The Problem with AI Prompting
Most AI prompts fail because they rely on natural language "vibes" rather than structural logic. When you ask an LLM to solve a complex system architecture or a security audit, it often drifts into hallucinations.
I spent the last few weeks applying Systems Engineering and Chain-of-Thought (CoT) frameworks to build what I call the "Logic-Vault". These are 10 engineered protocols that force the LLM to operate within strict logical constraints.
What’s Inside the Vault?
I'm releasing the full 7-page PDF today for free. It contains 10 Mega-Prompts, including:
- Logic-Flow Security Auditor: For finding structural flaws in code/logic.
- Venture Architect: For stress-testing business MVPs.
- Web3 Gas Optimizer: For Solidity and Smart Contract efficiency.
- The Personal AI Tech-Tutor: For high-retention learning.
Access the Full PDF
No email walls. No sign-ups. Just the logic.
[[Download the 2026 AI Logic-Vault here ]] https://docs.google.com/document/d/18aIWCQuPluRqkQYrsRxTL00F-vbqEh_in8dtBenPWhk/edit?usp=drivesdk
Support the Research
This project is community-funded. I am sharing the entire work for free to help developers and founders.
If these protocols save you hours of work or improve your AI outputs, consider supporting the research. Even a $1 or $5 contribution makes a huge difference in keeping this project alive.
[Support via Coinbase Commerce] https://commerce.coinbase.com/checkout/2b51d0e5-89e8-4a71-9239-2e19a0523157
Note: These protocols are optimized for GPT-4o, Claude 3.5, and o1 models.
I’d love to hear your feedback! Which protocol worked best for your workflow?
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