In my current startup, we rely heavily on email marketing. We've found that sending 10K emails monthly has been a game-changer for us. However, finding this many emails each month at a reasonable cost became our biggest challenge. We’ve been using Apollo.io, which lets us find 10K emails for $99, but the accuracy rate is around 40%.

So, I started training a LLAMA3 model to find anyone’s business email given the first name, last name, and company website as inputs. It’s now performing on par with Apollo.io in terms of accuracy and even validates the emails before outputting them.

Next, I created another agent for LinkedIn enrichment. You provide the agent with a list of LinkedIn URLs, and it outputs an enriched CSV with the most up-to-date data.

My question is: Should I also create another agent that helps users find data first? Perhaps an LLM/Vector-based search? Or a Chrome extension to export data from Apollo or Sales Navigator? How helpful would these agents be before I launch the product publicly? Your advice is highly appreciated. Thank You.