What matters more to me is whether the chatbot actually makes the team’s day easier. If it can handle the same questions people ask over and over, collect the right details, and only bring in a human when it really needs to, then that’s money well spent. Under $100, I’d rather pay for something that genuinely takes work off the team than a tool with a long feature list we barely use

I wiil probably still think in terms of a scraper first. Instead of building several separate agents, I’d want one system that can pull the right information from different places and then pass it into the right workflow. For example, the same scraper could collect competitor updates, product changes, support issues, or sales signals, while different agents handle what happens next. That feels cleaner to me because the data collection layer stays shared, while the actual decisions can still be specialized.

If I were building something today, I’d seriously consider an AI scraper that doesn’t just collect data, but actually makes sense of it. A lot of businesses still spend time checking websites, prices, job listings, product changes, or competitor updates manually. A scraper that could watch those sources, clean up the information, spot what changed, and only surface what actually matters could be really useful. That feels more practical to me than building another general AI assistant.

What I like about Backstage is that it could make managing an agent feel a lot less technical. Instead of digging through different pages every time something needs to change, you could just explain what you want, check the suggested update, and approve it. If that works reliably, I can see it becoming the easier way to handle day-to-day changes rather than constantly jumping back into settings.

Two things stand out to me here:

1. AI agents can make a team more resilient, not just more efficient. If someone is out, leaves the company, or forgets part of a process, the work doesn’t have to fall apart with them.
2. The bigger value might be reducing how dependent the business is on individual people remembering everything. That’s different from simple automation because it’s really about keeping the operation steady even when the team changes.

A more realistic change is that people are getting less patient with software that makes them do too much manual setup. If I can tell an AI what I’m trying to do and it handles most of the steps, then going back to clicking through several menus and repeating the same setup starts to feel like extra work. That doesn’t mean every SaaS product needs an AI agent, but it does mean users may start expecting software to be easier, faster, and more helpful than before.