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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In this solo episode, I walk through seven ways to land clients for your AI services business — starting with the method that personally got me seven qualified leads in about two hours of total effort. I cover everything from hosting a local AI meetup to knocking on doors to LinkedIn outreach to building agency partnerships, and I break down exactly what to say and do at each step. Every method ties back to one simple foot-in-the-door offer that converts cold strangers into paying clients. By the end, you'll know where to start, what to prioritize first, and how to stack these methods to build a real pipeline fast.
Join AI Operator Academy where we go even deeper on selling AI services, finding clients, and building an AI Operating System: https://aoa.community/
00:00 – Intro 00:00 – Method 1: Host a local AI for small business meetup 02:24 – The follow-up that makes the meetup worth it 02:50 – Method 2: Door knocking local service businesses 04:47 – Method 3: LinkedIn outreach without being spammy 06:30 – Method 4: Free audits for people in your network 07:10 – Documenting wins and building early testimonials 08:10 – Method 5: Partnering with agencies, coaches, and consultants 09:35 – Method 6: Hosting AI office hours at a co-working space 11:56 – Method 7: Posting your wins on LinkedIn 13:30 – Where to start: the three methods to do first
Key Points
Hosting a local AI for small business meetup is the single best method to start with. Find a free venue (library, co-working space, or a realtor's office), set up an Eventbrite or Luma page, give a 20-minute talk on basic AI tools, and capture every name, phone number, and email at the door. The magic is in the follow-up within 24 hours.
The foot-in-the-door offer that powers every method on this list is a free 15-minute mini AI assessment. You're not selling anything upfront — you're prescribing one simple AI tool specific to their business. That assessment is what converts conversations into paying clients.
Door knocking local service businesses is the lowest-hanging fruit if you want a client today. One person went into 30 businesses, got five appointments, and landed two paying clients. If you do 10 walk-ins a week consistently, you will get clients.
Partnering with marketing agencies, coaches, and consultants is the highest long-term value method on the list. These partners already have your future clients as their clients, and most of them have no good answer when those clients ask about AI. You become their go-to AI resource and offer a cut of any work they send your way. One good partner can send you 50 to 100 leads over the course of a year.
Hosting AI office hours at a co-working space gives you free marketing and free exposure while positioning you as the local AI expert. You show up for two hours, answer member questions for free, and document every single question — those become your social media content and your client pipeline.
Every free audit, every question you answer, every text message that says "wow, I didn't know that" is an early win and an early testimonial. Screenshot all of it. These are your case studies for landing the next client and building toward charging $999 for a full paid assessment.
LinkedIn is the best platform for landing AI services clients. Post three to five times a week mixing wins, answers to common questions, and real education. Stay top of mind so that when someone needs an AI expert, you're the first person they call.
Luma - Event registration platform for hosting and promoting your AI meetup - https://lu.ma
Eventbrite - Free event pages to get attendees registered and confirmed - https://www.eventbrite.com
AI Operator Academy - https://www.skool.com/aioperatoracademy/about
How to build a $10K/month AI consulting business in 90 days (step-by-step)
Episode 168
Tuesday, June 2, 2026 • Duration 15:22
In this solo episode, I walk through the exact offer I'm using to make over $1,000 an hour with AI consulting — the AI Concierge Offer — and break it down step by step so you can replicate it. I cover every piece of the infrastructure: the pre-call intake form I built in Jotform, the two 45-minute done-with-you strategy calls every month, the Voxer access setup with a real SLA, and the Notion documentation hub that tracks every automation we build together. I also show you how two Claude skills handle all my post-call follow-up in 30 seconds flat, and walk through exactly how I price this — from $1,000 a month to start, all the way up to where I'm at now at $2,000 a month with a 100% close rate. By the end of this episode, you'll have a complete blueprint to go build your own AI consulting business and land your first paying clients.
