AI trading agents. How to start?

Your AI agent can read markets, make decisions, and execute strategies. But to operate effectively, it also needs a money layer: a way to send, receive, and settle value quickly and reliably.

This firechat explores how digital cash can benefit your AI agent in practice, from lower transaction friction and faster settlement to better automation flows and machine-to-machine payments. With special guest Tobias Ruck from the eCash dev team, the discussion focuses on what makes an agent more useful, more autonomous, and better equipped to act in real-world financial environments.

What we cover:

• how digital cash can help your AI agent act faster and with less friction
• why low-cost, reliable settlement matters for automated systems
• what becomes possible when your agent can hold, send, and receive value
• which first use cases make the most sense for builders and end users

A practical conversation about how better money infrastructure can make AI agents more useful.