How I AI

Claire Vo
  • 5.0 (2)
  • TECNOLOGÍA
  • CADA SEMANA

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. “Anyone can cook”: How v0 is bringing git workflows to vibe-coding | Guillermo Rauch (Vercel CEO)

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    “Anyone can cook”: How v0 is bringing git workflows to vibe-coding | Guillermo Rauch (Vercel CEO)

    Guillermo Rauch, the CEO of Vercel, demonstrates how v0 has evolved from a simple prototyping tool to a complete development environment that supports the entire Git workflow. Guillermo shows how Vercel built skills.sh—a viral marketplace with over 34,000 community-submitted skills—using v0, and how the tool enables non-technical team members to contribute production-ready code changes. He walks through creating branches, implementing features, previewing changes, and submitting pull requests, all within v0. What you’ll learn: How v0’s new Git workflow integration enables anyone to contribute production-ready code changesWhy skills.sh became a viral hub for AI skills, with 500 new submissions per hourHow to implement features in v0 that consider production concerns like abuse prevention and rate limitingThe benefits of branch previews for testing changes in a production-like environment before mergingHow v0 eliminates development environment setup challenges for non-technical team membersWhy the “terminal core” design aesthetic became central to skills.sh’s interfaceHow Vercel uses v0 internally to democratize code contributions across teamsThe future of AI at Vercel, including upcoming tools for text-to-SVG and video generation— In this episode, we cover: (00:00) Introduction (01:22) Overview of skills.sh (04:40) Demonstration of v0’s GitHub integration and branch creation (06:40) Exploring the v0 development environment (09:05)  Building a rating system feature for skills.sh (11:18) Testing the new feature in the preview environment (13:20) Creating a pull request and deploying to a preview environment (15:25) How Vercel is using v0 internally for production work (17:48) Organizational adoption and cultural impact (22:04) Favorite non-coding AI use cases (25:17) AI-powered chess game built with v0 (27:57) Teaching kids about coding with AI (31:44) Troubleshooting techniques when AI gets stuck (34:43) Final thoughts and audience Q&A — Tools referenced: • v0: https://v0.dev/ • Skills by Vercel: https://skills.sh/vercel • Vercel: https://vercel.com/ • GitHub: https://github.com/ • Nano Banana: https://gemini.google/overview/image-generation/ • Vestaboard: https://vestaboard.com/ — Other references: • v0 Chess Match: https://v0-chess-match.app/ • React Native: https://reactnative.dev/ — Where to find Guillermo Rauch: LinkedIn: linkedin.com/in/rauchg X: https://twitter.com/rauchg — 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
  2. How this PM uses MCPs to automate his meeting prep, CRM updates, and customer feedback synthesis | Reid Robinson (Zapier)

    HACE 3 DÍAS

    How this PM uses MCPs to automate his meeting prep, CRM updates, and customer feedback synthesis | Reid Robinson (Zapier)

    Reid Robinson, Principal AI Product Strategist at Zapier, shares how he uses Model Context Protocols (MCPs) to automate tedious tasks and create powerful workflows. He demonstrates practical workflows that combine Zapier’s more than 8,000 app connections with AI tools like Claude to create systems that work while he sleeps. What you’ll learn: How to use Zapier’s MCP server to create custom collections of tools that work seamlessly with Claude, ChatGPT, and other AI assistantsA workflow for using Claude Projects to provide detailed instructions for tool usage, improving reliability and consistencyHow to automate CRM updates and meeting preparation by connecting AI to your calendar, notes, and internal knowledge basesA system for creating a virtuous cycle of customer feedback by automatically analyzing support tickets and updating knowledge basesWhy thinking about “what your AI could do while you sleep” is a powerful framework for identifying high-impact automation opportunitiesPersonal use cases, including family calendar management and creating custom songs that demonstrate AI’s ability to bring joy beyond work— Brought to you by: WorkOS—Make your app enterprise-ready today Vanta—Automate compliance and simplify security — In this episode, we cover: (00:00) Introduction to Reid Robinson and his role at Zapier (02:41) Understanding MCPs as app integrations for AI tools (04:05) How Zapier’s approach to MCPs works with over 8,000 apps (09:00) Using Claude Projects to improve tool usage instructions (12:05) Post-meeting notes management (15:25) Comparing deterministic workflows vs. agentic instructions (18:15) Reid’s idea jammer (20:04) Building a customer interview preparation workflow (23:10) Using Gemini for processing file-based data (25:05) Creating a virtuous cycle of customer feedback analysis (29:16) The “if you could run ChatGPT in your sleep” framework (31:48) Quick recap (33:03) Personal use cases (37:16) Using Notebook AI to prepare personalized interview prep — Tools referenced: • Reid’s Resources for How I AI: https://how-i-ai-reid.zapier.app/resources • Claude: https://claude.ai/ • Zapier: https://zapier.com/ • Zapier MCP: https://zapier.com/mcp • Granola: https://www.granola.ai/ • Coda: https://coda.io/ • Suno: https://suno.ai/ • Notebook AI: https://www.notebook.ai/ • Gemini: https://gemini.google.com/ — Other references: • HubSpot: https://www.hubspot.com/ • Databricks: https://www.databricks.com/ — Where to find Reid Robinson: LinkedIn: https://www.linkedin.com/in/reidtrobinson/ — 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.

