Yen Kha
Dali + MCP: Building Autonomous AI Agents You Can Trust
San Francisco, California, United States
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I am the Founder and CEO of GammaLex AI Inc and Co-Founder of Justice for All, both launched at Stanford Law School. At GammaLex, I build vertical AI solutions for complex, high-stakes domains—health and legal tech, sustainability, and engineering infrastructure by tackling tough challenges and delivering technology that benefits people and communities. Through J4All.org, we collaborate with Google Research to advance access to social justice by delivering tangible humanitarian impact.
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Secure MCP Agents in Practice: Lessons from Dali
AI agents are rapidly moving out of demos and into production. At higher levels of maturity, they are no longer simple assistants but systems trusted to run workflows, keep context over time, adapt when conditions change, and recover from failure. Once agents reach that point, the main challenge is no longer building them, but can we trust them to operate safely?
This talk shares lessons from building Dali, a DevOps agent that manages cloud agnostic infrastructure and deployment pipelines with limited human oversight. Using the Model Context Protocol (MCP), Dali connects language models to tools in an explicit, constrained, and auditable way. I will cover how we define what an agent can do, limit access, decide when humans must be involved, and handle failures and rollbacks.
The session shares lessons from operating autonomous systems in regulated environments, and shows how MCP patterns for access control, orchestration, and failure recovery are critical to ensure agents can operate reliably.
Yen Kha
Dali + MCP: Building Autonomous AI Agents You Can Trust
San Francisco, California, United States
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