How I AI

Claire Vo

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.

  1. Zapier’s CEO shares his personal AI stack | Wade Foster

    1 DAY AGO

    Zapier’s CEO shares his personal AI stack | Wade Foster

    Wade Foster is the co-founder and CEO of Zapier. In this episode, Wade shows how he uses meeting transcripts, Zapier agents, and even Grok to analyze company culture, evaluate interview candidates, and source talent from unexpected places. He explains why CEOs need to lead by example when it comes to AI adoption and shares practical workflows that any executive can implement to make hiring more effective and efficient. What you’ll learn: How to use meeting transcripts to extract your company’s “unspoken culture” and compare it against your stated valuesA workflow for creating AI interview evaluators that assess candidates against your job descriptions and company valuesHow to use Zapier agents to provide objective feedback on candidate interviews while checking your own biasesWhy CEOs should participate in AI “hackathons” and “show and tells” rather than just delegating AI adoptionA surprising technique for using Grok to find “diamonds in the rough” talent outside traditional recruiting channelsHow AI enables companies to complete tasks that were previously not economically viable— This entire episode is brought to you by: Brex—The intelligent finance platform built for founders — In this episode, we cover: (00:00) Introduction to Wade Foster (02:32) Zapier’s AI adoption (06:50) Creating AI fluency rubrics (08:37) Using Granola to extract company culture from meeting transcripts (10:49) Practical use cases for company culture rubrics (13:38) Building an AI interview evaluation agent in Zapier (16:50) Using Copilot to improve agent prompts (18:49) Ideas for enhancing the interview agent (22:31) Mistakes people make when using agents (25:11) Using Grok to find talent on social media platforms (33:39) Recap of AI workflows for recruiting and hiring (34:40) Lightning round and final thoughts — Tools referenced: • Zapier: https://zapier.com/ • Zapier Agents: https://zapier.com/agents • Granola: https://granola.ai/ • Grok: https://grok.x.ai/ • ChatGPT: https://chat.openai.com/ • Copilot: https://copilot.microsoft.com/ — Other references: • Zapier values: https://zapier.com/about • How Zapier’s EA built an army of AI interns to automate meeting prep, strengthen team culture, and scale internal alignment | Cortney Hickey: https://www.lennysnewsletter.com/p/how-zapiers-ea-built-an-army-of-ai • How this CEO turned 25,000 hours of sales calls into a self-learning go-to-market engine | Matt Britton (Suzy): https://www.lennysnewsletter.com/p/how-this-ceo-turned-25000-hours-of — Where to find Wade Foster: Zapier: https://zapier.com/ LinkedIn: https://www.linkedin.com/in/wadefoster/ X: https://twitter.com/wadefoster — 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 — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email jordan@penname.co.

    41 min

  2. 29/12/2025

    How Webflow’s CPO built an AI chief of staff to manage her calendar, prep for meetings, and drive AI adoption | Rachel Wolan

    Rachel Wolan, the chief product officer at Webflow, has embraced AI not just as a product leader but as a hands-on builder. A coder since age 16, Rachel has returned to her technical roots by creating a custom AI chief-of-staff application that helps manage her executive workload. In this episode, she demonstrates how she uses personal AI software to prep for meetings, triage her calendar, manage emails, and even get brutally honest feedback about how she’s spending her time. What you’ll learn: How Rachel built a custom AI chief-of-staff application that integrates with her calendar, email, and moreWhy building personal software can be a gateway to understanding AI’s capabilities for executivesHow her AI agents help her prep for podcasts, dinners, and meetings with just-in-time informationThe technical approach to building personal AI software using markdown files, API tokens, and multiple LLM interfacesHow Rachel organized company-wide “builder days” that dramatically increased AI tool adoption across her organizationWhy she believes executives must lead by example in AI adoption to authentically drive organizational change— Brought to you by: Graphite—Your AI code review platform Atlassian for Startups —From MVP to IPO — In this episode, we cover: (00:00) Introduction to Rachel Wolan (02:26) Why Rachel started leaning into AI (06:26) Building an AI chief of staff (08:17) Prepping for the podcast (10:00) Rachel’s morning flow with her AI chief of staff (14:14) Designing a personalized interface with custom note cards (16:34) Getting “brutal truth” feedback from your AI assistant (19:34) Email triage and management workflows (23:31) Prepping for networking dinners and events (28:18) The result of building an AI chief of staff (30:09) Organizing “builder days” to drive AI adoption (35:38) Measuring the impact of AI adoption initiatives (38:00) Lightning round and final thoughts — Tools referenced: • Claude: https://claude.ai/ • Claude Code: https://claude.ai/code • Cursor: https://cursor.com/ • Google Calendar API: https://developers.google.com/calendar • Gmail API: https://developers.google.com/gmail • Webflow: https://webflow.com/ • Figma: https://www.figma.com/ • Make: https://www.make.com/ • Hex: https://hex.tech/ — Where to find Rachel Wolan: LinkedIn: https://www.linkedin.com/in/rachelwolan/ X: https://x.com/rachelwolan Webflow: https://webflow.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 — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email jordan@penname.co.

