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. From a $6.90 newsletter to $3M API: How a non-coder built Memelord | Jason Levin

    قبل ٤ أيام

    From a $6.90 newsletter to $3M API: How a non-coder built Memelord | Jason Levin

    Jason Levin is the CEO and founder of Memelord, an AI-powered meme creation platform that helps brands and individuals create contextual, trending memes. He started Memelord as a $6.90-per-month newsletter sending subscribers to a Google Slides deck, grew it to $100K ARR on Bubble without hiring engineers, then raised $3M to build it into an API-first product. What you’ll learn: How Jason grew Memelord from a $6.90/month newsletter to $100K ARR without writing a single line of codeWhy “no UX is the best UX” and how agents are becoming Memelord’s primary usersThe mandatory vibe-coding rule for his marketing team and how it unlocks unprecedented creativityWhy free tools are the new PDF downloads and how they’ve generated hundreds of thousands of emailsJason’s hardware hacking projects, including a bedside keyboard that creates Linear tickets without waking his wifeWhy AI can be funny (but humans are still funnier) and which model is the funniestThe philosophy of building hyper-personalized software just for yourself— Brought to you by: WorkOS—Make your app enterprise-ready today Persona—Trusted identity verification for any use case — In this episode, we cover: (00:00) Introduction to Jason Levin and Memelord (04:28) Demo: Agentic meme creation with OpenClaw (06:55) “No UX is the best UX”—building for an agent-first future (08:35) How Memelord started as a $6.90 newsletter with Google Slides (12:35) Building to $100K ARR on Bubble with 395 workflows (15:20) Demo: Free tools section that generates hundreds of thousands of emails (17:59) Why Cursor is perfect for non-technical founders (20:20) Let your marketers cook—or watch them leave (24:19) Commit graph that shows the vibe-coding inflection point (25:25) Tools: Claude, Gemini, Linear, PostHog (28:19) Build weird stuff in the real world (33:24) Creative AI use cases (39:56) Using OpenClaw for calendar analysis (43:37) Can AI be funny? Which model is funniest? (45:26) Memes are not slop (46:45) What Jason doesn’t use AI for (48:12) Final thoughts — Blog & detailed workflow walkthroughs from this episode: How I AI: Jason Levin’s Workflows for Agentic Memes, Vibe Coding, and Hardware Hacking: https://www.chatprd.ai/how-i-ai/jason-levins-workflows-for-agentic-memes-vibe-coding-and-hardware-hacking ↳ Build a Custom Bedside Keyboard for Idea Capture with Raspberry Pi and ChatGPT: https://www.chatprd.ai/how-i-ai/workflows/build-a-custom-bedside-keyboard-for-idea-capture-with-raspberry-pi-and-chatgpt ↳ Build Free Marketing Tools as Lead Magnets Using AI Code Assistants: https://www.chatprd.ai/how-i-ai/workflows/build-free-marketing-tools-as-lead-magnets-using-ai-code-assistants ↳ Automate Meme Marketing with an AI Agent and OpenClaw: https://www.chatprd.ai/how-i-ai/workflows/automate-meme-marketing-with-an-ai-agent-and-openclaw — Tools referenced: • Memelord API: https://memelord.com/api • Cursor: https://cursor.com/ • Bubble: https://bubble.io/ • OpenClaw: https://openclaw.ai • Claude: https://claude.ai/ • ChatGPT: https://chat.openai.com/ • Gemini: https://gemini.google.com/ • Grok: https://grok.x.ai/ • Linear: https://linear.app/ • PostHog: https://posthog.com/ • Zapier: https://zapier.com/ — Other references: • Diego Zaks—“The best UX is no UX”: https://x.com/diegozaks/status/1966526522136649980 • Sam Lessin: https://wlessin.com/ • “Stop giving me advice”: https://stopgivingmeadvice.com • Memelord free tools: https://memelord.com/tools — Where to find Jason Levin: Twitter: https://twitter.com/iamjasonlevin Instagram: https://instagram.com/iamjasonlevin LinkedIn: https://www.linkedin.com/in/iamjasonlevin/ Memelord: https://memelord.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.

