| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 1 | | adverbTags | | 0 | "Silas said softly [softly]" |
| | dialogueSentences | 50 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.05 | | effectiveRatio | 0.04 | |
| 87.83% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1644 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "softly" | | 2 | "suddenly" | | 3 | "utterly" |
| |
| 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) | |
| 48.30% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1644 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "flickered" | | 1 | "rhythmic" | | 2 | "scanned" | | 3 | "weight" | | 4 | "stark" | | 5 | "porcelain" | | 6 | "silk" | | 7 | "silence" | | 8 | "glinting" | | 9 | "stomach" | | 10 | "churn" | | 11 | "whisper" | | 12 | "familiar" | | 13 | "trembled" | | 14 | "gloom" | | 15 | "flicked" |
| |
| 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 | 1 | | narrationSentences | 114 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 114 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 144 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1643 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 67 | | wordCount | 1104 | | uniqueNames | 17 | | maxNameDensity | 1.72 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Julian" | | discoveredNames | | Rory | 19 | | Raven | 2 | | Nest | 2 | | Soho | 2 | | Tuesday | 1 | | Italian | 1 | | Severn | 1 | | Estuary | 1 | | Vance | 1 | | Bute | 1 | | Park | 1 | | Silas | 13 | | Julian | 18 | | Golden | 1 | | Empress | 1 | | London | 1 | | Suddenly | 1 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Vance" | | 4 | "Silas" | | 5 | "Julian" |
| | places | | 0 | "Soho" | | 1 | "Severn" | | 2 | "Estuary" | | 3 | "Bute" | | 4 | "Park" | | 5 | "London" |
| | globalScore | 0.639 | | windowScore | 0.333 | |
| 85.06% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a physical weight, a heavy ir" | | 1 | "felt like a vast, unbridgeable canyon" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1643 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 144 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 71 | | mean | 23.14 | | std | 16.04 | | cv | 0.693 | | sampleLengths | | 0 | 16 | | 1 | 41 | | 2 | 3 | | 3 | 3 | | 4 | 68 | | 5 | 55 | | 6 | 13 | | 7 | 1 | | 8 | 39 | | 9 | 8 | | 10 | 48 | | 11 | 14 | | 12 | 23 | | 13 | 36 | | 14 | 6 | | 15 | 4 | | 16 | 37 | | 17 | 26 | | 18 | 16 | | 19 | 16 | | 20 | 29 | | 21 | 31 | | 22 | 5 | | 23 | 13 | | 24 | 27 | | 25 | 20 | | 26 | 4 | | 27 | 45 | | 28 | 22 | | 29 | 23 | | 30 | 18 | | 31 | 2 | | 32 | 52 | | 33 | 36 | | 34 | 52 | | 35 | 17 | | 36 | 9 | | 37 | 21 | | 38 | 29 | | 39 | 6 | | 40 | 41 | | 41 | 36 | | 42 | 40 | | 43 | 41 | | 44 | 3 | | 45 | 9 | | 46 | 50 | | 47 | 9 | | 48 | 5 | | 49 | 50 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 114 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 177 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 144 | | ratio | 0.007 | | matches | | 0 | "She knew the scent of the paper without even trying—expensive sandalwood and the faint, chemical smell of a high-end fountain pen." |
| |
| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1116 | | adjectiveStacks | 3 | | stackExamples | | 0 | "small crescent-shaped scar," | | 1 | "familiar, precise, architectural script." | | 2 | "small, silver-plated flip-" |
