Practical AI · Practical AI LLC

Build a workspace of AI agents

March 8, 2025·48 min·4 clips

Scott Meyer shares his RIPE framework—four simple sentences that transform how you get answers from AI.

Practical AI hosts Daniel Whitenack, CEO of PredictionGuard, and Chris Benson, principal AI research engineer at Lockheed Martin, interview Scott Meyer, founder and CEO of Chip, a platform for building AI agent workspaces without deep technical expertise. Scott joins from Fargo, North Dakota, which the hosts highlight as evidence that the AI boom is not confined to coastal tech hubs. The episode begins with a survey of the AI assistant builder landscape, from fully coded custom agents to low-code platforms and no-code tools, examining how the space has evolved and what different categories of tools exist for businesses wanting to deploy AI capabilities. Scott leads with a striking statistic: while roughly 50% of Americans use AI tools every week, only about 7% of businesses have formally deployed AI in their operations. He argues this gap exists not because businesses are unaware but because individual employees are using AI as a personal advantage without their organisations knowing or systematising those practices — a pattern reminiscent of the early days of personal mobile devices at work, before enterprise device management existed. His central recommendation for organisations is simple: monthly lunch-and-learn sessions where employees share what they are actually doing with AI, enabling horizontal diffusion of best practices. Chip is positioned to help organisations move from ad-hoc individual AI use to structured, shared agent workspaces. The conversation covers how Chip differs from other platforms, what kinds of workflows it is particularly suited for, and how small and medium businesses outside major tech centres can leverage AI to punch above their weight. The episode is energetic and practical, emphasising real business application over theoretical capability.

As heard by us

The episode judges AI by how quickly it becomes useful.

Daniel Whitenack, Chris Benson, and Scott Meyer keep the focus on a simple test: AI matters most when it helps people reach value quickly, without making them learn a new interface. That framing keeps the discussion grounded in product design rather than hype.

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Why you'd press play

When you care more about putting AI where people already are than making them learn a new interface, this one gets useful fast.

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