Agentic-workflows

A practical framing for separating assistants, workflows, and agents based on control, execution latitude, and architecture.

A short post on reliability in agentic workflows: make mistakes visible, bounded, and recoverable instead of optimizing for intelligence theater.

Memory helps only after a workflow is clear and reliable. Otherwise it preserves inconsistency and makes a shaky AI system harder to understand.

Most AI workflows should start as clear, controlled workflows with tools and explicit state. Multi-agent structure only makes sense when specialization or parallelism truly helps.