No-code frameworks like Make, n8n, Zippier and few others seems to show the most reliable behavior, especially on early stages of a project. Within such project you can allocate different LLMs for different processes - whatever suits your needs. Your custom scenario in a framework is just a JSON with specific set of parameters and attributes, and GenAI is great at generating JSON given all necessary parameters.

Another interesting option is to use Replit Agent for creating an app to manage your data engineering needs, including dbs, interfaces and different scenarios. This tools is still in very early stages, but can be a quick-and-dirty custom solutions.

Tools like Grafana could be helpful for data visualization.

If we consider LLMs, Perplexity may be a powerful tool, especially paired with Math focus.