| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 914 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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 | 914 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | word | "down her spine" | | count | 1 |
| | 17 | |
| | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "echo" | | 3 | "loomed" | | 4 | "chill" | | 5 | "tension" | | 6 | "dance" | | 7 | "tracing" | | 8 | "pounding" | | 9 | "echoed" | | 10 | "silence" | | 11 | "scanning" | | 12 | "could feel" | | 13 | "whisper" | | 14 | "racing" | | 15 | "comforting" | | 16 | "down her spine" | | 17 | "looming" |
| |
| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "heart pounded in chest" | | count | 1 |
| | 1 | | label | "air was thick with" | | count | 1 |
| | 2 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "heart pounded in her chest" | | 1 | "The air was heavy with" | | 2 | "sent a shiver down" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 77 | | matches | | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 11 | | narrationSentences | 77 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 80 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 914 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 875 | | uniqueNames | 9 | | maxNameDensity | 0.91 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | London | 2 | | Aurora | 2 | | Carter | 2 | | Richmond | 1 | | Park | 1 | | October | 1 | | Fae | 3 | | Grove | 1 | | Rory | 8 |
| | persons | | 0 | "Aurora" | | 1 | "Carter" | | 2 | "Rory" |
| | places | | 0 | "London" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "Fae" | | 4 | "Grove" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 4 | | matches | | 0 | "warmth that seemed to echo her own heartbeat" | | 1 | "it was as if the grove itself held its breath, waiting" | | 2 | "wind that seemed to seep into her bones" | | 3 | "eyes that seemed to glow in the darkness" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 914 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 80 | | matches | (empty) | |
| 52.73% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 18 | | mean | 50.78 | | std | 16.99 | | cv | 0.335 | | sampleLengths | | 0 | 83 | | 1 | 72 | | 2 | 61 | | 3 | 51 | | 4 | 37 | | 5 | 72 | | 6 | 52 | | 7 | 58 | | 8 | 57 | | 9 | 43 | | 10 | 46 | | 11 | 21 | | 12 | 66 | | 13 | 48 | | 14 | 43 | | 15 | 12 | | 16 | 41 | | 17 | 51 |
| |
| 91.59% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 77 | | matches | | 0 | "was drawn" | | 1 | "was gone" | | 2 | "was filled" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 162 | | matches | | 0 | "was playing" | | 1 | "was letting" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 80 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 39 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 0 | | adverbRatio | 0 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 80 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 80 | | mean | 11.43 | | std | 5.72 | | cv | 0.501 | | sampleLengths | | 0 | 24 | | 1 | 17 | | 2 | 17 | | 3 | 25 | | 4 | 20 | | 5 | 10 | | 6 | 11 | | 7 | 17 | | 8 | 14 | | 9 | 20 | | 10 | 18 | | 11 | 23 | | 12 | 5 | | 13 | 6 | | 14 | 7 | | 15 | 3 | | 16 | 4 | | 17 | 16 | | 18 | 10 | | 19 | 6 | | 20 | 11 | | 21 | 13 | | 22 | 7 | | 23 | 10 | | 24 | 10 | | 25 | 7 | | 26 | 5 | | 27 | 12 | | 28 | 14 | | 29 | 14 | | 30 | 6 | | 31 | 11 | | 32 | 18 | | 33 | 17 | | 34 | 9 | | 35 | 14 | | 36 | 12 | | 37 | 17 | | 38 | 3 | | 39 | 3 | | 40 | 10 | | 41 | 12 | | 42 | 10 | | 43 | 9 | | 44 | 16 | | 45 | 11 | | 46 | 10 | | 47 | 8 | | 48 | 9 | | 49 | 5 |
| |
| 33.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.25 | | totalSentences | 80 | | uniqueOpeners | 20 | |
| 43.86% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 76 | | matches | | 0 | "Usually, it hummed with life," |
| | ratio | 0.013 | |
| 25.26% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 76 | | matches | | 0 | "Her heartstone pendant, a deep" | | 1 | "She'd been here countless times," | | 2 | "She leaned her bike against" | | 3 | "She walked deeper into the" | | 4 | "Her voice echoed in the" | | 5 | "She was alone." | | 6 | "She took a step back," | | 7 | "She turned back, her eyes" | | 8 | "She was letting her imagination" | | 9 | "It was tall, too tall" | | 10 | "It seemed to be watching" | | 11 | "She took a step back," | | 12 | "She could feel it, a" | | 13 | "She turned to run, but" | | 14 | "She was Aurora Carter, cool-headed," | | 15 | "She wouldn't panic." | | 16 | "She wouldn't run." | | 17 | "She took a deep breath," | | 18 | "She reached up, her fingers" | | 19 | "It pulsed warm against her" |
| | ratio | 0.487 | |
| 32.37% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 76 | | matches | | 0 | "Her heartstone pendant, a deep" | | 1 | "The ancient oak standing stones" | | 2 | "Rory slowed her bike, her" | | 3 | "She'd been here countless times," | | 4 | "The wildflowers that usually bloomed" | | 5 | "The air was heavy with" | | 6 | "She leaned her bike against" | | 7 | "The moon cast dappled shadows" | | 8 | "She walked deeper into the" | | 9 | "A twig snapped behind her." | | 10 | "Rory spun around, her heart" | | 11 | "Her voice echoed in the" | | 12 | "She was alone." | | 13 | "A faint rustling came from" | | 14 | "She took a step back," | | 15 | "The grove was never this" | | 16 | "She turned back, her eyes" | | 17 | "The grove was playing tricks" | | 18 | "She was letting her imagination" | | 19 | "A figure, standing by the" |
| | ratio | 0.855 | |
| 65.79% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 76 | | matches | | | ratio | 0.013 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 5 | | matches | | 0 | "Her heartstone pendant, a deep crimson gem on a silver chain, pulsed faintly against her chest, a warmth that seemed to echo her own heartbeat." | | 1 | "But tonight, it was as if the grove itself held its breath, waiting." | | 2 | "It seemed to be watching her, its eyes reflecting the moonlight like a cat's." | | 3 | "She was Aurora Carter, cool-headed, intelligent, the girl who'd left an abusive ex and fled to London." | | 4 | "Shadows darted between the trees, the wildflowers bloomed in a riot of color, their petals opening wide, revealing eyes that seemed to glow in the darkness." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, her voice steady" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "it whispered (whisper)" |
| | dialogueSentences | 6 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.5 | | effectiveRatio | 0.333 | |