| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.40% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 893 | | 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) | |
| 27.21% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 893 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "silence" | | 3 | "scanned" | | 4 | "chill" | | 5 | "gloom" | | 6 | "weight" | | 7 | "perfect" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 121 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 121 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 121 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 21 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 893 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 884 | | uniqueNames | 4 | | maxNameDensity | 1.02 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 1 | | Pendant | 1 | | November | 1 | | Rory | 9 |
| | persons | | 0 | "Pendant" | | 1 | "November" | | 2 | "Rory" |
| | places | (empty) | | globalScore | 0.991 | | windowScore | 0.833 | |
| 2.94% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 4 | | matches | | 0 | "not quite touching the ground" | | 1 | "sounded like her own name, stretched and w" | | 2 | "looked like hers, but tattered, stained w" | | 3 | "felt like it was breathing, rising and" |
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| 88.02% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.12 | | wordCount | 893 | | matches | | 0 | "not a voice, but a distortion of the rustling leaves she had heard earlier" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 121 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 24.14 | | std | 16.28 | | cv | 0.674 | | sampleLengths | | 0 | 63 | | 1 | 52 | | 2 | 41 | | 3 | 8 | | 4 | 39 | | 5 | 10 | | 6 | 25 | | 7 | 54 | | 8 | 30 | | 9 | 27 | | 10 | 41 | | 11 | 27 | | 12 | 11 | | 13 | 33 | | 14 | 59 | | 15 | 11 | | 16 | 23 | | 17 | 9 | | 18 | 34 | | 19 | 35 | | 20 | 6 | | 21 | 45 | | 22 | 14 | | 23 | 18 | | 24 | 13 | | 25 | 22 | | 26 | 4 | | 27 | 7 | | 28 | 27 | | 29 | 15 | | 30 | 29 | | 31 | 5 | | 32 | 14 | | 33 | 15 | | 34 | 5 | | 35 | 19 | | 36 | 3 |
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| 99.46% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 121 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 167 | | matches | | |
| 95.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 121 | | ratio | 0.017 | | matches | | 0 | "It didn't just glow; it hummed, a low vibration that traveled up her arm." | | 1 | "It didn't walk; it slid, feet not quite touching the ground." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 885 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.023728813559322035 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0022598870056497176 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 121 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 121 | | mean | 7.38 | | std | 4.54 | | cv | 0.615 | | sampleLengths | | 0 | 14 | | 1 | 18 | | 2 | 4 | | 3 | 6 | | 4 | 8 | | 5 | 13 | | 6 | 9 | | 7 | 19 | | 8 | 10 | | 9 | 14 | | 10 | 2 | | 11 | 5 | | 12 | 8 | | 13 | 4 | | 14 | 15 | | 15 | 4 | | 16 | 3 | | 17 | 8 | | 18 | 11 | | 19 | 2 | | 20 | 11 | | 21 | 15 | | 22 | 10 | | 23 | 2 | | 24 | 11 | | 25 | 4 | | 26 | 8 | | 27 | 6 | | 28 | 8 | | 29 | 12 | | 30 | 21 | | 31 | 7 | | 32 | 10 | | 33 | 10 | | 34 | 3 | | 35 | 4 | | 36 | 3 | | 37 | 2 | | 38 | 15 | | 39 | 5 | | 40 | 1 | | 41 | 1 | | 42 | 3 | | 43 | 4 | | 44 | 18 | | 45 | 12 | | 46 | 3 | | 47 | 4 | | 48 | 6 | | 49 | 11 |
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| 36.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.24793388429752067 | | totalSentences | 121 | | uniqueOpeners | 30 | |
| 30.58% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 109 | | matches | | 0 | "Just the faint, wet sound" |
| | ratio | 0.009 | |
| 65.87% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 109 | | matches | | 0 | "She checked her watch." | | 1 | "She had crossed the threshold" | | 2 | "She pulled the Heartstone Pendant" | | 3 | "It didn't just glow; it" | | 4 | "It pressed against her eardrums," | | 5 | "She scanned the treeline." | | 6 | "They shouldn't be open." | | 7 | "They shouldn't exist." | | 8 | "She turned, hand hovering over" | | 9 | "She took a step forward," | | 10 | "Her voice dropped low, swallowed" | | 11 | "It wasn't an animal." | | 12 | "She walked deeper into the" | | 13 | "She gripped the stone, her" | | 14 | "It stood too tall, its" | | 15 | "It didn't breathe." | | 16 | "It didn't shift weight." | | 17 | "It just watched." | | 18 | "Her heart hammered against her" | | 19 | "She forced herself to breathe." |
| | ratio | 0.385 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 105 | | totalSentences | 109 | | matches | | 0 | "The air inside the standing" | | 1 | "Aurora stepped past the boundary" | | 2 | "She checked her watch." | | 3 | "The digital display read 11:42" | | 4 | "She had crossed the threshold" | | 5 | "The time on the phone" | | 6 | "She pulled the Heartstone Pendant" | | 7 | "The deep crimson gem pulsed" | | 8 | "Warmth radiated from the silver" | | 9 | "It didn't just glow; it" | | 10 | "The silence here wasn't empty." | | 11 | "It pressed against her eardrums," | | 12 | "She scanned the treeline." | | 13 | "The wildflowers bloomed in patches" | | 14 | "They shouldn't be open." | | 15 | "They shouldn't exist." | | 16 | "A rustle broke the quiet" | | 17 | "She turned, hand hovering over" | | 18 | "The branches of the surrounding" | | 19 | "She took a step forward," |
| | ratio | 0.963 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 109 | | matches | (empty) | | ratio | 0 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 4 | | matches | | 0 | "Aurora stepped past the boundary of ancient oak, her boots crunching on gravel that felt too soft underfoot." | | 1 | "The deep crimson gem pulsed against her palm, a faint rhythm that matched the sudden thumping in her chest." | | 2 | "The scar on her left wrist began to itch, a phantom pain from a childhood accident that had long since healed." | | 3 | "Her heart hammered against her ribs, a frantic drumbeat that drowned out her own thoughts." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "she demanded, her voice steadier than she felt" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "she demanded (demand)" | | 1 | "the figure whispered (whisper)" |
| | dialogueSentences | 5 | | tagDensity | 0.8 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |