With generative AI tools advancing rapidly to apparent approximate omniscience, why not use them to orchestrate helpful work? How far can we go in planning and execution with the help of LLMs? Can we create new tools on the fly to bridge gaps in existing tools? What does it take to get such a system to production, especially for repetitive work? We will walk through live examples of problem-solving using a composition of multiple tools chaperoned by large language models.