multi-stage orchestration

Evolve Your Recommendations: Real-World Insights on Adaptive Systems

Adaptive recommendation systems are rarely defeated by model architecture alone. Mallika Rao shows that real complexity emerges in production, where real-time feedback loops, retrieval freshness, and multi-stage orchestration must all bend to latency and cost constraints. This is practical insight, grounded in operational reality. For deeper context on how such systems are built, explore our piece on *Agent Harnesses* to see similar engineering discipline applied elsewhere. Rao's work is a reminder that evolution happens under pressure, not in isolation.