You Don’t Need 10 Tools | Just Use ChatGPT Like This
This week on The AI Report, Liam Lawson sits down with Celeste Yamile, a personal brand strategist who went from selling Fiverr gigs to building a six-figure business, powered by AI and a loyal LinkedIn audience of 20,000+.Celeste breaks down how she bootstrapped her business using content, systems, and ChatGPT. She shares why most creators fail to connect, how she builds content with her own voice, and how storytelling and structure helped her grow faster than she imagined.We dive into her actual workflow, her AI stack, and the mindset shifts that helped her turn monetizable knowledge into a real income engine.Also in this episode: • Her transition from teaching English to coaching creators • Why ChatGPT still beats Gemini and Claude for her content process • What most creators get wrong about authenticity • How she helps clients build their first digital product • The story behind matching her dad’s 25-year salary with content and coachingThis is an inspiring and tactical breakdown for anyone building a business with content, community, and AI.Subscribe to The AI Report:https://theaireport.beehiiv.com/subscribeJoin the community:https://www.skool.com/the-ai-report-community/aboutChapters:(00:00) Why “How I” Beats “How To”(01:19) From Mexico to the World: Learning Online at 15(03:20) Making Money With Tutorials and Fiverr(06:01) Building a Foundation With YouTube(08:07) The Daily Habit of Taking Action(09:20) LinkedIn vs TikTok: Building with Intention(11:17) The Truth About Good Content(12:10) How Posting Three Times a Week Changed Her Life(13:13) Studying Top Creators With Clio(14:00) A/B Testing Frameworks for Better Results(16:02) Growing From 300 to 86,000 Impressions(17:02) Storytelling as the Ultimate Growth Lever(18:17) Her Daily ChatGPT Workflow(20:18) Batching Content to Beat Creative Burnout(22:09) Custom GPTs That Sound Like You(24:01) You Don’t Need to Sound Like AI—Just Sound Better(26:03) Building a High-Ticket Coaching Offer(28:11) Picking the Right Clients(30:03) Action > Information(33:14) “Buy Back Your Time” by Delegating Right(35:00) Hiring Your First Assistant(36:27) Scaling Toward In-Person Community(37:27) From Corporate Salary to Creator Income(39:01) Why She Wants to Help Others Be Seen
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41:23
Why Your $20 AI Agent Won’t Replace a Team
This week on The AI Report, Liam Lawson is joined by Jake George, founder of Agentic Brain, to cut through the noise on AI agents.Jake shares why most AI agent projects fail, what everyone gets wrong about automation, and why a generalist chatbot will never run your sales team. With experience training agents to act like departments complete with project management, team roles, and reasoning models, Jake walks us through building systems that scale.They talk about how models like o3 and o4-mini are changing the game, why prompting alone won’t get you far, and what innovative businesses are doing to stay competitive in the era of reasoning AI.Also in this episode:The myth of the $20 agentWhy sales automation is still mostly garbageBuilding “department-level” agents from scratchThe new consulting model for AI integrationHow to spot companies faking their AI credibilityJake doesn’t sugarcoat it. He brings the hard truths and deep insights you need to integrate AI into your workflow.Subscribe to The AI Report:https://theaireport.beehiiv.com/subscribeJoin the community:https://www.skool.com/the-ai-report-community/aboutChapters:(00:00) The Myth of $20 AI Employees(02:22) Why Even Smart People Struggle With Agents(04:02) o3, o4-mini, and the New Era of Reasoning(06:05) What Makes an Agent Think(07:01) Building Agents That Act Like Teams(08:25) How Models Reshape the Agentic Brain Playbook(10:07) Why Access to Context Beats Raw Intelligence(12:07) Building for Specific Use Cases(14:03) Training AI the Way You Train People(17:11) Department-Level Agent Workflows(18:24) AI Tools That Will and Won’t Survive(20:12) Where AI Still Fails in High-Ticket Sales(21:02) What Agentic Brain Offers Clients(23:12) The Role of Context in Cold Outreach(25:17) A New Model for AI Consulting(27:00) Why Real Companies Don’t DIY This(29:04) Telling Real and Fake AI Startups Apart(32:27) Pricing Mindsets: $500 vs $5,000 Clients(34:45) Enterprise Expectations and PM Discipline(36:12) Claude’s Secret Advantage(38:05) Model Flexibility and Why OpenAI Still Wins(41:13) Balancing Cost and Accuracy(42:11) Where to Connect With Jake
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42:17
The Hidden Risks of AI Mental Health Apps No One Talks About
This week on The AI Report, Liam Lawson is joined by journalist Kate Farmer to discuss a growing trend in mental health: the rise of AI therapy apps.Kate recently published an investigative piece on Wysa, Woebot, and other mental health platforms that use AI to simulate therapy conversations. In this episode, she shares what it was like to interact with these tools firsthand, what users are actually experiencing, and why many of these apps are skating a dangerous line between wellness support and clinical treatment.They also explore how these apps bypass regulatory scrutiny, the ethical challenges of relying on AI for emotional support, and how vulnerable users, especially those waiting for real therapists, are often left with few other options.Also in this episode: • Why rule-based AI might be better than LLMs in mental health • How companies use marketing language to dodge legal