try custom output styles. it works a lot better. like a lot

what a slap in the face to “software is dead” some people may think “agents will handle the maintenance”, but are you sure it’s cheaper buying tokens for the agents than just buying the software? basic economics - if a piece of software takes $1m worth of tokens to make, one company can make it and sell to a million customers. with some profit margin baked in, each customer might get it at $5 if everyone makes the software by themselves, everyone will pay $1m of tokens each building the same thing over and over again. and for what? for a few vibe coders in the company to enjoy their five minute of fame and say “look! i can build jira”?

software is not dying. You're making too large of an assumption because you're in a bubble that reinforces the idea that people take initiative. Could I make a burger, buy all the supplies, stand there to cook it, season it, etc.? Yeah, I could. But you're in the mindset of making the burger. Most people just want to go buy a burger. They don't want to deal with the complications and time it takes to actually make one. Plus, realize this: Most people just need a solution. They don't want to maintain it or keep building the solution if that wasn't even their original goal. Keep making the burger. There will always be customers.

There’s still so much opportunity in the diffusion of AI into the real world. Most enterprises are going to need a ton of support to be able to apply the model breakthroughs to their workflows. Intelligence alone is not enough to transform most processes because you need to bridge that intelligence with real world feedback loops. That requires connecting to various enterprise systems, getting the right data to the AI, enabling humans to make decisions at different steps in a process through the right UX, having workflows that improve the underlying data and models over time, dealing with regulatory and compliance challenges, and more. The way you implement AI agents for doing client onboarding in a bank is entirely different from contract review in a legal team. In life sciences, financial services, legal, manufacturing, and many other critical industries, AI is only valuable if it makes contact with the real world in a contextual way. The way that interaction is going to happen is through an applied AI layer. Some of that will come from the labs directly, but lots of the opportunity will necessarily come from independent companies that can go deep in each industry. And counter to some beliefs, this need isn’t reduced even as AI model capability improves over time. In fact, the better the models get, the more ambitious you can be in the workflows you can automate, which generally requires even more of this applied layer. Tons of opportunity right now.