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. “I haven’t written a single line of front-end code in 3 months”: How Notion’s design team uses Claude Code to prototype

    4 HR AGO

    “I haven’t written a single line of front-end code in 3 months”: How Notion’s design team uses Claude Code to prototype

    Brian Lovin is a designer at Notion AI who has transformed how the design team builds prototypes, by creating a shared code environment powered by Claude Code. Instead of designers working in isolated repositories or limited to static Figma designs, Brian built a collaborative “prototype playground” where the entire team can create, share, and iterate on functional prototypes. In this episode, Brian demonstrates how AI-assisted coding has dramatically accelerated the design process and why code-based prototyping is essential for building AI-powered products. What you’ll learn: How Brian built a shared Next.js app that serves as a collaborative prototyping environment for Notion’s design teamWhy encountering “reality” early in the design process leads to better productsHow to use Claude Code’s “plan mode” to get better results when prototypingThe power of custom Claude slash commands and skills to automate repetitive tasksHow to transform Figma designs into working code with a single promptWhy AI-powered products can’t be effectively designed in static tools like FigmaBrian’s rule for working with AI: “When Claude asks you to do something, teach it to do that thing itself”— Brought to you by: WorkOS—Make your app enterprise-ready today Orkes—The enterprise platform for reliable applications and agentic workflows — In this episode, we cover: (00:00) Introduction to Brian (02:36) Building for B2B SaaS (04:42) Notion’s prototype playground: what it is and how it works (08:01) The technical background of designers using the playground (10:52) Demo: building a podcast player prototype (16:00) Actionable tips for better Claude Code results (20:16) Analyzing the result (20:30) Creating slash commands to simplify the workflow (23:03) Turning Figma designs into production-ready code (25:06) MCP frustrations and tips (30:54) Demo: creating a custom “find icon” skill (35:03) Demo: Creating a deploy command to simplify GitHub workflows (41:09) Quick recap (41:59) How code-based prototyping is changing design at Notion (46:48) Brian’s tool preferences (48:42) Prompting techniques when AI is not listening — Tools referenced: • Claude Code: https://claude.ai/ • Cursor: https://cursor.sh/ • Next.js: https://nextjs.org/ • Figma: https://figma.com/ • Monologue: https://www.monologue.to/ • GitHub: https://github.com/ • GitHub Desktop: https://desktop.github.com/ • Tailwind CSS: https://tailwindcss.com/ • Bun: https://bun.sh/ — Other references: • Claude Skills explained: How to create reusable AI workflows: https://www.lennysnewsletter.com/p/claude-skills-explained — Where to find Brian Lovin: Website: https://brianlovin.com/ LinkedIn: linkedin.com/in/brianlovin X: https://twitter.com/brian_lovin — 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.

    52 min
  2. How this visually impaired engineer uses Claude Code to make his life more accessible | Joe McCormick

    16 FEB

    How this visually impaired engineer uses Claude Code to make his life more accessible | Joe McCormick

