How to actually make money with AI agents like Hermes
The most important question about any AI agent setup isn't how it works — it's how you monetize it. Alex Finn's answer is straightforward: stop using agents just to play around and experiment, and start using them to solve other people's challenges. Finding real problems, finding genuine opportunities, and deploying agents to address them is how you create value — both for yourself and for the world. The demos and experiments are only worth something if they're pointed at a paying problem. That's the mindset shift that separates hobbyists from people who actually build income with these tools.
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Small businesses are deploying AI agents faster than 50,000-person companies ever could
In Hyper Agent's early adoption base, small shops have become surprisingly sophisticated very quickly and are running their operations in genuinely game-changing ways. The reason is simple: a 50,000-person company can't pivot on a dime — th
Hyper Agent targets both power users and casual users with the same product
The design philosophy behind Hyper Agent is to serve the full range of users — from power users who want granular control over how the agent is set up, so they can squeeze out maximum bleeding-edge performance, all the way to people who jus
Choosing an agent platform means choosing an ecosystem — pick deliberately
Greg Isenberg frames platform selection as an investment decision: when you pick a platform — whether it's OpenClaw, Hyper Agent, Codex, or something else — you are investing in an ecosystem. That framing matters because the switching costs