| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 26 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 71 | | tagDensity | 0.366 | | leniency | 0.732 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1716 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 85.43% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1716 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "shimmered" | | 1 | "whisper" | | 2 | "rhythmic" | | 3 | "warmth" | | 4 | "pulse" |
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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 | 166 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 166 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 212 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1714 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 24.05% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 71 | | wordCount | 1310 | | uniqueNames | 10 | | maxNameDensity | 2.52 | | worstName | "Aurora" | | maxWindowNameDensity | 4 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 2 | | Aurora | 33 | | Richmond | 1 | | Park | 1 | | Nyx | 12 | | Fae-Forged | 1 | | Blade | 1 | | Isolde | 15 | | London | 1 | | One | 4 |
| | persons | | 0 | "Heartstone" | | 1 | "Aurora" | | 2 | "Nyx" | | 3 | "Isolde" | | 4 | "One" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" |
| | globalScore | 0.24 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 110 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a creature from a story" |
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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 | 1714 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 212 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 101 | | mean | 16.97 | | std | 15.9 | | cv | 0.937 | | sampleLengths | | 0 | 13 | | 1 | 35 | | 2 | 21 | | 3 | 6 | | 4 | 21 | | 5 | 33 | | 6 | 21 | | 7 | 6 | | 8 | 5 | | 9 | 10 | | 10 | 11 | | 11 | 28 | | 12 | 16 | | 13 | 9 | | 14 | 7 | | 15 | 7 | | 16 | 74 | | 17 | 11 | | 18 | 8 | | 19 | 10 | | 20 | 16 | | 21 | 4 | | 22 | 5 | | 23 | 6 | | 24 | 11 | | 25 | 40 | | 26 | 5 | | 27 | 75 | | 28 | 31 | | 29 | 24 | | 30 | 4 | | 31 | 5 | | 32 | 7 | | 33 | 7 | | 34 | 14 | | 35 | 11 | | 36 | 2 | | 37 | 32 | | 38 | 40 | | 39 | 6 | | 40 | 11 | | 41 | 6 | | 42 | 15 | | 43 | 38 | | 44 | 6 | | 45 | 3 | | 46 | 31 | | 47 | 27 | | 48 | 12 | | 49 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 166 | | matches | | 0 | "being folded" | | 1 | "been stitched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 227 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 212 | | ratio | 0.014 | | matches | | 0 | "Fine marks covered its face—spirals, hooked strokes, tiny carved mouths." | | 1 | "A smell rushed in—fermented fruit, damp earth, hot sugar." | | 2 | "One was a broad-shouldered older man; the other, a young woman with close-cropped hair." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1159 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.01984469370146678 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.001725625539257981 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 212 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 212 | | mean | 8.08 | | std | 4.08 | | cv | 0.505 | | sampleLengths | | 0 | 13 | | 1 | 6 | | 2 | 12 | | 3 | 4 | | 4 | 13 | | 5 | 13 | | 6 | 8 | | 7 | 6 | | 8 | 8 | | 9 | 5 | | 10 | 8 | | 11 | 9 | | 12 | 9 | | 13 | 15 | | 14 | 10 | | 15 | 11 | | 16 | 6 | | 17 | 5 | | 18 | 7 | | 19 | 3 | | 20 | 6 | | 21 | 5 | | 22 | 8 | | 23 | 5 | | 24 | 15 | | 25 | 16 | | 26 | 6 | | 27 | 3 | | 28 | 7 | | 29 | 4 | | 30 | 3 | | 31 | 4 | | 32 | 10 | | 33 | 14 | | 34 | 6 | | 35 | 17 | | 36 | 10 | | 37 | 13 | | 38 | 3 | | 39 | 8 | | 40 | 8 | | 41 | 10 | | 42 | 6 | | 43 | 10 | | 44 | 4 | | 45 | 5 | | 46 | 6 | | 47 | 11 | | 48 | 3 | | 49 | 7 |
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| 57.70% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3632075471698113 | | totalSentences | 212 | | uniqueOpeners | 77 | |
| 23.64% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 141 | | matches | | 0 | "Then a thin sound threaded" |
| | ratio | 0.007 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 141 | | matches | | 0 | "She stopped between two yew" | | 1 | "She had left no prints" | | 2 | "Her pale eyes rested on" | | 3 | "Her fingers passed between the" | | 4 | "Her pendant beat once, warm" | | 5 | "Their shadow stretched thin over" | | 6 | "It pressed against her ears," | | 7 | "Her boots landed on pale" | | 8 | "It lit rows of vineyards" | | 9 | "Its opening showed the same" | | 10 | "She crouched near a vine." | | 11 | "They followed the road." | | 12 | "Its water ran uphill, clear" | | 13 | "Their reflection in the stream" | | 14 | "Their reflection remained crouched." | | 15 | "Their voice lost its airy" | | 16 | "It flowed around her shadowless" | | 17 | "They might have stepped out" | | 18 | "He cut a bundle of" | | 19 | "His accent bent the word" |
| | ratio | 0.191 | |
| 30.92% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 121 | | totalSentences | 141 | | matches | | 0 | "The Heartstone warmed against Aurora’s" | | 1 | "She stopped between two yew" | | 2 | "Frost silvered the roots." | | 3 | "A pair of distant deer" | | 4 | "Nyx drifted at her left," | | 5 | "Violet light glimmered where eyes" | | 6 | "Aurora pressed a hand to" | | 7 | "Heat seeped through her glove." | | 8 | "Isolde stood ahead, silver hair" | | 9 | "She had left no prints" | | 10 | "Her pale eyes rested on" | | 11 | "Nyx tilted their head towards" | | 12 | "Aurora drew the Fae-Forged Blade" | | 13 | "The moonsilver edge caught no" | | 14 | "The shadow’s mouth curled." | | 15 | "Isolde raised one hand." | | 16 | "Her fingers passed between the" | | 17 | "The space beyond rippled, like" | | 18 | "The trees seemed to draw" | | 19 | "An arch emerged between their" |
| | ratio | 0.858 | |
| 35.46% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 141 | | matches | | 0 | "Even at this distance, Aurora" |
| | ratio | 0.007 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 1 | | matches | | 0 | "The soil looked dark and rich, split by small pale roots that curled on its surface." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 26 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 25 | | fancyCount | 3 | | fancyTags | | 0 | "they whispered (whisper)" | | 1 | "Isolde murmured (murmur)" | | 2 | "Nyx whispered (whisper)" |
| | dialogueSentences | 71 | | tagDensity | 0.352 | | leniency | 0.704 | | rawRatio | 0.12 | | effectiveRatio | 0.085 | |