Agentic Framework
A system where AI agents work autonomously, breaking down complex tasks into steps and executing them with minimal human direction.
In Plain English
An agentic framework gives AI agents the ability to think ahead, make decisions, and take action on their own. Rather than responding to a single question, an agentic AI can plan a sequence of steps to accomplish a larger goal—similar to how a project manager might break down a big job into subtasks and assign them to team members. The agent can work with external tools, databases, and other systems, check its progress, and adjust its approach if something isn't working. This is especially useful for complex problems in science, finance, or business where the solution isn't just one answer but a series of coordinated actions.
💡Real-World Example
A chemical research lab uses an agentic framework where an AI system can automatically design experiments, retrieve information about chemical properties from databases, run simulations, and summarize findings—all without a scientist clicking through each step. The AI agent decides what to test next based on the results it's already gathered, much like an experienced lab technician would.
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