layerAI

I built this after seeing how quickly AI agents were being connected to tools and APIs without a clear permission checkpoint before execution. The problem I’m trying to address is simple: agents can act too freely — calling tools, modifying data, or accessing resources without a centralized decision layer. Teams often end up building ad-hoc safeguards that are inconsistent, expensive to maintain, and not their core focus. My approach was to design a system that sits outside the agent’s logic — a managed decision layer that evaluates intent before action, without executing anything itself. During development and launch, I focused on keeping integration minimal (SDK call), policies centrally managed, and privacy preserved by avoiding payload storage.