Howdy everyone, I've been an avid user of ChatGPT and Gemini for the past year, subscribing to the pro plans on both. They've been incredibly helpful for meeting my engineering and project management needs (lots of reports, proposals, prototyping, and image generation). However, I knew I was far from fully utilizing AI's potential for my work. After consuming a ton of Claude automation content over the past two weeks, I decided to take the plunge, grab a Claude Pro subscription, and dive into the world of AI OS and advanced workflows. I’m genuinely impressed by the pipelines and AI OS setups people are using to manage businesses, project logistics, and personal goals. Since I'm ready to commit and build out my own system, I’d love to get some insight from those who have been in this loop for a while: 1. 1. Efficiency vs. Friction: For those managing complex projects, does relying heavily on a unified "AI OS" system truly streamline your day-to-day, or do you find that maintaining, debugging, and updating the automations starts to feel like a second job? 2. 2. Future-Proofing: Given how fast the AI landscape shifts, how do you build your system so it doesn't break when a new model drops or a tool changes its API? How hard is it to stay committed to your setup without constantly feeling the need to tear it down and rebuild? Would love to hear your experiences, realities, and any pitfalls to avoid before I start building!