Workflow automation is where agents stop being a demo and start doing the work. The value is rarely a single clever model call — it is a designed process: an agent that reads an input, takes several steps across real systems, hands off to a person when it should, and produces an outcome a team can rely on.
These posts focus on the engineering and design that make that dependable. They cover how to map an existing process before automating it, how to orchestrate multi-step tasks so failures are recoverable, and how to integrate agents into the tools and operations a team already runs.
Topics include process design and decomposition, agent orchestration patterns, multi-step task automation, error handling and retries, and fitting agents into existing workflows without forcing a rebuild. The thread is practical: good automation reshapes a process to match how work actually flows, rather than bolting an agent onto a broken one and hoping for the best.