If you want to Automate GitHub PRs, the real goal is not just adding another bot comment to a pull request. The goal is to give reviewers the context they usually have to gather manually: who owns the service, whether it is deployed, whether basic repository standards are in place, and whether the change looks safe to merge. A useful AI pull request workflow can do exactly that. When a PR opens, it can sync metadata from GitHub, pull operational and ownership context from an internal developer platform, send that context to an LLM, and return a structured review summary plus a risk level. That reduces blind approvals and cuts down on repetitive reviewer questions. This guide explains how to Automate GitHub PRs using GitHub Actions, Port, a lightweight webhook server, and an LLM such as GPT-4. It also covers what this kind of workflow should evaluate, why a middleware service is needed, and what mistakes to avoid.…