Agent IA vs IA agentique
Two words that look alike, two different things. An AI agent is an autonomous program on ONE scoped task: it does its job without hand-holding, but always inside its domain, and its memory is optional. Agentic AI is several agents collaborating toward an open, multi-step goal: they learn from results, share an episodic memory of what just happened and a common context. The distinction is not about the underlying model, it is about autonomy and scope.
Strengths
- Gives a clean criterion to read a demo: one scoped task (agent) or a coordinated open goal (agentic)
- Separates autonomy (the agent decides within its domain) from scope (agentic pursues a goal that evolves)
- Avoids overpaying: many « agentic solutions » on sale are really one well-built agent
Limitations
- The boundary is blurry in marketing: both words get used interchangeably, it is on you to check under the hood
- Going agentic adds coordination and shared memory, so cost and failure points: not free
Best for
- PMs, POs and DS managers who must decide between « we need an agent » and « we need a coordinated system » before scoping a project
- Devs evaluating an AI building block who want to know if they are buying an autonomous task or a multi-agent orchestration