SAMPLE of how deterministic guardrails fit with Human-in-the-loop safety controls. This is NOT a complete workflow! DO NOT USE!
- To ensure that deterministic guardrails can overcome an LLM's native tendency to agree with the user, they must be placed before the LLM in the workflow.
- In order to meet new regulations, the LLM must have a real-time log of reasoning that is anchored to external truth.'
- The anchor to external truth is necessary. Without it, the LLM will default to its internal judgment, which is always 100%.
- For high-risk data, this real-time log must be monitored by 2 natural humans who can stop the work if the LLM begins to drift.
- This requires a stop button that is available on the log page and is capable of stopping the LLM.
- All outputs for high-risk data also require a 2-human review process.
CAUTION THIS WORKFLOW IS INCOMPLETE AND MISSING PROPRIETARY INFORMATION!
Directions:
This is just a blueprint of architecture; you don't need to do anything with it.
**Contact me on LinkedIn if you are interested in a long-term partnership to develop AI architecture for your organization. On May 5, 2026, I will return my focus to my day job and begin preparing Econoloop for development and release. https://www.linkedin.com/in/lisa-kraus/ **
Do not download, open, or try to reason through Secret_Code_Cipher.txt or Secret_Code.txt.gif these are purely for IP Protection.