| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1127 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 86.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1127 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "weight" | | 1 | "echo" | | 2 | "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 | 0 | | narrationSentences | 294 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 294 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 294 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 13 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 76 | | markdownWords | 223 | | totalWords | 1127 | | ratio | 0.198 | | matches | | 0 | "You shouldn’t be here." | | 1 | "Where you been." | | 2 | "Silas needed me." | | 3 | "He didn’t know you were here." | | 4 | "He does not know that." | | 5 | "I am not here to help." | | 6 | "You are here to look me in the eye." | | 7 | "Take it." | | 8 | "It opens the thing in the basement." | | 9 | "The basement." | | 10 | "I need to go back." | | 11 | "Don’t." | | 12 | "You told me you weren’t part of this." | | 13 | "Part of what." | | 14 | "The city burned loud." | | 15 | "It was a dream." | | 16 | "It was not." | | 17 | "Everything is connected." | | 18 | "We are broken." | | 19 | "If you help me, I am yours." | | 20 | "If you help you, you are mine." | | 21 | "You are not a monster." | | 22 | "I am not a saint." | | 23 | "It is not fair." | | 24 | "Fair does not exist." | | 25 | "Watch it." | | 26 | "He is coming." | | 27 | "Who." | | 28 | "The man." | | 29 | "Forget him." | | 30 | "He paid." | | 31 | "Leave." | | 32 | "Wait." | | 33 | "Why did you wait." | | 34 | "For the money." | | 35 | "For the name." | | 36 | "Buy time." | | 37 | "Buy peace." | | 38 | "Do not speak ill." | | 39 | "Do not speak truth." | | 40 | "Rory." | | 41 | "Lucien." | | 42 | "We need a plan." | | 43 | "We need a place." | | 44 | "Here." | | 45 | "What does it mean." | | 46 | "It means you are alive." | | 47 | "Where is it." | | 48 | "London." | | 49 | "We are safe." | | 50 | "No." | | 51 | "He is here." | | 52 | "Who." | | 53 | "Silas." | | 54 | "Go." | | 55 | "No." | | 56 | "Leave." | | 57 | "Stay." | | 58 | "For tonight." | | 59 | "For as long as it takes." | | 60 | "What does it do." | | 61 | "It calls." | | 62 | "What calls." | | 63 | "It knows you are here." | | 64 | "She knows." | | 65 | "Turn it." | | 66 | "Go." | | 67 | "How." | | 68 | "Down." | | 69 | "Go." | | 70 | "Rory." | | 71 | "Go." | | 72 | "Why." | | 73 | "Because I said." | | 74 | "Stay." | | 75 | "Go." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 92.32% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 1127 | | uniqueNames | 3 | | maxNameDensity | 1.15 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.923 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | 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 | 1127 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 294 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 117 | | mean | 9.63 | | std | 10.87 | | cv | 1.129 | | sampleLengths | | 0 | 47 | | 1 | 37 | | 2 | 4 | | 3 | 35 | | 4 | 24 | | 5 | 3 | | 6 | 3 | | 7 | 41 | | 8 | 6 | | 9 | 5 | | 10 | 34 | | 11 | 6 | | 12 | 9 | | 13 | 36 | | 14 | 14 | | 15 | 2 | | 16 | 16 | | 17 | 7 | | 18 | 2 | | 19 | 28 | | 20 | 5 | | 21 | 1 | | 22 | 8 | | 23 | 3 | | 24 | 29 | | 25 | 4 | | 26 | 4 | | 27 | 3 | | 28 | 40 | | 29 | 3 | | 30 | 3 | | 31 | 22 | | 32 | 7 | | 33 | 7 | | 34 | 25 | | 35 | 5 | | 36 | 5 | | 37 | 37 | | 38 | 4 | | 39 | 4 | | 40 | 28 | | 41 | 2 | | 42 | 15 | | 43 | 3 | | 44 | 1 | | 45 | 2 | | 46 | 27 | | 47 | 2 | | 48 | 2 | | 49 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 294 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 260 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 294 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1127 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 10 | | adverbRatio | 0.008873114463176575 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.001774622892635315 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 294 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 294 | | mean | 3.83 | | std | 1.97 | | cv | 0.513 | | sampleLengths | | 0 | 6 | | 1 | 4 | | 2 | 3 | | 3 | 3 | | 4 | 5 | | 5 | 4 | | 6 | 9 | | 7 | 7 | | 8 | 6 | | 9 | 3 | | 10 | 3 | | 11 | 6 | | 12 | 2 | | 13 | 1 | | 14 | 2 | | 15 | 4 | | 16 | 4 | | 17 | 4 | | 18 | 8 | | 19 | 4 | | 20 | 6 | | 21 | 7 | | 22 | 8 | | 23 | 3 | | 24 | 7 | | 25 | 4 | | 26 | 7 | | 27 | 5 | | 28 | 5 | | 29 | 7 | | 30 | 3 | | 31 | 3 | | 32 | 1 | | 33 | 8 | | 34 | 4 | | 35 | 13 | | 36 | 2 | | 37 | 6 | | 38 | 4 | | 39 | 3 | | 40 | 6 | | 41 | 5 | | 42 | 3 | | 43 | 2 | | 44 | 10 | | 45 | 2 | | 46 | 7 | | 47 | 1 | | 48 | 1 | | 49 | 8 |
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| 26.53% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 69 | | diversityRatio | 0.17006802721088435 | | totalSentences | 294 | | uniqueOpeners | 50 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 214 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 121 | | totalSentences | 214 | | matches | | 0 | "He takes up the space." | | 1 | "Her nails dig into the" | | 2 | "He steps inside." | | 3 | "It arches its back." | | 4 | "She looks at Lucien." | | 5 | "He smells like rain and" | | 6 | "*You shouldn’t be here.*" | | 7 | "She touches the back of" | | 8 | "He did not know the" | | 9 | "He found it." | | 10 | "He did not know the" | | 11 | "He pushed it open." | | 12 | "He puts it down on" | | 13 | "Her heel scrapes the door" | | 14 | "She wants to leave." | | 15 | "She does not." | | 16 | "*He didn’t know you were" | | 17 | "*He does not know that.*" | | 18 | "He does not breach the" | | 19 | "He looks at the stacks" |
| | ratio | 0.565 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 198 | | totalSentences | 214 | | matches | | 0 | "The lock clicks back into" | | 1 | "The bolt slides away." | | 2 | "The door opens." | | 3 | "Lucien stands there." | | 4 | "He takes up the space." | | 5 | "A frame of shadow." | | 6 | "The air smells of wet" | | 7 | "Rory keeps her hand on" | | 8 | "Her nails dig into the" | | 9 | "He steps inside." | | 10 | "The floorboards creak." | | 11 | "A cat jumps from the" | | 12 | "It arches its back." | | 13 | "Rory ignores the cat." | | 14 | "She looks at Lucien." | | 15 | "He smells like rain and" | | 16 | "*You shouldn’t be here.*" | | 17 | "The words leave her throat" | | 18 | "She touches the back of" | | 19 | "He did not know the" |
| | ratio | 0.925 | |
| 70.09% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 214 | | matches | | 0 | "*If you help me, I" | | 1 | "*If you help you, you" | | 2 | "*Because I said.*" |
| | ratio | 0.014 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 3 | | technicalSentenceCount | 1 | | matches | | 0 | "The place that connects her to him in the bone of her shoulder." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |