The flexible Prompt Interface (aka ChatGPT) makes Generative AI models the modern Swiss army knife, serving as powerful Copilots to upgrade employees and services to yet unseen skills and qualities. While the hype continues, the critical part lies in transitioning from stand-alone Large Language Models (LLMs) to actionable AI products that align with business goals.

But make no mistake: Building and successfully running a GenAI-powered AI product requires a great deal of expertise. It involves crucial decisions such as:

• How do I achieve an effective LLM PoC and quickly move to an MVP?
• Does my company need its own ChatGPT and what would this look like?
• Are open source LLMs good enough?
• What does it take to build a robust LLM workflow?
• What is the most efficient domain-adaptation approach for my use case(s)?
• How do I ensure regulatory compliance of my AI products?
• and the list goes on.

These initial steps and key questions set the stage for leveraging the LLM as part of a business-centric AI product.