Build an AI Agent Workshop: Safety-First Design
By Learnia Team
Build an AI Agent: Safety-First Workshop
This article is written in English. Our training modules are available in multiple languages.
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
Next Steps
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.
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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.