    40 min
  3. I gave Clawdbot (aka Moltbot) access to my computer, calendar, and emails: Here’s what happened

    28 ENE

    I gave Clawdbot (aka Moltbot) access to my computer, calendar, and emails: Here’s what happened

    In this episode, I take you through my unfiltered experience with Clawdbot, the viral open-source AI agent that’s been taking over tech Twitter. (In the time since this was recorded, the tool was renamed Moltbot, but we’re calling it Clawdbot here to match the episode.) It’s an autonomous AI that can run code, spin up sub-agents, join video calls, and take real actions on your machine. I invite it onto the podcast, give it screen access, and walk through what it’s like to go from zero to one with an agentic AI that actually does things. Along the way, I share the real experience: installation headaches, dependency chaos, security warnings you shouldn’t ignore, and the very real tension of giving an AI access to your messaging apps, files, and accounts. I also break down how I thought about permissions, identity, model choice, and cost while testing Clawdbot as a personal assistant. — What you’ll learn: How to install and set up Clawdbot (and why it’s not as simple as the “one-liner” suggests)The security implications of giving an autonomous AI access to your computer and accountsHow to safely limit Clawdbot’s permissions while still making it usefulWhy Clawdbot struggles with basic time concepts but excels at research tasksThe future of AI assistants—and who might build the consumer-friendly versionHow to use voice messaging with AI agents for on-the-go productivityWhy latency is one of the biggest challenges for autonomous AI assistants— Brought to you by: Lovable—Build apps by simply chatting with AI — Detailed workflow walkthroughs from this episode: • How I AI: My 24 Hours with Clawdbot (aka Moltbot)—3 Workflows for a Powerful (and Terrifying) AI Agent: https://www.chatprd.ai/how-i-ai/24-hours-with-clawdbot-moltbot-3-workflows-for-ai-agent • How to Securely Set Up and Configure an Open-Source AI Agent like Clawdbot: https://www.chatprd.ai/how-i-ai/workflows/how-to-securely-set-up-and-configure-an-open-source-ai-agent-like-clawdbot • How to Safely Delegate Calendar Scheduling to an AI Agent: https://www.chatprd.ai/how-i-ai/workflows/how-to-safely-delegate-calendar-scheduling-to-an-ai-agent • Automate Market Research on Reddit Using an AI Agent: https://www.chatprd.ai/how-i-ai/workflows/automate-market-research-on-reddit-using-an-ai-agent — In this episode, we cover: (00:00) Introduction and getting Clawdbot to join the podcast (02:07) What Clawdbot is and how it works (03:50) Installation process and hardware requirements (07:26) Security considerations and creating separate accounts (08:03) Setting up Telegram integration (10:02) Use case: Clawdbot as an EA (13:08) Configuring the AI agent  (14:31) Granting Google Calendar access (18:03) Testing Clawdbot as a personal assistant (23:16) Speed frustrations (23:54) Email mishaps and impersonation issues (26:33) Why prompting matters more than ever with autonomous agents (27:32) Quick recap and family calendar management gone wrong (32:11) Using voice messaging with Clawdbot (36:14) Product thoughts (37:06) Building a Next.js app to show chat history (42:29) Research capabilities and Reddit analysis (46:10) Final thoughts on security concerns (48:00) The future of AI assistants and who will build them — Tools referenced: • Moltbot (formerly Clawdbot): https://www.molt.bot/ • Telegram: https://telegram.org/ • Vercel: https://vercel.com/ • Devin: https://www.devin.ai/ — Other references: • 1Password: https://1password.com/ • Next.js: https://nextjs.org/ • Google Workspace: https://workspace.google.com/ • Claude Sonnet 4.5: https://www.anthropic.com/news/claude-sonnet-4-5 • OAuth: https://oauth.net/ — 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.

