YouTube Pro is an open-source workspace I built to keep one YouTube project connected from research to thumbnail.
The reason is simple.
Research kept losing its context.
I would compare videos in one place, take notes somewhere else, ask AI for ideas in another window, then rebuild the whole argument when it was time to write the script and design the thumbnail.
By the end, the creative decision was still there, but the evidence behind it had quietly wandered off.
YouTube Pro keeps that chain together.
First, the research screen gathers and compares as many as fifty public YouTube videos.
It can show titles, publication dates, duration, views, visible interactions, tags, and channel information.
It also shows clear warnings when public fields are missing.
Next, AI Insights works from that exact snapshot.
The brief separates three things.
Observed means the claim is directly present in the public data or calculated from it.
Inferred means it is a useful hypothesis, not a conclusion.
The third label is Requires Studio.
It means the answer needs private channel analytics or a real publishing test.
That distinction matters.
Public views can help you compare a sample.
They cannot reveal impressions, click-through rate, retention, traffic sources, revenue, viewer satisfaction, or the mysterious future mood of the recommendation system.
Apparently, the algorithm declined my request for a crystal ball.
After Insights, the same evidence becomes grounded video ideas.
You choose one, then carry it into the Script Writer.
The script stays editable, individual sections can be regenerated inside the same context, and the teleprompter gives you a focused reading surface.
The Thumbnail Creator finishes the chain.
It starts from the selected promise and brief, supports a small set of permitted references, and produces a sixteen by nine image you can revise and test.
A generated thumbnail is still a hypothesis.
YouTube Studio is where packaging performance gets measured.
The application runs locally and binds to your loopback address by default.
Your eight most recent workflows stay in the current browser profile.
Research calls the YouTube Data API, while insights, ideas, scripts, and thumbnails call Gemini.
Local-first means control of the workspace.
It does not mean the network has taken the day off.
The public version one release is available under the Apache License, version two point zero.
For this guide, the pinned release passed sixty-two automated tests, TypeScript checking, client and server builds, and a high-severity dependency audit with zero reported vulnerabilities.
That is evidence of a tested release, not a promise that software has achieved spiritual perfection.
If you want to try it, start with one narrow topic.
Inspect the source rows in the result.
Challenge one recommendation.
Keep an idea only when you can explain which evidence supports it and what YouTube Studio still needs to validate.
That is the point of YouTube Pro.
It does not automate judgment.
It keeps the receipts attached while you use it.