| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.75% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1176 | | 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) | |
| 40.48% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1176 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "silence" | | 3 | "footsteps" | | 4 | "whisper" | | 5 | "comforting" | | 6 | "flickered" |
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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 | 150 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 150 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 155 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1183 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 9 | | wordCount | 1159 | | uniqueNames | 4 | | maxNameDensity | 0.43 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Yu-Fei" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Yu-Fei | 2 | | Rory | 5 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Yu-Fei" |
| | globalScore | 1 | | windowScore | 1 | |
| 53.85% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 78 | | glossingSentenceCount | 3 | | matches | | 0 | "seemed muffled swallowed by the damp ground" | | 1 | "something like a hand with too many fingers" | | 2 | "something like wind through a hollow reed" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.845 | | wordCount | 1183 | | matches | | 0 | "not speech, but something like wind through a hollow reed" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 155 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 30.33 | | std | 17.7 | | cv | 0.583 | | sampleLengths | | 0 | 67 | | 1 | 16 | | 2 | 52 | | 3 | 44 | | 4 | 70 | | 5 | 37 | | 6 | 17 | | 7 | 46 | | 8 | 20 | | 9 | 15 | | 10 | 37 | | 11 | 12 | | 12 | 42 | | 13 | 2 | | 14 | 44 | | 15 | 9 | | 16 | 35 | | 17 | 43 | | 18 | 45 | | 19 | 28 | | 20 | 14 | | 21 | 45 | | 22 | 43 | | 23 | 44 | | 24 | 12 | | 25 | 53 | | 26 | 6 | | 27 | 31 | | 28 | 10 | | 29 | 48 | | 30 | 28 | | 31 | 30 | | 32 | 23 | | 33 | 8 | | 34 | 35 | | 35 | 26 | | 36 | 3 | | 37 | 41 | | 38 | 2 |
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| 93.57% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 150 | | matches | | 0 | "been written" | | 1 | "been fourteen" | | 2 | "was caught" | | 3 | "was gone" | | 4 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 199 | | matches | (empty) | |
| 32.26% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 155 | | ratio | 0.039 | | matches | | 0 | "Not quiet — silence." | | 1 | "She found it — a massive oak on the far side, its bark scored with markings she didn't recognise." | | 2 | "Not words — just breath passing over something." | | 3 | "They formed shapes she almost recognised — spirals, crescents, something like a hand with too many fingers." | | 4 | "Its movement was wrong — too smooth, like a puppet on strings." | | 5 | "But one of them — the one who had reached for her — tilted its head." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1155 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.03636363636363636 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006060606060606061 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 155 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 155 | | mean | 7.63 | | std | 5.53 | | cv | 0.724 | | sampleLengths | | 0 | 11 | | 1 | 8 | | 2 | 16 | | 3 | 20 | | 4 | 12 | | 5 | 7 | | 6 | 9 | | 7 | 2 | | 8 | 18 | | 9 | 6 | | 10 | 19 | | 11 | 5 | | 12 | 2 | | 13 | 4 | | 14 | 4 | | 15 | 16 | | 16 | 2 | | 17 | 3 | | 18 | 5 | | 19 | 10 | | 20 | 4 | | 21 | 2 | | 22 | 12 | | 23 | 12 | | 24 | 23 | | 25 | 17 | | 26 | 2 | | 27 | 4 | | 28 | 9 | | 29 | 13 | | 30 | 9 | | 31 | 3 | | 32 | 1 | | 33 | 1 | | 34 | 12 | | 35 | 6 | | 36 | 9 | | 37 | 19 | | 38 | 12 | | 39 | 4 | | 40 | 3 | | 41 | 13 | | 42 | 6 | | 43 | 4 | | 44 | 5 | | 45 | 2 | | 46 | 20 | | 47 | 13 | | 48 | 2 | | 49 | 5 |
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| 43.23% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.3096774193548387 | | totalSentences | 155 | | uniqueOpeners | 48 | |
| 81.97% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 122 | | matches | | 0 | "Even her footsteps seemed muffled," | | 1 | "Just and a set of" | | 2 | "Just the suggestion of them," |
| | ratio | 0.025 | |
| 62.62% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 48 | | totalSentences | 122 | | matches | | 0 | "She stepped through, her delivery" | | 1 | "Her torch beam cut a" | | 2 | "Her boots squelched in the" | | 3 | "She kept the torch on." | | 4 | "She checked her watch." | | 5 | "She'd promised Yu-Fei she'd make" | | 6 | "She stepped into the clearing" | | 7 | "She took out the paper" | | 8 | "She found it — a" | | 9 | "She set her bag down" | | 10 | "She pressed her hand to" | | 11 | "Her voice came out thin" | | 12 | "She cleared her throat." | | 13 | "She didn't know much about" | | 14 | "She checked her watch again." | | 15 | "She'd give it ten more" | | 16 | "She turned her head." | | 17 | "She aimed her torch." | | 18 | "Her mother used to say" | | 19 | "She'd never told her mother" |
| | ratio | 0.393 | |
| 58.36% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 98 | | totalSentences | 122 | | matches | | 0 | "The iron gate at the" | | 1 | "Rory had expected to have" | | 2 | "She stepped through, her delivery" | | 3 | "Her torch beam cut a" | | 4 | "The air smelled of wet" | | 5 | "The pendant against her chest" | | 6 | "A small warmth, gone as" | | 7 | "The path curved, marked by" | | 8 | "Her boots squelched in the" | | 9 | "She kept the torch on." | | 10 | "The silence was wrong." | | 11 | "The kind that pressed against" | | 12 | "She checked her watch." | | 13 | "She'd promised Yu-Fei she'd make" | | 14 | "A special order for a" | | 15 | "The address had been written" | | 16 | "The trees had thinned." | | 17 | "She stepped into the clearing" | | 18 | "The air changed." | | 19 | "The same way a room" |
| | ratio | 0.803 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 122 | | matches | (empty) | | ratio | 0 | |
| 69.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 5 | | matches | | 0 | "In its place, a patch of wildflowers, their stems bent as if something had crushed them." | | 1 | "She followed it, her breath coming in short bursts, her ears straining for any sound." | | 2 | "Tall, thin, made of shadows that moved against the moonlight." | | 3 | "She stood frozen, the torch beam swinging from one shape to the next, her hand shaking." | | 4 | "The shapes retreated, melting into the trees, their forms dissolving like mist." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, her voice steadier than she felt" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0 | | effectiveRatio | 0 | |