An evidence-minded course for organizing knowledge work, capturing meetings, testing research agents, and evaluating productivity assistants with bounded access.
Design research and productivity routines as auditable workflows. The lessons cover workspace permissions, meeting capture, scheduled research agents, product-signal collection, feature evaluation, agent security, and voice-assisted work. Rather than promising automatic accuracy, the course asks learners to define source boundaries, check outputs, protect sensitive information, and retain a manual fallback.
Design least-privilege assistant and meeting workflows with clear approval points. Evaluate research-agent reports for source quality, omissions, uncertainty, and drift. Create privacy and security controls for connected tools and scheduled tasks. Produce a small evidence-backed research or productivity artifact with a review trail.
Intermediate comfort with digital files, web research, and workflow mapping is recommended. No programming is required; use synthetic or consented data for experiments.
Learners with basic familiarity who are ready to build practical, independent skills
People who learn best through examples, guided lessons, and hands-on practice
Professionals, creators, and independent builders looking for a repeatable workflow
Lesson 1 is free
7 lessons · Intermediate · Full course.
This course uses CC BY licensed material attributed to its content provider or uploader. Lesson playback is available only through authenticated access after publication and licensing checks pass.