TL;DR: Drag-and-drop workflow builders were designed for deterministic automation, not AI agents. As agents become more capable, visual builders are getting squeezed from both ends: simple tasks no longer need them, and complex tasks break them. The future belongs to a new architecture built around Capabilities, Self-Learning, and Auto-Optimization.
Automation isn't new. For over a century, technological leaps have transformed how work gets done, particularly the repetitive and tedious parts no one enjoys. Today, AI accelerates this trend, automating the "not-so-fun" bits of jobs and internships that were once delegated to humans. Let's
Introduction AI-powered no-code automation platforms are revolutionizing how businesses design, build, and deploy workflows and applications without deep technical expertise. In 2025, platforms like Autessa and Lovable are driving the evolution of AI-powered no-code automation. While both leverage AI to simplify app and automation creation, they cater to different use
Photo by Unsplash Technology Changed. Software Buying Hasn't. Let's talk about why we started buying SaaS in the first place. Ten years ago, the choice was simple. You either paid a fortune for custom software development or you bought off-the-shelf tools and made them work. Custom
TL;DR: Drag-and-drop workflow builders were designed for deterministic automation, not AI agents. As agents become more capable, visual builders are getting squeezed from both ends: simple tasks no longer need them, and complex tasks break them. The future belongs to a new architecture built around Capabilities, Self-Learning, and Auto-Optimization.
"No, it can't get done. We need at least 6 months." If you've worked with automation or IT vendors, you've heard some version of this. The reason is almost always the same: their platform wasn't built for your problem. It