How Block’s custom AI agent supercharges every team, from sales to data to engineering | Jackie Brosamer & Brad Ax…
How Block’s custom AI agent supercharges every team, from sales to data to engineering | Jackie Brosamer & Brad Axen🎙️ How open-source AI agent Goose transforms everyday workflows: from analyzing messy data to building MCPs that connect to real-world applications, all while eliminating tedious tasks
Why is this in your inbox? Because How I AI, hosted by Claire Vo, is part of the Lenny’s Podcast Network. Every Monday, we share a 30- to 45-minute episode with a new guest demoing a specific, practical, and impactful way they’ve learned to use AI in their work or life. No pontificating—just practical and actionable advice. Prefer to skip future episode drops? Unsubscribe from How I AI podcast notifications here. Brought to you by:CodeRabbit—Cut code review time and bugs in half. Instantly. Lenny’s List—Hands-on AI education curated by Lenny and Claire VP of engineering Jackie Brosamer and principal engineer Brad Axen join me to demo Goose, Block’s open-source AI agent that runs locally, plugs into your existing tools through model context protocol (MCP) servers, and peels away the rote parts of work so people can focus on insight and impact. This episode is packed with in-depth demos: starting with a messy farm-stand sales CSV, Goose analyzes the data, builds visualizations, and generates a shareable HTML report. We then spin up an MCP that lets Goose talk to Square’s dashboard for inventory management, vibe code an email MCP that can send payment links automatically, and unpack how environment setup, debugging, and tool orchestration get handled behind the scenes. What you’ll learn:
Where to find Jackie Brosamer:LinkedIn: https://www.linkedin.com/in/jbrosamer/ Where to find Brad Axen:LinkedIn: https://www.linkedin.com/in/bradleyaxen/ Where to find Claire Vo:ChatPRD: https://www.chatprd.ai/ Website: https://clairevo.com/ LinkedIn: https://www.linkedin.com/in/clairevo/ In this episode, we cover:(00:00) Introduction to Goose and its data analysis capabilities (02:27) How Block embraced AI across the organization (04:48) What Goose is and why Block open-sourced it (07:45) Demo: Analyzing farm-stand sales data with Goose (12:18) Creating shareable HTML reports from data analysis (14:15) Model context protocols (MCPs) that Goose uses (18:56) Demo: Using Square MCP to create a product catalog (23:35) Creating payment links from analyzed data (26:30) Demo: Building a custom email MCP (31:18) Testing the new email MCP with Goose (36:09) Debugging and fixing MCP code errors (38:44) Connecting workflows: sending payment links via email (41:30) Lightning round and final thoughts Tools referenced:• Goose: https://block.github.io/goose/ • Pandas: https://pandas.pydata.org/ • Plotly: https://plotly.com/ • Python: https://www.python.org/ • ChatGPT: https://chat.openai.com/ • Claude: https://claude.ai/ • Cursor: https://www.cursor.com/ • Mailgun: https://www.mailgun.com/ Other references:• Block: https://block.com/ • Model context protocol (MCP): https://www.anthropic.com/news/model-context-protocol • GitHub: https://github.com/ Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email jordan@penname.co. You're currently a free subscriber to Lenny's Newsletter. For the full experience, upgrade your subscription. |
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