Everything you know about good API design will lead you astray when building for AI. AI operates under completely different constraints than human developers and understanding these limitations is the key to creating tools that AI can actually use effectively.
Some strategies that separate effective MCP tools from technical demos. Good structures, consolidation patterns, and response design techniques guide AI models toward success. How do we transform frustrating 8-step workflows into simple 2-tool interactions.
How the Model Context Protocol is transforming AI from impressive chatbots into practical assistants that can actually work with your data. Learn why this open standard is the missing piece that connects AI models to the real world—and why early adopters are already seeing results.