
Practical AI
Creating a private AI assistant in Thunderbird
Sep 23, 2025 · 53 min · Episode 329 · 51.3 MB
0:00-53:08
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In this episode, Daniel and Chris are joined by Chris Aquino, software engineer at Thunderbird to hear the story of how they developed a privacy-preserving AI executive assistant. They discuss various design decisions including remote (but confidential) inference, local encryption, and model selection. Chris A. does an amazing job describing the journey from "let the big LLM do everything" to splitting apart the workflow to be handled by multiple models.
Featuring:
- Chris Aquino – LinkedIn
- Chris Benson – Website, LinkedIn, Bluesky, GitHub, X
- Daniel Whitenack – Website, GitHub, X
Links:
Sponsors:
- Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce.
Start your one-dollar trial at shopify.com/practicalai
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LinkedIn
linkedin.comWebsite
chrisbenson.comLinkedIn
linkedin.comBluesky
bsky.appGitHub
github.comX
x.comWebsite
datadan.ioGitHub
github.comX
x.comThunderbird
thunderbird.netThunderbird Pro
tb.proshopify.com/practicalai
shopify.comMidwest AI Summit
midwestaisummit.comupcoming webinars here
practicalai.fm
- 0:00Welcome to Practical AI
- 0:49Meet the guest
- 6:49The way people use email now
- 9:23AI in email
- 13:39Sponsor: Shopify
- 15:08AI models
- 20:31Privacy
- 26:28Creating a connection with Flower
- 28:13Hosting private models
- 34:49Formatting
- 36:59Audiences
- 44:14The future question
- 51:40Outro