I'll be honest, when I first heard "AI agents that can pay for things," my reaction was: who's making sure they don't go rogue with my money? That's what pulled me into Kite's whitepaper, "From Human-Centric to Agent-Native." The idea is simple but sharp. Payment systems and blockchains were built assuming a human is behind every transaction, someone who guards their keys and notices when something looks off. An agent making hundreds of small decisions a day breaks that assumption completely. What I like is how Kite answers it. Authority flows from you to your agent to a short-lived session, so an agent never touches your private keys directly. Spending limits are enforced by smart contracts rather than by hoping the agent behaves, and every authorization expires on its own. According to the docs, you can know your maximum exposure before you approve anything. On the payment side, fees are in stablecoins, so costs don't swing with a gas token, and state channels aim to make tiny pay-per-request payments cost a fraction of a cent. That's the kind of thing AI services actually need. It also works with open standards like MCP, A2A, OAuth 2.1, x402 and AP2, which tells me the team is thinking about adoption and not just a nice demo. Most projects in this space ask how fast an agent can pay. Kite asks how safely it can. For the agent economy to grow beyond demos, I think that second question is the one that matters, and it's why $KITE has my attention. Would you let an agent run on a budget you set, with a kill switch in your own hands? Curious where you'd draw the line. Not financial advice, just my take after reading the whitepaper and docs. #KiteBBW $KITE @KITE AI