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Lunch & Keynote Speaker
12:30 - 2:00pm
AI for people who design and Build
Christa Hill
Practical, demonstrated live, and built for a room that does not share a workflow.
The design problem in this session.
A contractor on a job site and a designer producing a specification package have almost nothing in common in how they would use these tools, and both will be sitting in the same room over lunch. A session pitched at either one loses the other. This one is built so both leave with something they can use, which is the reason for the demonstrations rather than slides.
What gets covered
Built to the brief: AI in design and construction, with the parts practitioners actually get wrong.
Learning outcomes, for CEU purposes
By the end of the session, attendees will be able to:
- Everyone leaves with an activity and a prompt they can run that night, on whatever tool they already have, free or paid. Digital takeaway materials are available by QR code in the room.
- The topic is tailored with Mitchell ahead of each event, so the Edmonton session can reflect what actually landed in Calgary six days earlier.
- Tools and methods that hold up in real work. Design, documentation and collaboration, shown live rather than described. No jargon, and nothing that assumes prior knowledge.
- On the workplace and on the job site. Two different problems. What works at a desk producing drawings is not what works with a phone in a hand at a site, and the room contains both.
- Intellectual property and privacy. Whose work is it when a tool helped make it, what leaves your organisation when you paste a client’s drawings into a chat window, and what a professional obligation looks like here.
- Iteration, and being wrong cheaply. Testing five approaches on a Tuesday for almost nothing instead of committing to one and finding out in eighteen months. Failure at a discount is the actual value, not speed.
- Review and correction as the professional standard. These tools are confidently wrong, and in regulated professions that is not a quirk, it is a liability. What a defensible review step looks like.
Learning outcomes, for CEU purposes
By the end of the session, attendees will be able to:
- Identify where AI tools fit in their own design, documentation or site workflow, and where they do not
- Describe the intellectual property and privacy risks of using AI tools with client and project information
- Apply a review and correction step appropriate to their professional obligations
- Run one practical technique on a live project the same week
Everyone leaves with an activity and a prompt they can run that night, on whatever tool they already have, free or paid. Digital takeaway materials are available by QR code in the room.
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Christa Hill
Founder and CEO of Tacit Edge, a Canadian AI education company building the judgment leaders need to adopt AI responsibly. Her curriculum runs through SAIT and Athabasca University, industry associations across Canada, and Fortune 500 upskilling platforms, and is licensed internationally to Learnit, the San Francisco training company that has upskilled more than two million professionals, where Christa is the AI education architect. She treats AI as a leadership discipline, not a technical one. Her position is simple: the leaders who understand AI will be the ones who shape it, and education is the safest first move.
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