| 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 | 1234 | | 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) | |
| 2.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1234 | | totalAiIsms | 24 | | found | | | highlights | | 0 | "chill" | | 1 | "throbbed" | | 2 | "traced" | | 3 | "silence" | | 4 | "echoed" | | 5 | "pulse" | | 6 | "pulsed" | | 7 | "weight" | | 8 | "charged" | | 9 | "raced" | | 10 | "vibrated" | | 11 | "tension" | | 12 | "fractured" | | 13 | "warmth" | | 14 | "thundered" | | 15 | "whisper" |
| |
| 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 | 314 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 314 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 314 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1234 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 73 | | wordCount | 1234 | | uniqueNames | 21 | | maxNameDensity | 1.05 | | worstName | "You" | | maxWindowNameDensity | 2 | | worstWindowName | "You" | | discoveredNames | | London | 2 | | Moreau | 1 | | Lucien | 7 | | East | 1 | | End | 1 | | Avaros | 2 | | Brick | 1 | | Lane | 1 | | Rory | 5 | | One | 3 | | Rain | 3 | | You | 13 | | Ptolemy | 4 | | Fingers | 5 | | Sound | 4 | | Breath | 4 | | Voice | 3 | | Words | 3 | | Eyes | 3 | | Watched | 4 | | Cat | 3 |
| | persons | | 0 | "Moreau" | | 1 | "Lucien" | | 2 | "Avaros" | | 3 | "Rory" | | 4 | "Rain" | | 5 | "You" | | 6 | "Ptolemy" | | 7 | "Fingers" | | 8 | "Breath" | | 9 | "Voice" | | 10 | "Words" | | 11 | "Eyes" | | 12 | "Cat" |
| | places | | 0 | "London" | | 1 | "East" | | 2 | "End" | | 3 | "Brick" | | 4 | "Lane" |
| | globalScore | 0.973 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | 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 | 1234 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 314 | | matches | (empty) | |
| 32.92% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 39.81 | | std | 10.56 | | cv | 0.265 | | sampleLengths | | 0 | 47 | | 1 | 52 | | 2 | 32 | | 3 | 61 | | 4 | 43 | | 5 | 45 | | 6 | 39 | | 7 | 38 | | 8 | 37 | | 9 | 17 | | 10 | 46 | | 11 | 25 | | 12 | 43 | | 13 | 41 | | 14 | 39 | | 15 | 17 | | 16 | 39 | | 17 | 33 | | 18 | 42 | | 19 | 34 | | 20 | 28 | | 21 | 40 | | 22 | 39 | | 23 | 41 | | 24 | 33 | | 25 | 65 | | 26 | 47 | | 27 | 38 | | 28 | 29 | | 29 | 50 | | 30 | 54 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 314 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 296 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 314 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1237 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.023443815683104285 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0008084074373484236 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 314 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 314 | | mean | 3.93 | | std | 2.34 | | cv | 0.596 | | sampleLengths | | 0 | 4 | | 1 | 23 | | 2 | 5 | | 3 | 2 | | 4 | 9 | | 5 | 4 | | 6 | 6 | | 7 | 5 | | 8 | 7 | | 9 | 6 | | 10 | 4 | | 11 | 8 | | 12 | 4 | | 13 | 8 | | 14 | 4 | | 15 | 3 | | 16 | 5 | | 17 | 5 | | 18 | 8 | | 19 | 6 | | 20 | 5 | | 21 | 4 | | 22 | 5 | | 23 | 11 | | 24 | 4 | | 25 | 3 | | 26 | 5 | | 27 | 7 | | 28 | 15 | | 29 | 7 | | 30 | 2 | | 31 | 2 | | 32 | 11 | | 33 | 2 | | 34 | 9 | | 35 | 4 | | 36 | 8 | | 37 | 5 | | 38 | 8 | | 39 | 4 | | 40 | 4 | | 41 | 1 | | 42 | 7 | | 43 | 4 | | 44 | 4 | | 45 | 2 | | 46 | 5 | | 47 | 6 | | 48 | 2 | | 49 | 3 |
| |
| 91.51% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.5796178343949044 | | totalSentences | 314 | | uniqueOpeners | 182 | |
| 59.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 226 | | matches | | 0 | "Then tell me why you" | | 1 | "Just an inch." | | 2 | "Just enough to let cold" | | 3 | "Dark against white." |
| | ratio | 0.018 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 55 | | totalSentences | 226 | | matches | | 0 | "He wore the same tailored" | | 1 | "He held a leather folio" | | 2 | "You look terrible." | | 3 | "He stepped inside without invitation." | | 4 | "Your timing never improved." | | 5 | "Her left wrist throbbed where" | | 6 | "She crossed her arms." | | 7 | "He avoided her face." | | 8 | "You promised never to cross" | | 9 | "His hand against hers." | | 10 | "She kept her voice steady." | | 11 | "He finally turned." | | 12 | "He moved past the table." | | 13 | "She steadied herself against a" | | 14 | "He leaned forward." | | 15 | "She forced shoulders down." | | 16 | "They track bloodlines." | | 17 | "They track debts." | | 18 | "They track men who owe" | | 19 | "He reached out." |
| | ratio | 0.243 | |
| 77.26% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 173 | | totalSentences | 226 | | matches | | 0 | "The deadbolts clicked back." | | 1 | "Rory gripped the brass handle." | | 2 | "The security chain slid free" | | 3 | "The door opened inward." | | 4 | "Lucien Moreau stood in the" | | 5 | "Charcoal wool brushed his shoulders." | | 6 | "Platinum hair caught the flickering" | | 7 | "The other absorbed it." | | 8 | "He wore the same tailored" | | 9 | "The same quiet menace." | | 10 | "He held a leather folio" | | 11 | "Rain darkened his lapels." | | 12 | "You look terrible." | | 13 | "The words hung between them." | | 14 | "He stepped inside without invitation." | | 15 | "The door swung shut behind" | | 16 | "The deadbolts refused to bite." | | 17 | "Your timing never improved." | | 18 | "Rory held her posture straight." | | 19 | "Her left wrist throbbed where" |
| | ratio | 0.765 | |
| 44.25% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 226 | | matches | | 0 | "Because they found my safehouse." | | 1 | "Because your cat likes tuna." |
| | ratio | 0.009 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 6 | | 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 | |