Build an AI Agent That Works on Your Real Data (Not a Toy Demo)

Most "AI agent" demos stop at a toy chatbot. This build-along goes further: Tom builds an AI agent on top of a real Supabase-backed notes app — then deliberately tries to break it, and shows exactly how guardrails (a deterministic gate, not another LLM call) stop it going rogue. You'll see: the agent get built live with Claude Code, a working chatbot answering real questions about real data, an attempt to jailbreak it into answering off-topic questions, the guardrails fix that shuts that down — and the "boring but essential" production questions most demos skip: what happens when your model provider goes offline? Chapters: 0:00 Build an AI Agent on Your Real Data 2:42 From a Supabase Notes Wall to a Real Agent 4:00 Asking Claude Code to Build the Agent 6:10 A Proof of Concept, Not an Exfiltration Risk 9:36 Testing the Working Chatbot 11:34 Trying to Fool My Own Agent 12:20 "Only Answer Questions About the Data" 14:21 3 Ways to Stop an Agent Going Rogue 16:05 Watch It Refuse 18:09 What Happens When Your AI Provider Goes Down? 19:22 Where to Go Next Is your AI agent actually ready for real data and real production traffic? Concept To Cloud's free AI-Readiness Audit tells you exactly where the gaps are — book a Discovery call: https://concepttocloud.com/services/ai-data-preparation/ai-readiness-audit --- Concept To Cloud helps regulated and mid-size teams take AI agents from toy demo to production — real data sources, guardrails, and a plan for what happens when things break. concepttocloud.com