| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 4 | | adverbTags | | 0 | "His accent wrapped around [around]" | | 1 | "She gestured vaguely [vaguely]" | | 2 | "he said quietly [quietly]" | | 3 | "He swallowed hard [hard]" |
| | dialogueSentences | 36 | | tagDensity | 0.361 | | leniency | 0.722 | | rawRatio | 0.308 | | effectiveRatio | 0.222 | |
| 79.34% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 968 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "carefully" | | 2 | "perfectly" | | 3 | "very" |
| |
| 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) | |
| 32.85% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 968 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "stomach" | | 1 | "intensity" | | 2 | "pulse" | | 3 | "silk" | | 4 | "variables" | | 5 | "otherworldly" | | 6 | "flickered" | | 7 | "facade" | | 8 | "disrupting" | | 9 | "perfect" | | 10 | "whisper" | | 11 | "traced" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 50 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 50 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 70 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 55 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 962 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 595 | | uniqueNames | 10 | | maxNameDensity | 0.67 | | worstName | "London" | | maxWindowNameDensity | 1.5 | | worstWindowName | "London" | | discoveredNames | | Aurora | 2 | | London | 4 | | Golden | 1 | | Empress | 1 | | Heat | 1 | | Rory | 3 | | Lucien | 4 | | Ptolemy | 2 | | Eva | 2 | | East | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Heat" | | 2 | "Rory" | | 3 | "Lucien" | | 4 | "Ptolemy" | | 5 | "Eva" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | 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 | 962 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 70 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 28.29 | | std | 17.71 | | cv | 0.626 | | sampleLengths | | 0 | 13 | | 1 | 48 | | 2 | 13 | | 3 | 53 | | 4 | 6 | | 5 | 26 | | 6 | 36 | | 7 | 3 | | 8 | 19 | | 9 | 33 | | 10 | 52 | | 11 | 32 | | 12 | 5 | | 13 | 25 | | 14 | 43 | | 15 | 6 | | 16 | 49 | | 17 | 23 | | 18 | 14 | | 19 | 47 | | 20 | 19 | | 21 | 66 | | 22 | 4 | | 23 | 59 | | 24 | 9 | | 25 | 43 | | 26 | 25 | | 27 | 7 | | 28 | 50 | | 29 | 20 | | 30 | 44 | | 31 | 22 | | 32 | 30 | | 33 | 18 |
| |
| 98.25% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 50 | | matches | | |
| 73.02% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 105 | | matches | | 0 | "were building" | | 1 | "wasn't watching" |
| |
| 20.41% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 70 | | ratio | 0.043 | | matches | | 0 | "His mismatched eyes—amber and black—fixed on her face with an intensity that made her pulse stutter." | | 1 | "Books and scrolls covered every surface—Eva's research into London's occult history spread across the coffee table, the kitchen counter, even stacked on the windowsill." | | 2 | "\"—whatever this is supposed to be.\"" |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 607 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.036243822075782535 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.011532125205930808 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 70 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 70 | | mean | 13.74 | | std | 9.81 | | cv | 0.714 | | sampleLengths | | 0 | 13 | | 1 | 22 | | 2 | 16 | | 3 | 10 | | 4 | 9 | | 5 | 4 | | 6 | 11 | | 7 | 2 | | 8 | 40 | | 9 | 6 | | 10 | 9 | | 11 | 17 | | 12 | 5 | | 13 | 11 | | 14 | 15 | | 15 | 5 | | 16 | 3 | | 17 | 15 | | 18 | 4 | | 19 | 15 | | 20 | 18 | | 21 | 10 | | 22 | 22 | | 23 | 20 | | 24 | 24 | | 25 | 8 | | 26 | 5 | | 27 | 8 | | 28 | 17 | | 29 | 9 | | 30 | 34 | | 31 | 6 | | 32 | 9 | | 33 | 34 | | 34 | 6 | | 35 | 10 | | 36 | 13 | | 37 | 14 | | 38 | 13 | | 39 | 34 | | 40 | 13 | | 41 | 6 | | 42 | 12 | | 43 | 54 | | 44 | 4 | | 45 | 6 | | 46 | 27 | | 47 | 26 | | 48 | 3 | | 49 | 6 |
| |
| 88.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5571428571428572 | | totalSentences | 70 | | uniqueOpeners | 39 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 47 | | matches | (empty) | | ratio | 0 | |
| 24.26% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 47 | | matches | | 0 | "His mismatched eyes—amber and black—fixed" | | 1 | "His accent wrapped around her" | | 2 | "She gripped the door handle" | | 3 | "He tilted his head, studying" | | 4 | "She'd installed those locks herself" | | 5 | "His gaze never left her" | | 6 | "She wasn't going to make" | | 7 | "She'd been the only one" | | 8 | "She gestured vaguely at his" | | 9 | "He set the cane against" | | 10 | "He ran a hand through" | | 11 | "She took a step closer," | | 12 | "She was close enough now" | | 13 | "His jaw tightened." | | 14 | "Her voice dropped to a" | | 15 | "He moved then, closing the" | | 16 | "His hands came up to" | | 17 | "She'd imagined him saying them," | | 18 | "Her voice cracked" | | 19 | "His thumbs traced along her" |
| | ratio | 0.489 | |
| 2.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 47 | | matches | | 0 | "The door swung open, and" | | 1 | "Lucien stood in the hallway," | | 2 | "His mismatched eyes—amber and black—fixed" | | 3 | "Water droplets clung to the" | | 4 | "His accent wrapped around her" | | 5 | "She gripped the door handle" | | 6 | "He tilted his head, studying" | | 7 | "Heat crept up her neck." | | 8 | "She'd installed those locks herself" | | 9 | "Eva had laughed, called her" | | 10 | "His gaze never left her" | | 11 | "The tabby cat, Ptolemy, appeared" | | 12 | "The traitor had always liked" | | 13 | "Rory stepped back, her bare" | | 14 | "She wasn't going to make" | | 15 | "The flat's cramped space seemed" | | 16 | "Books and scrolls covered every" | | 17 | "Lucien's eyes swept the chaos" | | 18 | "Rory turned to face him," | | 19 | "Something flickered across his features" |
| | ratio | 0.915 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 47 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 1 | | matches | | 0 | "His mismatched eyes—amber and black—fixed on her face with an intensity that made her pulse stutter." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "She gestured vaguely (gesture)" |
| | dialogueSentences | 36 | | tagDensity | 0.056 | | leniency | 0.111 | | rawRatio | 0.5 | | effectiveRatio | 0.056 | |