This is good stuff. Certainly, a fun direction to take LLMs. Leaning into easier pathways for everyday users to create more complex formulas is a good use of AI. Ultimately, though, there are far bigger fish to fry up - I think LLMs will change everything for users, not just solution-builders.
But two dimensions of this approach concern me.
- Prompt engineering must be used, and that requires a fair bit of maintenance because prompts (that work) for GPT-3.5 are vastly different from GPT-3.0. Where will this go in GPT-4 and GPT-5?
- The nature of Airtable formulas is unique; the patterns are inconsistent, so how could AI provide consistent (and smart) recommendations?
This response is also relevant. It explains why trying to do anything AI-related wth formulas may be extremely difficult.