    44 min
  3. How to get your whole team excited about AI (and actually using it) | Brian Greenbaum (product designer at Pendo)

    22/12/2025

    How to get your whole team excited about AI (and actually using it) | Brian Greenbaum (product designer at Pendo)

    Brian Greenbaum is a Senior Staff Product Designer at Pendo who led a company-wide AI transformation after a personal epiphany while on paternity leave. After experiencing the power of AI coding tools firsthand, he created a structured approach to help his entire product organization adopt AI. In this episode, Brian shares his complete playbook for driving AI adoption across teams, measuring success, and navigating the organizational challenges that come with new technology adoption. What you’ll learn: The exact Slack message Brian sent while on paternity leave that kickstarted his company’s AI transformationHow to structure both synchronous and asynchronous AI learning opportunities for maximum adoptionThe two-pronged approach that dramatically increased AI tool usage across teamsWhy becoming your company’s AI champion is one of the best career moves you can make right nowHow to measure AI adoption success with sentiment surveys and clear metricsThe critical role of creating a “golden path” for AI tool usage with legal, security, and finance teams— Brought to you by: Google Gemini—Your everyday AI assistant Lovable—Build apps by simply chatting with AI — In this episode, we cover: (00:00) Introduction to Brian Greenbaum (01:38) Brian’s paternity leave epiphany that sparked an AI initiative (05:00) Sending the message that launched a transformation (12:25) The two-pronged approach: synchronous and asynchronous learning (17:29) Encouraging experimentation and creative exploration (18:41) How AI enables designers to move beyond MVP thinking (22:00) Quick summary of the two-pronged approach (24:43) Measuring AI adoption (33:48) Creating a centralized AI knowledge center (35:58) Building an MCP server to demonstrate AI’s potential (44:08) Why technical understanding is crucial for non-technical roles (46:01) Final thoughts — Tools referenced: • Cursor: https://cursor.com/ • Bolt.new: https://bolt.new/ • Claude: https://claude.ai/ • ChatGPT: https://chat.openai.com/ • Midjourney: https://www.midjourney.com/ • Gemini: https://gemini.google.com/ — Other references: • Pendo: https://www.pendo.io/ • Confluence: https://www.atlassian.com/software/confluence • Slack: https://slack.com/ — Where to find Brian Greenbaum: LinkedIn: https://www.linkedin.com/in/briangreenbaum/ — 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 — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email jordan@penname.co.

    48 min
  4. How Zapier’s EA built an army of AI interns to automate meeting prep, strengthen team culture, and scale internal alignment | Cortney Hickey

    15/12/2025

    How Zapier’s EA built an army of AI interns to automate meeting prep, strengthen team culture, and scale internal alignment | Cortney Hickey

