| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said quietly [quietly]" | | 1 | "he said slowly [slowly]" |
| | dialogueSentences | 40 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.125 | | effectiveRatio | 0.1 | |
| 91.30% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1150 | | 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) | |
| 86.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1150 | | totalAiIsms | 3 | | found | | | highlights | | |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "let out a breath" | | count | 1 |
| | 1 | | label | "knuckles turned white" | | count | 1 |
|
| | highlights | | 0 | "let out a breath" | | 1 | "knuckles went white" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 69 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 69 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 59 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1157 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 783 | | uniqueNames | 8 | | maxNameDensity | 0.64 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 1 | | Golden | 2 | | Empress | 2 | | Eva | 1 | | Lucien | 5 | | Aurora | 5 | | Yu-Fei | 1 | | Rory | 2 |
| | persons | | 0 | "Moreau" | | 1 | "Empress" | | 2 | "Eva" | | 3 | "Lucien" | | 4 | "Aurora" | | 5 | "Yu-Fei" | | 6 | "Rory" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 36.36% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 2 | | matches | | 0 | "quite a smile" | | 1 | "sounded like it had been held for years" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.864 | | wordCount | 1157 | | matches | | 0 | "not opening the door wider but not closing it either" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 93 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 26.3 | | std | 20.69 | | cv | 0.787 | | sampleLengths | | 0 | 50 | | 1 | 8 | | 2 | 58 | | 3 | 83 | | 4 | 6 | | 5 | 18 | | 6 | 7 | | 7 | 48 | | 8 | 13 | | 9 | 4 | | 10 | 34 | | 11 | 41 | | 12 | 9 | | 13 | 22 | | 14 | 53 | | 15 | 8 | | 16 | 45 | | 17 | 59 | | 18 | 14 | | 19 | 2 | | 20 | 72 | | 21 | 31 | | 22 | 6 | | 23 | 4 | | 24 | 16 | | 25 | 5 | | 26 | 23 | | 27 | 10 | | 28 | 49 | | 29 | 17 | | 30 | 44 | | 31 | 61 | | 32 | 23 | | 33 | 19 | | 34 | 4 | | 35 | 10 | | 36 | 29 | | 37 | 29 | | 38 | 10 | | 39 | 36 | | 40 | 28 | | 41 | 4 | | 42 | 33 | | 43 | 12 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 69 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 148 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 93 | | ratio | 0.054 | | matches | | 0 | "Six months since she'd stood in the alley and told him she never wanted to see him again — words she'd meant so hard they'd bruised her ribs." | | 1 | "Something flickered in his face — the amber eye catching the lamplight, the black one lost in its socket." | | 2 | "When he opened them again, both were looking at her — a trick he did when he wanted her to see him, all of him, not just the handsome half." | | 3 | "The weight of it — the months of her thinking she'd imagined him, projected him, made a ghost of a man she barely knew." | | 4 | "Rory looked at his hand — long fingers, a thin scar across the knuckle, the faint red glow of demon fire in the hollow of his palm that he'd once told her he couldn't always suppress." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 609 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.022988505747126436 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.006568144499178982 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 12.44 | | std | 10.3 | | cv | 0.828 | | sampleLengths | | 0 | 18 | | 1 | 13 | | 2 | 19 | | 3 | 8 | | 4 | 24 | | 5 | 23 | | 6 | 7 | | 7 | 4 | | 8 | 7 | | 9 | 15 | | 10 | 28 | | 11 | 33 | | 12 | 6 | | 13 | 16 | | 14 | 2 | | 15 | 7 | | 16 | 7 | | 17 | 19 | | 18 | 22 | | 19 | 8 | | 20 | 5 | | 21 | 4 | | 22 | 12 | | 23 | 22 | | 24 | 4 | | 25 | 5 | | 26 | 9 | | 27 | 23 | | 28 | 6 | | 29 | 3 | | 30 | 19 | | 31 | 3 | | 32 | 18 | | 33 | 11 | | 34 | 24 | | 35 | 8 | | 36 | 30 | | 37 | 15 | | 38 | 4 | | 39 | 30 | | 40 | 25 | | 41 | 8 | | 42 | 6 | | 43 | 2 | | 44 | 13 | | 45 | 59 | | 46 | 3 | | 47 | 20 | | 48 | 8 | | 49 | 6 |
| |
| 40.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3118279569892473 | | totalSentences | 93 | | uniqueOpeners | 29 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 16.72% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 61 | | matches | | 0 | "She pulled the chain and" | | 1 | "His charcoal suit was damp" | | 2 | "His amber eye caught the" | | 3 | "She'd replayed that night enough" | | 4 | "He pushed off the frame," | | 5 | "He looked past her, into" | | 6 | "He'd been tracking her routes." | | 7 | "She unlatched the chain and" | | 8 | "His knuckles went white on" | | 9 | "Her voice cracked, and she" | | 10 | "He closed his eyes." | | 11 | "he said quietly" | | 12 | "He shifted his weight, and" | | 13 | "She'd assumed Yu-Fei had done" | | 14 | "She shook her head slowly" | | 15 | "He'd been there the whole" | | 16 | "He took a step forward," | | 17 | "His hand rose, hesitated, and" | | 18 | "His voice dropped" | | 19 | "She wanted to hit him." |
| | ratio | 0.508 | |
| 0.98% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 61 | | matches | | 0 | "The knock came at half" | | 1 | "Aurora set down the delivery" | | 2 | "Silas closed the bar at" | | 3 | "She pulled the chain and" | | 4 | "Lucien Moreau stood in the" | | 5 | "His charcoal suit was damp" | | 6 | "His amber eye caught the" | | 7 | "The black one didn't." | | 8 | "Aurora's hand tightened on the" | | 9 | "She'd replayed that night enough" | | 10 | "He pushed off the frame," | | 11 | "He looked past her, into" | | 12 | "The lamp on her desk" | | 13 | "Ptolemy, Eva's cat, had slipped" | | 14 | "Lucien's mouth curved into something" | | 15 | "Aurora's chest went tight." | | 16 | "He'd been tracking her routes." | | 17 | "That knowledge sat in her" | | 18 | "She unlatched the chain and" | | 19 | "Something flickered in his face" |
| | ratio | 0.918 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 1 | | matches | | 0 | "Moving in the dark, clearing her path, feeding her, guarding her, never letting her see." |
| |
| 93.75% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 1 | | matches | | 0 | "He shifted, and the cane tapped once against the floor" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 40 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.125 | | effectiveRatio | 0.05 | |