AI Leaders Program - Cohort One
Beta Tester
FOUNDATIONS
AI leaders began with Foundations courses. They audited our tech stack, digital presence, and our identities. Each of these lessons provided clarity on how we are perceived and how to bridge the gap between what we show and how we want to be seen. The tech stack highlighted which technologies are currently used in your day-to-day life and where your expertise lies within those platforms. Below, you can see the "tech-stack" I created with the coach on Plato.
Foundations also provided insight into measuring personalized impact. I created a Google Sheet that measures four KPIs and includes a brief description of how I am going to utilize it. This example was based on a sample situation that could've occurred at my current job.
AI LEADERS
In the AI Leaders courses, we were given lessons designed to familiarize us with how to implement AI across a variety of workflows and scenarios. These scenarios included Agentic AI, human-in-the-loop, and ideation, to name a few.
This prompted me to think through and analyze how agentic AI can be implemented into my architecture studio workflow.
My analysis of agentic AI workflow — used to understand how to apply iterative constraints and material thinking to my design process.
I found Claude through my AI Leaders course, as many of my peers talked about it. Upon reading through their contributions, I learned that Claude is particularly good at assessing images. I currently struggle with iteration in my architectural studio process. What I mean is that I didn’t have a system that helped me gain clarity as I worked through these iterations. I would create 15 iterations, show them to my peers, and later have to figure out how to move forward. This process wasted a lot of time for me.
Integration: Now, I decided to create 3-5 different iterations, screenshot them, and upload them to Claude with a specific prompt to basically score based on my assignment, which iteration was strongest and made the most sense to move forward with. With Claude providing a scorecard tailored to the specific constraints of my assignment, I can move forward with an iteration and reach my final design with less friction.
Trend-monitoring: Moving forward, I will stay up to date with AI tools and techniques through the AI leaders Slack channel, a weekly newsletter that covers AI developments, and by staying in touch with industry professionals who are using this technology. I believe that getting information from peers and professionals makes it more digestible.
Example: I screenshotted three iterations I created in a past project involving Sears, Robuck & Co. houses. The assignment was to build one of the houses, just the framing, destroy it, and later reimagine it while taking the damage into consideration. The addition had to fix what was broken and could not exceed the original home’s size. I crafted a prompt that had Claude score each of my iterations against my assignment and the constraints.
Upon scoring my iterations, Claude helped narrow down the strongest iteration and provided evidence based on the provided constraints. Rather than asking my peers for feedback and creating unnecessary iterations, Claude helped me move forward with confidence.
WORDPRESS
The third set of courses had to do with getting used to WordPress, and creating our website to be used as the final portfolio.