The interesting movement in AI right now is not another jump in model size. It is the layer sitting on top of foundation models, where multiple systems coordinate with each other instead of one model being asked to do everything by itself.
Google's May 2025 paper on AI agents confirms this shift, and it lines up with the work Web Experts started doing back in 2023. That is not a victory lap so much as a relief, because it means the approach was not a local quirk of how one Atlanta shop likes to build things.
Why Orchestration Beats One Model
A single model handed an entire business process will do impressive work most of the time and then quietly fall over in ways that are hard to predict. Orchestration splits the job across systems that each have a narrower responsibility, which makes failures easier to catch and easier to contain.
That is the practical case, and it is the one Web Experts cares most about. Reliability, scalability, and something you can actually hand to a client are downstream of architecture, not of picking the newest model release.
What We Built With It
Web Experts has had great success building AI-powered applications using this approach. One of those is an educational platform called Orton, built on coordinated systems rather than a single model doing all the lifting.
Projects like Orton are where the theory stops being theory. When multiple systems have to work together for real users, you find out quickly which parts of your architecture were wishful thinking.
The AGI Argument
A newer paper released in December, on distributional AGI safety, takes the idea one step further. It suggests that this coordinated, multi-system model may ultimately be how AGI emerges, which is a large claim and worth reading carefully rather than repeating as gospel.
Web Experts is more interested in the nearer-term implication. The same architecture people are now discussing as a possible path to AGI is the architecture that makes ordinary business AI products work today, and that is the part a company can act on this quarter.
Past Experimentation
Plenty of businesses have run AI pilots, gotten a demo that impressed a few people in a meeting, and then stalled when it came time to put the thing in front of customers. The gap is almost never enthusiasm; it is that a demo built on a single model call does not survive contact with production.
If you are looking to integrate AI into your business or build AI-powered applications that move beyond experimentation, this is exactly the kind of system Web Experts helps companies implement. It is less glamorous than the headlines and considerably more useful.