Put the finishing touches on the CLI and fixed some little bugs. To the best of my knowledge, I have correctly implemented a search for the letter with the highest entropy given a certain game state. Whether this method is effective is quite another matter. It does seem to be performing decently well for many words - it got “crustacean” after guessing e, s, r, and a. (The program will output the solution immediately as soon as it has eliminated all other candidate words.) “Rusty,” meanwhile, took 13 guesses, 11 of which were wrong. This was no better than my original, naïve program. In some cases - though perhaps they are unlucky cases - the old Python program did significantly better. HangStop took 7 guesses (4 of which were wrong) to uncover “punctuation,” while the Python program only used 4, 1 of which was wrong. This problem deserves a bit of automated testing to ensure I am not subconsciously cherry-picking examples. :) My next step is going to be to write a script to hammer both the Rust CLI tool and the Python backend of my old project with thousands of words and determine whether “count the letters” is really beating the fancy information theory I championed. (As exemplified by the egregious use of DFS in my previous Rust project, one may easily see that I have a bit of a tendency to over-engineer things.)