How I AI

• The exact AI playbook (using MCPs, custom GPTs, Granola) that saved ElevenLabs $100k+ and helps them ship daily | Luke Harries (Head of Growth)

  Luke Harries, Head of Growth at ElevenLabs, the leading AI voice technology company, shares how he’s automating marketing workflows with AI—from case studies to translations to WhatsApp integrations—saving his company over $140,000 while making everything a launch.What you’ll learn:1. How to create polished case studies in minutes using AI transcription and a custom GPT2. How ElevenLabs built a custom AI translation system that saved them $140,000 annually and eliminated agency headaches3. How to use Model Context Protocols (MCPs) to connect AI assistants to your WhatsApp messages4. The “everything is a launch” philosophy that helps ElevenLabs maintain consistent marketing momentum5. Why marketers should learn to code with AI tools like Cursor6. How to create effective custom GPTs by focusing on prompt engineering rather than output editing—Brought to you by:Orkes—The enterprise platform for reliable applications and agentic workflowsRetool—AI that’s designed for developers, and built for the enterprise—Where to find Luke Harries:Website: https://harries.co/LinkedIn: https://www.linkedin.com/in/luke-harries/GitHub: https://github.com/lharriesX: https://x.com/lukeharries—Where to find Claire Vo:ChatPRD: https://www.chatprd.ai/Website: https://clairevo.com/LinkedIn: https://www.linkedin.com/in/clairevo/X: https://x.com/clairevo—In this episode, we cover:(00:00) Intro(02:41) The future of AI in marketing(04:22) Using Granola and custom GPTs to write case studies(12:10) Generating tweet threads using ChatGPT(13:58) Building case studies into a systematic workflow(15:14) Best practices for prompt engineering(19:39) Building a custom translation system that saved $140k(25:10) Open sourcing the translation solution(29:47) Building a WhatsApp MCP(38:07) Creating specialized AI agents on demand(41:08) Lightning round and final thoughts—Tools referenced:• Granola: https://www.granola.ai/• ChatGPT: https://chat.openai.com/• Cursor: https://www.cursor.com/• Claude: https://claude.ai/• ElevenLabs: https://elevenlabs.io/• WhatsApp: https://www.whatsapp.com/• GitHub: https://github.com/• Zapier: https://zapier.com/• Calendly: https://calendly.com/• Salesforce: https://www.salesforce.com/—Other references:• MCP (Model Context Protocol): https://www.anthropic.com/news/model-context-protocol• WhatsApp MCP repo: https://github.com/lharries/whatsapp-mcp• Whatsmeow library: https://github.com/tulir/whatsmeow• LaunchDarkly: https://launchdarkly.com/• Introducing ElevenLabs MCP: https://elevenlabs.io/blog/introducing-elevenlabs-mcp• Ordering a pizza using the ElevenLabs MCP server: https://x.com/elevenlabsio/status/1909300782673101265• Chess.com: https://www.chess.com/• Lovable: https://lovable.ai/• v0: https://v0.dev/• Figma: https://www.figma.com/• Launch and launch again — how to launch your products: https://harries.co/launch-your-product• Your first growth hire: https://harries.co/first-growth-hire—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].

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• A 3-step AI coding workflow for solo founders | Ryan Carson (5x founder)