    56 min
  4. Advanced Claude Code techniques: context loading, mermaid diagrams, stop hooks, and more | John Lindquist

    26 ENE

    Advanced Claude Code techniques: context loading, mermaid diagrams, stop hooks, and more | John Lindquist

    John Lindquist is the co-founder of egghead.io and an expert in leveraging AI tools for professional software development. In this episode, John shares advanced techniques for using AI coding tools like Claude Code and Cursor that go far beyond basic prompting. He demonstrates how senior engineers can use mermaid diagrams for context loading, create custom hooks for automated code quality checks, and build efficient command-line tools that streamline AI workflows. What you’ll learn: How to use mermaid diagrams to preload context into Claude Code for faster, more accurate coding assistanceCreating custom hooks in Claude Code to automatically check for TypeScript errors and commit working codeBuilding efficient command-line aliases and tools to streamline your AI workflowsTechniques for using AI to generate documentation that works for both humans and machinesHow to leverage AI for code investigation and orientation when tackling unfamiliar codebasesStrategies for resetting AI conversations when they go off track— Brought to you by: WorkOS—Make your app enterprise-ready today Tines—Start building intelligent workflows today — In this episode, we cover: (00:00) Introduction to John Lindquist (03:15) Using context and diagrams to provide context to AI tools (05:38) Demo: Mermaid diagrams (06:48) Preloading context with system prompts in Claude Code (10:30) The rise of specialized file formats for AI consumption (13:23) Mermaid diagram use cases (19:01) Demo: Creating aliases for common AI commands (21:05) Building custom command-line tools for AI workflows (26:39) Demo: Setting up stop hooks for automated code quality checks (35:16) Investing in quality outputs (36:40) Additional use cases for hooks beyond code quality (39:19) Quick review (41:14) Terminal UI vs. IDE (45:35) Selling AI to skeptical teams (51:57) Prompting reset tricks — Tools referenced: • Claude Code: https://claude.ai/ • Cursor: https://cursor.sh/ • Gemini: https://gemini.google.com/ — Other references: • Zsh: https://www.zsh.org/ • GitHub: https://github.com/ • TypeScript: https://www.typescriptlang.org/ • Bun: https://bun.sh/ • Claude hooks: https://code.claude.com/docs/en/hooks — Where to find John Lindquist: Website: https://egghead.io Newsletter: https://egghead.io/newsletters/ai-dev-essentials LinkedIn: linkedin.com/in/john-lindquist-84230766 X: https://x.com/johnlindquist — 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.

    57 min
  5. Claude Code for product managers: research, writing, context libraries, custom to-do system, and more | Teresa Torres

    19 ENE

    Claude Code for product managers: research, writing, context libraries, custom to-do system, and more | Teresa Torres

    Teresa Torres is the author of Continuous Discovery Habits and an internationally acclaimed speaker and coach. In this episode, Teresa demonstrates how she’s built a personalized productivity system using Claude Code to manage her tasks, automate research collection, and improve her writing. She shows how non-developers can leverage AI tools to create personalized workflows that match their unique needs and thinking style. What you’ll learn: How Teresa built a personalized task management system in Claude Code that matches her exact workflow needsWhy she moved from Trello to a markdown-based system that gives her complete control and searchabilityHow she automated academic research collection with daily digests of relevant papersHer strategy for organizing context files to make Claude more effective without overwhelming itWhy “pair programming” with Claude has become her approach to everything from writing to task managementHow she uses Claude as a writing partner while maintaining her authentic voiceThe power of slash commands and automation to reduce friction in daily workflows— Brought to you by: Brex—The intelligent finance platform built for founders Graphite—The next generation of code review — In this episode, we cover: (00:00) Introduction to Teresa Torres (02:10) Why Claude Code became Teresa’s productivity tool of choice (03:00) The evolution from browser-based AI to terminal-based workflows (04:14) Demo: Creating a personalized task management system (07:52) How the task system works with markdown files and Obsidian (12:56) Quick recap (14:13) Taking notes within tasks for better searchability (15:54) Demo: Automated research digest workflow (19:32) How the research plugin searches and summarizes academic papers (24:43) Filtering overwhelming information sources (29:00) Using small, focused context files instead of one large document (32:58) Claude as a writing partner: review, research, and refinement (35:34) Recap of workflows and lightning round — Tools referenced: • Claude Code: https://claude.ai/ • Obsidian: https://Obsidian.md/ • VS Code: https://code.visualstudio.com/ • Descript: https://www.descript.com/ • ChatGPT: https://chat.openai.com/ • Trello: https://trello.com/ — Other references: • Continuous Discovery Habits: https://www.producttalk.org/continuous-discovery-habits/ • Google Scholar: https://scholar.google.com/ • Claude Code: What It Is, How It’s Different, and Why Non-Technical People Should Use It: https://www.producttalk.org/claude-code-what-it-is-and-how-its-different — Where to find Teresa Torres: Blog: https://producttalk.org/ Podcast: https://justnowpossible.com/ Book: https://www.amazon.com/Continuous-Discovery-Habits-Discover-Products/dp/1736633309 LinkedIn: https://www.linkedin.com/in/teresatorres/ — 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.

