| 90.41% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 29 | | adverbTagCount | 4 | | adverbTags | | 0 | "The name tasted like [like]" | | 1 | "She gestured around [around]" | | 2 | "She turned back [back]" | | 3 | "She glanced back [back]" |
| | dialogueSentences | 73 | | tagDensity | 0.397 | | leniency | 0.795 | | rawRatio | 0.138 | | effectiveRatio | 0.11 | |
| 90.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1511 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 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) | |
| 66.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1511 | | totalAiIsms | 10 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | word | "down my spine" | | count | 1 |
| | 5 | | | 6 | | | 7 | | | 8 | | | 9 | |
| | highlights | | 0 | "rhythmic" | | 1 | "silence" | | 2 | "silk" | | 3 | "scanning" | | 4 | "down my spine" | | 5 | "echoed" | | 6 | "throb" | | 7 | "gleaming" | | 8 | "familiar" | | 9 | "echoing" |
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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 | 114 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 114 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 157 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 2 | | totalWords | 1503 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 983 | | uniqueNames | 19 | | maxNameDensity | 1.63 | | worstName | "Silas" | | maxWindowNameDensity | 4 | | worstWindowName | "Silas" | | discoveredNames | | Soho | 1 | | Tuesday | 1 | | Shaftesbury | 1 | | Avenue | 1 | | London | 1 | | Cardiff | 1 | | Vauxhall | 1 | | Corsas | 1 | | Eva | 13 | | Kensington | 1 | | Cold | 1 | | War | 1 | | Berlin | 1 | | Slim | 1 | | Grey | 1 | | Goose | 1 | | Silas | 16 | | Prague | 1 | | Beirut | 1 |
| | persons | | | places | | 0 | "Soho" | | 1 | "Shaftesbury" | | 2 | "Avenue" | | 3 | "London" | | 4 | "Cardiff" | | 5 | "Vauxhall" | | 6 | "Kensington" | | 7 | "Berlin" | | 8 | "Prague" | | 9 | "Beirut" |
| | globalScore | 0.686 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | 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 | 1503 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 157 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 70 | | mean | 21.47 | | std | 17.54 | | cv | 0.817 | | sampleLengths | | 0 | 37 | | 1 | 16 | | 2 | 5 | | 3 | 9 | | 4 | 80 | | 5 | 45 | | 6 | 14 | | 7 | 6 | | 8 | 44 | | 9 | 3 | | 10 | 15 | | 11 | 65 | | 12 | 6 | | 13 | 34 | | 14 | 2 | | 15 | 49 | | 16 | 6 | | 17 | 35 | | 18 | 37 | | 19 | 23 | | 20 | 45 | | 21 | 20 | | 22 | 36 | | 23 | 2 | | 24 | 8 | | 25 | 38 | | 26 | 18 | | 27 | 38 | | 28 | 21 | | 29 | 28 | | 30 | 5 | | 31 | 28 | | 32 | 5 | | 33 | 30 | | 34 | 5 | | 35 | 37 | | 36 | 3 | | 37 | 49 | | 38 | 16 | | 39 | 23 | | 40 | 7 | | 41 | 42 | | 42 | 12 | | 43 | 6 | | 44 | 17 | | 45 | 22 | | 46 | 27 | | 47 | 30 | | 48 | 3 | | 49 | 3 |
| |
| 99.11% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 114 | | matches | | 0 | "was cracked" | | 1 | "was gone" |
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| 84.39% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 173 | | matches | | 0 | "was listening" | | 1 | "were scanning" | | 2 | "were shaking" |
| |
| 33.67% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 2 | | flaggedSentences | 6 | | totalSentences | 157 | | ratio | 0.038 | | matches | | 0 | "\"You just kicked a man out. You're clearly open for business.\" She reached into her bag—a leather clutch that probably cost more than my month's rent at the flat upstairs—and pulled out a pack of cigarettes." | | 1 | "I caught his eye—hazel and sharp—and gave a microscopic shake of my head." | | 2 | "She looked at the photos on the wall—Silas in Prague, Silas in Beirut, faces of men and women who were ghosts long before they died." | | 3 | "\"No. You're a ghost.\" Eva leaned forward; the posh façade cracking just enough to show the desperation underneath." | | 4 | "I saw the old Eva—the scared girl who used to hide in my room when her parents fought." | | 5 | "He didn't look at the screen; he looked at the door where Eva had vanished." