| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 69 | | tagDensity | 0.217 | | leniency | 0.435 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1433 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | |
| 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) | |
| 93.02% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1433 | | totalAiIsms | 2 | | 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 | 72 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 72 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 126 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 6 | | totalWords | 1433 | | ratio | 0.004 | | matches | | 0 | "GO AWAY" | | 1 | "other" | | 2 | "Voilà" | | 3 | "down" | | 4 | "chérie" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 879 | | uniqueNames | 10 | | maxNameDensity | 0.91 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 8 | | Mrs | 1 | | Begum | 1 | | Ptolemy | 4 | | Lucien | 1 | | Moreau | 1 | | Eva | 4 | | Sumerian | 1 | | Quality | 1 | | Street | 1 |
| | persons | | 0 | "Rory" | | 1 | "Mrs" | | 2 | "Begum" | | 3 | "Ptolemy" | | 4 | "Lucien" | | 5 | "Moreau" | | 6 | "Eva" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | 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 | 1433 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 126 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 76 | | mean | 18.86 | | std | 17.37 | | cv | 0.921 | | sampleLengths | | 0 | 42 | | 1 | 9 | | 2 | 53 | | 3 | 4 | | 4 | 25 | | 5 | 17 | | 6 | 23 | | 7 | 3 | | 8 | 2 | | 9 | 9 | | 10 | 47 | | 11 | 4 | | 12 | 32 | | 13 | 4 | | 14 | 14 | | 15 | 25 | | 16 | 1 | | 17 | 27 | | 18 | 48 | | 19 | 5 | | 20 | 60 | | 21 | 1 | | 22 | 1 | | 23 | 24 | | 24 | 18 | | 25 | 3 | | 26 | 6 | | 27 | 65 | | 28 | 3 | | 29 | 1 | | 30 | 9 | | 31 | 6 | | 32 | 22 | | 33 | 21 | | 34 | 6 | | 35 | 37 | | 36 | 19 | | 37 | 26 | | 38 | 26 | | 39 | 8 | | 40 | 27 | | 41 | 15 | | 42 | 30 | | 43 | 4 | | 44 | 5 | | 45 | 17 | | 46 | 5 | | 47 | 41 | | 48 | 33 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 140 | | matches | | 0 | "was standing" | | 1 | "was holding" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 126 | | ratio | 0.008 | | matches | | 0 | "\"No.\" The amber eye caught the landing bulb; the black one swallowed it." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 882 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.017006802721088437 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0022675736961451248 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 126 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 126 | | mean | 11.37 | | std | 8.77 | | cv | 0.771 | | sampleLengths | | 0 | 25 | | 1 | 17 | | 2 | 9 | | 3 | 18 | | 4 | 9 | | 5 | 26 | | 6 | 4 | | 7 | 17 | | 8 | 8 | | 9 | 13 | | 10 | 4 | | 11 | 9 | | 12 | 14 | | 13 | 3 | | 14 | 2 | | 15 | 9 | | 16 | 18 | | 17 | 11 | | 18 | 18 | | 19 | 4 | | 20 | 32 | | 21 | 4 | | 22 | 14 | | 23 | 2 | | 24 | 20 | | 25 | 3 | | 26 | 1 | | 27 | 13 | | 28 | 14 | | 29 | 3 | | 30 | 31 | | 31 | 5 | | 32 | 9 | | 33 | 5 | | 34 | 33 | | 35 | 12 | | 36 | 6 | | 37 | 9 | | 38 | 1 | | 39 | 1 | | 40 | 24 | | 41 | 18 | | 42 | 3 | | 43 | 6 | | 44 | 33 | | 45 | 6 | | 46 | 26 | | 47 | 3 | | 48 | 1 | | 49 | 9 |
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| 63.23% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4126984126984127 | | totalSentences | 126 | | uniqueOpeners | 52 | |
| 98.04% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 68 | | matches | | 0 | "Somewhere below, a pan hit" | | 1 | "Gently, his thumb resting over" |
| | ratio | 0.029 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 68 | | matches | | 0 | "She expected Mrs Begum from" | | 1 | "She got Lucien Moreau instead," | | 2 | "His charcoal jacket had gone" | | 3 | "He held the ivory-handled cane" | | 4 | "He flinched, a small tightening" | | 5 | "He looked down at the" | | 6 | "His lips twitched." | | 7 | "She turned from the door" | | 8 | "He hadn't touched a deadbolt." | | 9 | "He had the grace to" | | 10 | "He stepped sideways off a" | | 11 | "It had even less for" | | 12 | "He filled it the way" | | 13 | "She kept her back to" | | 14 | "It was easier to talk" | | 15 | "She dropped the teabags in" | | 16 | "He'd taken off his gloves" | | 17 | "She remembered that habit." | | 18 | "She remembered a lot of" | | 19 | "He said it flat, like" |
| | ratio | 0.588 | |
| 11.47% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 68 | | matches | | 0 | "The third deadbolt stuck, the" | | 1 | "She expected Mrs Begum from" | | 2 | "She got Lucien Moreau instead," | | 3 | "Rain had flattened his hair" | | 4 | "His charcoal jacket had gone" | | 5 | "He held the ivory-handled cane" | | 6 | "Rory kept her hand on" | | 7 | "The amber eye caught the" | | 8 | "Ptolemy wound through her ankles" | | 9 | "He flinched, a small tightening" | | 10 | "Rain ticked off the hem" | | 11 | "He looked down at the" | | 12 | "His lips twitched." | | 13 | "Rory heard her voice crack" | | 14 | "The kettle screamed." | | 15 | "She turned from the door" | | 16 | "He hadn't touched a deadbolt." | | 17 | "He had the grace to" | | 18 | "He stepped sideways off a" | | 19 | "The flat had never had" |
| | ratio | 0.897 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 1 | | matches | | 0 | "He held the ivory-handled cane against his thigh instead of leaning on it, like a man who wanted both hands free and hadn't decided for what." |
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| 58.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 2 | | matches | | 0 | "He spread, gloves dangling" | | 1 | "The words came out, as though they'd cost him skin" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 69 | | tagDensity | 0.029 | | leniency | 0.058 | | rawRatio | 0 | | effectiveRatio | 0 | |