    43 min
  6. The power user’s guide to Codex: parallelizing workflows, planning techniques, advanced context engineering tips, automating code reviews, and more | Alexander Embiricos

    12 ENE

    The power user’s guide to Codex: parallelizing workflows, planning techniques, advanced context engineering tips, automating code reviews, and more | Alexander Embiricos

    Alexander Embiricos, the product lead for Codex at OpenAI, shares practical workflows for getting the most out of this AI coding agent. In this episode, he demonstrates how both non-technical users and experienced engineers can leverage Codex to accelerate development, from making simple code changes to building production-ready applications. Alex walks through real examples of using Codex in VS Code and terminal environments, implementing parallel workflows with Git worktrees, and creating detailed implementation plans for complex projects. He also reveals how OpenAI uses Codex internally, including how they built the Sora Android app in just 28 days, and offers insights on automated code review and the future of AI-assisted development. What you’ll learn: How to set up and use Codex in VS Code and terminal environments for both simple and complex coding tasksA practical workflow for running multiple Codex instances in parallel using Git worktrees to avoid conflictsHow to create detailed implementation plans using the Plans.md technique for complex engineering projectsWhy context is critical when prompting Codex—and how to provide the right information for better resultsHow OpenAI uses automated code review to accelerate development while maintaining high quality standardsThe key differences between vibe coding for prototypes versus building production-ready applications with AIHow the new GPT-5.2 model improves Codex’s capabilities with faster reasoning and better problem-solving— Brought to you by: Brex—The intelligent finance platform built for founders Graphite—Your AI code review platform — Detailed workflow walkthrough from this episode: https://chatprd.ai/how-i-ai/advanced-codex-workflows-with-openai-alex-embiricos — In this episode, we cover: (00:00) Introduction to Alex and Codex (02:06) Getting started with Codex (04:54) Using Codex for parallel tasks (07:34) Understanding Git worktrees (09:51) Terminal shortcuts and command-line efficiency (12:16) How OpenAI built the Sora Android app with Codex (15:37) Using PLANS.md for problem solving (17:57) The importance of high agency (22:22) Deciding between what needs a plan and what doesn’t (26:42) How to multiply the impact of Codex (28:08) Implementing automated code review with GitHub (31:58) Delivering the benefits of AGI to all humanity (34:35) Accelerating developer productivity (36:38) Recap and final thoughts — Tools referenced: • Codex: https://openai.com/blog/openai-codex • VS Code: https://code.visualstudio.com/ • Cursor: https://cursor.com/ • Git: https://git-scm.com/ • GitHub: https://github.com/ • Atlas: https://openai.com/atlas • ChatGPT: https://chat.openai.com/ • Slack: https://slack.com/ • Linear: https://linear.app/ — Other references: • Sora Android app: https://openai.com/blog/sora • GPT-5.2 model: https://openai.com/index/introducing-gpt-5-2/ • SWE-bench: https://openai.com/index/introducing-swe-bench-verified/ — Where to find Alexander Embiricos: LinkedIn: https://www.linkedin.com/in/embirico X: https://x.com/embirico — 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.

    53 min
  7. Zapier’s CEO shares his personal AI stack | Wade Foster

    5 ENE

    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

  8. 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
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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.

Información

  • Creador
    Claire Vo
  • Años de actividad
    2025 - 2026
  • Episodios
    51
  • Clasificación
    Apto
  • Copyright
    © Claire Vo
  • Mostrar sitio web
    How I AI

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