    Joe McCormick is a principal software engineer at Babylist who lost most of his central vision due to a rare genetic disorder right before starting college. He pivoted from mechanical engineering to computer science and now leads AI enablement at Babylist. Joe demonstrates how he uses AI to build micro Chrome extensions that make his everyday work and life more accessible, showing how personal software can address accessibility needs that mainstream products often overlook. What you’ll learn: How to build custom Chrome extensions in under 25 minutes using Claude CodeA practical workflow for creating AI-powered accessibility toolsHow to use Claude Skills to accelerate repetitive development tasksTechniques for making Claude Code more screen reader accessibleWhy personal software is becoming increasingly viable with AI assistanceHow multimodal AI is transforming accessibility for visually impaired users— Brought to you by: Tines—Start building intelligent workflows today — Detailed workflow walkthroughs from this episode: • How I AI: Building Custom AI Accessibility Tools for Slack with Joe McCormick & Claude Code: https://www.chatprd.ai/how-i-ai/custom-ai-accessibility-tools-for-slack-claude-code • Build a Slack Link Summarizer from Scratch using Claude Code: https://www.chatprd.ai/how-i-ai/workflows/slack-link-summarizer-using-claude-code • Create a Fast, Accessible AI Spell Checker for Any Website: https://www.chatprd.ai/how-i-ai/workflows/accessible-ai-spell-checker-for-any-website • Build a Custom AI Tool to Describe Images in Slack: https://www.chatprd.ai/how-i-ai/workflows/ai-tool-to-describe-images-in-slack — In this episode, we cover: (00:00) Introduction to Joe and his background (02:34) Joe’s journey into computer science after vision loss (04:50) The concept of personal software for accessibility (06:09) Demo of image description Chrome extension for Slack (10:40) Demo of AI-powered spell checker extension (13:12) The efficiency of keyboard shortcuts for accessibility (14:37) Live building a link summarization extension (20:28) Using Claude Skills to extract common patterns (25:30) Reviewing and modifying the development plan (27:45) Removing cognitive friction for users through repeating patterns (31:40) How to get fluent with AI tools (34:55) Loading the extension into Chrome in developer mode (36:19) Testing and debugging the extension (40:44) Quick recap (42:12) Lightning round and final thoughts — Tools referenced: • Claude Code: https://claude.ai/code • VS Code: https://code.visualstudio.com/ • Gemini: https://gemini.google.com/ • ChatGPT: https://chat.openai.com/ • Meta Ray-Ban Smart Glasses: https://www.meta.com/smart-glasses/ — Other references: • Chrome Extensions Documentation: https://developer.chrome.com/docs/extensions/ • ARIA (Accessible Rich Internet Applications): https://developer.mozilla.org/en-US/docs/Web/Accessibility/ARIA • Windows Subsystem for Linux: https://learn.microsoft.com/en-us/windows/wsl/ • Screen Readers: https://www.afb.org/blindness-and-low-vision/using-technology/assistive-technology-products/screen-readers • Claude Skills explained: How to create reusable AI workflows:https://www.lennysnewsletter.com/p/claude-skills-explained — Where to find Joe McCormick: LinkedIn: https://www.linkedin.com/in/joemccormickjr/ Company: https://www.babylist.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.

    49 min
  3. Claude Opus 4.6 vs. GPT-5.3 Codex: How I shipped 93,000 lines of code in 5 days

    11 FEB

    Claude Opus 4.6 vs. GPT-5.3 Codex: How I shipped 93,000 lines of code in 5 days

    I put the newest AI coding models from OpenAI and Anthropic head-to-head, testing them on real engineering work I’m actually doing. I compare GPT-5.3 Codex with Opus 4.6 (and Opus 4.6 Fast) by asking them to redesign my marketing website and refactor some genuinely gnarly components. Through side-by-side experiments, I break down where each model shines—creative development versus code review—and share how I’m thinking about combining them to build a more effective AI engineering stack. — What you’ll learn: The strengths and weaknesses of OpenAI’s Codex vs. Anthropic’s Opus for different coding tasksHow I shipped 44 PRs containing 98 commits across 1,088 files in just five days using these modelsWhy Codex excels at code review but struggles with creative, greenfield workThe surprising way Opus and Codex complement each other in a real-world engineering workflowHow to use Git concepts like work trees to maximize productivity with AI coding assistantsWhy Opus 4.6 Fast might be worth the 6x price increase (but be careful with your token budget)— Brought to you by: WorkOS—Make your app enterprise-ready today — Detailed workflow walkthroughs from this episode: • How I AI: GPT-5.3 Codex vs. Claude Opus 4.6—Shipping 44 PRs in 5 Days: https://www.chatprd.ai/how-i-ai/gpt-5-3-codex-vs-claude-opus-4-6 • How to Combine Claude Opus and GPT-5.3 Codex for High-Velocity Code Refactoring: https://www.chatprd.ai/how-i-ai/workflows/how-to-combine-claude-opus-and-gpt-5-3-codex-for-high-velocity-code-refactoring • How to Redesign a Marketing Website Using Claude Opus 4.6 for Creative Development: https://www.chatprd.ai/how-i-ai/workflows/how-to-redesign-a-marketing-website-using-claude-opus-4-6-for-creative-development — In this episode, we cover: (00:00) Introduction to new AI coding models (02:13) My test methodology for comparing models (03:30) Codex’s unique features: Git primitives, skills, and automations (09:05) Testing GPT-5.2 Codex on a website redesign task (10:40) Challenges with Codex’s literal interpretation of prompts (15:00) Comparing the before and after with Codex (16:23) Testing Opus 4.6 on the same website redesign task (20:56) Comparing the visual results of both models (21:30) Real-world engineering impact: 44 PRs in five days (23:03) Refactoring components with Opus 4.6 (24:30) Using Codex for code review and architectural analysis (26:55) Cost considerations for Opus 4.6 Fast (28:52) Conclusion — Tools referenced: • OpenAI’s GPT-5.3 Codex: https://openai.com/index/introducing-gpt-5-3-codex/ • Anthropic’s Claude Opus 4.6: https://www.anthropic.com/news/claude-opus-4-6 • Cursor: https://cursor.sh/ • GitHub: https://github.com/ — Other references: • Tailwind CSS: https://tailwindcss.com/ • Git: https://git-scm.com/ • Bugbot: https://cursor.com/bugbot — 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.

