How current agent architectures (tool use, multi-step reasoning, memory) are evolving into deployable systems rather than demos. How current agent architectures (tool use, multi-step reasoning, memory) are evolving into deployable systems rather than demos. Agent frameworks like OpenAI’s Evals, CrewAI, and LangGraph are changing the baseline for production AI — engineers need clarity on trade‑offs. Includes controls, pitfalls, and a phased implementation path. How current agent architectures (tool use, multi-step reasoning, memory) are evolving into deployable systems rather than demos. Why this matters Teams are under pressure to deliver AI capability quickly, but speed without control creates operational and governance risk. This guide focuses on practical execution patterns that hold up in production. Prerequisites Clear ownership for delivery and risk decisions. Baseline observability for model and tool behaviour. Defined quality and security acceptance criteri...
Practical AI engineering guidance on agents, MCP, frameworks, security, ethics, and AI in insurance — implementation-first, production-ready.