The Engineering Reality Behind AI Tool Aggregation Platforms

Building a platform that unifies multiple AI services isn't simply about integrating APIs—the real challenge lies in designing clean abstractions across inconsistent formats, managing latency variations, and deciding on platform architecture. This case study reveals why centralizing AI tools requires solving complex backend problems that most developers underestimate, and questions whether this approach will remain viable as agent-based models mature.