| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.211 | | leniency | 0.421 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 82.76% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1450 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "carefully" | | 1 | "suddenly" | | 2 | "very" | | 3 | "slowly" | | 4 | "really" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 44.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1450 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "familiar" | | 1 | "glinting" | | 2 | "warmth" | | 3 | "perfect" | | 4 | "flicker" | | 5 | "constructed" | | 6 | "charged" | | 7 | "intensity" | | 8 | "unspoken" | | 9 | "silence" | | 10 | "echoed" | | 11 | "weight" | | 12 | "potential" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 102 | | matches | | 0 | "A flicker of confusion" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 102 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 131 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1444 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 1145 | | uniqueNames | 13 | | maxNameDensity | 0.7 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Carter | 2 | | Rory | 5 | | Silas | 8 | | Blackwood | 1 | | Soho | 1 | | London | 1 | | Eva | 1 | | Aurora | 2 | | Get | 1 | | Cardiff | 1 | | Liam | 2 |
| | persons | | 0 | "Raven" | | 1 | "Carter" | | 2 | "Rory" | | 3 | "Silas" | | 4 | "Blackwood" | | 5 | "Eva" | | 6 | "Aurora" | | 7 | "Get" | | 8 | "Liam" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 79 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like they belonged to other people" |
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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 | 1444 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 131 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 25.33 | | std | 23.24 | | cv | 0.917 | | sampleLengths | | 0 | 122 | | 1 | 87 | | 2 | 26 | | 3 | 7 | | 4 | 62 | | 5 | 40 | | 6 | 2 | | 7 | 15 | | 8 | 28 | | 9 | 45 | | 10 | 15 | | 11 | 31 | | 12 | 31 | | 13 | 2 | | 14 | 54 | | 15 | 18 | | 16 | 11 | | 17 | 16 | | 18 | 3 | | 19 | 49 | | 20 | 25 | | 21 | 13 | | 22 | 60 | | 23 | 45 | | 24 | 4 | | 25 | 24 | | 26 | 39 | | 27 | 15 | | 28 | 5 | | 29 | 6 | | 30 | 23 | | 31 | 5 | | 32 | 4 | | 33 | 32 | | 34 | 6 | | 35 | 33 | | 36 | 2 | | 37 | 21 | | 38 | 6 | | 39 | 2 | | 40 | 44 | | 41 | 47 | | 42 | 38 | | 43 | 5 | | 44 | 61 | | 45 | 22 | | 46 | 7 | | 47 | 3 | | 48 | 24 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 102 | | matches | (empty) | |
| 80.95% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 168 | | matches | | 0 | "was looking" | | 1 | "was listening" | | 2 | "was holding" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 131 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1151 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, pale crescent-shaped scar" |
| | adverbCount | 23 | | adverbRatio | 0.01998262380538662 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.007819287576020852 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 131 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 131 | | mean | 11.02 | | std | 7.8 | | cv | 0.708 | | sampleLengths | | 0 | 11 | | 1 | 23 | | 2 | 24 | | 3 | 19 | | 4 | 8 | | 5 | 16 | | 6 | 21 | | 7 | 15 | | 8 | 19 | | 9 | 14 | | 10 | 12 | | 11 | 27 | | 12 | 10 | | 13 | 16 | | 14 | 7 | | 15 | 3 | | 16 | 16 | | 17 | 13 | | 18 | 16 | | 19 | 14 | | 20 | 10 | | 21 | 10 | | 22 | 13 | | 23 | 7 | | 24 | 2 | | 25 | 3 | | 26 | 8 | | 27 | 4 | | 28 | 8 | | 29 | 20 | | 30 | 9 | | 31 | 23 | | 32 | 13 | | 33 | 12 | | 34 | 3 | | 35 | 31 | | 36 | 19 | | 37 | 12 | | 38 | 2 | | 39 | 21 | | 40 | 33 | | 41 | 18 | | 42 | 8 | | 43 | 3 | | 44 | 4 | | 45 | 12 | | 46 | 3 | | 47 | 13 | | 48 | 36 | | 49 | 7 |
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| 39.31% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.2595419847328244 | | totalSentences | 131 | | uniqueOpeners | 34 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 97 | | matches | (empty) | | ratio | 0 | |
| 30.31% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 97 | | matches | | 0 | "He didn’t need to ask" | | 1 | "He pushed it forward, the" | | 2 | "He shook the rain from" | | 3 | "His voice, when it came," | | 4 | "He was looking at the" | | 5 | "He had filled out, the" | | 6 | "He turned then, his eyes" | | 7 | "Her breath caught." | | 8 | "She hadn’t heard that full" | | 9 | "It was the grin of" | | 10 | "She lifted her glass, the" | | 11 | "She took a sip of" | | 12 | "He looked around the bar," | | 13 | "She gestured with her chin" | | 14 | "His eyebrows shot up." | | 15 | "He took a long drink" | | 16 | "She hadn’t called." | | 17 | "She had cut the cord" | | 18 | "He leaned forward, his elbows" | | 19 | "She didn’t smile at the" |
| | ratio | 0.474 | |
| 1.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 97 | | matches | | 0 | "The low hum of the" | | 1 | "Aurora Carter, Rory to the" | | 2 | "The air smelled of old" | | 3 | "He didn’t need to ask" | | 4 | "A short glass appeared before" | | 5 | "He pushed it forward, the" | | 6 | "The door swung open, a" | | 7 | "A man stood in the" | | 8 | "He shook the rain from" | | 9 | "Silas glanced up, a quick," | | 10 | "Rory paid him no mind," | | 11 | "The man approached the bar," | | 12 | "His voice, when it came," | | 13 | "Rory’s head turned." | | 14 | "The voice was deeper than" | | 15 | "He was looking at the" | | 16 | "He had filled out, the" | | 17 | "Silas drew the pint, the" | | 18 | "The man took it, his" | | 19 | "He turned then, his eyes" |
| | ratio | 0.918 | |
| 51.55% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 97 | | matches | | | ratio | 0.01 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 4 | | matches | | 0 | "But the way he pushed a hand through his hair, that was the same." | | 1 | "He looked around the bar, at the black-and-white photographs on the walls, at Silas who was now meticulously polishing a pint glass with an intensity that sugge…" | | 2 | "Her gaze drifted to her left wrist, to the small, pale crescent-shaped scar that peeked out from under her sleeve." | | 3 | "The brilliant Aurora Carter, who could argue anyone into a corner, who had a mind like a razor, was now walking other people’s food to their doors." |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | 0 | "he began, his voice softer now" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |