Guardrails and Safety
Guardrails are systems that constrain LLM behavior to ensure safe, reliable outputs and prevent unsafe actions. This chapter covers input validation, output filtering, prompt injection defense, action safety, hallucination mitigation, and reliability patterns for production systems.
Ensemble Methods for LLM Reliability
Ensemble methods are critical for production reliability. This chapter covers multi-model coordination patterns that improve accuracy and reduce hallucinations.
Reliability Patterns
Production LLM systems need robust reliability patterns beyond basic retry logic. This chapter covers advanced patterns for building resilient AI applications.
AI Governance and Compliance
Governance is now a delivery constraint, not a policy abstraction. The EU AI Act carries fines up to the greater of 35M euros or 7% of global turnover, US states are passing their own AI laws, and enterprise buyers ask for AI governance evidence in procurement. The good news for engineers: governance maps cleanly onto practices you already run (security, evals, observability, incident response), so the goal is to emit governance evidence as a byproduct rather than bolt on a parallel process.