| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 2 | | adverbTags | | 0 | "Lucien said softly [softly]" | | 1 | "he said quietly [quietly]" |
| | dialogueSentences | 43 | | tagDensity | 0.209 | | leniency | 0.419 | | rawRatio | 0.222 | | effectiveRatio | 0.093 | |
| 88.54% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1309 | | totalAiIsmAdverbs | 3 | | 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) | |
| 31.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1309 | | totalAiIsms | 18 | | found | | 0 | | | 1 | | | 2 | | | 3 | | word | "practiced ease" | | count | 1 |
| | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | |
| | highlights | | 0 | "weight" | | 1 | "effortless" | | 2 | "pristine" | | 3 | "practiced ease" | | 4 | "traced" | | 5 | "tension" | | 6 | "chill" | | 7 | "chaotic" | | 8 | "pulse" | | 9 | "silk" | | 10 | "abyssal" | | 11 | "stomach" | | 12 | "grave" | | 13 | "efficient" |
| |
| 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 | 63 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 63 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1309 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 90.48% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 924 | | uniqueNames | 9 | | maxNameDensity | 1.19 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 11 | | Moreau | 1 | | Lucien | 8 | | London | 2 | | Golden | 1 | | Empress | 1 | | Whitechapel | 1 | | Frenchman | 1 | | Avaros | 1 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Lucien" | | 3 | "Frenchman" |
| | places | | 0 | "London" | | 1 | "Golden" | | 2 | "Whitechapel" |
| | globalScore | 0.905 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | 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 | 1309 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 97 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 22.96 | | std | 18.59 | | cv | 0.809 | | sampleLengths | | 0 | 27 | | 1 | 42 | | 2 | 9 | | 3 | 13 | | 4 | 12 | | 5 | 45 | | 6 | 7 | | 7 | 54 | | 8 | 19 | | 9 | 15 | | 10 | 15 | | 11 | 46 | | 12 | 30 | | 13 | 4 | | 14 | 2 | | 15 | 22 | | 16 | 6 | | 17 | 10 | | 18 | 73 | | 19 | 32 | | 20 | 20 | | 21 | 8 | | 22 | 9 | | 23 | 10 | | 24 | 51 | | 25 | 50 | | 26 | 23 | | 27 | 17 | | 28 | 4 | | 29 | 4 | | 30 | 7 | | 31 | 32 | | 32 | 24 | | 33 | 7 | | 34 | 5 | | 35 | 20 | | 36 | 69 | | 37 | 4 | | 38 | 12 | | 39 | 18 | | 40 | 31 | | 41 | 53 | | 42 | 29 | | 43 | 17 | | 44 | 2 | | 45 | 9 | | 46 | 53 | | 47 | 10 | | 48 | 58 | | 49 | 25 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 142 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 97 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 929 | | adjectiveStacks | 1 | | stackExamples | | 0 | "slow, razor-thin expression" |
| | adverbCount | 23 | | adverbRatio | 0.024757804090419805 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.010764262648008612 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 13.49 | | std | 7.53 | | cv | 0.558 | | sampleLengths | | 0 | 27 | | 1 | 16 | | 2 | 26 | | 3 | 9 | | 4 | 13 | | 5 | 12 | | 6 | 15 | | 7 | 25 | | 8 | 5 | | 9 | 7 | | 10 | 11 | | 11 | 20 | | 12 | 23 | | 13 | 6 | | 14 | 13 | | 15 | 15 | | 16 | 15 | | 17 | 23 | | 18 | 14 | | 19 | 9 | | 20 | 10 | | 21 | 20 | | 22 | 4 | | 23 | 2 | | 24 | 22 | | 25 | 6 | | 26 | 10 | | 27 | 12 | | 28 | 27 | | 29 | 34 | | 30 | 4 | | 31 | 28 | | 32 | 20 | | 33 | 8 | | 34 | 9 | | 35 | 10 | | 36 | 28 | | 37 | 4 | | 38 | 19 | | 39 | 15 | | 40 | 13 | | 41 | 22 | | 42 | 8 | | 43 | 15 | | 44 | 8 | | 45 | 9 | | 46 | 4 | | 47 | 4 | | 48 | 7 | | 49 | 6 |
| |
| 66.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.44329896907216493 | | totalSentences | 97 | | uniqueOpeners | 43 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 70.85% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 59 | | matches | | 0 | "She shoved hard, intending to" | | 1 | "His platinum blond hair remained" | | 2 | "He wore a bespoke charcoal" | | 3 | "He closed the door behind" | | 4 | "Her thumb traced the pale" | | 5 | "He leaned his weight onto" | | 6 | "He let his amber eye" | | 7 | "He moved toward the centre" | | 8 | "She refused to give him" | | 9 | "It pulled at something dark" | | 10 | "Her bright blue eyes locked" | | 11 | "His pulse beat against her" | | 12 | "His skin carried an ashen" | | 13 | "He had crossed half the" | | 14 | "she demanded, voice trembling with" | | 15 | "She dragged a copper basin" | | 16 | "Her movements were sharp, efficient," | | 17 | "He peeled the ruined suit" | | 18 | "She set the copper basin" | | 19 | "He didn't pull away this" |
| | ratio | 0.373 | |
| 27.80% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 59 | | matches | | 0 | "The third deadbolt clicked open," | | 1 | "Ptolemy hissed from atop a" | | 2 | "The sharp aroma of toasted" | | 3 | "Rory braced her shoulder against" | | 4 | "She shoved hard, intending to" | | 5 | "The door swung inward with" | | 6 | "Lucien Moreau stood on the" | | 7 | "His platinum blond hair remained" | | 8 | "He wore a bespoke charcoal" | | 9 | "The other remained an abyss" | | 10 | "Lucien stepped inside anyway, the" | | 11 | "He closed the door behind" | | 12 | "Rory retreated two steps, keeping" | | 13 | "Her thumb traced the pale" | | 14 | "Lucien smiled, a slow, razor-thin" | | 15 | "He leaned his weight onto" | | 16 | "He let his amber eye" | | 17 | "He moved toward the centre" | | 18 | "Rory held her ground." | | 19 | "She refused to give him" |
| | ratio | 0.864 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 61.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 5 | | matches | | 0 | "He leaned his weight onto the cane, his posture casual, yet his shoulders carried a rigid tension that had nothing to do with the damp London chill." | | 1 | "It pulled at something dark and buried deep in her ribs, a reckless pulse that had nearly gotten her killed in Whitechapel." | | 2 | "The flesh around the wounds wept an oily, violet fluid that sizzled against the air, releasing the foul reek of pure Avaros sulfur." | | 3 | "Lucien obeyed without a single sarcastic retort, which terrified her more than any threat." | | 4 | "On the threshold crouched a creature of twisted bone and midnight muscle, its jaw unhinging to reveal rows of translucent needle teeth, its yellow eyes locked d…" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 80.23% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "she whispered (whisper)" | | 2 | "she demanded (demand)" |
| | dialogueSentences | 43 | | tagDensity | 0.14 | | leniency | 0.279 | | rawRatio | 0.5 | | effectiveRatio | 0.14 | |