Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Lære Where AI Agents Are Going Next | Going Mobile and Beyond
AI Agents in Action

Where AI Agents Are Going Next

Stryg for at vise menuen

You are learning agents at a genuinely early moment. The tools you used in this course may look primitive in a year. That is not a criticism, it is just how fast this space is moving.

This chapter gives you an honest look at where things are heading, so you are not surprised when the tools change.

More Connectors, Less Friction

Right now, connecting an app sometimes means searching for an MCP server or waiting for a first-party connector.

That friction is shrinking quickly. More apps are adding native connectors, and the built-in catalogs are growing. Over time, the question "Is there a connector for this?" will more often be answered with yes.

The custom MCP route you learned in Section 3 will still matter, but you will need it less often.

Agents Getting More Autonomous

The biggest shift coming is event-driven autonomy.

Today, your agents usually run in three ways:

Run typeHow it works
On demandYou trigger the agent manually.
ScheduledThe agent runs at a set time.
DispatchYou trigger your desktop agent remotely from your phone.

The next frontier is agents that wake up on their own when something happens, such as:

  • An email arrives
  • A file changes
  • A metric crosses a threshold
  • A customer submits a form
  • A competitor updates a page

This already exists in some developer tools, and it is moving toward consumer tools like Cowork. When it becomes reliable, the set it and forget it promise becomes much more real.

Reliability Will Improve

Agents still make mistakes today. They can misread pages, confidently choose the wrong action, or hit tool limitations.

As models and tools improve, those failure rates should drop. The habit of watching the first few runs will always be smart, but over time, you should need less supervision for simple workflows.

The Human-in-the-Loop Stays

Even as agents become more autonomous, you should stay in the loop for anything important.

The pattern you used earlier still matters:

Recommend first. Ask for approval. Then execute.

That is not just a limitation of today's tools. It is good practice.

The best agent users are not the ones who hand over everything. They are the ones who know exactly what to delegate and what to keep under human control.

The Legal and Safety Landscape Is Still Forming

This space is still being defined. Companies are figuring out the rules for how agents should interact with websites, shopping flows, accounts, and user data.

Expect permissions, platform rules, and legal boundaries to keep changing.

The habits you built earlier still apply:

  • Review permissions carefully.
  • Keep sensitive actions on approval.
  • Revoke connectors you no longer use.
  • Avoid automating high-stakes decisions.
  • Stay aware of what your agent is allowed to do.

Being a thoughtful, permission-aware agent user keeps you safer as the space evolves.

What This Means for You

The specific buttons and menus will change. Tools will be renamed, merged, or replaced.

But the core skills you learned in this course will transfer:

  • Think in outcomes, not steps.
  • Write prompts with a goal, constraints, and a done condition.
  • Know what is green, yellow, and red to automate.
  • Build trust gradually.
  • Stay in the loop for important actions.
  • Separate recommend runs from execute runs.

You did not just learn one piece of software. You learned a way of thinking about agents.

question mark

Which core skill will still matter even as agent tools change?

Vælg det korrekte svar

Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 5. Kapitel 3

Spørg AI

expand

Spørg AI

ChatGPT

Spørg om hvad som helst eller prøv et af de foreslåede spørgsmål for at starte vores chat

Sektion 5. Kapitel 3
some-alt