| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1204 | | totalAiIsmAdverbs | 2 | | 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) | |
| 66.78% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1204 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "warmth" | | 1 | "pulsed" | | 2 | "silence" | | 3 | "pulse" | | 4 | "weight" | | 5 | "echo" | | 6 | "stomach" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 114 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 114 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 124 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 20 | | totalWords | 1204 | | ratio | 0.017 | | matches | | 0 | "Richmond Park. The oaks that stand alone. Midnight. Bring the stone." | | 1 | "do not show it your face yet." | | 2 | "Rory." | | 3 | "Laila." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 8 | | wordCount | 1129 | | uniqueNames | 5 | | maxNameDensity | 0.35 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Park | 1 | | Yu-Fei | 1 | | January | 1 | | Evan | 1 | | Rory | 4 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like mouths sewn shut with moss" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.831 | | wordCount | 1204 | | matches | | 0 | "Not the absence of sound but the held breath before it, a room" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 124 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 23.15 | | std | 18.55 | | cv | 0.801 | | sampleLengths | | 0 | 35 | | 1 | 21 | | 2 | 41 | | 3 | 37 | | 4 | 14 | | 5 | 15 | | 6 | 57 | | 7 | 1 | | 8 | 26 | | 9 | 8 | | 10 | 55 | | 11 | 8 | | 12 | 61 | | 13 | 5 | | 14 | 5 | | 15 | 14 | | 16 | 62 | | 17 | 1 | | 18 | 20 | | 19 | 26 | | 20 | 11 | | 21 | 13 | | 22 | 31 | | 23 | 30 | | 24 | 20 | | 25 | 20 | | 26 | 11 | | 27 | 5 | | 28 | 28 | | 29 | 5 | | 30 | 12 | | 31 | 46 | | 32 | 16 | | 33 | 59 | | 34 | 15 | | 35 | 3 | | 36 | 37 | | 37 | 50 | | 38 | 6 | | 39 | 15 | | 40 | 66 | | 41 | 8 | | 42 | 1 | | 43 | 22 | | 44 | 1 | | 45 | 10 | | 46 | 35 | | 47 | 7 | | 48 | 4 | | 49 | 51 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 114 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 186 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 124 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1134 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.02821869488536155 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.003527336860670194 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 124 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 124 | | mean | 9.71 | | std | 7.91 | | cv | 0.815 | | sampleLengths | | 0 | 24 | | 1 | 2 | | 2 | 5 | | 3 | 1 | | 4 | 3 | | 5 | 2 | | 6 | 19 | | 7 | 29 | | 8 | 6 | | 9 | 6 | | 10 | 8 | | 11 | 29 | | 12 | 7 | | 13 | 1 | | 14 | 6 | | 15 | 3 | | 16 | 7 | | 17 | 5 | | 18 | 2 | | 19 | 16 | | 20 | 9 | | 21 | 20 | | 22 | 10 | | 23 | 1 | | 24 | 13 | | 25 | 1 | | 26 | 12 | | 27 | 5 | | 28 | 3 | | 29 | 14 | | 30 | 5 | | 31 | 12 | | 32 | 14 | | 33 | 10 | | 34 | 8 | | 35 | 6 | | 36 | 21 | | 37 | 23 | | 38 | 2 | | 39 | 9 | | 40 | 3 | | 41 | 2 | | 42 | 4 | | 43 | 1 | | 44 | 10 | | 45 | 4 | | 46 | 10 | | 47 | 23 | | 48 | 5 | | 49 | 24 |
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| 63.93% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4180327868852459 | | totalSentences | 122 | | uniqueOpeners | 51 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 94 | | matches | | 0 | "Somewhere, very far off, water" | | 1 | "Then it split into two" | | 2 | "Then from her right." | | 3 | "Then, warm and wet against" | | 4 | "Then it went quiet again," | | 5 | "Directly behind her, close enough" |
| | ratio | 0.064 | |
| 54.04% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 94 | | matches | | 0 | "It smelled of ginger and" | | 1 | "She pulled her phone from" | | 2 | "Her voice came out flat" | | 3 | "She had seen them on" | | 4 | "She stopped and counted a" | | 5 | "She let out a breath" | | 6 | "she told the dark" | | 7 | "It pulsed, slow, like a" | | 8 | "She pulled the chain free" | | 9 | "She stepped between two of" | | 10 | "It slid off her shoulders" | | 11 | "Their heads all tilted, as" | | 12 | "She checked her phone." | | 13 | "She watched the numbers for" | | 14 | "They did not change." | | 15 | "She turned a slow circle." | | 16 | "She took a step toward" | | 17 | "Her pulse pounded in the" | | 18 | "She took another step." | | 19 | "she said, and her voice" |
| | ratio | 0.415 | |
| 66.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 94 | | matches | | 0 | "The note had been pushed" | | 1 | "The oaks that stand alone." | | 2 | "Rory had read it four" | | 3 | "It smelled of ginger and" | | 4 | "Something ordinary to hold on" | | 5 | "The park had no business" | | 6 | "London hummed even at midnight," | | 7 | "She pulled her phone from" | | 8 | "The screen lit her knuckles" | | 9 | "Her voice came out flat" | | 10 | "Frost silvered the grass, and" | | 11 | "She had seen them on" | | 12 | "She stopped and counted a" | | 13 | "She let out a breath" | | 14 | "she told the dark" | | 15 | "The pendant lay against her" | | 16 | "It pulsed, slow, like a" | | 17 | "She pulled the chain free" | | 18 | "A faint light moved inside" | | 19 | "She stepped between two of" |
| | ratio | 0.787 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 94 | | matches | | 0 | "Now she stood at the" | | 1 | "Now she counted them again" |
| | ratio | 0.021 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 2 | | fancyTags | | 0 | "Rory whispered (whisper)" | | 1 | "she breathed (breathe)" |
| | dialogueSentences | 18 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0.25 | | effectiveRatio | 0.222 | |