Practical Lessons for Building Robust AI Support Agents

Spec27 shares lessons on building robust AI support agents, arguing robustness means staying correct through typos, exceptions, tool calls and long workflows, and that testing must be layered according to the chosen architecture.

2026-08-25 ~ 2026-08-26 · 2 related posts

• Building Robust AI Support Agents: Practical Lessons on Handling Typos and Workflow Exceptions — njyx · 2026-08-25
• Building Robust AI Support Agents: Practical Lessons Across the Four Routes — njyx · 2026-08-26