| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 85.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1372 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "suddenly" | | 1 | "slowly" | | 2 | "really" | | 3 | "slightly" |
| |
| 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) | |
| 48.98% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1372 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "silence" | | 1 | "sentinel" | | 2 | "familiar" | | 3 | "warmth" | | 4 | "chill" | | 5 | "marble" | | 6 | "measured" | | 7 | "weight" | | 8 | "unspoken" | | 9 | "navigate" | | 10 | "tracing" | | 11 | "clandestine" |
| |
| 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 | 159 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 159 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 159 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1372 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 6 | | matches | | 0 | "Rory, he said." | | 1 | "Cardiff is a long way from Soho, Silas said." | | 2 | "I left to escape Evan, she corrected, the name flat." | | 3 | "I made a promise, he said slowly." | | 4 | "Twenty-five is a long time to stay upright, Silas said." | | 5 | "Because some doors are meant to stay shut, he said quietly." |
| |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 1372 | | uniqueNames | 12 | | maxNameDensity | 1.24 | | worstName | "You" | | maxWindowNameDensity | 3 | | worstWindowName | "You" | | discoveredNames | | Soho | 4 | | Carter | 1 | | Raven | 1 | | Nest | 2 | | Blackwood | 1 | | Prague | 2 | | Empress | 1 | | Cardiff | 3 | | Silas | 7 | | Evan | 2 | | Rory | 3 | | You | 17 |
| | persons | | 0 | "Carter" | | 1 | "Blackwood" | | 2 | "Empress" | | 3 | "Silas" | | 4 | "Evan" | | 5 | "Rory" | | 6 | "You" |
| | places | | 0 | "Soho" | | 1 | "Raven" | | 2 | "Prague" | | 3 | "Cardiff" |
| | globalScore | 0.88 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 100 | | glossingSentenceCount | 1 | | matches | | 0 | "tasted like the past she’d left behind" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.729 | | wordCount | 1372 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 159 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 57.17 | | std | 38.07 | | cv | 0.666 | | sampleLengths | | 0 | 120 | | 1 | 131 | | 2 | 41 | | 3 | 24 | | 4 | 13 | | 5 | 69 | | 6 | 3 | | 7 | 26 | | 8 | 36 | | 9 | 78 | | 10 | 24 | | 11 | 74 | | 12 | 88 | | 13 | 73 | | 14 | 87 | | 15 | 27 | | 16 | 29 | | 17 | 65 | | 18 | 33 | | 19 | 69 | | 20 | 101 | | 21 | 18 | | 22 | 11 | | 23 | 132 |
| |
| 98.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 159 | | matches | | 0 | "kept" | | 1 | "were whispered" | | 2 | "were kept" | | 3 | "are meant" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 280 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 159 | | ratio | 0 | | matches | (empty) | |
| 92.25% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1381 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 58 | | adverbRatio | 0.041998551774076756 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.012309920347574221 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 159 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 159 | | mean | 8.63 | | std | 6.02 | | cv | 0.697 | | sampleLengths | | 0 | 22 | | 1 | 18 | | 2 | 29 | | 3 | 16 | | 4 | 18 | | 5 | 17 | | 6 | 6 | | 7 | 19 | | 8 | 17 | | 9 | 27 | | 10 | 2 | | 11 | 7 | | 12 | 24 | | 13 | 29 | | 14 | 2 | | 15 | 17 | | 16 | 8 | | 17 | 3 | | 18 | 11 | | 19 | 1 | | 20 | 3 | | 21 | 2 | | 22 | 10 | | 23 | 8 | | 24 | 2 | | 25 | 6 | | 26 | 3 | | 27 | 2 | | 28 | 11 | | 29 | 13 | | 30 | 6 | | 31 | 12 | | 32 | 13 | | 33 | 7 | | 34 | 7 | | 35 | 3 | | 36 | 2 | | 37 | 4 | | 38 | 6 | | 39 | 8 | | 40 | 2 | | 41 | 4 | | 42 | 3 | | 43 | 18 | | 44 | 7 | | 45 | 3 | | 46 | 3 | | 47 | 2 | | 48 | 7 | | 49 | 12 |
| |
| 42.98% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.3333333333333333 | | totalSentences | 159 | | uniqueOpeners | 53 | |
| 68.03% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 147 | | matches | | 0 | "Still watching the streets?" | | 1 | "Maybe I was tired of" | | 2 | "Just getting to twenty-five, and" |
| | ratio | 0.02 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 83 | | totalSentences | 147 | | matches | | 0 | "She shrugged off a damp" | | 1 | "She needed the dim hum" | | 2 | "She didn’t see him at" | | 3 | "He was usually behind the" | | 4 | "She hadn’t seen him in" | | 5 | "She had moved upstairs to" | | 6 | "His hazel eyes met hers," | | 7 | "He set down the tumbler" | | 8 | "She didn’t smile." | | 9 | "I didn’t know you ran" | | 10 | "He gestured vaguely toward the" | | 11 | "It’s quieter now." | | 12 | "She moved to the bar," | | 13 | "He poured two fingers of" | | 14 | "She knew better than to" | | 15 | "She took a sip." | | 16 | "It tasted like the past" | | 17 | "He limped to the opposite" | | 18 | "He hadn’t removed it in" | | 19 | "She looked down at her" |
| | ratio | 0.565 | |
| 68.84% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 115 | | totalSentences | 147 | | matches | | 0 | "The green neon sign buzzed" | | 1 | "Aurora Carter pushed through the" | | 2 | "The air inside the Raven’s" | | 3 | "She shrugged off a damp" | | 4 | "The flat above the bar" | | 5 | "She needed the dim hum" | | 6 | "She didn’t see him at" | | 7 | "He was usually behind the" | | 8 | "Tonight, he was near the" | | 9 | "The grey-streaked auburn of his" | | 10 | "She hadn’t seen him in" | | 11 | "She had moved upstairs to" | | 12 | "His hazel eyes met hers," | | 13 | "He set down the tumbler" | | 14 | "Rory, he said." | | 15 | "The name was rough at" | | 16 | "She didn’t smile." | | 17 | "The cool-headed composure she wore" | | 18 | "I didn’t know you ran" | | 19 | "He gestured vaguely toward the" |
| | ratio | 0.782 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 147 | | matches | | 0 | "Now she just kept her" | | 1 | "Because some doors are meant" | | 2 | "If I’d stepped in, you’d" |
| | ratio | 0.02 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 1 | | matches | | 0 | "Inside, two people who had survived their own ghosts sat at a bar, drinking whiskey, measuring the distance between who they were and who they’d become." |
| |
| 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 | |