Building an Enterprise AI Customer Support Platform with Claude Fable 5.1 and Claude Code

Most AI coding demos stop at task managers, weather apps, or simple chatbots. For this project, we take on something more demanding: building an enterprise customer-support platform that can investigate complaints, retrieve relevant policies, recommend resolutions, and keep risky actions behind human approval. This gives us a practical way to test Claude Fable 5.1 as an agentic engineering tool rather than simply a code generator. The project covers the frontend, API, database, retrieval, AI workflow, permissions, testing, audit logs, and safeguards. In this article, we build the system step by step and see how much of the engineering workload Fable 5.1 can responsibly handle. Why Fable 5.1 for This Build? What Are We Building? How I Used Fable 5.1 Efficiently ResolveAI turns a customer complaint into a policy-grounded recommendation with controlled execution. Why Fable 5.1 for This Build? Anthropic positions Claude Fable 5.1 for demanding reasoning and long-horizon agentic work. It provides a 1M-token context window, up to 128K output tokens, adaptive thinking, and a default high effort level. Anthropic recommends starting with Opus 5 for most workloads and moving to Fable 5.1 when the work genuinely benefits from deeper or longer-running reasoning. That makes this a better experiment than…