Never Write a Prompt Again: Introducing Recursive Prompting

Manual prompt engineering suffers from fundamental inefficiencies: cognitive bottlenecks, information loss through language compression, and lack of access to LLM internal representations. LLMs can write superior prompts for themselves because they understand their own token prediction dynamics, attention patterns, and reasoning pathways. Meta-recursive prompting—where you ask the LLM to generate an optimized prompt before executing a task—produces compounding performance improvements: reduced hallucinations, better reasoning stability, faster convergence, and outputs 2-3x higher in quality. This approach scales with model capability and shifts the human role from prompt engineer to objective specifier, making it the future of AI interaction.