Building an AI agent with an actual brain inside Make.com is a real tutorial and the result is genuinely useful

Choosing an LLM as the agent's brain, defining a system prompt as the job description and rulebook, adding memory for context across interactions, and integrating tools for taking actions together create an autonomous agent within Make's visual workflow builder.

The practical significance: a Make scenario that runs the same sequence every time a trigger fires is predictable but inflexible. An AI agent in Make that evaluates each situation, decides the appropriate action from its available tools and executes it with persistent memory is adaptive automation rather than rigid automation.

The visual builder being the interface means the agent architecture is configurable without writing code. The LLM selection, system prompt editing and tool integration are all accessible through the same interface as any other Make scenario.

For Make power users: has building agents within Make changed the categories of workflow you automate or are you still primarily using it for standard trigger-action automations with AI steps added?