This is a really interesting approach, especially the focus on verification rather than simply generating PowerShell that looks convincing. The generate → lint → test → validate → repair loop makes a lot more sense for production IT than treating an LLM response as something you can blindly copy and paste.
I also like the lab-first philosophy. Things like module versions, Graph permissions, parameter sets, and changing Microsoft APIs are exactly where an otherwise good script can fall apart.
The idea of using different models for generation, retrieval, and critique is interesting too. If the project can produce reproducible verification artifacts alongside the scripts, it could be genuinely useful for sysadmins who want AI assistance without giving up control over what actually gets executed.
I’ll definitely be interested to see how the first verified-script pipeline performs in real-world scenarios, particularly around Entra, Intune, and Graph.