The verification pipeline is the most valuable part of your workflow. Most people who use AI for literature reviews skip exactly that step — they trust the output and move on.

What you're describing is closer to building a testing harness than "using AI to write." You're asserting claims, checking them against source PDFs, and reviewing manually. That's more rigorous than most manual lit reviews where people skim abstracts and cite papers they half-read.

Document the pipeline as methodology in your dissertation. That turns a potential misconduct question into a contribution.

Thanks for the feedback and appreciation. Maybe at some point I’ll polish it and make it open source if people find this valuable