Build With AI

Corey Ganim

Most AI podcasts talk about what's possible. Build With AI shows you how it's done, live. Each episode, host Corey Ganim brings on entrepreneurs and operators who share their screen and build real AI automations, workflows, and tool setups right in front of you. No boring slides. Nothing that hasn't been battle-tested. You'll watch actual implementations get built from scratch so you can follow along and do the same in your business. If you're a non-technical entrepreneur who wants to put AI to work without becoming a developer, hit play and build along with us.

  1. 1 HR AGO

    # 159 Build STUNNING Websites with Claude Code + Google Stitch (full walkthrough)

    I sit down with Leon van Zyl, who ran a web design company for 10 years and now teaches over 700 people how to build real applications with coding agents. We walk through his exact workflow for building professional, client-ready websites using Google Stitch for the design system and Claude Code for the build — no coding skills required. Leon shows the difference between a one-shot AI-generated site and what you get when you front-load the design system before touching code. By the end, you'll have a repeatable workflow for going from design concept to finished website — including custom AI images that match your brand. Links Mentioned: Google Stitch: https://stitch.withgoogle.com Claude Code: https://docs.anthropic.com/en/docs/claude-code Cursor: https://www.cursor.com Next.js: https://nextjs.org Stitch MCP Server Docs: https://stitch.withgoogle.com/docs/mcp Stitch Skills: https://stitch.withgoogle.com/docs/skills Timestamps 00:00 – Intro 00:06 – What you'll learn: design systems for client-ready websites 02:04 – Jumping into the screen share 02:25 – The problem: one-shot AI websites look terrible 03:52 – The Stitch workflow result: side-by-side comparison 07:32 – Starting from a vanilla Next.js project 08:50 – What is Google Stitch and how to get started 10:00 – Prompting Stitch with brand details, fonts, and colors 13:00 – Why design systems matter for coding agents 16:00 – Iterating on the homepage before building more pages 17:44 – Sharing Stitch designs with clients for approval 21:23 – Setting up the Stitch MCP server in Claude Code 23:18 – What an MCP server actually is (simple explanation) 25:56 – Pulling the design system into your project 28:47 – Memory files: Claude.md vs Agents.md explained 33:24 – Converting the Stitch design into a working website 35:06 – Installing the Stitch React Components skill 41:11 – When to use this workflow: client work vs personal projects 44:27 – Viewing the finished website vs the Stitch mockup 48:27 – Downloading and converting images to WebP for performance 53:46 – Generating custom AI images with Nano Banana Pro 58:14 – Final result with branded AI-generated hero image 01:00:48 – Key takeaways and wrap-up FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ FIND LEON ON SOCIAL YouTube: https://www.youtube.com/@leonvanzyl

    1hr 5min
  2. 2 DAYS AGO

    # 158 Claude Code Routines Clearly Explained (and why it matters)

    Claude Code just dropped routines, and when I first saw the three options — routine, schedule, and loop — I had no idea when to use which. In this video, I break down all three modes in plain language and then demo building a routine from scratch using an X trend scanner I already had in my skill library. You'll see the full setup: GitHub connection, system prompt config, trigger options, and connector permissions. By the end, you'll know exactly which mode to use for any automation you want to build and how to get your first routine live. Links Mentioned: Claude Code Routines: https://claude.ai/code/routines GitHub: https://github.com Timestamps 00:00 – Intro: The confusion with Claude Code's new features 00:20 – The three modes: routine, schedule, and loop 00:50 – When to use each mode (simple breakdown) 01:10 – Using Claude Code to find a skill to demo 01:45 – Selecting the X scan routine 02:00 – GitHub requirement for routines explained 02:18 – Creating a new routine at claude.ai/code/routines 02:35 – Naming your routine and connecting your GitHub repo 02:50 – Dropping in your system prompt 03:05 – Setting the schedule trigger (10am Eastern daily) 03:20 – Configuring connectors and permission sets 03:40 – Running on demand and reviewing the output 04:10 – Full recap of all three modes Key Points * Claude Code has three automation modes — routine (runs on Anthropic's cloud, set it and forget it), schedule (needs local access, also available in Cowork), and loop (immediate execution in the CLI). Picking the wrong one means your automation won't work the way you expect. * Routines require a GitHub repository. You can't create one without it, so get your repo connected before you start. * The whole setup happens at claude.ai/code/routines — no coding required beyond having a system prompt in markdown format ready to paste in. * Routines support three trigger types: time-based schedule, GitHub event, or API call. That gives you flexibility depending on whether you want it cron-based, push-based, or fired from another system. * The X trend scanner ran automatically and surfaced several trending topic candidates with suggested content angles — zero manual research, just results ready to use. FIND ME ON SOCIAL X/Twitter: https://x.com/GanimCorey Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ FIND NICK ON SOCIAL X: https://x.com/NickSpisak_ LinkedIn: https://www.linkedin.com/in/nicholasspisak/ YouTube: https://www.youtube.com/@UCusMlMDWZS0uOlhgL0M_q-A