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  2. GPT 5.5 just did what no other model could

    ٢٣ أبريل

    GPT 5.5 just did what no other model could

    In this mini episode, I break down OpenAI’s new GPT 5.5 and GPT 5.5 Pro after weeks of early testing. I walk through three real jobs I threw at the model:  building an app for me to teach my second grader more advanced subtraction concepts, tackling a tech debt problem in the ChatPRD codebase, and hacking into a proprietary Bluetooth pixel display that every other model had failed me on. My verdict: higher intelligence, better efficiency, and genuinely autonomous long-running loops that change what I think is worth tackling. What you’ll learn: How I think about GPT 5.5 Pro’s pricing vs engineering time, and when I believe the “intelligence tax” is worth payingWhy I treat GPT 5.5 as a developer model first, and why I couldn’t find a consumer use case that justified its intelligenceThe exact prompt pattern I use to unlock a long-running autonomous subagent loopHow I got a near-six-hour autonomous run to one-shot 98% of edge cases in a migration over millions of chat threads and drop my Sentry error rate to the floorWhy I’m now throwing GPT 5.5 at tech debt, flaky tests, and security backlogs firstHow I combined a Bluetooth packet sniffer and GPT 5.5 to reverse-engineer a proprietary pixel speaker after Claude Code and GPT 5.4 both gave upHow I use the /personality command inside Codex to swap the default “baked potato” tone for something I actually enjoy working with— In this episode, I cover: (00:00) Introduction to GPT 5.5 testing (00:40) What is GPT 5.5 and how much does it cost? (03:23) Testing GPT 5.5 in ChatGPT: the intelligence overhang problem (07:12) Moving to Codex: where GPT 5.5 really shines (16:01) Hacking a Chinese Bluetooth speaker (21:47) Final thoughts on GPT 5.5’s intelligence and efficiency — Tools referenced: • GPT 5.5 and GPT 5.5 Pro: https://openai.com/index/introducing-gpt-5-5/ • Codex: https://openai.com/codex/ • ChatGPT: https://chat.openai.com/ • Claude Code: https://claude.ai/code • Sentry: https://sentry.io/ • Divoom MiniToo: https://divoom.com/products/minitoo — Other references: • OpenAI Codex Security: https://openai.com/index/codex-security-now-in-research-preview/ — 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.

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  3. What Claude Design is actually good for (and why Figma isn’t dead, yet)

    ٢٢ أبريل

    What Claude Design is actually good for (and why Figma isn’t dead, yet)

    In this mini episode, I do a full walkthrough of the AI design tools that dropped in April 2026: Anthropic’s new Claude Design, OpenAI’s GPT Images 2.0, and Google Labs’ open-source DESIGN.md format. I import a full design system from Lenny’s Newsletter, build a landing page, turn my own article into a polished deck, generate a brand kit for ChatPRD, and run a personal color analysis from a photo. What you’ll learn: How Claude Design handles design system imports and whether it can actually replace FigmaThe three best use cases for Claude Design: marketing landing pages, slide decks, and creative redesignsWhy ChatGPT Images 2.0 is a breakthrough for brand kits and layout workGoogle’s new DESIGN.md standardThe practical limits of AI design tools (spoiler: you’ll hit credit limits fast)— Brought to you by: WorkOS—Make your app enterprise-ready today Rippling—Stop wasting time on admin tasks, build your startup faster — In this episode, we cover: (00:00) Welcome and what’s in the spring 2026 AI design drop (01:45) Claude Design overview (03:05) Importing Lenny’s Newsletter design system into Claude Design (04:06) How Claude Design structures a design system (05:42) Google Labs’ DESIGN.md standard (06:41) Building Lenny Doc, a PRD generator landing page using the Lenny design system (09:44) Why the three-variation output is Claude Design’s smartest UX choice (10:20) Hitting the Claude Design limit and paying $200 to keep going (11:05) Where Figma still wins (13:20) Reviewing Lenny Doc (16:19) Turning an Open Claude article into a branded slide deck (17:57) The ’90s GeoCities “Lenny’s Product Zone” redesign (19:44) Claude Design recap (20:15) ChatGPT Images 2.0 and what makes it the first “thinking” image model (21:25) Generating a multi-page brand kit for ChatPRD and iterating with reference images (23:43) Personal color analysis demo (26:02) Recap — Detailed workflow walkthroughs from this episode: • How I Put Claude Design and GPT Images 2.0 to the Test: Building Landing Pages, Slides, and Brand Kits: https://www.chatprd.ai/how-i-ai/claude-design-and-gpt-images-2-building-landing-pages-slides-and-brand-kits • How to Generate a Professional Brand Kit with GPT Images 2.0: https://www.chatprd.ai/how-i-ai/workflows/how-to-generate-a-professional-brand-kit-with-gpt-images-2-0 • How to Convert an Article into a Polished Slide Deck with AI: https://www.chatprd.ai/how-i-ai/workflows/how-to-convert-an-article-into-a-polished-slide-deck-with-ai • How to Build a High-Fidelity Landing Page with Claude Design: https://www.chatprd.ai/how-i-ai/workflows/how-to-build-a-high-fidelity-landing-page-with-claude-design — Tools referenced: • Claude Design: https://claude.ai/design • ChatGPT Images 2.0: https://openai.com/index/introducing-chatgpt-images-2-0/ • Midjourney: https://www.midjourney.com/ — Other references: • Google’s DESIGN.md: https://stitch.withgoogle.com/docs/design-md/overview • Lenny’s Newsletter: https://www.lennysnewsletter.com/ • Jamie Gannon “How I AI” episode on reference styles: https://www.lennysnewsletter.com/p/mastering-midjourney-how-to-create • Brand prompt inspiration: https://x.com/riomadeit/status/2046682442791071787 • Figma team “How I AI” episode on design systems: https://www.lennysnewsletter.com/p/from-figma-to-claude-code-and-back — 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.

