| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.24 | | leniency | 0.48 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 585 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 57.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 585 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "echoed" | | 1 | "vibrated" | | 2 | "weight" | | 3 | "silence" | | 4 | "flickered" |
| |
| 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 | 92 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 92 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 111 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 12 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 585 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 37.76% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 490 | | uniqueNames | 7 | | maxNameDensity | 2.24 | | worstName | "Harlow" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Harlow" | | discoveredNames | | Quinn | 1 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | London | 1 | | Tomás | 7 | | Harlow | 11 |
| | persons | | 0 | "Quinn" | | 1 | "Herrera" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Tomás" | | 5 | "Harlow" |
| | places | | | globalScore | 0.378 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | 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 | 585 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 111 | | matches | (empty) | |
| 48.23% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 6 | | mean | 97.5 | | std | 31.08 | | cv | 0.319 | | sampleLengths | | |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 95 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 111 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 490 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 3 | | adverbRatio | 0.006122448979591836 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 111 | | echoCount | 0 | | echoWords | (empty) | |
| 85.13% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 111 | | mean | 5.27 | | std | 1.91 | | cv | 0.363 | | sampleLengths | | 0 | 5 | | 1 | 12 | | 2 | 4 | | 3 | 5 | | 4 | 8 | | 5 | 6 | | 6 | 7 | | 7 | 5 | | 8 | 8 | | 9 | 8 | | 10 | 7 | | 11 | 4 | | 12 | 7 | | 13 | 4 | | 14 | 7 | | 15 | 5 | | 16 | 3 | | 17 | 5 | | 18 | 8 | | 19 | 6 | | 20 | 4 | | 21 | 4 | | 22 | 4 | | 23 | 5 | | 24 | 3 | | 25 | 7 | | 26 | 4 | | 27 | 6 | | 28 | 6 | | 29 | 2 | | 30 | 3 | | 31 | 4 | | 32 | 5 | | 33 | 6 | | 34 | 7 | | 35 | 6 | | 36 | 7 | | 37 | 3 | | 38 | 5 | | 39 | 6 | | 40 | 7 | | 41 | 10 | | 42 | 10 | | 43 | 5 | | 44 | 6 | | 45 | 5 | | 46 | 6 | | 47 | 5 | | 48 | 9 | | 49 | 7 |
| |
| 40.09% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.26126126126126126 | | totalSentences | 111 | | uniqueOpeners | 29 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 88 | | matches | (empty) | | ratio | 0 | |
| 83.64% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 88 | | matches | | 0 | "Her boots splashed through puddles." | | 1 | "She held her coat close" | | 2 | "She caught the edge of" | | 3 | "She shook her head to" | | 4 | "Her jawline set tight under" | | 5 | "She checked her watch." | | 6 | "She ran toward the cut." | | 7 | "She hit the ground." | | 8 | "She stepped over the threshold." | | 9 | "It smelled of diesel and" | | 10 | "She pushed the heavy metal" | | 11 | "She pushed harder." | | 12 | "She walked down the staircase." | | 13 | "His warm brown eyes met" | | 14 | "He looked tired." | | 15 | "Her voice echoed in the" | | 16 | "He showed the medallion on" | | 17 | "She raised the gun." | | 18 | "Her finger stayed on the" | | 19 | "She stepped over the ladder." |
| | ratio | 0.341 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 88 | | matches | | 0 | "Rain lashed against the pavement." | | 1 | "The asphalt drank up the" | | 2 | "Harlow Quinn walked fast." | | 3 | "Her boots splashed through puddles." | | 4 | "She held her coat close" | | 5 | "Rainwater dripped from her jacket" | | 6 | "She caught the edge of" | | 7 | "The wind stung her eyes." | | 8 | "Salt and pepper hair fell" | | 9 | "She shook her head to" | | 10 | "Her jawline set tight under" | | 11 | "She checked her watch." | | 12 | "Leather strap felt tight against" | | 13 | "The second hand moved." | | 14 | "The tick tick sounded inside" | | 15 | "The signal was the phone." | | 16 | "She ran toward the cut." | | 17 | "The subway entrance sat beneath" | | 18 | "The metal door stood half" | | 19 | "The shadows pooled inside." |
| | ratio | 0.977 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 88 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 4 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.04 | | leniency | 0.08 | | rawRatio | 0 | | effectiveRatio | 0 | |