I’ve noticed a pattern with some AI startups that are producing flashy demos with very low customer engagement.
They are usually solving occasional problems.
An example is “use natural language to query a database”.
Most employees at a tech company don’t actually write SQL queries every day. They might want to write a query once a month and struggle with the syntax. This is an occasional problem.
Data scientists, on the other hand, write SQL queries every day, but the solution they’d want is a power tool for data scientists. It would probably have version control, performance monitoring and collaboration features. Not a chatGPT style interface for hobbyists and beginners.
LLMs are really shining right now where they are applied to repetitive work that’s done by teams of human for 8+ hours a day.
@greenliteai is automating KYB for banks
@SolveIntel is automating the production of legal patents
@markprompt and
@Senso_AI are making customer service agents more effective.