| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 2 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" | | 1 | "she said softly [softly]" |
| | dialogueSentences | 42 | | tagDensity | 0.381 | | leniency | 0.762 | | rawRatio | 0.125 | | effectiveRatio | 0.095 | |
| 92.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1304 | | 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) | |
| 57.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1304 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "chilling" | | 2 | "warmth" | | 3 | "scanned" | | 4 | "familiar" | | 5 | "facade" | | 6 | "constructed" | | 7 | "electric" | | 8 | "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 | 1 | | narrationSentences | 66 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 66 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1304 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 840 | | uniqueNames | 13 | | maxNameDensity | 1.07 | | worstName | "Evan" | | maxWindowNameDensity | 3 | | worstWindowName | "Evan" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 2 | | Silas | 4 | | Blackwood | 1 | | Carter | 1 | | Guinness | 1 | | Cardiff | 2 | | London | 1 | | Evan | 9 | | Rory | 6 | | Welsh | 1 | | Mayfair | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Blackwood" | | 4 | "Carter" | | 5 | "Guinness" | | 6 | "Evan" | | 7 | "Rory" |
| | places | | 0 | "Soho" | | 1 | "Cardiff" | | 2 | "London" |
| | globalScore | 0.964 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a waxwork, constructed to sur" |
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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 | 1304 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 27.74 | | std | 18.97 | | cv | 0.684 | | sampleLengths | | 0 | 79 | | 1 | 46 | | 2 | 9 | | 3 | 48 | | 4 | 15 | | 5 | 3 | | 6 | 60 | | 7 | 22 | | 8 | 30 | | 9 | 25 | | 10 | 42 | | 11 | 7 | | 12 | 27 | | 13 | 45 | | 14 | 4 | | 15 | 27 | | 16 | 25 | | 17 | 12 | | 18 | 4 | | 19 | 31 | | 20 | 13 | | 21 | 44 | | 22 | 19 | | 23 | 49 | | 24 | 48 | | 25 | 20 | | 26 | 54 | | 27 | 9 | | 28 | 3 | | 29 | 30 | | 30 | 52 | | 31 | 41 | | 32 | 23 | | 33 | 19 | | 34 | 11 | | 35 | 2 | | 36 | 68 | | 37 | 26 | | 38 | 32 | | 39 | 3 | | 40 | 19 | | 41 | 27 | | 42 | 46 | | 43 | 10 | | 44 | 51 | | 45 | 7 | | 46 | 17 |
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| 89.31% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 66 | | matches | | 0 | "been disassembled" | | 1 | "were manicured" | | 2 | "was vaulted" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 138 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 92 | | ratio | 0.011 | | matches | | 0 | "The anger didn't explode anymore; it was vaulted, locked away behind a facade of liquid assets and tailored suits." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 705 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.02553191489361702 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005673758865248227 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 14.17 | | std | 8.51 | | cv | 0.6 | | sampleLengths | | 0 | 20 | | 1 | 17 | | 2 | 27 | | 3 | 15 | | 4 | 12 | | 5 | 19 | | 6 | 15 | | 7 | 9 | | 8 | 16 | | 9 | 22 | | 10 | 10 | | 11 | 2 | | 12 | 13 | | 13 | 3 | | 14 | 11 | | 15 | 12 | | 16 | 23 | | 17 | 14 | | 18 | 17 | | 19 | 5 | | 20 | 17 | | 21 | 13 | | 22 | 20 | | 23 | 5 | | 24 | 10 | | 25 | 12 | | 26 | 20 | | 27 | 7 | | 28 | 24 | | 29 | 3 | | 30 | 21 | | 31 | 24 | | 32 | 4 | | 33 | 11 | | 34 | 16 | | 35 | 19 | | 36 | 6 | | 37 | 12 | | 38 | 4 | | 39 | 16 | | 40 | 15 | | 41 | 5 | | 42 | 8 | | 43 | 13 | | 44 | 31 | | 45 | 19 | | 46 | 7 | | 47 | 23 | | 48 | 19 | | 49 | 16 |
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| 50.72% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.33695652173913043 | | totalSentences | 92 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 69.18% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 61 | | matches | | 0 | "His left leg propped against" | | 1 | "She turned her pint glass" | | 2 | "He wore his hair long" | | 3 | "He scanned the half-empty tavern" | | 4 | "He took two steps forward," | | 5 | "He looked as if he" | | 6 | "He used the middle name" | | 7 | "He glided to the booth," | | 8 | "she corrected, her voice flat," | | 9 | "He laid his hands flat" | | 10 | "His nails were manicured, clean," | | 11 | "She tucked her left hand" | | 12 | "He gestured vaguely to his" | | 13 | "He set a fresh coaster" | | 14 | "It tasted bitter, like copper." | | 15 | "He tapped his fingers on" | | 16 | "She leaned forward, the blue" | | 17 | "she said, her voice steady" | | 18 | "He pulled his hands back," | | 19 | "He had traded his demons" |
| | ratio | 0.377 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 61 | | matches | | 0 | "His left leg propped against" | | 1 | "Rory Carter sat in the" | | 2 | "She turned her pint glass" | | 3 | "A damp draft squeezed through" | | 4 | "The brass bell above the" | | 5 | "A man stepped into the" | | 6 | "He wore his hair long" | | 7 | "He scanned the half-empty tavern" | | 8 | "The glass slipped a millimetre" | | 9 | "The man turned his head" | | 10 | "The sharp, aristocratic lines of" | | 11 | "He took two steps forward," | | 12 | "He looked as if he" | | 13 | "He used the middle name" | | 14 | "He glided to the booth," | | 15 | "The scent of sandalwood and" | | 16 | "she corrected, her voice flat," | | 17 | "Evan let out a soft," | | 18 | "He laid his hands flat" | | 19 | "His nails were manicured, clean," |
| | ratio | 0.934 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 2 | | matches | | 0 | "He looked as if he had been disassembled and rebuilt by a high-end surgeon." | | 1 | "Evan sighed, a heavy, patronising sound that made her skin itch." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 4 | | matches | | 0 | "Silas asked, his voice a low, gravelly rumble" | | 1 | "Evan pressed, though his smirk remained intact" | | 2 | "Evan said, his tone dripping with a rehearsed, therapeutic gentleness" | | 3 | "she said, her voice steady" |
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| 54.76% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 4 | | fancyTags | | 0 | "she breathed (breathe)" | | 1 | "she corrected (correct)" | | 2 | "Evan pressed (press)" | | 3 | "he snapped (snap)" |
| | dialogueSentences | 42 | | tagDensity | 0.238 | | leniency | 0.476 | | rawRatio | 0.4 | | effectiveRatio | 0.19 | |