If your team is building LLM applications, your prompts are probably scattered across application code as string literals. Changing a single word means a code change, a review, and a redeploy — and nobody can tell which prompt version is actually running in production. As LLM apps move from prototypes to production systems, prompt sprawl becomes a real operational problem.
In this hands-on, we'll fix that with two Amazon Bedrock features — Prompt Management and Prompt Flows — by building a customer-support pipeline that classifies an inquiry, routes it, and answers it with the right model. Entirely from the AWS CLI, every command included.
Prefer video? This entire hands-on is also on YouTube:
What we'll build
Customer inquiry
