Foundation · 5 lessons · all video · about 15 minutes
AI in practice
How to use AI tools safely and usefully in an architecture practice: where they help, how to prompt them, how to check what they produce and how to protect client data.
For: Practice directors, project architects and anyone in the office already trying AI tools
Most architects have tried an AI tool by now. Some use one every day for emails and meeting notes. Others tried it once, got a confident answer that was wrong, and gave up.
This course is for both. It is practical rather than technical. You will not need to know how the models work. You will need to know what they are good at, how to ask for what you want, and how to check what comes back.
We also cover the parts that matter most for a regulated profession: your professional responsibility for the work, your duties to clients, and what UK GDPR means when client data meets an AI tool. The last lesson ends with a short policy template you can adapt for your own practice.
Five lessons, about half an hour in total.
Lessons
- 01 What AI is good at, and what it isn'tA plain guide to the tasks in practice life where current AI tools help, and the ones where they will let you down. ▶ 2:51 · exerciseFree
- 02 Prompting wellHow to ask an AI tool for what you actually want, with worked examples from everyday practice life. ▶ 2:54 · exercise
- 03 Checking output: you are still the architectWhy the architect remains responsible for anything AI helps produce, how that links to professional standards, and a practical way to check output. ▶ 2:52 · exercise
- 04 Confidentiality, client data and UK GDPRWhat UK GDPR means when client information meets an AI tool, what not to paste into consumer tools, and how to tell clients. ▶ 2:57 · exercise
- 05 Writing a simple practice AI policyHow to agree a short, workable AI policy for your practice, with a one-page template you can adapt. ▶ 2:30 · exercise