As I kept building, I started to notice a pattern: the real trouble in most systems wasn’t failure—it was silence. The places where nothing responded, where assumptions went unchecked, where the edges were ignored.
At their best, agents aren’t just tools—they’re adaptive and supportive teammates. And to get them there, you have to design for the kind of complexity most systems avoid. You have to think about learning differences. Silent constraints. Unexpected needs. You have to build for the edges.
That’s where I focus my work. I research and build multi-agent systems the way I once needed to be taught: With context. With flexibility. With logic that adjusts under pressure—not collapses. That’s usually where the opportunity lives.