    5 min
  3. 6 DAYS AGO

    # 157 Claude Managed Agents Clearly Explained (and why it matters)

    Grab the free Google Doc to build and deploy your first Claude Managed Agent in 60 seconds: https://return-my-time.kit.com/2872b904f5 I sit down with Nick Spisak, an AI agent builder who deployed his first Claude Managed Agent the same week Anthropic released the capability, to break down exactly what this platform is, who it's for, and when it makes financial sense to use it. We walk through the four user personas Claude Managed Agents is built for. Links Mentioned: Corey's X article: https://x.com/coreyganim/status/2042286607449874527 Nick's X article: https://x.com/NickSpisak_/status/2041949191887262164 Timestamps 00:00 – Intro 00:05 – What is Claude Managed Agents? 00:29 – Architecture: decoupling tools, sessions, and orchestration 01:15 – Who managed agents is and isn't for 01:33 – The four user personas breakdown 03:58 – Why AI Tinkerers should stick with Claude Code subscription 04:21 – Free Google Doc: build your first agent in 60 seconds 05:28 – Platform-as-a-service model explained 05:43 – Cost comparison: Managed Agents vs Agent SDK 06:09 – Live look inside platform.claude.com 06:23 – Workbench, sessions, and output walkthrough 08:16 – Sessions: tool calls vs. finished output explained 08:31 – Analytics dashboard and real cost breakdown 09:36 – When the ROI math works (and when it doesn't) 11:18 – Next steps: articles on X, how to get started 12:04 – Outro Join the Build With AI community - weekly AI implementations, live coaching, and templates built for non-technical entrepreneurs: https://www.skool.com/buildwithai/about FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim FIND NICK ON SOCIAL X: https://x.com/NickSpisak_ LinkedIn: https://www.linkedin.com/in/nicholasspisak/ YouTube: https://www.youtube.com/@nickspisak_

    13 min
  4. 7 APR

    # 156 Build Karpathy's Second Brain With Obsidian + Claude Code

    Download Nick's free second brain skill -- one-click install that sets up your entire Obsidian vault and ingestion workflow inside Claude Code: https://return-my-time.kit.com/286e11f7e6 I brought on Nick Spisak to build a complete second brain live -- start to finish, in under 20 minutes. By the end of this episode, you'll know exactly how to build your own second brain -- and you can grab Nick's free skill to do it in one click. Timestamps 00:00 - Intro and Karpathy's viral second brain tweet 00:24 - What the second brain concept is 03:28 - Obsidian Web Clipper: scraping pages into your vault 04:41 - Nick's free skill: wizard, ingest, query, and lint commands 05:53 - Live demo: running the setup wizard in Claude Code 08:38 - How many vaults to manage: personal vs. business 10:30 - Opening the vault and exploring the file structure 12:21 - Graph view: seeing connections between your data 15:38 - Ingest command: raw data into organized wiki 16:29 - Automating ingestion on a cron schedule 19:12 - Compounding value and syncing the vault across devices 20:19 - Pruning the vault with the lint command 21:53 - Your data set as a moat in the AI age Key Points * Karpathy released a framework for building an LLM knowledge base. Nick turned it into a free Claude skill with a guided setup wizard, ingest, query, and lint commands -- works across Claude Code, Codex, Gemini CLI, and more. One-click install, no coding required. * The system runs on three tiers: raw (brain dump), wiki (AI-organized knowledge base), and outputs (answers from querying). Drop files into raw, run ingest, and the AI maps everything into structured wiki entries with relationship graphs. * You can automate ingestion using Claude Code's loop feature so the vault stays current without manual work. Pair with Obsidian's paid sync tier and a note captured on your phone is indexed before you're back at your desk. * The lint command health-checks your wiki for outdated entries and missing connections -- and tells you exactly what to clip next to close the gaps. The wiki tells you what it doesn't know yet. * Day zero this thing is basic. Day 90 it's a company asset no competitor can copy. Your private knowledge base is the foundation for every agent and skill you build -- and nobody else will have it. Join the Build With AI community - weekly AI implementations, live coaching, and templates built for non-technical entrepreneurs: https://www.skool.com/buildwithai/about FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim FIND NICK ON SOCIAL X: https://x.com/NickSpisak_ LinkedIn: https://www.linkedin.com/in/nicholasspisak/ YouTube: https://www.youtube.com/@nickspisak_

