Most people assume AI has a huge storage memory that keeps everything you tell it… But the reality is very different 👇 AI doesn’t “store” information like a phone or a database. It works through a temporary context window. Meaning: It only understands what is present in the current conversation Once the session ends, it doesn’t automatically retain all details Long-term memory only exists if an external system is built around it 📌 So AI is not a “storage system” It is a moment-to-moment reasoning system The key difference: Storage = permanent retention Context = temporary understanding based on what’s currently available 💡 This is why real AI systems don’t rely on AI alone— they combine external memory + rules + continuous context management Question for the community: Have you been treating AI as a “memory system” or a “context system”? 🤔 #AI Email Agent (9/20/24) @Nate Herk

That's the difference between saving time and building a growth engine. I've been thinking about AI less as a collection of tools and more as a network of decision systems. Instead of asking: "How can AI write this post?" I ask: "How can this system continuously discover opportunities, decide what matters, create value, measure outcomes, and improve itself?" That changes everything. A scalable AI marketing system isn't a chatbot. It's a loop. Observe → Prioritize → Create → Distribute → Measure → Learn → Repeat. Every interaction becomes data. Every campaign becomes training. Every customer question becomes market research. Every failure becomes a better decision next time. The goal isn't to automate people. The goal is to automate everything around people so human judgment becomes more valuable, not less. I believe the next generation of businesses won't compete on who has the best AI model. They'll compete on who has built the best decision loops around that model. Models will keep changing. Decision systems will keep compounding. That's where durable advantage comes from. What part of your business would benefit most from becoming a self-improving decision loop rather than another isolated AI workflow? @Nate Herk @Frank van Bokhorst

I am still struggling to understand the need of both an EA and a AIOS especially since a lot of the context are repeated. Can anyone give an actual example of when to use an EA and when to use the AIOS? Thanks in advance!

But the more I created content, the more I realized it’s actually a system of patterns. So I started breaking my process into steps instead of guessing: Idea → Hook → Structure → Rewrite → Publish It completely changed how I approach content creation. Curious—do you follow a structured process when writing, or is it more spontaneous for you?

Bigger context. Faster responses. More reasoning. I think they're looking in the wrong direction. The next competitive advantage won't be the AI you use. It will be the memory you build around it. Imagine two people using the exact same model. One starts every conversation from zero. The other has years of documented decisions, workflows, lessons learned, failed experiments, writing style, business rules, and personal frameworks. Same AI. Completely different results. We're moving from prompt engineering to memory engineering. The people who systematically capture and organize their thinking today may have an enormous advantage in a few years—not because the AI is smarter, but because it understands their way of thinking. Maybe the most valuable asset we're building isn't another prompt library. Maybe it's a second brain that grows with us. Question: If your AI could permanently remember only one thing about how you work, what would you want it to remember? #AI Email Agent (9/20/24) #RAG Chatbot AI Agent (9/22/24) @Nate Herk