Early testnet results suggest t3rn’s AIxecutors could transform crosschain execution, reducing complexity, improving speed, and opening new revenue paths for oncahin users. This case study explores how AI agents might enable profitable, automated bridging for non technical users.

When 185,480 wallets joined t3rn's testnet, we faced the challenge of protecting our community from Sybil attackers whilst not injecting unnecessary friction for our real users. Sybils use automated scripts to create fake wallets designed to farm tokens and siphon rewards away from our wonderful community..

Stage Two of the BRN to TRN airdrop process is now officially live. As of today, all t3rn testnet participants can access the t3rn Airdrop Checker to verify their airdrop status in real time.

t3rn will be launched with a fixed cap of 100,000,000 tokens (100%), TRN distribution is calibrated to fund development, ignite grassroots participation and reward the capital intensive work of Executors who keep cross chain flows running smoothly.

In 2020, I published the t3rn whitepaper, which outlined a simple but ambitious vision: to unify fragmented blockchains into one programmable network. That vision is more urgent than ever. Fragmentation is no longer just inconvenient, it’s one of the biggest roadblocks holding our entire industry back.

The combination of Model Context Protocol (MCP) and t3rn protocol creates powerful infrastructure for blockchain native AI agents. MCP serves as the universal communication standard for AI (similar to HTTP for the internet), while t3rn handles crosschain operations, transactions, and interoperability. Together, they allow AI agents to execute actions across multiple blockchains through specialized servers that abstract away the complexity of diverse blockchain APIs.