Powered by RND

How I AI

Claire Vo
How I AI
Latest episode

Available Episodes

5 of 15
  • Successfully coding with AI in large enterprises: Centralized rules, workflows for tech debt, and training your team | Zach Davis (Director of Engineering at LaunchDarkly)
    Zach Davis is a product-minded engineering leader and builder at heart, with over 12 years of experience building high‑performing teams and crafting developer tools at companies like Atlassian and LaunchDarkly. In this episode, he shares how he’s helping his 100-plus-person engineering team successfully adopt AI tools by creating centralized documentation, using agents to tackle technical debt, and improving hiring processes—all while maintaining high quality standards in a mature codebase.What you’ll learn:1. How to create a centralized rules system that works across multiple AI tools instead of duplicating documentation2. A systematic approach to using AI agents like Devin and Cursor to analyze and reduce test noise in large codebases3. How to leverage AI tools to document your codebase more effectively by extracting knowledge from existing sources4. Why “what’s good for humans is also good for LLMs” should guide your documentation strategy5. A custom GPT workflow for improving interview feedback quality and coaching interviewers6. How to approach tech debt reduction with AI by creating prioritized task lists that both humans and AI agents can work from—Brought to you by:WorkOS—Make your app enterprise-ready todayLenny’s List on Maven—Hands-on AI education curated by Lenny and Claire—Where to find Zach Davis:LaunchDarkly: https://www.launchdarkly.comLinkedIn: https://www.linkedin.com/in/zach-davis-28207195/—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 Zach Davis(02:44) Overview of AI tools used at LaunchDarkly(04:00) The importance of having someone responsible for driving AI adoption(05:44) Why vibe coding isn’t acceptable for enterprise development(06:42) Making engineers successful with AI on their first attempt(07:55) Creating centralized documentation for both humans and AI agents(10:19) Using feature flagging rules to improve AI outputs(12:33) Advice for getting started with rules(14:28) Demo: Setting up Devin’s environment in a large codebase(24:33) Devin’s plan overview(27:55) Demo: Creating a prioritized tech debt reduction plan(36:40) Demo: Using AI to improve hiring processes and interview feedback(40:34) Summary of key approaches for integrating AI into engineering workflows(42:08) Lightning round and final thoughts—Tools referenced:• Cursor: https://www.cursor.com/• Devin: https://devin.ai/• ChatGPT: https://chat.openai.com/• Claude: https://claude.ai/• Windsurf: https://windsurf.com/• Lovable: https://lovable.dev/• v0: https://v0.dev/• ChatPRD: https://www.chatprd.ai/• Figma: https://www.figma.com/• GitHub Copilot: https://github.com/features/copilot—Other references:• Jest: https://jestjs.io/• Vitest: https://vitest.dev/• MCP: https://www.anthropic.com/news/model-context-protocol• Confluence: https://www.atlassian.com/software/confluence—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].
    --------  
    44:56
  • How this PM streamlines 60k-page FDA submissions and saves millions with Claude, Streamlit, and clever AI workflows | Prerna Kaul
    Prerna Kaul is a product and platform leader who has spent over 14 years turning machine-learning research into consumer and B2B products at Amazon Alexa, AGI, Moderna, and now Panasonic Well. In today’s episode, she explains how she’s using AI to slash some of the most time-consuming, expensive tasks in life sciences—from generating 60,000-page FDA submissions to crafting communication frameworks that help product managers navigate complex stakeholder dynamics. Her innovations are saving millions of dollars and helping lifesaving treatments reach the market faster.What you’ll learn:How Prerna built an AI system that automates the creation of 60,000-page regulatory documents for the FDA—reducing a process that took 4 to 6 months and 20 specialists to just minutesA step-by-step system for detecting and redacting PHI (protected health information) in clinical trial data using ClaudeHow to build user-friendly interfaces for non-technical colleagues using Streamlit to democratize AI toolsHow to use Claude’s prompt generator to create powerful communication frameworks that help PMs navigate complex stakeholder situationsWhy transparency about AI costs is crucial for gaining organizational buy-in and tracking ROIA practical framework for approaching AI safety and ethics in highly regulated industries—Brought to you by:CodeRabbit—Cut code review time and bugs in half. Instantly: https://lovable.dev/Lovable—Build apps by simply chatting with AI: https://lovable.dev/—Where to find Prerna Kaul:LinkedIn: https://www.linkedin.com/in/prernakkaul/—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 Prerna(03:01) The FDA submission challenge: 60,000 pages, months of work, millions in costs(05:20) Getting started in Claude: from prompt to production-ready prototype(10:13) How Claude selected the right models for medical entity recognition(12:04) Using Streamlit to create accessible UIs for non-technical users(16:04) Detecting and redacting PHI in unstructured clinical notes(18:44) Generating the Common Technical Document (CTD) for FDA submission(21:54) Tracking and displaying AI operation costs for stakeholder buy-in(24:38) Real-world impact