The "new and exciting" way of interacting with Agents is the personal assistant method (from iMessage, WhatsApp, or whatever else) and this interest is taking the industry by storm. OpenAI "
As you begin to expland into various Agentic frameworks, there's a good chance you will end up choosing the one that exists within the cloud provider you're already using.
Quality output from an LLM is the make-or-break between a task that performs well and a hallucination. The level of accuracy that's output is top of mind for everyone using Agents.
Architecture diagrams always look something like this:
Agent -> Gateway -> LLM (or MCP Server).
The Agents that organizations are typically referring to are Agents that perform an action via prompts
AI traffic that goes through enterprise systems should include everything from servers, cloud environments, and even laptops, desktops, and mobile devices. This level of observability and security isn't "new"