| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.556 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 66.28% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1038 | | totalAiIsmAdverbs | 7 | | found | | 0 | | adverb | "deliberately" | | count | 2 |
| | 1 | | | 2 | | | 3 | | | 4 | |
| | highlights | | 0 | "deliberately" | | 1 | "utterly" | | 2 | "suddenly" | | 3 | "slightly" | | 4 | "slowly" |
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| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1038 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "pulsed" | | 3 | "silence" | | 4 | "profound" | | 5 | "scanned" | | 6 | "throb" | | 7 | "intricate" | | 8 | "flicker" | | 9 | "oppressive" | | 10 | "beacon" | | 11 | "warmth" | | 12 | "tangible" | | 13 | "vibrated" | | 14 | "complex" | | 15 | "throbbed" | | 16 | "whisper" | | 17 | "echoed" |
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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 | 1 | | narrationSentences | 100 | | matches | | |
| 85.71% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 100 | | filterMatches | (empty) | | hedgeMatches | | 0 | "started to" | | 1 | "seemed to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 104 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 18 | | totalWords | 1033 | | ratio | 0.017 | | matches | | 0 | "“Where the veil thins, the stone will guide.”" | | 1 | "sharp" | | 2 | "shifting" | | 3 | "were" | | 4 | "“You shouldn’t have come here, little mortal.”" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 994 | | uniqueNames | 11 | | maxNameDensity | 0.7 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 7 | | Richmond | 1 | | Park | 1 | | Golden | 1 | | Empress | 1 | | Fae | 2 | | Grove | 2 | | Cardiff | 1 | | Heartstone | 4 | | Eva | 1 | | London | 1 |
| | persons | | 0 | "Rory" | | 1 | "Empress" | | 2 | "Heartstone" | | 3 | "Eva" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Grove" | | 4 | "Cardiff" | | 5 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 78.57% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 2 | | matches | | 0 | "quite recognize, intricate spirals and looping designs" | | 1 | "as if studying her" |
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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 | 1033 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 104 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 31.3 | | std | 20.28 | | cv | 0.648 | | sampleLengths | | 0 | 70 | | 1 | 49 | | 2 | 64 | | 3 | 76 | | 4 | 5 | | 5 | 59 | | 6 | 15 | | 7 | 43 | | 8 | 41 | | 9 | 3 | | 10 | 31 | | 11 | 16 | | 12 | 66 | | 13 | 5 | | 14 | 44 | | 15 | 17 | | 16 | 20 | | 17 | 29 | | 18 | 11 | | 19 | 34 | | 20 | 34 | | 21 | 24 | | 22 | 48 | | 23 | 16 | | 24 | 12 | | 25 | 47 | | 26 | 10 | | 27 | 43 | | 28 | 30 | | 29 | 17 | | 30 | 19 | | 31 | 31 | | 32 | 4 |
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| 94.74% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 100 | | matches | | 0 | "was deserted" | | 1 | "been left" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 169 | | matches | | |
| 32.97% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 2 | | flaggedSentences | 4 | | totalSentences | 104 | | ratio | 0.038 | | matches | | 0 | "Yu-Fei would be furious if she was late, but the urgency of her task – the reason she’d sought out the Fae Grove – trumped a scolding." | | 1 | "The silence wasn't the peaceful quiet of a deserted park; it was an expectant hush, a stillness so profound it made her ears ring." | | 2 | "As if someone—or something—had been tending to them." | | 3 | "The shadows weren’t just stretching; they were *shifting*, coalescing into shapes." |
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| 82.77% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 999 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 48 | | adverbRatio | 0.04804804804804805 | | lyAdverbCount | 25 | | lyAdverbRatio | 0.025025025025025027 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 104 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 104 | | mean | 9.93 | | std | 6.59 | | cv | 0.664 | | sampleLengths | | 0 | 20 | | 1 | 23 | | 2 | 4 | | 3 | 12 | | 4 | 11 | | 5 | 22 | | 6 | 27 | | 7 | 18 | | 8 | 11 | | 9 | 2 | | 10 | 17 | | 11 | 16 | | 12 | 5 | | 13 | 17 | | 14 | 9 | | 15 | 40 | | 16 | 5 | | 17 | 5 | | 18 | 3 | | 19 | 18 | | 20 | 8 | | 21 | 13 | | 22 | 17 | | 23 | 12 | | 24 | 3 | | 25 | 6 | | 26 | 13 | | 27 | 24 | | 28 | 10 | | 29 | 12 | | 30 | 10 | | 31 | 8 | | 32 | 1 | | 33 | 3 | | 34 | 5 | | 35 | 11 | | 36 | 9 | | 37 | 5 | | 38 | 1 | | 39 | 16 | | 40 | 16 | | 41 | 12 | | 42 | 10 | | 43 | 4 | | 44 | 2 | | 45 | 1 | | 46 | 13 | | 47 | 8 | | 48 | 2 | | 49 | 3 |
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| 44.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3269230769230769 | | totalSentences | 104 | | uniqueOpeners | 34 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 89 | | matches | | 0 | "Deliberately placed in patterns she" | | 1 | "Only the rustling of leaves," | | 2 | "Only the trees, the flowers," |
| | ratio | 0.034 | |
| 67.19% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 89 | | matches | | 0 | "It was late, almost midnight," | | 1 | "She’d chosen this spot deliberately," | | 2 | "She adjusted the strap of" | | 3 | "They marked the boundary, the" | | 4 | "She’d come for the Heartstone." | | 5 | "She clutched it, the familiar" | | 6 | "It had been left for" | | 7 | "It was beautiful, undeniably so," | | 8 | "She scanned the clearing, the" | | 9 | "It always did when she" | | 10 | "She froze, every muscle tense." | | 11 | "It could have been an" | | 12 | "She held her breath, listening." | | 13 | "she muttered under her breath," | | 14 | "She started to walk, heading" | | 15 | "She saw a flicker of" | | 16 | "she called out, her voice" | | 17 | "She took a hesitant step" | | 18 | "She focused on it, grounding" | | 19 | "she told herself" |
| | ratio | 0.382 | |
| 77.98% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 89 | | matches | | 0 | "The wrought iron gate groaned" | | 1 | "It was late, almost midnight," | | 2 | "She’d chosen this spot deliberately," | | 3 | "She adjusted the strap of" | | 4 | "Yu-Fei would be furious if" | | 5 | "The standing stones were easy" | | 6 | "They marked the boundary, the" | | 7 | "Rory hadn’t paid much attention" | | 8 | "She’d come for the Heartstone." | | 9 | "The pendant, a deep crimson" | | 10 | "She clutched it, the familiar" | | 11 | "It had been left for" | | 12 | "Rory stepped beyond the stones." | | 13 | "The park vanished." | | 14 | "The manicured lawns and formal" | | 15 | "The scent was overwhelmingly sweet," | | 16 | "The trees here were different" | | 17 | "This was the Fae Grove," | | 18 | "It was beautiful, undeniably so," | | 19 | "Rory's breath caught in her" |
| | ratio | 0.764 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 89 | | matches | | 0 | "Now, staring at the ancient" | | 1 | "As if someone—or something—had been" |
| | ratio | 0.022 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 1 | | matches | | 0 | "The wildflowers began to sway, their petals trembling as if caught in an invisible current." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 2 | | matches | | 0 | "she called out, her voice sounding thin and reedy in the oppressive silence" | | 1 | "she insisted, but her voice lacked conviction" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she called out (call out)" | | 2 | "she insisted (insist)" |
| | dialogueSentences | 9 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0.75 | | effectiveRatio | 0.667 | |