Nice job! But here is my idea: why not build an agentic AI workflow that mimics the streamlined production methods of Ford in the early 20th century? We already have extremely powerful models and APIs, but we still tend to cram everything into one employee's workstation without giving out different tasks to different people.
Interestingly enough, this is how Hyper is structured under the hood. Rather than have one mega-agent whose job it is to go in and try to solve every problem simultaneously, we prefer a "production line" of narrowly scoped agents to make small decisions to keep the knowledge graph up to date. More broadly, agent orchestration is a problem tightly coupled to the "shared brain" problem. Definitely exploring what this means for Hyper as we grow.