[lmeyerov]

Interesting, a lot of this is consistent with our experience!

We've been adding linters, including semantic analysis, in various ai talk2db connectors in loiue.ai that help steer better than normal thin MCPs enable. We've been having to hand roll for making it easy for folks to use splunk, kusto, etc better, so cool to see something like this for sql - we were hoping for precisely that! Our semantic analysis is driven by what's in the DB (schema, ..) x policy controls configurable by team admins, which this does out of the box for SQL.

[whoami4041]

That's exactly the use case I built agent runtime mode for: AI agents generating SQL need a policy layer between intention and execution. The rules engine is designed to be extensible for precisely that reason and can be enhanced with DB metadata via the catalog integration.

Would love to compare notes on how you're handling the non-SQL side. Feel free to reach out!

[e-mail].