Your Agents Don't Deserve Your Trust. Here's How They Earn It.

About this session

The AI industry has decided agents are valuable. It hasn't decided to prove it. Your organization is running agents across frameworks, teams, and workflows — each one isolated, unobserved, and largely taken on faith. No shared context. No record of what they were given or what they handed off. No way to know if they're doing what you said they would. And somewhere in your stack, duplicates of the same agent running in parallel because nobody had visibility to know one already existed.Building on assumed value rather than verified performance is an unsustainable approach for any modern enterprise.At Flint AI by SandboxAQ, we believe trust is not a default setting for AI; it must be earned through consistent evals and verifiable outcomes. We developed Switch to bring this level of accountability to complex, multi-agent systems.Switch is a free, open-source collaboration layer that bridges the gap between isolated agents. By centralizing shared context and making handoffs observable, it provides a single place to monitor inputs, outputs, and active processes. This is what happens when you build on assumed value instead of earned proof. And it's not sustainable.In this session, we will explore the specific challenges Switch addresses.