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  4. How Intercom 2x’d their engineering velocity in 9 months with Claude Code | Brian Scanlan

    ٢٠ أبريل

    How Intercom 2x’d their engineering velocity in 9 months with Claude Code | Brian Scanlan

    Brian Scanlan is a senior principal engineer at Intercom, where he’s led the company’s transformation to AI-first engineering. In just nine months, Intercom doubled their R&D throughput while maintaining code quality, with 100% of engineers—plus designers, PMs, and TPMs—now shipping code via Claude Code. What you’ll learn: How Intercom doubled their merged PRs per R&D employee in just nine months using Claude CodeThe telemetry infrastructure they built to measure AI adoption and quality across hundreds of engineersWhy they built a skills repository with hooks that enforce engineering standards automaticallyHow they’re preparing their product for an agent-first world with CLIs, MCPs, and ephemeral APIsThe permission and accountability framework that enabled rapid AI adoptionWhy backlog zero is now achievable and what that means for engineering culture— Brought to you by: Celigo—Intelligent automation built for AI Cursor—The best way to code with AI — In this episode, we cover: (00:00) Introduction to Brian Scanlan (02:40) Why Intercom went all-in on AI for both product and engineering (05:01) The breakthrough moment with Opus 4.6 and Christmas break 2025 (07:02) Demo: Intercom’s merged PRs per R&D head (12:50) Agent-first work as a fundamental reimagining of technical workflows (14:27) The cost tradeoff: treating AI spend as an investment (16:47) Measuring quality (21:22) Demo: Shipping a redirect in the Rails monolith with Claude Code (24:03) Creating a custom PR skill (26:33) Building a software factory with predictable quality standards (30:15) Telemetry infrastructure: Honeycomb for skill usage tracking (32:10) Session data collection and personalized usage insights (36:08) Quick overview (39:20) Walking through Intercom’s skills repository (42:16) Deep dive: The flaky spec skill and how it reached 100x capability (46:44) The “and then” workflow for building comprehensive skills (52:31) The live website and overview of workflows (53:32) How internal AI experience informs customer product decisions (56:18) Making SaaS products agent-friendly with CLIs and helpful hints (01:03:49) Why conversion drop-off is invisible in agent-driven workflows (01:05:28) Lightning round and final thoughts — Detailed workflow walkthroughs from this episode: • How Intercom Doubled Engineering Output: Brian Scanlan's 4 AI Workflows for Claude Code: https://www.chatprd.ai/how-i-ai/how-intercom-doubled-engineering-output-brian-scanlan-ai-workflows-for-claude-code • Design an Agent-Friendly CLI to Automate SaaS Product Onboarding: https://www.chatprd.ai/how-i-ai/workflows/design-an-agent-friendly-cli-to-automate-saas-product-onboarding • Build a Self-Improving AI Agent to Automatically Fix Flaky Tests: https://www.chatprd.ai/how-i-ai/workflows/build-a-self-improving-ai-agent-to-automatically-fix-flaky-tests • Automate High-Quality Pull Request Descriptions with a Custom AI Skill: https://www.chatprd.ai/how-i-ai/workflows/automate-high-quality-pull-request-descriptions-with-a-custom-ai-skill — Tools referenced: • Claude Code: https://claude.ai/code • Cursor: https://cursor.com/ • Honeycomb: https://www.honeycomb.io/ • Snowflake: https://www.snowflake.com/ • Fin AI: https://www.intercom.com/fin • Vercel: https://vercel.com/ — Other references: • Intercom GitHub Repo: https://github.com/intercom • Google API Go Client Repo: https://github.com/googleapis/google-api-go-client — Where to find Brian Scanlan: X: https://x.com/brian_scanlan LinkedIn: https://www.linkedin.com/in/scanlanb/ Company: https://www.intercom.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.

