ProteusAI Design Notes
Our design notes document the ideas, architectures, and strategies behind what we're building — sharing our thinking as we work toward truly intelligent, autonomous AI systems.
Latest Publications
Exploring a multi-layered memory architecture that enables AI agents to maintain context, learn from interactions, and build persistent understanding across sessions and domains.
Exploring why AI-generated code still faces a trust gap in enterprise settings, and how richer context, evolving system awareness, built-in verification, and reusable agent skills can close it.
Reimagining app templates as structured agent skills instead of boilerplate code — enabling AI to scaffold entire projects from procedural instructions rather than static starter repos.