The founder of mate3 networking bet on the exponential value of firsthand answers of a specific type. Those answers were about what happened in actual lived experiences. Then he bet on a specific type of answer set to be the best to get the most. It was named a "Mate3 Answer-Set" The set consisted of answers to 3 questions; what happened, what would you like to see happen and how do you think others can help. The next bet was on his ability to design and build a flow system that would serve connecting a specific set of formatted firsthand answers. Next, he opened the flow system which was named "Mate3 Networking" and it is continuing to grow. Mate3 networking is the connector of mate3 answer-sets, stakeholders, available rewards and certified productive options. Rick Robertson, the founder of mate3 networking, said that "AI is causing authorized firsthand answers to be more needed than ever." Today, it's not hard to remove the limits on AI-based outputs in advocacy. The issue of limited outputs from AI, and issues like blocked internet service must be planned. The best foundation for Recursive Self-Improvement in AI-based advocacy is to make it policy-based, transparent and simple. Rightly organized first-hand answers can serve multiple purposes for one price. The firsthand answers about lived experience can bypass the built-in filters of AI tools and agents. and smooth talk of LLM's. We know how to get the best advocacy, and it starts with clear definitions of what is a certified productive option. Better advocacy for the affected individual must include their pre-existing agreement to have communication. Don't watch the power of your voice float away, be prepared to resist and have advocacy assistance ready.
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