I think it’s also worth mentioning couple of things that people that use the AI review might already know, but people who want to get started with it might find useful.
Firstly there’s already some nice documentation on using the AI review on OGS
It tells you things like how to read the win-rate/score bar per move, and about the review graph overall. It explains that the blue move is the “best” move in a sense that one can explore more if one wishes. The green moves are other considered moves and the opacity is related to how well explored the move was by the AI.
At the end of the day the AI isn’t perfect, maybe even more so on 9x9 where there can be quite complicated fights for the life and death of most of the board!
Still it can be quite useful. One useful tip that gets iterated over and over though is
In particular for handicap games the win rate graph might look like the following which might hide a lot of Black’s mistakes until it was enough to change the result of the game:
The score graph however can show a lot more details
In particular the win rate loss per move might only be 0 or 0.1 percent points until it affects the result of the game where it then could be 90+. On the other hand for score, it could be a series of 1,2,3…,10 points mistakes that all added up over time until White eventually wins by a couple of points.
There’s also a top 3 moves (maybe more in the future) which will try pinpoint some big mistakes by either player which could be useful to review, even without being a site supporter.
You can click on them to jump to that point in the game. There’s going to be an update soon also which will now try to find these moves by change in score rather than change in win rate. Hopefully this will be an improvement, and can continue to be improved upon in the future