AI orchestration is the coordination of multiple AI agents so they work together toward a single goal — handing off tasks, sharing context, and combining their outputs into a coherent result. It's the difference between a drawer of disconnected AI tools and a system that runs like a team. For founders, orchestration is where individual agents turn into a working company.

An agentic workflow is a process where an AI agent completes a multi-step task by planning, acting, checking its own work, and adapting across several steps — rather than producing one output in a single pass. It's how an agent turns a goal into finished work. Here is what agentic workflows are, the patterns they use, and how they string tasks into real outcomes.

A multi-agent system is a setup where several AI agents, each with its own role, work together on a larger goal — dividing the labor, sharing context, and handing work to one another instead of one agent doing everything alone. It's how you build a team of AI rather than a single worker. Here is what multi-agent systems are, why teams of agents beat solo ones, and how they run a company.

Vibe coding is building software by describing what you want in plain language and letting an AI write the actual code. Instead of typing every line yourself, you steer the outcome and review the result. It's how a growing number of non-engineers now ship real products.

Agentic AI is AI that acts on its own to pursue a goal — planning, making decisions, and using software over multiple steps — instead of simply generating an answer when you prompt it. It marks the shift from AI as a tool you operate to AI as a teammate you delegate to. Here is what agentic AI means, how it works, and why it changes how companies get built.