| 64.41% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 4 | | adverbTags | | 0 | "He half-stood then [then]" | | 1 | "He straightened slightly [slightly]" | | 2 | "he said quietly [quietly]" | | 3 | "He laughed bitterly [bitterly]" |
| | dialogueSentences | 59 | | tagDensity | 0.288 | | leniency | 0.576 | | rawRatio | 0.235 | | effectiveRatio | 0.136 | |
| 59.71% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1241 | | totalAiIsmAdverbs | 10 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | |
| | highlights | | 0 | "slowly" | | 1 | "deliberately" | | 2 | "slightly" | | 3 | "perfectly" | | 4 | "really" | | 5 | "completely" |
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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) | |
| 27.48% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1241 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "flickered" | | 1 | "familiar" | | 2 | "stomach" | | 3 | "weight" | | 4 | "sanctuary" | | 5 | "eyebrow" | | 6 | "trembled" | | 7 | "unspoken" | | 8 | "silence" | | 9 | "comfortable" | | 10 | "perfect" | | 11 | "methodical" | | 12 | "pulse" | | 13 | "reminder" |
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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 | 79 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 79 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 121 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1229 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 1 | | matches | | 0 | "Outside, London continued its relentless pulse—strangers becoming friends, friends becoming strangers, the endless shuff…" |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 795 | | uniqueNames | 14 | | maxNameDensity | 0.63 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | October | 1 | | Rory | 3 | | Tuesday | 1 | | Silas | 5 | | Eastern | 1 | | Europe | 1 | | Cardiff | 1 | | Eva | 1 | | London | 2 | | Evan | 4 | | Heat | 1 | | Despite | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Silas" | | 4 | "Eva" | | 5 | "Evan" | | 6 | "Heat" |
| | places | | 0 | "Eastern" | | 1 | "Europe" | | 2 | "Cardiff" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like setting down a weight she'd c" |
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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 | 1229 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 121 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 68 | | mean | 18.07 | | std | 15.04 | | cv | 0.832 | | sampleLengths | | 0 | 64 | | 1 | 43 | | 2 | 6 | | 3 | 1 | | 4 | 58 | | 5 | 20 | | 6 | 30 | | 7 | 5 | | 8 | 16 | | 9 | 39 | | 10 | 5 | | 11 | 4 | | 12 | 16 | | 13 | 13 | | 14 | 8 | | 15 | 2 | | 16 | 35 | | 17 | 14 | | 18 | 49 | | 19 | 4 | | 20 | 23 | | 21 | 32 | | 22 | 1 | | 23 | 11 | | 24 | 6 | | 25 | 16 | | 26 | 26 | | 27 | 5 | | 28 | 14 | | 29 | 13 | | 30 | 21 | | 31 | 6 | | 32 | 9 | | 33 | 12 | | 34 | 17 | | 35 | 20 | | 36 | 4 | | 37 | 24 | | 38 | 7 | | 39 | 4 | | 40 | 39 | | 41 | 22 | | 42 | 3 | | 43 | 15 | | 44 | 1 | | 45 | 40 | | 46 | 15 | | 47 | 28 | | 48 | 4 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 79 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 142 | | matches | (empty) | |
| 72.02% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 121 | | ratio | 0.025 | | matches | | 0 | "The bar hummed with its usual Tuesday evening crowd—city workers nursing pints, tourists studying maps over fish and chips, regulars who treated Silas like a confessor." | | 1 | "Something flickered across his face—surprise, perhaps disappointment." | | 2 | "Outside, London continued its relentless pulse—strangers becoming friends, friends becoming strangers, the endless shuffle of lives intersecting and diverging." |
