Some time ago, I suddenly had an idea: could I turn the tedious on-chain data into stories that ordinary people can understand? The Web3 analyses I usually write always revolve around technical terms, and many friends say, 'I know it's useful, but I can't get through it.' But what if I use storytelling to let AI take the role of 'participants' on the chain? When this idea first came to me, I was puzzled—traditional AI can write stories but doesn't understand on-chain logic; it can look up data but can't bind the story to assets. Until I remembered Holoworld AI and decided to use it for an 'on-chain story creation experiment.'
The first step of the experiment is to train a dedicated "on-chain story steward" AI role in Holoworld's AI Studio. Instead of using the system's default model directly, I uploaded my own curated "on-chain case studies" compiled over six months: stories of ordinary people achieving returns through DeFi finance, NFT creators breaking into the community, and even my own notes on "on-chain data anomalies and market changes." Initially, the "story steward" could only awkwardly piece together cases, such as forcing DeFi logic into NFT stories, which was completely incoherent.
I didn't rush to give up; instead, I utilized AI Studio's "collaborative editing" feature and brought in two friends—one for story creation and one knowledgeable in on-chain technology. We divided the tasks: my friend was responsible for clarifying the story logic, transforming "on-chain events" into "character experiences"; the technical friend helped me optimize the AI's training parameters and introduced rules for "on-chain terminology colloquial transformation"; I supplemented with more real market details to keep the story grounded. About three days later, after communicating with the "story steward," it was able to narrate the story of "Little A issuing AI role NFTs through Holoworld AI, achieving returns with community support" smoothly, and it even asked, "Do you want to focus on the creation process or the profit distribution logic?"
After establishing the story framework, a new question arose: how to make readers not just "read the story" but also "participate in the story"? On traditional platforms, stories are simply "one-way outputs" where readers can only comment and cannot engage deeply. At this point, Holoworld's "Connector SDK protocol interface" was a great help—I used the interface to bind the "story steward" with the "digital asset module" in the ecosystem. If readers found a particular story segment interesting, they could directly have the "story steward" generate a corresponding "mini NFT," and they could also check real market trends through on-chain data in the story.
A reader, after finishing the "DeFi finance story," had the "story steward" generate a dedicated NFT and asked, "How do you operate similar finance in real life?" Surprisingly, the "story steward" not only provided the steps but also called on-chain data to recommend lower-risk projects—this was not a pre-set answer but was generated by combining real-time data with story logic. The reader later told me, "I didn't know that on-chain knowledge could be learned like this; it's much more interesting than reading analysis articles."
The final step of the experiment is to issue the entire "on-chain story collection" and the "story steward" AI role as digital assets through Holoworld's LaunchPad. I originally had low expectations, but unexpectedly, after the launch, many creators actively contacted me wanting to join the story creation, and some were willing to provide more on-chain case studies to help upgrade the "story steward." More surprisingly, a DAO community used this story collection as "entry material for newcomers" and distributed rights to all participants through smart contracts.
This experiment made me realize that what makes Holoworld AI special is not that it "can generate content," but that it transforms creation into a process that is "extensible, interactive, and co-constructed." I no longer have to worry about "no one watching the stories I write" because AI can connect me with those in need; I also don't fear "the results of my creation being stolen" because on-chain tracing can clarify rights; and I don't have to struggle with "how to monetize my creation" because digital assetization allows for the possibility of value circulation.
I used to think that creation was about "one person's persistence," but in Holoworld AI, creation has become "the excitement of a group of people"—human creators provide ideas and details, AI roles are responsible for implementation and interaction, and readers can also become participants. This feeling is like I just planted a seed, and Holoworld AI provided the soil, sunlight, and water, allowing it to grow into a tree that can shade everyone.
Perhaps this is the significance of Holoworld AI: it does not set a standard answer for creation but opens a door for us to see—that creation does not have to cater to algorithms, that AI does not have to be a cold tool, and that ordinary people can also build valuable small ecosystems in the Web3 world based on their ideas. And I will continue to carry the idea of "on-chain stories" and venture further into this ecosystem. @Holoworld AI
