| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.029 | | leniency | 0.059 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1257 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "completely" | | 1 | "slightly" | | 2 | "really" |
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| 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) | |
| 44.31% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1257 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "flicker" | | 1 | "scanned" | | 2 | "navigating" | | 3 | "echoed" | | 4 | "tension" | | 5 | "weight" | | 6 | "pulse" | | 7 | "warmth" | | 8 | "velvet" | | 9 | "intensity" | | 10 | "silence" |
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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 | 0 | | narrationSentences | 72 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 72 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 105 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1255 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 69.54% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 870 | | uniqueNames | 7 | | maxNameDensity | 1.61 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Brick | 1 | | Lane | 1 | | Avaros | 1 | | Soho | 1 | | Lucien | 8 | | Eva | 1 | | Rory | 14 |
| | persons | | | places | | | globalScore | 0.695 | | windowScore | 0.833 | |
| 25.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like a physical weight" | | 1 | "not quite touching" | | 2 | "felt like velvet over steel" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1255 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 105 | | matches | | 0 | "see that she" | | 1 | "hated that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 20.57 | | std | 16.44 | | cv | 0.799 | | sampleLengths | | 0 | 36 | | 1 | 54 | | 2 | 8 | | 3 | 28 | | 4 | 15 | | 5 | 47 | | 6 | 12 | | 7 | 44 | | 8 | 17 | | 9 | 26 | | 10 | 23 | | 11 | 5 | | 12 | 14 | | 13 | 53 | | 14 | 10 | | 15 | 15 | | 16 | 49 | | 17 | 18 | | 18 | 5 | | 19 | 22 | | 20 | 7 | | 21 | 4 | | 22 | 16 | | 23 | 77 | | 24 | 9 | | 25 | 2 | | 26 | 18 | | 27 | 15 | | 28 | 53 | | 29 | 8 | | 30 | 8 | | 31 | 7 | | 32 | 42 | | 33 | 56 | | 34 | 46 | | 35 | 10 | | 36 | 5 | | 37 | 14 | | 38 | 11 | | 39 | 21 | | 40 | 20 | | 41 | 11 | | 42 | 5 | | 43 | 6 | | 44 | 32 | | 45 | 4 | | 46 | 9 | | 47 | 31 | | 48 | 8 | | 49 | 24 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 142 | | matches | (empty) | |
| 34.01% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 3 | | flaggedSentences | 4 | | totalSentences | 105 | | ratio | 0.038 | | matches | | 0 | "The amber eye scanned her face; the black eye remained an ink-blot of mystery." | | 1 | "He didn't smile, but a flicker of something—regret or hunger—crossed his features." | | 2 | "It wasn't a gentle reunion; it was a collision." | | 3 | "It didn't bounce; it landed with a heavy, dead sound, as if it weighed ten pounds." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 876 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.02511415525114155 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0045662100456621 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 105 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 105 | | mean | 11.95 | | std | 6.41 | | cv | 0.536 | | sampleLengths | | 0 | 10 | | 1 | 18 | | 2 | 8 | | 3 | 17 | | 4 | 23 | | 5 | 14 | | 6 | 8 | | 7 | 7 | | 8 | 21 | | 9 | 15 | | 10 | 9 | | 11 | 19 | | 12 | 19 | | 13 | 12 | | 14 | 4 | | 15 | 15 | | 16 | 14 | | 17 | 11 | | 18 | 17 | | 19 | 2 | | 20 | 12 | | 21 | 12 | | 22 | 23 | | 23 | 5 | | 24 | 14 | | 25 | 5 | | 26 | 17 | | 27 | 10 | | 28 | 4 | | 29 | 17 | | 30 | 10 | | 31 | 15 | | 32 | 4 | | 33 | 16 | | 34 | 13 | | 35 | 16 | | 36 | 18 | | 37 | 5 | | 38 | 22 | | 39 | 7 | | 40 | 4 | | 41 | 16 | | 42 | 14 | | 43 | 7 | | 44 | 24 | | 45 | 32 | | 46 | 9 | | 47 | 2 | | 48 | 9 | | 49 | 9 |
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| 41.43% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.22857142857142856 | | totalSentences | 105 | | uniqueOpeners | 24 | |
| 49.02% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 68 | | matches | | 0 | "Instead, a charcoal-grey sleeve brushed" |
| | ratio | 0.015 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 68 | | matches | | 0 | "She expected the damp Brick" | | 1 | "He leaned on his ivory-handled" | | 2 | "He stepped inside without waiting" | | 3 | "He moved with a predatory" | | 4 | "He paused by a stack" | | 5 | "She crossed her arms, her" | | 6 | "Her heart hammered against her" | | 7 | "He didn't smile, but a" | | 8 | "He took a step closer." | | 9 | "He smelled of the rain" | | 10 | "She wanted him to see" | | 11 | "He was tall enough that" | | 12 | "He reached out, his fingers" | | 13 | "He finally closed the gap," | | 14 | "His skin felt like velvet" | | 15 | "His voice dropped an octave," | | 16 | "He leaned in, his breath" | | 17 | "She hated how easily he" | | 18 | "She hated that the sight" | | 19 | "He looked down at her," |
| | ratio | 0.5 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 68 | | matches | | 0 | "Rory slid the third deadbolt" | | 1 | "She expected the damp Brick" | | 2 | "Lucien stood in the dim" | | 3 | "He leaned on his ivory-handled" | | 4 | "The amber eye scanned her" | | 5 | "Rory stepped back, the door" | | 6 | "The scent of expensive sandalwood" | | 7 | "He stepped inside without waiting" | | 8 | "He moved with a predatory" | | 9 | "He paused by a stack" | | 10 | "Rory slammed the door." | | 11 | "The sound echoed through the" | | 12 | "She crossed her arms, her" | | 13 | "Her heart hammered against her" | | 14 | "The light from the window" | | 15 | "He didn't smile, but a" | | 16 | "Rory scoffed, her voice sharp." | | 17 | "He took a step closer." | | 18 | "The distance between them shrank," | | 19 | "He smelled of the rain" |
| | ratio | 0.985 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 6 | | matches | | 0 | "He leaned on his ivory-handled cane, his posture a rigid line of tailored perfection that clashed with the peeling wallpaper of the corridor." | | 1 | "He moved with a predatory grace, navigating the minefield of open grimoires and scattered scrolls that littered the floor." | | 2 | "The warmth radiating from his skin was unnatural, a demonic heat that seeped through her clothes." | | 3 | "Rory gasped into his mouth, her hands sliding up to grip his platinum hair, pulling him closer as if she could merge their skin." | | 4 | "The kiss tasted of old grievances and an attraction that had survived a three-year silence." | | 5 | "He nipped at her lower lip, a sharp sting that made her toes curl." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 34 | | tagDensity | 0.029 | | leniency | 0.059 | | rawRatio | 1 | | effectiveRatio | 0.059 | |