A guy with a software background and no business experience built an AI automation bot using n8n and Make.com in one weekend. The bot handles a client's customer support inbox — categorising emails, drafting responses, flagging anything unusual. The client pays $800 a month. He spends 30 minutes a week maintaining it. In this episode, M. Shezi shows you exactly how this works — and how technical professionals are best positioned to do the same.

Stream 5 — AI Automation Income — is the most underutilised income stream in the entire system. And for engineers and technical professionals, it's the most natural.

What you'll learn in this episode:

— Why small and medium businesses are desperate for automation but can't implement it themselves 

— Tendai's story: a process engineer who turned his workflow optimisation skills into $2,400/month in recurring automation retainers 

— The difference between thinking in code vs. thinking in workflows — and why the second is all you need 

— The highest-value automations: the ones that remove bottlenecks, not just save 30 minutes 

— How to productise automation into a monthly retainer (the real business model)— Introduction to n8n and Make.com: drag-and-drop workflow builders that require no coding

AI Tool Spotlight: n8n + Make.com Step-by-step: how to build your first workflow in n8n — trigger, action, test — in under 20 minutes.

This Week's Action: Sign up for a free n8n account. Build one automation for yourself — any automation. It doesn't need to be useful. It needs to be done. Because building it teaches you the logic.

Resources mentioned: 

— n8n: n8n.io 

— Make.com: make.com 

— AI Wealth by M. Shezi: available on Lulu Books (search "AI Wealth M. Shezi") 

— Free weekly AI prompt newsletter: mshezibooks.co.za

Season 1, Episode 8 of The AI Wealth Show — Five systems. One engineer. Financial freedom with AI.

Links: 

—  AI Wealth by M. Shezi: available on Lulu Books (search "AI Wealth M. Shezi") 

— Free weekly AI prompt newsletter: https://mshezibooks.co.za/

Nearly 1 in 4 people have no retirement savings at all. Among those who do, most have less than $100,000 — which at a 4% withdrawal rate is about $330 a month. That's not retirement. In this episode, M. Shezi demystifies investing for every professional who has avoided the market because it felt too complicated — and shows you how AI makes it even simpler to start.

This is the Stream 4 episode. Investment income. The one that most professionals know they should be building but have been putting off.

What you'll learn in this episode:

— Why waiting to "learn more" before investing is costing you money right now (the compound interest math) 

— What an index fund actually is — explained in plain language, no jargon — Why consistent monthly contributions beat stock picking every time 

— Kofi's story: an electrical engineer who was paralysed by choice until we reduced everything to 3 questions 

— How to use AI to understand any investment product before buying it — no financial advisor needed 

— The specific monthly recurring purchase setup that runs your investment stream on autopilot

AI Tool Spotlight: Robinhood / Trading 212 + AI-powered investment analysis Exact prompt: "Explain what VOO is, what it holds, what the historical returns have been, and what the risks are — in plain language, no jargon."

This Week's Action: Open a brokerage account. Not invest — just open the account. Robinhood, Trading 212, or whatever's available in your country. The barrier is inertia, not knowledge.

Resources mentioned: 

— Robinhood: robinhood.com 

— Trading 212: trading212.com 

— ChatGPT: chat.openai.com 

— Claude: claude.ai 

— AI Wealth by M. Shezi: available on Lulu Books (search "AI Wealth M. Shezi")  

— Chapter 5 covers the full Investment Income system 

— Free weekly AI prompt newsletter: mshezibooks.co.za

Season 1, Episode 7 of The AI Wealth Show — Five systems. One engineer. Financial freedom with AI.

Links: 

—  AI Wealth by M. Shezi: available on Lulu Books (search "AI Wealth M. Shezi") 

— Free weekly AI prompt newsletter: https://mshezibooks.co.za/

Passive income isn't effort-free income. It's leverage income — you apply effort once, and that asset generates return repeatedly without proportional additional time. In this episode, M. Shezi shows how Sarah, a registered nurse, built an audio course using ElevenLabs and Teachable that made $1,800 last month — from work she completed six months ago.

This episode is about the real version of passive income: building once, earning repeatedly.

What you'll learn in this episode:

— Why audio courses are the most underestimated digital product format — and who they're perfect for 

— How ElevenLabs voice cloning solves the audio consistency problem: new modules, same voice, any time 

— How Teachable removes every technical barrier between you and a functioning online course storefront 

— Sarah's full case study: 12 audio modules, 3 weekends of recording, $22,000+ in total earnings 

— The exact workflow: ChatGPT outlines the course → you add the expertise → ElevenLabs generates consistent audio → Teachable handles the rest

AI Tool Spotlight: ElevenLabs + Teachable How to clone your voice, build audio modules, and publish a course that sells while you're at work.

