| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.415 | | leniency | 0.829 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1053 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 81.01% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1053 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "charm" | | 1 | "silence" | | 2 | "weight" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 46 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 46 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 70 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 64 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 7 | | totalWords | 1057 | | ratio | 0.007 | | matches | | 0 | "I'm not dead, don't waste your worry." |
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| 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 | 9 | | wordCount | 649 | | uniqueNames | 3 | | maxNameDensity | 0.62 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Aurora" | | discoveredNames | | | persons | | 0 | "Aurora" | | 1 | "Ptolemy" | | 2 | "Lucien" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 71.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 32 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like two different men deciding wh" |
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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 | 1057 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 70 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 25.78 | | std | 21.87 | | cv | 0.848 | | sampleLengths | | 0 | 30 | | 1 | 58 | | 2 | 6 | | 3 | 22 | | 4 | 18 | | 5 | 63 | | 6 | 3 | | 7 | 43 | | 8 | 10 | | 9 | 12 | | 10 | 15 | | 11 | 27 | | 12 | 38 | | 13 | 26 | | 14 | 2 | | 15 | 43 | | 16 | 9 | | 17 | 1 | | 18 | 2 | | 19 | 55 | | 20 | 32 | | 21 | 27 | | 22 | 3 | | 23 | 52 | | 24 | 43 | | 25 | 32 | | 26 | 5 | | 27 | 12 | | 28 | 71 | | 29 | 71 | | 30 | 34 | | 31 | 12 | | 32 | 2 | | 33 | 3 | | 34 | 53 | | 35 | 64 | | 36 | 4 | | 37 | 42 | | 38 | 4 | | 39 | 2 | | 40 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 46 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 116 | | matches | (empty) | |
| 20.41% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 70 | | ratio | 0.043 | | matches | | 0 | "Aurora glanced back into the flat — the slope of books, the scrolls she'd half-unrolled across the table, the mug of tea going cold — and weighed the cost of letting him over the threshold against the cost of the conversation he'd start if she didn't." | | 1 | "She heard the cane, the careful shift of weight, and then he was close enough that she caught the scent of him under the rain — cedar, smoke, something darker beneath that she'd never been able to name." | | 2 | "She thought of every reason — the locks, the hurt, the version of herself she'd built in his absence, careful and contained." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 648 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.026234567901234566 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.004629629629629629 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 70 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 70 | | mean | 15.1 | | std | 12.69 | | cv | 0.84 | | sampleLengths | | 0 | 30 | | 1 | 20 | | 2 | 38 | | 3 | 6 | | 4 | 17 | | 5 | 5 | | 6 | 18 | | 7 | 16 | | 8 | 1 | | 9 | 46 | | 10 | 3 | | 11 | 28 | | 12 | 15 | | 13 | 10 | | 14 | 12 | | 15 | 11 | | 16 | 4 | | 17 | 11 | | 18 | 16 | | 19 | 4 | | 20 | 34 | | 21 | 13 | | 22 | 13 | | 23 | 2 | | 24 | 22 | | 25 | 21 | | 26 | 5 | | 27 | 4 | | 28 | 1 | | 29 | 2 | | 30 | 20 | | 31 | 35 | | 32 | 3 | | 33 | 29 | | 34 | 6 | | 35 | 21 | | 36 | 3 | | 37 | 32 | | 38 | 20 | | 39 | 21 | | 40 | 22 | | 41 | 11 | | 42 | 21 | | 43 | 5 | | 44 | 7 | | 45 | 5 | | 46 | 8 | | 47 | 23 | | 48 | 2 | | 49 | 38 |
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| 73.81% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4857142857142857 | | totalSentences | 70 | | uniqueOpeners | 34 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 34 | | matches | | 0 | "Somewhere below, the curry house" | | 1 | "Then she thought of the" |
| | ratio | 0.059 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 34 | | matches | | 0 | "She kept one hand on" | | 1 | "She stepped aside." | | 2 | "He came in the way" | | 3 | "His gaze moved over the" | | 4 | "He set the cane against" | | 5 | "He smiled, but it didn't" | | 6 | "He lowered himself onto the" | | 7 | "She gestured at the whole" | | 8 | "He took his time pulling" | | 9 | "He lifted his eyes to" | | 10 | "She crossed to the table" | | 11 | "she said, not looking at" | | 12 | "She set the scroll down" | | 13 | "She heard the cane, the" | | 14 | "He was nearer than she'd" | | 15 | "His hand lifted, hovered near" | | 16 | "Her heart slammed against her" | | 17 | "She thought of every reason" | | 18 | "He let out a breath" | | 19 | "His thumb came to rest," |
| | ratio | 0.588 | |
| 18.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 30 | | totalSentences | 34 | | matches | | 0 | "The three deadbolts gave way" | | 1 | "Lucien stood on the landing" | | 2 | "The single bulb above the" | | 3 | "She kept one hand on" | | 4 | "Aurora glanced back into the" | | 5 | "She stepped aside." | | 6 | "He came in the way" | | 7 | "His gaze moved over the" | | 8 | "He set the cane against" | | 9 | "The flat had never felt" | | 10 | "Aurora folded her arms and" | | 11 | "He smiled, but it didn't" | | 12 | "He lowered himself onto the" | | 13 | "Ptolemy leapt up beside him" | | 14 | "She gestured at the whole" | | 15 | "The smile faded." | | 16 | "He took his time pulling" | | 17 | "He lifted his eyes to" | | 18 | "Aurora's throat tightened, and she" | | 19 | "She crossed to the table" |
| | ratio | 0.882 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 34 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 95.59% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, not looking at him" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 2 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "he murmured (murmur)" |
| | dialogueSentences | 41 | | tagDensity | 0.244 | | leniency | 0.488 | | rawRatio | 0.2 | | effectiveRatio | 0.098 | |