Context Engineering for Agentic AI
Five parts on the discipline that decides whether AI agents are useful and safe in a bank: what goes into an agent's context, where it comes from, who is allowed to see it, and how to prove it worked. 1 of 5 parts published, about 8 minutes.
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- 01From prompt engineering to context engineering
- 02Retrieval and memory: architecting what an agent knows
- 03Tools, MCP and permissions: giving agents safe hands
- 04Context for regulated data: entitlements, PII and lineage
- 05Observing and evaluating agent context in production