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  5. Claude Cowork 101: How to automate your workday without touching code | JJ Englert (Tenex)

    ١٣ أبريل

    Claude Cowork 101: How to automate your workday without touching code | JJ Englert (Tenex)

    JJ Englert leads community enablement at Tenex. In this episode, JJ provides a complete zero-to-one tutorial on Claude Cowork, Anthropic’s desktop tool that sits between simple chat and full terminal-based coding. What you’ll learn: How to create your first Claude Cowork project by connecting a folder on your computer and building context over timeThe “brain” file strategy: how to create a preferences document that Claude reads every time to understand who you are and how you workWhy one-click connectors to Gmail, Slack, Notion, and Google Calendar unlock AI that actually does work instead of just suggesting itHow to analyze your sent emails to build a writing skill that perfectly matches your tone and styleThe sub-advisory-board technique: spinning up three AI agents with different personas to review your work from multiple perspectivesHow to set permissions for each connector so Claude only drafts (never sends) or always asks before taking actionThe scheduled-task workflow that creates a morning debrief by reading your email, Slack, and calendar every day at 7:30 a.m.Why projects with shared memory beat individual chat threads for consistent, high-quality AI outputs— Brought to you by: Tines—Start building intelligent workflows today Cursor—The best way to code with AI — In this episode, we cover: (00:00) Introduction to JJ Englert (02:48) What Cowork is and who it’s for (05:49) Getting started: Opening the Cowork tab in Claude Desktop (07:04) Understanding projects as folders on your computer (07:54) Creating your “brain” file, with working preferences and context (10:24) Demo: Building a daily operating system project from scratch (12:18) How to prompt Cowork when starting a new project (14:54) Understanding the project interface and shared memory (18:37) Setting up connectors to Gmail, Slack, Google Calendar, and other tools (21:00) Using connectors to analyze your emails and build personalized writing skills (24:21) Creating a thinking-partner skill for decision support (26:18) Cowork vs. OpenClaw (27:18) Building a sub-advisory skill with multiple AI personas for feedback (34:03) Advanced skill example: Multi-step newsletter creation with research and evaluation (36:08) Setting up scheduled tasks for morning debriefs (37:57) Going beyond one-off tasks with AI (41:00) Progressive trust and the tradeoff of information for productivity (44:08) Different use cases beyond work productivity (46:08) Lightning round — Tools referenced: • Claude Code: https://claude.ai/code • Wispr Flow: https://whisperflow.ai/ • Monologue: https://www.monologue.to/ • Domo: https://www.domo.com/ • Pencil.dev: https://pencil.dev/ • Remotion: https://www.remotion.dev/ • Obsidian: https://obsidian.md/ • OpenClaw: https://openclaw.com/ • Notion: https://notion.so/ — Other references: • Get Started with Claude Cowork: https://support.claude.com/en/articles/13345190-get-started-with-cowork — Where to find JJ Englert: YouTube: https://www.youtube.com/channel/UCv2ovDhYVtlJw4QMidLFP8Q X: https://twitter.com/jjenglert LinkedIn: https://www.linkedin.com/in/jj-englert-a08836a6/ — 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.

