Our practical standard for buildingtrustworthy AI at Arionkoder.
Trust OS is a shared library of proven patterns and guidance to help teams design and ship AI that is reliable, secure, safe, and transparent.
Patterns
Unified memory management for AI agents.
Reconstruct any AI decision with full context and rationale.
Protect the AI from being tricked into ignoring rules or acting outside its scope.
The system surfaces a clear, step-by-step reasoning path for AI-driven decisions so users can see how the system moved from inputs to outcome, and what options they have next.
Route risky AI tasks to humans and give users a clear way to override the AI.
Intercept and correct AI hallucinations before they reach users.
Intercept high-risk or unsafe inputs before they reach the AI, halting interaction instantly with safe fallback.
A production-ready authentication building block for microservice architectures that enables multi-provider login (Cognito + Okta SSO) and stateless JWT verification.
Give stakeholders real-time visibility into AI system health, safety metrics, and trust indicators.
Capture user corrections and feedback to continuously improve AI accuracy and behavior.
Guide users with pre-defined conversation starters that set clear expectations about AI capabilities.
Give stakeholders real-time visibility into AI system health, safety metrics, and trust indicators.
Capture user corrections and feedback to continuously improve AI accuracy and behavior.
Guide users with pre-defined conversation starters that set clear expectations about AI capabilities.
Try one pattern. Tell us what happened.
Pick a pattern that fits your current work, implement it, then share what worked, what didn’t, and what’s missing. We’ll use feedback to improve and expand the library based on real delivery needs.