“So for Ask DoorDash, I would say to start with, maybe that's like the next couple months or so, I think it's making it easier for people to discover the experience and, like, figure out what to do. Because I think it can be intimidating if you just see, like, hey, like, there'...”

ConceptAgents

“What could my agent know about what I want to eat or what I want to, um, buy from a grocery perspective? Like, help me understand, like, how you think about richer context or how to be smarter there.”

ConceptAgents

“And so that was kind of like, I mean, it's something we talk about more later, but like kind of our like early experimentation with our CLI is like, that's kind of an example of like making it less friction for an agent to kind of, like, participate in that experience.”

ConceptAgents

“So I wasn't at all surprised about this in that way. Like, I didn't know that IBM would do this, but so it's something I've been thinking about quite a lot lately. And it's something that I know I've mentioned this to you. I'll mention it without any names. I'm in discussions ...”

ConceptAgents

“Yeah, I think that that also becomes, I mean, there's platforms like Unsloth and others that allow you to fine-tune even on your MacBook and run things a lot more efficiently. So I think that also gets to some of what This was the episode that I recorded when you were out on v...”

ConceptAgents

“it completely changes the value proposition for a lot of enterprise software out there because you suddenly have a new capability that in many cases can do things that traditional enterprise software just can't touch.”

ConceptAgents

“How do you think about building it with like working with a harness, right? So open code, Codex, you have your own pool CLI tool, basically getting people to use it, the co-design of model harness. Training it in?”

ConceptAgents

“It's perfect for agents because agents are now starting to take over more and more work in our model factory.”

ConceptAgents

“You're starting to kind of see these twinklings of what RSI is going to look like.”

ConceptAgents

“The robots have solved laundry!”

ConceptAgents

“if it can do that, It can do things like your taxes, or it could do things like all, you know, all sorts of complicated stuff. And then we have reached an insanely useful way that AI can help everybody.”

ConceptAgents

“with the era of agentic AI, now everybody can code”

ConceptAgents

“This is why we need academic training where you get into a field you know nothing about, and hopefully after you graduate, become the expert about this particular topic in the world. Right. This is why you have to go through different programs to talk to your peers, talk to yo...”

ConceptAgents

“And the rest of the thrust of Tariq's post is to point out that, in his words, planning ahead isn't enough. And instead that, in his words, working with Fable is an iterative process of discovering my unknowns before, during, and after implementation. So what are examples of t...”

ConceptAgents

“You don't know when the path will be filled with obstacles, and you don't know when the path will be clear, but you still want Claude to veer. Claude can help you discover your unknowns faster. The most important part, he says, is to give Claude context about your starting poi...”

ConceptAgents

“Other times I don't even know how to measure the thing I want, so I hand that problem to Fable too. Now Matt continues, once there's a bar, I put Fable on a loop against it and let it go. It builds, checks itself, finds the biggest gap, closes it, and goes again. Matt says tha...”

ConceptAgents