  Ryan Carson is a five-time founder who has spent the past 20 years building, scaling, and selling startups. In this episode, he shares his playbook for using AI to build products, turning “vibe coding” into a structured and scalable approach that can replace full engineering teams.What you’ll learn:1. A simple three-file system that transforms chaotic AI coding into a structured, reliable process2. How to create AI-generated PRDs and task lists that actually work3. A step-by-step workflow using Cursor to build features systematically4. Why slowing down to provide proper context is the secret to speeding up your AI development5. How to use model context protocols (MCPs) to extend your AI’s capabilities beyond just coding6. Why founders can now build entire companies with minimal engineering teams and how Ryan is doing it himself—Brought to you by:ChatPRD—An AI copilot for PMs and their teamsNotion—The best AI tools for work—Where to find Ryan Carson:Website: https://www.ryancarson.com/aboutLinkedIn: https://www.linkedin.com/in/ryancarson/X: https://x.com/ryancarson—Where to find Claire Vo:ChatPRD: https://www.chatprd.ai/Website: https://clairevo.com/LinkedIn: https://www.linkedin.com/in/clairevo/X: https://x.com/clairevo—In this episode, we cover:(00:00) Introduction and Ryan’s recent AI projects(03:25) Demo: Creating a PRD with Cursor(05:00) Ryan’s open source links: https://github.com/snarktank/ai-dev-tasks(09:23) Repo Prompt: https://repoprompt.com/(09:53) Quick recap and common mistakes to avoid(11:00) Demo: Generating a task list from the PRD(15:31) The importance of context when working with LLMs(18:07) Demo: Working through tasks systematically using Cursor(18:56) Change management(20:00) How task lists save time for product managers(21:50) Demo: Using MCPs for front-end testing(24:50) Specific MCPs and what to use them for(26:45) Demo: Using Repo Prompt to gain precise control over context(31:23) Music’s role in Ryan’s development stack(32:10) Lightning round and final thoughts—Tools referenced:• ChatGPT: https://chat.openai.com/• Claude: https://claude.ai/• Gemini 2.5 Pro: https://deepmind.google/models/gemini/pro/.• Repo Prompt: https://repoprompt.com/• Taskmaster: https://github.com/nooqta/taskmaster• Browserbase: https://browserbase.com/• Stagehand: https://docs.stagehand.dev/integrations/mcp-server—Other references:• PostgreSQL: https://www.postgresql.org/• Prisma: https://www.prisma.io/• SQL: https://www.sql.org/• MCP: https://www.anthropic.com/news/model-context-protocol• VS Code: https://code.visualstudio.com/—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].

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• How custom GPTs can make you a better manager | Hilary Gridley (Head of Core Product at Whoop)

  Hilary Gridley, Head of Core Product at Whoop, shares how she uses dozens of custom GPTs for her team that think and give feedback like her, allowing her to scale herself up and create time for higher-value work.What you’ll learn:1. A step-by-step process for creating GPTs that “think like you” by reverse engineering your own decision criteria2. How to turn your management expertise into clear evaluation rubrics that AI can consistently apply3. Practical techniques for improving team writing and presentations with AI-powered feedback4. Why GPTs are the perfect tool for scaling good management practices without requiring prompt engineering skills5. How to use AI to get invited to more strategic meetings by improving your written point of view—Brought to you by:Orkes—The enterprise platform for reliable applications and agentic workflowsVanta—Automate compliance and simplify security—Where to find Hilary Gridley:Newsletter: https://hils.substack.com/LinkedIn: https://www.linkedin.com/in/hilarygridley/X: https://x.com/yourgirlhils—Where to find Claire Vo:ChatPRD: https://www.chatprd.ai/Website: https://clairevo.com/LinkedIn: https://www.linkedin.com/in/clairevo/X: https://x.com/clairevo—In this episode, we cover:(00:00) Intro(02:52) Creating GPTs that think like you(04:23) Demo: Reverse engineering a recommendation algorithm(13:06) The value of articulating taste(15:33) Demo: Creating a slide deck evaluator GPT(19:19) Testing your new GPT(21:32) Scaling GPTs across your team(23:52) Demo: Using AI to improve your writing(30:32) Lightning round and final thoughts—Tools referenced:• GPTs: https://chat.openai.com/gpts• ChatGPT: https://chat.openai.com/• Claude: https://claude.ai/• Bolt: https://bolt.new/—Other references:• Whoop: https://www.whoop.com/• Norwegian School of Economics: https://www.nhh.no/en/• Researchers at NHH have uncovered significant gender disparities in the adoption of generative AI tools like ChatGPT: https://www.nhh.no/en/nhh-bulletin/article-archive/2024/september/study-reveals-gender-gap-in-ai-tool-usage-among-students/• How to Become a Supermanager with AI: https://maven.com/hilary-gridley/ai-powered-people-management• Girls in the Loop: https://grrlsintheloop.ai/—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].

