As developers, we pour weeks (sometimes months) into training AI models, writing smart contracts, or scaling apps. But there’s a question we rarely ask ourselves:
👉 How much of that code do we actually own?
Think about it:
- Your logic often runs on cloud platforms you don’t control.
- Your models live behind opaque APIs you can’t fully verify.
- Your execution depends on servers you don’t own.
At the end of the day, are we really creating assets — or just renting infrastructure?
Rethinking Ownership in AI & Web3
What if ownership meant more than just having source code in a repo?
What if your model, your logic, your app could:
✅ Have an on-chain identity (with transparent proof it’s yours).
✅ Run directly on decentralized compute, not on rented servers.
✅ Earn for itself (and you) every time it executes.
✅ Be licensed, sold, or traded like true IP.
That’s the vision we’re building at haveto.com, where developers can deploy AI models and functional logic directly on-chain, using the languages they already know (Python, Go, Rust, etc.), without having to rewrite everything in Solidity.
Why This Matters
This shifts AI from being “just code” to being:
- A revenue-generating asset
- Fully owned by its creator
- Transparent and verifiable (outputs you can trust)
It means developers and startups aren’t just pushing code anymore, they’re creating digital assets with real value.
Let’s Discuss
💭 If your AI models and logic could live fully on-chain, with proof of ownership and direct monetization, how would that change the way you build?
👇 Share your thoughts, I’d love to hear from the dev.to community.
🔗 haveto.com
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