    22 min
  5. 27 MAR

    #153 How to Set Up OpenClaw in 7 Minutes (Step-by-Step Guide)

    Grab the free one-page OpenClaw setup guide with every step and command listed out: https://corey-ganim.kit.com/c93f43577e I walk through the complete OpenClaw setup process from zero to a working AI agent connected to Telegram — all in under seven minutes. You'll see every step: running the installer, configuring your Anthropic API key, creating a Telegram bot through BotFather, pairing it to your OpenClaw instance, and enabling web search with DuckDuckGo. One prerequisite, one terminal command, and you're live. Key Takeaways: OpenClaw installs with a single terminal command — the only prerequisite is having Node.js installed, which is also a one-command setupThe guided onboarding handles every configuration decision (model, API key, channel, search) through simple yes/no prompts — no manual config filesCreating a Telegram bot through BotFather takes about 60 seconds: message BotFather, run /newbot, choose a name ending in "bot," and copy the tokenDuckDuckGo is the fastest search provider to start with because it requires zero additional API keys or setupSkills and hooks can be added after the initial install — you don't need to configure everything before getting your agent runningThe OpenClaw control panel gives you a browser-based chat window plus access to channels, sessions, usage stats, cron jobs, files, skills, and nodesTimestamps: 00:00 - Introduction 00:02 - Running the OpenClaw installer from the terminal 00:30 - Node.js prerequisite (quick install) 00:45 - Guided onboarding: Quick Start setup 01:05 - Choosing Anthropic as your model provider 01:20 - Entering your Anthropic API key 01:35 - Selecting Claude Sonnet 4.6 01:52 - Creating a Telegram bot with BotFather 02:45 - Naming your bot and choosing a username 03:15 - Connecting the bot token to OpenClaw 03:30 - Enabling DuckDuckGo web search 03:45 - Skipping skills and hooks (configurable later) 04:06 - OpenClaw control panel overview 04:30 - First chat with your bot in the browser 05:15 - Pairing the bot with your Telegram account 06:10 - First Telegram message confirmed 06:30 - Setup complete — next steps for personalization Links Mentioned: OpenClaw: https://openclaw.aiAnthropic API Console: https://console.anthropic.comBotFather (Telegram): https://t.me/BotFatherDuckDuckGo: https://duckduckgo.comNode.js: https://nodejs.orgEnjoyed this episode? -> Subscribe and leave a review -> Join the community waitlist: https://return-my-time.kit.com/1bd2720397

    7 min

About

Most AI podcasts talk about what's possible. Build With AI shows you how it's done, live. Each episode, host Corey Ganim brings on entrepreneurs and operators who share their screen and build real AI automations, workflows, and tool setups right in front of you. No boring slides. Nothing that hasn't been battle-tested. You'll watch actual implementations get built from scratch so you can follow along and do the same in your business. If you're a non-technical entrepreneur who wants to put AI to work without becoming a developer, hit play and build along with us.

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