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| 91.11% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 805 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 34 | | adverbRatio | 0.0422360248447205 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.02111801242236025 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 121 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 121 | | mean | 10.16 | | std | 7.02 | | cv | 0.691 | | sampleLengths | | 0 | 21 | | 1 | 17 | | 2 | 26 | | 3 | 26 | | 4 | 17 | | 5 | 6 | | 6 | 1 | | 7 | 13 | | 8 | 16 | | 9 | 15 | | 10 | 14 | | 11 | 15 | | 12 | 5 | | 13 | 10 | | 14 | 2 | | 15 | 18 | | 16 | 5 | | 17 | 15 | | 18 | 1 | | 19 | 12 | | 20 | 10 | | 21 | 11 | | 22 | 6 | | 23 | 5 | | 24 | 4 | | 25 | 7 | | 26 | 9 | | 27 | 6 | | 28 | 7 | | 29 | 6 | | 30 | 2 | | 31 | 2 | | 32 | 7 | | 33 | 18 | | 34 | 10 | | 35 | 6 | | 36 | 8 | | 37 | 4 | | 38 | 13 | | 39 | 9 | | 40 | 23 | | 41 | 4 | | 42 | 12 | | 43 | 11 | | 44 | 4 | | 45 | 18 | | 46 | 10 | | 47 | 1 | | 48 | 11 | | 49 | 6 |
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| 85.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5289256198347108 | | totalSentences | 121 | | uniqueOpeners | 64 | |
| 88.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 75 | | matches | | 0 | "Instead, she found herself sliding" | | 1 | "Instead, she studied the man" |
| | ratio | 0.027 | |
| 65.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 75 | | matches | | 0 | "She shook droplets from her" | | 1 | "She'd planned to grab her" | | 2 | "His designer shirt hung loose" | | 3 | "He half-stood, then seemed to" | | 4 | "She approached slowly, every instinct" | | 5 | "He gestured to the empty" | | 6 | "She shook her head almost" | | 7 | "He signalled to Silas" | | 8 | "She touched her shoulder-length bob" | | 9 | "His hazel eyes held a" | | 10 | "He straightened slightly, muscle memory" | | 11 | "She remembered the office." | | 12 | "He repeated it like she'd" | | 13 | "His jaw tightened." | | 14 | "He spat the word" | | 15 | "He was right, technically." | | 16 | "he said quietly" | | 17 | "She looked up, startled." | | 18 | "He rotated the glass between" | | 19 | "He laughed bitterly" |
| | ratio | 0.387 | |
| 53.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 75 | | matches | | 0 | "The green neon sign of" | | 1 | "She shook droplets from her" | | 2 | "The bar hummed with its" | | 3 | "She'd planned to grab her" | | 4 | "A figure sat hunched over" | | 5 | "Recognition hit her like cold" | | 6 | "The man looked up, and" | | 7 | "His designer shirt hung loose" | | 8 | "He half-stood, then seemed to" | | 9 | "She approached slowly, every instinct" | | 10 | "He gestured to the empty" | | 11 | "The smart move was to" | | 12 | "Silas caught her eye from" | | 13 | "She shook her head almost" | | 14 | "Something flickered across his face—surprise," | | 15 | "He signalled to Silas" | | 16 | "She touched her shoulder-length bob" | | 17 | "The question hung between them" | | 18 | "Silas appeared with her gin" | | 19 | "His hazel eyes held a" |
| | ratio | 0.813 | |
| 66.67% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 75 | | matches | | 0 | "As if her drink preference" |
| | ratio | 0.013 | |
| 75.89% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 3 | | matches | | 0 | "The bar hummed with its usual Tuesday evening crowd—city workers nursing pints, tourists studying maps over fish and chips, regulars who treated Silas like a co…" | | 1 | "His designer shirt hung loose on a frame that had shed more than weight." | | 2 | "This wasn't the Evan who'd once convinced her that her opinions were naive, that her dreams of helping people were childish fantasies." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 82.20% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 4 | | fancyTags | | 0 | "Evan's father outlined (outline)" | | 1 | "He repeated (repeat)" | | 2 | "He spat (spit)" | | 3 | "He laughed bitterly (laugh)" |
| | dialogueSentences | 59 | | tagDensity | 0.136 | | leniency | 0.271 | | rawRatio | 0.5 | | effectiveRatio | 0.136 | |