Everything You Need to Know Before Building AI Agents

AI agents differ from chatbots by autonomously controlling workflows through iterative problem-solving rather than single responses, but this complexity increases costs and error rates. Every agent requires three core components: memory for storing information across sessions, planning capabilities to decompose goals into executable steps, and tools to interact with external systems like APIs and databases. Most production systems work best at intermediate autonomy levels where agents handle low-risk tasks independently but require human approval for critical decisions like financial transactions.