Our philosophy is built on time-tested principles from the software and AI industries. Here are a few of the foundational essays that shape our approach.
AI agents are autonomous systems designed to perceive their environment, make decisions, and take actions to achieve specific goals. By combining large language models with execution capabilities, they can automate complex workflows, transforming enterprise productivity by handling tasks once thought to require human intelligence.
Counterintuitively, automating a task can make the humans who perform it more valuable. As AI handles routine cases, the remaining exceptions become more complex, requiring a higher level of human judgment, problem-solving, and expertise to manage both the exceptions and the automated system itself.
There is no single development, in either technology or management technique, which by itself promises even one order-of-magnitude improvement in productivity. We must distinguish between 'essential' complexity (the problem itself) and 'accidental' complexity (the tools). The easy wins are over.