| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 75.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 822 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
| | 2 | |
| | highlights | | 0 | "slowly" | | 1 | "barely above a whisper" | | 2 | "very" |
| |
| 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 | 822 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | word | "down her spine" | | count | 1 |
| | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "palpable" | | 1 | "shimmered" | | 2 | "pulsed" | | 3 | "warmth" | | 4 | "down her spine" | | 5 | "crystal" | | 6 | "enigma" | | 7 | "cascading" | | 8 | "glinting" | | 9 | "otherworldly" | | 10 | "intensity" | | 11 | "silence" | | 12 | "pounding" | | 13 | "whisper" | | 14 | "echoed" | | 15 | "anticipation" | | 16 | "loomed" | | 17 | "weight" | | 18 | "delved" | | 19 | "racing" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 60.90% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 3 | | narrationSentences | 39 | | matches | | 0 | "felt a shiver" | | 1 | "d with unease" | | 2 | "e with anticipation" |
| |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 5 | | narrationSentences | 39 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 47 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 820 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 64.20% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 641 | | uniqueNames | 11 | | maxNameDensity | 1.72 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Fae | 3 | | Grove | 3 | | Richmond | 1 | | Park | 1 | | Aurora | 11 | | Heartstone | 1 | | Pendant | 1 | | Isolde | 4 | | Seer | 1 | | Nyx | 5 | | Oak | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Isolde" | | 2 | "Seer" | | 3 | "Nyx" | | 4 | "Oak" |
| | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "Richmond" | | 3 | "Park" | | 4 | "Heartstone" |
| | globalScore | 0.642 | | windowScore | 0.667 | |
| 21.79% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 39 | | glossingSentenceCount | 2 | | matches | | 0 | "appeared beside them, her silver hair cascading down her back like a river of moonlight" | | 1 | "felt like a physical presence" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 820 | | matches | (empty) | |
| 24.82% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 47 | | matches | | 0 | "knew that she" | | 1 | "knew that she" |
| |
| 80.55% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 43.16 | | std | 18.64 | | cv | 0.432 | | sampleLengths | | 0 | 97 | | 1 | 24 | | 2 | 53 | | 3 | 51 | | 4 | 46 | | 5 | 54 | | 6 | 53 | | 7 | 40 | | 8 | 32 | | 9 | 49 | | 10 | 11 | | 11 | 29 | | 12 | 12 | | 13 | 45 | | 14 | 32 | | 15 | 54 | | 16 | 36 | | 17 | 60 | | 18 | 42 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 39 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 101 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 643 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.03576982892690513 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.012441679626749611 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 47 | | echoCount | 0 | | echoWords | (empty) | |
| 87.51% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 47 | | mean | 17.45 | | std | 6.43 | | cv | 0.369 | | sampleLengths | | 0 | 20 | | 1 | 18 | | 2 | 15 | | 3 | 16 | | 4 | 28 | | 5 | 13 | | 6 | 11 | | 7 | 15 | | 8 | 17 | | 9 | 21 | | 10 | 15 | | 11 | 13 | | 12 | 23 | | 13 | 18 | | 14 | 17 | | 15 | 11 | | 16 | 18 | | 17 | 21 | | 18 | 15 | | 19 | 19 | | 20 | 15 | | 21 | 19 | | 22 | 16 | | 23 | 11 | | 24 | 13 | | 25 | 10 | | 26 | 22 | | 27 | 13 | | 28 | 12 | | 29 | 24 | | 30 | 11 | | 31 | 11 | | 32 | 18 | | 33 | 12 | | 34 | 9 | | 35 | 36 | | 36 | 15 | | 37 | 17 | | 38 | 11 | | 39 | 14 | | 40 | 29 | | 41 | 17 | | 42 | 19 | | 43 | 20 | | 44 | 16 | | 45 | 24 | | 46 | 42 |
| |
| 61.70% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.3829787234042553 | | totalSentences | 47 | | uniqueOpeners | 18 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 39 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 6 | | totalSentences | 39 | | matches | | 0 | "She felt a shiver run" | | 1 | "they said, their voice carrying" | | 2 | "she said, her pale lavender" | | 3 | "Its bark shone with a" | | 4 | "She felt Nyx's presence beside" | | 5 | "She knew that she had" |
| | ratio | 0.154 | |
| 36.92% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 33 | | totalSentences | 39 | | matches | | 0 | "Aurora's eyes adjusted slowly to" | | 1 | "The Fae Grove, hidden within" | | 2 | "Wildflowers of every color swayed" | | 3 | "Nyx whispered, their voice barely" | | 4 | "Aurora's hand instinctively rose to" | | 5 | "The gemstone pulsed with a" | | 6 | "She felt a shiver run" | | 7 | "Water lilies floated on the" | | 8 | "A faint hum, almost a" | | 9 | "Nyx, ever the enigma, glided" | | 10 | "they said, their voice carrying" | | 11 | "Isolde, the Seer, appeared beside" | | 12 | "she said, her pale lavender" | | 13 | "Aurora's gaze drifted to the" | | 14 | "Its bark shone with a" | | 15 | "The air around the tree" | | 16 | "Aurora's skin prickled with unease," | | 17 | "Nyx's whisper echoed in her" | | 18 | "Isolde's voice broke the spell," | | 19 | "Aurora's hand reached out, hesitated," |
| | ratio | 0.846 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 39 | | matches | | 0 | "To their left, a crystal-clear" |
| | ratio | 0.026 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 1 | | matches | | 0 | "Ancient oak standing stones, weathered to a soft silver, marked the boundary of the clearing, their branches tangled in a canopy of leaves that shimmered like t…" |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 3 | | matches | | 0 | "Nyx whispered, their voice barely audible over the rustling of leaves" | | 1 | "they said, their voice carrying on the stillness" | | 2 | "Aurora asked, her voice barely above a whisper" |
| |
| 78.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | 0 | "Nyx whispered (whisper)" |
| | dialogueSentences | 14 | | tagDensity | 0.357 | | leniency | 0.714 | | rawRatio | 0.2 | | effectiveRatio | 0.143 | |