Biggest Challenges Faced by Teams Running AI Agents in Production and How They Solve Them

Hi All, I’m curious to learn from teams running AI agents in production. After deploying your AI agent, what has been the biggest challenge your team has faced? It could be anything: • Debugging unexpected behavior • Monitoring performance and reliability • Hallucinations • Prompt or model regressions • Tool/API failures • Latency • Rising inference costs • User adoption • Scaling across multiple agents What has been the most recurring problem, and how are you solving it today? I’d love to hear real-world experiences from engineering teams building and operating AI agents.