Agentic AI
Beyond Chat: AI That Takes Action
Agentic AI is the shift from AI that answers questions to AI that completes tasks. Instead of asking ChatGPT to write an email and then copying it into Gmail, an agent writes the email, sends it, logs the interaction in your CRM, and schedules the follow-up. The difference is autonomy: agents plan multi-step workflows, use external tools, and iterate without waiting for human approval at every step.
This section covers the concepts and protocols that make agentic AI work, from the foundational idea of what an AI agent is to the emerging standards like MCP (Model Context Protocol) and A2A (Agent-to-Agent) that let agents connect to your existing tools and talk to each other.
Content for this section is being built. Check back soon.
← Back to AI ConceptsCommon Questions About Agentic AI
What is the difference between a chatbot and an AI agent?
What is MCP (Model Context Protocol)?
Is agentic AI ready for production use?
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