| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1245 | | 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) | |
| 31.73% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1245 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "loomed" | | 1 | "weight" | | 2 | "scanned" | | 3 | "warmth" | | 4 | "pulsed" | | 5 | "pulse" | | 6 | "silence" | | 7 | "echoed" | | 8 | "vibrated" | | 9 | "trembled" |
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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 | 160 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 160 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 160 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1242 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 1242 | | uniqueNames | 9 | | maxNameDensity | 0.81 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 1 | | Park | 1 | | Grove | 4 | | Heartstone | 2 | | Hel | 1 | | London | 1 | | Golden | 1 | | Empress | 1 | | Rory | 10 |
| | persons | | 0 | "Carter" | | 1 | "Grove" | | 2 | "Empress" | | 3 | "Rory" |
| | places | | 0 | "Park" | | 1 | "London" | | 2 | "Golden" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 96 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like breathing, ragged and wet" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.805 | | wordCount | 1242 | | matches | | 0 | "not from the shape, but from the air around it" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 160 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 23.88 | | std | 18.55 | | cv | 0.777 | | sampleLengths | | 0 | 75 | | 1 | 77 | | 2 | 13 | | 3 | 46 | | 4 | 23 | | 5 | 46 | | 6 | 6 | | 7 | 24 | | 8 | 2 | | 9 | 40 | | 10 | 36 | | 11 | 48 | | 12 | 3 | | 13 | 44 | | 14 | 8 | | 15 | 3 | | 16 | 56 | | 17 | 3 | | 18 | 44 | | 19 | 13 | | 20 | 4 | | 21 | 32 | | 22 | 38 | | 23 | 26 | | 24 | 36 | | 25 | 18 | | 26 | 4 | | 27 | 25 | | 28 | 39 | | 29 | 12 | | 30 | 3 | | 31 | 33 | | 32 | 5 | | 33 | 16 | | 34 | 3 | | 35 | 36 | | 36 | 22 | | 37 | 2 | | 38 | 28 | | 39 | 37 | | 40 | 6 | | 41 | 32 | | 42 | 29 | | 43 | 31 | | 44 | 13 | | 45 | 4 | | 46 | 35 | | 47 | 7 | | 48 | 4 | | 49 | 31 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 160 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 224 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 160 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1245 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 27 | | adverbRatio | 0.021686746987951807 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.005622489959839358 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 160 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 160 | | mean | 7.76 | | std | 4.58 | | cv | 0.589 | | sampleLengths | | 0 | 17 | | 1 | 19 | | 2 | 15 | | 3 | 10 | | 4 | 14 | | 5 | 13 | | 6 | 11 | | 7 | 13 | | 8 | 23 | | 9 | 17 | | 10 | 13 | | 11 | 2 | | 12 | 18 | | 13 | 5 | | 14 | 21 | | 15 | 7 | | 16 | 3 | | 17 | 3 | | 18 | 10 | | 19 | 9 | | 20 | 12 | | 21 | 17 | | 22 | 8 | | 23 | 6 | | 24 | 7 | | 25 | 9 | | 26 | 3 | | 27 | 5 | | 28 | 2 | | 29 | 9 | | 30 | 4 | | 31 | 16 | | 32 | 11 | | 33 | 7 | | 34 | 11 | | 35 | 7 | | 36 | 11 | | 37 | 4 | | 38 | 7 | | 39 | 2 | | 40 | 4 | | 41 | 11 | | 42 | 9 | | 43 | 11 | | 44 | 2 | | 45 | 1 | | 46 | 4 | | 47 | 11 | | 48 | 13 | | 49 | 10 |
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| 43.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.29375 | | totalSentences | 160 | | uniqueOpeners | 47 | |
| 22.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 148 | | matches | | | ratio | 0.007 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 148 | | matches | | 0 | "She pulled her jacket tighter" | | 1 | "She touched the small crescent-shaped" | | 2 | "She turned, head snapping toward" | | 3 | "Her voice sounded flat, absorbed" | | 4 | "She unclasped the top button" | | 5 | "She spun around, hands curling" | | 6 | "She took a step forward," | | 7 | "She lifted her foot." | | 8 | "She walked toward the center" | | 9 | "It clung to her legs," | | 10 | "It stood tall, limbs elongated," | | 11 | "She stopped walking." | | 12 | "I know you're there." | | 13 | "It shifted, mimicking the sway" | | 14 | "Her pulse hammered against her" | | 15 | "She forced her hands to" | | 16 | "She needed clarity." | | 17 | "It had no face, only" | | 18 | "It wore the darkness like" | | 19 | "She pulled back." |
| | ratio | 0.257 | |
| 7.30% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 134 | | totalSentences | 148 | | matches | | 0 | "The ancient oak standing stones" | | 1 | "Aurora Carter stepped between them," | | 2 | "Richmond Park slept beyond the" | | 3 | "Night here possessed a weight," | | 4 | "She pulled her jacket tighter" | | 5 | "Wildflowers bloomed at her feet," | | 6 | "Blues and violets glowed with" | | 7 | "Rory scanned the clearing, her" | | 8 | "The Heartstone pendant rested against" | | 9 | "Warmth radiated from the stone," | | 10 | "The heat pulsed in rhythm" | | 11 | "A Hel portal lay nearby." | | 12 | "The codex entries she had" | | 13 | "Silence filled the space between" | | 14 | "The stillness felt manufactured, a" | | 15 | "Rory shifted her weight, boots" | | 16 | "The sound echoed too far," | | 17 | "She touched the small crescent-shaped" | | 18 | "The skin felt cold compared" | | 19 | "A rustle came from the" |
| | ratio | 0.905 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 148 | | matches | | 0 | "If she stayed too long," | | 1 | "To leave, she needed the" | | 2 | "If she could touch the" |
| | ratio | 0.02 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |