| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "He nodded slowly [slowly]" |
| | dialogueSentences | 58 | | tagDensity | 0.31 | | leniency | 0.621 | | rawRatio | 0.056 | | effectiveRatio | 0.034 | |
| 91.47% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1172 | | totalAiIsmAdverbs | 2 | | 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) | |
| 82.94% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1172 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "thundered" | | 1 | "weight" | | 2 | "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 | 0 | | narrationSentences | 57 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 57 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 54 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1172 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 603 | | uniqueNames | 12 | | maxNameDensity | 0.5 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 1 | | East | 1 | | End | 1 | | Eva | 2 | | Lucien | 3 | | Push | 1 | | Christmas | 1 | | Golden | 1 | | Empress | 1 | | Brick | 1 | | Lane | 1 | | Rory | 3 |
| | persons | | 0 | "Moreau" | | 1 | "Eva" | | 2 | "Lucien" | | 3 | "Rory" |
| | places | | 0 | "East" | | 1 | "End" | | 2 | "Brick" | | 3 | "Lane" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 39 | | 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 | 1172 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 20.93 | | std | 17.73 | | cv | 0.847 | | sampleLengths | | 0 | 32 | | 1 | 43 | | 2 | 28 | | 3 | 25 | | 4 | 26 | | 5 | 4 | | 6 | 2 | | 7 | 17 | | 8 | 34 | | 9 | 26 | | 10 | 3 | | 11 | 1 | | 12 | 3 | | 13 | 7 | | 14 | 17 | | 15 | 1 | | 16 | 1 | | 17 | 32 | | 18 | 7 | | 19 | 25 | | 20 | 60 | | 21 | 15 | | 22 | 25 | | 23 | 17 | | 24 | 20 | | 25 | 68 | | 26 | 12 | | 27 | 12 | | 28 | 9 | | 29 | 43 | | 30 | 5 | | 31 | 8 | | 32 | 25 | | 33 | 12 | | 34 | 1 | | 35 | 31 | | 36 | 4 | | 37 | 35 | | 38 | 11 | | 39 | 11 | | 40 | 68 | | 41 | 4 | | 42 | 5 | | 43 | 64 | | 44 | 23 | | 45 | 3 | | 46 | 2 | | 47 | 17 | | 48 | 30 | | 49 | 33 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 57 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 100 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 96 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 603 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 11 | | adverbRatio | 0.01824212271973466 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.003316749585406302 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 12.21 | | std | 10.59 | | cv | 0.868 | | sampleLengths | | 0 | 10 | | 1 | 22 | | 2 | 16 | | 3 | 12 | | 4 | 15 | | 5 | 6 | | 6 | 22 | | 7 | 7 | | 8 | 1 | | 9 | 9 | | 10 | 8 | | 11 | 22 | | 12 | 4 | | 13 | 4 | | 14 | 2 | | 15 | 10 | | 16 | 7 | | 17 | 34 | | 18 | 26 | | 19 | 3 | | 20 | 1 | | 21 | 3 | | 22 | 7 | | 23 | 8 | | 24 | 4 | | 25 | 5 | | 26 | 1 | | 27 | 1 | | 28 | 17 | | 29 | 15 | | 30 | 7 | | 31 | 6 | | 32 | 19 | | 33 | 52 | | 34 | 8 | | 35 | 15 | | 36 | 25 | | 37 | 3 | | 38 | 14 | | 39 | 13 | | 40 | 7 | | 41 | 21 | | 42 | 28 | | 43 | 19 | | 44 | 4 | | 45 | 8 | | 46 | 8 | | 47 | 2 | | 48 | 1 | | 49 | 1 |
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| 78.47% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4895833333333333 | | totalSentences | 96 | | uniqueOpeners | 47 | |
| 70.92% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 47 | | matches | | 0 | "Somewhere below a curry house" |
| | ratio | 0.021 | |
| 15.74% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 47 | | matches | | 0 | "He stepped back onto the" | | 1 | "She got the door shut" | | 2 | "He looked past her shoulder" | | 3 | "He didn't wipe it." | | 4 | "She pulled the door open" | | 5 | "Her jaw worked." | | 6 | "He said it flatly" | | 7 | "She watched his shape in" | | 8 | "He stepped inside, and she" | | 9 | "He crouched with a small" | | 10 | "She pulled the lid off" | | 11 | "He walked the length of" | | 12 | "He turned his back to" | | 13 | "He nodded slowly" | | 14 | "Her hand went to her" | | 15 | "He gestured at the flat" | | 16 | "She stood very still." | | 17 | "He walked the aisle between" | | 18 | "His voice came down half" | | 19 | "She crossed the floor and" |
| | ratio | 0.511 | |
| 2.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 47 | | matches | | 0 | "The third deadbolt stuck halfway," | | 1 | "Rory shouldered the door until" | | 2 | "Lucien Moreau, dressed as if" | | 3 | "Charcoal suit, no umbrella, platinum" | | 4 | "The ivory cane hung from" | | 5 | "Ptolemy beat her to a" | | 6 | "The tabby shot off the" | | 7 | "A hand on Lucien's chest" | | 8 | "He stepped back onto the" | | 9 | "She got the door shut" | | 10 | "Rory folded her arms across" | | 11 | "The corner of his mouth" | | 12 | "He looked past her shoulder" | | 13 | "Rainwater dripped from his hairline" | | 14 | "He didn't wipe it." | | 15 | "She pulled the door open" | | 16 | "The door came to a" | | 17 | "Lucien tilted his head, the" | | 18 | "Her jaw worked." | | 19 | "He said it flatly" |
| | ratio | 0.915 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 47 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 97.22% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 1 | | matches | | 0 | "He walked, and the floorboard complained under him, and he stopped at the low table and the cup of cold tea" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 58 | | tagDensity | 0.103 | | leniency | 0.207 | | rawRatio | 0.167 | | effectiveRatio | 0.034 | |