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

Design multi-layer prompt structures that control agent behavior, tone, and decision-making using proven prompt engineering patterns

Build and refine prompts using metaprompting techniques

Leverage RAG: connect a company's data to AI agents so outputs are specific, relevant, and contextually appropriate

Learn how to connect your assistant and agents to the right context for their purpose

Write effective system instructions that give agents clear roles, boundaries, and autonomy appropriate for their specific purpose

Only when you get consistent, quality, reliable results at scale do we graduate our assistants into agents and chain them together

Set parameters like temperature, shot prompts & other techniques to generate the results you intend

Understand how to control AI behavior across complex workflows, so your agents don’t just sound smart, they perform.

Implement scoring frameworks & benchmarks so you know whether your agents are actually meeting performance targets and business objectives

Use evals data to improve agent performance & scale workflows confidently knowing they'll maintain performance consistently

Chain multiple AI agents together to handle sequential workflows without manual handoffs or information loss between process steps

Design and agentic team that manage context switching between different agents & handle nuanced tasks