
AI should take work off your plate. So why does choosing models, checking results and keeping up sometimes feel like another job?Jason Padgett is joined by guest co-host Bryan Barnhill for a practical Weekly Blitz conversation about small-business AI, useful automation and the work of checking what your agents actually did.Bryan is a retired IT professional whose later career included healthcare. He describes his interest in helping owners think about AI before a business transition, building an app that lets customers buy friends a drink for later collection, and learning from a multi-agent fantasy-football project that did not generate sales.WHAT YOU’LL TAKE AWAYCompare model quality with the quality of your prompts and feedback.Give every automation a way to be checked and updated.Start with the customer’s problem before sending agents to fix things.Treat an unsuccessful product experiment as evidence you can learn from.TRY THISChoose one recurring task. Define the useful result, decide how you will check it and put a review date on the calendar.CONNECT WITH BRYAN BARNHILLBryan is based in Indianapolis. He is exploring AI uses for local small businesses and building a drink-gifting app.https://www.linkedin.com/in/bryan-barnhill-4698b16/RESOURCES MENTIONEDZen Mind, Beginner’s Mind. Jason discusses its beginner’s-mind idea during the conversation.CONNECT WITH JASON PADGETTJason Padgett | AI Solutions Architect | Co-Founder, Wooden Boy Industries | Host, AGI Podcast | AI Adoption, LLM Systems & Human-AI WorkflowsAGI - Advance Grow and Innovate with AI Podcast Network🌐 https://schoolsout.agipodcast.ai/CoFounder, Wooden Boy Industries🌐 https://woodenboyindustriesai.com/Chief Solutions Architect, Chakra AI Solutions🌐 https://chakrasolutions.ai/📧 jason@agipodcast.aiTOOLS DISCUSSEDChatGPT and CodexClaudeGrokSlackMUSICShrug It OffMusic licensed through Soundstripe.Code: AQUEWI4ZJHA7FLTT
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