Traditional AI—what most businesses use today—is reactive. It waits for a prompt. You give it data, it gives you a result. Think of chatbots, search engines, or recommendation systems.
Agentic AI, by contrast, is goal-driven and autonomous.
Agentic systems;
Interpret high-level objectives,
Break them down into actionable steps,
Execute those steps using tools, APIs, or other systems,
Adapt along the way if they encounter obstacles.
This means you’re not just telling software what to do—...
Traditional AI—what most businesses use today—is reactive. It waits for a prompt. You give it data, it gives you a result. Think of chatbots, search engines, or recommendation systems.
Agentic AI, by contrast, is goal-driven and autonomous.
Agentic systems;
Interpret high-level objectives,
- Break them down into actionable steps,
- Execute those steps using tools, APIs, or other systems,
- Adapt along the way if they encounter obstacles.
This means you’re not just telling software what to do—you’re telling it what you want, and it figures out the how.
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