Build an AI Agent Workshop: Safety-First Design
By Dorian Laurenceau
📅 Last reviewed: April 24, 2026. Updated with April 2026 findings and community feedback.
Build an AI Agent: Safety-First Workshop
An AI agent without safety guardrails is a liability. In this workshop, you will build a complete agent system, not just the reasoning loop, but the safety infrastructure that makes it production-worthy: tool whitelisting, human confirmation, cost controls, and output validation.
Workshop Goal
By the end, you will have built an agent that:
- →Takes a user question and plans a series of actions
- →Uses 3 tools: web search, calculator, and document lookup
- →Requires human confirmation for any action that modifies data
- →Stops after 7 iterations or $0.50 in API costs
- →Validates its final answer against observed evidence
Step 1: Define the Agent Architecture
Step 2: Implement Safety Layers
Step 3: Testing Your Agent
Common Agent Anti-Patterns
Test Your Understanding
What's Next
You have built an AI agent with proper safety guardrails. In the next module, you will explore AI image generation, understanding diffusion models and learning to prompt for visual content.
Continue to AI Image Generation and Diffusion Models to enter the world of visual AI.
Module 6 — AI Agents & ReAct
Create autonomous agents that reason and take actions.
Dorian Laurenceau
Full-Stack Developer & Learning DesignerFull-stack web developer and learning designer. I spent 4 years as a freelance full-stack developer and 4 years teaching React, JavaScript, HTML/CSS and WordPress to adult learners. Today I design learning paths in web development and AI, grounded in learning science. I founded learn-prompting.fr to make AI practical and accessible, and built the Bluff app to gamify political transparency.
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FAQ
What will I learn in this AI Agents guide?+
Hands-on workshop to build an AI agent with the ReAct pattern. Includes tool integration, safety guardrails, human-in-the-loop confirmation, and practical deployment tips.