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Top AI agent developers, active now
An AI agent does more than answer a question. It works through a task in steps, using tools you give it: looking up an order, updating your CRM, booking a slot or raising an invoice. Done well, it takes whole chunks of routine work off your team.
Because agents act on real systems, the important skills are judgement and control. Hire someone who designs clear limits, asks a person to approve risky steps and keeps a log of every action.
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Questions
AI agents: common questions
What is the difference between an agent and a chatbot?
A chatbot replies. An agent can also act, calling your systems to look things up or make changes and deciding what to do next. That makes it more useful and also riskier, so it needs tighter permissions and testing.
Which tasks suit an agent?
Repetitive, rules-based work with a clear finish line: triaging support tickets, chasing missing paperwork, reconciling orders against invoices or preparing first drafts for a person to check. Tasks that need a lot of judgement or carry legal risk should keep a human in the loop.
How do I keep an agent safe?
Give it the narrowest access it needs, require approval for anything involving money, deletion or customer messages, and log every step. A good developer will test it against awkward cases before launch and give you a simple way to switch it off.
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