This is spot on. It’s rarely one big blocker. It’s the accumulation of small “just one more thing” decisions that quietly push timelines. In hindsight, most teams realize that shipping earlier and learning from real users would have been more valuable than perfecting features nobody had validated yet.

Getting started is one thing, but long-term reliability and maintenance are where self-hosting truly gets tested. The real questions are always about what happens after the initial deployment excitement fades upgrades, stability, and whether the cost savings actually hold up.

This pattern is hard to ignore. Most AI agents are being layered on top of existing workflows rather than genuinely replacing them, which just adds complexity for users. The real test is whether teams see measurable improvement in production, not just a new feature to market.

This is a really honest take. Feature comparisons only go so far. what actually matters shows up months after launch. The operational questions you listed are the ones vendors rarely address upfront. Real user experience always tells a different story than marketing pages.