Armanas Povilionis

This talk argues that current AI agents, despite advancements in tool calling, often lack the ability to provide verifiable evidence for their actions. The core thesis is that agents need to generate "receipts" or verifiable outputs to build trust and enable effective debugging and auditing, rather than simply being able to call more tools. This shift is crucial for moving beyond basic automation to reliable and accountable AI systems.

This talk introduces Froglet, an open-source protocol and node designed for agent-to-agent computation. It addresses the limitations of traditional logs and API dashboards for agents operating across different hosts. Froglet aims to establish verifiable work as the foundation for agentic commerce, emphasizing the importance of receipts, identities, and workload hashes that persist across various models and marketplaces.