| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.50% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1111 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1111 | | totalAiIsms | 23 | | found | | | highlights | | 0 | "could feel" | | 1 | "warmth" | | 2 | "navigate" | | 3 | "gloom" | | 4 | "silence" | | 5 | "pulsed" | | 6 | "weight" | | 7 | "aftermath" | | 8 | "sense of" | | 9 | "chill" | | 10 | "echo" | | 11 | "rhythmic" | | 12 | "grave" | | 13 | "throb" | | 14 | "footsteps" | | 15 | "quickened" |
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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 | 127 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 127 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 129 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1114 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 1105 | | uniqueNames | 14 | | maxNameDensity | 0.36 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "London" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Kingston | 2 | | Gate | 2 | | Heartstone | 1 | | Pendant | 1 | | Grove | 2 | | South | 1 | | Circular | 1 | | Evan | 1 | | London | 2 | | Yu-Fei | 1 | | October | 1 | | Rory | 4 |
| | persons | | 0 | "Gate" | | 1 | "Pendant" | | 2 | "Grove" | | 3 | "Evan" | | 4 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Kingston" | | 3 | "South" | | 4 | "London" | | 5 | "October" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like announcing herself, like knoc" |
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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 | 1114 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 129 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 20.63 | | std | 17.37 | | cv | 0.842 | | sampleLengths | | 0 | 63 | | 1 | 70 | | 2 | 42 | | 3 | 42 | | 4 | 4 | | 5 | 35 | | 6 | 18 | | 7 | 12 | | 8 | 5 | | 9 | 48 | | 10 | 47 | | 11 | 7 | | 12 | 11 | | 13 | 45 | | 14 | 34 | | 15 | 8 | | 16 | 25 | | 17 | 30 | | 18 | 1 | | 19 | 19 | | 20 | 30 | | 21 | 3 | | 22 | 5 | | 23 | 37 | | 24 | 2 | | 25 | 4 | | 26 | 26 | | 27 | 42 | | 28 | 6 | | 29 | 8 | | 30 | 42 | | 31 | 6 | | 32 | 3 | | 33 | 20 | | 34 | 4 | | 35 | 31 | | 36 | 6 | | 37 | 4 | | 38 | 42 | | 39 | 27 | | 40 | 12 | | 41 | 2 | | 42 | 28 | | 43 | 14 | | 44 | 3 | | 45 | 4 | | 46 | 32 | | 47 | 3 | | 48 | 26 | | 49 | 19 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 127 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 190 | | matches | | 0 | "was being" | | 1 | "was trying" | | 2 | "was like speaking" | | 3 | "was glowing" | | 4 | "were getting" | | 5 | "was like falling" |
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| 98.56% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 129 | | ratio | 0.016 | | matches | | 0 | "The temperature dropped but not with a chill — it was the absence of warmth, a sudden hollow cold that had nothing to do with the autumn night." | | 1 | "Not with the breeze — there was no breeze — but with purpose." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1106 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 25 | | adverbRatio | 0.022603978300180832 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006329113924050633 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 129 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 129 | | mean | 8.64 | | std | 6.82 | | cv | 0.789 | | sampleLengths | | 0 | 12 | | 1 | 20 | | 2 | 3 | | 3 | 28 | | 4 | 8 | | 5 | 22 | | 6 | 4 | | 7 | 13 | | 8 | 23 | | 9 | 11 | | 10 | 10 | | 11 | 21 | | 12 | 11 | | 13 | 18 | | 14 | 13 | | 15 | 4 | | 16 | 7 | | 17 | 17 | | 18 | 4 | | 19 | 7 | | 20 | 4 | | 21 | 14 | | 22 | 7 | | 23 | 5 | | 24 | 5 | | 25 | 17 | | 26 | 13 | | 27 | 18 | | 28 | 11 | | 29 | 1 | | 30 | 19 | | 31 | 16 | | 32 | 4 | | 33 | 3 | | 34 | 11 | | 35 | 4 | | 36 | 13 | | 37 | 28 | | 38 | 8 | | 39 | 16 | | 40 | 4 | | 41 | 3 | | 42 | 3 | | 43 | 8 | | 44 | 8 | | 45 | 4 | | 46 | 13 | | 47 | 4 | | 48 | 9 | | 49 | 17 |
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| 46.51% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3488372093023256 | | totalSentences | 129 | | uniqueOpeners | 45 | |
| 30.58% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 109 | | matches | | 0 | "Just the dark shapes of" |
| | ratio | 0.009 | |
| 69.54% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 109 | | matches | | 0 | "She knew them." | | 1 | "She'd mapped them out over" | | 2 | "It had been pulsing since" | | 3 | "She'd tried ignoring it." | | 4 | "She'd brought a torch but" | | 5 | "She stopped at the threshold" | | 6 | "She'd walked through Richmond Park" | | 7 | "She pressed her palm against" | | 8 | "she whispered to herself" | | 9 | "She'd come because of the" | | 10 | "Her mind was trying to" | | 11 | "She stepped through the gap" | | 12 | "They shouldn't be here." | | 13 | "She snapped her head toward" | | 14 | "She'd felt it more than" | | 15 | "Her voice came out flat," | | 16 | "It was like speaking into" | | 17 | "She looked down and saw" | | 18 | "She should leave." | | 19 | "She knew she should leave." |
| | ratio | 0.376 | |
| 74.68% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 109 | | matches | | 0 | "Rory entered Richmond Park through" | | 1 | "The gates would lock at" | | 2 | "She knew them." | | 3 | "She'd mapped them out over" | | 4 | "The Heartstone Pendant lay warm" | | 5 | "It had been pulsing since" | | 6 | "She'd tried ignoring it." | | 7 | "The moon was a thin" | | 8 | "She'd brought a torch but" | | 9 | "Something about lighting up the" | | 10 | "The first standing stone emerged" | | 11 | "She stopped at the threshold" | | 12 | "The silence was wrong." | | 13 | "She'd walked through Richmond Park" | | 14 | "The pendant pulsed harder." | | 15 | "She pressed her palm against" | | 16 | "she whispered to herself" | | 17 | "She'd come because of the" | | 18 | "Dreams of standing in this" | | 19 | "Dreams where she couldn't move," |
| | ratio | 0.771 | |
| 45.87% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 109 | | matches | | 0 | "Now there was nothing." |
| | ratio | 0.009 | |
| 99.13% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 3 | | matches | | 0 | "A shape behind her, taller than any man, thinner, with limbs that bent in ways that broke the human silhouette." | | 1 | "She dove through it, her shoulder scraping against stone, her feet finding the grass of the park beyond the circle." | | 2 | "She didn't stop until she reached the Kingston Gate, gasping, her hands shaking as she gripped the cold iron." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 1 | | effectiveRatio | 0.667 | |