| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.75% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1132 | | 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) | |
| 42.58% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1132 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "silk" | | 1 | "trembled" | | 2 | "tracing" | | 3 | "anticipation" | | 4 | "silence" | | 5 | "wavered" | | 6 | "measured" | | 7 | "echoed" | | 8 | "pulse" | | 9 | "glint" | | 10 | "velvet" | | 11 | "flickered" | | 12 | "thundered" |
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| 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 | 1 | | narrationSentences | 78 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 78 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 103 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1135 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.43% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 856 | | uniqueNames | 4 | | maxNameDensity | 1.05 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | | persons | | 0 | "Ptolemy" | | 1 | "Eva" | | 2 | "Rory" | | 3 | "Lucien" |
| | places | (empty) | | globalScore | 0.974 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | 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 | 1135 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 103 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 24.67 | | std | 15.72 | | cv | 0.637 | | sampleLengths | | 0 | 75 | | 1 | 51 | | 2 | 41 | | 3 | 17 | | 4 | 17 | | 5 | 51 | | 6 | 37 | | 7 | 36 | | 8 | 48 | | 9 | 20 | | 10 | 31 | | 11 | 33 | | 12 | 27 | | 13 | 11 | | 14 | 46 | | 15 | 8 | | 16 | 41 | | 17 | 8 | | 18 | 13 | | 19 | 20 | | 20 | 12 | | 21 | 32 | | 22 | 16 | | 23 | 28 | | 24 | 43 | | 25 | 11 | | 26 | 39 | | 27 | 15 | | 28 | 17 | | 29 | 39 | | 30 | 23 | | 31 | 9 | | 32 | 21 | | 33 | 17 | | 34 | 31 | | 35 | 21 | | 36 | 40 | | 37 | 11 | | 38 | 31 | | 39 | 10 | | 40 | 9 | | 41 | 7 | | 42 | 6 | | 43 | 8 | | 44 | 6 | | 45 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 153 | | matches | (empty) | |
| 4.16% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 103 | | ratio | 0.049 | | matches | | 0 | "His scent lingered — expensive cologne, with a metallic bite beneath." | | 1 | "He closed the door behind him, triple locked it, and finally — for the first time in months — we stood less than an arm’s length apart, and nowhere neutral." | | 2 | "Moving slowly, not the careless speed of someone whose nerves hummed with anticipation — the studied patience of a cat, or a man used to being in control." | | 3 | "“Wrong kind. The sort that subcontracts out pain.” His eyes met mine — the wolf-gold one, not the black — and for a second I remembered the first night I trusted him with a secret that could end me." | | 4 | "He pressed the cane’s button — a glint of steel, just visible at the tip." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 853 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.026963657678780773 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.010550996483001172 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 103 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 103 | | mean | 11.02 | | std | 7.63 | | cv | 0.693 | | sampleLengths | | 0 | 5 | | 1 | 6 | | 2 | 31 | | 3 | 24 | | 4 | 9 | | 5 | 12 | | 6 | 13 | | 7 | 15 | | 8 | 11 | | 9 | 18 | | 10 | 2 | | 11 | 11 | | 12 | 10 | | 13 | 3 | | 14 | 14 | | 15 | 14 | | 16 | 3 | | 17 | 10 | | 18 | 19 | | 19 | 14 | | 20 | 8 | | 21 | 6 | | 22 | 26 | | 23 | 5 | | 24 | 23 | | 25 | 5 | | 26 | 8 | | 27 | 30 | | 28 | 14 | | 29 | 4 | | 30 | 15 | | 31 | 5 | | 32 | 28 | | 33 | 3 | | 34 | 4 | | 35 | 29 | | 36 | 16 | | 37 | 11 | | 38 | 11 | | 39 | 18 | | 40 | 28 | | 41 | 6 | | 42 | 2 | | 43 | 16 | | 44 | 6 | | 45 | 19 | | 46 | 8 | | 47 | 7 | | 48 | 6 | | 49 | 6 |
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| 60.52% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.42718446601941745 | | totalSentences | 103 | | uniqueOpeners | 44 | |
| 45.05% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 74 | | matches | | 0 | "Only him, me, the crowd" |
| | ratio | 0.014 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 45 | | totalSentences | 74 | | matches | | 0 | "I set my mug down" | | 1 | "I undid two deadbolts, one" | | 2 | "His scent lingered — expensive" | | 3 | "His voice slid into the" | | 4 | "I didn’t move." | | 5 | "He turned the cane slowly" | | 6 | "I slid the chain across" | | 7 | "His gaze fell to my" | | 8 | "I undid the chain, bracing" | | 9 | "I had meant to fill" | | 10 | "I opened the door wide." | | 11 | "He didn’t wrinkle his nose." | | 12 | "He never did, not in" | | 13 | "He closed the door behind" | | 14 | "I folded my arms." | | 15 | "My voice caught on the" | | 16 | "He smiled, the kind of" | | 17 | "He straightened, left the cane" | | 18 | "I crossed to the sink," | | 19 | "His reflection wavered on the" |
| | ratio | 0.608 | |
| 27.57% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 74 | | matches | | 0 | "Knuckles on the door again." | | 1 | "I set my mug down" | | 2 | "I undid two deadbolts, one" | | 3 | "Lucien leaned on the threshold," | | 4 | "Silk scarf at his collar," | | 5 | "The ivory handle of his" | | 6 | "His scent lingered — expensive" | | 7 | "His voice slid into the" | | 8 | "I didn’t move." | | 9 | "He turned the cane slowly" | | 10 | "The first time he’d said" | | 11 | "I slid the chain across" | | 12 | "His gaze fell to my" | | 13 | "I undid the chain, bracing" | | 14 | "I had meant to fill" | | 15 | "I opened the door wide." | | 16 | "Lucien stepped inside, gaze flicking" | | 17 | "He didn’t wrinkle his nose." | | 18 | "He never did, not in" | | 19 | "He closed the door behind" |
| | ratio | 0.865 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 1 | | matches | | 0 | "Lucien stepped inside, gaze flicking over piles of books, the curry house menu pinned to the wall, yesterday’s takeout congealing on the counter." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "I said, soft but dangerous" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.086 | | leniency | 0.171 | | rawRatio | 0 | | effectiveRatio | 0 | |