AIACI

What is an AI agent?

AI agents are systems that pursue a goal: they read context, choose actions, and use tools or workflows. Some agents run a short sequence. Others coordinate several steps, services, or parts under limits you set. Agentic setups sit on that same idea: more autonomy, still bounded. AIACI lists agent products next to the infrastructure used to build, deploy, monitor, and connect them.

What is an AI directory, and how does the paid board work?

An AI directory is a catalog of AI apps and AI tools with a page for each product. AIACI is that catalog plus a paid leaderboard. Rank is money paid, shown in public. It is not a review, a vote, or a quality score. You can see why one listing sits above another. Listing starts at a $5 bid. AIACI writes the page. The outbound link stays nofollow until the owner claims.

What is agentic AI, and how does it differ from AI agents?

Agentic AI is a design, not one product name. The system pursues a goal with some autonomy: it plans steps, picks tools, checks results, keeps context, and changes course. How much it can do without you varies. Look at approvals, permissions, logs, and what happens when it fails. An AI agent is one piece of software that reads context, decides, and acts toward a goal.

How do AI agents work? Examples, parts, and types?

AI agents work in a loop. They take a goal, gather context, choose an action, use a tool, and check the result. A language model may plan. Connected tools do the work: search data, call an API, edit software, or write code. Many agents repeat until they finish, hit a limit, error out, or wait for you.