This Week's Action: List 5 topics you know deeply that other people regularly ask you to explain. Circle the one where you know the most and where the person asking is most frustrated. That's your course topic.

Resources mentioned: 

— ElevenLabs: elevenlabs.io 

— Teachable: teachable.com 

— ChatGPT: chat.openai.com 

— AI Wealth by M. Shezi: available on Lulu Books (search "AI Wealth M. Shezi") 

— Free weekly AI prompt newsletter: mshezibooks.co.za

Season 1, Episode 6 of The AI Wealth Show — Five systems. One engineer. Financial freedom with AI.

Links: 

—  AI Wealth by M. Shezi: available on Lulu Books (search "AI Wealth M. Shezi") 

— Free weekly AI prompt newsletter: https://mshezibooks.co.za/

What if you could make $500 from one conversation this weekend — using expertise you already have? In this episode, M. Shezi breaks down how to build a consulting offer that is clear, credible, and sellable, even if you've never charged for advice before. And we're using Gamma.app to make it look like you've been doing it for years.

This episode reframes the entire idea of consulting for technical professionals. You don't need to be a "consultant." You need to know something that solves a specific problem — and be willing to describe it clearly.

What you'll learn in this episode:

— Why "I'm a practitioner, not a consultant" is a false distinction — and what consulting really is 

— The 4-component anatomy of a winning consulting offer: who, problem, solution, outcome 

— Why you don't need a website to start — just a proposal — James's story: a structural engineer who made $900 in two afternoons from a simple Gamma.app proposal sent to architecture firms 

— The pricing principle that changes everything: if saying your price out loud doesn't make you slightly nervous, you've undercharged 

— How to use Gamma.app to create a professional consulting proposal in under 30 minutes

AI Tool Spotlight: Gamma.app for proposal creation Step-by-step: generate a polished, professional two-page consulting deck in under 30 minutes using AI.

This Week's Action: Write your 4-component offer in 4 sentences. Who is your specific client? What is their specific problem? What is your specific solution? What is the specific outcome?

Resources mentioned: 

— Gamma.app: gamma.app 

— AI Wealth by M. Shezi: available on Lulu Books (search "AI Wealth M. Shezi") 

— Chapter 5 includes a pricing calculator and outreach message template 

— Free weekly AI prompt newsletter: mshezibooks.co.za

Season 1, Episode 5 of The AI Wealth Show — Five systems. One engineer. Financial freedom with AI.

Links: 

—  AI Wealth by M. Shezi: available on Lulu Books (search "AI Wealth M. Shezi") 

— Free weekly AI prompt newsletter: https://mshezibooks.co.za/

The number one reason professionals never launch a digital product isn't lack of knowledge or lack of time. It's the belief that you need an audience first. You don't. In this episode, M. Shezi walks you through a 30-day plan to go from idea to first sale — with no social media following, no email list, and no marketing budget.

What you'll learn in this episode:

— Why the "you need an audience first" myth is holding you back — and the actual truth about what makes a digital product sell 

— The one product type that's easiest to build first: the solution document (PDF, checklist, calculator, template) 

— How to use ChatGPT to build the product itself — not just market it 

— Amara's story: a mechanical engineer who made $3,200 from a 42-page HVAC guide with no social media presence 

— The pricing rule that most first-time creators get wrong: why underpricing repels serious buyers 

— The 30-day plan: Days 1–10 (outline), Days 11–20 (content), Days 21–30 (publish and share)

AI Tool Spotlight: Gumroad + ChatGPT How to use ChatGPT to outline, draft, and write your solution document — then sell it on Gumroad in an afternoon.

This Week's Action: Write one sentence starting with "I help..." that describes the specific problem your first product would solve. That sentence is your product brief.

Resources mentioned: 

— Gumroad: gumroad.com 

— ChatGPT: chat.openai.com 

— AI Wealth by M. Shezi: available on Lulu Books (search "AI Wealth M. Shezi") 

— Chapter 4 includes a full launch checklist 

— Free weekly AI prompt newsletter: mshezibooks.co.za

Season 1, Episode 4 of The AI Wealth Show — Five systems. One engineer. Financial freedom with AI.

Links: 

—  AI Wealth by M. Shezi: available on Lulu Books (search "AI Wealth M. Shezi") 

— Free weekly AI prompt newsletter: https://mshezibooks.co.za/

McKinsey found that knowledge workers spend 28% of their week on email alone — and another 20% searching for information. That's nearly half your week gone before you've touched the work you were hired to do. In this episode, M. Shezi shows you how to reclaim those hours using Claude and Notion AI — and redirect them into building your other income streams.

