| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 1 | | adverbTags | | 0 | "The glow brightened then [then]" |
| | dialogueSentences | 30 | | tagDensity | 0.233 | | leniency | 0.467 | | rawRatio | 0.143 | | effectiveRatio | 0.067 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 810 | | 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) | |
| 50.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 810 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "glistening" | | 1 | "etched" | | 2 | "pulse" | | 3 | "crystal" | | 4 | "warmth" |
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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 | 119 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 119 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 141 | | 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 | 4 | | markdownWords | 11 | | totalWords | 802 | | ratio | 0.014 | | matches | | 0 | "breathed" | | 1 | "Fresh" | | 2 | "leak" | | 3 | "They’re here. I see it in the shadows." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 560 | | uniqueNames | 8 | | maxNameDensity | 1.96 | | worstName | "Harlow" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Grady" | | discoveredNames | | Veil | 1 | | Market | 1 | | Blood | 1 | | Grady | 7 | | Lila | 5 | | Morris | 3 | | Harlow | 11 | | Pulled | 3 |
| | persons | | 0 | "Market" | | 1 | "Blood" | | 2 | "Grady" | | 3 | "Lila" | | 4 | "Morris" | | 5 | "Harlow" | | 6 | "Pulled" |
| | places | (empty) | | globalScore | 0.518 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 32 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 802 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 141 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 17.06 | | std | 13.95 | | cv | 0.817 | | sampleLengths | | 0 | 15 | | 1 | 5 | | 2 | 61 | | 3 | 27 | | 4 | 46 | | 5 | 7 | | 6 | 50 | | 7 | 3 | | 8 | 24 | | 9 | 3 | | 10 | 40 | | 11 | 7 | | 12 | 12 | | 13 | 36 | | 14 | 11 | | 15 | 38 | | 16 | 6 | | 17 | 2 | | 18 | 17 | | 19 | 23 | | 20 | 16 | | 21 | 20 | | 22 | 22 | | 23 | 17 | | 24 | 33 | | 25 | 10 | | 26 | 7 | | 27 | 30 | | 28 | 3 | | 29 | 23 | | 30 | 11 | | 31 | 7 | | 32 | 12 | | 33 | 24 | | 34 | 25 | | 35 | 1 | | 36 | 2 | | 37 | 9 | | 38 | 3 | | 39 | 15 | | 40 | 11 | | 41 | 5 | | 42 | 28 | | 43 | 20 | | 44 | 4 | | 45 | 3 | | 46 | 8 |
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| 99.37% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 119 | | matches | | 0 | "been wrenched" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 123 | | matches | | |
| 41.54% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 141 | | ratio | 0.035 | | matches | | 0 | "Damp air hit her face, thick with the stench of mildewed paper and something sharper—compound, like overripe fruit." | | 1 | "The Veil Market *breathed*—always." | | 2 | "Not a clean slice—ragged, as if the blade had been wrenched." | | 3 | "The needle spun, faster than usual, then stilled—pointed directly at her chest." | | 4 | "Not enchanted—forged." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 567 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.024691358024691357 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.003527336860670194 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 141 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 141 | | mean | 5.69 | | std | 4.35 | | cv | 0.764 | | sampleLengths | | 0 | 7 | | 1 | 5 | | 2 | 3 | | 3 | 5 | | 4 | 10 | | 5 | 18 | | 6 | 16 | | 7 | 17 | | 8 | 2 | | 9 | 1 | | 10 | 13 | | 11 | 4 | | 12 | 5 | | 13 | 2 | | 14 | 3 | | 15 | 5 | | 16 | 8 | | 17 | 4 | | 18 | 1 | | 19 | 1 | | 20 | 4 | | 21 | 8 | | 22 | 12 | | 23 | 7 | | 24 | 2 | | 25 | 11 | | 26 | 4 | | 27 | 11 | | 28 | 10 | | 29 | 4 | | 30 | 8 | | 31 | 3 | | 32 | 7 | | 33 | 4 | | 34 | 1 | | 35 | 6 | | 36 | 4 | | 37 | 2 | | 38 | 3 | | 39 | 5 | | 40 | 2 | | 41 | 5 | | 42 | 6 | | 43 | 3 | | 44 | 19 | | 45 | 7 | | 46 | 2 | | 47 | 4 | | 48 | 1 | | 49 | 5 |
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| 87.23% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5319148936170213 | | totalSentences | 141 | | uniqueOpeners | 75 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 88 | | matches | | 0 | "Just a single drop, glistening" | | 1 | "Just for a second." | | 2 | "For good reason." |
| | ratio | 0.034 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 88 | | matches | | 0 | "Her watch ticked." | | 1 | "She pulled a crumpled photo" | | 2 | "Her throat was cut." | | 3 | "She hadn’t bled out." | | 4 | "She knelt, touched the drop" | | 5 | "It dissolved, releasing a scent" | | 6 | "She didn’t answer." | | 7 | "It drained life." | | 8 | "She stood, compass in hand," | | 9 | "She started up the steps." | | 10 | "He didn’t answer." | | 11 | "She held up the crystal." | | 12 | "She flipped to the last" | | 13 | "I see it in the" | | 14 | "They were here." |
| | ratio | 0.17 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 88 | | matches | | 0 | "The bone token slipped between" | | 1 | "The lock clicked." | | 2 | "Harlow stepped into the dark." | | 3 | "The first step down swallowed" | | 4 | "Graffiti scrawled the walls, most" | | 5 | "The Veil Market *breathed*—always." | | 6 | "Her watch ticked." | | 7 | "She pulled a crumpled photo" | | 8 | "A woman, younger, grinning." | | 9 | "Harlow had met her once," | | 10 | "Blood hit the back of" | | 11 | "Lila lay at the base" | | 12 | "Her throat was cut." | | 13 | "That was wrong." | | 14 | "She hadn’t bled out." | | 15 | "Boots clomped on the steps." | | 16 | "She knelt, touched the drop" | | 17 | "It dissolved, releasing a scent" | | 18 | "Grady crossed his arms." | | 19 | "Verdigris patina, sigils etched into" |
| | ratio | 0.614 | |
| 56.82% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 88 | | matches | | | ratio | 0.011 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 10 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.133 | | leniency | 0.267 | | rawRatio | 0 | | effectiveRatio | 0 | |