| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1269 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 48.78% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1269 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "chill" | | 1 | "eyebrow" | | 2 | "stark" | | 3 | "crystal" | | 4 | "weight" | | 5 | "familiar" | | 6 | "traced" | | 7 | "whisper" | | 8 | "flickered" | | 9 | "measured" |
| |
| 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 | 69 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 69 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1269 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 722 | | uniqueNames | 6 | | maxNameDensity | 3.32 | | worstName | "Silas" | | maxWindowNameDensity | 5 | | worstWindowName | "Silas" | | discoveredNames | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Blackwood | 1 | | Arthur | 19 | | Silas | 24 |
| | persons | | 0 | "Blackwood" | | 1 | "Arthur" | | 2 | "Silas" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | 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 | 1269 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 101 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 74 | | mean | 17.15 | | std | 12.81 | | cv | 0.747 | | sampleLengths | | 0 | 82 | | 1 | 6 | | 2 | 47 | | 3 | 5 | | 4 | 39 | | 5 | 1 | | 6 | 8 | | 7 | 33 | | 8 | 2 | | 9 | 26 | | 10 | 26 | | 11 | 3 | | 12 | 10 | | 13 | 6 | | 14 | 19 | | 15 | 13 | | 16 | 13 | | 17 | 9 | | 18 | 23 | | 19 | 18 | | 20 | 9 | | 21 | 13 | | 22 | 10 | | 23 | 31 | | 24 | 15 | | 25 | 12 | | 26 | 10 | | 27 | 7 | | 28 | 23 | | 29 | 11 | | 30 | 17 | | 31 | 18 | | 32 | 35 | | 33 | 19 | | 34 | 8 | | 35 | 5 | | 36 | 28 | | 37 | 17 | | 38 | 43 | | 39 | 15 | | 40 | 14 | | 41 | 11 | | 42 | 29 | | 43 | 16 | | 44 | 8 | | 45 | 21 | | 46 | 20 | | 47 | 22 | | 48 | 11 | | 49 | 6 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 69 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 117 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 101 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 726 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 4 | | adverbRatio | 0.005509641873278237 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0013774104683195593 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 12.56 | | std | 8.21 | | cv | 0.654 | | sampleLengths | | 0 | 17 | | 1 | 17 | | 2 | 10 | | 3 | 12 | | 4 | 26 | | 5 | 6 | | 6 | 12 | | 7 | 13 | | 8 | 22 | | 9 | 5 | | 10 | 5 | | 11 | 22 | | 12 | 12 | | 13 | 1 | | 14 | 8 | | 15 | 4 | | 16 | 20 | | 17 | 9 | | 18 | 2 | | 19 | 6 | | 20 | 20 | | 21 | 7 | | 22 | 4 | | 23 | 15 | | 24 | 3 | | 25 | 10 | | 26 | 6 | | 27 | 6 | | 28 | 13 | | 29 | 13 | | 30 | 13 | | 31 | 9 | | 32 | 9 | | 33 | 14 | | 34 | 18 | | 35 | 9 | | 36 | 13 | | 37 | 10 | | 38 | 31 | | 39 | 15 | | 40 | 12 | | 41 | 10 | | 42 | 7 | | 43 | 23 | | 44 | 11 | | 45 | 17 | | 46 | 9 | | 47 | 9 | | 48 | 35 | | 49 | 11 |
| |
| 49.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.24752475247524752 | | totalSentences | 101 | | uniqueOpeners | 25 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 67 | | matches | | 0 | "His silver signet ring clinked" | | 1 | "He wore a trench coat" | | 2 | "His gait was uneven, favoring" | | 3 | "He pulled out a stool" | | 4 | "He poured a generous measure" | | 5 | "His knuckles shone white." | | 6 | "He brought the rim to" | | 7 | "He swirled the liquid, watching" | | 8 | "He gestured around the room," | | 9 | "He traced the rim with" | | 10 | "His shoulders slumped, the sudden" | | 11 | "He pulled out a crumpled" | | 12 | "He reached across the bar" | | 13 | "His grip was weak, his" | | 14 | "His chest heaved with dry," | | 15 | "He dragged his left leg," | | 16 | "He stopped beside Arthur's stool" |
| | ratio | 0.254 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 67 | | matches | | 0 | "The green neon sign above" | | 1 | "Silas Blackwood dragged a linen" | | 2 | "His silver signet ring clinked" | | 3 | "The heavy oak door groaned" | | 4 | "A man stepped out of" | | 5 | "Water dripped from the brim" | | 6 | "He wore a trench coat" | | 7 | "Silas stopped wiping the counter." | | 8 | "The stranger lifted his head." | | 9 | "A jagged scar cut through" | | 10 | "Silas tossed the linen cloth" | | 11 | "Arthur approached the counter." | | 12 | "His gait was uneven, favoring" | | 13 | "He pulled out a stool" | | 14 | "Silas reached for the top" | | 15 | "He poured a generous measure" | | 16 | "Arthur wrapped both hands around" | | 17 | "His knuckles shone white." | | 18 | "He brought the rim to" | | 19 | "Silas leaned against the back" |
| | ratio | 0.955 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 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 | |