This is not a productivity episode. It's a time-recovery episode. The professionals building multiple income streams while keeping their day jobs aren't working 80-hour weeks. They've systematically eliminated the low-value work most people accept as inevitable.

What you'll learn in this episode:

— How to identify your "output tax" — the formulaic, repetitive work that drains your week 

— How to build a personal prompt library in Claude that handles recurring documents in minutes instead of hours 

— How Priya, a civil engineer, recovered 12 hours a week and used 6 of them to launch a Udemy course earning $900 in its first month 

— How to use Notion AI as a second brain: meeting notes → action items → shareable updates in under 60 seconds 

— The compounding effect: how time recovered in month 1 becomes income by month 6

AI Tool Spotlight: Claude for building a reusable prompt library Exact prompt included: how to turn any recurring document into a template you use forever.

This Week's Action: Pick the single most time-consuming repetitive task in your week. Spend 30 minutes building a Claude prompt that handles it. Test it on last week's version. Refine once.

Resources mentioned: 

— Claude: claude.ai 

— Notion AI: notion.so 

— AI Wealth by M. Shezi: available on Lulu Books (search "AI Wealth M. Shezi") 

— Free weekly AI prompt newsletter: mshezibooks.co.za

Links: 

—  AI Wealth by M. Shezi: available on Lulu Books (search "AI Wealth M. Shezi") 

— Free weekly AI prompt newsletter: https://mshezibooks.co.za/

This episode is different. No frameworks. No tool walkthroughs. Just a story — because sometimes the most powerful thing is a mirror held up to a moment you're trying to avoid.

Marcus was 38 years old, head of operations, eleven years at the company. Then came the Tuesday afternoon call that changed everything. This is the story of what happens when you spend a decade building someone else's asset instead of your own — and what the professionals who came out the other side all say they wish they'd done differently.

What you'll learn in this episode:

— The anatomy of an AI displacement event: what it actually feels like, and what it reveals 

— Why Marcus's story isn't about AI — it's about single-stream income and financial fragility 

— The difference between building a career and building a business — Why the best time to build the other four income streams is while you still have the security of the first one 

— How Marcus rebuilt: from consulting to a course, from panic to a system of income he owns

This is a story episode — the kind that changes how you think about your financial life, not just your to-do list.

This Week's Action: Write down what you would do if you lost your job tomorrow. Not what you'd apply for — what you would build. This exercise makes the five streams feel real, fast.

Resources mentioned: 

— AI Wealth by M. Shezi: available on Lulu Books (search "AI Wealth M. Shezi") 

— Chapter 1 covers the single point of failure in full 

— Free weekly AI prompt newsletter: mshezibooks.co.za

Season 1, Episode 2 of The AI Wealth Show 

— Five systems. One engineer. Financial freedom with AI.

Links: 

—  AI Wealth by M. Shezi: available on Lulu Books (search "AI Wealth M. Shezi") 

— Free weekly AI prompt newsletter: https://mshezibooks.co.za/

Goldman Sachs estimates 300 million jobs could be automated by 2030 — and the professionals most exposed are the ones who never saw it coming. In this episode, M. Shezi makes the case that your salary isn't the problem. Having only a salary is.

This is the foundational episode of The AI Wealth Show. We break down why single-stream income is the single greatest financial risk a professional can carry — and what to do about it starting this week.

What you'll learn in this episode:

— Why your salary is one data point, not your ceiling 

— The concept of "counterparty risk" and why it applies to your paycheck — How to identify the skills that make you irreplaceable vs. replaceable 

— The 4-step Impact Bank system: how to use ChatGPT to document your achievements weekly so you walk into every review, negotiation, or job conversation with evidence

Case study: David, a 41-year-old project manager who built a 43-page impact document using ChatGPT and got a 14% raise at his next review.

AI Tool Spotlight: ChatGPT for performance documentation Step-by-step prompt included. Build your Impact Bank starting this Friday.

This Week's Action: Create your Career Impact Bank document and set a recurring 10-minute Friday calendar reminder. One entry this week. That's all.

Resources mentioned: 

— ChatGPT: chat.openai.com 

— AI Wealth by M. Shezi: available on Lulu Books (search "AI Wealth M. Shezi") 

— Free weekly AI prompt newsletter: mshezibooks.co.za

Season 1, Episode 1 of The AI Wealth Show — Five systems. One engineer. Financial freedom with AI.

Links: 

—  AI Wealth by M. Shezi: available on Lulu Books (search "AI Wealth M. Shezi") 

— Free weekly AI prompt newsletter: https://mshezibooks.co.za/