Few companies are better positioned to benefit from LLMs than Tegus; the company has 60k transcripts of calls between investors and experts, each many pages long and rich with interesting information. Michelangelo outlines several interesting product ideas, many of which are replicable in other scenarios.

Topics Covered

(5:15) The lifecycle of a Tegus transcript and where AI plays a role today

(8:33) What are you most focused on in making better use of this large library?

(14:17) The summaries product we built users loved

(23:23) Internal use cases

(29:05) Long-term vision: creating connections between data sources

(30:17) The holy grail

(30:42) What makes it challenging is you're mixing different kinds of content, so how do you deal with relative levels of "correctness" or "authoritativeness"

(36:01) Build vs buy?

(44:19) What is the top-level unifying goal for you and your team?