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Developers find that single AI models degrade in performance over complex, long-running tasks, accumulating errors and getting stuck in loops. This unreliability forces costly resets and limits the quality of the final output, as any one model has inherent biases and weaknesses.
An orchestration platform allows different AI models to work together on the same task, creating a more robust 'alloyed' agent. By intelligently switching between models like Gemini, Claude, and others in a single workflow, this service leverages their diverse strengths, prevents performance decay, and achieves superior results than any single model could alone.