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…

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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…

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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…

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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…

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