This week on The AI Report, Liam Lawson is joined by Lindsay Rosenthal, founder of Synnc and one of the leading voices in the B2B creator economy. Lindsay shares how she went from building a presence on LinkedIn to launching a software platform that connects brands and professionals for high-leverage collaborations.

She breaks down what’s changing in B2B marketing, why creators are becoming critical distribution channels, and how she built and shipped a product without a technical background, leveraging AI tools to move faster and execute smarter.

Also in this episode:

• The rise of B2B creators and micro-influencers

• How Synnc uses AI to match brands and creators

• Why a personal brand is now part of your resume

• The challenge of balancing content, consulting, and product building

• What it really takes to launch a product with limited resources

If you’re trying to grow on LinkedIn, launch a tool, or find smarter ways to work with AI, this conversation is full of sharp insights from someone doing all three at once.

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Chapters:

(00:00) Why Community is Career Insurance

(01:04) AI Meets LinkedIn: What’s Happening Now

(02:10) B2B Creators Are the New Growth Engine

(03:20) Personal Brand as a Strategic Asset

(04:36) Imperfect Content Beats AI-Polished Posts

(06:13) The Real Voice of B2B: Messy and Human

(07:47) What Synnc Actually Does

(09:00) How Brands and Creators Use the Platform

(11:09) AI Workflow Automation Behind the Scenes

(13:14) Why Creator Rates Are Climbing in B2B

(14:21) Big Value From Small Audiences

(16:20) Winning With Focused Distribution, Not Virality

(17:05) Collabs, Testimonials, and Fractional Roles

(18:17) Building and Shipping Without a Tech Background

(19:31) The Realities of Building in Public

(21:05) Why Speed and Timing Matter Most

(22:12) Lindsay’s Origin Story and Customer Zero

(24:03) From Student Podcast to Software Startup

(25:57) Spotting Trends and Building Early

(28:02) Why Non-Technical Founders Are Winning Now

(29:08) Using AI for Product Design and Dev Work

(31:07) AI-Powered Matching and Briefing

(32:48) Reducing Friction With Smarter Systems

(34:03) How Lindsay Balances Multiple Lanes

(35:15) Tools, Systems, and Mental Clarity

(36:07) The Value of Doing More to Think Better

(37:07) Synnc’s Next Moves

(39:04) What She’s Working on Behind the Curtain

(41:12) How to Connect With Lindsay and Try Synnc

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 coaching

This is an inspiring and tactical breakdown for anyone building a business with content, community, and AI.

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Chapters:

(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

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 agent
  

• Why sales automation is still mostly garbage
  

• Building “department-level” agents from scratch
  

• The new consulting model for AI integration
  

• How to spot companies faking their AI credibility
  

Jake doesn’t sugarcoat it. He brings the hard truths and deep insights you need to integrate AI into your workflow.

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Chapters:

(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

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 safely

This 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.

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Chapters:

(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

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 systems

If 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.

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Chapters:

(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

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 consultant

• Why he operates like a 20-person team with zero employees

• The real cost of automation and what clients often misunderstand

• How he built tools for LinkedIn growth, blog creation, and deep research

• The tech stack behind his daily content engine

If you’re interested in the intersection of AI, automation, and solopreneurship, this is one to queue up.

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Connect with Avi:

linkedin.com/in/avihacker

Chapters:

(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

In this episode of The AI Report, Christine Walker joins Arturo Ferreira to launch a new series on the legal side of artificial intelligence. Christine is a practicing attorney helping businesses understand how to navigate AI risk, compliance, and governance in a rapidly changing policy environment.

They explore how the shift from the Biden to the Trump administration is changing the tone on AI regulation, what the EU AI Act means for U.S. companies, and why many of the legal frameworks we need for AI already exist. Christine breaks down how lawyers apply traditional legal principles to today’s AI challenges from intellectual property and employment law to bias and defamation.

Also in this episode:

• The risk of waiting for regulation to catch up

• How companies can conduct internal AI audits

• What courts are already doing with AI tools

• Why even lawyers are still figuring this out in real time

• What businesses should be doing now to reduce liability

Christine offers a grounded, practical view of what it means to use AI responsibly, even when the law seems unclear.

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Chapters:

(00:00) The Legal Risks of AI and Why It’s Still a Black Box

(01:13) Christine Walker’s Background in Law and Tech

(03:07) Biden vs Trump: Competing AI Governance Philosophies

(04:53) What Governance Means and Why It Matters

(06:26) Comparing the EU AI Act with the U.S. Legal Vacuum

(08:14) Case Law on IP, Bias, and Discrimination

(10:50) Why the Fear Around AI May Be Misplaced

(13:15) Legal Precedents: What Tech History Teaches Us

(16:06) The GOP’s AI Stance and Regulatory Philosophy

(18:35) Most AI Use Cases Already Fall Under Existing Law

(21:11) Why Precedents Take So Long—and What That Means

(23:08) Will AI Accelerate the Legal System?

(25:24) AI + Lawyers: A Collaborative Model

(27:15) Hallucinations, Case Law, and Legal Responsibility

(28:36) Building Policy Now to Avoid Legal Pain Later

(30:59) Christine’s Final Advice for Businesses and Builders

Welcome back to The AI Report, where Liam Lawson speaks with the people shaping the future of AI, one breakthrough at a time.

This week’s guest is Adam Biddlecombe, co-founder of Mindstream, the daily AI newsletter that was acquired by HubSpot just 17 months after launch. Adam shares how he went from posting on LinkedIn during his lunch breaks to building a globally recognized media brand with over 150,000 engaged readers.

