Most "agent failures" get blamed on the wrong thing! Someone spends a day rewording a prompt when the real problem was that nothing verified the output, or there was no stop condition, or the agent had zero memory of what it tried three steps ago. None of that lives at the prompt layer, so no amount of prompt tuning was ever going to fix it. Knowing which layer a failure actually comes from is most of the skill in building anything reliable with AI right now. Bookmark so you do not lose it! Follow @neil_xbt for more AI engineering content!
NeilXbtShare
Source:Show original
Disclaimer: The information on this page may have been obtained from third parties and does not necessarily reflect the views or opinions of KuCoin. This content is provided for general informational purposes only, without any representation or warranty of any kind, nor shall it be construed as financial or investment advice. KuCoin shall not be liable for any errors or omissions, or for any outcomes resulting from the use of this information.
Investments in digital assets can be risky. Please carefully evaluate the risks of a product and your risk tolerance based on your own financial circumstances. For more information, please refer to our Terms of Use and Risk Disclosure.