Most products sold as "AI agents" in 2026 are still chatbots with extra steps like a single prompt in, a single answer out, no memory, and no real decision-making. Our new pocket guide, Overview of Agentic AI, cuts through that noise. It walks through how AI moved from answering questions to actually doing work: first tools gave models hands, then loops and memory gave them persistence, then goals let them take on real tasks instead of single instructions. The guide breaks down the six levels of agentic autonomy, shows where agents are already delivering measurable results in support, research, and operations, and lays out the risks and governance questions every leader should ask before adopting one.
The core idea running through the whole book: this is a software revolution, not a workforce replacement. The work changes, the drudgery gets automated, but the judgement, the escalation calls, and the relationships stay with people. A few takeaways from the guide:
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