| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "Isolde stepped around [around]" |
| | dialogueSentences | 35 | | tagDensity | 0.343 | | leniency | 0.686 | | rawRatio | 0.083 | | effectiveRatio | 0.057 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1452 | | 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) | |
| 86.23% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1452 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "stomach" | | 1 | "pulse" | | 2 | "crystal" | | 3 | "marble" |
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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 | 143 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 143 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 166 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1452 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 1284 | | uniqueNames | 11 | | maxNameDensity | 1.79 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Aurora" | | discoveredNames | | Park | 1 | | London | 1 | | Heartstone | 2 | | Pendant | 1 | | Aurora | 23 | | Fae-forged | 1 | | Varga | 1 | | Isolde | 9 | | English | 1 | | Nyx | 9 | | Fae | 2 |
| | persons | | 0 | "Pendant" | | 1 | "Aurora" | | 2 | "Varga" | | 3 | "Isolde" | | 4 | "Nyx" |
| | places | | 0 | "Park" | | 1 | "London" | | 2 | "Heartstone" | | 3 | "English" |
| | globalScore | 0.604 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 99 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1452 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 166 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 93 | | mean | 15.61 | | std | 15.87 | | cv | 1.016 | | sampleLengths | | 0 | 11 | | 1 | 8 | | 2 | 45 | | 3 | 7 | | 4 | 1 | | 5 | 1 | | 6 | 13 | | 7 | 47 | | 8 | 23 | | 9 | 3 | | 10 | 47 | | 11 | 51 | | 12 | 6 | | 13 | 39 | | 14 | 23 | | 15 | 50 | | 16 | 3 | | 17 | 7 | | 18 | 43 | | 19 | 2 | | 20 | 5 | | 21 | 31 | | 22 | 3 | | 23 | 3 | | 24 | 35 | | 25 | 9 | | 26 | 11 | | 27 | 5 | | 28 | 17 | | 29 | 7 | | 30 | 3 | | 31 | 26 | | 32 | 4 | | 33 | 3 | | 34 | 2 | | 35 | 39 | | 36 | 46 | | 37 | 28 | | 38 | 6 | | 39 | 3 | | 40 | 2 | | 41 | 3 | | 42 | 9 | | 43 | 2 | | 44 | 16 | | 45 | 5 | | 46 | 12 | | 47 | 9 | | 48 | 3 | | 49 | 40 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 143 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 214 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 166 | | ratio | 0.006 | | matches | | 0 | "Trees grew in impossible shapes: some bore clusters of figs large as lanterns; others carried silver pears that reflected the land in warped miniature." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1295 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.023938223938223938 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 166 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 166 | | mean | 8.75 | | std | 5.27 | | cv | 0.603 | | sampleLengths | | 0 | 11 | | 1 | 4 | | 2 | 4 | | 3 | 3 | | 4 | 8 | | 5 | 18 | | 6 | 16 | | 7 | 7 | | 8 | 1 | | 9 | 1 | | 10 | 13 | | 11 | 19 | | 12 | 13 | | 13 | 15 | | 14 | 9 | | 15 | 10 | | 16 | 4 | | 17 | 3 | | 18 | 11 | | 19 | 10 | | 20 | 16 | | 21 | 10 | | 22 | 11 | | 23 | 24 | | 24 | 16 | | 25 | 6 | | 26 | 17 | | 27 | 4 | | 28 | 18 | | 29 | 5 | | 30 | 9 | | 31 | 9 | | 32 | 9 | | 33 | 11 | | 34 | 30 | | 35 | 3 | | 36 | 7 | | 37 | 7 | | 38 | 10 | | 39 | 6 | | 40 | 20 | | 41 | 2 | | 42 | 5 | | 43 | 16 | | 44 | 8 | | 45 | 7 | | 46 | 3 | | 47 | 3 | | 48 | 20 | | 49 | 11 |
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| 71.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4457831325301205 | | totalSentences | 166 | | uniqueOpeners | 74 | |
| 78.74% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 127 | | matches | | 0 | "Further on, a field of" | | 1 | "Then one flower spoke in" | | 2 | "Then a movement caught her" |
| | ratio | 0.024 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 127 | | matches | | 0 | "Their shoulders shifted as if" | | 1 | "Their voice reached her from" | | 2 | "It had no paving stones," | | 3 | "They pressed under her soles" | | 4 | "Its towers resembled stacked goblets," | | 5 | "Her silver hair floated around" | | 6 | "She wore a moss-green coat" | | 7 | "It struck the earth with" | | 8 | "Its glow leaked through her" | | 9 | "They sang in overlapping notes." | | 10 | "Their petals opened and closed" | | 11 | "They had the bodies of" | | 12 | "Their wings beat with the" | | 13 | "They circled once, then streamed" | | 14 | "It shouted at a cluster" | | 15 | "Their faces shifted every time" | | 16 | "It was beautiful." | | 17 | "She held it between two" | | 18 | "Their violet eyes tracked the" | | 19 | "She dropped it." |
| | ratio | 0.181 | |
| 42.68% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 106 | | totalSentences | 127 | | matches | | 0 | "The last oak standing stone" | | 1 | "Aurora turned at once." | | 2 | "Richmond Park had vanished." | | 3 | "A wall of vine-covered basalt" | | 4 | "The air carried heat, sugar," | | 5 | "The Heartstone Pendant thudded against" | | 6 | "Nyx stood to her left," | | 7 | "Violet eyes hovered in the" | | 8 | "Their shoulders shifted as if" | | 9 | "Their voice reached her from" | | 10 | "Aurora faced forward." | | 11 | "A road lay before them," | | 12 | "It had no paving stones," | | 13 | "They pressed under her soles" | | 14 | "Trees grew in impossible shapes:" | | 15 | "Grapevines crawled over enormous ivory" | | 16 | "Its towers resembled stacked goblets," | | 17 | "Steam rose from windows." | | 18 | "Brass bells rang from somewhere" | | 19 | "Aurora drew the Fae-forged blade." |
| | ratio | 0.835 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 127 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 61 | | technicalSentenceCount | 2 | | matches | | 0 | "Their shoulders shifted as if a wind moved through them, though nothing stirred Aurora’s hair." | | 1 | "Trees grew in impossible shapes: some bore clusters of figs large as lanterns; others carried silver pears that reflected the land in warped miniature." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 6 | | fancyTags | | 0 | "Nyx murmured (murmur)" | | 1 | "Isolde breathed (breathe)" | | 2 | "they whispered (whisper)" | | 3 | "Nyx warned (warn)" | | 4 | "it sighed (sigh)" | | 5 | "they urged (urge)" |
| | dialogueSentences | 35 | | tagDensity | 0.257 | | leniency | 0.514 | | rawRatio | 0.667 | | effectiveRatio | 0.343 | |