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6 design patterns used in AI agents. I've broken down each in simple steps. 1. 𝗦𝗲𝗾𝘂𝗲𝗻𝘁𝗶𝗮𝗹 (𝗕𝗹𝘂𝗲) • 𝗛𝗼𝘄 𝗶𝘁 𝘄𝗼𝗿𝗸𝘀: The query moves through agents one after the other. • 𝗘𝘅𝗮𝗺𝗽𝗹𝗲: You ask a question → First agent processes it → Passes to next agent → And so on until the final answer comes out. • 𝗨𝘀𝗲 𝗰𝗮𝘀𝗲: Email Drafting: Idea → Draft → Proofread → Format → Finalize. ________________________________________________ 2. 𝗣𝗮𝗿𝗮𝗹𝗹𝗲𝗹 (𝗢𝗿𝗮𝗻𝗴𝗲) • 𝗛𝗼𝘄 𝗶𝘁 𝘄𝗼𝗿𝗸𝘀: The query is divided into smaller parts and sent to different agents 𝗮𝘁 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲 𝘁𝗶𝗺𝗲. • 𝗘𝘅𝗮𝗺𝗽𝗹𝗲: You want information about a company → One agent searches the web, another checks a database → Both results are combined into one output. • 𝗨𝘀𝗲 𝗰𝗮𝘀𝗲: Fast research tasks. ________________________________________________ 3. 𝗥𝗼𝘂𝘁𝗲𝗿 (𝗚𝗿𝗲𝗲𝗻) • 𝗛𝗼𝘄 𝗶𝘁 𝘄𝗼𝗿𝗸𝘀: One main agent (the “router”) decides which specialized agent should handle the query. • 𝗘𝘅𝗮𝗺𝗽𝗹𝗲: You contact customer service → It sends general questions to a 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗔𝗴𝗲𝗻𝘁, billing issues to a 𝗕𝗶𝗹𝗹𝗶𝗻𝗴 𝗔𝗴𝗲𝗻𝘁, and tech problems to 𝗧𝗲𝗰𝗵 𝗦𝘂𝗽𝗽𝗼𝗿𝘁. • 𝗨𝘀𝗲 𝗰𝗮𝘀𝗲: Customer service systems. ________________________________________________ 4. 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 (𝗥𝗲𝗱) • 𝗛𝗼𝘄 𝗶𝘁 𝘄𝗼𝗿𝗸𝘀: Agents are connected in a network and can pass information back and forth, not just in one direction. A “Coordinator Agent” manages this process. • 𝗘𝘅𝗮𝗺𝗽𝗹𝗲: You ask for software → Builder Agent writes it → Reviewer Agent reviews it → Sends back corrections to Builder → Loop continues until output is correct. • 𝗨𝘀𝗲 𝗰𝗮𝘀𝗲: Complex problem-solving like debugging or simulations. ________________________________________________ 5. 𝗔𝘂𝘁𝗼 𝗕𝘂𝗶𝗹𝗱𝗲𝗿 (𝗣𝘂𝗿𝗽𝗹𝗲) • 𝗛𝗼𝘄 𝗶𝘁 𝘄𝗼𝗿𝗸𝘀: The query is split into tasks, and multiple agents (like coder, documenting, or test generator agents) work together to build something new. • 𝗘𝘅𝗮𝗺𝗽𝗹𝗲: You want a program → The “Coding Agent” writes it, the “Documentation Agent” explains it, and the “Generator” polishes the result. • 𝗨𝘀𝗲 𝗰𝗮𝘀𝗲: Writing software with explanations. ________________________________________________ 6. 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗔𝗴𝗲𝗻𝘁𝘀 (𝗬𝗲𝗹𝗹𝗼𝘄) • 𝗛𝗼𝘄 𝗶𝘁 𝘄𝗼𝗿𝗸𝘀: Agents can work 𝗶𝗻𝗱𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝘁𝗹𝘆 𝗮𝗻𝗱 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁 𝘄𝗶𝘁𝗵 𝗲𝗮𝗰𝗵 𝗼𝘁𝗵𝗲𝗿 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗰𝗼𝗻𝘀𝘁𝗮𝗻𝘁 𝘂𝘀𝗲𝗿 𝗶𝗻𝗽𝘂𝘁. • 𝗘𝘅𝗮𝗺𝗽𝗹𝗲: You ask two agents to plan a trip → Agent 1 books flights, Agent 2 books hotels → They coordinate on their own and return the full plan. • 𝗨𝘀𝗲 𝗰𝗮𝘀𝗲: Personal assistants that complete tasks automatically. ________________________________________________ These multiple agent design patterns offer flexible ways to build powerful AI systems, each suited for different types of tasks. ✅ Repost for others in your network who can benefit from this.