4 articles
Agentic AI
Every article on agentic ai, newest first.
- Agentic AIModel Context Protocol (MCP) explained for business leadersThe Model Context Protocol (MCP) is an open standard, introduced by Anthropic in 2024, for connecting AI models to tools and data. Instead of a custom integration for every model and system, you expose a system once as an MCP server and any compatible AI application can use it. 2 min readRead
- Agentic AIAI agent vs chatbot: what is the difference?A chatbot answers questions; an AI agent completes tasks. An agent reads and updates your business systems, runs several steps in sequence, checks its own work and asks a person before risky actions. 2 min readRead
- Agentic AIMulti-agent systems: when one AI agent is not enoughA multi-agent system splits a large task across several specialised AI agents, usually coordinated by a supervisor agent that plans the work and checks results. It suits long, multi-step work; for simple tasks a single well-built agent is easier to run and debug. 2 min readRead
- Agentic AIVoice AI agents: how AI receptionists actually workA voice AI agent listens to a caller, turns speech into text, decides what to do with a language model, takes actions such as booking an appointment, and replies with a natural synthetic voice — all fast enough to feel like a conversation. 2 min readRead
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