Brittne Kakulla

Most people build their AI stack by collecting tools. This session shows a better way: build it by workflow stage. I'll walk through how I evaluate and adopt AI tools across the research process, from initial discovery to final activation, and share a scorecard you can use to test any tool against your own real work, not its marketing page. You'll leave with a repeatable method for deciding what earns a permanent spot in your stack and what gets cut. Key Takeaways:  1. A five-stage framework for mapping your research workflow, so you can see exactly where AI helps and where it doesn't. 2. A scorecard for testing any tool against your own real tasks, not its marketing claims, with a hard gate for privacy, security, bias, and human oversight. 3. A simple way to decide where to start first, so you build one solid habit instead of collecting tools you never use.