on vaccine development timelines and costs(26:12) Creating an AI communication coach for product managers(30:22) Training Claude on classic literature and persuasion techniques(31:53) Analyzing a complex stakeholder scenario with multiple competing priorities(34:40) Getting personalized communication strategies inspired by tech leaders(35:40) Summarizing strategic approaches(38:26) Conclusion and final thoughts—Tools referenced:• Claude: https://claude.ai/• Streamlit: https://streamlit.io/• Anthropic Console: https://console.anthropic.com/• Claude Sonnet 4: https://www.anthropic.com/claude/sonnet—Other references:• Claude project chat (AI Product Management Stakeholder Challenges): https://claude.ai/share/caba4ab0-b28a-480c-8633-71920b12999e• XML: ⁠https://www.w3.org/XML/⁠• Python: ⁠https://www.python.org/⁠• RegEx: ⁠https://regex101.com/• Moderna: https://www.modernatx.com/• FDA: https://www.fda.gov/• Project Gutenberg: https://www.gutenberg.org/• FDA Biologics License Application: https://www.fda.gov/vaccines-blood-biologics/development-approval-process-cber/biologics-license-applications-bla-process-cber• Protected health information (PHI): https://www.hhs.gov/hipaa/for-professionals/privacy/laws-regulations/index.html—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].
    --------  
    45:12
  • Mastering ChatGPT: Advanced techniques for workplace communication and productivity | Hiten Shah
    Hiten Shah is a serial founder who has started several analytics and security companies, including Crazy Egg and KISSmetrics. The latest one, Nira, was acquired by Dropbox in 2024. In this episode, he shares how he turns ChatGPT from a simple chatbot into a personal workplace coach, sales strategist, and productivity multiplier.What you’ll learn:How to create AI versions of your boss by loading operating manuals and personality tests into ChatGPT projectsA simple approach for turning sales frameworks into customized discovery call scripts for any productWhy context is everything—and how to load ChatGPT with the right information before asking for outputsThe “show it what great looks like” technique that dramatically improves AI responsesHow to build a personal AI coach using your own personality assessments and communication styleWhy you should use temporary sessions for random queries to keep your main ChatGPT memory clean—Brought to you by:Paragon—Ship every SaaS integration your customers wantNotion—The best AI tools for work—Where to find Hiten Shah:Blog: https://hitenism.com/X: https://twitter.com/hnshahLinkedIn: https://www.linkedin.com/in/hnshah/—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 Hiten(02:55) Why Hiten primarily uses ChatGPT(04:12) The importance of context and memory management(07:58) Demo: Creating “What Would Morgan Do” project(13:30) Using personality types to improve AI coaching(16:20) Building a personal operating system in ChatGPT(20:55) Mixing structured frameworks and personal context(23:20) Demo: Winning by Design sales framework implementation(30:00) Creating discovery call scripts(31:44) Using ChatGPT’s deep research feature to understand Claire’s leadership style(36:30) Lightning round and final thoughts—Tools referenced:• ChatGPT: https://chat.openai.com/• Claude: https://claude.ai/—Other references:• Hiten's Google Doc: https://docs.google.com/document/d/1j15hoR3qZLQMJuW-mtfYFyhXM0CpYHQkZJuUgqHBsZs/edit?tab=t.0• Winning by Design: https://winningbydesign.com/• Enneagram: https://www.enneagraminstitute.com/• Human Design: https://humandesign.tools/• Myers-Briggs: https://www.myersbriggs.org/• DISC: https://www.discprofile.com/• Lex: https://lex.page/• The Lean Startup: https://theleanstartup.com/• Sean Ellis score: https://pmfsurvey.com/—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].
    --------  
    42:53
  • How to build prototypes that actually look like your product | Colin Matthews (Product leader, AI prototyping instructor at Maven)
    Colin Matthews is a product manager, founder, and hobbyist engineer. After spending the past eight years in healthtech, he recently left his role as a PM at Datavant to go full-time on building his own products. He is currently a top Maven instructor, helping PMs build their first AI prototype. In this episode, he shares a step-by-step workflow for creating component libraries from screenshots that stay true to your brand and reveals a clever Chrome extension trick for extracting code from any website to build reusable components.What you’ll learn:1. How to create component libraries from screenshots that match your brand’s design system2. A Chrome extension that can extract components directly from any website with a single click3. Why forking prototypes is the key to efficient iteration without breaking your baseline4. The structured prompting technique that makes AI tools actually listen to your instructions5. How to introduce AI prototyping to your team without stepping on designers’ toes6. The debugging approach that solves 90% of AI prototyping errors—Brought to you by:WorkOS—Make your app enterprise-ready todayNotion—The best AI tools for work —Go deeper with Colin’s in-depth post in Lenny’s Newsletter:https://www.lennysnewsletter.com/p/how-to-get-your-entire-team-prototyping—Where to find Colin Matthews:LinkedIn: https://www.linkedin.com/in/colinmatthews-pm/Tech For Product newsletter: https://colinmatthews.substack.com/Tech For Product one-day team workshop: