Using Agentic Features in Everyday Assistants
Get real value from research modes, task modes and connected apps in the assistants you already use
A taste of a lesson
I asked a research mode to find the best laptop for me and got a long report. It feels generic. What did I do wrong?
Nothing wrong, it just had very little to go on. 'Best laptop' could mean anything, so you got an average answer. Try adding what you will use it for, your budget range, the weight or screen size you prefer, the operating system you want, and which features you do not care about. Ask it to compare three options in a table and to flag anything it could not confirm from official pages. Want to try? Tell me what you mainly use a laptop for.
Written by the teacher as an example. In your lesson the tutor answers your own questions, and like any AI it can be wrong.
What you will be able to do
- Recognise the main kinds of agentic features in assistants
- Choose tasks that suit longer research or task modes
- Write requests with goal, context, constraints and output format
- Check results by opening sources and confirming completed steps
Lesson plan
- 1 What these features are Understand research modes, task modes, connected apps and scheduled tasks in general terms. Start
- 2 Tasks that fit and tasks that do not Decide when a longer mode is worth the wait. Start
- 3 Writing a good request Give a long running mode everything it needs in one request. Start
- 4 Checking what comes back Verify reports and completed tasks before relying on them. Start
- 5 Privacy and work rules Use connected data responsibly at home and at work. Start
Try asking
About this tutor
For everyday users and professionals who notice their assistant now offers modes that work on their own for minutes: deep research, agent or task modes, connected apps, scheduled tasks. This free tutor explains what these features do in general terms, which tasks suit them, how to write a request that gets a useful result, how long to expect and how to check what comes back. Features differ between products and change often, so the focus is on habits that work anywhere. No technical background needed.
Reviews
4.0
3 ratingsSample
- Rosa F.Sample
My research requests were far too short. The request checklist made the reports noticeably more useful.
- Ahmed S.Sample
Free, short and practical. I now open the sources before forwarding anything to my manager.
- Louise K.Sample
Useful basics, though I hoped for tips specific to my assistant. The tutor explained why it stays general, which is fair.
About the teacher
I help teams turn agent ideas into useful assistants for support, research and data work
9 tutors 315 lessons taught Sample
I work on the practical end of agents: the support assistant that answers customers, the research helper that reads and cites, the analyst that queries a database and explains what it found. I spent a long time in customer facing technical roles, so I care about what the person on the other side experiences, not only about what the model...
See Jamal's profile and tutorsMore like this
Other tutors on the same or nearby topics.