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I built a full SaaS product in one session — YouTube API, AI title generation, and Slack alerts, all on Lovable. This is a complete walkthrough of building a real product from scratch using Lovable. Not a landing page, not a to-do app — an actual tool with API integrations, a database, AI features, and automated alerts. The product is a YouTube competitor tracker that detects outlier videos, ranks channels on a leaderboard, generates titles using AI, and sends Slack notifications. I walk through every step: planning with plan mode, connecting external APIs, storing secrets, iterating on feedback, and adding AI directly into the app. I left in the bugs and the back-and-forth because that's how building actually works. What's covered: Going from idea to working product in a single Lovable session Using plan mode to structure a complex build before writing code Setting up a real database with six tables (profiles, competitors, videos, snapshots, outliers) Connecting the YouTube Data API v3 — full walkthrough from Google Cloud Console to API key Storing API keys securely using Lovable secrets Building multi-tenant support — switching between creators, clients, or channels Adding outlier detection with configurable thresholds per profile Iterating on the UI mid-build — grid views, dashboard stats, filtering Adding AI directly into the app for title generation (Gemini Flash vs Gemini 3 Pro) Wiring up Slack webhook alerts for automated daily notifications When to restart vs iterate — tips for getting better output from Lovable What a mature version looks like (VC Brand Index — 107 channels, 41k videos tracked daily) Timestamps: 0:00 - What we're building 1:08 - Full build plan (two phases) 6:56 - Prompting Lovable with plan mode 9:50 - Comparing two initial builds 10:43 - Adding YouTube API integration 12:52 - How to get a YouTube API key 14:36 - First look at the live build 15:01 - Adding a profile and competitors 16:00 - Competitor data and outlier detection 17:57 - VC Brand Index — what a mature version looks like 20:01 - Iterating on the build (grid view, dashboard fixes) 22:01 - Testing the improvements 25:07 - Phase 2: Adding AI into the app 27:07 - Generating titles with Lovable AI 29:49 - Wiring up Slack webhook alerts 32:52 - Switching AI models (Gemini 3 Pro) 37:00 - Testing the Slack integration 39:52 - Full recap and what's next Links: Lovable: https://lovable.dev/?via=sheldonbishop Wispr Flow: https://ref.wisprflow.ai/sheldon-bishop Tella: https://refer.tella.com/sheldon-bishop My newsletter: https://zerotoone.co Brew Atlas: https://brewatlas.co I ship AI-built products every week and show the full process. Subscribe if that's your thing.