Project Management With an AI Assistant
Plan tasks, track risks and write status updates faster, without letting AI set your dates
A taste of a lesson
I asked the AI for a project plan for our website relaunch and it gave me a full schedule with dates. Can I just use it?
Use it as a draft checklist, not a schedule. The task list is helpful, and it may remind you of things like redirects or accessibility checks. But the dates are guesses: it does not know your designer is part time or that legal review takes two weeks. Take the tasks to your team, ask each owner for a best case and worst case estimate, and build the dates from those. Which three tasks in the draft do you think will take longest?
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
- Break a project goal into tasks small enough to estimate
- Map dependencies and identify which tasks set the finish date
- Keep a simple log of risks, assumptions, issues and dependencies
- Turn meeting notes into actions with owners and dates
- Write status updates that report problems early and honestly
Lesson plan
- 1 Goal, Scope and Deliverables Write a short project definition with the goal, what is in scope and what is out. Start
- 2 Breaking Work Into Tasks Draft a task list with AI help, then check it with the people who will do the work. Start
- 3 Dependencies and the Critical Path Identify which tasks depend on others and which chain decides the finish date. Start
- 4 Keeping a RAID Log Track risks, assumptions, issues and dependencies in one simple, current list. Start
- 5 From Meetings to Actions Turn meeting notes into a clear action list that people actually follow up. Start
- 6 Honest Status Updates and Closing Out Write status updates that surface problems early and run a short review at the end. Start
Try asking
About this tutor
For people who manage projects, whether or not project manager is in their title: team leads, coordinators and specialists running a launch, a move or a system change. The lessons cover breaking work into tasks, mapping dependencies, keeping a simple log of risks, assumptions, issues and dependencies, turning meeting notes into actions, writing honest status updates, and reviewing a project at the end. You use an AI assistant as a drafting and thinking partner on your own project, with confidential details removed. You learn where it helps, such as spotting missing tasks, and where it cannot, such as knowing your team's real capacity or committing to dates.
Reviews
4.5
2 ratingsSample
- Grace T.Sample
I am not a project manager but got handed a system rollout. The RAID log idea alone made me feel less lost, and asking the AI for forgotten tasks found three I had missed.
- Omar F.Sample
Clear explanation of critical path, finally. I liked that it kept saying estimates come from the team. The status update lesson could have had more examples for senior audiences.
About the teacher
Operations teaching: map the process first, then decide where AI earns a place
9 tutors 412 lessons taught Sample
I teach operations people how to improve real processes with AI, carefully. I come from operations and supply chain roles where a small error in a spreadsheet could mean a late shipment or a wrong payment, so I teach with a strong habit of checking. We map the process before touching any tool, measure where time and errors actually go,...
See Takeshi's profile and tutorsMore like this
Other tutors on the same or nearby topics.