| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.61% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1476 | | 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) | |
| 55.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1476 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "weight" | | 1 | "echoed" | | 2 | "calculating" | | 3 | "silence" | | 4 | "traced" | | 5 | "pulse" | | 6 | "measured" | | 7 | "aligned" |
| |
| 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 | 235 | | matches | (empty) | |
| 94.22% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 8 | | hedgeCount | 0 | | narrationSentences | 235 | | filterMatches | | 0 | "know" | | 1 | "think" | | 2 | "feel" | | 3 | "look" | | 4 | "see" |
| | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 235 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1476 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 1473 | | uniqueNames | 11 | | maxNameDensity | 1.7 | | worstName | "You" | | maxWindowNameDensity | 4.5 | | worstWindowName | "You" | | discoveredNames | | Marseille | 1 | | Lucien | 2 | | Luc | 1 | | East | 1 | | End | 1 | | Cardiff | 1 | | Brick | 1 | | Lane | 1 | | London | 1 | | Rory | 7 | | You | 25 |
| | persons | | 0 | "Lucien" | | 1 | "Luc" | | 2 | "Rory" | | 3 | "You" |
| | places | | 0 | "Marseille" | | 1 | "East" | | 2 | "End" | | 3 | "Cardiff" | | 4 | "Brick" | | 5 | "Lane" | | 6 | "London" |
| | globalScore | 0.651 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 103 | | 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 | 1476 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 235 | | matches | | 0 | "hate that I" | | 1 | "hate that I" | | 2 | "hate that I" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 26.84 | | std | 13.89 | | cv | 0.518 | | sampleLengths | | 0 | 17 | | 1 | 43 | | 2 | 4 | | 3 | 34 | | 4 | 7 | | 5 | 24 | | 6 | 9 | | 7 | 31 | | 8 | 30 | | 9 | 18 | | 10 | 7 | | 11 | 61 | | 12 | 5 | | 13 | 16 | | 14 | 43 | | 15 | 9 | | 16 | 28 | | 17 | 13 | | 18 | 29 | | 19 | 34 | | 20 | 16 | | 21 | 22 | | 22 | 34 | | 23 | 19 | | 24 | 14 | | 25 | 10 | | 26 | 43 | | 27 | 47 | | 28 | 12 | | 29 | 8 | | 30 | 46 | | 31 | 28 | | 32 | 21 | | 33 | 27 | | 34 | 39 | | 35 | 42 | | 36 | 48 | | 37 | 24 | | 38 | 3 | | 39 | 26 | | 40 | 29 | | 41 | 43 | | 42 | 24 | | 43 | 31 | | 44 | 39 | | 45 | 40 | | 46 | 26 | | 47 | 51 | | 48 | 42 | | 49 | 17 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 235 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 321 | | matches | | 0 | "were standing" | | 1 | "was calculating" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 235 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 367 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 11 | | adverbRatio | 0.02997275204359673 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0027247956403269754 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 235 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 235 | | mean | 6.28 | | std | 3.74 | | cv | 0.596 | | sampleLengths | | 0 | 5 | | 1 | 7 | | 2 | 5 | | 3 | 5 | | 4 | 5 | | 5 | 7 | | 6 | 9 | | 7 | 9 | | 8 | 8 | | 9 | 4 | | 10 | 4 | | 11 | 8 | | 12 | 13 | | 13 | 9 | | 14 | 4 | | 15 | 3 | | 16 | 4 | | 17 | 4 | | 18 | 16 | | 19 | 4 | | 20 | 5 | | 21 | 8 | | 22 | 10 | | 23 | 13 | | 24 | 3 | | 25 | 5 | | 26 | 11 | | 27 | 7 | | 28 | 4 | | 29 | 10 | | 30 | 4 | | 31 | 4 | | 32 | 4 | | 33 | 3 | | 34 | 4 | | 35 | 4 | | 36 | 8 | | 37 | 5 | | 38 | 6 | | 39 | 8 | | 40 | 11 | | 41 | 8 | | 42 | 7 | | 43 | 5 | | 44 | 3 | | 45 | 5 | | 46 | 8 | | 47 | 4 | | 48 | 9 | | 49 | 5 |
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| 25.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 66 | | diversityRatio | 0.25957446808510637 | | totalSentences | 235 | | uniqueOpeners | 61 | |
| 45.66% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 219 | | matches | | 0 | "Still carried the old money" | | 1 | "Still looked at her like" | | 2 | "Then why show up now." |
| | ratio | 0.014 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 129 | | totalSentences | 219 | | matches | | 0 | "His ivory cane tapped once" | | 1 | "You locked yourself in." | | 2 | "She kept her shoulder pressed" | | 3 | "It clung to the damp" | | 4 | "I keep them locked." | | 5 | "You know that." | | 6 | "He shifted his weight." | | 7 | "His gaze tracked the crescent" | | 8 | "You left without a word." | | 9 | "I left because you told" | | 10 | "He stepped forward." | | 11 | "He didn’t look down." | | 12 | "You were standing in a" | | 13 | "I pulled you out." | | 14 | "You called it abandonment." | | 15 | "You called it strategy." | | 16 | "She didn’t lock it." | | 17 | "She let the frame rest" | | 18 | "She tossed her delivery bag" | | 19 | "She crossed her arms." |
| | ratio | 0.589 | |
| 35.34% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 186 | | totalSentences | 219 | | matches | | 0 | "The brass chain groaned off" | | 1 | "Rory pulled the door wide." | | 2 | "Lucien stood in the hall." | | 3 | "Charcoal wool draped his shoulders." | | 4 | "Platinum hair lay flat against" | | 5 | "His ivory cane tapped once" | | 6 | "The other swallowed the hallway" | | 7 | "You locked yourself in." | | 8 | "Rory didn’t step back." | | 9 | "She kept her shoulder pressed" | | 10 | "The scent of turmeric and" | | 11 | "It clung to the damp" | | 12 | "I keep them locked." | | 13 | "You know that." | | 14 | "He shifted his weight." | | 15 | "The cane stayed still." | | 16 | "His gaze tracked the crescent" | | 17 | "You left without a word." | | 18 | "I left because you told" | | 19 | "He stepped forward." |
| | ratio | 0.849 | |
| 45.66% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 219 | | matches | | 0 | "Because you looked at me" | | 1 | "Because you couldn’t stand in" |
| | ratio | 0.009 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |