Last weekend, I spent an entire day immersed in Ava Studio. My initial intention was simply to verify how easy the claimed 'no-code generation agent' really is. As a result, in less than ten minutes, I generated a digital character with voice, memory, and emotional tags using natural language — it could even reference my uploaded daily photos in conversation. Once generated, the system automatically minted the NFT, and the on-chain rights confirmation process was completed with a single click, without any cumbersome signatures. I then listed the NFT on the Agent Market, and the platform immediately provided liquidity quotes, suggesting it could be synced to the upcoming HoloLaunch for crowdfunding issuance. The entire on-chain path was almost seamless, allowing me to truly feel the feasibility of the 'creation-rights confirmation-liquidity-financing' four-step closed loop for the first time.
During the experience, there are several details worth noting:
Compliance checks are embedded at the base level. When creating a character, the system automatically calls the KYC module to verify material copyrights, avoiding the 'copyright grey area' that NFTs often encounter.
Royalty distribution is written into the contract. Secondary transactions lock in 7% to flow back to the creator's address in advance, truly achieving sustained income.
The MCP interface is open. My agent can directly call on-chain price feeds; I simulated an 'automatic exchange rate reporting' task in the testnet—something that was difficult for Web2 AI to accomplish in on-chain interactions.
The corresponding token economic design is also demonstrating value in practice. Staking $HOLO
After that, I obtained priority access to the Launchpad whitelist and began accumulating Holo Points—these points can be directly exchanged for pre-sale quotas of popular agents in the future. Notably, the staking multiplier can reach up to 2 times, encouraging long-term locking and effectively alleviating the common selling pressure of new coins.
In the short term, the on-chain activity of #HoloworldAI is being boosted by a series of creator activities: the first batch of award-winning works for the 'Everyday Magic' competition co-hosted with Ava Studio has just been announced, leading to a surge in community meme production; at the same time, the official announcement states that the phased airdrop will prioritize users who stake. These measures not only stimulate content production but also redirect liquidity back to the token layer—one month after launch, the platform's daily trading volume remains around $25 million, far exceeding similar AI projects.
In the long term, the real highlight lies in the deep waters of assetization of agents. The current transactions in the Agent Market are mainly concentrated in entertainment and social roles, but HoloLaunch has already begun to introduce high-value scenarios such as education and financial consulting. Once a benchmark agent with a million monthly active users emerges, the closed loop built by @Holoworld AI will receive market-level validation, and the demand for $HOLO will also usher in its first true volume.
Based on my overall experience and data, my conclusion is: if you want to personally test 'AI + on-chain assets' without programming skills, then the toolchain provided by #Holoworld has reached a usable threshold; if you are an investor, you should closely watch the performance of the first batch of agents completed on Launchpad crowdfunding, as they will determine whether the ecosystem can break through the early homophily.