Build With AI

Corey Ganim
  • 5.0 (37)
  • 创业
  • 一周一更

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天前

    # 162 Cracking the X algorithm with Claude Code

    Tom Crawshaw (8+ years in automations, $25M+ in attributed e-com revenue) cracks open the content system that's pulled him millions of views. We walk through the Claude Code skill he built that handles voice profile, copywriting principles, hook scoring, image prompts, and a humanizer pass from one slash command. He also surfaces a hidden Claude Code feature called /insights that audits your full usage history and tells you what to build next. You'll learn how to turn messy ChatGPT workflows into a real skill, why Whisperflow is non-negotiable, and the one slash command 99% of Claude Code users are sleeping on. Timestamps 00:00 Intro 00:30 Tom's automation background 03:30 Skills vs. Projects on context 08:30 Auto-updating voice profile from X 11:00 Nano Banana plus Canva workflow 23:30 Live demo: a Whisperflow post 34:30 Hook scoring with copywriting principles 46:30 The hidden /insights command 54:30 Skills vs. n8n vs. Lovable Key Points Skills beat Claude Projects on context. Projects load every reference file on every message. A skill works like a book: Claude pulls only the chapter it needs, so a full pipeline runs in one chat. Tom's skill auto-updates his voice profile weekly. The X API pulls his last 7 days of posts, ranks by engagement, and rewrites the profile so the skill keeps drifting toward what's working. /insights is the most slept-on feature in Claude Code. It audits your full session history and hands back a real report: what's working, where you're breaking your own rules, skills to build, and prompts to run. Image gen is 80% Nano Banana, 20% Canva. Generate fast in the AI tool, then finish in Canva with magic grab and magic erase. Whisperflow changed how Tom and Corey think, not just type. Speaking forces tighter thinking and makes prompts richer because adding context costs almost nothing. Links Claude Code: https://www.anthropic.com/claude-code Whisperflow: https://wisprflow.ai/ Nano Banana: https://gemini.google.com/ Canva: https://www.canva.com/ n8n: https://n8n.io/ Tom's site: https://learnn8nautomation.com/ Build With AI: https://www.skool.com/buildwithai/about FIND ME ON SOCIAL X: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim TOM ON SOCIAL X: https://x.com/TomCrawshaw01 YouTube: https://www.youtube.com/@TheAIGrowthLab Website: https://learnn8nautomation.com/

    57 分钟

  2. 4月29日

    # 161 How I'm AI-maxxing boomer businesses to make f*ck you money

    Free audit template Corey is giving away — https://audittemplate.ai In this episode, I sat down with Chris Koerner and outlined how I sell AI assessments to small businesses. Timestamps 00:00 – Intro 00:33 – The $1,000 AI audit pitch 01:10 – The lunch conversation that started it all 02:23 – Why 99 out of 100 owners need this 02:57 – Why Loom screen recording failed 04:25 – From Zoom calls to a voice agent 05:31 – Meet Annie, the AI interviewer 06:17 – Live demo of the voice agent 08:06 – How the voice agent was built (Retell + skills) 10:18 – Walking through a real assessment in Gamma 12:00 – The effort vs impact matrix 13:00 – Wedding venue saves 8 hours with Dash This 15:16 – Pricing journey: free to $1,000 17:30 – Why charging more makes upsells easier 18:02 – The full upsell menu breakdown 22:00 – Custom GPT knowledge system for a business broker 24:46 – Which industries this works best for 25:53 – Seven ways to find clients with no followers 26:39 – Hosting a local AI meetup 27:30 – Door-knocking businesses in 2026 29:25 – Using free audits to land warm contacts 30:30 – Running free AI office hours 31:30 – Hard-won lessons and the speed-to-lead upsell 34:36 – The simple Claude prompt that builds the audit 35:33 – Where to find Corey Key Points The business started from one lunch where a friend said he'd pay $1,000 just to be followed around for a day. After validating with 50–100 owners, Corey found 99 out of 100 small business owners need this — they just don't know which AI tools to use. The upsell menu is built into the report. Common follow-ons: process optimization ($3K–$5K), Zapier or Make automation builds ($1K–$3K), custom GPT knowledge systems, CRM setups (high-level CRM at $3K–$5K), and speed-to-lead AI agents tied directly to revenue. The seven-way client acquisition playbook works with zero followers: host a local AI meetup on Luma or Meetup.com, door-knock local businesses, run free audits for your network, host free AI office hours at coworking spaces or realtor offices, partner with well-connected locals, and lean on warm intros from your CEO peer group. You don't need to be an AI expert. As Corey puts it, you just need to be one step ahead of your average client — which is about seven days of studying. The realtor's office where he hosted his free AI meetup turned into paying assessment work. The Claude prompt to generate an audit is dead simple: attach the transcript, tell Claude to find off-the-shelf tools that fix the pain points, and point it at directories like Futurepedia or There's An AI For That. 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

