Learn the system
I learn where money comes from, where your attention goes, what repeats, and what keeps finding its way back to you.
He told me to simplify the business, prove it works, and get it to $10K/month.
So I turned it into one measurable offer.
Give me $1,000.
I’ll learn how your business actually works and help you identify and implement at least $1,000 of measurable leverage.
Measured as time back + revenue in.
No free strategy call. The calibration is the product.
config.js to embed the trailer here.
Instead, a lot of businesses got more content, more automations, more dashboards, more tools, and more things to maintain.
I’m not interested in helping you do more work with AI. I want to find the work your business shouldn’t need anymore.
I learn where money comes from, where your attention goes, what repeats, and what keeps finding its way back to you.
We agree on a conservative value for your time and define what counts as real economic improvement before we start counting it.
We look for work that can be removed, compressed, delegated, automated, or made unnecessary without hurting the outcome.
We run the smallest useful experiment. Reality grades us. If it works, we preserve the learning so neither of us has to rediscover it.
We agree on the measurement during onboarding. No retroactive funny math.
Example: your time is conservatively valued at $100/hour. We eliminate 5 recurring hours of work and create $600 in additional revenue.
“The first skepticism is: do you know AI? … The second skepticism is: okay, yes, you know AI, but how do you turn it into a business?” — Jay Yang, during our call
That second proof is what I’m building now. Publicly.
I’m making the homework harder.
I’m testing whether the ideas and content created from this conversation can generate 100 × $1,000 calibrations in directly attributable business.
The point isn’t the stunt. The point is to make the business itself the proof.
“I would want to get this AI business to at least 10K a month … because then you can show that this process works yourself.” — Jay Yang
I keep working through the calibration until we’ve identified and implemented at least $1,000 in mutually agreed value through time returned and/or revenue created.
Then, if we both want to continue:
$250/month Continuous leverageWhy does the price go down? Because you shouldn’t keep paying discovery prices for something we’ve already learned.
Start my calibration — $1,000Requires reasonable access, participation, and agreement on how value is measured. This is a collaborative calibration, not an unconditional revenue guarantee.
Sometimes automation may be the answer. But if the better answer is to stop doing the work entirely, we do that instead. The target is leverage, not automation count.
No. You work with me. My AI system works behind me to preserve context, search for patterns, prepare experiments, and reduce repeated work.
You should use any tools that help you. The scarce part is increasingly not access to intelligence. It is deciding what deserves attention, integrating it into your actual business, and measuring whether reality improved.
I’m selling a measured outcome rather than a fixed number of consulting hours. Different businesses reveal their leverage at different speeds.
Calibration is complete. Stop there, or continue at $250/month if the system has earned the right to keep looking for leverage.
It’s to make productivity less necessary.
I want to find the work that can disappear without the result disappearing with it.
Start my $1,000 calibrationAdd your checkout URL in config.js.
Not operating a business yet? Follow the Build In Public University experiment instead →