The Block3AI DCA DeFi Agent is an advanced autonomous AI-driven investment protocol that leverages Distilled.AI’s framework and the Agents.Land launchpad to execute daily dollar-cost averaging (DCA) into Wrapped Bitcoin (WBTC) on Solana. This cutting-edge agent is designed to make automated, disciplined investing accessible and optimized for long-term growth.

🧠 How It Works

🔹 AI-Driven Execution – The Block3AI DCA Agent runs daily buy orders for WBTC on Solana, ensuring a steady accumulation of BTC-backed assets.

🔹 Three-Month Fund – The agent operates on a fixed 90-day cycle, systematically purchasing WBTC at set intervals to smooth out market volatility.

🔹 Decentralized Governance via DAO – At the end of each three-month cycle, $BLOCK token holders collectively vote on how to allocate the accumulated WBTC.

🔹 Built on Cutting-Edge AI & DeFi Infrastructure – Powered by Distilled.AI’s autonomous agent framework and Agents.Land’s Web3 launchpad, ensuring seamless, non-custodial operations.

🛠 Key Features & Benefits

✅ Consistent & Automated BTC Exposure – Removes emotional decision-making and ensures disciplined investing.

✅ AI-Enhanced Smart Execution – Optimizes entry points for DCA buys based on market conditions and liquidity levels.

✅ DAO-Governed Fund Distribution – The community of $BLOCK token holders will vote on how funds are allocated after the cycle.

✅ Built for Solana’s High-Speed, Low-Cost Ecosystem – Fast, efficient transactions without excessive gas fees.

📜 Governance & Utility – The $BLOCK Token

💠 Governance Power – Holders of $BLOCK tokens participate in DAO decision-making on how the WBTC fund is distributed post-cycle.

💠 Transparent & Community-Driven – The fund’s movements and decisions are fully traceable and managed by the community.

🔮 What’s Next?

🚀 The Block3AI DCA Agent will soon be launching its first 3-month cycle – be part of the next evolution in AI-powered DeFi investing!

Subscriptions are live and can be found at https://agents.land/trading/oraivYk1EdNUKzBJHBburcTZaCXFJ8ZQFS4PW57gMzK