#Lix for AI Agents

AI agents are powerful but imperfect—they hallucinate, generate incorrect data, and break things outright. Without lix change control, there is no visibility, accountability, or control over AI agents.

#See Every Change

Attribution shows exactly what changes an AI agent made.

#Accept or Reject

Review AI-generated changes through change proposals. Accept good modifications, reject hallucinations, and let users modify anything that needs adjustment.

#Validation Rules as Guardrails and Self-Correction

Validation rules automatically check AI-generated changes for quality issues and data format violations. AI agents can use validation results to self-correct their mistakes, improving output quality without human intervention.

#Versions for Experimentation

Create isolated versions (branches) where AI agents can experiment safely without affecting the main data. Test AI-generated changes in these sandboxed environments before merging them back.

Made a mistake accepting AI changes? Restore to any previous state.