Module Overview
You’ve built your agents: They can use tools, maintain memory, and execute workflows. But how do you ensure they follow business rules consistently? How do you optimize tool selection when you have dozens of options? This module tackles the production challenges that separate working demos from reliable enterprise systems. Here’s the challenge: Agents are probabilistic systems operating in deterministic business environments. You need 95%+ accuracy for production deployment, but LLMs alone can’t guarantee rule compliance. Tool selection accuracy degrades rapidly as your agent’s capabilities grow. These aren’t LLM limitations—they’re architecture problems requiring engineering solutions. In this module: You’ll learn production patterns for enforcing business rules deterministically, implementing security guardrails, and optimizing tool selection at scale. We cover validation tools, pre/post-execution guardrails, PII detection, jailbreak prevention, and retrieval-augmented tool selection. Each technique is proven in production and includes real-world cost/accuracy metrics.Learning Objectives
By the end of this module, you will be able to: ✅ Extract hard business rules into deterministic code✅ Implement validation tools that enforce policy consistently
✅ Build security guardrails for PII, jailbreaks, and toxicity
✅ Optimize tool selection for high accuracy at scale
✅ Use retrieval-augmented approaches for large tool sets
✅ Monitor and analyze tool usage patterns
✅ Balance flexibility with reliability in production agents