I Compared Several No-Code AI Agent Platforms. Here’s What I Kept Running Into.

Over the past few weeks, I've been researching no-code AI agent platforms and putting together a comparison of some of the biggest players in the space. What struck me wasn't how different they are. It was how similar they seem at first. Most promise the same things: AI agents, automation, integrations, and the ability to handle tasks with minimal human involvement. But once you get beyond the marketing, the differences become pretty obvious. A platform can look great in a demo and still be frustrating when you try to build something useful with it. I found that integrations matter more than feature counts. Reliability matters more than flashy capabilities. And once you move beyond experimenting and start using agents regularly, pricing becomes a much bigger consideration. Another thing I noticed is that the "best" platform often depends on the type of agent you're building. What's a good fit for a research assistant may not be the right choice for customer support or internal operations. After comparing the options, I came away thinking that we're still in the early stages of this market. There are some strong platforms out there, but none felt like an obvious choice for every use case. For those already building and deploying AI agents, what platform are you using today?