What Building a Social Scheduler Taught Me About Reliability

Most automation tools feel impressive right up until you have to trust them. It is easy to demo a scheduler. It is much harder to build one that survives real life: expired tokens flaky platform APIs posts that need review queues that drift out of sync failures that happen while you are asleep That gap changed how I think about automation. I have been building a project called PostPunk, and I thought the hard part would be generating content and wiring platform APIs together. That turned out to be the easy part. The real work was operational trust. A useful scheduler needs a few things that demos usually skip: 1. Approval states matter Not every post should go straight from draft to published. Some posts are written by you and are ready immediately. Some are AI-assisted and need a second look. If your system does not distinguish that clearly, you end up either babysitting everything or accidentally posting junk. So I ended up treating post states as part of the core workflow, not just