| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 1 | | adverbTags | | 0 | "the thick air swallowed almost [almost]" |
| | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |
| 64.45% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 844 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slowly" | | 1 | "very" | | 2 | "slightly" |
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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) | |
| 17.06% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 844 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "chill" | | 1 | "tracing" | | 2 | "warmth" | | 3 | "silence" | | 4 | "perfect" | | 5 | "footsteps" | | 6 | "measured" | | 7 | "weight" | | 8 | "echo" | | 9 | "flicker" | | 10 | "gloom" | | 11 | "pulse" |
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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 | 91 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 91 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 31 | | totalWords | 840 | | ratio | 0.037 | | matches | | 0 | "‘It will show you the truth to hide.’" | | 1 | "Crunch." | | 2 | "Get a grip, Rory. You’re freaking yourself out. It’s a park. You deliver noodles for a living. This isn’t a horror film." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 828 | | uniqueNames | 9 | | maxNameDensity | 0.36 | | worstName | "Silas" | | maxWindowNameDensity | 1 | | worstWindowName | "Silas" | | discoveredNames | | London | 1 | | English | 1 | | Silas | 3 | | Grove | 1 | | Heartstone | 2 | | Dymas | 1 | | Rory | 1 | | Aurora | 2 | | Carter | 1 |
| | persons | | 0 | "Silas" | | 1 | "Dymas" | | 2 | "Rory" | | 3 | "Aurora" | | 4 | "Carter" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 5.77% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 3 | | matches | | 0 | "seemed much lower heret run" | | 1 | "felt like a place of predation" | | 2 | "notes that seemed to come from everywhere at once" |
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| 80.95% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.19 | | wordCount | 840 | | matches | | 0 | "Not faded, but was snipped off, like a thread" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 92 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 21 | | mean | 40 | | std | 30.58 | | cv | 0.765 | | sampleLengths | | 0 | 61 | | 1 | 35 | | 2 | 82 | | 3 | 129 | | 4 | 6 | | 5 | 12 | | 6 | 1 | | 7 | 32 | | 8 | 18 | | 9 | 60 | | 10 | 41 | | 11 | 22 | | 12 | 69 | | 13 | 17 | | 14 | 25 | | 15 | 85 | | 16 | 40 | | 17 | 20 | | 18 | 43 | | 19 | 22 | | 20 | 20 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 91 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 134 | | matches | | 0 | "was being" | | 1 | "were standing" | | 2 | "was working" | | 3 | "was showing" | | 4 | "was standing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 92 | | ratio | 0.011 | | matches | | 0 | "She unearthed it—a small, bleached-white dropping it as a gasp caught in her throat." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 154 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 3 | | adverbRatio | 0.01948051948051948 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 9.13 | | std | 7.64 | | cv | 0.837 | | sampleLengths | | 0 | 4 | | 1 | 38 | | 2 | 19 | | 3 | 30 | | 4 | 3 | | 5 | 2 | | 6 | 11 | | 7 | 11 | | 8 | 7 | | 9 | 28 | | 10 | 11 | | 11 | 14 | | 12 | 13 | | 13 | 9 | | 14 | 10 | | 15 | 26 | | 16 | 2 | | 17 | 2 | | 18 | 13 | | 19 | 16 | | 20 | 22 | | 21 | 6 | | 22 | 10 | | 23 | 6 | | 24 | 8 | | 25 | 1 | | 26 | 3 | | 27 | 1 | | 28 | 6 | | 29 | 1 | | 30 | 13 | | 31 | 12 | | 32 | 14 | | 33 | 4 | | 34 | 2 | | 35 | 6 | | 36 | 5 | | 37 | 18 | | 38 | 2 | | 39 | 17 | | 40 | 1 | | 41 | 7 | | 42 | 2 | | 43 | 10 | | 44 | 6 | | 45 | 1 | | 46 | 5 | | 47 | 5 | | 48 | 4 | | 49 | 3 |
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| 50.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.358695652173913 | | totalSentences | 92 | | uniqueOpeners | 33 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 76 | | matches | | 0 | "Just a flat, colourless ceiling" | | 1 | "Of course there was no" | | 2 | "Just the same impenetrable gloom." | | 3 | "Slowly, against every screaming fibre" |
| | ratio | 0.053 | |
| 41.05% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 76 | | matches | | 0 | "She pulled her leather jacket" | | 1 | "She’d found the place by" | | 2 | "Her fingers found the Heartstone" | | 3 | "She stepped past the final" | | 4 | "She forced her breathing to" | | 5 | "Her eyes, a Silas sent" | | 6 | "She saw the things other" | | 7 | "She froze, her head snapping" | | 8 | "It wasn’t the was the" | | 9 | "She turned slowly, her heart" | | 10 | "Her voice was a foreign" | | 11 | "It didn’t even echo." | | 12 | "She was being an idiot." | | 13 | "She shook her head, a" | | 14 | "Her hand went to the" | | 15 | "Her mind replayed the image." | | 16 | "It had been tall." | | 17 | "It had been a fluid," | | 18 | "You’re freaking yourself out." | | 19 | "It’s a park." |
| | ratio | 0.447 | |
| 91.58% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 76 | | matches | | 0 | "a soft, final crunch." | | 1 | "The air in the grove" | | 2 | "She pulled her leather jacket" | | 3 | "She’d found the place by" | | 4 | "This was it." | | 5 | "Her fingers found the Heartstone" | | 6 | "The deep crimson gem felt" | | 7 | "Nothing to suggest it was" | | 8 | "She stepped past the final" | | 9 | "The silence that rushed in" | | 10 | "The grove itself was a" | | 11 | "Running was for prey, and" | | 12 | "She forced her breathing to" | | 13 | "Her eyes, a Silas sent" | | 14 | "She saw the things other" | | 15 | "A twig snapped to her" | | 16 | "She froze, her head snapping" | | 17 | "This one came from her" | | 18 | "It wasn’t the was the" | | 19 | "She turned slowly, her heart" |
| | ratio | 0.737 | |
| 65.79% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 76 | | matches | | 0 | "As if she were standing" |
| | ratio | 0.013 | |
| 81.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 3 | | matches | | 0 | "She pulled her leather jacket tighter, the chill that prickled her skin having nothing to do with the temperature." | | 1 | "As if she were standing on a painted backdrop whole illusion would tear, revealing something terrible behind, dark, and rich." | | 2 | "It was melody-less, tuneless, just two hollow notes that seemed to come from everywhere at once." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |