| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1241 | | 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) | |
| 35.54% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1241 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "perfect" | | 1 | "amidst" | | 2 | "silence" | | 3 | "roaring" | | 4 | "pulsed" | | 5 | "racing" | | 6 | "beacon" | | 7 | "loomed" | | 8 | "flickered" | | 9 | "vibrated" | | 10 | "dancing" | | 11 | "scanned" | | 12 | "maw" | | 13 | "shattered" |
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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 | 151 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 151 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 153 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1235 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 1226 | | uniqueNames | 8 | | maxNameDensity | 0.57 | | worstName | "Heartstone" | | maxWindowNameDensity | 1 | | worstWindowName | "Heartstone" | | discoveredNames | | Heartstone | 7 | | Richmond | 1 | | Park | 1 | | Grove | 1 | | London | 2 | | November | 1 | | Heathrow | 1 | | Romans | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Heathrow" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 100 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like stones grinding together" |
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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 | 1235 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 153 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 23.3 | | std | 16.94 | | cv | 0.727 | | sampleLengths | | 0 | 85 | | 1 | 53 | | 2 | 44 | | 3 | 43 | | 4 | 19 | | 5 | 6 | | 6 | 28 | | 7 | 14 | | 8 | 65 | | 9 | 30 | | 10 | 8 | | 11 | 20 | | 12 | 5 | | 13 | 40 | | 14 | 32 | | 15 | 7 | | 16 | 34 | | 17 | 13 | | 18 | 4 | | 19 | 13 | | 20 | 19 | | 21 | 2 | | 22 | 21 | | 23 | 28 | | 24 | 3 | | 25 | 38 | | 26 | 7 | | 27 | 4 | | 28 | 26 | | 29 | 9 | | 30 | 4 | | 31 | 43 | | 32 | 15 | | 33 | 10 | | 34 | 35 | | 35 | 20 | | 36 | 5 | | 37 | 3 | | 38 | 45 | | 39 | 14 | | 40 | 43 | | 41 | 15 | | 42 | 16 | | 43 | 32 | | 44 | 32 | | 45 | 16 | | 46 | 22 | | 47 | 33 | | 48 | 18 | | 49 | 27 |
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| 98.29% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 151 | | matches | | 0 | "was gone" | | 1 | "was covered" | | 2 | "been hidden" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 220 | | matches | | 0 | "was glowing" | | 1 | "was deafening" | | 2 | "was surrounding" |
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| 68.16% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 2 | | flaggedSentences | 4 | | totalSentences | 153 | | ratio | 0.026 | | matches | | 0 | "I didn't need to look down to know the Heartstone was glowing; the heat radiated through my thick jumper, a focused point of pressure against my sternum." | | 1 | "They loomed ahead—great, jagged slabs of granite that predated the Romans." | | 2 | "It didn't walk; it glided, the roots beneath it writhing to push it forward." | | 3 | "The smell hit me then—sulphur, old copper, and the stench of a butcher's shop in high summer." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1232 | | adjectiveStacks | 1 | | stackExamples | | 0 | "ahead—great, jagged slabs" |
| | adverbCount | 39 | | adverbRatio | 0.03165584415584415 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.00974025974025974 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 153 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 153 | | mean | 8.07 | | std | 5.06 | | cv | 0.627 | | sampleLengths | | 0 | 12 | | 1 | 27 | | 2 | 19 | | 3 | 4 | | 4 | 13 | | 5 | 10 | | 6 | 5 | | 7 | 12 | | 8 | 15 | | 9 | 6 | | 10 | 11 | | 11 | 3 | | 12 | 1 | | 13 | 9 | | 14 | 9 | | 15 | 7 | | 16 | 6 | | 17 | 13 | | 18 | 4 | | 19 | 11 | | 20 | 8 | | 21 | 11 | | 22 | 4 | | 23 | 2 | | 24 | 3 | | 25 | 9 | | 26 | 6 | | 27 | 3 | | 28 | 1 | | 29 | 6 | | 30 | 9 | | 31 | 9 | | 32 | 10 | | 33 | 3 | | 34 | 4 | | 35 | 1 | | 36 | 6 | | 37 | 6 | | 38 | 12 | | 39 | 2 | | 40 | 5 | | 41 | 4 | | 42 | 12 | | 43 | 11 | | 44 | 13 | | 45 | 7 | | 46 | 1 | | 47 | 9 | | 48 | 13 | | 49 | 8 |
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| 33.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 26 | | diversityRatio | 0.2679738562091503 | | totalSentences | 153 | | uniqueOpeners | 41 | |
| 75.19% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 133 | | matches | | 0 | "Just the sound of my" | | 1 | "Just the swaying wildflowers." | | 2 | "Just the rustling of leaves." |
| | ratio | 0.023 | |
| 45.56% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 58 | | totalSentences | 133 | | matches | | 0 | "I didn't need to look" | | 1 | "I ducked under the low-hanging" | | 2 | "It wasn't the biting cold" | | 3 | "It was still." | | 4 | "I moved forward, boots sinking" | | 5 | "They clustered so thickly they" | | 6 | "I knelt, my jeans soaking" | | 7 | "I stood up, wiping my" | | 8 | "It was dark." | | 9 | "I spun around, my heart" | | 10 | "My voice sounded flat." | | 11 | "I reached for the Heartstone" | | 12 | "It wasn't just a warning." | | 13 | "It was a beacon." | | 14 | "I walked towards the centre" | | 15 | "They loomed ahead—great, jagged slabs" | | 16 | "They stood in a crooked" | | 17 | "It masked the metallic tang" | | 18 | "I turned my head slowly." | | 19 | "They rippled in a wind" |
| | ratio | 0.436 | |
| 27.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 115 | | totalSentences | 133 | | matches | | 0 | "The silver chain seared the" | | 1 | "I didn't need to look" | | 2 | "I ducked under the low-hanging" | | 3 | "The air changed instantly." | | 4 | "The damp, earthy smell of" | | 5 | "The clearing shouldn't be visible." | | 6 | "The police reports mentioned fog," | | 7 | "The temperature here was different," | | 8 | "It wasn't the biting cold" | | 9 | "It was still." | | 10 | "I moved forward, boots sinking" | | 11 | "The silence pressed against my" | | 12 | "Wildflowers carpeted the clearing." | | 13 | "They clustered so thickly they" | | 14 | "I knelt, my jeans soaking" | | 15 | "The petals felt soft." | | 16 | "I stood up, wiping my" | | 17 | "The smear left behind wasn't" | | 18 | "It was dark." | | 19 | "A twig snapped to my" |
| | ratio | 0.865 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 133 | | matches | (empty) | | ratio | 0 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 4 | | matches | | 0 | "I ducked under the low-hanging bough of the ancient oak, stepping over the gnarled root that marked the boundary." | | 1 | "The gemstone pulsed in a rhythm that matched my own racing heart." | | 2 | "The oaks bent inward, their branches reaching down like gnarled fingers, boxing us in." | | 3 | "The flowers surged upwards, growing rapidly, blooming and dying in seconds, their petals turning black and rotting as they brushed against my skin." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 5 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 1 | | effectiveRatio | 0.4 | |