| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 1 | | adverbTags | | 0 | "fragile he had finally [finally]" |
| | dialogueSentences | 48 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.063 | | effectiveRatio | 0.042 | |
| 90.68% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1073 | | 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) | |
| 86.02% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1073 | | totalAiIsms | 3 | | found | | | highlights | | |
| 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 | 60 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 60 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1081 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 758 | | uniqueNames | 5 | | maxNameDensity | 0.66 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Rory | 3 | | Eva | 3 | | Lucien | 5 | | Ptolemy | 3 | | Laila | 1 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Lucien" | | 3 | "Ptolemy" | | 4 | "Laila" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 33 | | 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 | 1081 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 92 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 19.65 | | std | 19.78 | | cv | 1.006 | | sampleLengths | | 0 | 44 | | 1 | 75 | | 2 | 6 | | 3 | 14 | | 4 | 2 | | 5 | 11 | | 6 | 9 | | 7 | 35 | | 8 | 7 | | 9 | 2 | | 10 | 6 | | 11 | 67 | | 12 | 17 | | 13 | 6 | | 14 | 8 | | 15 | 1 | | 16 | 1 | | 17 | 27 | | 18 | 5 | | 19 | 7 | | 20 | 4 | | 21 | 84 | | 22 | 24 | | 23 | 6 | | 24 | 35 | | 25 | 15 | | 26 | 37 | | 27 | 1 | | 28 | 32 | | 29 | 6 | | 30 | 15 | | 31 | 20 | | 32 | 47 | | 33 | 26 | | 34 | 39 | | 35 | 9 | | 36 | 2 | | 37 | 3 | | 38 | 9 | | 39 | 3 | | 40 | 38 | | 41 | 19 | | 42 | 10 | | 43 | 6 | | 44 | 27 | | 45 | 2 | | 46 | 43 | | 47 | 61 | | 48 | 21 | | 49 | 2 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 60 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 132 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 2 | | flaggedSentences | 7 | | totalSentences | 92 | | ratio | 0.076 | | matches | | 0 | "The third deadbolt slid back with a reluctant scrape, and Rory opened the door halfway — just enough to see who had the gall to ring Eva's buzzer at eleven at night — and the rest of her sentence died somewhere behind her teeth." | | 1 | "He looked at her properly for the first time, and she felt the careful double-pull of his mismatched eyes — the amber one warm, the black one unreadable, both of them entirely too attentive." | | 2 | "He simply observed — the leaning towers of books, the half-drunk mug of tea on the windowsill, the notebook splayed open on the coffee table with Rory's looping, left-handed scrawl across it." | | 3 | "The crescent scar on her left wrist caught the lamplight; she turned it inward without thinking." | | 4 | "He leaned his weight on the cane, very slightly, and that told her more than anything he might say — Lucien never leaned unless something hurt, and Lucien never admitted what hurt." | | 5 | "The window gave her back a blurred reflection of the room — her, narrow and dark-haired and braced; him, elegant and unreadable, watching her watch him." | | 6 | "\"For God's sake.\" She caught his wrist — the gloved one, gentle — and he let her." |
| |
| 85.89% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 677 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.056129985228951254 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.01772525849335303 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 11.75 | | std | 10 | | cv | 0.851 | | sampleLengths | | 0 | 44 | | 1 | 32 | | 2 | 18 | | 3 | 25 | | 4 | 6 | | 5 | 14 | | 6 | 2 | | 7 | 11 | | 8 | 3 | | 9 | 6 | | 10 | 20 | | 11 | 3 | | 12 | 12 | | 13 | 7 | | 14 | 2 | | 15 | 6 | | 16 | 34 | | 17 | 33 | | 18 | 4 | | 19 | 13 | | 20 | 6 | | 21 | 8 | | 22 | 1 | | 23 | 1 | | 24 | 15 | | 25 | 12 | | 26 | 5 | | 27 | 7 | | 28 | 4 | | 29 | 3 | | 30 | 19 | | 31 | 4 | | 32 | 3 | | 33 | 32 | | 34 | 23 | | 35 | 4 | | 36 | 4 | | 37 | 16 | | 38 | 5 | | 39 | 1 | | 40 | 3 | | 41 | 32 | | 42 | 7 | | 43 | 8 | | 44 | 12 | | 45 | 5 | | 46 | 20 | | 47 | 1 | | 48 | 32 | | 49 | 6 |
| |
| 56.16% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.40217391304347827 | | totalSentences | 92 | | uniqueOpeners | 37 | |
| 72.46% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 46 | | matches | | 0 | "Somehow the flat, which had" |
| | ratio | 0.022 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 46 | | matches | | 0 | "His charcoal suit was immaculate," | | 1 | "She almost laughed." | | 2 | "She hated that she almost" | | 3 | "She bent, scooped him up," | | 4 | "He looked at her properly" | | 5 | "She held the door for" | | 6 | "He stepped inside." | | 7 | "He didn't touch anything." | | 8 | "He never did." | | 9 | "He simply observed — the" | | 10 | "His gaze paused there a" | | 11 | "She set Ptolemy down." | | 12 | "She crossed her arms." | | 13 | "He didn't sit." | | 14 | "He leaned his weight on" | | 15 | "She kept her face still." | | 16 | "It was a trick she" | | 17 | "She said it too quietly," | | 18 | "It was the closest thing" | | 19 | "She turned away from him" |
| | ratio | 0.609 | |
| 46.96% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 38 | | totalSentences | 46 | | matches | | 0 | "The third deadbolt slid back" | | 1 | "Lucien stood on the landing" | | 2 | "The stairwell light, all jaundice" | | 3 | "His charcoal suit was immaculate," | | 4 | "She almost laughed." | | 5 | "She hated that she almost" | | 6 | "Ptolemy, who fancied himself the" | | 7 | "Traitor, she thought." | | 8 | "She bent, scooped him up," | | 9 | "He looked at her properly" | | 10 | "She held the door for" | | 11 | "He stepped inside." | | 12 | "He didn't touch anything." | | 13 | "He never did." | | 14 | "He simply observed — the" | | 15 | "His gaze paused there a" | | 16 | "She set Ptolemy down." | | 17 | "She crossed her arms." | | 18 | "The crescent scar on her" | | 19 | "He didn't sit." |
| | ratio | 0.826 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 46 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 1 | | matches | | 0 | "On Eva's terrible sagging sofa, a half-demon fixer in a thousand-pound suit, with her hand still holding his wrist as if she'd forgotten to let go." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 48 | | tagDensity | 0.271 | | leniency | 0.542 | | rawRatio | 0.077 | | effectiveRatio | 0.042 | |