“Just throw it in the cloud” gets complicated when the data is your meetings, your IP, and your operating context. In this episode of Pop Goes the Stack, Lori MacVittie and Joel Moses talk with Michael Daugherty, founder and CEO of Quill Meetings, about why local-first AI is showing up as a serious alternative to cloud-first convenience, especially when your AI is effectively a coworker sitting in every meeting. Local-first tools keep transcription, notes, highlights, and long-term context on your device or inside your org, so your most valuable (and most sensitive) inputs don’t default to third-party APIs. The payoff: Better personalization from the context that only exists locally Stronger privacy & compliance for regulated teams and sensitive conversations Clear control over the “data tap”—share with other AI tools only when you choose Reusable meeting knowledge: build a personal/organizational lexicon you actually own Enterprise-friendly paths like private inference servers and VPN-controlled architectures They also dig into practical realities—hardware variability, GPU/driver quirks, and resilient fallbacks—plus how Quill uses MCP (server + client) to let you bring your meeting corpus into tools like Claude and Cursor while keeping control where it belongs. Bottom line: context is becoming the competitive advantage in AI, and where that context lives matters. Local-first tools give teams a way to set boundaries, reduce exposure, and still benefit from AI, without assuming the cloud is the only place intelligence can run. Chapters: 00:00 Welcome to Pop Goes the Stack 00:34 If AI lives somewhere else, so does your IP. Is the future in the cloud or on prem? 02:06 Why local-first: Your best data lives only on your device 03:32 Meeting bots: Personalized takeaways "lowest common denominator" output 04:16 Real story: Local Sichuanese transcription for health follow-up 06:59 Local compute reality: Handling weak devices + graceful fallbacks 09:38 Enterprise option: Run your own inference server + VPN control 10:42 Local-first durability: Software that survives the company 11:13 Personal lexicon + private notes that shape outputs 13:56 MCP integration: Use Quill data in Claude/Cursor + automation next 17:38 Key takeaways: Push to the edge, local-first = AI boundary, and context is competitive Learn how you can stay ahead of the curve and keep your stack whole with additional insights on app security, multicloud, AI, and emerging tech: https://go.f5.net/xb0shphg Meet our guest: https://go.f5.net/q484jwn7 Explore Quill Meetings: https://go.f5.net/sbsgzasu More about F5: https://go.f5.net/svz5g5tf Read our blog: https://go.f5.net/qrwkhok4 Follow us on LinkedIn: https://go.f5.net/q6d1kyog

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