‎I think knowledge base maintenance gets overlooked way too often. Getting the bot live is usually the easy part. Keeping the information updated as products, policies, and pricing change is where the real work starts.
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Voiceflow is really good if you enjoy designing conversations and having control over the flow. For a small business though, I think the learning curve can be a little higher than some of the other options here.
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The knowledge retention part is especially interesting. Teams lose a lot of useful knowledge when someone leaves or changes roles. Having an agent that can follow documented processes and retain the relevant context could make that transition much less painful.
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‎I still see AI as an add-on in some SaaS products, especially when it’s basically just a chatbot sitting on top of the existing features. The real change happens when the AI can actually perform actions and become part of the workflow.
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One thing I’d be watching closely is accuracy. Saving a few clicks is nice, but if I have to double check every change because I’m not sure the assistant understood what I asked, then some of that time saving disappears. The approval workflow helps, though.
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‎I can see specialized agents being especially useful when they have different permissions. A sales agent probably shouldn’t have the same access as an agent handling refunds or account changes. Separating those responsibilities could make the system safer too.
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I’d build for a very specific user rather than trying to make something everyone can use. If you can solve one person’s problem really well, you have a much clearer path to expanding later.

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Honestly, I’d probably focus less on the fastest channel and more on the channel that gives you useful feedback. The first 100 users are still helping you figure out who the product is really for, so getting them through direct conversations can be more valuable than just chasing a big signup number.

I think the handoff is probably one of the biggest things people overlook. I don’t mind an AI handling the simple stuff, but when a customer needs a real person, I want that person to have the full context without asking the customer to explain everything again. That alone can make a huge difference.

I think launching early makes more sense, especially if the product is already usable. For me, a waitlist only really helps if there’s already strong interest around the product. Otherwise, you might spend weeks collecting emails without really learning much. Real users will expose the problems much faster, and you can build the hype and community as you go.

I think the problem starts when you customise things just because you can. Some custom workflows are genuinely useful, but others become extra stuff the team has to babysit later. I’d rather start simple, see what users actually need, then add customisation where it solves a real problem. Makes the whole thing easier to manage as the product grows.

I can definitely see the appeal, especially when you’re dealing with a lot of channels at once. The part I’d be watching closely is consistency. Having one agent sounds great until it starts giving the same answer everywhere when the situation actually needs a different approach. I think the shared knowledge and context are useful, but there still needs to be enough flexibility per channel.

For me, it’s AI suggestions that feel forced. Sometimes I just want to get a simple task done, but the product keeps trying to help with things I didn’t ask for. Good AI should feel like a useful shortcut, not another part of the interface I have to manage.

I’ve had the same question about PocketBase. It feels really easy to get something working quickly, but I’d be more curious about the boring stuff after months in production backups, scaling, migrations, auth edge cases, and how much custom work starts piling up. Would love to hear from someone who’s actually taken a SaaS past the MVP stage with it.

I can see why this would be useful for Shopify stores. Most customer questions are pretty repetitive, so having an agent that can actually access the store data makes it more practical than a normal FAQ bot. I’d be interested in seeing how well it handles the less straightforward cases though, not just the easy order-status questions.