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MCPs are all the rage. The right implementation can make or break your agentic project, and there are quite a few things to consider under the hood. We’re breaking down how data is passed around from Business Agents to MCP servers, and all the client-side intricacies you need to be aware of when implementing MCPs.
Peek into the practical side of AI agent development. We cover key frameworks like LangGraph, essential protocols like the new MCP and A2A, and tips to help developers build effective AI agents.
Democratizing multi-agent systems by creating user-centric digital products around them requires an entirely new outlook on the development process. Find out how to tackle new challenges in frontend, backend, and UX/UI design!
How is AI transforming various sectors within finance, from banking and investment services to insurance and fintech? We’re highlighting both vertical and horizontal use cases.
Let’s examine top use cases for different industries for maximizing ROI, find intrinsic value of process automation across sectors, and paint a vision of the midterm future of AI progress.
Overview of AI agents and multi-agent systems, covering architectures, components, and best practices for building effective, transparent, and secure automated workflows.