I like creating complex solutions for simple problems just as much as every other engineer. That’s why I have dozens of side-projects going on where I’m trying out stuff. During my day job, I try to provide as much value to the customer/business with the most simple, most performant and cheapest solution I can think of.

That’s where Copilot Studio comes into play.
You’ve probably read a ton of posts and articles about bring-your-own-data, RAG, finetuning LLMs, etc. for the past couple of years. All great stuff and are great solutions for adding Generative AI to your solutions. However, most of the time this requires a lot of engineering effort, time, and adds quite a bit of overhead.

Copilot Studio provides you capabilities to build your own agents, integrate them within your own environment and make the created Copilots available to your organization or the public, all with only a couple of clicks inside the portal. It’s a low-code experience compared to working with Azure AI Studio, or making your own solution with Azure Open AI. A low-code solution comes with a ton of benefits, but is also limited in capabilities compared to the ‘pro-code’ solutions. It’s a trade-off.

To get the hang of Copilot Studio I’ve started to create my very own Knowledge Base for this blog, so I can ask it questions and answers come up based on the posts I’ve had in the past. Similar to using search, but better!