Working with AI agents can sometimes feel unpredictable. After using goose extensively for the last few months, I've compiled a few key tips that will help you get the most out of this tool. No matter your workflow, these guidelines will help you work more efficiently with goose.
It seems like yesterday when we all were wowed by generative AI and specifically the chat interfaces that made interacting with large language models (LLMs) accessible to everyday people.
As amazing as this was, it was only the beginning. The next wave of AI is agentic, meaning AI systems that don't just respond to prompts but take actions, make decisions, and interact with external systems. This is accomplished via AI agents.
Open standards are a critical ingredient for interoperable systems. They have enabled most of the technologies that we all rely on. The ability to connect to the internet no matter where we are relies on open standards such as Wi-Fi, TCP/IP and DNS. When you receive an email in your Gmail account from an Outlook sender, it's the use of open standards like SMTP, IMAP, and POP3 that makes this seamless. One of the most transformative technologies of our lifetime - the internet - enables anyone to have their web page accessible to the entire world thanks to the HTTP and HTML standards.
We're in the early days of a new era in tech, one where companies are innovating and building practical AI solutions for the masses. To ensure the longevity of this technology, open standards will be essential in guiding the development of AI tools so that the diverse systems built by various companies can work together seamlessly.