From Prompt to Process: Designing AI Workflows for NIH Knowledge Work
To Know
About this Class
Note: We highly recommend taking the Getting Started with AI Productivity Double Feature class prior to this.
If you have begun experimenting with AI tools to draft emails, summarize information, or brainstorm ideas, but are wondering where the big productivity gain are, this class is for you. The real productivity gains come when AI is used not just for single tasks but for structured workflows that guide complex work from start to finish. This class will show you how to design practical AI workflows for common NIH activities such as literature reviews, grant and application summaries, meeting-to-action tracking, portfolio analysis, and policy brief development. This fast-paced session will teach you how to break complex work into AI-assisted steps, build reusable prompts, create verification checkpoints, and ensure output remain accurate and responsible. By the end of the session, you will be able to transform AI from a helpful tool into a repeatable productivity system that supports research, program, and policy work at NIH.