Zeplin's Multi-Agent AI Framework for Design Review and Delivery
By
Pelin Kenez
Hard crust, hollow middle. Skim only.
Summary
Zeplin, a design delivery platform, has developed a multi-agent AI framework to provide accurate design reviews. Instead of using a single AI model, they employ over 10 specialized AI agents that work sequentially, starting with heuristic analysis of design data before processing through agents that check for accessibility, user flow mapping, and other specific tasks. The system aims to avoid AI hallucinations and deliver real value to designers and engineers.
Key quotes
· 5 pulledFrom an engineering perspective, building AI that avoids hallucinations and provides real value was our top priority.
Instead of relying on a single model, we developed a multi-agent framework.
When you request a review, our process kicks off by running a set of powerful heuristics to analyze the design data first.
This pre-processing step dramatically improves accuracy before the data is ever sent to our pipeline of over 10 specialized AI agents.
Each agent then takes over with a specific job - one checks for accessibility, another for user flows.
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