Expanding Access to Computational Design: Integrating Agentic AI and Web3 to Advance Node-Based AEC Workflows

This contribution proposes a way to broaden access to computational design by combining: (1) an agentic workflow where AI micro-agents translate natural-language prompts into executable, self-verified parametric graphs; (2) a data-driven economy in which each reuse of logic triggers automatic micropayments; and (3) a decentralised network that stores versions, rights and transactions on-chain. Assessor, provider and validator agents assemble, check and publish sub-graphs serialised as semi-fungible tokens; a blockchain ledger tracks lineage and redistributes royalties. The platform merges open-source principles with Web3 incentives: newcomers gain ready-to-use solutions, experienced designers monetise know-how, and the community governs parameters via on-chain voting. Supported by robotic 3D-printing partners, the framework targets XR adoption: tokenised parametric graphs power virtual configurators for (1:1) design alternatives; users and curators vary parameters within constraints and record reuse on-chain, supporting an inclusive creator economy across the generative process.