Ted Haley

Developer Ted Haley describes an approach to local indexing that reduces how often AI systems need to call tools and how many tokens they consume. By maintaining an index locally, models can retrieve relevant information more directly, cutting both cost and latency. Discussion centers on whether this pattern could become a standard technique for building more efficient AI applications.