There are a lot of agent tutorials focused on frameworks, but I’m more interested in the fundamentals underneath them. A learning path I’m currently building looks like: What is an Agent → Agent Loop → Function Calling → State/Memory → Context Engineer…

A lot of AI-agent discussions focus on whether the agent completed the task. But I think there is a missing category: the agent may complete the task, but do it in an unsafe or policy-violating way. For example, an agent could finish the job but use th…