| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 2 | | adverbTags | | 0 | "Her voice wavered slightly [slightly]" | | 1 | "Lucien admitted finally [finally]" |
| | dialogueSentences | 36 | | tagDensity | 0.583 | | leniency | 1 | | rawRatio | 0.095 | | effectiveRatio | 0.095 | |
| 75.96% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1040 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "very" | | 2 | "softly" | | 3 | "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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1040 | | totalAiIsms | 29 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | |
| | highlights | | 0 | "simmering" | | 1 | "quickened" | | 2 | "anticipation" | | 3 | "gleaming" | | 4 | "reminder" | | 5 | "wavered" | | 6 | "echoed" | | 7 | "familiar" | | 8 | "chaotic" | | 9 | "shattered" | | 10 | "tracing" | | 11 | "pulse" | | 12 | "furrowed" | | 13 | "velvet" | | 14 | "tension" | | 15 | "flicker" | | 16 | "silence" | | 17 | "resolve" | | 18 | "amidst" | | 19 | "resonance" | | 20 | "silk" | | 21 | "unwavering" | | 22 | "single tear" | | 23 | "weight" | | 24 | "unraveling" |
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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 | 63 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 63 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | 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 | 1033 | | 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 | 16 | | wordCount | 830 | | uniqueNames | 5 | | maxNameDensity | 0.72 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 5 | | Eva | 3 | | Lucien | 6 | | Moreau | 1 | | Rory | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Eva" | | 2 | "Lucien" | | 3 | "Moreau" | | 4 | "Rory" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed untouched a chaotic catalog of knowledge and distraction" |
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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 | 1033 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 25.2 | | std | 13.95 | | cv | 0.554 | | sampleLengths | | 0 | 63 | | 1 | 34 | | 2 | 59 | | 3 | 28 | | 4 | 16 | | 5 | 17 | | 6 | 62 | | 7 | 25 | | 8 | 44 | | 9 | 30 | | 10 | 28 | | 11 | 23 | | 12 | 34 | | 13 | 23 | | 14 | 16 | | 15 | 46 | | 16 | 16 | | 17 | 24 | | 18 | 24 | | 19 | 21 | | 20 | 21 | | 21 | 28 | | 22 | 3 | | 23 | 11 | | 24 | 26 | | 25 | 15 | | 26 | 20 | | 27 | 26 | | 28 | 7 | | 29 | 35 | | 30 | 19 | | 31 | 15 | | 32 | 26 | | 33 | 7 | | 34 | 17 | | 35 | 20 | | 36 | 41 | | 37 | 28 | | 38 | 5 | | 39 | 14 | | 40 | 16 |
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| 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 | 144 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 78 | | ratio | 0.051 | | matches | | 0 | "Three deadbolts—Eva’s meticulous paranoia—clicked open, each metallic thunk a reminder of how secrets locked behind doors tend to fester." | | 1 | "The room—their microcosm—stilled, suspended." | | 2 | "A single tear slipped unnoticed, marking her face; and though her heart ached with the immense weight of things loved and lost, it beat steadily—a reliable soldier." | | 3 | "The moment lingered, dense and fragile, before unfolding softly between them—a new beginning, whispered into existence." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 837 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.035842293906810034 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.019115890083632018 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 13.24 | | std | 6.42 | | cv | 0.485 | | sampleLengths | | 0 | 16 | | 1 | 22 | | 2 | 25 | | 3 | 15 | | 4 | 19 | | 5 | 10 | | 6 | 13 | | 7 | 12 | | 8 | 24 | | 9 | 13 | | 10 | 15 | | 11 | 16 | | 12 | 17 | | 13 | 13 | | 14 | 19 | | 15 | 12 | | 16 | 18 | | 17 | 15 | | 18 | 10 | | 19 | 6 | | 20 | 38 | | 21 | 20 | | 22 | 10 | | 23 | 1 | | 24 | 9 | | 25 | 7 | | 26 | 11 | | 27 | 9 | | 28 | 14 | | 29 | 18 | | 30 | 16 | | 31 | 23 | | 32 | 10 | | 33 | 6 | | 34 | 13 | | 35 | 10 | | 36 | 23 | | 37 | 16 | | 38 | 15 | | 39 | 9 | | 40 | 12 | | 41 | 7 | | 42 | 5 | | 43 | 21 | | 44 | 7 | | 45 | 7 | | 46 | 7 | | 47 | 12 | | 48 | 16 | | 49 | 3 |
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| 79.49% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5 | | totalSentences | 78 | | uniqueOpeners | 39 | |
| 54.64% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 61 | | matches | | 0 | "Just inches between them now," |
| | ratio | 0.016 | |
| 3.61% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 61 | | matches | | 0 | "Her heart quickened as she" | | 1 | "She hadn't stepped foot in" | | 2 | "Her knuckles hovered above the" | | 3 | "She hesitated a moment longer" | | 4 | "Her voice wavered slightly as" | | 5 | "Her foot had barely crossed" | | 6 | "she muttered, nudging the tabby" | | 7 | "She closed the door behind" | | 8 | "His name escaped her lips," | | 9 | "He watched her with those" | | 10 | "His tailored suit fit the" | | 11 | "he drawled, the shadow of" | | 12 | "She set her bag on" | | 13 | "He stood, a fluid motion," | | 14 | "She couldn't deny the magnetism" | | 15 | "he noted, watching the emotions" | | 16 | "she countered, folding her arms" | | 17 | "He cut in smoothly, though" | | 18 | "he murmured, yet the subtle" | | 19 | "She interjected, frustration simmering beneath" |
| | ratio | 0.541 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 61 | | matches | | 0 | "The smell of simmering spices" | | 1 | "Her heart quickened as she" | | 2 | "She hadn't stepped foot in" | | 3 | "Her knuckles hovered above the" | | 4 | "She hesitated a moment longer" | | 5 | "Her voice wavered slightly as" | | 6 | "The familiar mess seemed untouched," | | 7 | "Her foot had barely crossed" | | 8 | "she muttered, nudging the tabby" | | 9 | "She closed the door behind" | | 10 | "His name escaped her lips," | | 11 | "Lucien Moreau, leaning against the" | | 12 | "He watched her with those" | | 13 | "His tailored suit fit the" | | 14 | "The cane, his signature accessory," | | 15 | "he drawled, the shadow of" | | 16 | "Aurora's pulse thumped in her" | | 17 | "She set her bag on" | | 18 | "He stood, a fluid motion," | | 19 | "That woman always had a" |
| | ratio | 0.934 | |
| 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 | 32 | | technicalSentenceCount | 1 | | matches | | 0 | "But the quietude shattered at the sight meeting her eyes, jarring the very air she breathed." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 6 | | matches | | 0 | "He cut, though his tone lost its easy humour" | | 1 | "She interjected, frustration simmering beneath her cool exterior" | | 2 | "Aurora echoed, a word weighted with years" | | 3 | "he offered, voice low," | | 4 | "she began, her voice unwavering," | | 5 | "he confessed, a roughness clinging to every syllable" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 9 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "he drawled (drawl)" | | 2 | "he noted (note)" | | 3 | "he murmured (murmur)" | | 4 | "She interjected (interject)" | | 5 | "Lucien admitted finally (admit)" | | 6 | "he murmured (murmur)" | | 7 | "he admitted (admit)" | | 8 | "he confessed (confess)" |
| | dialogueSentences | 36 | | tagDensity | 0.306 | | leniency | 0.611 | | rawRatio | 0.818 | | effectiveRatio | 0.5 | |