After 5+ years of experimenting with AI, one of my clearest lessons is this:
The answer is probably not one giant assistant.
I know. It’s a bit tragic, but you’ve tried it, I’ve tried it, and it doesn’t really work.
Eventually this will improve. But as of this writing, whenever you try to make one AI do everything, it eventually becomes a very articulate junk drawer.
It can summarize. It can draft. It can analyze. It can plan. It can hallucinate a project management structure with great confidence and light jazz energy.
But the problem is not capability.
The problem is role clarity.
The more useful pattern is smaller:
- One AI function for intake
- One for summarizing
- One for comparison
- One for risk review
- One for drafting
- One for QA
- One for escalation
That sounds less exciting than “autonomous AI assistant.”
And yes, eventually you may put an AI one layer above those functions to orchestrate everything and give the appearance of one large autonomous agent. But under the hood, the system still needs smaller jobs with very clear responsibilities.
It is a simple lesson, but worth circling back to because everything original starts with origin:
AI gets more useful when it gets less vague.
The future is likely not one giant assistant. It is many customized small functions with well-defined jobs and defined outputs.
(Want to see what that looks like running a real household? Meet the Stable System.)
