AI Agents Are Here. Decide the Job Before You Hire One.
In the span of about a week, OpenAI opened an agents platform to the public, Meta released an assistant that will book your travel and send your email, and the new top model shipped with computer use built in. The tools that do work for you, not just talk to you, have arrived. Most small business owners are about to hand them the wrong job.
An AI agent is different from a chatbot in one way that matters. A chatbot answers. An agent acts. It can open your files, use your software, run a multi-step task, and come back when it is done. That is a real change, and this week's news made it plain that it is no longer a demo. Here is the one thing to do before you let one anywhere near your business.
First, what actually happened, without the hype. TLDR reported that OpenAI's Agents API went into public beta, giving developers the same machinery that runs its coding agent: tools, memory, subagents, and the ability to keep a task running for days. The same newsletter covered Meta's Muse, a free assistant that can send email, make reservations, and buy things through WhatsApp. The Batch, which is the source I trust most, detailed GPT-6 Astra's built-in computer use, and its own tests show it now handles professional tasks inside real software better than anything before it. The Rundown even published a beginner's guide to setting up a recurring workflow in ChatGPT Work so it runs on a schedule without you.
So the capability is real. Which means the question has changed. It is no longer "can AI do this." For a lot of routine work, it can. The question is "what should it do," and that is a harder question than it sounds.
I spent twenty-six years as a Navy Master Training Specialist, and the first thing we did before building any training was a task analysis. Not the lesson. Not the slides. A plain list of what the job actually consists of, step by step, with the decisions marked. It is tedious and it is the most valuable hour in the whole process, because you cannot teach a job you have not broken down, and you cannot tell whether someone learned it if you never defined what doing it looks like.
Hiring an AI agent is the same problem wearing a new jacket. An agent is a new hire that works fast, never gets tired, and has no idea how your business runs. If you hand it a vague job, you get fast, tireless, confident work on the wrong thing.
So before you set one up, do the analysis. Pick one task you do every week. Write down every step. Mark the steps where you make a judgment call versus the steps you could do in your sleep. The sleep steps are the agent's job. The judgment steps are yours, at least for now, and the boundary between them is the actual design.
Then write the check. How will you know it did the job right? If you cannot describe what a correct result looks like in one or two sentences, you are not ready to delegate it, to a person or a machine. In my world we called that the performance standard, and no training ever shipped without one.
Notice what this does to the hype. The newsletters that sell you an agent want you excited about the tool. The work that pays off is the boring hour where you decide what the job is. That hour was the hard part before AI existed, and it is still the hard part. The agents just made it more expensive to skip.
One more thing from this week's reading. Anthropic published a report on the ways people tried to misuse its models over eight months. Fake accounts, surveillance systems, fraud at scale. The point for you is not fear. It is that a tool which can act on your behalf can be turned against you, so the agent that touches your email and your money needs the same rules a new employee would get. What it can access. What it cannot. Who approves the unusual request.
Decide the job, write the check, set the limits. That is the whole discipline, and it is older than the tools.
An AI agent is a fast new hire with no idea how your business works. Do the task analysis first. The boring hour of deciding what the job is was always the hard part, and it still is.
If you have the expertise and you are ready to turn it into something you can teach, The Foundation is our free starter course. It is at https://rhynowerks.ai