The 90‑Minute Monthly Check-In: A Sustainable Learning Rhythm

90-minute monthly check-in for a sustainable AI learning routine and professional development with AI How a simple 3-block 90-minute monthly check-in uses spaced repetition, agile retrospectives, and a personal knowledge management system to keep you up to date with AI Build a continuous learning routine that prevents burnout, upgrades at least one AI-powered workflow every month, and turns AI learning habits into lasting career leverage

What You'll Learn:

• Design a 90-minute monthly check-in structure that keeps you current on AI without daily overwhelm or burnout
• Use a simple three-block framework—scan, review, experiment—to turn AI news into practical improvements in your own workflows
• Apply spaced repetition for professionals so that AI concepts you learn monthly actually stick and compound over time
• Run a personal agile retrospective to diagnose which of your current processes are ripe for AI-powered upgrades
• Build or adapt a lightweight personal knowledge management system to capture, tag, and retrieve what you learn about AI
• Choose and scope one realistic AI micro-experiment each month so you actually implement, test, and refine new tools
• Translate insights from this episode into one concrete action this week, even if it’s a tiny first step
• Create a sustainable continuous learning routine that supports long-term professional development with AI instead of chasing every trend