AI agents already perform tasks on their own
The new generation of AI doesn't just answer: it researches, compares prices, fills in spreadsheets and monitors pages for you. It's the hottest topic of 2026.
Ilustração: FayAI Studio
For years, using AI was a conversation: you ask, it answers, and you did the doing. In 2026, that changed. AI agents receive a goal — not a question — and work in steps until they deliver: they search, open pages, compare options, fill in documents and let you know when they're done.
The difference between a chatbot and an agent is the same as between a consultant and a dedicated intern. The consultant tells you how to do it; the intern DOES it, and comes back with the result for your approval. "Find the 3 best prices for this product and build a comparison table" is an agent's task. It browses, collects, organizes and delivers.
Examples that already work today: monitor the price of a flight and notify when it drops; read the emails of a support address and classify by urgency; check every day if a bidding page published a new notice; turn each new form submission into a task on your project board.
The ingredient that makes agents work well is the same as a good employee: clear instructions and defined boundaries. Agents need supervision — good systems ask for confirmation before important actions (buying, sending, deleting). Be wary of any promise of "100% automation without review": exceptions happen, and high-impact decisions remain yours.
To experiment without coding: tools like n8n and Make let you build your first visual agent by connecting blocks — form, AI, spreadsheet, email. It's literally dragging and connecting boxes.
At FayAI, the course Create Autonomous AI Agents (R$149) takes you from concept to production, and First Automations (R$29) is the perfect entry point for those who have never automated anything.
