Projects and Memory: Organising Ongoing AI Work
Use project spaces and memory features to keep context across weeks, without stale or leaking information.
A taste of a lesson
My assistant keeps using last quarter's budget figure in new drafts. I corrected it twice in chat. Why does it keep coming back?
Most likely the old figure lives somewhere persistent: in a stored memory, in a project file, or in project instructions. Corrections in a single chat may not update those. Check three places: the memory list in your settings, the files attached to the project, and the project instructions. Update or delete the old figure where you find it, then start a fresh chat and ask for the budget figure to confirm. Where is the budget figure written down in your project right now?
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
- Organise ongoing work into separate projects with clear boundaries
- Write and maintain a short project brief that keeps context accurate
- Review, correct and delete what an assistant remembers
- Choose when to use memory, a project space or a clean chat
Lesson plan
- 1 Projects and memory explained Understand the two kinds of persistent context and how they differ. Start
- 2 Designing your structure Divide work into spaces that keep context relevant. Start
- 3 The project brief Maintain a single, current source of key facts for each project. Start
- 4 Reviewing what is remembered Keep memory accurate and appropriate. Start
- 5 When to start clean Recognise when persistent context does more harm than good. Start
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About this tutor
Many assistants now let you group chats, files and instructions into projects or workspaces, and some remember facts about you across conversations. Used well, these features save you from re-explaining everything. Used carelessly, they carry outdated facts into new work, mix unrelated clients, or keep personal details you forgot you shared. This tutor teaches how to organise ongoing work: one space per project or client, a short project brief, sensible instructions, reviewing and deleting memories, and knowing when to start clean. Feature names and controls vary by tool, so you learn principles and how to check your own settings.
Reviews
4.5
2 ratingsSample
- Hamid S.Sample
Found the old deadline hiding in a memory I had forgotten about. The review habit is now on my monthly checklist.
- Rosa M.Sample
Splitting my clients into separate projects with a brief each stopped details leaking between them. Very practical.
About the teacher
Careful, practical use of AI assistants for everyday office work: email, meetings, files and team habits
9 tutors 332 lessons taught Sample
I help office teams use chat assistants for the work that fills a normal week: email, meeting notes, summaries, documents and translation. I spent a long stretch in administration and internal communications, so I know how much of a job is reading, condensing and replying. My teaching is hands on and cautious in equal measure. We practise on realistic tasks,...
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