| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said finally [finally]" | | 1 | "he said quietly [quietly]" |
| | dialogueSentences | 82 | | tagDensity | 0.195 | | leniency | 0.39 | | rawRatio | 0.125 | | effectiveRatio | 0.049 | |
| 91.16% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1131 | | totalAiIsmAdverbs | 2 | | 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) | |
| 42.53% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1131 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "chill" | | 1 | "flicked" | | 2 | "weight" | | 3 | "pulse" | | 4 | "flickered" | | 5 | "silence" | | 6 | "unspoken" | | 7 | "dance" | | 8 | "traced" | | 9 | "flicker" |
| |
| 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 | 102 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 102 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 167 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1123 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 621 | | uniqueNames | 10 | | maxNameDensity | 2.58 | | worstName | "Silas" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | London | 1 | | Thursday | 1 | | Golden | 1 | | Empress | 1 | | Silas | 16 | | Blackwood | 1 | | Eva | 1 | | Rory | 12 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Blackwood" | | 4 | "Eva" | | 5 | "Rory" |
| | places | | | globalScore | 0.212 | | windowScore | 0 | |
| 11.11% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 36 | | glossingSentenceCount | 2 | | matches | | 0 | "as if measuring the distance between then and now" | | 1 | "appeared in front of Rory—untouched, even unordered" |
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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 | 1123 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 167 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 95 | | mean | 11.82 | | std | 11.7 | | cv | 0.99 | | sampleLengths | | 0 | 51 | | 1 | 67 | | 2 | 26 | | 3 | 55 | | 4 | 12 | | 5 | 29 | | 6 | 10 | | 7 | 29 | | 8 | 14 | | 9 | 7 | | 10 | 8 | | 11 | 3 | | 12 | 6 | | 13 | 23 | | 14 | 26 | | 15 | 6 | | 16 | 6 | | 17 | 2 | | 18 | 22 | | 19 | 13 | | 20 | 2 | | 21 | 13 | | 22 | 6 | | 23 | 3 | | 24 | 4 | | 25 | 8 | | 26 | 12 | | 27 | 1 | | 28 | 1 | | 29 | 13 | | 30 | 4 | | 31 | 4 | | 32 | 10 | | 33 | 5 | | 34 | 29 | | 35 | 8 | | 36 | 36 | | 37 | 8 | | 38 | 2 | | 39 | 2 | | 40 | 14 | | 41 | 2 | | 42 | 11 | | 43 | 7 | | 44 | 9 | | 45 | 9 | | 46 | 1 | | 47 | 2 | | 48 | 20 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 102 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 124 | | matches | (empty) | |
| 23.10% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 167 | | ratio | 0.042 | | matches | | 0 | "The usual Thursday crowd hummed—low laughter, clinking glass, the lazy shuffle of feet against worn floorboards." | | 1 | "No limp in his stride, though—too fluid, too practised." | | 2 | "Just set the glass down, wiped his hands on a towel, and looked at her—as if measuring the distance between then and now." | | 3 | "The scar on her wrist—small crescent moon—itched under her sleeve." | | 4 | "A moment later, a pint appeared in front of Rory—untouched, even unordered." | | 5 | "He poured his own drink—a neat whiskey, no water, no ice." | | 6 | "A photo on the wall shifted slightly in the draft—a 1980s snapshot of a younger Silas with three others, all grinning, one holding a rifle." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 634 | | adjectiveStacks | 1 | | stackExamples | | 0 | "worn leather-bound book." |
| | adverbCount | 25 | | adverbRatio | 0.03943217665615142 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.00473186119873817 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 167 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 167 | | mean | 6.72 | | std | 5.77 | | cv | 0.858 | | sampleLengths | | 0 | 18 | | 1 | 16 | | 2 | 17 | | 3 | 5 | | 4 | 19 | | 5 | 27 | | 6 | 16 | | 7 | 10 | | 8 | 9 | | 9 | 7 | | 10 | 9 | | 11 | 7 | | 12 | 23 | | 13 | 16 | | 14 | 11 | | 15 | 1 | | 16 | 3 | | 17 | 3 | | 18 | 23 | | 19 | 4 | | 20 | 6 | | 21 | 7 | | 22 | 12 | | 23 | 10 | | 24 | 5 | | 25 | 9 | | 26 | 7 | | 27 | 6 | | 28 | 2 | | 29 | 3 | | 30 | 4 | | 31 | 1 | | 32 | 1 | | 33 | 9 | | 34 | 10 | | 35 | 1 | | 36 | 3 | | 37 | 11 | | 38 | 3 | | 39 | 12 | | 40 | 2 | | 41 | 4 | | 42 | 6 | | 43 | 2 | | 44 | 11 | | 45 | 5 | | 46 | 6 | | 47 | 13 | | 48 | 2 | | 49 | 13 |
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| 65.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.41916167664670656 | | totalSentences | 167 | | uniqueOpeners | 70 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 73 | | matches | | 0 | "Just needed a quick beer" | | 1 | "Then he turned, and she" | | 2 | "Just set the glass down," |
| | ratio | 0.041 | |
| 83.01% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 73 | | matches | | 0 | "She hadn’t planned on stopping." | | 1 | "Her eyes flicked to the" | | 2 | "His back was turned, pulling" | | 3 | "They had carved new shadows" | | 4 | "His hazel eyes, still sharp" | | 5 | "He didn’t speak." | | 6 | "he said finally" | | 7 | "She felt every year between" | | 8 | "She slipped onto a stool," | | 9 | "He poured his own drink—a" | | 10 | "He tapped the counter." | | 11 | "He shook his head" | | 12 | "She looked up." | | 13 | "He drummed fingers on the" | | 14 | "She laughed, sharp" | | 15 | "She gestured around." | | 16 | "he said quietly" | | 17 | "She traced the rim of" | | 18 | "Its cover cracked with use." | | 19 | "He slid it toward her" |
| | ratio | 0.342 | |
| 28.49% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 73 | | matches | | 0 | "The Raven's Nest's door swung" | | 1 | "The usual Thursday crowd hummed—low" | | 2 | "Rory adjusted the strap of" | | 3 | "She hadn’t planned on stopping." | | 4 | "Her eyes flicked to the" | | 5 | "His back was turned, pulling" | | 6 | "The years had not just" | | 7 | "They had carved new shadows" | | 8 | "The beard was greyer, streaked" | | 9 | "His hazel eyes, still sharp" | | 10 | "Rory’s pulse hammered in her" | | 11 | "He didn’t speak." | | 12 | "he said finally" | | 13 | "The bar’s green neon flickered" | | 14 | "She felt every year between" | | 15 | "Silas leaned against the counter." | | 16 | "A dry smile touched his" | | 17 | "The silence settled again." | | 18 | "She slipped onto a stool," | | 19 | "The scar on her wrist—small" |
| | ratio | 0.863 | |
| 68.49% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 73 | | matches | | 0 | "Before everything changed." |
| | ratio | 0.014 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 93.75% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 3 | | fancyTags | | 0 | "she admitted (admit)" | | 1 | "She laughed (laugh)" | | 2 | "Silas added (add)" |
| | dialogueSentences | 82 | | tagDensity | 0.134 | | leniency | 0.268 | | rawRatio | 0.273 | | effectiveRatio | 0.073 | |