When an AI agent errs, a longer prompt is not always the answer. First classify the failure: outdated knowledge, missing source, wrong interpretation, personal information, an action it was not...
When an AI agent errs, a longer prompt is not always the answer. First classify the failure: outdated knowledge, missing source, wrong interpretation, personal information, an action it was not allowed to perform, or unclear wording. Each needs a different protection.
Stop rules define when the agent does not answer: no verified source, question includes billing or account change, confidence is low, or the customer requests professional confirmation. Instead, it gathers minimum details and hands off with reason. A delivered answer is retained with the knowledge-base version that can be reproduced.
Analyse errors in a fixed sample, not only the next complaint. Correct source, rule, or route, test known scenarios, then release a version. Improvement becomes engineering and operations, not random experimentation on customers.
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About the author
Yehonatan Saadia
Freelance automation, web & MVP developer
I'm Yehonatan Saadia, a senior developer who builds business automation, custom websites, and MVPs for small and mid-sized companies across the US, Europe, and Israel. These guides come from real client work, not theory.
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