How I AI Podcast Por Claire Vo arte de portada

How I AI

How I AI

De: Claire Vo
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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.Claire Vo
Episodios
  • Claude Cowork 101: How to automate your workday without touching code | JJ Englert (Tenex)
    Apr 13 2026
    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 todayCursor—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/UCv2ovDhYVtlJw4QMidLFP8QX: https://twitter.com/jjenglertLinkedIn: 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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    50 m
  • I built a custom Slack inbox. It was easier than you’d think. | Yash Tekriwal (Clay)
    Apr 8 2026
    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 truthThoughtSpot—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_tekCompany: 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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    45 m
  • I gave Claude Code our entire codebase. Our customers noticed. | Al Chen (Galileo)
    Apr 6 2026
    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 workflowsTines—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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    46 m
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