| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.68% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 939 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 939 | | totalAiIsms | 30 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | word | "sent shivers down" | | count | 1 |
| | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "warmth" | | 1 | "familiar" | | 2 | "whisper" | | 3 | "loomed" | | 4 | "etched" | | 5 | "otherworldly" | | 6 | "dance" | | 7 | "scanning" | | 8 | "pulsed" | | 9 | "silence" | | 10 | "oppressive" | | 11 | "rhythmic" | | 12 | "raced" | | 13 | "tension" | | 14 | "palpable" | | 15 | "echoed" | | 16 | "sinister" | | 17 | "sent shivers down" | | 18 | "sense of" | | 19 | "searing" | | 20 | "pounding" |
| |
| 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 | 73 | | matches | | 0 | "y with warmth" | | 1 | "e with fear" |
| |
| 25.44% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 6 | | narrationSentences | 73 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 73 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 938 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 80.11% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 930 | | uniqueNames | 8 | | maxNameDensity | 1.4 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 1 | | Rory | 13 | | Richmond | 1 | | Park | 1 | | Fae | 2 | | Grove | 2 | | Heartstone | 4 | | Pendant | 4 |
| | persons | | 0 | "Carter" | | 1 | "Rory" | | 2 | "Pendant" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Grove" |
| | globalScore | 0.801 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 938 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 73 | | matches | (empty) | |
| 23.32% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 49.37 | | std | 11.43 | | cv | 0.232 | | sampleLengths | | 0 | 80 | | 1 | 55 | | 2 | 52 | | 3 | 59 | | 4 | 58 | | 5 | 50 | | 6 | 56 | | 7 | 40 | | 8 | 43 | | 9 | 34 | | 10 | 48 | | 11 | 45 | | 12 | 50 | | 13 | 56 | | 14 | 24 | | 15 | 57 | | 16 | 47 | | 17 | 37 | | 18 | 47 |
| |
| 95.65% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 73 | | matches | | 0 | "was, loomed" | | 1 | "was followed" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 168 | | matches | | 0 | "were being" | | 1 | "was seeing" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 73 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 931 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.03007518796992481 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.017185821697099892 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 73 | | echoCount | 0 | | echoWords | (empty) | |
| 68.16% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 73 | | mean | 12.85 | | std | 4.12 | | cv | 0.32 | | sampleLengths | | 0 | 21 | | 1 | 19 | | 2 | 16 | | 3 | 13 | | 4 | 11 | | 5 | 11 | | 6 | 13 | | 7 | 14 | | 8 | 17 | | 9 | 11 | | 10 | 9 | | 11 | 12 | | 12 | 20 | | 13 | 14 | | 14 | 20 | | 15 | 10 | | 16 | 15 | | 17 | 12 | | 18 | 12 | | 19 | 12 | | 20 | 9 | | 21 | 13 | | 22 | 11 | | 23 | 14 | | 24 | 11 | | 25 | 14 | | 26 | 16 | | 27 | 22 | | 28 | 18 | | 29 | 6 | | 30 | 11 | | 31 | 11 | | 32 | 12 | | 33 | 11 | | 34 | 10 | | 35 | 12 | | 36 | 10 | | 37 | 13 | | 38 | 9 | | 39 | 12 | | 40 | 16 | | 41 | 9 | | 42 | 9 | | 43 | 14 | | 44 | 14 | | 45 | 6 | | 46 | 17 | | 47 | 8 | | 48 | 6 | | 49 | 18 |
| |
| 41.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.2191780821917808 | | totalSentences | 73 | | uniqueOpeners | 16 | |
| 45.66% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 73 | | matches | | 0 | "Finally, she reached the car," |
| | ratio | 0.014 | |
| 83.01% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 73 | | matches | | 0 | "She clutched the Heartstone Pendant" | | 1 | "She had a feeling it" | | 2 | "Their branches reached out like" | | 3 | "She hadn't planned to come" | | 4 | "She took a deep breath" | | 5 | "She reached out a hand," | | 6 | "She stepped through the boundary," | | 7 | "She felt a growing unease," | | 8 | "She stopped and turned in" | | 9 | "she called out, her voice" | | 10 | "She took a step back," | | 11 | "It darted away, disappearing into" | | 12 | "Her heart raced, and she" | | 13 | "she demanded, her voice stronger" | | 14 | "She took a few cautious" | | 15 | "She felt a pull, a" | | 16 | "She moved closer to the" | | 17 | "She spun around, her eyes" | | 18 | "She backed away, bumping into" | | 19 | "It moved with a fluid" |
| | ratio | 0.342 | |
| 1.10% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 73 | | matches | | 0 | "Aurora Carter, known to most" | | 1 | "The Fae Grove always felt" | | 2 | "She clutched the Heartstone Pendant" | | 3 | "The pendant, a gift from" | | 4 | "She had a feeling it" | | 5 | "The forest was dense and" | | 6 | "Their branches reached out like" | | 7 | "Rory’s breath misted in the" | | 8 | "She hadn't planned to come" | | 9 | "She took a deep breath" | | 10 | "The path was familiar, but" | | 11 | "The usual rustling of leaves" | | 12 | "The only sound was the" | | 13 | "The stones, each taller than" | | 14 | "She reached out a hand," | | 15 | "The air here was thick" | | 16 | "She stepped through the boundary," | | 17 | "The air grew warmer, and" | | 18 | "The grove was a hidden" | | 19 | "An hour inside could be" |
| | ratio | 0.918 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 1 | | matches | | 0 | "The grove seemed to close in around her, the trees leaning in, their branches swaying as if in a silent, malevolent dance." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 3 | | matches | | 0 | "she called out, her voice barely a whisper" | | 1 | "she demanded, her voice stronger this time" | | 2 | "Rory asked, her voice shaking" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she called out (call out)" | | 1 | "she demanded (demand)" |
| | dialogueSentences | 3 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0.667 | | effectiveRatio | 0.667 | |