| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1709 | | 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) | |
| 79.52% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1709 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "echo" | | 1 | "pulsed" | | 2 | "pulse" | | 3 | "familiar" | | 4 | "could feel" | | 5 | "whisper" |
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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 | 206 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 206 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "started to" | | 2 | "tried to" | | 3 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 212 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1706 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 84.83% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1688 | | uniqueNames | 10 | | maxNameDensity | 1.3 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 22 | | Golden | 1 | | Empress | 1 | | Park | 2 | | Heartstone | 1 | | Yu-Fei | 1 | | December | 1 | | Eva | 1 | | Richmond | 2 | | One | 3 |
| | persons | | 0 | "Rory" | | 1 | "Yu-Fei" | | 2 | "Eva" | | 3 | "One" |
| | places | | 0 | "Golden" | | 1 | "Park" | | 2 | "December" | | 3 | "Richmond" |
| | globalScore | 0.848 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 125 | | glossingSentenceCount | 2 | | matches | | 0 | "red that seemed to live beneath the stone’s surface" | | 1 | "appeared ahead silvered by streetlights" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1706 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 212 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 91 | | mean | 18.75 | | std | 16.04 | | cv | 0.855 | | sampleLengths | | 0 | 19 | | 1 | 19 | | 2 | 27 | | 3 | 46 | | 4 | 19 | | 5 | 35 | | 6 | 3 | | 7 | 13 | | 8 | 65 | | 9 | 49 | | 10 | 2 | | 11 | 62 | | 12 | 7 | | 13 | 3 | | 14 | 42 | | 15 | 3 | | 16 | 9 | | 17 | 33 | | 18 | 56 | | 19 | 12 | | 20 | 1 | | 21 | 5 | | 22 | 58 | | 23 | 18 | | 24 | 4 | | 25 | 8 | | 26 | 15 | | 27 | 12 | | 28 | 25 | | 29 | 4 | | 30 | 20 | | 31 | 31 | | 32 | 1 | | 33 | 2 | | 34 | 10 | | 35 | 11 | | 36 | 42 | | 37 | 7 | | 38 | 18 | | 39 | 37 | | 40 | 5 | | 41 | 50 | | 42 | 4 | | 43 | 28 | | 44 | 3 | | 45 | 20 | | 46 | 21 | | 47 | 5 | | 48 | 34 | | 49 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 206 | | matches | | 0 | "were wilted" | | 1 | "was unchanged" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 276 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 212 | | ratio | 0.009 | | matches | | 0 | "Her fingers were clumsy from the cold—or from the heat." | | 1 | "Rory saw the pale oval of a face—or the suggestion of one—tilted toward her." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1694 | | adjectiveStacks | 2 | | stackExamples | | 0 | "White star-shaped blooms" | | 1 | "lay hot against her" |
| | adverbCount | 60 | | adverbRatio | 0.03541912632821724 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.004132231404958678 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 212 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 212 | | mean | 8.05 | | std | 5.62 | | cv | 0.698 | | sampleLengths | | 0 | 19 | | 1 | 9 | | 2 | 2 | | 3 | 6 | | 4 | 2 | | 5 | 2 | | 6 | 2 | | 7 | 23 | | 8 | 27 | | 9 | 19 | | 10 | 19 | | 11 | 6 | | 12 | 5 | | 13 | 17 | | 14 | 7 | | 15 | 3 | | 16 | 5 | | 17 | 8 | | 18 | 4 | | 19 | 1 | | 20 | 2 | | 21 | 17 | | 22 | 27 | | 23 | 9 | | 24 | 5 | | 25 | 10 | | 26 | 11 | | 27 | 4 | | 28 | 17 | | 29 | 7 | | 30 | 2 | | 31 | 12 | | 32 | 13 | | 33 | 7 | | 34 | 7 | | 35 | 23 | | 36 | 7 | | 37 | 3 | | 38 | 2 | | 39 | 20 | | 40 | 20 | | 41 | 3 | | 42 | 9 | | 43 | 11 | | 44 | 14 | | 45 | 4 | | 46 | 4 | | 47 | 6 | | 48 | 18 | | 49 | 8 |
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| 42.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.23222748815165878 | | totalSentences | 211 | | uniqueOpeners | 49 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 10 | | totalSentences | 179 | | matches | | 0 | "Just a pin dropped on" | | 1 | "Then she had put the" | | 2 | "Then it pulsed once, faintly," | | 3 | "Instead, she saw more trees," | | 4 | "Then a third, slower than" | | 5 | "Even that stopped when she" | | 6 | "Then a sound came from" | | 7 | "More like the sound her" | | 8 | "Then, from somewhere far beyond" | | 9 | "Somewhere inside them, in a" |
| | ratio | 0.056 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 51 | | totalSentences | 179 | | matches | | 0 | "You want to know who" | | 1 | "She had stared at the" | | 2 | "Its silver chain was cold." | | 3 | "It disappeared among the trees" | | 4 | "She checked her phone." | | 5 | "She had followed a narrow" | | 6 | "She was certain of that." | | 7 | "She took one step between" | | 8 | "She let go." | | 9 | "It ought to have lit" | | 10 | "It did not." | | 11 | "She took her phone out" | | 12 | "She walked the circle, keeping" | | 13 | "Her boots whispered through the" | | 14 | "It was dark with age" | | 15 | "She didn’t touch it." | | 16 | "Her shoulder struck the standing" | | 17 | "She listened, holding still." | | 18 | "She turned toward it." | | 19 | "She wrapped them between her" |
| | ratio | 0.285 | |
| 63.35% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 142 | | totalSentences | 179 | | matches | | 0 | "The message had arrived at" | | 1 | "You want to know who" | | 2 | "The stones at the north" | | 3 | "She had stared at the" | | 4 | "The pendant rested against her" | | 5 | "Its silver chain was cold." | | 6 | "The gem gave off a" | | 7 | "Rory pressed it between finger" | | 8 | "The word sounded too small." | | 9 | "It disappeared among the trees" | | 10 | "She checked her phone." | | 11 | "The map showed a blank" | | 12 | "She had followed a narrow" | | 13 | "The message pin had led" | | 14 | "She was certain of that." | | 15 | "The stones stood in a" | | 16 | "Oak, perhaps, though the moonlight" | | 17 | "Moss furred their sides." | | 18 | "Rory looked from the flowers" | | 19 | "None were wilted or bent" |
| | ratio | 0.793 | |
| 55.87% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 179 | | matches | | 0 | "Now she stood beneath the" | | 1 | "Now there was only the" |
| | ratio | 0.011 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 67 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 8 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.5 | | effectiveRatio | 0.25 | |