Deterministic governance boundary for AI agents before execution
A community discussion on how to control AI agent actions with clear rules before they execute tasks. The goal is to improve agent safety and predictability.
When AI agents act autonomously, there is a risk of unexpected mistakes. This post asks for feedback on a system that checks an agent's intended actions against predefined clear rules (deterministic governance) before running actual code or communicating with external services. Setting these control boundaries can help reduce unnecessary token waste and costs caused by agent errors.
Key points
- Discussion on verifying AI agent actions before they are executed.
- Uses predefined rules to prevent agent mistakes.
- Helps reduce wasted work and costs by blocking errors in advance.
Quick term guide
- AI agent
- An AI program that can inspect information and suggest what to do next.
- AI agents
- AI agents are AI tools that can carry out steps toward a goal, not just answer once.
- agents
- AI helpers that follow your instructions and make changes for you.
- autonomous
- The ability of an AI to complete tasks or make decisions without constant human guidance.
- feedback
- A response that tells a user what they did well or should fix.
- deterministic governance
- A clear, predefined system or set of rules designed to make outcomes predictable.
- governance
- The policies and controls a company uses to manage data and systems safely and in compliance with rules.
- token
- A small piece of text used to measure AI input, output, and cost.