| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 50 | | tagDensity | 0.48 | | leniency | 0.96 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1408 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "really" | | 1 | "completely" | | 2 | "slightly" |
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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) | |
| 32.53% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1408 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "gloom" | | 1 | "pulsed" | | 2 | "echo" | | 3 | "scanning" | | 4 | "shimmered" | | 5 | "chill" | | 6 | "chaotic" | | 7 | "velvet" | | 8 | "unreadable" | | 9 | "silence" | | 10 | "warmth" | | 11 | "whisper" | | 12 | "trembled" | | 13 | "vibrated" | | 14 | "echoing" | | 15 | "flickered" |
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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 | 137 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 137 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 163 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1406 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 67 | | wordCount | 1047 | | uniqueNames | 13 | | maxNameDensity | 2.39 | | worstName | "Aurora" | | maxWindowNameDensity | 5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 25 | | Nyx | 13 | | Varga | 1 | | Heartstone | 3 | | Pendant | 2 | | Shade | 3 | | English | 1 | | Fae-Forged | 1 | | Blade | 1 | | London | 1 | | Isolde | 12 | | Fae | 2 | | Veil | 2 |
| | persons | | 0 | "Aurora" | | 1 | "Nyx" | | 2 | "Varga" | | 3 | "Shade" | | 4 | "Isolde" |
| | places | | 0 | "Pendant" | | 1 | "London" | | 2 | "Fae" | | 3 | "Veil" |
| | globalScore | 0.306 | | windowScore | 0 | |
| 32.35% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 4 | | matches | | 0 | "sounded like wind moving through dry leave" | | 1 | "felt like velvet, cool and damp" | | 2 | "looked like heat rising off asphalt, but" | | 3 | "looked like rubies" |
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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 | 1406 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 163 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 29.91 | | std | 18.57 | | cv | 0.621 | | sampleLengths | | 0 | 87 | | 1 | 40 | | 2 | 56 | | 3 | 68 | | 4 | 29 | | 5 | 35 | | 6 | 60 | | 7 | 39 | | 8 | 23 | | 9 | 25 | | 10 | 56 | | 11 | 34 | | 12 | 55 | | 13 | 29 | | 14 | 28 | | 15 | 33 | | 16 | 27 | | 17 | 40 | | 18 | 38 | | 19 | 28 | | 20 | 11 | | 21 | 44 | | 22 | 3 | | 23 | 19 | | 24 | 22 | | 25 | 63 | | 26 | 9 | | 27 | 16 | | 28 | 28 | | 29 | 5 | | 30 | 15 | | 31 | 24 | | 32 | 40 | | 33 | 10 | | 34 | 15 | | 35 | 40 | | 36 | 24 | | 37 | 9 | | 38 | 31 | | 39 | 39 | | 40 | 17 | | 41 | 25 | | 42 | 8 | | 43 | 43 | | 44 | 5 | | 45 | 4 | | 46 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 137 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 186 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 163 | | ratio | 0.012 | | matches | | 0 | "The sounds of London—the traffic, the distant sirens—faded completely." | | 1 | "They did not walk; they flowed." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1050 | | adjectiveStacks | 1 | | stackExamples | | 0 | "heavy, pressing against Aurora's" |
| | adverbCount | 30 | | adverbRatio | 0.02857142857142857 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006666666666666667 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 163 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 163 | | mean | 8.63 | | std | 4.38 | | cv | 0.508 | | sampleLengths | | 0 | 11 | | 1 | 14 | | 2 | 14 | | 3 | 4 | | 4 | 21 | | 5 | 6 | | 6 | 17 | | 7 | 8 | | 8 | 11 | | 9 | 10 | | 10 | 11 | | 11 | 7 | | 12 | 15 | | 13 | 5 | | 14 | 13 | | 15 | 16 | | 16 | 4 | | 17 | 7 | | 18 | 21 | | 19 | 19 | | 20 | 9 | | 21 | 8 | | 22 | 5 | | 23 | 11 | | 24 | 13 | | 25 | 6 | | 26 | 13 | | 27 | 16 | | 28 | 3 | | 29 | 9 | | 30 | 19 | | 31 | 5 | | 32 | 11 | | 33 | 13 | | 34 | 9 | | 35 | 6 | | 36 | 4 | | 37 | 5 | | 38 | 8 | | 39 | 7 | | 40 | 7 | | 41 | 9 | | 42 | 7 | | 43 | 5 | | 44 | 8 | | 45 | 12 | | 46 | 4 | | 47 | 14 | | 48 | 16 | | 49 | 22 |
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| 43.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.25153374233128833 | | totalSentences | 163 | | uniqueOpeners | 41 | |
| 29.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 112 | | matches | | 0 | "Only her voice remained, echoing" |
| | ratio | 0.009 | |
| 66.43% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 112 | | matches | | 0 | "She stepped forward, her boot" | | 1 | "Her bare feet touched the" | | 2 | "She gripped the stone until" | | 3 | "Her voice carried no echo," | | 4 | "She did not look back." | | 5 | "They reached out a hand," | | 6 | "She moved deeper into the" | | 7 | "They walked further." | | 8 | "Their bark shimmered with a" | | 9 | "They didn't sway in the" | | 10 | "She knelt, brushing her fingers" | | 11 | "It felt like velvet, cool" | | 12 | "They stood a few paces" | | 13 | "She stood, wiping the soil" | | 14 | "She stopped near a cluster" | | 15 | "They were smaller than the" | | 16 | "Their shadow stretched long across" | | 17 | "She reached into her pocket" | | 18 | "Her expression remained unreadable, ageless." | | 19 | "It burned now, a sharp" |
| | ratio | 0.384 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 106 | | totalSentences | 112 | | matches | | 0 | "The air grew heavy, pressing" | | 1 | "She stepped forward, her boot" | | 2 | "The stone surface hummed beneath" | | 3 | "The shadow coalesced into a" | | 4 | "Isolde Varga glided past the" | | 5 | "Her bare feet touched the" | | 6 | "Aurora checked the Heartstone Pendant" | | 7 | "The silver chain felt warm," | | 8 | "The deep crimson gem pulsed" | | 9 | "She gripped the stone until" | | 10 | "Her voice carried no echo," | | 11 | "She did not look back." | | 12 | "Nyx tilted their head." | | 13 | "Violet eyes glowed faintly in" | | 14 | "The Shade's voice sounded like" | | 15 | "They reached out a hand," | | 16 | "The shadow rippled like water" | | 17 | "Aurora pulled her jacket tighter." | | 18 | "The temperature dropped ten degrees" | | 19 | "She moved deeper into the" |
| | ratio | 0.946 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 112 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 2 | | matches | | 0 | "She stepped forward, her boot crossing the boundary of the ancient oak standing stones." | | 1 | "The stone surface hummed beneath her sole, a vibration that traveled up her shin." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 50.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 21 | | fancyCount | 5 | | fancyTags | | 0 | "Nyx warned (warn)" | | 1 | "Isolde corrected (correct)" | | 2 | "Nyx observed (observe)" | | 3 | "Nyx urged (urge)" | | 4 | "Nyx hissed (hiss)" |
| | dialogueSentences | 50 | | tagDensity | 0.42 | | leniency | 0.84 | | rawRatio | 0.238 | | effectiveRatio | 0.2 | |