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• A designer's guide to AI: Why designing in Cursor lets you prototype 10x faster, simplifies collaboration, and accelerates getting ideas out of your head | Joel Unger

  Joel Unger, design director at Atlassian, shares how AI is transforming the way he designs Trello and other products. He walks through real-world workflows using tools like Midjourney and Cursor to prototype complex interactions, re-create brand assets, and explore creative directions faster than ever. You’ll hear how AI is helping designers focus on higher-level thinking, communicate better with developers, and push creative boundaries—all without replacing the human touch.What you’ll learn:How to prototype complex UI interactions using AIA workflow for re-creating animated brand assets without motion design toolsHow to leverage image generation tools like Midjourney to explore design directions and create mood boardsHow to use Cursor to re-create animated SVG assetsWhy AI frees designers to operate at a higher level of creativityHow AI improves designer-developer collaboration by showcasing interactive intentWhy embracing AI is key to staying ahead in the evolving design landscapeThe limitations of current AI tools and where they still fall short—Brought to you by:• ⁠Paragon⁠—Ship every SaaS integration your customers want⁠• WorkOS⁠—Make your app enterprise-ready today—Where to find Joel Unger:Website: https://joelunger.com/LinkedIn: https://www.linkedin.com/in/joelunger/—Where to find Claire Vo:ChatPRD: https://www.chatprd.ai/Website: https://clairevo.com/LinkedIn: https://www.linkedin.com/in/clairevo/X: https://x.com/clairevo—In this episode, we cover:(00:00) Intro and Joel's background(02:46) Trello's new productivity features(04:24) Traditional design process limitations in Figma(05:22) Using Cursor to prototype interactive panel systems(07:39) From prototype to production: collaborating with developers(08:52) How Joel used AI to prepare for the podcast(10:50) How AI saves designer time for deeper thinking(11:23) Last-minute logo animation using Cursor(13:50) Using Midjourney for character design exploration(14:56) Creating a mood board for Taco: the Trello husky mascot(16:49) How AI is changing design thinking and workflows(18:18) Lightning round and closing thoughts—Tools referenced:• Confluence: https://www.atlassian.com/software/confluence• Bitbucket: https://bitbucket.org/product/• Trello: https://trello.com/home• Figma: https://www.figma.com• Cursor: https://www.cursor.com/• ChatGPT: https://chatgpt.com/• Midjourney: https://www.midjourney.com/—Other reference:• Atlassian: https://www.atlassian.com/—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].

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• Vibe coding a 3D multiplayer game in 15 minutes—with no game dev experience | Cody De Arkland (Senior Director of Developer Experience at Sentry)

  Cody De Arkland is the senior director of developer experience at Sentry, leading a team that empowers developers to build and ship software with greater safety and efficiency. Watch him speed-run the creation of a 3D multiplayer flight simulator—from scratch—in just 15 minutes, demonstrating the power (and creativity) that vibe coding enables.What you’ll learn:• How to approach building complex applications with AI by starting broad and iterating on specific features• The process of using multiple AI coding assistants simultaneously to build different components• Techniques for learning new technologies and frameworks through AI-assisted exploration• How to troubleshoot and fix issues when AI implementations don’t work as expected• The parallels between building fun projects and enterprise software with AI assistance• Strategies for keeping AI tools focused when they go off track or add unwanted features• The incredible velocity and productivity gains possible with modern AI coding tools• How anyone can now build sophisticated applications with minimal prior experience—Brought to you by:⁠Enterpret⁠—Customer superintelligence platform for product and CX teams⁠WorkOS⁠—Make your app enterprise-ready today with WorkOS—Where to find Cody De Arkland:Website: https://codyde.io/LinkedIn: https://www.linkedin.com/in/codydearkland/X: https://x.com/CodydearklandGitHub: https://github.com/codyde—Where to find Claire Vo:ChatPRD: https://www.chatprd.ai/Website: https://clairevo.com/LinkedIn: https://www.linkedin.com/in/clairevo/X: https://x.com/clairevo—In this episode, we cover:(00:00) Introduction to Cody(02:45) AI tools he’s using(04:38) How Cody vibe coded a multiplayer game: Spaceflight(09:37) Demo: Starting a new flight simulator project from scratch(13:49) How to learn about libraries and technologies for projects(17:06) First run of the new flight simulator game(19:26) Using multiple AI coding assistants simultaneously(20:43) Unexpected features and visual improvements(21:26) Testing the multiplayer functionality(22:31) Reflecting on the development process and iteration(26:47) Lightning round and final thoughts—Tools referenced:• Cursor: https://www.cursor.com/• Windsurf: https://windsurf.com/• Claude: https://claude.ai/new• Bolt: https://bolt.new/• React: https://react.dev/• v0: https://v0.dev/—Other references:• Sentry: https://sentry.io/• MCP: https://www.anthropic.com/news/model-context-protocol• Spaceflight: http://spaceflight.gg/• Three.js: https://threejs.org/• Socket.io: https://socket.io/—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected]

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  31:32

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