@ama_protocol
Great AMA! I really enjoyed learning more about the project and its vision. The answers were informative and gave a better understanding of what’s coming next. Looking forward to seeing the project grow!
@ama_protocol@GoKiteAI Great AMA! I really enjoyed learning more about the project and its vision. The answers were informative and gave a better understanding of what’s coming next. Looking forward to seeing the project grow!
@GoKiteAI essential reading for all interested in commercial Buyer/Seller agents.
Core truth from these insights is, prompting alone cannot protect you from structural info leakage.
Only native agent architecture can solve that.
This guides how Amadeus agents are built:
Models cannot disclose what they never see.
Strategy logic runs sealed in hardware enclaves so it never leaks internal reasoning, private prices or minimum terms.
Agents carry a Charter as operational document, not just a guideline. Owners define what agents do & how, what types of deals it can take, what terms it can agree to.
Agents connect to live data through Skills.
Decision-making attuned to real-time prices, portfolio positions, market data.
We built Amadeus as a confidential L1 for agentic finance, and AMA Hub is one of our flagship products built on top of it.
What we are most excited about is the idea that you can build an autonomous agent without having to expose the strategy that gives you an edge.