wenzel orlandevery foundation model is converging. GPT, claude, gemini, mistral. they're all getting better at the same things. reasoning, coding, analysis. the gap between them is shrinking every quarter.
so if the model isn't the moat, what is?
expertise. the accumulated taste, judgment, and decision-making that lives in people's heads. the thing a senior engineer knows about your codebase that no documentation captures. the way a founder evaluates deals after 15 years. the quality standard a creative director holds that makes work good vs great.
this expertise has always been the most valuable thing in any organization. but it's never been capturable. it lived in people, and when people left, it left with them.
that's changing. AI can finally learn expertise, store it, and apply it at scale. the key is memory.
most AI systems are stateless. every conversation starts from zero. they have no context about your domain, your preferences, your past decisions. they're smart, but they're strangers.
a system with persistent, structured memory is different. it remembers what happened (episodic). it understands what it means (narrative). it knows what to do next (strategic). three layers, each building on the last.
this is why we built doobls. a platform where human expertise becomes a persistent, scalable, ownable asset. you capture it once, and it compounds forever.
the companies that figure this out first will have an unfair advantage. their AI knows things that took decades to learn.