    Cortney Hickey is the executive assistant to the CEO at Zapier, where she’s leveraging AI to transform traditional EA responsibilities into scalable, organization-wide systems. In this episode, she demonstrates how she’s built AI workflows that automate meeting preparation, reinforce company culture through automated feedback, and democratize strategic knowledge across the organization. Her approach shows how EAs can use AI not to replace their roles but to elevate them—working on higher-impact initiatives while creating systems that benefit the entire company. What you’ll learn: How to build an automated meeting prep system that researches participants, checks CRM data, and delivers actionable insights before important meetingsA framework for creating AI-powered culture reinforcement through automated meeting feedback aligned with company values and operating principlesHow to develop an AI-powered document review system that helps teams align with executive expectations before formal reviewsA strategy for creating a centralized knowledge base that makes company strategy accessible and interactive for all employeesWhy “progress over perfection” is the key mindset for building effective AI workflows that evolve over timeHow EAs can use AI automation to work themselves out of repetitive tasks and into higher-impact strategic roles— Brought to you by: WorkOS—Make your app enterprise-ready today Brex—The intelligent finance platform built for founders — In this episode, we cover: (00:00) Introduction to Cortney (02:48) Overview of meeting prep automation with Zapier Agents (04:43) How the meeting prep agent works (10:21) An example of the meeting prep agent in practice (12:16) Creating a culture reinforcement system through meeting feedback (15:45) EAs’ unique position to leverage these tools (18:12) Building an automated meeting coach (24:03) Developing an executive document review system (33:15) Creating a centralized strategy companion in NotebookLM (36:18) How AI is transforming the EA role, not replacing it (40:00) Lightning round and final thoughts — Tools referenced: • Zapier: https://zapier.com/ • Zapier Agents: https://zapier.com/agents • Todoist: https://todoist.com/ • Slack: https://slack.com/ • HubSpot: https://www.hubspot.com/ • ChatGPT: https://chat.openai.com/ • Google NotebookLM: https://notebooklm.google/ — Where to find Cortney Hickey: LinkedIn: https://www.linkedin.com/in/cortneyhickey/ — 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 — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email jordan@penname.co.

    45 min
  5. ChatGPT agent mode: The “little helper” that transformed recruiting, crafted user personas, and solved parking nightmares | Michal Peled (Honeybook)

    08/12/2025

    ChatGPT agent mode: The “little helper” that transformed recruiting, crafted user personas, and solved parking nightmares | Michal Peled (Honeybook)

    Michal Peled is a Technical Operations Engineer at HoneyBook who specializes in building internal tools and automations that eliminate friction for teams. In this episode, Michal demonstrates three practical AI use cases: using ChatGPT’s agent mode to automate LinkedIn recruiting, transforming customer research into interactive AI personas, and creating a custom calendar solution for a very San Francisco–specific problem—avoiding expensive parking during Giants games. What you’ll learn: How to use ChatGPT agent mode to automate LinkedIn recruiting and find high-quality candidates that manual searches missedThe step-by-step process for turning static customer research into interactive AI personas that product and marketing teams can actually useWhy NotebookLM excels at creating prompts from source material with proper citationsHow to structure agent-mode prompts to create effective “little helpers” that follow your exact workflowA practical framework for improving your prompts when AI tools aren’t giving you the results you wantHow internal tools teams can drive massive impact by focusing on eliminating friction in everyday workflows— Brought to you by: Brex—The intelligent finance platform built for founders Google Gemini—Your everyday AI assistant — In this episode, we cover: (00:00) Introduction to Michal and ChatGPT agent mode (02:10) Using agent mode for LinkedIn recruiting automation (05:14) Creating effective prompts for agent mode (10:50) Demo of agent mode searching LinkedIn profiles (16:29) Results and team reception of the recruiting automation (19:53) The outcome of implementing on Michal’s team (23:50) Creating custom GPT personas from customer research (28:43) Using NotebookLM to transform research into persona prompts (35:00) Adding guardrails to custom GPT personas (37:20) Demo of interacting with custom-persona GPTs (41:02) Creating a calendar automation for parking during baseball games (48:15) Lightning round and final thoughts — Tools referenced: • ChatGPT: https://chat.openai.com/ • NotebookLM: https://notebooklm.google.com/ • Claude: https://claude.ai/ — Other references: • Google Calendar: https://calendar.google.com/ • HoneyBook: https://www.honeybook.com/ • LinkedIn: https://www.linkedin.com/ — Where to find Michal Peled: LinkedIn: https://www.linkedin.com/in/michalpeled/ — 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 — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email jordan@penname.co.

