Everything You Need to Know Before Building AI Agents
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AI agents differ from chatbots by autonomously controlling workflow through iterative problem-solving rather than single-shot responses. They consist of three core components: memory (short-term, long-term, and working), planning/reasoning (decomposing goals into subtasks), and tools (APIs and external integrations). Autonomy levels range from operator assistance to full independence, with Level 2-3 being optimal for most production systems. Common pitfalls include building agents for deterministic workflows, poor tool definitions, lack of evaluation frameworks, and missing observability. Most production agents struggle with quality issues, and the engineering challenge lies in moving from demo to reliable production system.
Table of contents
What Makes an Agent Different from a ChatbotThe Three Core Components of an AgentLevels of Autonomy: Not Every Agent Needs Full ControlWhat Goes Wrong: Pitfalls That Derail Agent ProjectsKey TakeawaysSort: