Embracing the Power of Average with LLMs

In today's world, Large Language Models (LLMs) have revolutionized the creation of content by making it possible for anyone to produce average quality work quickly and effortlessly. This shift, initially seen in creative fields, is now extending to software and other text-based domains such as intellectual property and legal work. While 'average' might sound mundane, it represents a significant improvement over sub-par efforts and democratizes the ability to create.

The real magic of LLMs lies in their ability to handle data intuitively and efficiently. Many people have a strong sense of the insights they want from their data but lack the technical skills to extract it effectively. LLMs excel at writing SQL, syncing data, and generating charts, making them invaluable tools for data analysis.

This is where platforms like rawquery come into play. Designed to be operated by LLM agents, rawquery allows users to connect data sources and interact with them using plain language. For example, a user can easily analyze the impact of an email campaign on sales without needing to build complex attribution models. By simply describing the desired analysis in English, the LLM handles the technical details and delivers the results.

The process is straightforward: connect your data sources, describe your query, and receive the analysis. For instance, by linking Stripe and HubSpot data, one can quickly determine if an email campaign increased revenue. The LLM performs the necessary joins and calculations, presenting the results in a comprehensible format.

This approach not only saves time but also eliminates the need for specialized data teams. Users can delve deeper into their data, breaking down results by week or other criteria, and easily share findings with stakeholders through public links. The average quality of the SQL and charts produced is more than sufficient for practical decision-making.

Ultimately, the ability to produce 'average' work with LLMs is transformative. It empowers individuals to leverage their data effectively without the need for extensive technical expertise. The simplicity and speed of this process highlight how average can indeed be magical.