| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.02% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1114 | | totalAiIsmAdverbs | 2 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1114 | | totalAiIsms | 25 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "warmth" | | 1 | "pulse" | | 2 | "rhythmic" | | 3 | "throb" | | 4 | "loomed" | | 5 | "gloom" | | 6 | "etched" | | 7 | "whisper" | | 8 | "charm" | | 9 | "silence" | | 10 | "scanned" | | 11 | "pulsed" | | 12 | "flicker" | | 13 | "chilling" | | 14 | "echoed" | | 15 | "sense of" | | 16 | "weight" | | 17 | "searing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 135 | | matches | (empty) | |
| 79.37% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 6 | | narrationSentences | 135 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 143 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1111 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 1041 | | uniqueNames | 11 | | maxNameDensity | 0.96 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 3 | | Pendant | 3 | | Carter | 1 | | Richmond | 2 | | Park | 2 | | Eva | 2 | | Aurora | 10 | | Fae | 1 | | Grove | 1 | | Faerie | 1 | | Thai | 1 |
| | persons | | | places | | 0 | "Heartstone" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "Fae" | | 4 | "Grove" |
| | globalScore | 1 | | windowScore | 1 | |
| 25.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 80 | | glossingSentenceCount | 4 | | matches | | 0 | "felt like a trap" | | 1 | "luminescence that seemed to emanate from the ground itself" | | 2 | "susurrus that seemed to resonate within her very bones" | | 3 | "limbs that seemed to bend at impossible angles" |
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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 | 1111 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 143 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 24.69 | | std | 21.75 | | cv | 0.881 | | sampleLengths | | 0 | 33 | | 1 | 98 | | 2 | 74 | | 3 | 81 | | 4 | 5 | | 5 | 67 | | 6 | 49 | | 7 | 25 | | 8 | 42 | | 9 | 11 | | 10 | 16 | | 11 | 3 | | 12 | 8 | | 13 | 40 | | 14 | 20 | | 15 | 15 | | 16 | 39 | | 17 | 26 | | 18 | 19 | | 19 | 3 | | 20 | 3 | | 21 | 22 | | 22 | 3 | | 23 | 27 | | 24 | 9 | | 25 | 8 | | 26 | 6 | | 27 | 19 | | 28 | 11 | | 29 | 12 | | 30 | 4 | | 31 | 13 | | 32 | 25 | | 33 | 19 | | 34 | 19 | | 35 | 5 | | 36 | 34 | | 37 | 53 | | 38 | 13 | | 39 | 12 | | 40 | 45 | | 41 | 23 | | 42 | 22 | | 43 | 21 | | 44 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 135 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 168 | | matches | | 0 | "was coming" | | 1 | "wasn't threatening" |
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| 62.94% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 143 | | ratio | 0.028 | | matches | | 0 | "Each rustle of leaves sent a jolt through her; even the rhythmic thrum of the A31 sounded monstrously loud tonight." | | 1 | "It was deeper, richer, with an undertone of something feral – something ancient." | | 2 | "Wildflowers spilled across the clearing in riotous profusion – blues, purples, golds, colours that shouldn’t be possible at this time of year." | | 3 | "And a face—if it could be called a face—that was a grotesque mockery of humanity." |
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| 64.43% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 145 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.0896551724137931 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.020689655172413793 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 143 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 143 | | mean | 7.77 | | std | 5.29 | | cv | 0.681 | | sampleLengths | | 0 | 15 | | 1 | 10 | | 2 | 2 | | 3 | 6 | | 4 | 19 | | 5 | 14 | | 6 | 20 | | 7 | 12 | | 8 | 7 | | 9 | 26 | | 10 | 12 | | 11 | 16 | | 12 | 7 | | 13 | 8 | | 14 | 6 | | 15 | 1 | | 16 | 2 | | 17 | 3 | | 18 | 13 | | 19 | 6 | | 20 | 10 | | 21 | 4 | | 22 | 13 | | 23 | 9 | | 24 | 2 | | 25 | 18 | | 26 | 3 | | 27 | 4 | | 28 | 1 | | 29 | 6 | | 30 | 11 | | 31 | 5 | | 32 | 3 | | 33 | 11 | | 34 | 10 | | 35 | 9 | | 36 | 13 | | 37 | 21 | | 38 | 4 | | 39 | 22 | | 40 | 23 | | 41 | 4 | | 42 | 2 | | 43 | 2 | | 44 | 1 | | 45 | 12 | | 46 | 2 | | 47 | 2 | | 48 | 12 | | 49 | 10 |
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| 50.12% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.36363636363636365 | | totalSentences | 143 | | uniqueOpeners | 52 | |
| 89.29% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 112 | | matches | | 0 | "Just the deepening gloom, the" | | 1 | "Then, a voice." | | 2 | "Then, a second voice." |
| | ratio | 0.027 | |
| 95.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 112 | | matches | | 0 | "She’d been skirting the edge" | | 1 | "She’d told Eva she was" | | 2 | "She recognised it instantly: The" | | 3 | "It existed in a pocket" | | 4 | "She cleared her throat, the" | | 5 | "She pulled her phone from" | | 6 | "It was isolation, plain and" | | 7 | "She stepped between the stones." | | 8 | "It wasn't the gentle scent" | | 9 | "It was deeper, richer, with" | | 10 | "It was oddly beautiful." | | 11 | "It pulsed faster now, a" | | 12 | "she called out, her voice" | | 13 | "She told herself it was" | | 14 | "She was tired, stressed, probably" | | 15 | "She took a tentative step" | | 16 | "she murmured, forcing a calmness" | | 17 | "Her eyes darted around the" | | 18 | "She was a city girl," | | 19 | "She delivered Thai food and" |
| | ratio | 0.313 | |
| 62.68% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 112 | | matches | | 0 | "The silver chain tugged against" | | 1 | "Aurora Carter hadn't felt it" | | 2 | "She’d been skirting the edge" | | 3 | "The orange glow of streetlights" | | 4 | "Each rustle of leaves sent" | | 5 | "She’d told Eva she was" | | 6 | "Eva, as ever, had been" | | 7 | "The standing stones loomed, colossal" | | 8 | "She recognised it instantly: The" | | 9 | "Isolde's grove, as the locals" | | 10 | "It existed in a pocket" | | 11 | "A rumour, a whisper, a" | | 12 | "She cleared her throat, the" | | 13 | "A woman alone in a" | | 14 | "She pulled her phone from" | | 15 | "That was part of the" | | 16 | "A digital detox." | | 17 | "A return to nature." | | 18 | "It was isolation, plain and" | | 19 | "She stepped between the stones." |
| | ratio | 0.795 | |
| 89.29% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 112 | | matches | | 0 | "Now, Aurora wished she’d just" | | 1 | "Now, it felt like a" |
| | ratio | 0.018 | |
| 96.27% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 3 | | matches | | 0 | "The orange glow of the streetlights vanished, replaced by a soft, internal luminescence that seemed to emanate from the ground itself." | | 1 | "Wildflowers spilled across the clearing in riotous profusion – blues, purples, golds, colours that shouldn’t be possible at this time of year." | | 2 | "Oversized, almond-shaped eyes that glowed with the same internal luminescence as the ground." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 2 | | matches | | 0 | "she called out, her voice sounding thin and brittle in the stillness" | | 1 | "she said, her voice barely a whisper" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "she called out (call out)" | | 1 | "she murmured (murmur)" | | 2 | "the ragged rasping voice announced (announce)" |
| | dialogueSentences | 13 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0.75 | | effectiveRatio | 0.462 | |