Practical AI · October 29, 2026 · 54m

Abundant Intelligence at the Midwest AI Summit

Andrew Dunlap, Chris Shinkle, Heidi Porter, Kevin Solorio

This special episode of Practical AI gathers highlights from three talks at the Midwest AI Summit. Heidi Porter discusses building reliable AI-augmented workflows through tools, evaluations, and guardrails. Kevin Solorio explains why involving frontline workers in AI development builds trust and drives adoption. Chris Shinkle and Andrew Dunlap of SEP share lessons on matching AI autonomy to a software team's goals, constraints, and verification needs. The episode offers practical guidance for teams moving AI from demos into daily work.

This summary was generated from show notes and public descriptions, not from a full transcript review. Details may contain inaccuracies.

Preview

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Reliable AI-augmented workflows need tools, evaluations, and guardrails

Heidi Porter's talk covers how teams can make AI-augmented workflows dependable by choosing the right tools, designing evaluations, and setting guardrails.

Claude ChatGPT Gemini

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Build AI with frontline workers, not just for them

Kevin Solorio argues that involving frontline workers in AI development earns trust and drives adoption more effectively than imposing tools on them.

Claude ChatGPT Gemini

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