| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 76.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 858 | | totalAiIsmAdverbs | 4 | | found | | 0 | | adverb | "barely above a whisper" | | count | 1 |
| | 1 | | | 2 | | adverb | "reluctantly" | | count | 1 |
| | 3 | |
| | highlights | | 0 | "barely above a whisper" | | 1 | "suddenly" | | 2 | "reluctantly" | | 3 | "truly" |
| |
| 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 | 858 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | word | "sent shivers down" | | count | 1 |
| | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "echoing" | | 1 | "loomed" | | 2 | "sentinels" | | 3 | "silence" | | 4 | "palpable" | | 5 | "unravel" | | 6 | "scanning" | | 7 | "whisper" | | 8 | "sense of" | | 9 | "vibrated" | | 10 | "resonated" | | 11 | "warmth" | | 12 | "pulse" | | 13 | "profound" | | 14 | "sent shivers down" | | 15 | "dance" | | 16 | "pounding" | | 17 | "resolve" | | 18 | "echo" | | 19 | "reminder" |
| |
| 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 | 53 | | matches | (empty) | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 7 | | narrationSentences | 53 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 53 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 858 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 96.56% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 842 | | uniqueNames | 8 | | maxNameDensity | 1.07 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Grove" | | discoveredNames | | Carter | 2 | | Richmond | 1 | | Park | 1 | | Fae | 4 | | Grove | 7 | | Heartstone | 3 | | Pendant | 3 | | Aurora | 9 |
| | persons | | 0 | "Carter" | | 1 | "Pendant" | | 2 | "Aurora" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Grove" |
| | globalScore | 0.966 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 6 | | matches | | 0 | "seemed unchanged" | | 1 | "sound that seemed to come from all directions at once" | | 2 | "It was as if something had just passed through, moments before she entered" | | 3 | "seemed undisturbed now, their blooms facing the sky as if in prayer" | | 4 | "pulse that seemed to synchronize with the hum" | | 5 | "seemed rooted to the spot" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 858 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 53 | | matches | (empty) | |
| 94.98% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 18 | | mean | 47.67 | | std | 23 | | cv | 0.482 | | sampleLengths | | 0 | 83 | | 1 | 76 | | 2 | 75 | | 3 | 29 | | 4 | 79 | | 5 | 33 | | 6 | 79 | | 7 | 62 | | 8 | 29 | | 9 | 67 | | 10 | 13 | | 11 | 31 | | 12 | 34 | | 13 | 37 | | 14 | 13 | | 15 | 34 | | 16 | 46 | | 17 | 38 |
| |
| 98.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 53 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 134 | | matches | | |
| 88.95% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 53 | | ratio | 0.019 | | matches | | 0 | "That was when she noticed it – a faint, almost imperceptible shift in the pattern of the wildflowers." |
| |
| 92.39% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 842 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 41 | | adverbRatio | 0.048693586698337295 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.014251781472684086 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 53 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 53 | | mean | 16.19 | | std | 7.33 | | cv | 0.453 | | sampleLengths | | 0 | 21 | | 1 | 28 | | 2 | 34 | | 3 | 16 | | 4 | 21 | | 5 | 16 | | 6 | 23 | | 7 | 23 | | 8 | 11 | | 9 | 16 | | 10 | 13 | | 11 | 12 | | 12 | 29 | | 13 | 6 | | 14 | 11 | | 15 | 16 | | 16 | 13 | | 17 | 16 | | 18 | 14 | | 19 | 3 | | 20 | 11 | | 21 | 22 | | 22 | 24 | | 23 | 18 | | 24 | 13 | | 25 | 24 | | 26 | 9 | | 27 | 15 | | 28 | 22 | | 29 | 16 | | 30 | 12 | | 31 | 17 | | 32 | 7 | | 33 | 13 | | 34 | 8 | | 35 | 13 | | 36 | 9 | | 37 | 17 | | 38 | 13 | | 39 | 15 | | 40 | 16 | | 41 | 14 | | 42 | 20 | | 43 | 6 | | 44 | 16 | | 45 | 15 | | 46 | 13 | | 47 | 5 | | 48 | 13 | | 49 | 16 |
| |
| 64.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.39622641509433965 | | totalSentences | 53 | | uniqueOpeners | 21 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 53 | | matches | | 0 | "Suddenly, the air vibrated with" | | 1 | "Then, with a resolve that" |
| | ratio | 0.038 | |
| 76.60% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 53 | | matches | | 0 | "She had been drawn back" | | 1 | "She slowed her pace, her" | | 2 | "They loomed before her, sentinels" | | 3 | "She breathed deeply, attributing the" | | 4 | "she whispered to herself, the" | | 5 | "She turned towards the sound," | | 6 | "she called out, her voice" | | 7 | "It was as if something" | | 8 | "She spun around, her gaze" | | 9 | "It wasn't loud, but it" | | 10 | "she murmured, her voice laced" | | 11 | "It was then that she" | | 12 | "She took a step forward," | | 13 | "Her breath caught in her" | | 14 | "She spun around, trying to" | | 15 | "she demanded, her voice firm," | | 16 | "It seemed to come from" | | 17 | "She knew then that she" | | 18 | "she whispered, the word barely" |
| | ratio | 0.358 | |
| 44.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 44 | | totalSentences | 53 | | matches | | 0 | "Aurora Carter stepped out of" | | 1 | "The darkness seemed to swallow" | | 2 | "She had been drawn back" | | 3 | "The air thickened with the" | | 4 | "Aurora's bright blue eyes, accustomed" | | 5 | "She slowed her pace, her" | | 6 | "The first hint of unease" | | 7 | "They loomed before her, sentinels" | | 8 | "The silence was almost palpable," | | 9 | "She breathed deeply, attributing the" | | 10 | "she whispered to herself, the" | | 11 | "Wildflowers bloomed underfoot, releasing their" | | 12 | "The sky above, visible through" | | 13 | "A soft rustling, like the" | | 14 | "She turned towards the sound," | | 15 | "The rustling stopped." | | 16 | "she called out, her voice" | | 17 | "The only response was the" | | 18 | "Aurora took a deep breath" | | 19 | "That was when she noticed" |
| | ratio | 0.83 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 69.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 4 | | matches | | 0 | "The only response was the distant, mournful hoot of an owl, a sound that seemed to come from all directions at once." | | 1 | "She spun around, her gaze darting across the clearing, but the flowers seemed undisturbed now, their blooms facing the sky as if in prayer." | | 2 | "It wasn't loud, but it felt primal, a vibration that resonated deep within her chest." | | 3 | "As she stepped between the ancient oaks, out of the Grove's embrace, the laughter started again, a soft, fading echo that followed her into the night, a reminde…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 3 | | matches | | 0 | "she called out, her voice cautious, barely above a whisper" | | 1 | "a whisper seemed, the voice indistinct, genderless" | | 2 | "she whispered, the word barely audible over the pounding of her heart" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 5 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "she called out (call out)" | | 2 | "she murmured (murmur)" | | 3 | "she demanded (demand)" | | 4 | "she whispered (whisper)" |
| | dialogueSentences | 6 | | tagDensity | 0.833 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |