| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 46 | | tagDensity | 0.478 | | leniency | 0.957 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1083 | | 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) | |
| 53.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1083 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "sentinels" | | 1 | "whisper" | | 2 | "footsteps" | | 3 | "stomach" | | 4 | "shimmered" | | 5 | "gloom" | | 6 | "pulsed" | | 7 | "comforting" | | 8 | "churning" |
| |
| 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 | 164 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 164 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 188 | | 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 | 1083 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 10.61% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 62 | | wordCount | 825 | | uniqueNames | 8 | | maxNameDensity | 2.79 | | worstName | "Rory" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Rory" | | discoveredNames | | February | 2 | | Rory | 23 | | Eva | 10 | | Isolde | 14 | | Heartstone | 1 | | Nyx | 6 | | London | 1 | | Like | 5 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Isolde" | | 3 | "Heartstone" | | 4 | "Nyx" | | 5 | "Like" |
| | places | | | globalScore | 0.106 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | 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 | 1083 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 188 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 19.34 | | std | 16.42 | | cv | 0.849 | | sampleLengths | | 0 | 54 | | 1 | 9 | | 2 | 47 | | 3 | 19 | | 4 | 15 | | 5 | 6 | | 6 | 6 | | 7 | 10 | | 8 | 57 | | 9 | 18 | | 10 | 3 | | 11 | 50 | | 12 | 14 | | 13 | 43 | | 14 | 3 | | 15 | 13 | | 16 | 14 | | 17 | 21 | | 18 | 3 | | 19 | 64 | | 20 | 20 | | 21 | 7 | | 22 | 32 | | 23 | 7 | | 24 | 54 | | 25 | 4 | | 26 | 12 | | 27 | 27 | | 28 | 6 | | 29 | 27 | | 30 | 3 | | 31 | 47 | | 32 | 6 | | 33 | 7 | | 34 | 3 | | 35 | 33 | | 36 | 5 | | 37 | 25 | | 38 | 12 | | 39 | 15 | | 40 | 8 | | 41 | 22 | | 42 | 14 | | 43 | 11 | | 44 | 23 | | 45 | 21 | | 46 | 40 | | 47 | 40 | | 48 | 5 | | 49 | 31 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 164 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 158 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 188 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 828 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.024154589371980676 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0012077294685990338 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 188 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 188 | | mean | 5.76 | | std | 4.57 | | cv | 0.793 | | sampleLengths | | 0 | 16 | | 1 | 13 | | 2 | 13 | | 3 | 10 | | 4 | 2 | | 5 | 9 | | 6 | 3 | | 7 | 14 | | 8 | 4 | | 9 | 2 | | 10 | 10 | | 11 | 2 | | 12 | 2 | | 13 | 10 | | 14 | 13 | | 15 | 2 | | 16 | 4 | | 17 | 9 | | 18 | 6 | | 19 | 6 | | 20 | 6 | | 21 | 5 | | 22 | 5 | | 23 | 10 | | 24 | 8 | | 25 | 2 | | 26 | 2 | | 27 | 12 | | 28 | 12 | | 29 | 4 | | 30 | 7 | | 31 | 3 | | 32 | 15 | | 33 | 3 | | 34 | 3 | | 35 | 3 | | 36 | 2 | | 37 | 7 | | 38 | 19 | | 39 | 7 | | 40 | 9 | | 41 | 3 | | 42 | 11 | | 43 | 2 | | 44 | 7 | | 45 | 9 | | 46 | 7 | | 47 | 3 | | 48 | 5 | | 49 | 6 |
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| 68.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.43617021276595747 | | totalSentences | 188 | | uniqueOpeners | 82 | |
| 32.05% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 104 | | matches | | 0 | "Just a pale luminescence rising" |
| | ratio | 0.01 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 104 | | matches | | 0 | "They never made any." | | 1 | "Her silver hair caught light" | | 2 | "They bloomed in February." | | 3 | "They bloomed like they'd never" | | 4 | "Her stomach turned over once," | | 5 | "She tasted peaches and rain" | | 6 | "She looked down." | | 7 | "She stepped back." | | 8 | "Their branches wove together overhead," | | 9 | "She pressed her palm to" | | 10 | "They hovered at the fork," | | 11 | "It pulled at something behind" | | 12 | "They walked downhill." | | 13 | "She pulled it out from" | | 14 | "They had drifted closer to" | | 15 | "They walked along the riverbank." | | 16 | "It clung to her jeans" | | 17 | "They walked through together." |
| | ratio | 0.173 | |
| 56.15% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 104 | | matches | | 0 | "The oak trees stood like" | | 1 | "Rory stopped at the edge" | | 2 | "Moss crept up their sides" | | 3 | "Eva's voice dropped to a" | | 4 | "Rory felt it." | | 5 | "A pressure against her skin," | | 6 | "The air smelled wrong." | | 7 | "A fire that had burned" | | 8 | "Nyx drifted past her, their" | | 9 | "They never made any." | | 10 | "Nyx said, their voice riding" | | 11 | "Eva pulled her coat tighter." | | 12 | "Isolde waited for them at" | | 13 | "Her silver hair caught light" | | 14 | "Bluebells and foxgloves and something" | | 15 | "They bloomed in February." | | 16 | "They bloomed like they'd never" | | 17 | "Rory crossed first." | | 18 | "The world shifted." | | 19 | "Her stomach turned over once," |
| | ratio | 0.808 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 104 | | matches | (empty) | | ratio | 0 | |
| 49.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 3 | | matches | | 0 | "Just a pale luminescence rising from the wildflowers that carpeted the ground." | | 1 | "Something pale and smooth, like bone, that stretched ahead into the gloom." | | 2 | "Glimpses of scales that caught the amber light and threw it back in rainbows." |
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| 79.55% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 2 | | matches | | 0 | "Nyx said, their voice riding the breeze" | | 1 | "Eva said, but her voice had gone thin" |
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| 84.78% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 3 | | fancyTags | | 0 | "Rory muttered (mutter)" | | 1 | "Rory repeated (repeat)" | | 2 | "Nyx whispered (whisper)" |
| | dialogueSentences | 46 | | tagDensity | 0.37 | | leniency | 0.739 | | rawRatio | 0.176 | | effectiveRatio | 0.13 | |