Future of AI: Perspectives for SMB’s

AI systems that combine multiple LLMs and other tools offer a compelling solution. These systems allow for better cost and compute management by intelligently routing tasks to the most suitable resources. For example, a smaller LLM could act as a “router,” directing tasks to specialized LLMs or tools for optimal efficiency. These systems can also enhance reliability and quality by incorporating checks and balances during the computation.

But as you apply these AI systems to real-world problems, you should approach this wisely. My common advice to AI startup leaders is to strive for “product-algo” fit. What I mean by that is while AI systems will be a dramatic improvement over barebones LLMs in terms of reliability and efficiency, they will still be imperfect; the underlying uncertainty involved in LLM calls, search and retrieval will not completely go away. So as an entrepreneur creating a new product, understand the strengths and weaknesses of the technology, and craft that product in a way that leverages their strengths and compensates for their imperfections. This is what I call “product-algo fit”.

White Paper from