Frameworks build the agent. Models power it. Neither one decides whether your agents survive contact with production.
Production infrastructure was built around determinism. Agents are built around probability. When we collapse reasoning and execution into the same layer, we get outages we can't reproduce and policy violations we can't explain.
Your agent-powered deployment pipeline approved a PR, merged it to main, triggered a rollout, and took down staging.
The most common failure mode I've seen is brutal in hindsight: months spent making the wrong thing better. Guild.ai CEO James Everingham shares five principles for finding product–market fit faster — from designing to 50% to debugging products into existence.
Most organizations have no idea how many AI agents are running, who owns them, what they can access, or what they cost. This guide covers agent sprawl, the four functions of a control plane, and the implementation framework for managing agents like production software.
