So here’s another tip. I took all the Resolve training guides and the user manual and added them to my Google NoteBook LM, creating its own notebook. Now when I am looking to learn or understand a feature I can just use natural language query to prompt the AI to provide me with the results. Since it only references all the source materials I gave it, the response are essentially focused on DR. When I have the time, I will expand it with other related external resources to enhance its training capabilities.
For example, using the tip about combining Magic Mask with Power Window from Custis above post, I asked it if it will give me better results. This is what it responded:

- IMG_1320.png (492.57 KiB) Viewed 75 times
Note that I just asked it in plain English and it was only referencing the sources I gave it.
Then I gave it instructions in plain English again to give me a step by step instructions on how to replace a white light to red light and to make it more complex, that the light is at a distance and the camera is moving. This next two screenshots are the results of my inquiry. I’m just showing the first and last part to the results because I can’t post more than 3 images but you get the point.

- IMG_1321.png (527.28 KiB) Viewed 75 times

- IMG_1322.png (515.67 KiB) Viewed 75 times
It’s AI so you should at least understand what it is suggesting because it’s not always correct. How it responds depends on how well you train it, the sources you provided, and that you can verify its correctness. So far, it’s done a decent job on things that I am new to or to get me started or grounded on how to do something I want.
URSA Mini Pro 4.6K G2, BMPCC 6K. iMac Pro 27” 5K Retina, 64gb, 1Tb SSD, 12Tb M.2 NVMe TB4 DAS, 36Tb HDD DAS, Vega 56 8gb GPU/ BM Vega 56 8gb eGPU, MacOS Sequoia+DVRS 19.1.4, BM Panel & Speed Editor. Mac Mini M2 Pro 10/16 cores, Sequoia+DVRS 20