Andy Halliday

So that's my first tidbit of news.

Well, don't hesitate to mention that the principles for this are OpenAI, Anthropic, and Block, which is the creator of Square, right?

That's the public company name of the company that has Square, which is a payments platform.

but also is very AI forward.

I'm sorry to interrupt, but I wanted to make sure that those three players are the ones that are really kind of staked the flag here on the Agentic AI Foundation.

Okay, Andy, what do you got?

Well, I want to just add a few points about that one.

So the founding members of this Agentic AI Foundation have contributed these technologies as standardized platforms for that.

And MCP, we've heard a lot about, but I don't think we've heard much about Goose, which is what Block is delivering into this partnership.

And we haven't heard about agents.md.

So let me just give a little explainer about first what agents.md is.

So in GitHub, if you go to a code repository there, there's a read.md file.

And that's a standard.

Every single GitHub repo has read.md in it.

And that's like this guide to what's in this repository.

And as a standard, you should create a read.md file, readme.md file, I'm saying it wrong, so that when someone else comes along, they can read quickly about what's going on in that repository.

Well, agents.md is OpenAI's idea for a readme.md file for agents.

So an agent coming across a coding repository.

And remember, all of these standards and so on are really kind of being formed around the primary use case for agentic AI right now, which is coding.

but eventually it'll kind of branch out to all kinds of roaming agents out there on the interwebs, as we say.