| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 54 | | tagDensity | 0.204 | | leniency | 0.407 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1468 | | 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) | |
| 76.16% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1468 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "silence" | | 1 | "pulsed" | | 2 | "footsteps" | | 3 | "flicked" | | 4 | "shimmered" | | 5 | "warmth" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "hung in the air" |
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| 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 | 0 | | narrationSentences | 155 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 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 | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1465 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 60 | | wordCount | 1229 | | uniqueNames | 11 | | maxNameDensity | 2.28 | | worstName | "Aurora" | | maxWindowNameDensity | 4 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Fae-forged | 1 | | Aurora | 28 | | Heartstone | 2 | | Pendant | 1 | | Isolde | 12 | | London | 1 | | Cardiff | 1 | | Evan | 3 | | Nyx | 9 |
| | persons | | 0 | "Aurora" | | 1 | "Heartstone" | | 2 | "Pendant" | | 3 | "Isolde" | | 4 | "Evan" | | 5 | "Nyx" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Cardiff" |
| | globalScore | 0.361 | | windowScore | 0.333 | |
| 76.47% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 102 | | glossingSentenceCount | 3 | | matches | | 0 | "appeared farther away" | | 1 | "seemed narrow at first, then widened beneath arching branches whose leaves reflected scenes instead of light" | | 2 | "appeared beyond the next rise" |
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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 | 1465 | | 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 | 131 | | mean | 11.18 | | std | 12.58 | | cv | 1.125 | | sampleLengths | | 0 | 13 | | 1 | 33 | | 2 | 12 | | 3 | 5 | | 4 | 5 | | 5 | 43 | | 6 | 8 | | 7 | 11 | | 8 | 56 | | 9 | 5 | | 10 | 25 | | 11 | 7 | | 12 | 28 | | 13 | 3 | | 14 | 2 | | 15 | 22 | | 16 | 15 | | 17 | 4 | | 18 | 3 | | 19 | 7 | | 20 | 7 | | 21 | 4 | | 22 | 27 | | 23 | 4 | | 24 | 26 | | 25 | 8 | | 26 | 7 | | 27 | 4 | | 28 | 4 | | 29 | 6 | | 30 | 43 | | 31 | 4 | | 32 | 29 | | 33 | 3 | | 34 | 28 | | 35 | 7 | | 36 | 6 | | 37 | 9 | | 38 | 1 | | 39 | 3 | | 40 | 7 | | 41 | 11 | | 42 | 72 | | 43 | 2 | | 44 | 8 | | 45 | 1 | | 46 | 6 | | 47 | 6 | | 48 | 22 | | 49 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 155 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 203 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 199 | | ratio | 0.01 | | matches | | 0 | "Not emptiness—something denser." | | 1 | "Wildflowers covered the ground in every shade she knew and several she did not—blue-black bells, flowers with translucent petals, tiny red blooms that opened and closed like mouths." |
| |
| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 640 | | adjectiveStacks | 3 | | stackExamples | | 0 | "soft, pearl-coloured light." | | 1 | "cold, blue-white glow." | | 2 | "shining beneath red buses." |
| | adverbCount | 13 | | adverbRatio | 0.0203125 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0015625 | |
| 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 | 7.36 | | std | 4.37 | | cv | 0.594 | | sampleLengths | | 0 | 13 | | 1 | 14 | | 2 | 6 | | 3 | 3 | | 4 | 10 | | 5 | 12 | | 6 | 5 | | 7 | 5 | | 8 | 18 | | 9 | 8 | | 10 | 6 | | 11 | 11 | | 12 | 8 | | 13 | 11 | | 14 | 3 | | 15 | 11 | | 16 | 14 | | 17 | 28 | | 18 | 5 | | 19 | 14 | | 20 | 11 | | 21 | 7 | | 22 | 8 | | 23 | 12 | | 24 | 8 | | 25 | 3 | | 26 | 2 | | 27 | 11 | | 28 | 11 | | 29 | 7 | | 30 | 8 | | 31 | 4 | | 32 | 3 | | 33 | 7 | | 34 | 7 | | 35 | 4 | | 36 | 10 | | 37 | 5 | | 38 | 12 | | 39 | 4 | | 40 | 12 | | 41 | 9 | | 42 | 5 | | 43 | 8 | | 44 | 7 | | 45 | 4 | | 46 | 4 | | 47 | 6 | | 48 | 12 | | 49 | 12 |
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| 58.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.37185929648241206 | | totalSentences | 199 | | uniqueOpeners | 74 | |
| 23.81% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 140 | | matches | | 0 | "Then the fox blinked, and" |
| | ratio | 0.007 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 140 | | matches | | 0 | "It pressed against her ears" | | 1 | "She stopped with one hand" | | 2 | "Their tall silhouette gathered itself" | | 3 | "Its deep crimson centre pulsed" | | 4 | "Her silver hair drifted around" | | 5 | "It had no face, only" | | 6 | "Its body cracked." | | 7 | "It seemed narrow at first," | | 8 | "She drove the blade through" | | 9 | "Its leaves folded against one" | | 10 | "They continued deeper." | | 11 | "Its body resembled a glass" | | 12 | "It ran uphill." | | 13 | "Their scales carried shifting colours:" | | 14 | "It had a woman’s voice." | | 15 | "Its eyes were small black" | | 16 | "Her mother singing while washing" | | 17 | "She backed away." | | 18 | "She looked down and saw" | | 19 | "Their body thinned until the" |
| | ratio | 0.171 | |
| 35.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 119 | | totalSentences | 140 | | matches | | 0 | "Aurora stepped between the standing" | | 1 | "The next, silence folded over" | | 2 | "It pressed against her ears" | | 3 | "She stopped with one hand" | | 4 | "Aurora glanced over her shoulder." | | 5 | "The stones stood where they" | | 6 | "A fox watched from the" | | 7 | "Rain hung in the air," | | 8 | "A wall of pale mist" | | 9 | "Aurora turned forward." | | 10 | "The clearing stretched beneath a" | | 11 | "Wildflowers covered the ground in" | | 12 | "Nyx emerged from her shadow." | | 13 | "Their tall silhouette gathered itself" | | 14 | "Aurora touched the silver chain" | | 15 | "The Heartstone Pendant rested against" | | 16 | "Its deep crimson centre pulsed" | | 17 | "Isolde crossed the threshold without" | | 18 | "Her silver hair drifted around" | | 19 | "Aurora stared at her." |
| | ratio | 0.85 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 140 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 3 | | matches | | 0 | "Wildflowers covered the ground in every shade she knew and several she did not—blue-black bells, flowers with translucent petals, tiny red blooms that opened an…" | | 1 | "The sound travelled through the path and returned from somewhere ahead in a different note, as though the grove answered their footsteps." | | 2 | "Beneath it waited glass, then bone-white stone, then something that shimmered like a night sky trapped under ice." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 57.41% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 5 | | fancyTags | | 0 | "Isolde murmured (murmur)" | | 1 | "they whispered (whisper)" | | 2 | "it breathed (breathe)" | | 3 | "she muttered (mutter)" | | 4 | "she whispered (whisper)" |
| | dialogueSentences | 54 | | tagDensity | 0.185 | | leniency | 0.37 | | rawRatio | 0.5 | | effectiveRatio | 0.185 | |