https://teams.techforproduct.com/Maven course: AI Prototyping for PMs: https://bit.ly/3FQgZmw—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 Colin Matthews(02:46) Creating component libraries from screenshots in v0(05:50) Using prompts to extract components from existing products(06:31) Building an Airbnb prototype from component libraries(11:36) Using the Magic Patterns Chrome extension to extract components directly from websites(18:38) The importance of improving components rather than the composed application(20:15) Using forks and versions for iterative prototyping(25:05) Managing team dynamics when introducing AI prototyping(26:54) Final thoughts—Tools referenced:• v0: https://v0.dev/• Magic Patterns: https://magicpatterns.com/• Magic Patterns Chrome Extension: https://chromewebstore.google.com/detail/html-to-react-figma-by-ma/chgehghmhgihgmpmdjpolhkcnhkokdfp?hl=en• Cursor: https://cursor.sh/• ChatGPT: https://chat.openai.com/• Bolt: https://bolt.new/—Other references:• Colin’s AI prototyping prompt library: https://technical-foundations.notion.site/16c8fafdb669800ea6eeca11f40d046c?v=16c8fafdb6698069a6e4000c84a9ff2c• Airbnb: https://www.airbnb.com/• Notion: https://www.notion.so/• Amplitude: https://amplitude.com/• PostHog: https://posthog.com/• Figma: https://www.figma.com/• GitHub: https://github.com/—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].
    --------  
    32:07
  • How a 91-year-old vibe coded a complex event management system using Claude and Replit | John Blackman
    John Blackman, a 91-year-old retired electrical engineer, shares how he used Claude and Replit to build a complex application for his church’s community service events—with no prior software development experience and for less than $350. His app allows event organizers to create events, recruit volunteers, and manage sign-ups, with a standout feature for organizing free oil changes for participants.What you’ll learn:How John used Claude to create detailed product requirements and user storiesJohn’s philosophy on embracing new technology throughout his careerThe exact process for integrating third-party APIs (like VIN lookup for oil changes) with minimal technical knowledgeHow he automated report generation for volunteer management and resource planningHow the software generates personalized Impact Passports for event participantsWhy letting AI build without preconceived notions of “correct” implementation can lead to faster, more functional resultsHow to troubleshoot common development-to-production issues when working with AI coding tools—Brought to you by:WorkOS—Make your app enterprise-ready todayOrkes—The enterprise platform for reliable applications and agentic workflows—Where to find John Blackman:Website: http://johnbeng.com/—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 John Blackman and his background(02:55) John’s impressive career(03:59) How the church project started(05:06) Using Claude to create a development roadmap and requirements document(07:29) The concept of the Impact Passport for event participants(08:57) Generating user stories and requirements with Claude(10:32) The multi-tenant architecture with system and local church administrators(12:54) Building the application with Replit(13:32) Demo of the administrator interface and event management features(17:56) Specialized reports for different services (food pantry, vision center, oil changes)(20:30) The participant registration flow with QR code scanning(21:55) Adding new features like volunteer name tag generation(24:40) Troubleshooting AI “rabbit trails” during development(26:09) Challenges moving from development to production(27:13) John’s lack of coding experience(29:42) The advantage of having no preconceived notions about implementation(30:25) Total development costs and timeline(31:31) Impact and reception from the church community(32:42) Lightning round and final thoughts—Tools referenced:• Claude: https://claude.ai/• Replit: https://replit.com/• SendGrid: https://sendgrid.com/• AutoCAD: https://www.autodesk.com/products/autocad/—Other references:• OpenAI API: https://openai.com/api/• VIN (vehicle identification number): https://en.wikipedia.org/wiki/Vehicle_identification_number• Multi-tenant architecture: https://en.wikipedia.org/wiki/Multitenancy• Role-based access control: https://en.wikipedia.org/wiki/Role-based_access_control• Excel: https://www.microsoft.com/en-us/microsoft-365/excel• Docusign: https://www.docusign.com/—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].
    --------  
    40:28

More Technology podcasts

About How I AI

How I AI, hosted by Claire Vo, is for anyone wondering how to actually use these magical new tools to improve the quality and efficiency of their work. In each episode, guests will share a specific, practical, and impactful way they’ve learned to use AI in their work or life. Expect 30-minute episodes, live screen sharing, and tips/tricks/workflows you can copy immediately. If you want to demystify AI and learn the skills you need to thrive in this new world, this podcast is for you.
Podcast website

Listen to How I AI, Darknet Diaries and many other podcasts from around the world with the radio.net app

Get the free radio.net app

  • Stations and podcasts to bookmark
  • Stream via Wi-Fi or Bluetooth
  • Supports Carplay & Android Auto
  • Many other app features
Social
v7.21.2 | © 2007-2025 radio.de GmbH
Generated: 7/22/2025 - 1:59:20 PM