Your first AI agent doesn’t need to do everything. It needs to do o…

Your first AI agent doesn’t need to do everything. It needs to do one useful thing well. 🙂 It’s easy to get caught up in the possibilities: connect more tools, add memory, bring in another agent, give it voice, give it vision…

Before you know it, your “small prototype” has access to six systems and you’re still figuring out what success looks like. Start with a simple question: 𝗪𝗵𝗼 𝗮𝗺 𝗜 𝗵𝗲𝗹𝗽𝗶𝗻𝗴, 𝗮𝗻𝗱 𝘄𝗵𝗮𝘁 𝘀𝗵𝗼𝘂𝗹𝗱 𝘁𝗵𝗶𝘀 𝗮𝗴𝗲𝗻𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗮𝗰𝗵𝗶𝗲𝘃𝗲?

Maybe it helps someone find an answer in internal documentation. Maybe it prepares a report for review. Pick a task with a clear outcome, then build around it.

I’ve put together this handwritten guide to make that journey easier to follow from defining the job and connecting tools to testing what happens when things go wrong.

A few things I’d keep close while building: 🔹 Give the agent clear inputs, expected outputs and boundaries. 🔹 Connect only the tools it needs, with limited permissions. 🔹 Add memory, retrieval or extra agents when the task calls for them. 🔹 Make it easy for a person to review sensitive actions. 🔹 Test confusing requests, tool failures and prompt injection alongside the happy path.

𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗯𝗲𝗹𝗼𝗻𝗴𝘀 𝗶𝗻 𝘁𝗵𝗼𝘀𝗲 𝗲𝗮𝗿𝗹𝘆 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀. What the agent can access, what it can change, and when it should ask for help all shape the system you eventually ship.

𝗔𝗻𝗱 𝘆𝗲𝘀, 𝗮𝗻 𝗮𝗴𝗲𝗻𝘁 𝘁𝗵𝗮𝘁 𝗽𝗮𝘂𝘀𝗲𝘀 𝘁𝗼 𝗮𝘀𝗸 𝗳𝗼𝗿 𝗮𝗽𝗽𝗿𝗼𝘃𝗮𝗹 𝗰𝗮𝗻 𝗯𝗲 𝗳𝗮𝗿 𝗺𝗼𝗿𝗲 𝘂𝘀𝗲𝗳𝘂𝗹 𝘁𝗵𝗮𝗻 𝗼𝗻𝗲 𝘁𝗵𝗮𝘁 𝗰𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝘁𝗹𝘆 𝗺𝗮𝗸𝗲𝘀 𝗮 𝗺𝗲𝘀𝘀.

What’s the first task you’d want your AI agent to handle?

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