| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 81.62% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1088 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "utterly" | | 2 | "slowly" |
| |
| 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 | 1088 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "profound" | | 1 | "warmth" | | 2 | "gloom" | | 3 | "silence" | | 4 | "predator" | | 5 | "scanned" | | 6 | "perfect" | | 7 | "pulse" | | 8 | "grave" | | 9 | "oppressive" | | 10 | "weight" | | 11 | "scanning" | | 12 | "sentinels" | | 13 | "flicker" | | 14 | "facade" | | 15 | "pristine" | | 16 | "mechanical" | | 17 | "could feel" | | 18 | "whisper" |
| |
| 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 | 2 | | narrationSentences | 103 | | matches | | 0 | "e with warmth" | | 1 | "was nervous" |
| |
| 73.51% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 5 | | narrationSentences | 103 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 104 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 6 | | totalWords | 1085 | | ratio | 0.006 | | matches | | 0 | "Click." | | 1 | "Click. Tock." | | 2 | "Click-tock. Click-tock." | | 3 | "was" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 1 | | matches | | 0 | "Probably just a twig snapping under its own weight, she told herself." |
| |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 5 | | wordCount | 1084 | | uniqueNames | 4 | | maxNameDensity | 0.18 | | worstName | "Grove" | | maxWindowNameDensity | 0.5 | | worstWindowName | "Grove" | | discoveredNames | | Fae | 1 | | Grove | 2 | | Heartstone | 1 | | Pendant | 1 |
| | persons | (empty) | | places | | | globalScore | 1 | | windowScore | 1 | |
| 74.24% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 2 | | matches | | 0 | "wildflowers that seemed to drink the moonlight, their colours muted but distinct in the gloom" | | 1 | "something like overripe fruit on the edge of" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1085 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 104 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 49.32 | | std | 36.64 | | cv | 0.743 | | sampleLengths | | 0 | 65 | | 1 | 91 | | 2 | 81 | | 3 | 85 | | 4 | 9 | | 5 | 1 | | 6 | 73 | | 7 | 73 | | 8 | 2 | | 9 | 98 | | 10 | 7 | | 11 | 63 | | 12 | 75 | | 13 | 2 | | 14 | 73 | | 15 | 61 | | 16 | 3 | | 17 | 3 | | 18 | 84 | | 19 | 40 | | 20 | 1 | | 21 | 95 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 103 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 164 | | matches | | 0 | "was watching" | | 1 | "was being" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 104 | | ratio | 0 | | matches | (empty) | |
| 86.78% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1087 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small, crescent-shaped scar" | | 1 | "single, brilliant blue eye," |
| | adverbCount | 45 | | adverbRatio | 0.04139834406623735 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.015639374425023 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 104 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 104 | | mean | 10.43 | | std | 6.67 | | cv | 0.64 | | sampleLengths | | 0 | 21 | | 1 | 17 | | 2 | 17 | | 3 | 10 | | 4 | 19 | | 5 | 3 | | 6 | 3 | | 7 | 7 | | 8 | 8 | | 9 | 27 | | 10 | 5 | | 11 | 19 | | 12 | 11 | | 13 | 13 | | 14 | 4 | | 15 | 16 | | 16 | 5 | | 17 | 13 | | 18 | 13 | | 19 | 6 | | 20 | 17 | | 21 | 3 | | 22 | 1 | | 23 | 8 | | 24 | 19 | | 25 | 21 | | 26 | 16 | | 27 | 9 | | 28 | 1 | | 29 | 12 | | 30 | 1 | | 31 | 16 | | 32 | 5 | | 33 | 5 | | 34 | 12 | | 35 | 12 | | 36 | 5 | | 37 | 5 | | 38 | 12 | | 39 | 14 | | 40 | 7 | | 41 | 23 | | 42 | 17 | | 43 | 1 | | 44 | 1 | | 45 | 5 | | 46 | 3 | | 47 | 14 | | 48 | 12 | | 49 | 10 |
| |
| 44.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3269230769230769 | | totalSentences | 104 | | uniqueOpeners | 34 | |
| 70.18% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 95 | | matches | | 0 | "Just the stoic, dark shapes" | | 1 | "Probably just a twig snapping" |
| | ratio | 0.021 | |
| 68.42% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 95 | | matches | | 0 | "It leeched the warmth from" | | 1 | "She took a hesitant step" | | 2 | "It looked nothing like she" | | 3 | "It was just a circle" | | 4 | "She scanned the clearing." | | 5 | "It was a sterile, perfect" | | 6 | "It was inert." | | 7 | "She froze, her head snapping" | | 8 | "She held her breath, listening." | | 9 | "She forced herself to move," | | 10 | "Her purpose was to find" | | 11 | "She kept her eyes moving," | | 12 | "It was closer this time." | | 13 | "It was a silly, domestic" | | 14 | "It made the hairs on" | | 15 | "Her common sense warred with" | | 16 | "She sidestepped, keeping the stone" | | 17 | "She was being foolish." | | 18 | "It was a beetle, or" | | 19 | "She spun around, her body" |
| | ratio | 0.379 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 95 | | matches | | 0 | "The ancient oak felt dead" | | 1 | "It leeched the warmth from" | | 2 | "Aurora pulled her hand back" | | 3 | "She took a hesitant step" | | 4 | "This was it." | | 5 | "The Fae Grove." | | 6 | "It looked nothing like she" | | 7 | "It was just a circle" | | 8 | "A silence so absolute it" | | 9 | "Another step, and a scent," | | 10 | "Honeysuckle and something else, something" | | 11 | "She scanned the clearing." | | 12 | "Bluebells, foxgloves, and primroses grew" | | 13 | "It was a sterile, perfect" | | 14 | "A painting that was watching" | | 15 | "Aurora’s hand went to her" | | 16 | "It was inert." | | 17 | "A simple crimson stone on" | | 18 | "The note had promised it" | | 19 | "Here, at the heart of" |
| | ratio | 0.8 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 95 | | matches | | 0 | "Yet, something was deeply wrong." | | 1 | "To her left." |
| | ratio | 0.021 | |
| 72.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 5 | | matches | | 0 | "It was just a circle of monolithic stones and a carpet of wildflowers that seemed to drink the moonlight, their colours muted but distinct in the gloom." | | 1 | "She kept her eyes moving, scanning the perimeter, refusing to fixate on the shadows that clung to the base of the oak sentinels." | | 2 | "It circled the clearing with her, always just out of sight, a dry, mechanical tempo that mocked the organic silence." | | 3 | "She could feel a gaze on the back of her neck, an ancient, alien curiosity that was devoid of anything resembling warmth or empathy." | | 4 | "It was tall and unnaturally thin, its limbs too long, its joints bent at angles that were subtly, horribly wrong." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |