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Build With AI
Build With AI
Author: Corey Ganim
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© 2026 Corey Ganim
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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.
157 Episodes
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Grab the free Google Doc to build and deploy your first Claude Managed Agent in 60 seconds: https://return-my-time.kit.com/2872b904f5I 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/2042286607449874527Nick's X article: https://x.com/NickSpisak_/status/2041949191887262164Timestamps00:00 – Intro00:05 – What is Claude Managed Agents?00:29 – Architecture: decoupling tools, sessions, and orchestration01:15 – Who managed agents is and isn't for01:33 – The four user personas breakdown03:58 – Why AI Tinkerers should stick with Claude Code subscription04:21 – Free Google Doc: build your first agent in 60 seconds05:28 – Platform-as-a-service model explained05:43 – Cost comparison: Managed Agents vs Agent SDK06:09 – Live look inside platform.claude.com06:23 – Workbench, sessions, and output walkthrough08:16 – Sessions: tool calls vs. finished output explained08:31 – Analytics dashboard and real cost breakdown09:36 – When the ROI math works (and when it doesn't)11:18 – Next steps: articles on X, how to get started12:04 – OutroJoin the Build With AI community - weekly AI implementations, live coaching, and templates built for non-technical entrepreneurs: https://www.skool.com/buildwithai/aboutFIND ME ON SOCIALX/Twitter: https://x.com/coreyganimInstagram: https://www.instagram.com/coreyganim/LinkedIn: https://www.linkedin.com/in/coreyganim/YouTube: https://www.youtube.com/@coreyganimFIND NICK ON SOCIALX: https://x.com/NickSpisak_LinkedIn: https://www.linkedin.com/in/nicholasspisak/YouTube: https://www.youtube.com/@nickspisak_
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/286e11f7e6I 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.Timestamps00:00 - Intro and Karpathy's viral second brain tweet00:24 - What the second brain concept is03:28 - Obsidian Web Clipper: scraping pages into your vault04:41 - Nick's free skill: wizard, ingest, query, and lint commands05:53 - Live demo: running the setup wizard in Claude Code08:38 - How many vaults to manage: personal vs. business10:30 - Opening the vault and exploring the file structure12:21 - Graph view: seeing connections between your data15:38 - Ingest command: raw data into organized wiki16:29 - Automating ingestion on a cron schedule19:12 - Compounding value and syncing the vault across devices20:19 - Pruning the vault with the lint command21:53 - Your data set as a moat in the AI ageKey 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/aboutFIND ME ON SOCIALX/Twitter: https://x.com/coreyganimInstagram: https://www.instagram.com/coreyganim/LinkedIn: https://www.linkedin.com/in/coreyganim/YouTube: https://www.youtube.com/@coreyganimFIND NICK ON SOCIALX: https://x.com/NickSpisak_LinkedIn: https://www.linkedin.com/in/nicholasspisak/YouTube: https://www.youtube.com/@nickspisak_
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:@princeeliotJoin the Build With AI community here: https://www.skool.com/buildwithai/about
James Dickerson (AKA The Boring Marketer) has been consulting businesses on marketing and growth since 2012 — and he's now using Claude Code to do what used to require a $5-10K/month agency. In this episode, James goes screen-share and builds a complete marketing funnel live from scratch: a landing page, a quiz funnel, a 14-day email nurture sequence, and dozens of social and SEO content assets — all inside Claude Code with zero coding. We break down the psychology behind high-converting email sequences (micro commitments, reciprocity, objection handling), how James's "skills" system encodes expert marketing knowledge into portable AI instruction files, and why anyone with these tools can immediately outperform 80% of marketers. If you've been procrastinating on Claude Code, this is your sign to just download an IDE and start.X: https://x.com/BoringMarketerWebsite: https://vibemarketer.comYoutube: @theboringmarketer
Grab the free one-page OpenClaw setup guide with every step and command listed out: https://corey-ganim.kit.com/c93f43577eI 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 personalizationLinks 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
