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Building an AI agent does not have to be hard. With tools like Supabase and Lovable, along with an LLM provider like OpenAI, creating your own personal AI agent that others can also use is easy! In this video, / dshukertjr walks you through how to build a conversational AI Agent that helps you achieve your fitness goals. It stores the data securely in Supabase, and he also shares some tips on how to ensure your app is secured. CHAPTERS: 00:00 Intro 00:21 Create the initial web app 02:32 Add LLM to the app 04:00 Adding streamed response 13:25 Add database and auth 17:42 Trying out the final app 22:53 Ensure RLS is working from dashboard 👇 Learn more about Supabase 👇 🕸 Website: https://supabase.com/ 🏁 Get started: https://app.supabase.com/ 📄 Docs: https://supabase.com/docs 🔔 Subscribe for more tutorials and feature updates from Supabase: / @supabase 📱 Connect with Us: 🐙 Github: https://www.github.com/supabase 💬 Discord: https://discord.supabase.com/ 🐦 Twitter: / supabase ▶ Instagram (follow for memes): / supabasecom ABOUT SUPABASE: Supabase is the open source Firebase alternative. Supabase provides a full Postgres database for every project with pgvector, backups, realtime, and more. Add and manage email and password, passwordless, OAuth, and mobile logins to your project through a suite of identity providers and APIs. Build in a weekend, scale to millions. #aiagents