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1-Day Hands-On Workshop · Remote or On-site

How to Build Reliable AI Agents

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5.0
Trusted by 5000+ engineers

OVERVIEW

From impressive demos to production-minded agents

AI agents are easy to demo, but much harder to make reliable in real-world applications. In this hands-on workshop, Davy walks you through the core building blocks behind modern agent systems — tools, loops, context, human-in-the-loop — and how to design them to be more robust, predictable, and production-minded.

WORKSHOP CURRICULUM

Topics we cover together

We connect theory to practice: how agents use tools, how loops behave in the wild, how to manage context and memory, when to add human approvals, and how to think about evaluation and system design as you move beyond simple LLM calls.

WorkshopHands-on practice & coding
LectureConcepts & theory
Lecture
What AI agents are and how they differ from simple LLM applications
Workshop
Tool calling and connecting agents to external systems
Lecture
Agent loops and task execution flows
Lecture
Context management and memory considerations
Workshop
Human-in-the-loop patterns for safer systems
Lecture
Common reliability challenges when building AI agents
Workshop
Evaluating and improving agent behavior
Lecture
Practical design patterns for production-minded AI agents

OUTCOMES

By the end of the workshop

This workshop is for software developers, technical leads, and builders who want to understand how modern AI agents work and how to design them more reliably. It is especially relevant if you are already experimenting with LLMs and want to move toward more advanced, agentic workflows.

Understand the key building blocks of AI agents
Know how tool calling, loops, and context handling fit together
Recognize the main challenges involved in building reliable agents
Learn practical patterns for designing safer, more robust AI workflows
Leave with a clearer mental model for building production-ready AI agents

PREREQUISITES

What you should already be comfortable with

Comfortable with general software development concepts
Some familiarity with APIs and modern application development
Prior experience with LLMs or AI tooling is helpful, but not required

MEET YOUR INSTRUCTORS

Davy Engone

Davy Engone

Founder & Software Mentor @ Hackages

Davy helps teams ship software with confidence — including AI-assisted development and agentic systems. This workshop distills practical patterns for reliability, evaluation, and design that go beyond polished demos.

A DAY WITH HACKAGES

How we structure the day

Morning · 09:00–12:30

Agent foundations: tools, loops, and context — concepts, walkthroughs, and guided exercises

Afternoon · 13:30–17:00

Reliability in practice: human-in-the-loop, evaluation, and production-minded design patterns

FOCUS AREAS

What we emphasize technically

LLM

LLM APIs

How models are invoked in agent workflows, constraints, and failure modes you need to design for.

API

Tools & integrations

Patterns for calling external APIs, validating outputs, and keeping agents bounded and observable.

Eval

Evaluation & reliability

Practical approaches to measuring behavior, regressions, and when to add human oversight.

PRICING

Train your team today

The cost to train your team is a fraction of the cost to replace them.

€4,500/team

* excl VAT

What's included:

1 full day of hands-on learning
Delivered remotely or on-site
Interactive exercises and discussion
Tailored to your team’s context where relevant

* Up to 15 participants · pricing may vary by format and location

FAQ'S

if your question wasn't answered below

Chances are at this stage you have a couple questions. Here are a few questions that are often asked.

No. The workshop assumes solid general engineering skills and some API familiarity. We build intuition from first principles and focus on patterns that apply across stacks.