    59 min
  6. Gemini 3 vs. Claude Opus 4.5 vs. GPT-5.1 Codex: Which AI model is the best designer?

    03/12/2025

    Gemini 3 vs. Claude Opus 4.5 vs. GPT-5.1 Codex: Which AI model is the best designer?

    I put three cutting-edge AI models to the test in a head-to-head design competition. Using the exact same prompt, I challenged Google’s Gemini 3, Anthropic’s Opus 4.5, and OpenAI’s Codex 5.1 to redesign my blog page, evaluating them on visual design quality, user experience improvements, and SEO optimization capabilities. One model produced a beautiful, polished, production-ready redesign. One was fine. And one completely whiffed. If you’re trying to figure out where each model fits in your workflow—design, planning, back-end, or something else—this episode will save you a lot of trial and error. What you’ll learn: How each AI model approaches the same design challenge differentlyWhy planning capabilities dramatically impact design qualityThe specific visual and functional improvements each model madeWhich model excels at front-end design versus back-end functionalityHow to strategically choose the right AI model for different parts of your workflowThe importance of model-switching based on specific use cases— Blog design: https://www.chatprd.ai/blog — Brought to you by: Lovable—Build apps by simply chatting with AI — 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 the AI design challenge (01:25) The question: Which model is the better designer? (03:08) The prompt used for all three models (04:10) Gemini 3 Pro’s approach and results (06:00) Opus 4.5’s approach and results (10:54) Codex 5.1’s approach and disappointing results (14:51) Comparing the three designs side by side (16:03) Analyzing the change logs and SEO improvements from each model (22:43) Final verdict (23:00) Conclusion and next steps — Tools referenced: • Gemini 3 Pro: https://deepmind.google/models/gemini/pro/ • Anthropic Opus 4.5: https://www.anthropic.com/news/claude-opus-4-5 • OpenAI Codex 5.1: https://platform.openai.com/docs/models/gpt-5.1-codex • Cursor: https://cursor.com/ — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email jordan@penname.co.

    25 min
  7. “PMs who use AI will replace those who don’t”: Google’s AI product lead on the new PM toolkit | Marily Nika

    01/12/2025

    “PMs who use AI will replace those who don’t”: Google’s AI product lead on the new PM toolkit | Marily Nika

    Marily Nika, AI Product Lead at Google and founder of the AI Product Academy, demonstrates how product managers can leverage AI tools to dramatically accelerate their workflow. Using a smart-fridge concept as an example, Marily walks us through the exact workflow she uses to build products faster: doing user research with Reddit debates, generating PRDs with custom GPTs, prototyping with v0, and even creating stakeholder-ready video mockups using VEO and Sora. She shows how “tool hopping” between specialized AI applications creates a powerful workflow that transforms traditional PM processes and enables more compelling product storytelling. What you’ll learn: How to use Perplexity’s “discussions and opinions” filter to mine Reddit for user insights and create pro/con agent debates that reveal product-market fit requirementsA workflow for transforming market research into comprehensive PRDs using custom GPTs that maintain your personal voice and styleTechniques for turning PRDs into interactive prototypes using v0.dev that make your product vision tangible for stakeholdersHow to create persuasive product videos using Flow and Sora that communicate your vision more effectively than traditional presentationsWhy “tool hopping” between specialized AI applications creates a more powerful workflow than using a single toolHow to use NotebookLM as an interactive judge for product demos and pitch competitions— Brought to you by: WorkOS—Make your app enterprise-ready today Miro—The AI Innovation Workspace where teams discover, plan, and ship breakthrough products — Where to find Marily Nika: LinkedIn: https://www.linkedin.com/in/marilynika/ Website: https://www.marilynika.me/ Substack: https://marily.substack.com/ AI Product Management Bootcamp & Certification by AI Product Academy: https://bit.ly/4p8tn2r — 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 Marily Nika (02:54) Smart-fridge use case inspiration (06:15) Using Perplexity to mine Reddit for user research (11:19) Creating a comprehensive PRD with ChatGPT (13:40) Building an interactive prototype with v0 (16:20) Using prototypes as stakeholder influence tools in product reviews (21:30) Generating product videos with Flow and Sora (30:17) The complete 20-minute product workflow, from research to video (32:06) Using NotebookLM as an AI judge for product demo days (37:38) What to do when AI tools aren’t giving you what you want — Tools referenced: • Perplexity: https://www.perplexity.ai/ • ChatGPT: https://chat.openai.com/ • v0.dev: https://v0.dev/ • Flow (Google Labs): https://labs.google/flow/about • Sora: https://openai.com/sora • NotebookLM: https://notebooklm.google/ — Other references: • AI Product Management Bootcamp: https://maven.com/lenny/ai-product-management • Lenny’s List on Maven: https://maven.com/lenny — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email jordan@penname.co.