What if you could describe an automation in plain English and get a fully functional web app back in 15 minutes? In this episode, Kevin Fernando walks through exactly how he built a daily social media post generator using a tool called Appy. The agent researches trending stories in your niche every morning at 7 AM, writes platform-specific posts in your voice (not generic AI slop), generates properly sized images for each platform, and emails you the drafts. Kevin built it live, deployed it to the web, and even had Corey sign up and generate posts in real time during the episode. If you've been building automations in Make.com or N8N, this is the next evolution.Guest IntroductionKevin Fernando a 20-year entrepreneur, former head of marketing for multiple SaaS companies, e-commerce store builder/seller, and former agency owner (six years). Kevin now runs the Solopreneur YouTube channel where he teaches entrepreneurs how to get more leverage from AI tools and software without needing a team.YouTube: youtube.com/solopreneurKevin just dropped the full step-by-step Appy tutorial on his channel. Watch it here and grab the exact prompt he used:Full Tutorial: https://youtu.be/eOkSQgh5UJoGrab the Prompt: https://solopreneur2020.kartra.com/page/appy-prompt
Corey puts two leading agentic AI tools head-to-head in a real-world showdown. He tests Perplexity Computer ($200/month) against Manus ($20/month) across three practical use cases: multi-source research with website deployment, connected app integrations with Google Workspace, and data collection with visualization. You'll see exactly how each tool performs on speed, accuracy, output quality, and which one earns Corey's recommendation for 2026.Join the Build With AI community waitlist: https://return-my-time.kit.com/1bd2720397• Perplexity Computer completed tasks 5-10x faster than Manus across most tests — finishing in 60 seconds what took Manus 10 minutes • Both tools nailed data accuracy when researching AI startup funding, pulling identical figures from TechCrunch • Perplexity's Google Workspace integration produced cleaner, properly formatted deliverables (tables, headers, structured docs) while Manus output jumbled text• For website deployment, Manus actually had slightly better UI design — but both successfully created shareable public URLs • When stuck, Perplexity self-corrected and found the data; it recovered gracefully from errors • ClickUp was recommended by both tools as best value for project management pricing ($12/user/month for Business plan) • Perplexity Computer wins overall for speed, output quality, and cleaner UI despite the 10x higher price tagTimestamps: 00:00 - Introduction and test overview 00:30 - Pricing comparison ($200 vs $20 plans) 01:00 - Test 1: Multi-source research + website deployment14:04 - Test 1 results: Speed comparison (2 min vs 10 min)16:25 - Website design comparison18:30 - Test 2: Gmail + Calendar + Google Docs integration27:14 - Test 2 results: Output quality comparison 29:40 - Perplexity's formatted table vs Manus' jumbled text 32:00 - Test 3: Data collection, analysis, and visualization 39:30 - Test 3 results: Bar charts and pricing spreadsheets 41:52 - Final verdict and recommendationLinks Mentioned: Perplexity Computer vs Claude Cowork: https://youtu.be/_s0ymvl6vNc• Perplexity Computer: https://perplexity.ai/ • Manus: https://manus.im/
What if you could go from a blank folder to a fully functional competitive research tool complete with scoring rubrics, interactive dashboards, and repeatable skills—in under an hour? In this episode, marketing veteran Adam Sandler (yes, that's his real name) shares his screen and builds the entire workflow live using a real-world use case: finding distressed wedding venues in North Carolina for a friend's acquisition business. No coding. No technical background. Just Claude Code, plain English, and a process that any knowledge worker can replicate.Check Adam's youtube channel:https://www.youtube.com/@ViableEdge
Nick Spisak, a 15-year software veteran turned AI entrepreneur, walks through the complete OpenClaw setup for non-technical users. You'll learn how to install your first instance, give it skills that read documentation for you, and troubleshoot any issue using natural language. Nick even gives away his "OpenClaw Prime" skill that turns any coding agent into an OpenClaw expert, plus a visual step-by-step diagram.• OpenClaw Prime Skill: https://corey-ganim.kit.com/f1f13dee60• Excalidraw Setup Diagram: https://corey-ganim.kit.com/ab1cc7ab21Key Takeaways:• Build a skill that reads the docs so you don't have to. Nick's "OpenClaw Prime" skill makes Claude Code or Codex an instant OpenClaw expert.