Large Language Models unlock powerful capabilities, but shipping safe and reliable features requires well-known patterns and guardrails.

Core Patterns

• RAG (Retrieval-Augmented Generation): Ground outputs with your data to reduce hallucinations.
• Tools & Function Calling: Let models invoke deterministic services for accuracy.
• Orchestration: Break complex tasks into smaller, chained prompts.

Safety & Observability

• Content filters and policy checks on both input and output.
• Prompt/version tracking; latency and cost budgets per request.
• Eval suites with golden datasets and human-in-the-loop reviews.

Start small with a narrow use case, instrument thoroughly, and iterate with data-driven evaluations.