    36 分钟

  3. 4月23日

    # 160 EASY Claude Cowork Setup (full beginner tutorial)

    In this solo episode, I walk through the exact process of setting up Claude Cowork from scratch — the right way — using the free Cowork Onboarding plugin I built and made open source. I go step by step through the full onboarding flow, from picking your workspace folder and connecting tools, to building three core context files (About Me, Brand Voice, and Working Style), generating global instructions that tie everything together, setting up scheduled tasks like a daily morning briefing and quarterly context review, and running an optional security review to lock in sensible rules. Timestamps 00:00 – Why Cowork is useless out of the box 02:22 – Starting the onboarding flow from scratch 03:30 – Choosing workspace folder and onboarding path 04:37 – Workspace structure and file access permissions 05:45 – Connecting Google Workspace tools (Gmail, Drive, Calendar) 06:56 – Building context files: About Me, Brand Voice, Working Style 10:58 – Linking existing brand materials from Google Drive 12:44 – Generating global instructions from your context files 15:00 – Skills and plugin recommendations from the marketplace 17:24 – Setting up scheduled tasks: morning briefing and quarterly review 19:46 – Running the optional security review 23:23 – Wrapping up: what we built and the two manual steps left Key Points Most people skip the onboarding and then wonder why Cowork feels generic. The entire point of setting it up properly — building context files and global instructions — is so Claude never has to ask who you are again. Every session loads with that context automatically.The three context files (About Me, Brand Voice, Working Style) are the foundation of the whole setup. Without them, Cowork is writing responses for a stranger. With them, it knows your business, how you communicate, and how you like your deliverables structured.Global instructions are the piece most people miss. Once you paste your generated global instructions into Cowork's settings, every single session loads that context from the start — no repeating yourself, no re-explaining your preferences. Links Mentioned Free Cowork Onboarding plugin — download it to run the full guided setup described in this episode: https://return-my-time.kit.com/f00d78554c Build with AI community — get the full onboarding plugin including the self-assessment, workflow audit, and custom skill blueprints tailored to your business: https://www.skool.com/buildwithai/about WisprFlow — the talk-to-text tool used during the onboarding to answer Claude's questions faster: https://wisprflow.ai 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

    27 分钟

  4. 4月17日

    # 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

    1 小时 5 分钟

  5. 4月14日

    # 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 分钟

  6. 4月10日

    # 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 分钟

  7. 4月7日

    # 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 分钟

  8. 4月3日

    # 155 Perplexity Computer Masterclass for Beginners (full tutorial)

    Eliot Prince is an SEO specialist with 10+ years of experience ranking businesses at the top of Google. He's now deep in the AI world, coaching businesses on how to do SEO faster and better using AI tools. In this episode, Eliot walks through how he's using Perplexity Computer to build repeatable SEO machines — systems that audit websites, generate deliverables, and even push changes live to WordPress, all from a single conversation. We run a live audit on ReturnMyTime.com, watch three audit modules execute in parallel, and dig into the results — competitive analysis, keyword gaps, technical fixes, and auto-generated page copy. Eliot also demos a LinkedIn lead machine he built that reads DMs, scores leads, and drafts replies automatically using Perplexity's Linkup API connector. The big takeaway: Perplexity Computer runs 19 LLM agents in the cloud simultaneously, meaning you can build systems that would traditionally take weeks of manual work or expensive SEO tool subscriptions - and you don't need to write a single line of code to do it. Find Eliot YouTube's channel here:@princeeliot Join the Build With AI community here: https://www.skool.com/buildwithai/about

    46 分钟
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关于

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.

信息

  • 创作者
    Corey Ganim
  • 活跃年份
    2023年 - 2026年
  • 单集
    162
  • 分级
    儿童不宜
  • 版权
    © 2026 Corey Ganim
  • 节目网站
    Build With AI

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