AI and agentic AI: what changes when a tool can act?

Start with the job, not the label. Asking for a draft and allowing software to carry out a sequence of actions are different decisions.

Three ways to approach one task

For this beginner guide, think of AI as the broad category of software used for tasks such as recognizing patterns or generating content. Generative AI is the part that produces material such as text or images. Agentic systems add a way to choose and carry out steps using available tools.

Terminology varies. Anthropic distinguishes a predefined workflow from an agent whose model selects its process and tools dynamically. This is a useful architectural distinction, not a universal certification of autonomy. The reference was published on 19 December 2024; it explains the concept, rather than serving as a current tooling recommendation. Anthropic: Building effective agents (opens in new tab).

Consider a fictional workshop. A drafting assistant could turn supplied notes into an agenda. A fixed workflow could take that agenda through a preset formatting step and place it in a review queue. An agentic system might decide which permitted files to inspect, notice a missing detail, ask for clarification and revise its plan.

Ability and permission are separate

That last example still does not mean it should invite participants or book a venue. The task owner must specify which actions are allowed. A tool connection also needs suitable technical controls; a written instruction alone is not proof that restrictions are enforced.

When evaluating an assistant, ask what it can read, what it can change and where it stops for review. Look for evidence of completed actions, not just confident status messages. A draft invitation and a sent invitation have very different consequences.

Use your professional knowledge

You may already know where a workshop plan tends to fail: a vague agenda, an unconfirmed speaker or an unclear owner. Turn that experience into acceptance criteria. Decide what a useful output must include and which uncertainties it must preserve.

Wisomi’s Workspace is being developed separately and is not accessible on this website. This guide’s examples describe possibilities, not deployed Wisomi features.