I recently finished up an all day conference where I presented a comprehensive overview of my R&D projects for the first time. Getting up at 3:30am Alaska time to run an 8-hour zoom call was tough! But engagements like this are important to test out communicating the SARF model and raise interest in the overall trajectory of the vision to others.
One thing that is quite unique for this conference was developing all of the presentation content as an open-source project. I spend all day in my day job at Micron Technology utilizing bleeding edge AI techniques to accelerate and improve knowledge work. I utilized these techniques to develop the content for this conference in the same way that I develop software source code.
All content complete with citations and source material is available on GitHub here: https://github.com/patrickkidd/ffrn-2026
I developed all content as source code in markdown format using Claude Code. All AI contributions were made with my previous videos, articles, and app source code as context, plus a few new literature reviews on the state of the field of behavioral health. I used a sophisticated snapshotting system and context instructions for each presentation, so you can see how the content developed.
Learning these AI workflows is as valuable as the content of this presentation itself.
So please go check out this open source project. Hopefully it can help others work faster and with higher quality utilizing AI tools.