| | adverbCount | 26 | | adverbRatio | 0.023297491039426525 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.008960573476702509 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 144 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 144 | | mean | 11.41 | | std | 8.24 | | cv | 0.722 | | sampleLengths | | 0 | 16 | | 1 | 3 | | 2 | 12 | | 3 | 26 | | 4 | 3 | | 5 | 3 | | 6 | 10 | | 7 | 15 | | 8 | 17 | | 9 | 26 | | 10 | 8 | | 11 | 8 | | 12 | 20 | | 13 | 19 | | 14 | 5 | | 15 | 8 | | 16 | 1 | | 17 | 23 | | 18 | 3 | | 19 | 13 | | 20 | 8 | | 21 | 4 | | 22 | 19 | | 23 | 13 | | 24 | 12 | | 25 | 7 | | 26 | 7 | | 27 | 11 | | 28 | 12 | | 29 | 3 | | 30 | 11 | | 31 | 17 | | 32 | 5 | | 33 | 6 | | 34 | 4 | | 35 | 8 | | 36 | 29 | | 37 | 6 | | 38 | 20 | | 39 | 16 | | 40 | 16 | | 41 | 13 | | 42 | 16 | | 43 | 31 | | 44 | 5 | | 45 | 7 | | 46 | 6 | | 47 | 8 | | 48 | 19 | | 49 | 20 |
| |
| 34.72% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 22 | | diversityRatio | 0.2777777777777778 | | totalSentences | 144 | | uniqueOpeners | 40 | |
| 34.36% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 97 | | matches | | 0 | "Suddenly, the green neon light" |
| | ratio | 0.01 | |
| 30.31% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 97 | | matches | | 0 | "She didn't flinch." | | 1 | "She sucked the copper-tasting wound" | | 2 | "It was a thick soup" | | 3 | "He looked out of place" | | 4 | "He scanned the room with" | | 5 | "His eyes locked onto Rory." | | 6 | "She didn't answer." | | 7 | "She gripped the damp rag" | | 8 | "He looked older, his face" | | 9 | "Her voice stayed flat, a" | | 10 | "He drifted behind the bar" | | 11 | "It was a silent inquiry." | | 12 | "He took in her Golden" | | 13 | "She leaned over the bar," | | 14 | "He gestured toward a quiet" | | 15 | "They sat in the dim" | | 16 | "He looked around the bar," | | 17 | "She thrust her wrist onto" | | 18 | "He stared at the small" | | 19 | "He placed a heavy glass" |
| | ratio | 0.474 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 93 | | totalSentences | 97 | | matches | | 0 | "The jagged edge of the" | | 1 | "She didn't flinch." | | 2 | "Crimson beads bloomed against the" | | 3 | "Silas watched from the end" | | 4 | "She sucked the copper-tasting wound" | | 5 | "The Raven’s Nest hummed with" | | 6 | "It was a thick soup" | | 7 | "The distinctive green neon sign" | | 8 | "The heavy oak door groaned" | | 9 | "A man stepped in, shaking" | | 10 | "He looked out of place" | | 11 | "He scanned the room with" | | 12 | "His eyes locked onto Rory." | | 13 | "The blood in her veins" | | 14 | "The name felt like a" | | 15 | "She didn't answer." | | 16 | "She gripped the damp rag" | | 17 | "Julian Vance stepped closer." | | 18 | "He looked older, his face" | | 19 | "Her voice stayed flat, a" |
| | ratio | 0.959 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 97 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 3 | | matches | | 0 | "He was a messenger for a world that demanded her submission in exchange for comfort." | | 1 | "He wore a long black cashmere coat that hit him at the mid-calf." | | 2 | "The flame illuminated a face that was handsome, aristocratic, and utterly devoid of mercy." |
| |
| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 4 | | matches | | 0 | "Julian reached out, his hand hovering over the bar" | | 1 | "Julian insisted, his voice cracking" | | 2 | "Silas patted, the silver ring glinting" | | 3 | "Rory asked, her voice a ghost of itself" |
| |
| 30.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 6 | | fancyTags | | 0 | "Julian whispered (whisper)" | | 1 | "Rory corrected (correct)" | | 2 | "Julian insisted (insist)" | | 3 | "Julian muttered (mutter)" | | 4 | "Silas barked (bark)" | | 5 | "Rory whispered (whisper)" |
| | dialogueSentences | 50 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0.4 | | effectiveRatio | 0.24 | |