Only 20 seats available!
April 21st, 2026
🤖 AI Agents

How to Build Reliable AI Agents

From Simple LLM Interactions to Production-Ready AI Workflows

21st
April 2026
17:00–18:30
1.5 hours
20 seats
Limited
35
CHF
Your Instructor
Davy Engone
Davy Engone
AI Engineer and Founder at Hackagess

Davy helps developers build high-performance, maintainable applications. He has over a decade of experience as a software engineer, working with teams across the world to design and deliver modern software systems. For the past two years, he has been focused on AI-native applications, developing practical best practices for building reliable, production-ready AI agents.

LOCATION
Smallpdf AG, Zürich

About This Workshop

AI agents are easy to demo, but much harder to make reliable in real-world applications. In this hands-on workshop, Davy will walk participants through the core building blocks behind modern AI agent systems and explain how to design them in a more robust, predictable, and production-minded way.

The session will cover how agents use tools, how agent loops work, how to manage context effectively, and when to introduce human-in-the-loop approvals. Participants will also explore the practical challenges of reliability, evaluation, and system design as they move from simple LLM interactions to more capable AI workflows.

This workshop is designed for developers seeking a practical introduction to building AI agents that do more than just look impressive in a demo.

What You'll Cover

Eight key topics covering the full spectrum of building reliable AI agents.

What AI Agents Are

Understand what distinguishes AI agents from simple LLM applications and why that distinction matters.

Tool Calling

Learn how to connect agents to external systems and APIs through tool calling patterns.

Agent Loops

Understand how agent loops and task execution flows drive autonomous behaviour.

Context Management

Explore context and memory management strategies that keep agents on track across long tasks.

Human-in-the-Loop

Design safer systems using human-in-the-loop approval patterns at the right decision points.

Reliability Challenges

Identify and address the common reliability pitfalls when moving agents from demo to production.

Evaluation & Improvement

Learn how to evaluate agent behaviour and iterate toward more predictable, robust systems.

Production Design Patterns

Practical patterns for designing production-minded AI agents that do more than just look impressive in a demo.

Session Agenda

A focused 1.5-hour session moving from fundamentals to production patterns.

1

Introduction to AI Agents

15 minutes

Establish a shared understanding of what AI agents are and how they differ from simple LLM applications.

The spectrum from prompt to agent
Why reliability is hard
Overview of the session
2

Tool Calling & External Systems

20 minutes

Hands-on look at how agents call tools and connect to external APIs and data sources.

Defining and registering tools
Handling tool outputs and errors
Composing multiple tools
3

Agent Loops & Context Management

20 minutes

Explore how agent loops drive task execution and how to manage context effectively across turns.

Implementing a basic agent loop
Context window strategies
Memory and state patterns
4

Human-in-the-Loop & Reliability

20 minutes

Design patterns for safer agents and practical strategies for improving reliability in production.

Adding approval checkpoints
Handling agent failures gracefully
Common reliability pitfalls
5

Evaluation & Production Patterns

15 minutes

Round up with evaluation techniques and design patterns for taking agents to production.

Evaluating agent behaviour
Logging and observability for agents
Q&A with Davy

Who Should Attend

  • Software developers experimenting with LLMs
  • Technical leads looking to move toward agentic workflows
  • Builders who want to understand how modern AI agents work
  • Developers seeking practical, production-minded AI design patterns

Prerequisites

  • 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

What You'll Take Away

  • Understand the key building blocks of AI agents
  • Know how tool calling, loops, and context handling fit together
  • Recognise 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

Reserve Your Seat

20 spots available · April 21, 2026 · 17:00–18:30 · Smallpdf AG, Zürich

  • 1.5 hours of hands-on training
  • Workshop materials included
  • Practical design patterns for production AI agents
  • Networking with developers & builders

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Secure payment options. All prices include VAT.

Frequently Asked Questions

Ready to build agents that actually work in production?

Join Davy on April 21st and leave with a clear mental model for building reliable, production-ready AI agents.