Reinvention experiment: corporate to something different.
Current focus: learning to build/code with AI + physical health. Sharing lessons from the journey.
Kevin O'Leary made his money in classic boomer fashion. He benefited from cheap housing, cheap education, expanding consumer markets, rising asset prices for decades.
A mediocre operator in 1985 had easier odds than an exceptional operator today. Kevin didn't invent anything, nor did he innovate. He made most of his money from capital allocation, not value creation.
In typical boomer fashion, Kevin's advice unconsciously assumes that markets aren't saturated, education guarantees mobility, housing remains cheap, globalization continues upward etc.
This is a level of tone-deafness we only see from the boomer cohort. Musk and Bezos are not like this. Nor were Carnegie and Ford. Boomers are uniquely out of touch
I mapped every AI automation opportunity across 25 industries.
10-15 pain points each. With the exact positioning, pricing range, and who to sell to.
This took me 4 years and 80+ client engagements to figure out.
A lot of AI agencies pick a niche and pray.
They don't know the actual pain points.
They don't know who the buyer is.
They don't know what these companies are already paying for broken solutions.
They don't know what the realistic project size is.
So they end up competing on price for generic "AI automation" gigs.
I've worked with marketing agencies, recruiting firms, e-commerce brands, law firms, real estate companies, healthcare practices, financial services, SaaS companies, manufacturing, construction, logistics, and more.
Every single one has 10-15 processes that are bleeding money because they're still done manually.
Here's what the guide covers for each industry:
โ The top 10-15 automation pain points (ranked by ROI)
โ Who the actual buyer is (CEO, COO, ops manager, etc.)
โ What they're currently paying for manual labor or broken SaaS
โ Realistic project pricing ($5K-$60K+ depending on scope)
โ The discovery questions that unlock the deal
โ How to position yourself as the expert even if you've never worked in that industry
โ Red flags to avoid (industries and company sizes that aren't worth it)
25 industries and 300+ specific automation opportunities.
This is the cheat code for picking your niche and knowing exactly what to sell before you ever get on a call.
Like + RT + reply "NICHE" and I'll send you the full guide (Must be following so I can DM)
I went from $500 Upwork projects to $500K+/year selling AI systems.
I legitimately made every mistake you can make.
Undercharging, scope creep, building without mapping, hiring wrong, pricing hourly.
Then I figured out what actually works and doubled down.
I put the entire playbook into a free guide. Here's what's inside:
โ How I went from Zapier gigs to $25K-$60K projects
โ The pricing shift that 5x'd my revenue (and the exact formulas)
โ My 4-call sales process for closing $25K-$60K+ deals
โ The discovery framework that turns calls into signed contracts
โ How I built a dev team without burning cash
โ The fulfillment system that keeps clients for years
โ How I position against agencies 10x my size and WIN
โ The content engine that fills my pipeline without ads or cold outreach
โ Every mistake I made and what I'd do differently starting from zero
This took 4 years, 80+ clients, and a lot of painful lessons.
Yours for free.
RT + reply "AGENCY" and I'll send it over. (Must follow so I can DM