foogy

Web3 & AI

Tokenized products and agentic, on-chain experiments.

I’m Mihael Fugaj — a product designer working at the edge of on-chain and AI. The job here is almost always the same: take genuinely complex protocol mechanics — tokens, governance, autonomous agents, on-chain settlement — and hide them behind a product anyone can actually use. I do the concept, the design, and increasingly the on-chain integration myself.

  • 5+ on-chain tokenized and agentic products designed, from creator economies to NFT mechanics
  • Design → on-chain self-initiated builds where I own concept, design, and on-chain integration
  • Legible complexity making protocol mechanics readable is the core skill — and the hardest part

How I approach Web3 & AI

Hide the protocol, keep the trust.

Users care about the job, not the chain. The craft is hiding gas, settlement, and contract calls without hiding the one thing that earns trust: a verifiable record of what happened.

Goals over scripts.

For agentic products, framing autonomy around goals rather than scripted steps is more honest — and far harder to visualise. I take on that representational difficulty rather than fake a progress bar.

Legibility over completeness.

On-chain data is unforgiving and easy to dump in full. I design for the meaningful moments — value moved, outcomes, audit trail — so a human can actually read what the system did.

Selected work

Several of these are self-initiated experiments, not client work — that’s deliberate. For the product-management lens on shipping complex systems, see Product.

How I work

  1. 01 Discover Talk to users and the data; find where intent actually leaks.
  2. 02 Frame Write the problem, the bet, and how we'll know it worked.
  3. 03 Prioritize Sequence by impact-over-effort; protect the critical path.
  4. 04 Ship cross-functionally Design, eng, stakeholders moving as one; integrations included.
  5. 05 Measure & iterate Read the funnel, cut what doesn't move it, repeat.

More on this work

Tokenized products and agentic, on-chain experiments — wallets, on-chain identity, ERC-1155 mechanics, NFT collections, token economies, and autonomous agents running on-chain.

My north star is the same as everywhere else: lead with what the user is trying to do, then let the on-chain mechanics and AI carry their weight underneath.