Small business owner's month-long test of AI agents: what saved time and what fell short

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A small business owner spent a month hands-on testing AI agents rather than just reading about them, finding that demos look polished but agents tend to handle routine cases well while struggling with messy, ambiguous requests. The most useful approach was to automate a single repetitive workflow, such as sorting customer questions, which had taken about 40 minutes a day, so the benefit could be measured clearly. Three categories proved valuable: support triage with humans kept in the loop for sensitive issues, persistent lead follow-up, and automated meeting preparation. The author warns about unexpected costs from poorly configured agents, the need to vet vendor data privacy policies, and the importance of staff trust in agent output. The overall takeaway is to treat agents like junior staff with clear instructions and limited scope.

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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