Artificial intelligence and machine learning

"A couple of companies wanted me to pay $1,000/month for SaaS tools for my 17 user app. So I opened Claude Code. And anyway, I started vibing. Now I've got a project tracking tool, 2 CRMs (the first one leaked customer data), 16 analytics dashboards, a payroll system for me and my virtual assistant in the Philippines, and a customer support ticketing system. I haven't touched my actual product in six weeks. I've been building 231 internal features to run my business. But I'm not paying SaaS fees, just 4 additional Claude MAX subs to fix the bugs and make sure the apps are running. I don't have to touch it, I just pay it. You all think I'm a hero, and I accept that responsibility." - Frank (Maybe)
March 12, 2026

CFO: "What exactly is it that you do around here?" SaaS: “I turn your complex workflow into a managed service so you don't have to worry about compliance and maintenance; you can focus on your business problem.” CEO: "Well then, I just have to ask, why couldn't I just take our requirements directly to an AI agent, build a custom version for the price of an API call? SaaS: “Because when you find out that a custom app is a security nightmare, leaking customer data, the AI will just tell you, 'You're right! I apologize for the oversight!' I handle the 'unfun' maintenance and the 3 AM edge cases so you don't have to.” SaaS: “I have ‘accountability' skills! If I fuck up, you get to blame me. Can't you understand that?” What is wrong with you people?!?! Price is a major factor in the "build vs. buy" conversation, as is risk. AI agents are great at building features, but they are terrible at taking the blame. And yes, you can absolutely do a build-it-yourself if you have the right team. You just have to be aware that a $10,000/yr in savings now can become a $1,000,000 liability and 1,000 hours of debugging later. Well, is it time to rebrand SaaS as Scapegoat-as-a-Service? lol Anyway, time to rewatch Office Space this weekend.
March 2, 2026
One of the biggest shifts in building personal AI agents is the realization that the interface is becoming secondary to the data itself. Whether you’re interacting through a simple chat, SMS, a voice command while driving, or a complex, rich UI, the underlying intelligence and data remain constant. And more importantly, it has to be interactable with AI agents. The future isn't about building separate apps for different tasks; it’s about creating a unified data layer that seamlessly adapts to whatever experience the user needs in the moment.
February 23, 2026
This has been my personal tech stack when developing new projects.
January 8, 2026
You know what hasn't changed in the product-building process, even with AI? Talking to your potential users or customers. Having a prototype to show helps, but that shouldn't be a requirement to talk to users. You'll be surprised by how many assumptions you had get blown up in a 5-minute conversation.
December 31, 2025