Why this site exists.
I am Sunil Ramlochan. PromptEngineering.org was always going to lead here. If prompt engineering is about shaping intelligence through language, context, and structure, then agent engineering is what comes next: building systems that can use that intelligence to reason, act, and operate in the world.
About Sunil
My work has been centered on making generative AI practical. PromptEngineering.org became the main place where I developed that thinking in public: treating prompt engineering as a real discipline, not a bag of tricks, and trying to make it concrete, teachable, and usable for people building real systems.
But serious prompt engineering does not stay confined to prompts for very long. If you keep following the work, you hit the next layer quickly: tools, memory, retrieval, control flow, permissions, state, evaluation, and multi-step execution. At that point, the problem has changed. You are no longer just shaping model behavior. You are designing agent systems.
Why AgentEngineering.org Exists
AgentEngineering.org is the natural progression of PromptEngineering.org. Over there, the focus is prompt engineering in the broad sense: how to work with models through prompts, context, examples, structure, and interaction design. Here, the focus is the only legitimate spinoff from that work: agent engineering.
I say "legitimate" deliberately. A lot of AI subfields are mostly relabeling exercises. Agent engineering is not. Once a system can pursue goals across steps, use tools, work inside constraints, and maintain state, the center of gravity moves from writing good prompts to designing good systems. That is a real shift in the work, and it deserves its own discipline.
That is why this publication exists. It is not a generic AI news site, and it is not a vendor mouthpiece. It exists to focus on the engineering reality of agents: what changes when models become components inside larger systems, how those systems should be structured, where they break, and how they should be evaluated, governed, and trusted.
What This Site Covers
The work here is focused on the practical side of agent systems: architecture, orchestration, memory, tool use, retrieval, workflow boundaries, evaluations, observability, reliability, and operational control. In short, this site covers the engineering layer that appears after the prompt and before the product can be trusted.
If this site is going to be useful, it should not behave like a generic AI news feed. It should read more like an operating manual for builders, operators, and technical decision-makers who are dealing with agent systems as real systems: architecture patterns and tradeoffs, context engineering and memory design, evals, reliability, and observability, deployment, cost, and AgentOps practice, teardown work that separates real systems from marketing theater, and playbooks teams can reuse.
The test I hold the writing to is whether it helps a reader answer concrete questions. Where should the reasoning live? Where should the control live? What should be remembered? What should be measured? What should be approved? What should never be delegated? That is the difference between AI commentary and agent engineering. One tracks the noise. The other helps teams build systems that survive contact with reality.
Who It Is For
This site is for builders, engineers, operators, founders, and serious practitioners who already know that prompts matter, but also know that prompts alone do not explain how modern AI systems are built. If PromptEngineering.org is where I focus on working with models well, AgentEngineering.org is where I focus on building with them properly.