | 31 | 16 | | 32 | 4 | | 33 | 3 | | 34 | 18 | | 35 | 21 | | 36 | 43 | | 37 | 24 | | 38 | 1 | | 39 | 30 | | 40 | 2 | | 41 | 8 | | 42 | 19 | | 43 | 13 | | 44 | 40 | | 45 | 21 | | 46 | 36 | | 47 | 44 | | 48 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 159 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 116 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 984 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 18 | | adverbRatio | 0.018292682926829267 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 116 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 116 | | mean | 9.44 | | std | 6.03 | | cv | 0.639 | | sampleLengths | | 0 | 12 | | 1 | 7 | | 2 | 13 | | 3 | 13 | | 4 | 10 | | 5 | 6 | | 6 | 8 | | 7 | 11 | | 8 | 8 | | 9 | 17 | | 10 | 7 | | 11 | 6 | | 12 | 4 | | 13 | 8 | | 14 | 3 | | 15 | 18 | | 16 | 22 | | 17 | 3 | | 18 | 11 | | 19 | 2 | | 20 | 3 | | 21 | 10 | | 22 | 6 | | 23 | 8 | | 24 | 19 | | 25 | 14 | | 26 | 5 | | 27 | 18 | | 28 | 13 | | 29 | 4 | | 30 | 4 | | 31 | 11 | | 32 | 19 | | 33 | 10 | | 34 | 6 | | 35 | 9 | | 36 | 12 | | 37 | 11 | | 38 | 4 | | 39 | 12 | | 40 | 7 | | 41 | 30 | | 42 | 1 | | 43 | 1 | | 44 | 10 | | 45 | 3 | | 46 | 10 | | 47 | 8 | | 48 | 23 | | 49 | 5 |
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| 66.09% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.4482758620689655 | | totalSentences | 116 | | uniqueOpeners | 52 | |
| 36.23% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 92 | | matches | | 0 | "Bright blue eyes stared up." |
| | ratio | 0.011 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 92 | | matches | | 0 | "Its crimson heat tapped against" | | 1 | "Her silver hair brushed bark," | | 2 | "Her boot struck a root," | | 3 | "She looked back." | | 4 | "Their shoulders stretched above the" | | 5 | "Her small crescent-shaped scar burned" | | 6 | "Their petals opened and shut" | | 7 | "Her reflection knelt a breath" | | 8 | "His hands pressed against the" | | 9 | "His mouth opened." | | 10 | "She stood on legs that" | | 11 | "Her own voice called from" | | 12 | "It used the clipped tone" | | 13 | "Her teeth ached with her" | | 14 | "She pulled the Fae-Forged Blade" |
| | ratio | 0.163 | |
| 41.52% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 77 | | totalSentences | 92 | | matches | | 0 | "The stones stood between the" | | 1 | "Moss filled the cuts in" | | 2 | "Roots pushed through their bases" | | 3 | "Rory stopped before the gap" | | 4 | "Its crimson heat tapped against" | | 5 | "Isolde stepped through the gap" | | 6 | "Her silver hair brushed bark," | | 7 | "The wet ground behind her" | | 8 | "Rory lifted her foot and" | | 9 | "The air tasted of honey," | | 10 | "Sound arrived late." | | 11 | "Her boot struck a root," | | 12 | "The Fae-Forged Blade at her" | | 13 | "She looked back." | | 14 | "Richmond Park had shrunk into" | | 15 | "A distant gate." | | 16 | "A dog barking with its" | | 17 | "Nyx slid through beside her," | | 18 | "Their shoulders stretched above the" | | 19 | "Nyx pulled free with a" |
| | ratio | 0.837 | |
| 54.35% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 92 | | matches | | | ratio | 0.011 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 2 | | matches | | 0 | "The flowers bent toward other things then: a beetle with wings like stained glass, a snail shell big as her fist, a feather that changed colour each time it mov…" | | 1 | "Black hair hung around a face that wore her skin and none of her expression." |
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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 | |