| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 46 | | tagDensity | 0.348 | | leniency | 0.696 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.56% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2045 | | 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) | |
| 73.11% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2045 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "pulsed" | | 1 | "traced" | | 2 | "chilled" | | 3 | "silk" | | 4 | "warmth" | | 5 | "stomach" | | 6 | "comforting" | | 7 | "perfect" | | 8 | "mosaic" | | 9 | "weight" |
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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 | 185 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 185 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 216 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2045 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 57.08% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 84 | | wordCount | 1722 | | uniqueNames | 19 | | maxNameDensity | 1.86 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 1 | | Aurora | 32 | | Isolde | 13 | | Richmond | 1 | | Nyx | 18 | | Golden | 1 | | Empress | 1 | | Yu-Fei | 1 | | Cardiff | 1 | | Soho | 2 | | Thousands | 2 | | Mara | 2 | | Venn | 1 | | Whitechapel | 1 | | Prince | 1 | | Dymas | 1 | | Fae | 1 | | French | 1 | | Coming | 3 |
| | persons | | 0 | "Heartstone" | | 1 | "Aurora" | | 2 | "Isolde" | | 3 | "Nyx" | | 4 | "Empress" | | 5 | "Yu-Fei" | | 6 | "Mara" | | 7 | "Venn" |
| | places | | 0 | "Richmond" | | 1 | "Golden" | | 2 | "Cardiff" | | 3 | "Soho" | | 4 | "Prince" | | 5 | "Dymas" | | 6 | "French" |
| | globalScore | 0.571 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 131 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.489 | | wordCount | 2045 | | matches | | 0 | "Not the ringing of the other pods, but actual rain: a soft roar on leaves, a harder patter on a sla" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 216 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 109 | | mean | 18.76 | | std | 16.87 | | cv | 0.899 | | sampleLengths | | 0 | 32 | | 1 | 62 | | 2 | 7 | | 3 | 9 | | 4 | 10 | | 5 | 27 | | 6 | 13 | | 7 | 27 | | 8 | 33 | | 9 | 5 | | 10 | 37 | | 11 | 10 | | 12 | 37 | | 13 | 74 | | 14 | 18 | | 15 | 3 | | 16 | 17 | | 17 | 7 | | 18 | 1 | | 19 | 8 | | 20 | 34 | | 21 | 5 | | 22 | 16 | | 23 | 25 | | 24 | 71 | | 25 | 10 | | 26 | 15 | | 27 | 39 | | 28 | 3 | | 29 | 23 | | 30 | 6 | | 31 | 1 | | 32 | 4 | | 33 | 8 | | 34 | 13 | | 35 | 14 | | 36 | 11 | | 37 | 2 | | 38 | 5 | | 39 | 1 | | 40 | 6 | | 41 | 37 | | 42 | 8 | | 43 | 9 | | 44 | 62 | | 45 | 22 | | 46 | 11 | | 47 | 19 | | 48 | 55 | | 49 | 12 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 185 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 282 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 216 | | ratio | 0.005 | | matches | | 0 | "Some branches carried blue pears with skins fine enough to show the pale threads inside; others bent under bunches of crimson fruit that gave off their own light." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1005 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.01890547263681592 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.001990049751243781 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 216 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 216 | | mean | 9.47 | | std | 5.47 | | cv | 0.577 | | sampleLengths | | 0 | 17 | | 1 | 15 | | 2 | 11 | | 3 | 15 | | 4 | 15 | | 5 | 21 | | 6 | 7 | | 7 | 9 | | 8 | 10 | | 9 | 15 | | 10 | 7 | | 11 | 5 | | 12 | 13 | | 13 | 4 | | 14 | 14 | | 15 | 9 | | 16 | 4 | | 17 | 9 | | 18 | 7 | | 19 | 13 | | 20 | 5 | | 21 | 12 | | 22 | 8 | | 23 | 17 | | 24 | 10 | | 25 | 6 | | 26 | 11 | | 27 | 11 | | 28 | 9 | | 29 | 9 | | 30 | 20 | | 31 | 8 | | 32 | 9 | | 33 | 15 | | 34 | 13 | | 35 | 18 | | 36 | 3 | | 37 | 7 | | 38 | 10 | | 39 | 7 | | 40 | 1 | | 41 | 8 | | 42 | 4 | | 43 | 12 | | 44 | 18 | | 45 | 5 | | 46 | 6 | | 47 | 10 | | 48 | 6 | | 49 | 10 |
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| 66.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4166666666666667 | | totalSentences | 216 | | uniqueOpeners | 90 | |
| 80.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 166 | | matches | | 0 | "Then resistance dragged at the" | | 1 | "Somewhere far beyond the arch," | | 2 | "Then the scent changed." | | 3 | "Then the bell struck again." |
| | ratio | 0.024 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 166 | | matches | | 0 | "Its stones leaned together without" | | 1 | "They traced the air with" | | 2 | "She set its point where" | | 3 | "It smelled of crushed herbs," | | 4 | "Its light came from everywhere" | | 5 | "Her lavender eyes moved across" | | 6 | "They pressed their long hands" | | 7 | "Its fruit smelled of oranges." | | 8 | "Her stomach clenched." | | 9 | "She leaned closer." | | 10 | "They all listened until the" | | 11 | "It carried none of the" | | 12 | "She stood and followed it" | | 13 | "They hung in bundles like" | | 14 | "Her linen sleeves passed through" | | 15 | "Their violet eyes had dimmed" | | 16 | "She eased her grip." | | 17 | "Its branches supported no ordinary" | | 18 | "Her silver hair pooled around" | | 19 | "She leaned towards the orchard." |
| | ratio | 0.139 | |
| 80.48% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 126 | | totalSentences | 166 | | matches | | 0 | "The Heartstone had turned warm" | | 1 | "The arch had not been" | | 2 | "Its stones leaned together without" | | 3 | "Nyx rose beside the arch," | | 4 | "They traced the air with" | | 5 | "Something wrinkled around the touch." | | 6 | "Aurora drew Isolde’s gift." | | 7 | "The moonsilver dagger chilled her" | | 8 | "She set its point where" | | 9 | "Aurora changed her angle and" | | 10 | "The dagger parted the unseen" | | 11 | "It smelled of crushed herbs," | | 12 | "A gong rolled through their" | | 13 | "Aurora tightened her grip on" | | 14 | "The warmth settled over her" | | 15 | "Its light came from everywhere" | | 16 | "The arch stood on a" | | 17 | "Roots thick as towers gripped" | | 18 | "Vines spilled from empty windows," | | 19 | "Rivers threaded between them, reflecting" |
| | ratio | 0.759 | |
| 30.12% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 166 | | matches | | 0 | "Now it pulsed against her" |
| | ratio | 0.006 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 76 | | technicalSentenceCount | 3 | | matches | | 0 | "The peppery steam that rolled through Golden Empress’s kitchen whenever Yu-Fei lifted a stockpot lid." | | 1 | "A boy hurried through Nyx carrying a covered tureen, his lips shaping the same word over and over." | | 2 | "The next held specimens labelled in scripts that rearranged themselves whenever Aurora looked away." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 84.78% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 3 | | fancyTags | | 0 | "Nyx whispered (whisper)" | | 1 | "Nyx whispered (whisper)" | | 2 | "they whispered (whisper)" |
| | dialogueSentences | 46 | | tagDensity | 0.283 | | leniency | 0.565 | | rawRatio | 0.231 | | effectiveRatio | 0.13 | |