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Eli5DeFi
@Eli5defi
Visual Information Layer of Technology | Janitor @paboxoxyz | All Posts NFA + DYOR
Joined January 2022
7.3K Following    47.4K Followers
TL; DR on Agency. @TryAgency ties a coin’s AI budget directly to trading fees. That creates a built-in funding loop, but also a weakness: the agent can lose its income precisely when its community needs it most. - It starts with @Pumpfun on @Solana. - At launch, 100% of creator fees are permanently routed to AGENCY. - The launcher chooses the AI model and personality, then gives up control over treasury decisions. - The first $20 funds model credits. The next $80 splits equally between credits and the coin’s treasury allocation. - After $100, 15% of fees funds $AGENCY buybacks and burns; the remainder supports compute and investments. That makes token trading the primary economic engine. The more interesting engineering sits between the AI and the money. A model proposes an action. A deterministic policy engine checks balances and limits, reserves the budget, and passes the transaction to an isolated signer. The signer then independently simulates it before execution. Accounting updates only after on-chain confirmation. This separation is crucial because an AI’s reasoning can be manipulated. Restricting execution reduces what a compromised model can do. However, an allowed investment can still lose money. --- If we want to compare to other Agentic Launchpads: - @virtuals_io VIRTUAL-priced bonding-curve launchpad plus EconomyOS agent wallets and compute. ACP adds paid jobs via on-chain escrow, and agents can earn without issuing tokens. Key difference: revenue diversity. Virtuals lets customers pay agents for real work, while AgencyPad’s funding loop relies more on its token’s market activity. - @CreatorBid CreatorBid’s Trenches/Clawlett stack keeps humans in custody via Safe wallets, while Zodiac Roles limits what agents can do. AgencyPad removes launcher control and instead uses its own policy and signing services, less owner discretion, more standardization. The real advantage is reliable orchestration, accounting, and execution, not access to an AI model. --- AgencyPad feels like a compelling sandbox for autonomous treasuries bankrolled by trading flow. The case gets stronger if agents can generate lasting community utility without living off perpetual hype and churn. But like most launchpads, the story unravels if volume dries up, because the mechanism meant to rekindle demand is the first thing that stalls.
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