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A new AI development workflow addresses repeated corrections by giving large language models persistent session context. The approach prevents parallel AI sessions from redundantly solving the same problem. The system stores formatting preferences and prior decisions, reducing repetitive prompting and improving orchestration across multiple concurrent assistants.
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