What to Know Before You Start Using AI Agents
AI agents are not just fancier chatbots. They actually go off and do things: research, draft emails, browse websites, and hand tasks off to other agents. But before you pick one and sign up, a few things are worth understanding.Credits work differently than you expect. Most platforms charge per task, not per month. Vague prompts burn through credits fast. The more specific your instructions, the cheaper the run. Telling an agent to "search the internet for backlink opportunities" will cost more and return worse results than giving it a defined list of site categories to work from.
Your computer is not involved. Agents run in the cloud. They have their own browser, their own environment, and their own session. Nothing happens on your local machine.
Integrations can be fragile. Connecting an agent to outside apps through tools like Zapier or Make is possible, but these connections break. And when they do, the whole workflow stops until you fix it.
Agents can talk to each other. More advanced setups let you chain multiple agents together: one does the research, one writes the output, one sends it. These are called multi-agent systems and they are where things get genuinely powerful.
You choose how the agent gets started. This is called invocation. It could be a scheduled time, a Slack message, an email arriving, or just clicking run manually. Each workflow has its own trigger and its own prompt.
You can stay in control at key moments. HITL (Human in the Loop) just means building in a pause where you check the work before the agent moves on. A simple example: the agent saves a draft email instead of sending it automatically. You review it first. That pause is your HITL step.
You often get to pick the AI brain behind it. Most platforms let you choose which model powers your agent. Some run on Claude, some on GPT-4, and some let you mix models across different steps in the same workflow.
