| 4.88% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 4 | | adverbTags | | 0 | "he said finally [finally]" | | 1 | "He gestured vaguely [vaguely]" | | 2 | "She stopped again [again]" | | 3 | "she said finally [finally]" |
| | dialogueSentences | 41 | | tagDensity | 0.463 | | leniency | 0.927 | | rawRatio | 0.211 | | effectiveRatio | 0.195 | |
| 85.75% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1053 | | totalAiIsmAdverbs | 3 | | found | | 0 | | adverb | "reluctantly" | | count | 1 |
| | 1 | | | 2 | |
| | highlights | | 0 | "reluctantly" | | 1 | "really" | | 2 | "very" |
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| 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) | |
| 66.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1053 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "flickered" | | 1 | "stomach" | | 2 | "familiar" | | 3 | "pulse" | | 4 | "silence" |
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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 | 1 | | narrationSentences | 48 | | matches | | |
| 53.57% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 48 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "managed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 70 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 6 | | totalWords | 1061 | | ratio | 0.006 | | matches | | 0 | "sending word" | | 1 | "transactions." | | 2 | "all this is." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 687 | | uniqueNames | 11 | | maxNameDensity | 0.58 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 4 | | Golden | 1 | | Empress | 1 | | Moreau | 1 | | Eva | 2 | | Ptolemy | 2 | | Lucien | 4 | | Brick | 1 | | Lane | 1 | | Marrakesh | 1 | | London | 1 |
| | persons | | 0 | "Rory" | | 1 | "Empress" | | 2 | "Moreau" | | 3 | "Eva" | | 4 | "Lucien" |
| | places | | 0 | "Golden" | | 1 | "Brick" | | 2 | "Lane" | | 3 | "Marrakesh" | | 4 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 71.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 32 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a performance" |
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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 | 1061 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 70 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 29.47 | | std | 22.8 | | cv | 0.773 | | sampleLengths | | 0 | 48 | | 1 | 39 | | 2 | 2 | | 3 | 44 | | 4 | 49 | | 5 | 51 | | 6 | 7 | | 7 | 13 | | 8 | 12 | | 9 | 30 | | 10 | 28 | | 11 | 72 | | 12 | 23 | | 13 | 2 | | 14 | 42 | | 15 | 2 | | 16 | 3 | | 17 | 44 | | 18 | 21 | | 19 | 24 | | 20 | 4 | | 21 | 79 | | 22 | 13 | | 23 | 4 | | 24 | 58 | | 25 | 56 | | 26 | 64 | | 27 | 49 | | 28 | 19 | | 29 | 10 | | 30 | 5 | | 31 | 4 | | 32 | 18 | | 33 | 72 | | 34 | 22 | | 35 | 28 |
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| 90.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 48 | | matches | | 0 | "been poured" | | 1 | "was, slipped" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 128 | | matches | | 0 | "was still cursing" | | 1 | "was doing" | | 2 | "was looking" | | 3 | "was cataloguing" | | 4 | "was giving" |
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| 20.41% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 70 | | ratio | 0.043 | | matches | | 0 | "One amber eye caught the hallway light; the black one gave nothing back at all." | | 1 | "He smelled the same — cedar and something darker underneath, something that was never quite human." | | 2 | "He was looking at her — really looking, the way he used to, like he was cataloguing every change since he'd last seen her, filing it away for later." |
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| 85.18% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 685 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.05693430656934306 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.010218978102189781 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 70 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 70 | | mean | 15.16 | | std | 12.2 | | cv | 0.805 | | sampleLengths | | 0 | 20 | | 1 | 28 | | 2 | 24 | | 3 | 15 | | 4 | 2 | | 5 | 13 | | 6 | 24 | | 7 | 7 | | 8 | 29 | | 9 | 20 | | 10 | 15 | | 11 | 19 | | 12 | 17 | | 13 | 7 | | 14 | 13 | | 15 | 9 | | 16 | 3 | | 17 | 30 | | 18 | 27 | | 19 | 1 | | 20 | 5 | | 21 | 4 | | 22 | 37 | | 23 | 16 | | 24 | 10 | | 25 | 18 | | 26 | 5 | | 27 | 2 | | 28 | 26 | | 29 | 16 | | 30 | 2 | | 31 | 3 | | 32 | 5 | | 33 | 29 | | 34 | 10 | | 35 | 21 | | 36 | 5 | | 37 | 19 | | 38 | 4 | | 39 | 44 | | 40 | 33 | | 41 | 2 | | 42 | 11 | | 43 | 2 | | 44 | 4 | | 45 | 28 | | 46 | 22 | | 47 | 2 | | 48 | 6 | | 49 | 56 |
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| 90.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5714285714285714 | | totalSentences | 70 | | uniqueOpeners | 40 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 45 | | matches | | 0 | "Instead she found herself stepping" | | 1 | "Even the traffic on Brick" | | 2 | "Instead he paused at the" |
| | ratio | 0.067 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 45 | | matches | | 0 | "She was still cursing under" | | 1 | "She didn't move to let" | | 2 | "He glanced past her shoulder" | | 3 | "She still hadn't let him" | | 4 | "Her heart was doing something" | | 5 | "She stopped herself, jaw tight" | | 6 | "he finished for her, quiet" | | 7 | "She should shut the door." | | 8 | "She knew she should." | | 9 | "He smelled the same —" | | 10 | "It hit her low in" | | 11 | "She set the takeaway bag" | | 12 | "He didn't answer right away." | | 13 | "He was looking at her" | | 14 | "She felt it crawl up" | | 15 | "he said finally" | | 16 | "His gaze dropped to it" | | 17 | "He gestured vaguely between them," | | 18 | "Her voice came out flatter" | | 19 | "She crossed her arms, putting" |
| | ratio | 0.6 | |
| 26.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 39 | | totalSentences | 45 | | matches | | 0 | "The three deadbolts stuck the" | | 1 | "She was still cursing under" | | 2 | "Lucien Moreau stood on Eva's" | | 3 | "She didn't move to let" | | 4 | "Ptolemy, traitor that he was," | | 5 | "He glanced past her shoulder" | | 6 | "She still hadn't let him" | | 7 | "Her heart was doing something" | | 8 | "She stopped herself, jaw tight" | | 9 | "he finished for her, quiet" | | 10 | "Something flickered behind his mismatched" | | 11 | "A corner of his mouth" | | 12 | "She should shut the door." | | 13 | "She knew she should." | | 14 | "He smelled the same —" | | 15 | "It hit her low in" | | 16 | "Rory said, shutting the door" | | 17 | "She set the takeaway bag" | | 18 | "He didn't answer right away." | | 19 | "He was looking at her" |
| | ratio | 0.867 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 45 | | matches | (empty) | | ratio | 0 | |
| 67.67% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 2 | | matches | | 0 | "Her heart was doing something complicated and unwelcome, a hard fast rhythm that had nothing to do with fear." | | 1 | "He smelled the same — cedar and something darker underneath, something that was never quite human." |
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| 46.05% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 3 | | matches | | 0 | "She stopped, jaw tight" | | 1 | "he finished, quiet" | | 2 | "he said, low," |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 41 | | tagDensity | 0.146 | | leniency | 0.293 | | rawRatio | 0.167 | | effectiveRatio | 0.049 | |