Curated Tutorial path
Moving from LLMs to Agentic Workflows
A comprehensive 4-part series on architecting, building, scaling, and governing autonomous AI agents in production using frameworks like LangGraph.
Learning Path & Timeline
- Part 1•2026-05-09•Medium
Part 1: The Blueprint — Moving from LLMs to Agentic Workflows
The honeymoon phase with “Chat” is over. For the past two years, we’ve marveled at LLMs that can write poetry or summarize meeting notes. Bu...
- Part 2•2026-05-11•Medium
Part 2: The Hands-On Build — Orchestrating Agents with LangGraph
In Part 1 , we defined the “Agentic Mindset.” Now, it’s time to move into production. In this post, we will build a fully autonomous Securit...
- Part 3•2026-05-13•Medium
Part 3: The Scaling Problem — Economics, Model Routing, and Prompt Caching
In Parts 1 and 2 , we built an agent that can think and act. But in a production environment, an agent that “loops” is an agent that “spends...
- Part 4•2026-05-18•Medium
Part 4: The Final Frontier — Governance, Evals, and Human-in-the-Loop
In the previous parts, we built the brain, the hands, and optimized the engine for cost. But in an enterprise setting, “it usually works” is...