Stop Prompting, Start Engineering: 10 Logic-Gate Protocols for LLMs
The article introduces a set of 10 engineered protocols called the
Why it matters
These engineered protocols could help address the limitations of current AI prompting approaches, leading to more reliable and consistent outputs from large language models.
Key Points
- 1Most AI prompts fail due to reliance on natural language 'vibes' rather than structural logic
- 2The author developed 10 engineered protocols called the 'Logic-Vault' to force LLMs to operate within strict logical constraints
- 3The protocols include a Logic-Flow Security Auditor, Venture Architect, Web3 Gas Optimizer, and Personal AI Tech-Tutor
- 4The full 7-page PDF with the 10 protocols is available for free download
- 5This community-funded project aims to help developers and founders improve their AI outputs
Details
The article highlights the problem that most AI prompts fail because they rely on natural language 'vibes' rather than structural logic. When asked to solve complex system architecture or security audits, LLMs often drift into hallucinations. To address this, the author spent weeks applying Systems Engineering and Chain-of-Thought (CoT) frameworks to build a set of 10 engineered protocols called the 'Logic-Vault'. These protocols are designed to force the LLM to operate within strict logical constraints, ensuring more reliable and consistent outputs. The 10 protocols include a Logic-Flow Security Auditor, Venture Architect, Web3 Gas Optimizer, and Personal AI Tech-Tutor. The full 7-page PDF with these protocols is available for free download, and the author is sharing this work to help developers and founders improve their AI-powered workflows. The project is community-funded, and the author encourages readers to support the research if the protocols prove valuable.
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