How To Scale A Business With AI & Agentic Workflows - Foundations

Shift from executing tasks to designing how work gets executed by a team of agents

Learn the mental models that apply to any agentic system you'll ever build

Understand where agents add value and where humans need to stay in the loop

Design the full information environment agents need to succeed

Build system instructions that control agent behavior, boundaries, and decision-making

Understand that agents are only as good as the context you design for them

Write PRDs and agent specifications that define what to build before you touch a tool

Map information flow between agents so nothing gets lost in handoffs

Set guardrails and constraints that make agents safe and predictable

Connect your agents to the right data so outputs are specific, relevant, and grounded

Learn RAG fundamentals: giving agents a "second brain" of business knowledge

Know what to include, what to exclude, and how to fill gaps

Build specialized agents that work together as a team, not just one assistant doing everything

Design router/orchestrator agents: the "boss" that delegates, routes, and decides when work is good enough

Structure handoffs so agents collaborate without losing context

Move beyond "does it work?" to "I can prove this works at scale" with evidence & documentation

Use evaluation data to make targeted improvements that compound over time

Build in checkpoints knowing where humans need to stay in control and where to let agents run