How My Custom GPT Saves Me Hours on Every YouTube Video
This video is a behind-the-scenes look at the custom GPT I use to help run the Life With Tech content workflow. Instead of starting every YouTube video from a blank page, the GPT asks for the show format, topic, recording style, and structure, then helps build a scene-by-scene script that can move into teleprompter mode.
The real value is not that it writes everything perfectly on the first try. It gives me a working structure fast: hooks, personal context, comparisons, engagement questions, calls to action, runtime estimates, metadata, descriptions, tags, and even rough thumbnail ideas. From there, I can revise in canvas, shorten scenes, change wording, or export the work into a format I can keep with the rest of the production notes.
What I like most is that the workflow is getting simpler instead of more complicated. I have tried heavier systems like Bear and ClickUp for tracking creative work, but linking the GPT output back into reminders and keeping the process lightweight has been more useful. The point is not to replace the creator; it is to remove the repetitive setup so the actual video can happen faster.