• Troubleshooting works 100% of the time. Point your coding agent at your OpenClaw files, describe the issue in plain English, and let it fix itself.• Skills are portable across models. Write it once for Codex, ask AI to convert it for Claude Code or Gemini.• Spend 90% of your time in planning mode. Use Shift+Tab to enter plan mode and remove assumptions before execution.• Real business use case: AI receptionist. Set up OpenClaw on WhatsApp to respond to leads while you're on a job site. One extra $10K roofing lead pays for the whole system.• Telegram is the easiest platform to connect. Message the Bot Father, get your token, plug it into OpenClaw.• Customize your agent's personality via the Soul file. Make it concise, opinionated, and aligned with how you work.Timestamps:00:00 - Introduction and what you'll learn01:02 - Using Claude Cowork + Excalidraw for planning03:46 - WhisperFlow: talk to your terminal with natural language06:30 - OpenClaw Prime skill explained08:41 - Why skills teach AI to "fish" (not just follow tutorials)11:02 - Live troubleshooting demo: bringing Annie back online13:44 - Claude Code vs Codex (skills are portable)16:44 - Planning vs execution mode (the 90/10 rule)19:21 - Real business use cases: AI receptionist for contractors23:28 - 100% success rate troubleshooting (even with no code experience)25:13 - Walkthrough of the Excalidraw setup diagram27:16 - Setting up Telegram (easiest platform)28:51 - Soul file and agent identity customization30:26 - Wrap up and where to get free resourcesLinks & Resources Mentioned:• OpenClaw Docs: https://docs.openclaw.ai• Claude Cowork: https://claude.ai• WhisperFlow: https://whisperflow.com• Ghost TTY (Terminal): https://ghostty.orgEnjoyed this episode?→ Subscribe and leave a review to help others discover the show→ Join the Build with AI Community waitlist: https://return-my-time.kit.com/1bd2720397
Tom Nassr, co-founder and CEO of X-Ray, walks us through building a Zapier Agent from scratch in under 10 minutes. He demonstrates a practical use case: creating an AI agent that scans Gmail for specific emails and delivers a weekly summary to Slack. You'll learn the key difference between Zapier Agents and traditional Zaps, when to use each, and how to think about deterministic vs. non-deterministic automation.Check Tom's youtube channel: https://youtube.com/@xrayautomation Resources Mentioned: • Zapier: https://zapier.com/• X-Ray Website: https://xray.tech/ • X-Ray Search Tool (free): https://search.xray.tech/
In this episode I put two of the hottest AI agent tools head-to-head: Perplexity Computer ($200/mo) vs. Claude Cowork ($20/mo). After running both through three identical real-world tasks, he reveals which tool delivers better outputs, which one goes above and beyond, and whether the 10x price difference is actually justified. Spoiler: the winner might surprise you.Grab the Google doc with the 3 test cases + full prompts here: https://return-my-time.kit.com/389d61df6aTools Mentioned:• Perplexity Computer (Max plan): $200/mo - perplexity.ai• Claude Cowork (Pro plan): $20/mo - claude.ai• Zoho Invoice: zoho.com/invoice• Invoice Ninja: invoiceninja.com• Invoice Sherpa: invoicesherpa.com
Craig Hewitt, founder of the 7-figure SaaS Castos, breaks down how he uses Claude Code to run his entire content marketing operation. Despite not being a developer, Craig built his first Claude Code project in 45 minutes while waiting outside his son's basketball practice. In this episode, he walks through the exact system he uses, demonstrates live builds, and shares his free, open-source SEO Machine project that anyone can download and use today.YouTube: youtube.com/@thecraighewitt
Paul Noon ( aka The AI Professor) joins the show to give a full under-the-hood walkthrough of Google's NotebookLM. Paul's been using this tool daily in his business and personal life, and he breaks down exactly how it works, why it's different from ChatGPT or Gemini, and the real-world use cases that make it a must-have for any business owner. The best part? It's completely free.This episode was inspired by Paul's viral "Top 25 NotebookLM Tips" video on YouTube — this is the deeper dive.Check Paul’s YouTube channel: https://www.youtube.com/@TheProfessor-AI
In this episode, Corey talks with AI automation strategist Ashley Gross about how businesses can build an AI agent that engages website visitors, answers questions, and books demos around the clock. Ashley walks through the workflow behind her own implementation — from capturing conversation data to syncing with CRM tools — and shares how automation helped her reclaim time and tie AI initiatives directly to revenue.
