What building Shippy taught us about building agents
Allen Institute (AI2) ● Covered by 2 sources
Ai2's Skylight team built Shippy, an AI agent for maritime domain awareness that makes high-stakes operational decisions based on real-time satellite and vessel data. The system uses a modular architecture with a versioned Docker image containing the agent's persona and skills, a deterministic CLI interface to the Skylight API to prevent subtle bugs, and Mothership, a Kubernetes-based hosting platform that isolates each user's session and data with dedicated pods. The team developed a custom evaluation framework scored by subject-matter experts against live data, and Shippy will expand to control Skylight's map interface, route queries to smaller models, and maintain cross-thread memory for persistent user context.
Why it matters
Building Shippy taught us that reliable agents depend less on the model itself than on deterministic tools, explicit guardrails, isolated infrastructure, and evaluations grounded in real-world workflows and live data.