In this conversation, Adam breaks down how to grow and monetize a newsletter, what most people get wrong about AI adoption in companies, and why editorial quality still matters more than ever. He also shares the realities of startup life. from managing deliverability nightmares to building a distributed team across Lebanon, Iran, Pakistan, and beyond.

We talk through how to drive real AI literacy in teams, how to think about pricing ads for sponsors, and why being early matters less than being consistent.

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Connect with Adam:

linkedin.com/in/adambiddlecombe

Chapters:

(00:00) Why AI Literacy is the New Career Edge

(00:43) How Adam Sold Mindstream to HubSpot

(03:07) Growing the Newsletter from Scratch

(06:17) Building on LinkedIn in 2025

(09:25) Talking AI Fear and Workplace Buy-In

(12:21) Rolling Out AI Internally at Scale

(15:10) Educating Without Overwhelming

(19:06) The Mindstream Monetization Model

(22:18) Differentiating Through Editorial Voice

(27:02) Deliverability, List Hygiene, and Real Engagement

(30:47) Hiring Internationally and Building Culture

(35:00) Why Young, Global Talent Was the Secret

(40:14) The “Doppelgänger” Way to Train New Hires

(44:17) The Truth About Deliverability Pain

(48:08) The Email That Led to a HubSpot Acquisition

(49:19) Adam’s 4-5-Mile Clarity Walk

Follow the show and leave a rating if you found this episode valuable. It helps new listeners find the pod.

🎙️ Welcome back to The AI Report with Liam Lawson — your backstage pass to the builders, thinkers, and creators pushing AI forward.

This week, Liam sits down with Alex Banks, the mind behind GrowHub, TribeScaler, and The Signal newsletter. From publishing hooks on Twitter to launching tools that power top LinkedIn creators, Alex walks us through how he built a personal brand and product suite that’s generated massive reach—and real revenue.

🔥 In this episode:

• The founding story of GrowHub—and why it’s not just another AI writing tool

• How Alex balances building multiple ventures while staying active on socials

• Why authenticity beats virality in the long run

• The exact tech stack and workflows he uses to stay ahead

• What he’d do if he had to start from scratch tomorrow

Whether you’re a founder, creator, or just AI-curious, this episode is packed with insights on playing the long game, productizing your edge, and building in public.

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👋 Connect with Alex:

https://www.linkedin.com/in/alexbanks-ai/

⏱️ Chapters

(00:00) Building Without Expectation

(01:39) Writing Online & Learning the Algorithm

(03:09) First Product: TribeScaler

(06:17) AI Tools for Personal Workflow

(09:43) Go-To Tools: V0, WisprFlow, Fixer

(13:20) On Voice, Trust & Real Community

(15:31) Why GrowHub Exists

(19:28) Live Walkthrough of GrowHub

(24:05) Writing Style as Product DNA

(25:34) Personal Branding > Your CV

(29:18) The Reality of Building with AI

(36:57) Positive Sum Thinking in Business

(37:08) Starting From Scratch: Alex’s Blueprint

(43:44) Why He’s All-In on AI

(45:01) Where to Follow Alex

Follow the show and leave us a 5-star review if you’re loving the pod—it helps more builders discover the signal. 🚀

Learn AI in 5 Minutes Per Day: https://www.theaireport.ai/

In this episode of The AI Report, Liam Lawson sits down with Frank Greeff, former chef-turned-tech founder who built and sold Realbase for $180M, to explore how AI, founder relationships, and radical action are reshaping the future of entrepreneurship in the AI era.

Frank shares the full story behind Realbase’s growth—from a garage-based signboard company to Australia’s #1 real estate marketing platform. He dives into the mindset behind building a company to acquisition, why most founders struggle post-exit, and how he’s now leveraging AI to build a lean, billion-dollar business with fewer than 100 employees.

From creating AI-powered org charts and automating operations to hosting $55K yacht events for 8-figure founders, this episode is packed with insights on scaling, brand-building, and creating leverage through people and systems. Frank also unpacks how he uses ChatGPT like a third co-founder, why resilience is more important than routines, and what the real differentiator will be in a world where AI does everything—human relationships.

But it’s not just about AI tools—this episode is a masterclass in modern founder psychology: why doing what “doesn’t make sense” might be your greatest edge, how to stay in the game long enough to win, and how to align business with purpose at scale.

Want to understand what the future of work, leadership, and founder-led growth looks like in an AI-native world?

Tune in now! Don’t forget to like, comment, and subscribe for more expert insights!

Over 400,000 OpenAI, Apple & NASA professionals read The AI Report. We'll teach you how to leverage AI to make money/save time in just 5 minutes.

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Connect with Frank: https://au.linkedin.com/in/frankgreeff

(00:00) Intro

(02:08) Realbase Origin: From Garage Startup to Market Leader

(04:55) The $180M Exit to Domain: Behind the Deal

(07:46) Launching The Founder’s Table

(09:58) Building a Network Like the PayPal Mafia

(13:57) Why Top-of-Funnel Content is a Game Changer

(18:34) What Successful Founders Actually Eat

(23:31) Traits of Successful Founders in the AI Era

(27:58) The #1 Trait Founders Need to Thrive with AI

(31:36) Only 3% of Founders Are Truly Using AI

(33:44) Frank’s AI Org Chart Explained (Router, Agents, Managers)

(36:30) Using AI as a Third Co-Founder

(38:30) Designing a Lean AI-First Company

(41:31) Hosting $55K Founder Dinners on Yachts

(43:34) Why Relationships Are the Ultimate Moat in an AI World

(45:04) Frank’s New Business Vision