โœ After experimenting with more than a thousand prompts, a tech lead discovered six key patterns that consistently produced better outcomes and created a framework called “KERNEL.”

Each letter represents a principle for effective prompting: Keep it simple, Easy to verify, Reproducible results, Narrow scope, Explicit constraints, and Logical structure.

When tested on models such as GPT-5, Claude, Gemini, and LLaMA, it increased first-attempt success to 94 percent while reducing token usage, time, and revisions by over half.

The team now applies KERNEL in production, doubling the speed of AI-assisted development and demonstrating that a well-structured prompt can perform as efficiently as well-written code.

Source: Reddit | u/volodith

#ai #artificialintelligence #aitools #aihacks #chatgpt
๐Ÿค– โœ After experimenting with more than a thousand prompts, a tech lead discovered six key patterns that consistently produced better outcomes and created a framework called “KERNEL.” Each letter represents a principle for effective prompting: Keep it simple, Easy to verify, Reproducible results, Narrow scope, Explicit constraints, and Logical structure. When tested on models such as GPT-5, Claude, Gemini, and LLaMA, it increased first-attempt success to 94 percent while reducing token usage, time, and revisions by over half. The team now applies KERNEL in production, doubling the speed of AI-assisted development and demonstrating that a well-structured prompt can perform as efficiently as well-written code. Source: Reddit | u/volodith #ai #artificialintelligence #aitools #aihacks #chatgpt
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