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  6. I built a custom Slack inbox. It was easier than you’d think. | Yash Tekriwal (Clay)

    ٨ أبريل

    I built a custom Slack inbox. It was easier than you’d think. | Yash Tekriwal (Clay)

    Yash Tekriwal is the head of education at Clay. A self-described hyper-optimizer, Yash has built multiple custom productivity applications using Perplexity Computer and OpenClaw to manage his overwhelming daily workflow—including a Slack digest system that categorizes over 150 daily notifications into actionable priorities, and a consolidated news/email/Slack dashboard that serves as his personal command center. What you’ll learn: How Yash built a custom Slack digest that categorizes 150+ daily notifications into action-required, need-to-read, and FYI bucketsWhy Perplexity Computer beats Claude Code and Codex for building personal productivity appsHis “anti-to-do list” framework: spending an hour daily automating tasks you never want to do againHow to use AI for deterministic tasks (APIs, structured data) vs. subjective tasks (categorization, summarization)Why the SaaS apocalypse narrative is wrong—and why we’re about to see an explosion of micro-softwareHow his team uses Perplexity Computer to prototype design systems and communicate with cross-functional partners— Brought to you by: Guru—The AI layer of truth ThoughtSpot—Build AI-powered analytics into your product — In this episode, we cover: (00:00) Introduction to Yash (02:38) The burden of 150 daily Slack notifications (05:45) When to use AI for tasks vs. building deterministic code (06:38) Building the Slack digest with OpenClaw (11:33) Introducing Perplexity Computer and the visual dashboard (14:28) Three reasons Perplexity Computer beats Claude Code (16:14) Using connectors to automate meeting follow-ups across Notion and Asana (18:21) The Kanban-style Slack dashboard (20:15) The long tail of customer requests and the future of micro-software (24:09) The anti-to-do list framework (26:21) Building a consolidated news, email, and Slack digest (29:48) How Perplexity Computer handles authentication and deployment (31:46) Team use case: Prototyping persona-based learning journeys for Clay University (35:49) Lightning round and final thoughts — Tools referenced: • Perplexity Computer: https://www.perplexity.ai/computer/new • OpenClaw: https://openclaw.ai/ • Discord: https://discord.com/ • Claude Code: https://claude.ai/code • Codex: https://openai.com/codex/ • Asana: https://asana.com/ • Airtable: https://airtable.com/ • Figma: https://www.figma.com/ • Vercel: https://vercel.com/ • ChatGPT: https://chat.openai.com/ — Other references: • Slack: https://slack.com/ • Notion: https://www.notion.so/ • Superhuman: https://superhuman.com/ • Clay University: https://www.clay.com/university • Kanban boards: https://en.wikipedia.org/wiki/Kanban_board — Where to find Yash Tekriwal: LinkedIn: https://www.linkedin.com/in/yashtekriwal/ X: https://x.com/yash_tek Company: https://www.clay.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.

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  7. I gave Claude Code our entire codebase. Our customers noticed. | Al Chen (Galileo)

    ٦ أبريل

    I gave Claude Code our entire codebase. Our customers noticed. | Al Chen (Galileo)