    30 min
  4. How to build your own AI developer tools with Claude Code | CJ Hess (Tenex)

    9 FEB

    How to build your own AI developer tools with Claude Code | CJ Hess (Tenex)

    CJ Hess is a software engineer at Tenex who has built some of the most useful tools and workflows for being a “real AI engineer.” In this episode, CJ demonstrates his custom-built tool, Flowy, that transforms Claude’s ASCII diagrams into interactive visual mockups and flowcharts. He also shares his process for using model-to-model comparison to ensure that his AI-generated code is high-quality, and why he believes we’re just at the beginning of a revolution in how developers interact with AI. What you’ll learn: How CJ built Flowy, a custom visual planning tool that converts JSON files into interactive mockups and flowchartsWhy visual planning tools are more effective than ASCII diagrams for complex UI and animation workflowsHow to create and use Claude Code skills to extend your development environmentUsing model-to-model comparison (Claude + Codex) to improve code qualityHow to build your own ecosystem of tools around Claude CodeThe value of bypassing permissions in controlled environments to speed up development— Brought to you by: Orkes—The enterprise platform for reliable applications and agentic workflows Rovo—AI that knows your business — Detailed workflow walkthroughs from this episode: • How I AI: CJ Hess on Building Custom Dev Tools and Model-vs-Model Code Reviews: https://www.chatprd.ai/how-i-ai/cj-hess-tenex-custom-dev-tools-and-model-vs-model-code-reviews • Implement Model-vs-Model AI Code Reviews for Quality Control: https://www.chatprd.ai/how-i-ai/workflows/implement-model-vs-model-ai-code-reviews-for-quality-control • Develop Features with AI Using Custom Visual Planning Tools: https://www.chatprd.ai/how-i-ai/workflows/develop-features-with-ai-using-custom-visual-planning-tools — In this episode, we cover: (00:00) Introduction to CJ Hess (02:48) Why CJ prefers Claude Code for development (04:46) The evolution of developer environments with AI (06:50) Planning workflows and the limitations of ASCII diagrams (08:23) Introduction to Flowy, CJ’s custom visualization tool (11:54) How Flowy compares to mermaid diagrams (15:25) Demo: Using Flowy (19:30) Examining Flowy’s skill structure (23:27) Reviewing the generated flowcharts and diagrams (28:34) The cognitive benefits of visual planning vs. text-based planning (31:38) Generating UI mockups with Flowy (33:30) Building the feature directly from flowcharts and mockups (35:40) Quick recap (36:51) Using model-to-model review with Codex (Carl) (41:52) The benefits of using AI for code review (45:13) Lightning round and final thoughts — Tools referenced: • Claude Code: https://claude.ai/code • Claude Opus 4.5: https://www.anthropic.com/news/claude-opus-4-5 • Cursor: https://cursor.sh/ • Obsidian: https://obsidian.md/ • GPT-5.2 Codex: https://openai.com/index/introducing-gpt-5-2-codex/ • Google’s Project Genie: https://labs.google/projectgenie — Other references: • Mermaid diagrams: https://mermaid.js.org/ • Figma: https://www.figma.com/ • Excalidraw: https://excalidraw.com/ • TypeScript: https://www.typescriptlang.org/ — Where to find CJ Hess: LinkedIn: https://www.linkedin.com/in/cj-hess-connexwork/ X: https://x.com/seejayhess — 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
  5. Guillermo Rauch: Vercel CEO on how v0 hit 3,200 PRs merged per day (and lets anyone ship)

    4 FEB

    Guillermo Rauch: Vercel CEO on how v0 hit 3,200 PRs merged per day (and lets anyone ship)

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

    2 FEB

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

    28 JAN

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

    26 JAN

    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
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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
    55
  • Rating
    Clean
  • Copyright
    © Claire Vo
  • Show Website
    How I AI

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