Human-in-the-loop knowledge base for AI agents

Managing human-in-the-loop AI agents presents diverse challenges. One user restricted agents from writing to a Notion knowledge base to prevent outdated, unrevised information. Another encountered a critical bug with AWS Lambda durable functions where the system executed actions contrary to human approval. Meanwhile, LoopRails suggests that real-time AI voice agents require different designs, focusing on limiting agent capabilities and verbal confirmations rather than per-action approvals, as humans cannot realistically intervene during live calls.