Prompting is not the finish line.
Agentic engineering is the discipline of designing instructions, tools, verification loops, and handoffs so AI agents can ship useful software and workflows.
You learn: how to define outcomes, scaffold context, direct agents through codebases, verify work, handle failures, and package proof.
Best path: Start with the Direct Call, then choose Builder for the full library or Operator for reviewed capstones.