They discuss practical ways small business owners can start using AI, including training agents on SOPs, integrating with existing tech stacks, and focusing on high-impact use cases first. The conversation also explores common mistakes to avoid, such as overwhelming agents with too much data, and how AI insights can inform content and marketing strategy.
Grab Ashley's plug-and-play n8n blueprint free → https://return-my-time.kit.com/6e041f7506
Ryan Doser breaks down the AI tools he actually uses daily after testing hundreds of options. With 10+ years in marketing and 31,000+ YouTube subscribers, Ryan cuts through the noise to share what's worth your time and why 95% of AI tools are just white-labeled wrappers you don't need.
Check Ryan's you tube channel https://www.youtube.com/@RyanDoserAI
Mark Kashef joins the show to demo Claude Cowork and break down how "skills" work compressed, reusable knowledge that Claude can invoke just-in-time without bloating your context window. We watch him build a PowerPoint presentation live using multiple AI agents and discuss how to get started with this powerful new tool.Mark Kashef joins the show to demo Claude Cowork and break down how "skills" work compressed, reusable knowledge that Claude can invoke just-in-time without bloating your context window. We watch him build a PowerPoint presentation live using multiple AI agents and discuss how to get started with this powerful new tool.
YouTube: @Mark_Kashef
In this conversation, Ritesh Verma shares his journey of building an AI app that garnered a $200,000 acquisition offer. He discusses his background in tech, the process of developing the app, understanding market needs, and the strategies he employed for customer acquisition and scaling the business. Ritesh emphasizes the importance of referrals, the app's value proposition for users, and provides insights into the acquisition process, highlighting the potential for lucrative outcomes in the software market.
Take a look at Ritesh’s YouTube channel here: https://www.youtube.com/@rkumarv
Alex Cinovoj grew his LinkedIn following from 500 to 33,000 in under 10 months—not by posting more, but by building smarter systems. In this hands-on episode, Alex shares his screen and walks through the exact Manus workflow he uses to wake up every morning with a curated industry report ready to turn into content.
We also dig into his experience deploying 47 AI agents (half of which failed), why PDF-format content outperforms on LinkedIn, and his advice for overwhelmed business owners who don't know where to start with AI.
If you want to see how someone actually builds and tests AI solutions in production—not just talks about them—this episode is for you.
LinkedIn: Alex Cinovoj
Brien Gearin breaks down the fundamental shift happening in local search: it's no longer about optimizing for Google—it's about building credibility signals that AI can actually find and trust.
If your business isn't showing up when people ask ChatGPT or Claude for recommendations in your area, this episode explains exactly why (and what to do about it).
Check Brien Gearing LinkedIn: Brien Gearin | LinkedIn
Most entrepreneurs think branding is a logo and a website. They're wrong.
Patrick Hanlon, author of Primal Branding, breaks down the actual framework for building brands that create communities of fanatics—not just customers who'll ghost you for the next competitor.
This is the 20th anniversary of Primal Branding, and the framework is more relevant today than when it was first published in 2006. We dig into the seven pieces of primal code, why having haters is actually essential to your brand, and how AI amplifies (but can't replace) human creativity in branding.
If you're building something and want people who defend your brand instead of just buying from you, this conversation gives you the exact system.
Explore Patrick’s book here: https://www.amazon.com/dp/1451655312





This episode actually reminded me of when I was trying to streamline some of my own admin workflows and realized how powerful automation can be when it’s tied to real outcomes like saving time and reducing friction. Even something as simple as getting official documents can be made easier with the right system in place—https://psaonlineappointment.ph/ helped me see how quickly PSA certificates can be requested online without the usual hassle, which fits perfectly with the idea of reducing manual steps and focusing on higher-impact work.
This reminds me of when I was exploring automation ideas for a small workflow — I even saw a simple real-world example where a service runs fully online without needing any scheduling hassle. For example, you can request a PSA Live Birth Certificate through an automated system anytime without appointments: https://psabirthcertificate.ph/ It kind of shows the same idea you’re talking about — removing friction and letting systems handle requests 24/7.