Applied Frontier #1: Loop Engineering | Frontier Labs

Frontier Labs #1: Loop Engineering Deep Dive Frontier Labs #1 is an intimate technical gathering for builders, researchers, founders, and engineers working at the edge of AI systems. This first session will focus on Loop Engineering , the design of self-directing AI systems that can plan, act, observe, evaluate, recover, and improve across repeated execution cycles. We are going beyond surface-level agent demos. This session is about the hard technical questions behind making agentic systems work in real environments: reliability, state, memory, evaluation, recovery, observability, and long-horizon execution. What We’ll Discuss Agent control loops and execution cycles Planning, replanning, and self-correction Tool use, memory, checkpoints, and handoffs Evals for long-running AI systems Failure recovery and human-in-the-loop design Observability, debugging, and tracing for agents The difference between a great demo and a system that survives real users Who This Is For This is designed for a limited group of deeply technical people who are actively building, researching, or seriously…