How One Founder Replaced a 20-Person Team With AI Tools

04/18/25 • 32 min

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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.

Subscribe to The AI Report:

theaireport.ai

Join our community:

skool.com/the-ai-report-community/about

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

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.

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.

Subscribe to The AI Report:

theaireport.ai

Join our community:

skool.com/the-ai-report-community/about

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

Previous Episode

Biden vs Trump: How U.S. AI Policy Is Shifting

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.

Subscribe to The AI Report:

theaireport.ai

Join our community:

skool.com/the-ai-report-community/about

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

Next Episode

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 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.

Subscribe to The AI Report:

https://theaireport.beehiiv.com/subscribe

Join the community:

https://www.skool.com/the-ai-report-community/about

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