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 974 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.018480492813141684 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.003080082135523614 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 157 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 157 | | mean | 9.57 | | std | 7.02 | | cv | 0.733 | | sampleLengths | | 0 | 14 | | 1 | 23 | | 2 | 4 | | 3 | 12 | | 4 | 5 | | 5 | 9 | | 6 | 9 | | 7 | 26 | | 8 | 7 | | 9 | 21 | | 10 | 17 | | 11 | 12 | | 12 | 14 | | 13 | 4 | | 14 | 2 | | 15 | 13 | | 16 | 14 | | 17 | 6 | | 18 | 6 | | 19 | 20 | | 20 | 18 | | 21 | 3 | | 22 | 9 | | 23 | 6 | | 24 | 3 | | 25 | 8 | | 26 | 15 | | 27 | 18 | | 28 | 21 | | 29 | 6 | | 30 | 4 | | 31 | 5 | | 32 | 22 | | 33 | 3 | | 34 | 2 | | 35 | 36 | | 36 | 1 | | 37 | 2 | | 38 | 10 | | 39 | 3 | | 40 | 3 | | 41 | 23 | | 42 | 7 | | 43 | 5 | | 44 | 6 | | 45 | 2 | | 46 | 14 | | 47 | 13 | | 48 | 2 | | 49 | 9 |
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| 45.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.33121019108280253 | | totalSentences | 157 | | uniqueOpeners | 52 | |
| 32.68% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 102 | | matches | | | ratio | 0.01 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 58 | | totalSentences | 102 | | matches | | 0 | "I didn't shout" | | 1 | "I pointed to the door" | | 2 | "He sat in the shadows," | | 3 | "He trusted me to handle" | | 4 | "I grabbed a rag and" | | 5 | "It was a Tuesday." | | 6 | "It belonged to rainy Cardiff" | | 7 | "It was a voice from" | | 8 | "I looked up." | | 9 | "I hadn't heard her come" | | 10 | "She looked expensive." | | 11 | "Her hair, once a frizzy" | | 12 | "It didn't reach her eyes." | | 13 | "Her eyes were scanning the" | | 14 | "She reached into her bag—a" | | 15 | "I didn't move." | | 16 | "She lit the cigarette with" | | 17 | "I sensed movement in the" | | 18 | "His left leg straightened, the" | | 19 | "I caught his eye—hazel and" |
| | ratio | 0.569 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 97 | | totalSentences | 102 | | matches | | 0 | "Gin sprayed across the sticky" | | 1 | "The drunk in the tweed" | | 2 | "I didn't shout" | | 3 | "I pointed to the door" | | 4 | "Silas didn't even look up" | | 5 | "He sat in the shadows," | | 6 | "He trusted me to handle" | | 7 | "The drunk stumbled off his" | | 8 | "The bell chimed, a cheerful" | | 9 | "I grabbed a rag and" | | 10 | "The green neon sign buzzed" | | 11 | "It was a Tuesday." | | 12 | "The rag froze in my" | | 13 | "The voice didn't belong in" | | 14 | "It belonged to rainy Cardiff" | | 15 | "It was a voice from" | | 16 | "I looked up." | | 17 | "Eva sat at the far" | | 18 | "I hadn't heard her come" | | 19 | "She looked expensive." |
| | ratio | 0.951 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 102 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 6 | | matches | | 0 | "He sat in the shadows, nursing a whiskey that had lasted him three hours, his silver signet ring tapping a slow, rhythmic warning against the glass." | | 1 | "It belonged to rainy Cardiff afternoons, shared cigarettes behind the gym, and whispered secrets about boys who drove Vauxhall Corsas." | | 2 | "This woman wore a camel trench coat that screamed Kensington, with a silk scarf knotted at her throat." | | 3 | "Her hair, once a frizzy brown mess, fell in sleek, ironed sheets around a face that had hardened into something statuesque." | | 4 | "She looked at the photos on the wall—Silas in Prague, Silas in Beirut, faces of men and women who were ghosts long before they died." | | 5 | "I saw the old Eva—the scared girl who used to hide in my room when her parents fought." |
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| 73.28% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 29 | | uselessAdditionCount | 3 | | matches | | 0 | "She took, her fingers brushing mine" | | 1 | "she said, her voice dropping" | | 2 | "Silas said, the shadows swallowing his face" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 2 | | fancyTags | | 0 | "I whispered (whisper)" | | 1 | "he described (describe)" |
| | dialogueSentences | 73 | | tagDensity | 0.11 | | leniency | 0.219 | | rawRatio | 0.25 | | effectiveRatio | 0.055 | |