Tech talk series
AI tech talk series: Agent context layer
97% of enterprise leaders say context is critical to their AI strategy, but only 4% have built for it (Redis, State of context engineering 2026), and that gap is where most agent projects stall. The model works; it's the layer underneath, memory that resets, retrieval that slows at scale, stale state, and a climbing LLM bill, that doesn't.
This five-part series builds a context-aware app on Redis Iris in 15-minute sessions, adding memory, data integration, retrieval, and caching step by step. By the end, you'll have a working app and a practical understanding of how the context layer runs in production.
