| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 40 | | tagDensity | 0.05 | | leniency | 0.1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 83.02% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1767 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "perfectly" | | 1 | "suddenly" | | 2 | "sharply" | | 3 | "very" |
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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) | |
| 77.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1767 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "traced" | | 1 | "lilt" | | 2 | "unreadable" | | 3 | "silence" | | 4 | "weight" | | 5 | "perfect" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 78 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 78 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 116 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 59 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 2 | | totalWords | 1767 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 63.38% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 54 | | wordCount | 1039 | | uniqueNames | 13 | | maxNameDensity | 1.73 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Soho | 2 | | Raven | 2 | | Nest | 2 | | Highland | 1 | | Rory | 18 | | Silas | 9 | | Welsh | 1 | | Cardiff | 2 | | Golden | 1 | | Empress | 1 | | Prague | 1 | | Leo | 13 | | London | 1 |
| | persons | | | places | | 0 | "Soho" | | 1 | "Raven" | | 2 | "Highland" | | 3 | "Cardiff" | | 4 | "Prague" | | 5 | "London" |
| | globalScore | 0.634 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | 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 | 1767 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 116 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 72 | | mean | 24.54 | | std | 17.9 | | cv | 0.729 | | sampleLengths | | 0 | 87 | | 1 | 79 | | 2 | 9 | | 3 | 59 | | 4 | 10 | | 5 | 36 | | 6 | 9 | | 7 | 30 | | 8 | 12 | | 9 | 13 | | 10 | 18 | | 11 | 60 | | 12 | 1 | | 13 | 26 | | 14 | 11 | | 15 | 21 | | 16 | 26 | | 17 | 17 | | 18 | 66 | | 19 | 20 | | 20 | 17 | | 21 | 20 | | 22 | 4 | | 23 | 17 | | 24 | 12 | | 25 | 31 | | 26 | 19 | | 27 | 26 | | 28 | 45 | | 29 | 16 | | 30 | 17 | | 31 | 13 | | 32 | 41 | | 33 | 24 | | 34 | 24 | | 35 | 16 | | 36 | 36 | | 37 | 19 | | 38 | 18 | | 39 | 7 | | 40 | 14 | | 41 | 29 | | 42 | 20 | | 43 | 46 | | 44 | 59 | | 45 | 1 | | 46 | 27 | | 47 | 14 | | 48 | 26 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 78 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 158 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 116 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1049 | | adjectiveStacks | 1 | | stackExamples | | 0 | "outside washed over him" |
| | adverbCount | 28 | | adverbRatio | 0.02669208770257388 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.010486177311725452 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 116 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 116 | | mean | 15.23 | | std | 9.48 | | cv | 0.623 | | sampleLengths | | 0 | 17 | | 1 | 22 | | 2 | 25 | | 3 | 23 | | 4 | 10 | | 5 | 18 | | 6 | 28 | | 7 | 23 | | 8 | 9 | | 9 | 19 | | 10 | 18 | | 11 | 22 | | 12 | 2 | | 13 | 8 | | 14 | 13 | | 15 | 6 | | 16 | 17 | | 17 | 9 | | 18 | 17 | | 19 | 13 | | 20 | 12 | | 21 | 13 | | 22 | 18 | | 23 | 3 | | 24 | 17 | | 25 | 23 | | 26 | 17 | | 27 | 1 | | 28 | 26 | | 29 | 11 | | 30 | 21 | | 31 | 11 | | 32 | 15 | | 33 | 17 | | 34 | 7 | | 35 | 23 | | 36 | 7 | | 37 | 8 | | 38 | 21 | | 39 | 20 | | 40 | 17 | | 41 | 9 | | 42 | 11 | | 43 | 4 | | 44 | 10 | | 45 | 7 | | 46 | 12 | | 47 | 31 | | 48 | 19 | | 49 | 14 |
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| 37.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.22413793103448276 | | totalSentences | 116 | | uniqueOpeners | 26 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 41.05% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 76 | | matches | | 0 | "She traced the crescent scar" | | 1 | "He reached for a bottle" | | 2 | "He slid the drink toward" | | 3 | "He wore a charcoal wool" | | 4 | "He paused, blinking against the" | | 5 | "He didn't see her at" | | 6 | "He looked at Silas, then" | | 7 | "It was the voice of" | | 8 | "His face, once soft and" | | 9 | "He stared at her for" | | 10 | "He hovered, an intruder from" | | 11 | "He lingered for a second," | | 12 | "He gave Rory a sharp," | | 13 | "She gave a microscopic shake" | | 14 | "He looked at her hand," | | 15 | "He gazed at a map" | | 16 | "He moved to the sink," | | 17 | "He didn't push it back." | | 18 | "He slid it across the" | | 19 | "It looked strikingly white against" |
| | ratio | 0.447 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 76 | | matches | | 0 | "Rory sat at the far" | | 1 | "She traced the crescent scar" | | 2 | "Silas moved behind the bar" | | 3 | "The slight drag of his" | | 4 | "He reached for a bottle" | | 5 | "He slid the drink toward" | | 6 | "The bell above the door" | | 7 | "A man stepped in, shaking" | | 8 | "He wore a charcoal wool" | | 9 | "He paused, blinking against the" | | 10 | "The glass in her hand" | | 11 | "The man approached the bar," | | 12 | "He didn't see her at" | | 13 | "He looked at Silas, then" | | 14 | "The voice was deeper, stripped" | | 15 | "It was the voice of" | | 16 | "Silas glanced at Rory, his" | | 17 | "Rory cleared her throat, the" | | 18 | "The man turned." | | 19 | "His face, once soft and" |
| | ratio | 0.947 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 60.44% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 6 | | matches | | 0 | "A man stepped in, shaking a black umbrella that looked expensive enough to cover Rory’s rent for a month." | | 1 | "He wore a charcoal wool overcoat, perfectly tailored to shoulders that had broadened since Rory last saw them." | | 2 | "It was the voice of a man who gave presentations in glass-walled boardrooms." | | 3 | "He lingered for a second, his hand resting on the bar top, the auburn hair on his knuckles turning grey in the light." | | 4 | "Leo looked around the bar again, his eyes lingering on Silas, who was now intently cleaning the espresso machine." | | 5 | "Leo let out a breath that was half-laugh, half-sigh." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 40 | | tagDensity | 0.025 | | leniency | 0.05 | | rawRatio | 0 | | effectiveRatio | 0 | |