ADVERSARIAL ASSISTANT
CODE WITH CLAUDE
DAY 19
Today's app was inspired by Nate B. Jones. He is a wealth of AI knowledge and I suggest anyone who is intersted in learning more about AI to follow him on Youtube and Substack. The prompts for how to work with your own AI are below and the build for the app is linked to the button called, "The Course". Thanks for the inspiration, Nate!
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Adversarial Assistant is a web-based gateway that connects individuals to Matlock, a specialized AI investigator trained to fight institutional information asymmetry through systematic investigation methodology. When facing medical billing violations, debt collection abuse, insurance denials, special education disputes, property tax overassessments, or funeral service violations, users select their domain and are guided through an informed consent process before connecting to Matlock—a custom GPT built on the proven 8-principle adversarial investigation framework.
Matlock methodically parses technical frameworks, cross-references authority sources, identifies categorical violations, calculates objective anchors, matches institutional register, and drafts professional dispute letters citing specific regulations (CMS guidelines, FDCPA sections, IDEA requirements, state insurance codes, assessment statutes, and FTC Funeral Rule provisions). Unlike generic AI assistants, Matlock has deep domain expertise across all six investigation areas through a comprehensive regulatory knowledge base, enabling him to transform confused consumers into informed advocates who can challenge institutional overreach with institutional-grade precision—collapsing investigation costs from thousands of dollars and weeks of research down to focused, rigorous conversations that produce actionable documentation.