| 82.35% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 2 | | adverbTags | | 0 | "Aurora finally said [finally]" | | 1 | "He gestured briefly [briefly]" |
| | dialogueSentences | 34 | | tagDensity | 0.294 | | leniency | 0.588 | | rawRatio | 0.2 | | effectiveRatio | 0.118 | |
| 75.68% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1028 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "softly" | | 1 | "sharply" | | 2 | "very" |
| |
| 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) | |
| 27.04% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1028 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "scanned" | | 1 | "familiar" | | 2 | "flicked" | | 3 | "tension" | | 4 | "weight" | | 5 | "traced" | | 6 | "silence" | | 7 | "warmth" | | 8 | "flickered" | | 9 | "sanctuary" | | 10 | "unreadable" | | 11 | "glinting" | | 12 | "unspoken" | | 13 | "flicker" |
| |
| 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 | 59 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 59 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 83 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1024 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 705 | | uniqueNames | 8 | | maxNameDensity | 1.42 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Simon" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Carter | 1 | | Silas | 6 | | Blackwood | 1 | | Cardiff | 1 | | Simon | 8 | | Aurora | 10 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Silas" | | 4 | "Blackwood" | | 5 | "Simon" | | 6 | "Aurora" |
| | places | | | globalScore | 0.791 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | 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 | 1024 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 83 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 24.98 | | std | 15.54 | | cv | 0.622 | | sampleLengths | | 0 | 75 | | 1 | 73 | | 2 | 65 | | 3 | 26 | | 4 | 33 | | 5 | 36 | | 6 | 13 | | 7 | 27 | | 8 | 26 | | 9 | 30 | | 10 | 15 | | 11 | 22 | | 12 | 22 | | 13 | 18 | | 14 | 11 | | 15 | 34 | | 16 | 28 | | 17 | 24 | | 18 | 10 | | 19 | 20 | | 20 | 22 | | 21 | 14 | | 22 | 39 | | 23 | 11 | | 24 | 21 | | 25 | 24 | | 26 | 14 | | 27 | 12 | | 28 | 34 | | 29 | 11 | | 30 | 8 | | 31 | 13 | | 32 | 36 | | 33 | 18 | | 34 | 36 | | 35 | 18 | | 36 | 6 | | 37 | 16 | | 38 | 20 | | 39 | 16 | | 40 | 27 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 59 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 126 | | matches | (empty) | |
| 74.01% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 83 | | ratio | 0.024 | | matches | | 0 | "A figure sat at the end of the bar – taller than she'd remembered, someone she hadn’t expected to see tonight." | | 1 | "The scar on her wrist twitched involuntarily as she absently brushed her sleeve over it—a crescent-shaped monument to innocence lost long ago." |
| |
| 89.67% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 709 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.04936530324400564 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.022566995768688293 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 83 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 83 | | mean | 12.34 | | std | 8.05 | | cv | 0.653 | | sampleLengths | | 0 | 42 | | 1 | 19 | | 2 | 14 | | 3 | 15 | | 4 | 39 | | 5 | 19 | | 6 | 9 | | 7 | 21 | | 8 | 2 | | 9 | 5 | | 10 | 28 | | 11 | 9 | | 12 | 17 | | 13 | 18 | | 14 | 15 | | 15 | 4 | | 16 | 14 | | 17 | 13 | | 18 | 5 | | 19 | 8 | | 20 | 5 | | 21 | 3 | | 22 | 24 | | 23 | 12 | | 24 | 14 | | 25 | 10 | | 26 | 20 | | 27 | 15 | | 28 | 22 | | 29 | 16 | | 30 | 6 | | 31 | 6 | | 32 | 12 | | 33 | 3 | | 34 | 8 | | 35 | 12 | | 36 | 22 | | 37 | 15 | | 38 | 13 | | 39 | 24 | | 40 | 10 | | 41 | 4 | | 42 | 16 | | 43 | 6 | | 44 | 16 | | 45 | 8 | | 46 | 6 | | 47 | 13 | | 48 | 18 | | 49 | 8 |
| |
| 49.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3373493975903614 | | totalSentences | 83 | | uniqueOpeners | 28 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 89.09% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 55 | | matches | | 0 | "She pulled her jacket tighter" | | 1 | "She scanned the room briefly," | | 2 | "Her voice was quieter than" | | 3 | "He turned, surprise flickering behind" | | 4 | "She swallowed, memories rushing." | | 5 | "He nodded, the crease between" | | 6 | "Her bright blue eyes searched" | | 7 | "Her words hung with a" | | 8 | "she said, voice low" | | 9 | "His eyes flickered." | | 10 | "She laughed softly and glanced" | | 11 | "Her eyes drifted to the" | | 12 | "She remembered those countless nights" | | 13 | "She caught the flicker of" | | 14 | "she asked, voice steady" | | 15 | "He gestured briefly at the" | | 16 | "She studied him." | | 17 | "He smiled wryly." |
| | ratio | 0.327 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 55 | | matches | | 0 | "The Raven’s Nest hummed with" | | 1 | "Aurora Carter slid through the" | | 2 | "She pulled her jacket tighter" | | 3 | "She scanned the room briefly," | | 4 | "The barkeep, Silas Blackwood, was" | | 5 | "That limp of his was" | | 6 | "Aurora’s gaze shifted beyond Silas," | | 7 | "A figure sat at the" | | 8 | "A sharp flick of recognition." | | 9 | "The same dark hair, but" | | 10 | "The name escaped before she" | | 11 | "Her voice was quieter than" | | 12 | "He turned, surprise flickering behind" | | 13 | "The old nickname hung between" | | 14 | "She swallowed, memories rushing." | | 15 | "The girl who fled Cardiff," | | 16 | "He nodded, the crease between" | | 17 | "The silence grew." | | 18 | "Aurora finally said, shifting on" | | 19 | "Her bright blue eyes searched" |
| | ratio | 0.964 | |
| 90.91% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 55 | | matches | | 0 | "Now a woman who’d carried" |
| | ratio | 0.018 | |
| 89.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 2 | | matches | | 0 | "The Raven’s Nest hummed with the low murmur of late-night patrons and the clink of glasses, the green neon sign flickering softly above the entrance, casting a …" | | 1 | "The barkeep, Silas Blackwood, was at the far end, polished glass in hand, his grey-streaked auburn hair catching the dim lights while his hazel eyes flicked ove…" |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 4 | | matches | | 0 | "she said, voice low" | | 1 | "Simon asked, voice barely above the murmurs flowing through the bar" | | 2 | "she asked, voice steady" | | 3 | "The way his eyes locked, unguarded" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | 0 | "Aurora whispered (whisper)" |
| | dialogueSentences | 34 | | tagDensity | 0.147 | | leniency | 0.294 | | rawRatio | 0.2 | | effectiveRatio | 0.059 | |