| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said softly [softly]" |
| | dialogueSentences | 40 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.067 | | effectiveRatio | 0.05 | |
| 94.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 882 | | totalAiIsmAdverbs | 1 | | 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) | |
| 3.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 882 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "familiar" | | 1 | "comforting" | | 2 | "sanctuary" | | 3 | "eyebrow" | | 4 | "tracing" | | 5 | "echoed" | | 6 | "sense of" | | 7 | "stomach" | | 8 | "navigate" | | 9 | "tension" | | 10 | "warmth" | | 11 | "reminder" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "sense of foreboding" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 62 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 62 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 87 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 880 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 548 | | uniqueNames | 5 | | maxNameDensity | 2.55 | | worstName | "Silas" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Silas" | | discoveredNames | | Rory | 12 | | Raven | 1 | | Nest | 1 | | London | 1 | | Silas | 14 |
| | persons | | | places | | | globalScore | 0.223 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | 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 | 880 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 87 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 29.33 | | std | 16.35 | | cv | 0.557 | | sampleLengths | | 0 | 72 | | 1 | 54 | | 2 | 13 | | 3 | 12 | | 4 | 18 | | 5 | 23 | | 6 | 23 | | 7 | 37 | | 8 | 26 | | 9 | 24 | | 10 | 17 | | 11 | 41 | | 12 | 20 | | 13 | 13 | | 14 | 13 | | 15 | 48 | | 16 | 26 | | 17 | 38 | | 18 | 11 | | 19 | 41 | | 20 | 19 | | 21 | 16 | | 22 | 32 | | 23 | 17 | | 24 | 20 | | 25 | 40 | | 26 | 34 | | 27 | 23 | | 28 | 33 | | 29 | 76 |
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| 99.60% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 62 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 102 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 87 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 549 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 6 | | adverbRatio | 0.01092896174863388 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0036429872495446266 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 87 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 87 | | mean | 10.11 | | std | 5.4 | | cv | 0.534 | | sampleLengths | | 0 | 19 | | 1 | 19 | | 2 | 15 | | 3 | 19 | | 4 | 16 | | 5 | 19 | | 6 | 19 | | 7 | 9 | | 8 | 4 | | 9 | 7 | | 10 | 5 | | 11 | 6 | | 12 | 12 | | 13 | 12 | | 14 | 11 | | 15 | 10 | | 16 | 11 | | 17 | 2 | | 18 | 15 | | 19 | 15 | | 20 | 7 | | 21 | 8 | | 22 | 18 | | 23 | 14 | | 24 | 10 | | 25 | 12 | | 26 | 5 | | 27 | 10 | | 28 | 4 | | 29 | 9 | | 30 | 18 | | 31 | 8 | | 32 | 12 | | 33 | 4 | | 34 | 9 | | 35 | 8 | | 36 | 5 | | 37 | 11 | | 38 | 6 | | 39 | 18 | | 40 | 9 | | 41 | 3 | | 42 | 1 | | 43 | 14 | | 44 | 12 | | 45 | 8 | | 46 | 4 | | 47 | 26 | | 48 | 5 | | 49 | 6 |
| |
| 49.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3218390804597701 | | totalSentences | 87 | | uniqueOpeners | 28 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 94.07% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 54 | | matches | | 0 | "She stepped inside, shaking off" | | 1 | "His hair was greyer, the" | | 2 | "He looked up as she" | | 3 | "he said, his voice a" | | 4 | "she replied, returning his smile" | | 5 | "He chuckled, setting the glass" | | 6 | "she said, sliding onto a" | | 7 | "he said, setting the glass" | | 8 | "she said, setting the glass" | | 9 | "he said softly" | | 10 | "She took a deep breath," | | 11 | "she said, her voice soft" | | 12 | "He set the glass down," | | 13 | "She took a deep breath," | | 14 | "His skin was warm, his" | | 15 | "She took a deep breath," | | 16 | "She raised her glass, her" |
| | ratio | 0.315 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 54 | | matches | | 0 | "The familiar scent of aged" | | 1 | "She stepped inside, shaking off" | | 2 | "The bar was unchanged, a" | | 3 | "Silas was behind the bar," | | 4 | "His hair was greyer, the" | | 5 | "He looked up as she" | | 6 | "he said, his voice a" | | 7 | "she replied, returning his smile" | | 8 | "He chuckled, setting the glass" | | 9 | "she said, sliding onto a" | | 10 | "Silas raised an eyebrow but" | | 11 | "he said, setting the glass" | | 12 | "Rory took a sip of" | | 13 | "she said, setting the glass" | | 14 | "Silas leaned against the bar," | | 15 | "Rory laughed, a sharp sound" | | 16 | "Silas nodded, his gaze flicking" | | 17 | "he said softly" | | 18 | "Rory's hand went to the" | | 19 | "She took a deep breath," |
| | ratio | 0.889 | |
| 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 | 19 | | technicalSentenceCount | 1 | | matches | | 0 | "Silas was behind the bar, polishing a glass with a cloth that had seen better days." |
| |
| 58.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, his voice a low rumble" | | 1 | "she said, her voice soft" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 40 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |