| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1547 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 48.29% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1547 | | totalAiIsms | 16 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | word | "shared breath" | | count | 1 |
|
| | highlights | | 0 | "weight" | | 1 | "silence" | | 2 | "affection" | | 3 | "warmth" | | 4 | "pulse" | | 5 | "traced" | | 6 | "grave" | | 7 | "standard" | | 8 | "aligned" | | 9 | "vibrated" | | 10 | "shared breath" |
| |
| 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 | 304 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 304 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 304 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 14 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1547 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 73 | | wordCount | 1547 | | uniqueNames | 18 | | maxNameDensity | 2.39 | | worstName | "You" | | maxWindowNameDensity | 6.5 | | worstWindowName | "You" | | discoveredNames | | Oxford | 1 | | Lucien | 6 | | Tuesday | 1 | | Cardiff | 1 | | Eva | 3 | | Evan | 1 | | Shoreditch | 1 | | Golden | 1 | | Empress | 1 | | Frenchman | 1 | | French | 1 | | Breton | 1 | | Latin | 1 | | Bengali | 1 | | Rory | 9 | | One | 3 | | You | 37 | | Ptolemy | 3 |
| | persons | | 0 | "Lucien" | | 1 | "Eva" | | 2 | "Evan" | | 3 | "Rory" | | 4 | "You" | | 5 | "Ptolemy" |
| | places | | 0 | "Oxford" | | 1 | "Cardiff" | | 2 | "Shoreditch" | | 3 | "Bengali" | | 4 | "One" |
| | globalScore | 0.304 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 105 | | 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 | 1547 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 304 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 68 | | mean | 22.75 | | std | 14.84 | | cv | 0.652 | | sampleLengths | | 0 | 66 | | 1 | 23 | | 2 | 4 | | 3 | 10 | | 4 | 6 | | 5 | 62 | | 6 | 48 | | 7 | 4 | | 8 | 9 | | 9 | 27 | | 10 | 6 | | 11 | 7 | | 12 | 40 | | 13 | 17 | | 14 | 18 | | 15 | 19 | | 16 | 33 | | 17 | 12 | | 18 | 28 | | 19 | 24 | | 20 | 27 | | 21 | 5 | | 22 | 27 | | 23 | 23 | | 24 | 10 | | 25 | 25 | | 26 | 2 | | 27 | 23 | | 28 | 41 | | 29 | 2 | | 30 | 25 | | 31 | 23 | | 32 | 42 | | 33 | 19 | | 34 | 3 | | 35 | 16 | | 36 | 36 | | 37 | 20 | | 38 | 16 | | 39 | 5 | | 40 | 21 | | 41 | 22 | | 42 | 27 | | 43 | 22 | | 44 | 34 | | 45 | 21 | | 46 | 6 | | 47 | 20 | | 48 | 61 | | 49 | 24 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 304 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 337 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 304 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1552 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.010309278350515464 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 304 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 304 | | mean | 5.09 | | std | 2.52 | | cv | 0.496 | | sampleLengths | | 0 | 5 | | 1 | 6 | | 2 | 5 | | 3 | 7 | | 4 | 5 | | 5 | 7 | | 6 | 8 | | 7 | 10 | | 8 | 8 | | 9 | 5 | | 10 | 7 | | 11 | 12 | | 12 | 4 | | 13 | 4 | | 14 | 3 | | 15 | 7 | | 16 | 6 | | 17 | 3 | | 18 | 10 | | 19 | 5 | | 20 | 3 | | 21 | 4 | | 22 | 13 | | 23 | 5 | | 24 | 5 | | 25 | 6 | | 26 | 8 | | 27 | 6 | | 28 | 8 | | 29 | 6 | | 30 | 10 | | 31 | 6 | | 32 | 12 | | 33 | 4 | | 34 | 9 | | 35 | 5 | | 36 | 2 | | 37 | 9 | | 38 | 4 | | 39 | 7 | | 40 | 6 | | 41 | 7 | | 42 | 8 | | 43 | 6 | | 44 | 11 | | 45 | 7 | | 46 | 4 | | 47 | 4 | | 48 | 2 | | 49 | 2 |
| |
| 25.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 75 | | diversityRatio | 0.23355263157894737 | | totalSentences | 304 | | uniqueOpeners | 71 | |
| 25.45% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 262 | | matches | | 0 | "Then you turned your back." | | 1 | "Then cross it." |
| | ratio | 0.008 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 151 | | totalSentences | 262 | | matches | | 0 | "She held her ground." | | 1 | "You changed the locks." | | 2 | "I added two." | | 3 | "You taught me to count" | | 4 | "I taught you to survive" | | 5 | "He stepped forward." | | 6 | "He did not ask permission." | | 7 | "He never did." | | 8 | "It swung wide and knocked" | | 9 | "She bent to gather them." | | 10 | "She swept it back with" | | 11 | "He moved into the cramped" | | 12 | "His shoulders brushed a milk" | | 13 | "Her bright blue eyes locked" | | 14 | "She crossed her arms." | | 15 | "You look expensive for a" | | 16 | "I dress for the company" | | 17 | "He tapped the cane against" | | 18 | "He tilted his head." | | 19 | "I needed quiet." |
| | ratio | 0.576 | |
| 26.79% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 227 | | totalSentences | 262 | | matches | | 0 | "The third deadbolt clicked back." | | 1 | "Brass groaned against the painted" | | 2 | "Rory pulled the door open." | | 3 | "Lucien stood on the threshold." | | 4 | "Charcoal wool absorbed the dim" | | 5 | "Platinum hair swept back in" | | 6 | "The ivory head of his" | | 7 | "The other swallowed it whole." | | 8 | "Rory’s fingers tightened on the" | | 9 | "The crescent scar on her" | | 10 | "She held her ground." | | 11 | "You changed the locks." | | 12 | "I added two." | | 13 | "You taught me to count" | | 14 | "I taught you to survive" | | 15 | "He stepped forward." | | 16 | "The toe of his Oxford" | | 17 | "He did not ask permission." | | 18 | "He never did." | | 19 | "Rory released the door." |
| | ratio | 0.866 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 262 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 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 | |