Determining the right time to release an AI agent into production can be tricky, as there isn't a definite signal indicating it's ready. While accuracy might seem acceptable based on testing, user interactions often reveal unexpected issues. What specific criteria do you all use to ensure that an AI agent is safe and reliable for deployment?
2 Answers
For us, it came down to having confidence across various scenarios. If the agent can consistently handle tasks, manage edge cases, and stick to its guardrails during repeated tests, then we're good to go. We used Cekura for testing scenarios, which helps more than just going by gut feelings.
Honestly, you can never be completely sure. Just expect it to fail spectacularly at some point. Users are unpredictable and will push the AI in ways you can't foresee. If you give it too many permissions, consider any sensitive data at risk!
Came to say this! Be ready for it to fail hard!