| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 56 | | tagDensity | 0.214 | | leniency | 0.429 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.20% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1787 | | 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) | |
| 69.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1787 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "weight" | | 1 | "stomach" | | 2 | "pulse" | | 3 | "warmth" | | 4 | "absolutely" | | 5 | "echo" | | 6 | "comforting" | | 7 | "porcelain" | | 8 | "marble" | | 9 | "pulsed" |
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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 | 0 | | narrationSentences | 155 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 155 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 199 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1787 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 55.08% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 62 | | wordCount | 1475 | | uniqueNames | 11 | | maxNameDensity | 1.9 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 4 | | Aurora | 28 | | Richmond | 2 | | Park | 2 | | Ahead | 1 | | Varga | 1 | | Fae-forged | 1 | | Isolde | 9 | | Belphegor | 1 | | Dymas | 1 | | Nyx | 12 |
| | persons | | 0 | "Heartstone" | | 1 | "Aurora" | | 2 | "Varga" | | 3 | "Isolde" | | 4 | "Belphegor" | | 5 | "Nyx" |
| | places | | | globalScore | 0.551 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 108 | | 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 | 1787 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 199 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 121 | | mean | 14.77 | | std | 16.61 | | cv | 1.125 | | sampleLengths | | 0 | 6 | | 1 | 54 | | 2 | 38 | | 3 | 7 | | 4 | 45 | | 5 | 4 | | 6 | 7 | | 7 | 70 | | 8 | 31 | | 9 | 8 | | 10 | 22 | | 11 | 2 | | 12 | 10 | | 13 | 4 | | 14 | 4 | | 15 | 24 | | 16 | 5 | | 17 | 6 | | 18 | 10 | | 19 | 21 | | 20 | 33 | | 21 | 5 | | 22 | 3 | | 23 | 11 | | 24 | 3 | | 25 | 3 | | 26 | 23 | | 27 | 31 | | 28 | 10 | | 29 | 7 | | 30 | 9 | | 31 | 1 | | 32 | 6 | | 33 | 14 | | 34 | 43 | | 35 | 26 | | 36 | 5 | | 37 | 9 | | 38 | 28 | | 39 | 4 | | 40 | 7 | | 41 | 16 | | 42 | 4 | | 43 | 9 | | 44 | 5 | | 45 | 9 | | 46 | 45 | | 47 | 7 | | 48 | 3 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 155 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 240 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 199 | | ratio | 0.005 | | matches | | 0 | "Aurora stepped back, her boot crushing no flowers; the grass beneath her had flattened into a patch of black soil." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1479 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.021636240703177823 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.001352265043948614 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 199 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 199 | | mean | 8.98 | | std | 6 | | cv | 0.669 | | sampleLengths | | 0 | 6 | | 1 | 16 | | 2 | 20 | | 3 | 18 | | 4 | 8 | | 5 | 19 | | 6 | 11 | | 7 | 7 | | 8 | 14 | | 9 | 20 | | 10 | 11 | | 11 | 4 | | 12 | 7 | | 13 | 12 | | 14 | 35 | | 15 | 23 | | 16 | 10 | | 17 | 13 | | 18 | 8 | | 19 | 8 | | 20 | 8 | | 21 | 14 | | 22 | 2 | | 23 | 10 | | 24 | 4 | | 25 | 4 | | 26 | 8 | | 27 | 10 | | 28 | 6 | | 29 | 5 | | 30 | 4 | | 31 | 2 | | 32 | 10 | | 33 | 6 | | 34 | 7 | | 35 | 8 | | 36 | 12 | | 37 | 21 | | 38 | 5 | | 39 | 3 | | 40 | 11 | | 41 | 3 | | 42 | 3 | | 43 | 6 | | 44 | 4 | | 45 | 13 | | 46 | 4 | | 47 | 18 | | 48 | 9 | | 49 | 10 |
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| 62.81% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.39195979899497485 | | totalSentences | 199 | | uniqueOpeners | 78 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 140 | | matches | | 0 | "Somewhere beyond, something gave a" | | 1 | "Then came the noise." | | 2 | "Then it lifted one hand" | | 3 | "Even the wine fountain seemed" | | 4 | "Then a woman beneath a" |
| | ratio | 0.036 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 140 | | matches | | 0 | "She caught the pendant through" | | 1 | "Their bells held beads of" | | 2 | "Their violet eyes hovered at" | | 3 | "She had seen the arch" | | 4 | "It held a road." | | 5 | "Her silver hair fell over" | | 6 | "She studied the opening with" | | 7 | "Its crimson centre flashed under" | | 8 | "It sounded close enough to" | | 9 | "Her boots left no mark" | | 10 | "She stepped through." | | 11 | "It curled around her face" | | 12 | "Its wood was painted red," | | 13 | "She reached for it." | | 14 | "Their touch carried no weight," | | 15 | "Her reflection stared back from" | | 16 | "They watched Aurora pass." | | 17 | "She crouched at one channel," | | 18 | "Their mouths opened and closed." | | 19 | "It split open at her" |
| | ratio | 0.193 | |
| 42.14% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 117 | | totalSentences | 140 | | matches | | 0 | "The Heartstone burned against Aurora’s" | | 1 | "She caught the pendant through" | | 2 | "Frost silvered the grass beyond" | | 3 | "Their bells held beads of" | | 4 | "Nyx stood where shadow pooled" | | 5 | "Their violet eyes hovered at" | | 6 | "The darkness under their feet" | | 7 | "She had seen the arch" | | 8 | "It held a road." | | 9 | "Isolde Varga crossed the grass" | | 10 | "Her silver hair fell over" | | 11 | "She studied the opening with" | | 12 | "Aurora drew the Heartstone from" | | 13 | "Its crimson centre flashed under" | | 14 | "Nyx stretched one long arm" | | 15 | "Shadow peeled from their fingertips" | | 16 | "The darkness vanished past the" | | 17 | "Aurora looked at them." | | 18 | "The vines along the arch" | | 19 | "Leaves turned their waxy undersides" |
| | ratio | 0.836 | |
| 35.71% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 140 | | matches | | 0 | "Now the space between them" |
| | ratio | 0.007 | |
| 75.89% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 64 | | technicalSentenceCount | 6 | | matches | | 0 | "Their bells held beads of rain that shone amber beneath a sky gone the colour of old honey." | | 1 | "Dense trees leaned over the path, their branches bent from the weight of enormous fruit: scarlet pears, blue pomegranates, grapes the size of fists, and pale me…" | | 2 | "Every fruit-laden branch bowed towards it as if the road carried a king." | | 3 | "Their touch carried no weight, only a sudden winter numbness that crept along her skin." | | 4 | "Tree trunks rose thick as houses, their bark plated in colours that shifted from dark green to lacquered red." | | 5 | "Some sold fruit and spices, but others offered stranger goods: jars of bottled laughter, necklaces made from fingernails, sacks that wriggled though no wind tou…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 78.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 4 | | fancyTags | | 0 | "Nyx murmured (murmur)" | | 1 | "they whispered (whisper)" | | 2 | "it squeaked (squeak)" | | 3 | "Nyx murmured (murmur)" |
| | dialogueSentences | 56 | | tagDensity | 0.214 | | leniency | 0.429 | | rawRatio | 0.333 | | effectiveRatio | 0.143 | |