Introduction to AI agents

the make ai agents app is available on all plans using make's ai provider , with the option to use custom ai provider connections on paid plans the app is available in open beta , so both product functionality and pricing may change an ai agent is an autonomous system that acts to achieve its goals while following certain r ules think of it like a skilled assistant who performs tasks for you after understanding what you want to do {{product name}} ai agents consist of a few fundamental components that can be thought of as a brain (llm), instructions (system prompt), memory (context), tools (modules, scenarios and mcp tools), and thinking process (reasoning) a large language model (llm) acts as the agent's brain, powering its reasoning for decision making the system prompt instructs the agent on how to behave like a job description, it defines its role, limitations, and processes context , or files stored in the agent's long term memory, provides extra information that helps the agent tailor its responses to your needs for example, an internal knowledge base or company policies t ools provide the agent with the capabilities to achieve its goals in {{product name}} , those can include modules, {{scenario plural lowercase}} , and mcp tools reasoning is the agent's thought process when approaching its tasks when you use a reasoning model in an agent, docid\ mdyjgeeiirrxmd607v1xg is visible when the agent believes that deeper reasoning is required in the next section, you will explore these concepts in more detail the make ai agent's reasoning is transparent and easy to review however, llms are still evolving, which could impact agent outcomes always check outputs to ensure their accuracy and reliability