Constitution Engine: a policy layer for agent systems
Dugg Agabayev
Constitution Engine: a policy layer for agent systems
Decide what an agent is allowed to do
Before an automated system takes action, it needs clear rules: proceed, stop or ask a person to review.
I designed and built a backend prototype for those decisions. It checks requests against versioned policies, records the decision and outcome, and supports escalation to a human.
Keep a record of the decision
Linked records make changes to the decision history detectable. Policy versions show which rules applied when a decision was made, so the reasoning can be traced back to the relevant configuration.
This prototype demonstrates the control logic and data model for future agent workflows. It runs without a live language model or external tool actions.
The illustration below shows the prototype concept: a request follows the rules or goes to a person for review.
Illustrated prototype concept: a request follows your rules or comes to you for review before action.
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Posted Sep 5, 2026
A backend prototype that checks proposed actions against rules, routes decisions for human review and keeps a traceable record.
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