Okay, we spent the past night all playing with Fable (didn’t sleep, lol).
If you’re using Fable like you used Opus, you’re probably using it wrong.
Opus was a break through because you could give it a task and its generation of the answer was probably pretty good. So if you knew what you were doing (let’s say frontend design) then it can get really good outputs with some tasteful prompts.
Fable is really good if you don’t know what you’re doing. The best way to use it is to essentially give it a problem, such as a major refactor or optimization problem, and just tell it to spawn up N-number of agents on different work trees to solve the problem. Have one Fable agent act as the reviewer and when the agents finish their work, whatever emerges as the best answer wins.
The reason this is powerful is you’re essentially having 50+ 150 IQ people try and solve the same problem. If 49/50 are unable to solve it, but 1/50 comes up with the solution, then you have accomplished what you set out to do — which is have a novel insight or breakthrough that you, as the prompter, were not privy to.
This is essentially what the Anthropic team is trying to codify with “/loop” and “/goal” but the way they communicated it was a bit overcomplicated.
Hard problem -> spawn agents to solve -> have other agent pick best answer -> repeat.
If you do this, you’ll see the full power of Fable.
Happy hacking!