In the years I’ve been hands-on in the crypto space, I’ve gotten used to first breaking down the permission model of automation tools, rather than just looking at the convenience on the surface. A while back, I used quite a few trading assistants, and during registration I always had to import a wallet, handing over control directly to a third party. In that kind of full-delegation model, when everything runs smoothly, no one mentions the risks; once the service has a problem, the boundary around assets becomes blurred in an instant, and I’ve personally learned a similar lesson the hard way. The root cause is that it bundles “executing tasks” and “holding assets” together, compressing the security boundary into a thin layer of an external service. @NewtonProtocol
Newton Protocol’s approach is to pull that boundary apart again. What the user defines is a ruleset; the Agent can only act within the prescribed scope, and any out-of-bounds instruction simply fails. This isn’t about sacrificing convenience, but about shifting trust away from reliance on the operator and toward a verifiable on-chain mechanism. As a developer, I think this direction will eventually become standard, and projects that move first are actually gaining an engineering head start. #Newt
From actual testing, the rules are not too costly to set up, the boundary definition is clear, and the mental burden is much lighter. NEWT mainly serves as the gas token and supports on-chain operations related to permissions; it hasn’t been packaged as a high-yield asset, and that restraint is actually quite rare.
Of course, potential risks still exist: network congestion may affect execution efficiency, and rule design also tests completeness. But overall, $NEWT its technical breakdown of pain points is pragmatic. Having taken losses before, I give cautious approval to this kind of careful progress, and it’s worth continuing to watch how it performs in practice. If it can maintain engineering consistency, it may become a reliable part of automated trading. $BTC
Newton Protocol’s approach is to pull that boundary apart again. What the user defines is a ruleset; the Agent can only act within the prescribed scope, and any out-of-bounds instruction simply fails. This isn’t about sacrificing convenience, but about shifting trust away from reliance on the operator and toward a verifiable on-chain mechanism. As a developer, I think this direction will eventually become standard, and projects that move first are actually gaining an engineering head start. #Newt
From actual testing, the rules are not too costly to set up, the boundary definition is clear, and the mental burden is much lighter. NEWT mainly serves as the gas token and supports on-chain operations related to permissions; it hasn’t been packaged as a high-yield asset, and that restraint is actually quite rare.
Of course, potential risks still exist: network congestion may affect execution efficiency, and rule design also tests completeness. But overall, $NEWT its technical breakdown of pain points is pragmatic. Having taken losses before, I give cautious approval to this kind of careful progress, and it’s worth continuing to watch how it performs in practice. If it can maintain engineering consistency, it may become a reliable part of automated trading. $BTC