    Al Chen is a field engineer at Galileo, an observability platform for AI applications, where he works on the front lines with enterprise customers asking highly technical questions. Despite never having held an engineering role, Al has built a system using Claude Code to query Galileo’s 15 separate repositories, combine that with Confluence documentation and customer-specific quirks, and deliver hyper-personalized answers that would otherwise require constant engineering support. What you’ll learn: How to use Claude Code to query multiple repositories simultaneously for customer supportWhy code is often a better source of truth than documentationHow to combine repository context with Confluence and Slack using MCPsThe “customer quirks” system that creates hyper-personalized deployment guidesHow to build virtuous loops that turn single customer questions into scalable knowledgeWhy information organization matters less in the AI eraA simple 16-line script (written by Claude Code) that pulls the latest main branch across all your repositories to keep your context currentHow to reduce engineering interruptions to near-zero by empowering customer-facing teams to query the codebase directly— Brought to you by: Orkes—The enterprise platform for reliable applications and agentic workflows Tines—Start building intelligent workflows today — In this episode, we cover: (00:00) Introduction to Al Chen (02:50) The problem: documentation wasn’t enough (04:23) Pulling 15 repos into VS Code (06:03) How Claude Code queries the entire codebase (08:00) Why current code beats documentation (08:31) The pull script that keeps everything updated (09:54) Opening projects at the multi-repo level (11:40) Live demo: answering deployment questions (13:25) The customer quirks system (15:00) Living in chaos: why organization matters less now (17:03) Competing on customer experience, not just product (18:20) Should customers be able to query the code directly? (20:05) Where humans still add value (25:46) Using AI for reactive Slack support (29:16) The “and then” workflow discovery (32:07) Scaling processes across the team (34:07) Lightning round and final thoughts — Tools referenced: • Claude Code: https://claude.ai/code • VS Code: https://code.visualstudio.com/ • Pylon: https://usepylon.com/ • Confluence: https://www.atlassian.com/software/confluence — Other references: • Slack: https://slack.com/ • Kubernetes: https://kubernetes.io/ • Stack Overflow: https://stackoverflow.com/ • Intercom: https://www.intercom.com/ — Where to find Al Chen: LinkedIn: https://www.linkedin.com/in/thealchen/ Company: https://www.rungalileo.io — 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.

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  8. How to turn Claude Code into your personal life operating system | Hilary Gridley

    ٣٠ مارس

    How to turn Claude Code into your personal life operating system | Hilary Gridley

    Hilary Gridley is an entrepreneur, former product leader, and new mom who previously appeared on the podcast discussing AI for managers. She returns to share how she's transformed her approach to personal productivity using Claude Code as her primary tool for managing both professional work and life admin. Hilary demonstrates her "anti-system system"—a philosophy that prioritizes simplicity over complex setup, allowing AI to learn preferences through observation rather than upfront configuration. What you’ll learn: How to capture to-dos instantly using a simple iPhone back-tap shortcut that requires zero app switchingThe “10x impact framework” for deciding what tasks to automate versus where to invest your human effortHow to use Claude Code’s observation capabilities to build a preference file that improves over time without manual setupWhy the “yappers API” (talking about what you’re doing while working) eliminates the need for complex OAuth integrationsA workflow for breaking down overwhelming tasks into 10-minute first steps that actually get completedHow to create Claude Skills by simply describing problems rather than writing code or following tutorialsTechniques for using “recording mode” to demo workflows without exposing personal information— Brought to you by: WorkOS—Make your app Enterprise Ready today Lovable—Build apps by simply chatting with AI — In this episode, we cover: (00:00) Introduction to Hilary Gridley (02:43) The opportunity cost of time as a new mom and entrepreneur (07:11) Philosophy of the anti-system system (08:05) Demo: Planning your day with Claude Code (10:00) Setting up simple iPhone shortcuts for task capture (11:48) How Claude organizes reminders and learns preferences automatically (16:19) Breaking down overwhelming tasks into manageable first steps (23:40) The yappers API: talking to Claude instead of building integrations (25:28) Daily logging and observation patterns (27:45) Quick summary (30:50) The power of screenshots (32:55) 10x impact framework for automation decisions (37:51) Applying the framework to different career stages (39:29) Building a “recording on” skill for anonymizing demos (44:11) Building a returns tracking skill from scratch (48:31) Building the muscle memory to reach for AI tools (50:18) Where to find Hilary — Tools referenced: • Claude Code: https://claude.ai/code • Obsidian: https://obsidian.md/ • iPhone Shortcuts: https://support.apple.com/guide/shortcuts/welcome/ios • Cursor: https://cursor.sh/ — Other references: • Figma file Hilary demo’ed: https://www.writerbuilder.com/howiai — Where to find Hilary Gridley: Substack: https://hils.substack.com/ Website: https://writerbuilder.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.

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مقطع ترويجي

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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.

المعلومات

  • صناع العمل
    Claire Vo
  • سنوات النشاط
    ٢٠٢٥ - ٢٠٢٦
  • الحلقات
    ٧٠
  • التقييم
    ملائم
  • حقوق النشر
    © Claire Vo
  • موقع البرنامج على الويب
    How I AI

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