The Growth Podcast

Mike Bal, Head of Product at David's Bridal leading a large digital transformation, builds AI-native product workflows. He explains replacing 20-tool chaos with a single interface using Cursor and Claude Desktop. He demos Model Context Protocol integrations, rapid design vs requirement checks, Manus for traceable research, and smooth prototype-to-code flows.

Naman Pandey, AI product practitioner and podcaster (Ready Set Do), has hands-on experience testing AI agentic browsers. He compares ChatGPT Atlas, Perplexity Comet, and Arc Dia. Expect demos of research, scraping, form-fills, price checks, and workflow automations. He highlights strengths, weaknesses, install steps, and practical PM use cases in short, demo-driven segments.

This is a free preview of a paid episode. To hear more, visit www.news.aakashg.comToday’s EpisodeWhen you first start using AI prototyping tools, you get wowed.You type “create me a CRM application” and boom a fully functioning app appears in 60 seconds.But here’s the problem.It looks generic. The styling is basic. The features are vanilla. You’d never ship this to customers.This is AI slop.Sachin Rekhi was the former Head of Product at LinkedIn Sales Navigator. He’s now teaching thousands of PMs at Reforge how to master AI prototyping.----Brought to you by - Reforge:Get 1 month free of Reforge Build (the AI prototyping tool built for PMs) with code BUILD----Key Takeaways:1. Product shaping changes everything - Anthropic builds multiple prototypes for every problem, launches internally, sees what people use, then productionizes winners. This used to only be possible at Apple with massive labs.2. AI slop is real - Type "create a CRM" and you get generic styling, vanilla features, basic scenarios. Looks magical but you'd never ship it. The challenge is going from slop to production-grade prototypes.3. The 15-skill mastery ladder - Apprentice level: prompting, editing, design consistency. Journeyman: versioning, debugging, diverging. Master: functional prototyping, product shaping, analytics integration.4. Design consistency starts with baselining - Take screenshot of your product. Recreate it. Iterate until perfect. Save as template. Now every prototype inherits your design system automatically.5. Diverging is the secret weapon - Generate 4 design variants instead of 1. Magic Patterns has this built in. Or use multiple tools to get 8 options. Evaluate alternatives like designers do.6. Functional prototypes unlock real validation - Integrate OpenAI API for actual responses. Add PostHog for session recordings and heatmaps. Build surveys. Track clicks. Test with real data, not mockups.7. The tools face-off: which to actually use - Bolt for speed. V0 for beautiful UIs. Replit for full-stack. Magic Patterns for product teams with diverging. Reforge Build for context integration. Cursor for technical PMs.8. The $5/month unlimited execution hack - Host n8n on Hostinger instead of paying per execution. Get unlimited runs. Build workflow that backs up to Google Drive for version history.9. PMs can build what used to require engineering - Calendar integration. Email agents. Analytics dashboards. Multi-model comparison. Survey collection. All from prompts. No code required.10. Traditional workflows beat agents for production - Workflows save tokens, run faster, and are more reliable. Use agents only when tasks need real decision-making. For known processes, use workflows.----Where to Find Sachin* LinkedIn* Newseltter* X* Youtube* Reforge cources----Related ContentNewsletters:* AI Product Strategy* How to Build AI Products* AI Prototype to Production* AI Prototyping Tutorial* Product Requirements DocumentsPodcasts:* AI Prototyping for PMs* How to Become an AI PM* Everything You Need to Know About AI----PS. Please subscribe on YouTube and follow on Apple & Spotify. It helps!If you want to advertise, email productgrowthppp at gmail.

Colin Matthews, an AI product builder and prototyping expert, joins to discuss the future of ChatGPT apps. He explains how these apps could revolutionize user interaction by embedding branded solutions directly into chats. Colin highlights the benefits of integrated distribution compared to traditional app stores and explores various consumer use cases, from to-do lists to healthcare tools. He also emphasizes the importance of app testing, metadata optimization, and team structure for success in this emerging landscape.

Hamel Husain and Shreya Shankar, experienced instructors in AI evals, share their expertise on building reliable production AI. They discuss the critical importance of systematic evaluations over simple demos, emphasizing real-world error analysis. Listeners learn about analyzing real traces, identifying UX failures, and refining categories for actionable insights. The duo highlights the need for tailored evaluations and proper validations, advocating for structured methodologies that prioritize high-impact issues. This engaging tutorial is a must for aspiring PMs in AI.

Carl Vellotti, a seasoned product manager and AI practitioner, shares insights from his daily use of Claude Code, which recently reached a groundbreaking $1 billion ARR in just six months. He explains how Model Context Protocols (MCPs) can seamlessly connect Claude to various tools like Google Workspace and Slack. Carl emphasizes the importance of building reusable workflows and the power of automation to enhance productivity. He also discusses how to create and manage tasks effectively, making every interaction in Claude more impactful.

Marily Nika, an AI product manager at Google with over a decade of experience, shares her essential toolkit for aspiring AIPMs. Discover her six must-have tools, including Google AI Studio for rapid prototyping and Opal for quick mini apps. She emphasizes the importance of prototyping before writing PRDs and reveals tips for using custom GPTs effectively. Marily also discusses interview red flags for candidates and the evolving role of AI in product management, highlighting the necessity of AI literacy for future PMs.

Pawel Huryn, a leading expert in product and AI workflow automation, returns to share his insights on the powerful tool, n8n. He discusses its unique ability to combine traditional automation with AI agent creation. Pawel details practical applications, from chatbots to advanced competitor monitoring workflows, demonstrating real-time builds and cost-effective setups. He emphasizes best practices, the importance of choosing between workflows and agents, and shares top automation tips for product managers. It's a treasure trove of knowledge for enhancing productivity!

Laura Burkhauser, former IC product manager turned CEO of Descript, shares her remarkable journey in AI product development. She reveals how she mapped user pain points to innovate AI features like Remove Retakes. Laura emphasizes the importance of prepackaged tools over blank chat interfaces for user reliability. She discusses using real customer data for evaluations and how export rates signal feature success. Her advice on building relationships and trust with founders is equally insightful as she reflects on her rapid career ascent.

This discussion features Carl Vellotti, a full-stack product manager and prototyping expert with a knack for developer tooling. He dives into the potent capabilities of ChatGPT Codex versus Claude Code. Carl breaks down how non-technical PMs can get started with Codex CLI and offers practical tips on using it for documentation, meetings, and prototyping. He shares hands-on demonstrations of integrating Codex in IDEs and how to streamline workflows using templates, voice dictation, and Socratic questioning for effective PRDs.