| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 67 | | tagDensity | 0.224 | | leniency | 0.448 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1413 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "really" | | 2 | "carefully" |
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| 60.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 78.77% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1413 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "scanned" | | 1 | "measured" | | 2 | "eyebrow" | | 3 | "comfortable" | | 4 | "efficient" | | 5 | "silence" |
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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 | 77 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 77 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 128 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1409 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 62 | | wordCount | 874 | | uniqueNames | 16 | | maxNameDensity | 2.29 | | worstName | "Megan" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Megan" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Tuesday | 1 | | Covent | 1 | | Garden | 1 | | Soho | 2 | | Rory | 18 | | Megan | 20 | | Cardiff | 1 | | Evan | 2 | | Eva | 1 | | Paddington | 1 | | Silas | 6 | | Bombay | 1 | | Sapphire | 1 | | Owen | 4 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Megan" | | 4 | "Evan" | | 5 | "Eva" | | 6 | "Silas" | | 7 | "Owen" |
| | places | | 0 | "Covent" | | 1 | "Garden" | | 2 | "Soho" | | 3 | "Cardiff" | | 4 | "Paddington" |
| | globalScore | 0.356 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | 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 | 1409 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 128 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 71 | | mean | 19.85 | | std | 19.92 | | cv | 1.004 | | sampleLengths | | 0 | 51 | | 1 | 30 | | 2 | 1 | | 3 | 21 | | 4 | 53 | | 5 | 6 | | 6 | 2 | | 7 | 66 | | 8 | 4 | | 9 | 11 | | 10 | 4 | | 11 | 39 | | 12 | 29 | | 13 | 3 | | 14 | 5 | | 15 | 16 | | 16 | 25 | | 17 | 17 | | 18 | 12 | | 19 | 6 | | 20 | 1 | | 21 | 39 | | 22 | 3 | | 23 | 23 | | 24 | 64 | | 25 | 6 | | 26 | 1 | | 27 | 29 | | 28 | 2 | | 29 | 60 | | 30 | 16 | | 31 | 15 | | 32 | 5 | | 33 | 3 | | 34 | 40 | | 35 | 35 | | 36 | 63 | | 37 | 3 | | 38 | 52 | | 39 | 20 | | 40 | 6 | | 41 | 39 | | 42 | 9 | | 43 | 7 | | 44 | 53 | | 45 | 13 | | 46 | 14 | | 47 | 2 | | 48 | 3 | | 49 | 59 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 77 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 148 | | matches | (empty) | |
| 98.21% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 128 | | ratio | 0.016 | | matches | | 0 | "A small gold pendant rested at her throat—something new, something expensive." | | 1 | "Rory looked at Megan's face—the carefully applied makeup, the controlled expression, the gold pendant that probably cost more than two months of rent—and saw the cost of all those years." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 882 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.02040816326530612 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.005668934240362812 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 128 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 128 | | mean | 11.01 | | std | 9.8 | | cv | 0.89 | | sampleLengths | | 0 | 9 | | 1 | 20 | | 2 | 22 | | 3 | 30 | | 4 | 1 | | 5 | 21 | | 6 | 20 | | 7 | 6 | | 8 | 27 | | 9 | 5 | | 10 | 1 | | 11 | 2 | | 12 | 5 | | 13 | 14 | | 14 | 19 | | 15 | 3 | | 16 | 25 | | 17 | 4 | | 18 | 10 | | 19 | 1 | | 20 | 4 | | 21 | 4 | | 22 | 5 | | 23 | 27 | | 24 | 2 | | 25 | 1 | | 26 | 18 | | 27 | 11 | | 28 | 3 | | 29 | 5 | | 30 | 6 | | 31 | 10 | | 32 | 11 | | 33 | 8 | | 34 | 6 | | 35 | 17 | | 36 | 4 | | 37 | 8 | | 38 | 6 | | 39 | 1 | | 40 | 14 | | 41 | 11 | | 42 | 14 | | 43 | 3 | | 44 | 21 | | 45 | 2 | | 46 | 7 | | 47 | 1 | | 48 | 12 | | 49 | 10 |
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| 58.59% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3984375 | | totalSentences | 128 | | uniqueOpeners | 51 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 70 | | matches | | 0 | "He grunted in response, the" | | 1 | "Her gaze landed on Rory." | | 2 | "She approached the bar with" | | 3 | "She gave a small nod." | | 4 | "He reached for the Bombay" | | 5 | "He raised an eyebrow at" | | 6 | "She'd lost the soft roundness" | | 7 | "She rubbed the crescent scar" | | 8 | "She left a twenty-pound note" | | 9 | "He made a non-committal sound" | | 10 | "he said, still not looking" | | 11 | "He finally met her eyes," |
| | ratio | 0.171 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 70 | | matches | | 0 | "The Raven's Nest hummed with" | | 1 | "Rory settled onto her usual" | | 2 | "Silas placed a glass of" | | 3 | "He grunted in response, the" | | 4 | "The door swung open, letting" | | 5 | "Rory's fingers tightened around the" | | 6 | "The woman shook rain from" | | 7 | "Her gaze landed on Rory." | | 8 | "Megan's mouth opened, then closed." | | 9 | "She approached the bar with" | | 10 | "The last time Rory had" | | 11 | "A lifetime in Cardiff, before" | | 12 | "Rory swirled the ice in" | | 13 | "Silas glanced at Rory." | | 14 | "She gave a small nod." | | 15 | "He reached for the Bombay" | | 16 | "Megan perched on the stool" | | 17 | "A small gold pendant rested" | | 18 | "Megan laughed, the sound too" | | 19 | "Rory drained the rest of" |
| | ratio | 0.971 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 96.77% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 2 | | matches | | 0 | "Owen, who had held Rory's hand through first-year contracts revision." | | 1 | "Owen, who had looked the other way when Evan grabbed Rory's arm too hard at that party in third year, because confrontation made him uncomfortable." |
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| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | 0 | "Megan straightened, that barrister posture clicking into place" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 67 | | tagDensity | 0.03 | | leniency | 0.06 | | rawRatio | 0.5 | | effectiveRatio | 0.03 | |