oversight • The limits of empathy, personalization, and context in AI • What’s actually happening with your health data when you use these tools • Why CBT still matters and how to use these platforms safelyThis is a powerful, clear-eyed look at how AI is entering spaces once reserved for humans and what this means for trust, privacy, and care.Subscribe to The AI Report:https://theaireport.beehiiv.com/subscribeJoin the community:https://www.skool.com/the-ai-report-community/aboutChapters:(00:00) Why AI Is Not a Therapist(01:06) Kate’s Background and Reporting Focus(04:35) Revisiting AI Therapy Post-ChatGPT(06:13) How Wysa Actually Works(09:45) Empathy, Context, and Their Limits in AI(11:13) Why Intake Matters in Mental Health(13:39) False Personalization in Therapy Apps(14:47) Real User Reactions to Wysa and Woebot(16:28) When AI Becomes a Stopgap for Care(18:05) The Case for Rule-Based CBT Tools(22:08) AI Safety in Mental Health Tools(27:30) Scale vs Support: The Infrastructure Gap(29:25) Avoiding FDA Regulation with Clever Framing(31:06) “Line Skating” and Legal Grey Zones(34:42) The Health Data Economy Behind These Apps(39:00) How Much Your Mental Health File Might Be Worth(43:04) Accepting Flaws When There’s No Alternative(44:02) CBT’s Real Strengths and Use Cases(45:18) How to Use These Tools Without Risk
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56:39
Replace Yourself With Systems: How AI Helps You Work Less
This week on The AI Report, Liam Lawson is joined by Matthew Cohn, the founder of Future Flow, to talk about one of the most practical applications of AI today: voice agents.Matt doesn’t write code. He’s not a machine learning engineer. But he’s built a thriving business that automates sales, lead qualification, and customer follow-up using tools like Vapi, N8N, and custom GPT agents. In this episode, Matt explains how he went from university marketing projects to running voice agents that act as round-the-clock sales assistants for real businesses.They dig into the real pain points these agents solve—missed calls, slow follow-ups, and overworked sales reps—and how small to mid-size businesses are starting to catch on.Also in this episode: • What makes a great voice agent prompt • Why prompting is the core skill for non-technical AI builders • How Matt handles imposter syndrome and subcontracting • A breakdown of the orchestration layers and tools he uses daily • What it takes to serve enterprise clients with AI systemsIf you’ve been curious about AI agents, automation workflows, or what it takes to build a lean, scalable AI business without writing code, this is a must-listen.Subscribe to The AI Report:https://theaireport.beehiiv.com/subscribeJoin the community:https://www.skool.com/the-ai-report-community/aboutChapters:(00:00) Why Speed-to-Lead Still Wins Deals(01:13) Matt’s Non-Technical Path to Building With AI(03:45) Early AI Projects and First Use Cases(06:05) Automating Business Docs With ChatGPT(08:14) Leaving the Agency to Go All-In on Future Flow(11:00) Pitching AI Solutions From a Sales Job(13:20) Ghostwriting With GPT and Finding a Real Offer(15:30) How Voice Agents Handle Inbound and Outbound(17:45) The End-to-End Sales Process With AI(20:00) End-of-Call Reporting and CRM Automation(23:00) The Tools Behind It All: Vapi, N8N, GoHighLevel(25:00) Leveraging Subcontractors to Scale(28:00) Building With Confidence as a Non-Engineer(30:30) Thinking Bigger: Serving Enterprise Clients(33:00) Advice for Non-Technical AI Builders(36:00) Start With Prompting, Then Automate(39:00) What’s Next for Matt and Future Flow
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42:23
How One Founder Replaced a 20-Person Team With AI Tools
On this episode of The AI Report, Liam Lawson sits down with Avi Hacker, founder of the AI Consulting Network and one of the most prolific solo operators in the AI world.Avi doesn’t know how to code, but that hasn’t stopped him from building a business powered entirely by custom GPTs, Airtable workflows, Make.com automations, and a relentless commitment to experimentation. He’s automated everything from daily newsletters to podcast production and does it all without a technical team.This conversation dives into:How Avi scaled from law school grad to AI consultantWhy he operates like a 20-person team with zero employeesThe real cost of automation and what clients often misunderstandHow he built tools for LinkedIn growth, blog creation, and deep researchThe tech stack behind his daily content engineIf you’re interested in the intersection of AI, automation, and solopreneurship, this is one to queue up.Subscribe to The AI Report:theaireport.aiJoin our community:skool.com/the-ai-report-community/aboutConnect with Avi:linkedin.com/in/avihackerChapters:(00:00) Building Anything Without Knowing How to Code(01:00) From Law School to AI Consultant(03:05) Starting the AI Consulting Network(05:12) What Clients Get Wrong About AI(07:00) Understanding Time ROI in AI Projects(08:14) Live Walkthrough: Automating The AI Report Newsletter(11:00) Building a Custom Workflow with Make and Airtable(13:20) Why He Doesn’t Do One-Time Builds(15:00) The Internal Tools That Power His Growth(17:45) Working Like a 20-Person Team Using AI(19:14) Future Plans and Scaling the Business(21:00) Experimenting With AI Agents(23:00) Training AI-First Operators(25:00) Big Ideas, Small Teams, and the Power of Leverage(30:00) Explaining His Job to Non-Tech Folks(32:00) Where to Find Avi Online
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