| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 29 | | adverbTagCount | 2 | | adverbTags | | 0 | "Eva glanced frantically [frantically]" | | 1 | "Eva shrank away [away]" |
| | dialogueSentences | 66 | | tagDensity | 0.439 | | leniency | 0.879 | | rawRatio | 0.069 | | effectiveRatio | 0.061 | |
| 93.36% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1506 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 36.92% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1506 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "gloom" | | 1 | "scanned" | | 2 | "trembled" | | 3 | "footsteps" | | 4 | "echoing" | | 5 | "silk" | | 6 | "etched" | | 7 | "fascinating" | | 8 | "standard" | | 9 | "long shadow" | | 10 | "pulsed" | | 11 | "chill" | | 12 | "aftermath" | | 13 | "silence" | | 14 | "searing" | | 15 | "shattered" | | 16 | "hulking" |
| |
| 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 | 106 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 106 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 143 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1496 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 1076 | | uniqueNames | 4 | | maxNameDensity | 1.12 | | worstName | "Miller" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Eva" | | discoveredNames | | Miller | 12 | | Victorian | 1 | | Camden | 1 | | Eva | 8 |
| | persons | | | places | (empty) | | globalScore | 0.942 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | 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 | 1496 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 143 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 68 | | mean | 22 | | std | 14.72 | | cv | 0.669 | | sampleLengths | | 0 | 24 | | 1 | 48 | | 2 | 32 | | 3 | 19 | | 4 | 20 | | 5 | 4 | | 6 | 4 | | 7 | 26 | | 8 | 12 | | 9 | 49 | | 10 | 27 | | 11 | 4 | | 12 | 22 | | 13 | 49 | | 14 | 22 | | 15 | 5 | | 16 | 12 | | 17 | 71 | | 18 | 13 | | 19 | 41 | | 20 | 6 | | 21 | 20 | | 22 | 43 | | 23 | 14 | | 24 | 17 | | 25 | 24 | | 26 | 11 | | 27 | 1 | | 28 | 30 | | 29 | 20 | | 30 | 21 | | 31 | 5 | | 32 | 16 | | 33 | 14 | | 34 | 6 | | 35 | 52 | | 36 | 19 | | 37 | 33 | | 38 | 18 | | 39 | 44 | | 40 | 17 | | 41 | 23 | | 42 | 2 | | 43 | 23 | | 44 | 4 | | 45 | 5 | | 46 | 28 | | 47 | 24 | | 48 | 23 | | 49 | 22 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 106 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 180 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 143 | | ratio | 0 | | matches | (empty) | |
| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1085 | | adjectiveStacks | 3 | | stackExamples | | 0 | "beautiful large old rectangular brown leather" | | 1 | "small antique round brass" | | 2 | "massive, obsidian-black claws" |
| | adverbCount | 25 | | adverbRatio | 0.02304147465437788 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.014746543778801843 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 143 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 143 | | mean | 10.46 | | std | 5.86 | | cv | 0.56 | | sampleLengths | | 0 | 10 | | 1 | 14 | | 2 | 6 | | 3 | 4 | | 4 | 1 | | 5 | 1 | | 6 | 15 | | 7 | 21 | | 8 | 17 | | 9 | 15 | | 10 | 19 | | 11 | 9 | | 12 | 11 | | 13 | 4 | | 14 | 4 | | 15 | 11 | | 16 | 15 | | 17 | 6 | | 18 | 6 | | 19 | 4 | | 20 | 13 | | 21 | 7 | | 22 | 12 | | 23 | 13 | | 24 | 21 | | 25 | 6 | | 26 | 4 | | 27 | 17 | | 28 | 5 | | 29 | 7 | | 30 | 5 | | 31 | 11 | | 32 | 5 | | 33 | 2 | | 34 | 8 | | 35 | 11 | | 36 | 18 | | 37 | 4 | | 38 | 5 | | 39 | 12 | | 40 | 15 | | 41 | 6 | | 42 | 5 | | 43 | 11 | | 44 | 8 | | 45 | 9 | | 46 | 8 | | 47 | 9 | | 48 | 10 | | 49 | 3 |
| |
| 70.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.46153846153846156 | | totalSentences | 143 | | uniqueOpeners | 66 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 98 | | matches | (empty) | | ratio | 0 | |
| 40.41% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 44 | | totalSentences | 98 | | matches | | 0 | "I lifted the plastic barrier" | | 1 | "I smoothed my closely cropped" | | 2 | "I catalogued the space with" | | 3 | "I scanned the abandoned Camden" | | 4 | "I studied the witness." | | 5 | "She possessed curly red hair," | | 6 | "She wore sensible flat black" | | 7 | "Her hands trembled as she" | | 8 | "I tapped the face of" | | 9 | "I approached the body, my" | | 10 | "I pulled back the crinkled" | | 11 | "His neck showed massive trauma." | | 12 | "I pointed at the dry" | | 13 | "I knelt closer to the" | | 14 | "I shifted my light down" | | 15 | "His right hand remained clenched" | | 16 | "I pried his cold fingers" | | 17 | "He died tracking these exact" | | 18 | "I slipped a latex glove" | | 19 | "I stood up and walked" |
| | ratio | 0.449 | |
| 0.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 98 | | matches | | 0 | "I lifted the plastic barrier" | | 1 | "Drip-drop went the leaking pipes" | | 2 | "Copper stung my nostrils." | | 3 | "I smoothed my closely cropped" | | 4 | "I catalogued the space with" | | 5 | "DS Miller stood beside a" | | 6 | "A mish-mash of ancient Victorian" | | 7 | "Miller clicked his ballpoint pen," | | 8 | "I scanned the abandoned Camden" | | 9 | "Miller pointed his pen toward" | | 10 | "A young woman sat on" | | 11 | "Miller crossed his arms" | | 12 | "I studied the witness." | | 13 | "She possessed curly red hair," | | 14 | "She wore sensible flat black" | | 15 | "A beautiful large old rectangular" | | 16 | "Her hands trembled as she" | | 17 | "I tapped the face of" | | 18 | "I approached the body, my" | | 19 | "I pulled back the crinkled" |
| | ratio | 0.918 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 98 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 29 | | uselessAdditionCount | 1 | | matches | | 0 | "I approached, my firm footsteps echoing through the cavernous space" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "I ordered (order)" | | 1 | "Eva whispered (whisper)" | | 2 | "I shouted (shout)" |
| | dialogueSentences | 66 | | tagDensity | 0.076 | | leniency | 0.152 | | rawRatio | 0.6 | | effectiveRatio | 0.091 | |