| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.15% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1031 | | totalAiIsmAdverbs | 1 | | 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) | |
| 61.20% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1031 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "pulsed" | | 1 | "footsteps" | | 2 | "flickered" | | 3 | "weight" | | 4 | "racing" | | 5 | "pulse" |
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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 | 97 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 97 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 106 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 24 | | totalWords | 1031 | | ratio | 0.023 | | matches | | 0 | "Don't look back." | | 1 | "\"She isn't here tonight.\"" | | 2 | "\"But you came anyway. All on your own. How brave.\"" | | 3 | "\"Will you?\"" | | 4 | "\"It's only just got interesting.\"" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 962 | | uniqueNames | 10 | | maxNameDensity | 0.73 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 7 | | Grove | 2 | | Isolde | 1 | | Heartstone | 1 | | Eva | 2 | | Richmond | 1 | | Park | 1 | | London | 2 | | Covent | 1 | | Garden | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Grove" | | 2 | "Isolde" | | 3 | "Eva" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Covent" | | 4 | "Garden" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | 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 | 1031 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 106 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 23.43 | | std | 19.68 | | cv | 0.84 | | sampleLengths | | 0 | 15 | | 1 | 58 | | 2 | 17 | | 3 | 8 | | 4 | 55 | | 5 | 12 | | 6 | 10 | | 7 | 51 | | 8 | 10 | | 9 | 32 | | 10 | 15 | | 11 | 8 | | 12 | 66 | | 13 | 4 | | 14 | 10 | | 15 | 50 | | 16 | 13 | | 17 | 14 | | 18 | 54 | | 19 | 10 | | 20 | 4 | | 21 | 45 | | 22 | 13 | | 23 | 4 | | 24 | 11 | | 25 | 58 | | 26 | 14 | | 27 | 38 | | 28 | 10 | | 29 | 47 | | 30 | 2 | | 31 | 62 | | 32 | 11 | | 33 | 4 | | 34 | 40 | | 35 | 10 | | 36 | 47 | | 37 | 11 | | 38 | 28 | | 39 | 4 | | 40 | 24 | | 41 | 23 | | 42 | 6 | | 43 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 97 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 166 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 106 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 962 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.031185031185031187 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0031185031185031187 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 106 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 106 | | mean | 9.73 | | std | 8.18 | | cv | 0.841 | | sampleLengths | | 0 | 15 | | 1 | 8 | | 2 | 14 | | 3 | 3 | | 4 | 33 | | 5 | 4 | | 6 | 13 | | 7 | 8 | | 8 | 17 | | 9 | 25 | | 10 | 4 | | 11 | 5 | | 12 | 4 | | 13 | 11 | | 14 | 1 | | 15 | 2 | | 16 | 8 | | 17 | 9 | | 18 | 5 | | 19 | 28 | | 20 | 3 | | 21 | 6 | | 22 | 10 | | 23 | 4 | | 24 | 12 | | 25 | 9 | | 26 | 7 | | 27 | 8 | | 28 | 7 | | 29 | 8 | | 30 | 3 | | 31 | 34 | | 32 | 4 | | 33 | 25 | | 34 | 4 | | 35 | 7 | | 36 | 3 | | 37 | 17 | | 38 | 5 | | 39 | 18 | | 40 | 4 | | 41 | 6 | | 42 | 8 | | 43 | 5 | | 44 | 4 | | 45 | 8 | | 46 | 2 | | 47 | 4 | | 48 | 25 | | 49 | 3 |
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| 62.58% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.41509433962264153 | | totalSentences | 106 | | uniqueOpeners | 44 | |
| 76.63% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 87 | | matches | | 0 | "Just behind her shoulder." | | 1 | "Then it was the park" |
| | ratio | 0.023 | |
| 77.47% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 87 | | matches | | 0 | "She stopped, one hand rising" | | 1 | "She wished, now, that she'd" | | 2 | "They shouldn't bloom together." | | 3 | "Her voice came out smaller" | | 4 | "She kept that gap in" | | 5 | "They came from her left," | | 6 | "She turned towards them and" | | 7 | "Her skin prickled." | | 8 | "She'd worked the night streets" | | 9 | "she murmured, mostly to herself" | | 10 | "She picked a direction, the" | | 11 | "She caught a smell on" | | 12 | "She snapped her head round." | | 13 | "She faced forward again." | | 14 | "She made herself stand still" | | 15 | "It was the attention." | | 16 | "she said, keeping her tone" | | 17 | "She turned to leave." | | 18 | "She'd walked perhaps twenty paces" | | 19 | "She could still see the" |
| | ratio | 0.356 | |
| 51.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 87 | | matches | | 0 | "The pendant grew warm against" | | 1 | "She stopped, one hand rising" | | 2 | "The crimson stone pulsed beneath" | | 3 | "Eva had told her the" | | 4 | "She wished, now, that she'd" | | 5 | "The clearing spread before her," | | 6 | "Wildflowers grew thick at her" | | 7 | "They shouldn't bloom together." | | 8 | "Her voice came out smaller" | | 9 | "The flowers swayed, though no" | | 10 | "Aurora drew a slow breath" | | 11 | "The grass swallowed her footsteps." | | 12 | "A normal night." | | 13 | "An ordinary world, three paces" | | 14 | "She kept that gap in" | | 15 | "A sound reached her." | | 16 | "Bells, faint and high, the" | | 17 | "They came from her left," | | 18 | "She turned towards them and" | | 19 | "The bells answered, this time" |
| | ratio | 0.816 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 87 | | matches | (empty) | | ratio | 0 | |
| 56.28% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 4 | | matches | | 0 | "The crimson stone pulsed beneath her fingers, a slow heartbeat that wasn't her own." | | 1 | "Wildflowers grew thick at her boots, bluebells and foxgloves and others she couldn't name, their petals open wide as though the moon were the sun." | | 2 | "She'd worked the night streets of London for months, dodging drunks and the occasional thing that wasn't a drunk at all, and she'd learned the difference betwee…" | | 3 | "The pendant was hot now, hot enough to feel through her shirt, pulsing in a rhythm that had nothing to do with her racing pulse." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | 0 | "she murmured, mostly to herself" |
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| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "she breathed (breathe)" |
| | dialogueSentences | 16 | | tagDensity | 0.313 | | leniency | 0.625 | | rawRatio | 0.4 | | effectiveRatio | 0.25 | |