| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "the friendly reunion stripped away [away]" |
| | dialogueSentences | 31 | | tagDensity | 0.355 | | leniency | 0.71 | | rawRatio | 0.091 | | effectiveRatio | 0.065 | |
| 91.30% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1150 | | 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) | |
| 17.39% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1150 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "silence" | | 1 | "methodical" | | 2 | "echo" | | 3 | "unspoken" | | 4 | "could feel" | | 5 | "weight" | | 6 | "efficient" | | 7 | "tension" | | 8 | "flicker" | | 9 | "unreadable" | | 10 | "familiar" | | 11 | "implication" | | 12 | "stomach" | | 13 | "calculating" | | 14 | "whisper" | | 15 | "flickered" | | 16 | "chilling" |
| |
| 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 | 0 | | narrationSentences | 69 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 69 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 89 | | 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 | 1143 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 880 | | uniqueNames | 13 | | maxNameDensity | 0.8 | | worstName | "Leo" | | maxWindowNameDensity | 2 | | worstWindowName | "Leo" | | discoveredNames | | Carter | 1 | | Golden | 1 | | Empress | 1 | | London | 1 | | Cardiff | 1 | | Raven | 2 | | Nest | 2 | | Stevens | 1 | | Silas | 4 | | Aurora | 4 | | Rory | 1 | | Soho | 1 | | Leo | 7 |
| | persons | | 0 | "Carter" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Stevens" | | 4 | "Silas" | | 5 | "Aurora" | | 6 | "Rory" | | 7 | "Leo" |
| | places | | 0 | "Golden" | | 1 | "London" | | 2 | "Soho" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1143 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 89 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 30.89 | | std | 24.91 | | cv | 0.806 | | sampleLengths | | 0 | 109 | | 1 | 11 | | 2 | 6 | | 3 | 62 | | 4 | 79 | | 5 | 8 | | 6 | 35 | | 7 | 44 | | 8 | 12 | | 9 | 25 | | 10 | 4 | | 11 | 27 | | 12 | 17 | | 13 | 44 | | 14 | 20 | | 15 | 35 | | 16 | 6 | | 17 | 25 | | 18 | 50 | | 19 | 13 | | 20 | 4 | | 21 | 70 | | 22 | 48 | | 23 | 22 | | 24 | 3 | | 25 | 33 | | 26 | 45 | | 27 | 6 | | 28 | 54 | | 29 | 49 | | 30 | 2 | | 31 | 65 | | 32 | 18 | | 33 | 5 | | 34 | 26 | | 35 | 52 | | 36 | 9 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 69 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 128 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 89 | | ratio | 0 | | matches | (empty) | |
| 76.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 886 | | adjectiveStacks | 4 | | stackExamples | | 0 | "dim, map-lined confines" | | 1 | "sharp, expensive grey, his" | | 2 | "small, crescent-shaped scar" | | 3 | "wet, neon-slicked Soho" |
| | adverbCount | 34 | | adverbRatio | 0.03837471783295711 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.010158013544018058 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 89 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 89 | | mean | 12.84 | | std | 7.35 | | cv | 0.573 | | sampleLengths | | 0 | 17 | | 1 | 18 | | 2 | 37 | | 3 | 22 | | 4 | 15 | | 5 | 11 | | 6 | 6 | | 7 | 25 | | 8 | 8 | | 9 | 26 | | 10 | 3 | | 11 | 18 | | 12 | 15 | | 13 | 26 | | 14 | 2 | | 15 | 18 | | 16 | 8 | | 17 | 12 | | 18 | 23 | | 19 | 13 | | 20 | 10 | | 21 | 16 | | 22 | 5 | | 23 | 12 | | 24 | 14 | | 25 | 11 | | 26 | 4 | | 27 | 19 | | 28 | 8 | | 29 | 17 | | 30 | 10 | | 31 | 24 | | 32 | 10 | | 33 | 9 | | 34 | 11 | | 35 | 3 | | 36 | 2 | | 37 | 12 | | 38 | 18 | | 39 | 6 | | 40 | 13 | | 41 | 12 | | 42 | 20 | | 43 | 5 | | 44 | 7 | | 45 | 18 | | 46 | 13 | | 47 | 4 | | 48 | 14 | | 49 | 21 |
| |
| 58.80% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.39325842696629215 | | totalSentences | 89 | | uniqueOpeners | 35 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 67 | | matches | | 0 | "Just one more trip back" | | 1 | "Slowly, she pivoted." | | 2 | "Only her friends here called" |
| | ratio | 0.045 | |
| 11.04% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 67 | | matches | | 0 | "He caught her eye and" | | 1 | "She turned, her hand already" | | 2 | "She froze, her back still" | | 3 | "It was a voice that" | | 4 | "He sat in one of" | | 5 | "His suit was a sharp," | | 6 | "He looked as though he" | | 7 | "He smiled, a wide, brilliant" | | 8 | "He gestured to her uniform," | | 9 | "It felt like a shield." | | 10 | "He took a slow sip" | | 11 | "She kept her voice flat," | | 12 | "She could feel the past" | | 13 | "he said, his voice dropping" | | 14 | "She pictured the whispers filtering" | | 15 | "He leaned forward, elbows on" | | 16 | "It felt like a violation." | | 17 | "He was a relic, and" | | 18 | "He placed it on the" | | 19 | "It was an offer, an" |
| | ratio | 0.522 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 67 | | matches | | 0 | "The last takeaway bag slid" | | 1 | "Aurora Carter tugged the thermal" | | 2 | "Silas was at the far" | | 3 | "He caught her eye and" | | 4 | "She turned, her hand already" | | 5 | "The voice was a ghost," | | 6 | "She froze, her back still" | | 7 | "It was a voice that" | | 8 | "He sat in one of" | | 9 | "The man he had become" | | 10 | "His suit was a sharp," | | 11 | "He looked as though he" | | 12 | "The name felt foreign on" | | 13 | "He smiled, a wide, brilliant" | | 14 | "He gestured to her uniform," | | 15 | "The question hung in the" | | 16 | "Aurora forced a thin smile," | | 17 | "It felt like a shield." | | 18 | "He took a slow sip" | | 19 | "An awkward silence settled between" |
| | ratio | 0.925 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 2 | | matches | | 0 | "It was a voice that belonged in a wood-panelled courtroom or a Cardiff rugby club, not here, in the dim, map-lined confines of The Raven’s Nest." | | 1 | "She pictured the whispers filtering through their hometown, painting her as the unstable one, the one who ran." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 6 | | matches | | 0 | "He took, his gaze roaming over her" | | 1 | "he said, his voice dropping an octave" | | 2 | "he said, his tone softer now" | | 3 | "He leaned, his proximity making her want to shrink away" | | 4 | "Leo’s voice, urgent" | | 5 | "Leo leaned, his voice dropping to a near whisper" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "Leo’s voice (leo voice)" |
| | dialogueSentences | 31 | | tagDensity | 0.097 | | leniency | 0.194 | | rawRatio | 0.333 | | effectiveRatio | 0.065 | |