| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 66 | | tagDensity | 0.258 | | leniency | 0.515 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1227 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 95.93% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1227 | | totalAiIsms | 1 | | found | | | highlights | | |
| 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 | 56 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 56 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 105 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1228 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 94.88% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 635 | | uniqueNames | 11 | | maxNameDensity | 1.1 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Silas | 7 | | Golden | 1 | | Empress | 1 | | Cardiff | 2 | | Penderyn | 1 | | Law | 1 | | Cases | 1 | | Materials | 1 | | Soho | 1 |
| | persons | | | places | | 0 | "Raven" | | 1 | "Cardiff" | | 2 | "Soho" |
| | globalScore | 0.949 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | 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 | 1228 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 105 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 67 | | mean | 18.33 | | std | 19.57 | | cv | 1.068 | | sampleLengths | | 0 | 64 | | 1 | 6 | | 2 | 27 | | 3 | 4 | | 4 | 12 | | 5 | 44 | | 6 | 4 | | 7 | 53 | | 8 | 2 | | 9 | 10 | | 10 | 56 | | 11 | 19 | | 12 | 12 | | 13 | 41 | | 14 | 4 | | 15 | 4 | | 16 | 4 | | 17 | 27 | | 18 | 8 | | 19 | 3 | | 20 | 32 | | 21 | 1 | | 22 | 1 | | 23 | 24 | | 24 | 9 | | 25 | 3 | | 26 | 34 | | 27 | 3 | | 28 | 22 | | 29 | 3 | | 30 | 41 | | 31 | 1 | | 32 | 62 | | 33 | 13 | | 34 | 2 | | 35 | 18 | | 36 | 18 | | 37 | 1 | | 38 | 26 | | 39 | 37 | | 40 | 3 | | 41 | 2 | | 42 | 76 | | 43 | 6 | | 44 | 38 | | 45 | 15 | | 46 | 8 | | 47 | 11 | | 48 | 47 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 56 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 99 | | matches | | |
| 61.22% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 2 | | flaggedSentences | 3 | | totalSentences | 105 | | ratio | 0.029 | | matches | | 0 | "Silas could handle the drunks; he'd had fifty years of practice and one good knee." | | 1 | "\"And you?\" His eyes went over her — the black hair, the apron, the bag by the sink." | | 2 | "He stood and counted notes onto the wood; she pushed them back with two fingers." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 637 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.02197802197802198 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 105 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 105 | | mean | 11.7 | | std | 9.82 | | cv | 0.839 | | sampleLengths | | 0 | 14 | | 1 | 22 | | 2 | 28 | | 3 | 6 | | 4 | 12 | | 5 | 15 | | 6 | 4 | | 7 | 12 | | 8 | 9 | | 9 | 22 | | 10 | 5 | | 11 | 8 | | 12 | 4 | | 13 | 29 | | 14 | 24 | | 15 | 2 | | 16 | 10 | | 17 | 3 | | 18 | 23 | | 19 | 17 | | 20 | 7 | | 21 | 6 | | 22 | 19 | | 23 | 12 | | 24 | 22 | | 25 | 19 | | 26 | 4 | | 27 | 4 | | 28 | 4 | | 29 | 24 | | 30 | 3 | | 31 | 8 | | 32 | 3 | | 33 | 18 | | 34 | 14 | | 35 | 1 | | 36 | 1 | | 37 | 22 | | 38 | 2 | | 39 | 9 | | 40 | 3 | | 41 | 25 | | 42 | 9 | | 43 | 3 | | 44 | 3 | | 45 | 7 | | 46 | 2 | | 47 | 10 | | 48 | 3 | | 49 | 41 |
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| 77.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.49523809523809526 | | totalSentences | 105 | | uniqueOpeners | 52 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 54 | | matches | | 0 | "Then it wasn't." | | 1 | "Then, quieter: He unclipped the" |
| | ratio | 0.037 | |
| 34.81% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 54 | | matches | | 0 | "She kept her back to" | | 1 | "She turned with the cloth" | | 2 | "He hung his coat over" | | 3 | "He pressed somewhere along the" | | 4 | "She'd learned that the hard" | | 5 | "He turned his glass once" | | 6 | "He laughed, and the crooked" | | 7 | "His eyes went over her" | | 8 | "She wiped a glass that" | | 9 | "He leaned in over the" | | 10 | "He pulled the words out" | | 11 | "She let it go." | | 12 | "She took the bottle and" | | 13 | "He smiled at the wood" | | 14 | "His thumb moved along the" | | 15 | "She turned a page." | | 16 | "Her younger self argued in" | | 17 | "He looked at the bottle" | | 18 | "She made herself look at" | | 19 | "He stood and counted notes" |
| | ratio | 0.463 | |
| 43.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 54 | | matches | | 0 | "Rory stacked the last chairs" | | 1 | "The bell over the door" | | 2 | "She kept her back to" | | 3 | "Silas could handle the drunks;" | | 4 | "The voice landed in the" | | 5 | "She turned with the cloth" | | 6 | "A man stood dripping on" | | 7 | "The same crooked front tooth" | | 8 | "He hung his coat over" | | 9 | "Silas didn't ask." | | 10 | "He pressed somewhere along the" | | 11 | "Rhys studied the maps on" | | 12 | "Some doors you weren't meant" | | 13 | "She'd learned that the hard" | | 14 | "Silas set down two glasses" | | 15 | "He turned his glass once" | | 16 | "He laughed, and the crooked" | | 17 | "His eyes went over her" | | 18 | "She wiped a glass that" | | 19 | "He leaned in over the" |
| | ratio | 0.833 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 1 | | matches | | 0 | "The pinstripes, the wedding ring, the careful man built over the boy with the guitar who'd once failed a contracts test on purpose so she wouldn't sit at the bo…" |
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| 95.59% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 1 | | matches | | 0 | "His eyes went over, the apron, the bag by the sink" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |