| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 30 | | adverbTagCount | 3 | | adverbTags | | 0 | "He leaned back [back]" | | 1 | "Ben looked around [around]" | | 2 | "Ben stood again [again]" |
| | dialogueSentences | 106 | | tagDensity | 0.283 | | leniency | 0.566 | | rawRatio | 0.1 | | effectiveRatio | 0.057 | |
| 91.62% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1193 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 45.52% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1193 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "weight" | | 1 | "scanned" | | 2 | "echoed" | | 3 | "crystal" | | 4 | "silence" | | 5 | "unspoken" | | 6 | "traced" | | 7 | "potential" | | 8 | "predictable" | | 9 | "throbbed" | | 10 | "warmth" |
| |
| 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 | 151 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 151 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 227 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 17 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1193 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 812 | | uniqueNames | 13 | | maxNameDensity | 3.08 | | worstName | "Ben" | | maxWindowNameDensity | 6.5 | | worstWindowName | "Ben" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Water | 1 | | Law | 1 | | Society | 1 | | Calloused | 1 | | Ben | 25 | | Maps | 1 | | Spymaster | 1 | | Evan | 1 | | Knuckles | 1 | | Silas | 13 | | Rory | 9 |
| | persons | | 0 | "Water" | | 1 | "Ben" | | 2 | "Spymaster" | | 3 | "Evan" | | 4 | "Silas" | | 5 | "Rory" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1193 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 227 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 114 | | mean | 10.46 | | std | 10.15 | | cv | 0.97 | | sampleLengths | | 0 | 38 | | 1 | 41 | | 2 | 21 | | 3 | 29 | | 4 | 4 | | 5 | 3 | | 6 | 37 | | 7 | 4 | | 8 | 48 | | 9 | 10 | | 10 | 22 | | 11 | 16 | | 12 | 6 | | 13 | 27 | | 14 | 6 | | 15 | 22 | | 16 | 27 | | 17 | 13 | | 18 | 2 | | 19 | 32 | | 20 | 1 | | 21 | 6 | | 22 | 40 | | 23 | 12 | | 24 | 6 | | 25 | 6 | | 26 | 4 | | 27 | 22 | | 28 | 22 | | 29 | 8 | | 30 | 1 | | 31 | 13 | | 32 | 3 | | 33 | 2 | | 34 | 14 | | 35 | 11 | | 36 | 13 | | 37 | 5 | | 38 | 17 | | 39 | 2 | | 40 | 10 | | 41 | 1 | | 42 | 9 | | 43 | 3 | | 44 | 14 | | 45 | 1 | | 46 | 4 | | 47 | 19 | | 48 | 13 | | 49 | 6 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 151 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 163 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 227 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 813 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.017220172201722016 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.007380073800738007 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 227 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 227 | | mean | 5.26 | | std | 3.12 | | cv | 0.593 | | sampleLengths | | 0 | 9 | | 1 | 13 | | 2 | 5 | | 3 | 11 | | 4 | 14 | | 5 | 7 | | 6 | 9 | | 7 | 11 | | 8 | 4 | | 9 | 17 | | 10 | 9 | | 11 | 12 | | 12 | 8 | | 13 | 4 | | 14 | 3 | | 15 | 4 | | 16 | 11 | | 17 | 7 | | 18 | 3 | | 19 | 12 | | 20 | 4 | | 21 | 8 | | 22 | 12 | | 23 | 7 | | 24 | 9 | | 25 | 12 | | 26 | 2 | | 27 | 8 | | 28 | 4 | | 29 | 7 | | 30 | 4 | | 31 | 7 | | 32 | 4 | | 33 | 3 | | 34 | 6 | | 35 | 3 | | 36 | 5 | | 37 | 1 | | 38 | 3 | | 39 | 6 | | 40 | 4 | | 41 | 4 | | 42 | 6 | | 43 | 3 | | 44 | 1 | | 45 | 6 | | 46 | 7 | | 47 | 5 | | 48 | 10 | | 49 | 9 |
| |
| 44.35% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.32158590308370044 | | totalSentences | 227 | | uniqueOpeners | 73 | |
| 52.08% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 128 | | matches | | 0 | "Then she saw him." | | 1 | "Just a calculation." |
| | ratio | 0.016 | |
| 38.75% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 58 | | totalSentences | 128 | | matches | | 0 | "His hazel eyes lifted, catching" | | 1 | "He nodded once, a sharp" | | 2 | "His knee clicked as he" | | 3 | "His voice dropped an octave," | | 4 | "She peeled off her yellow" | | 5 | "She scanned the room." | | 6 | "He wore a charcoal suit" | | 7 | "His hair was shorter than" | | 8 | "He held a tumbler of" | | 9 | "He swirled the ice." | | 10 | "She walked toward him." | | 11 | "His hand hovered over the" | | 12 | "He watched, unblinking." | | 13 | "He stopped moving." | | 14 | "He looked up slowly." | | 15 | "His eyes didn't widen." | | 16 | "He set the tumbler down" | | 17 | "She slid into the chair" | | 18 | "Her knees bumped his table" | | 19 | "It didn't reach his eyes." |
| | ratio | 0.453 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 121 | | totalSentences | 128 | | matches | | 0 | "The green neon sign buzzed" | | 1 | "Rory pushed the door open." | | 2 | "The bell jangled, cutting through" | | 3 | "Silas stood behind the polished" | | 4 | "His hazel eyes lifted, catching" | | 5 | "He nodded once, a sharp" | | 6 | "His knee clicked as he" | | 7 | "His voice dropped an octave," | | 8 | "She peeled off her yellow" | | 9 | "Water ran down the sleeves," | | 10 | "She scanned the room." | | 11 | "The photographs were black and" | | 12 | "Tables were sparse." | | 13 | "A couple of men argued" | | 14 | "Ben sat in the corner" | | 15 | "He wore a charcoal suit" | | 16 | "The fabric pulled tight across" | | 17 | "His hair was shorter than" | | 18 | "The water bottle in her" | | 19 | "Ben didn't look up." |
| | ratio | 0.945 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 128 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 13 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 30 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 3 | | fancyTags | | 0 | "Ben laughed (laugh)" | | 1 | "He corrected (correct)" | | 2 | "Ben pressed (press)" |
| | dialogueSentences | 106 | | tagDensity | 0.066 | | leniency | 0.132 | | rawRatio | 0.429 | | effectiveRatio | 0.057 | |