Building effective AI agents
What separates an agent that impresses in a demo from one that holds up in reality? This workshop is about the structure behind it, not a specific product.
The structure behind an agent that holds up
We go beyond the hype and look at what an agent actually consists of. The model is just one part: you get a framework for designing, scoping and evaluating the whole.
- 01What an agent really isThe loop that separates an agent from a chatbot: plan, act, observe and iterate towards a goal.
- 02The agent harnessAn agent is model plus harness, and the structure around the model often matters more than the model choice.
- 03Tools and actionsHow the agent does things in the world: APIs, code and other agents it can delegate to.
- 04Context, memory and skillsWhat the agent needs to know, what it should remember, and how skills load knowledge only when it's needed.
- 05Scoping and controlBoundaries, permissions and when the human takes over.
- 06Evaluate and improveTests and evals: how to know the agent works beyond the demo.
Build agents that survive reality
It's easy to make an agent impress in a demo and hard to make it work in production. The difference is the structure around the model, not yet another clever prompt.
When an agent fails, it's rarely the model's fault: usually a tool, a rule or a boundary is missing. With the right framework you can design, scope and evaluate agents you can actually trust.
After the course you can
- Understand what an agent consists of beyond the model
- Design an agent with the right tools, context and skills
- Evaluate whether an agent actually works
Who the workshop suits
The workshop is for technical and product-adjacent roles who want to understand how effective agents are built, regardless of platform. It's vendor-neutral.
This workshop suits
- Developers and technical teams
- Product and solution owners
- Roles that commission or evaluate agents
Prerequisites
- Basic understanding of language models
- No specific platform required
FAQ about the workshop
No, it's deliberately vendor-neutral. The principles apply whether you build in Copilot Studio, with Claude or something else.
Yes. We cover how skills package knowledge that the agent loads only when the task calls for it, how MCP connects the agent to tools and data, and how agents can delegate to each other through standards like A2A.
It helps for the hands-on parts, but much of the value is in design and structure reasoning that suits non-developers too.
Very concrete. We work from real examples and you get a framework you can apply directly to your own ideas.
Both work equally well: we come to you or run it remotely. Since the workshop is hands-on, a group of 10–15 people is optimal.
Want to build agents that hold up?
Tell us what you want an agent to do, and we'll shape the workshop around your cases and your technical level.
Contact us