This is the part of AI support that gets overlooked. A great demo doesn’t mean much if the bot starts giving wrong answers a few months later. I’d be more interested in the real numbers after deployment—ticket reduction, accuracy, and how much time the team spends maintaining it. That’s where the differences between these platforms… Read more

I think the biggest thing is that the “best” option really depends on what the business already uses. A tool can look great on paper, but if it’s difficult to connect with your existing setup, the experience changes quickly. I’d be interested to hear how these compare after a few months of actual use, not just during the initial setup.

I think it really comes down to the complexity of the product. One agent sounds simpler for the user, but specialized agents could handle specific tasks much better. I’d probably start with one strong agent and only split things up when there’s a clear reason to. No point building a whole team of agents before you actually need one.

I agree with this. Automation is great, but consistency can be even more valuable in the long run. Having a system that follows the same process every time and doesn’t depend on someone remembering to do it can make a big difference. Sometimes the real benefit only becomes obvious once the agent is actually being used in production.

I think the biggest shift is that we’re starting to expect software to actually help us get the job done, not just give us tools to do it ourselves. But like you said, once an AI starts acting more like a teammate, reliability becomes a much bigger deal. I’d rather have an agent that knows when to ask for help than one that confidently does… Read more

I’d focus less on building “another AI tool” and more on solving one specific problem really well. There are still so many everyday tasks that are repetitive and time-consuming. If AI can make one of those tasks significantly easier without adding more complexity, that’s where I’d start.

I haven’t used Backstage myself, but I like the idea. Managing AI agents can involve a lot of jumping between settings, analytics, and knowledge bases. If Backstage can simplify that while still keeping humans in control of changes, it could save a lot of time. I’d love to hear how well it works in real-world use.

I’ve noticed the same shift. What stands out to me is that bringing the knowledge base, actions, workflows, and human support into one place could make things much easier to manage as a team grows. The real test, though, is how well all those pieces work together in day-to-day support rather than just how many features the platform has. It’ll… Read more

I think launching without a waitlist can actually be a good thing, especially if the goal is to learn quickly. A waitlist might build anticipation, but real users will always reveal things you can’t predict beforehand. I’d probably launch early too, then use the feedback and usage data to improve the product and build the community along the way.