Ultra does this thing when it spins up multiple agents that argue and come to a consensus. The problem is it consumes usage like crazy. I’ve been using a technique that I want to share with y’all, and it works very well when tackling hard problems. Two tips:
- Mention the word “orthogonal” (this word tells the LLM to think about and attack the problem from categorically different perspectives)
- Mention “structure this as a Talmudic Debate and reach consensus” - this is my favorite because the Talmud is all about doing an exhaustive search on what the solution is NOT, and then coming to the right answer, the model picks up on this latent feature of Talmudic text. Generic prompt I use: “I have to implement (your_feature_here), enter into an intense Talmudic Study with (number_of_agents) orthogonal experts about how to do this efficiently and accurately must be (customize_your_word_count_here ) words long” submitted by /u/Conscious-Ad-4136
Originally posted by u/Conscious-Ad-4136 on r/ClaudeCode
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