    40 min
  8. How to create your own AI performance coach: Optimizing your unique nutrition, recovery, and injury management needs | Lucas Werthein (Cactus)

    24/11/2025

    How to create your own AI performance coach: Optimizing your unique nutrition, recovery, and injury management needs | Lucas Werthein (Cactus)

    Lucas Werthein, the COO and co-founder of Cactus, shares how he built a personalized AI wellness coach using ChatGPT to optimize his athletic performance while managing past injuries. After multiple surgeries on his knees, shoulder, and foot, Lucas created a system that synthesizes data from medical imaging, blood tests, wearable devices, and nutrition plans to provide personalized recommendations. His AI coach helps him balance competitive tennis, weightlifting, and running a company while maintaining his goal of “feeling 25 in a 40-year-old body.” Lucas demonstrates how this approach transforms siloed health information into actionable insights that protect joints, optimize recovery, and extend peak performance. What you’ll learn: How to configure a ChatGPT with multiple data types, including MRIs, x-rays, blood tests, and wearable metrics, to create a comprehensive health profileA framework for setting clear performance boundaries that prioritize joint protection, energy optimization, and injury preventionTechniques for using AI to balance nutrition around special events like social dinners while maintaining performance goalsHow to use images and videos to get AI feedback on physical symptoms and injury recovery timelinesA method for validating and contextualizing medical advice by having AI synthesize information from multiple health-care providersWhy creating clear rules and anti-prompts helps AI deliver practical, evidence-based recommendations instead of trendy supplements or extreme protocols— Copy Lucas’s Health Coach Prompt: https://www.lennysnewsletter.com/p/how-to-create-your-own-ai-performance-coach — Brought to you by: WorkOS—Make your app enterprise-ready today Google Gemini—Your everyday AI assistant — Where to find Lucas Werthein: Website: https://cactus.is/ — 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 Lucas’s athletic background and injury history (04:55) The challenge of synthesizing siloed health data (06:11) Building a GPT to optimize performance and recovery (09:57) Demonstrating the data types integrated into the AI coach (13:54) Configuring the GPT with clear performance goals and boundaries (16:31) Setting realistic expectations for the AI coach (17:50) Creating nutrition, training, and recovery frameworks (21:47) Establishing hard boundaries and anti-prompts (24:25) Example: Managing nutrition around special events (27:30) Accessibility and affordability of on-demand coaching (28:24) Practical examples and real-life scenarios (29:31) Using AI for injury management and recovery planning (34:19) Validating expert opinions and translating medical advice (37:25) Vision for the future of AI in personal health coaching (43:27) Other AI workflows: synthetic clients and AI co-founders (48:48) Final thoughts on AI reliability and evolution — Tool referenced: • ChatGPT: https://chat.openai.com/ — Other references: • InBody scan: https://inbodyusa.com/ • Whoop: https://www.whoop.com/ — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email jordan@penname.co.

    52 min
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About

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.

Information

  • Creator
    Claire Vo
  • Years Active
    2025 - 2026
  • Episodes
    45
  • Rating
    Clean
  • Copyright
    © Claire Vo
  • Show Website
    How I AI

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