00:00 – Making over $1,000/hour with the AI Concierge Offer
01:40 – The pre-call intake form built in Jotform
03:40 – The two 45-minute done-with-you strategy calls
04:30 – The AOA framework: Audit, Optimize, Automate
06:00 – Voxer access and the 12-hour SLA
08:00 – The Notion documentation hub walkthrough
09:56 – How two Claude skills automate post-call follow-up
12:15 – Pricing: from $1,000 to $2,000/month and when to raise rates
14:23 – How to get the full templates and business model
Key Points
The AI Concierge Offer is a done-with-you consulting engagement, not done-for-you. Two 45-minute strategy calls per month plus unlimited Voxer access — that's roughly 1.5 hours of your time per client at $1,500/month, which works out to $1,000 an hour.
Build STUNNING Websites with Claude Code + Google Stitch (full walkthrough)
Episode 1
Friday, April 17, 2026 • Duration 01:05:07
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.
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
Claude Code Routines Clearly Explained (and why it matters)
Episode 1
Tuesday, April 14, 2026 • Duration 05:11
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.
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 — no coding required beyond having a system prompt in markdown format ready to paste in.
Claude Managed Agents Clearly Explained (and why it matters)
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.
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
Build Karpathy's Second Brain With Obsidian + Claude Code
Episode 1
Tuesday, April 7, 2026 • Duration 22:21
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
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.
Perplexity Computer Masterclass for Beginners (full tutorial)
Episode 1
Friday, April 3, 2026 • Duration 46:19
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.
I Replaced an 8-Person Marketing Team With Claude Code (full tutorial)
Episode 1
Wednesday, April 1, 2026 • Duration 01:12:01
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.
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 setup
The guided onboarding handles every configuration decision (model, API key, channel, search) through simple yes/no prompts — no manual config files
Creating a Telegram bot through BotFather takes about 60 seconds: message BotFather, run /newbot, choose a name ending in "bot," and copy the token
DuckDuckGo is the fastest search provider to start with because it requires zero additional API keys or setup
Skills and hooks can be added after the initial install — you don't need to configure everything before getting your agent running
The OpenClaw control panel gives you a browser-based chat window plus access to channels, sessions, usage stats, cron jobs, files, skills, and nodes
Timestamps:
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
Automate Social Media with AI: How I Post Content 100% On Autopilot (full guide)
Episode 1
Wednesday, March 25, 2026 • Duration 30:49
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 Introduction
Kevin 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.
The AOA framework — Audit, Optimize, Automate — is the operating system for every client engagement. You fix the process first before you ever touch automation, so you're not just automating broken workflows.
A pre-call Jotform intake questionnaire sent before the first paid call surfaces the client's biggest bottlenecks and makes the first session actually productive from minute one. If they haven't filled it out, reschedule — it's not optional.
The Notion documentation hub is the renewal mechanism. When clients can see a running quantified list of every skill, workflow, and automation you built together, the $1,500 or $2,000/month fee is easy for them to justify.
Two Claude skills handle all post-call admin in 30 seconds — one populates the Notion call log from the transcript, the other pulls out action items and drafts a follow-up email to the client. Build the infrastructure once and it runs itself.
When you're closing 100% of your sales calls, your price is too low. Start at $1,000/month, move to $1,500 once you have two clients, and keep raising until people push back. Corey is currently at $2,000/month and still closing every pitch.
Cap yourself at six clients. More than that and service quality degrades — and at $2,000/month, six clients is $12,000/month for roughly 9 hours of strategy call time.
Links Mentioned
AI Operator Academy — community with the full AI Concierge Offer business model, Jotform template, Notion hub template, and both Claude skills included: https://www.skool.com/aioperatoracademy/about
Voxer — walkie-talkie style async voice messaging app used for client communication between strategy calls: https://www.voxer.com
Jotform — form builder used to create the pre-call AI concierge intake questionnaire: https://www.jotform.com
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
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
* 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.
* 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
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