Do Competitively
neolabhq/context-engineering-kitCompetitive generation uses multiple AI agents to create different solutions for the same task. Each agent works independently and improves its own work through self-critique. This produces a variety of strong approaches.
A special meta-judge sets the rules for evaluation. Then several judges score each solution. If there is a clear winner, it gets polished. If all solutions have flaws, the agents start over. If opinions are split, the best parts are combined into one final result.
This method saves time and money by choosing the right strategy. It works well for tasks where quality is very important. The result is a solution that draws from the best ideas of multiple AI agents.
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