Over the last few years, I’ve worked across multiple enterprise AI initiatives—data platforms, analytics modernization, GenAI pilots, and more recently, agentic AI systems. What I’ve consistently observed is this:the hardest part of agentic AI is not building the agent—it’s running it in production. Most teams today can spin up a…
Hands-on: Deploy Two Agents (Strands + LangGraph) on AgentCore from a Windows PC
In Part 1, I made the case that agentic AI breaks in production because agents behave like stateful distributed systems: sessions, credentials, scaling, tool access, and observability become the real work. For Part 2, I’m going to prove the point in the most practical way possible: I’ll deploy two agents…
🧠 AWS AI Architecture – Quick Bytes: Understanding AWS AgentCore
Understanding AWS AgentCore (Beyond Just “Deploying Agents”) Most enterprises don’t struggle with building AI agents.They struggle with operating them. Session state, identity, tool access, auditability, memory, governance, scaling, security…These are the reasons why most “agent POCs” never become production systems. This is exactly the problem AWS AgentCore was built to…
