| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 82 | | tagDensity | 0.146 | | leniency | 0.293 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 98.08% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2602 | | 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) | |
| 76.94% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2602 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "raced" | | 3 | "stomach" | | 4 | "pulse" | | 5 | "silk" | | 6 | "structure" | | 7 | "flickered" | | 8 | "trembled" | | 9 | "porcelain" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 279 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 279 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 349 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2601 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 105 | | wordCount | 2178 | | uniqueNames | 21 | | maxNameDensity | 1.93 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Nyx | 16 | | Aurora | 42 | | Heartstone | 5 | | Isolde | 16 | | Varga | 1 | | Fae-forged | 1 | | Moonsilver | 2 | | Dymas | 1 | | Half-Fae | 1 | | Orchard | 1 | | Borrowed | 1 | | Tongues | 1 | | Shade | 1 | | Fae | 3 | | Yu-Fei | 1 | | Golden | 2 | | Empress | 1 | | Silver | 3 | | One | 4 |
| | persons | | 0 | "Nyx" | | 1 | "Aurora" | | 2 | "Heartstone" | | 3 | "Isolde" | | 4 | "Varga" | | 5 | "Moonsilver" | | 6 | "Yu-Fei" | | 7 | "One" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Shade" | | 3 | "Golden" |
| | globalScore | 0.536 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 181 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.384 | | wordCount | 2601 | | matches | | 0 | "not her face but a vaulted chamber lit by chandeliers" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 349 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 223 | | mean | 11.66 | | std | 12.85 | | cv | 1.102 | | sampleLengths | | 0 | 15 | | 1 | 56 | | 2 | 31 | | 3 | 10 | | 4 | 4 | | 5 | 16 | | 6 | 31 | | 7 | 7 | | 8 | 34 | | 9 | 13 | | 10 | 35 | | 11 | 6 | | 12 | 9 | | 13 | 4 | | 14 | 8 | | 15 | 5 | | 16 | 4 | | 17 | 4 | | 18 | 3 | | 19 | 48 | | 20 | 20 | | 21 | 3 | | 22 | 19 | | 23 | 1 | | 24 | 4 | | 25 | 5 | | 26 | 9 | | 27 | 3 | | 28 | 17 | | 29 | 2 | | 30 | 1 | | 31 | 15 | | 32 | 6 | | 33 | 1 | | 34 | 1 | | 35 | 3 | | 36 | 35 | | 37 | 4 | | 38 | 5 | | 39 | 20 | | 40 | 12 | | 41 | 25 | | 42 | 13 | | 43 | 12 | | 44 | 3 | | 45 | 4 | | 46 | 1 | | 47 | 6 | | 48 | 59 | | 49 | 12 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 279 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 365 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 349 | | ratio | 0.006 | | matches | | 0 | "Fruit hung overhead in improbable abundance: pears with opalescent skins; spiralled melons that clicked against one another; crimson pods covered in fine white hair." | | 1 | "A scent reached Aurora—applewood smoke, wine and something sweet enough to make her tongue ache." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 2186 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 45 | | adverbRatio | 0.02058554437328454 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0013723696248856359 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 349 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 349 | | mean | 7.45 | | std | 4.52 | | cv | 0.606 | | sampleLengths | | 0 | 15 | | 1 | 17 | | 2 | 27 | | 3 | 6 | | 4 | 4 | | 5 | 2 | | 6 | 11 | | 7 | 20 | | 8 | 10 | | 9 | 4 | | 10 | 16 | | 11 | 11 | | 12 | 12 | | 13 | 8 | | 14 | 7 | | 15 | 13 | | 16 | 11 | | 17 | 10 | | 18 | 7 | | 19 | 6 | | 20 | 14 | | 21 | 12 | | 22 | 5 | | 23 | 4 | | 24 | 6 | | 25 | 9 | | 26 | 4 | | 27 | 8 | | 28 | 5 | | 29 | 4 | | 30 | 4 | | 31 | 3 | | 32 | 19 | | 33 | 7 | | 34 | 2 | | 35 | 2 | | 36 | 18 | | 37 | 6 | | 38 | 6 | | 39 | 8 | | 40 | 3 | | 41 | 7 | | 42 | 12 | | 43 | 1 | | 44 | 4 | | 45 | 5 | | 46 | 9 | | 47 | 3 | | 48 | 17 | | 49 | 2 |
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| 55.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.36103151862464183 | | totalSentences | 349 | | uniqueOpeners | 126 | |
| 53.12% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 251 | | matches | | 0 | "Somewhere beyond it, bells chimed" | | 1 | "Then the visions tore loose" | | 2 | "Only the amber sky remained" | | 3 | "Everywhere it passed, paths shifted." |
| | ratio | 0.016 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 251 | | matches | | 0 | "They did not glow." | | 1 | "Their shoulders gathered first, then" | | 2 | "their voice brushed through the" | | 3 | "Its crimson centre beat once" | | 4 | "Her bare feet touched the" | | 5 | "It reached the oak ring" | | 6 | "Their edges feathered towards the" | | 7 | "It rolled across Aurora’s face" | | 8 | "Her boots touched black soil" | | 9 | "Her mother’s hands pressed flour" | | 10 | "She staggered one step." | | 11 | "Their slow folds resembled fat" | | 12 | "It grew from the dark" | | 13 | "They flew in tight formation" | | 14 | "They moved along the path." | | 15 | "Their fingers felt dense and" | | 16 | "Her teeth filled the water." | | 17 | "She pulled it from beneath" | | 18 | "They reached a fork where" | | 19 | "Its warmth strengthened towards the" |
| | ratio | 0.131 | |
| 59.60% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 201 | | totalSentences | 251 | | matches | | 0 | "The ancient oaks stood in" | | 1 | "Aurora stopped beneath Richmond Park’s" | | 2 | "Each had twisted into the" | | 3 | "They did not glow." | | 4 | "Their shoulders gathered first, then" | | 5 | "their voice brushed through the" | | 6 | "Aurora hooked two fingers beneath" | | 7 | "The Heartstone rested against her" | | 8 | "Its crimson centre beat once" | | 9 | "A third figure moved between" | | 10 | "Her bare feet touched the" | | 11 | "Aurora drew the Fae-forged blade" | | 12 | "Moonsilver caught the grey daylight" | | 13 | "Isolde looked towards the oak" | | 14 | "Aurora shot them a look." | | 15 | "A breeze pushed through the" | | 16 | "It reached the oak ring" | | 17 | "Aurora crouched beside the nearest" | | 18 | "A slit ran down its" | | 19 | "Nyx bent close without touching" |
| | ratio | 0.801 | |
| 59.76% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 251 | | matches | | 0 | "As if summoned by the" | | 1 | "To the right of the" | | 2 | "Now it stood." |
| | ratio | 0.012 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 81 | | technicalSentenceCount | 3 | | matches | | 0 | "Somewhere beyond it, bells chimed in a scale that descended past hearing." | | 1 | "It grew from the dark soil beside her foot, opening and closing with each breath she took." | | 2 | "Fruit hung overhead in improbable abundance: pears with opalescent skins; spiralled melons that clicked against one another; crimson pods covered in fine white …" |
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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 | 6 | | fancyCount | 4 | | fancyTags | | 0 | "Isolde murmured (murmur)" | | 1 | "Nyx whispered (whisper)" | | 2 | "she whispered (whisper)" | | 3 | "Isolde murmured (murmur)" |
| | dialogueSentences | 82 | | tagDensity | 0.073 | | leniency | 0.146 | | rawRatio | 0.667 | | effectiveRatio | 0.098 | |