About Padro

Why I built Padro.

The story behind Padro, from our founder.

Aryaman Sharma, founder of PadroAryaman SharmaFounder, Padro · 8 min read

Padro is building a new way for expertise to reach people. We turn an expert-led business's knowledge and methodology into personalized software that understands each customer, applies the business's approach to their situation and, increasingly, does the work alongside them. This is why I started it, and why I believe it will change how expertise is delivered.

The oldest tradeoff in expertise

The most valuable thing an expert offers isn't information. It's application: the consultant who reads your numbers and spots the problem, the coach who sees the pattern you can't, the advisor who knows which of their own rules to break for you. That kind of help is personal, and it's expensive, because a person has to deliver it every single time.

Every leap in how knowledge travels has made the same trade. The printing press scaled the book. Broadcast scaled the lecture. The internet scaled the course. Each one carried an expert's ideas to millions more people, and each one left the most valuable part behind: the expert applying those ideas to you.

Information has scaled many times. Expertise never has.

So expert-led businesses have always had to choose. Deliver personally, and you can only serve as many people as your team has hours. Package what you know into courses, content and communities, and you reach far more people but lose what made the expertise worth paying for. They can teach you the framework. They can't apply it to you.

I've been on the customer side of that choice. I knew Iman Gadzhi's content, and I could follow his frameworks. What I couldn't get was his read on my situation.

The conversation that clicked

So I started trying AI twins: Ask Iman, Delphi-based twins, custom GPTs.

The moment it clicked was with Ask Iman. I was weighing a few business ideas and asked it to help me validate them. It laid things out in detail, in the terms and tone I recognized from Iman's content. It didn't feel like a generic answer about starting a business. It felt like thinking through my own ideas with the approach of someone whose work I already knew.

I can't know whether Iman himself would have said the same thing, and it was no substitute for real market validation. But for the first time, an expert's body of work answered back about my situation instead of everyone's. That was the tradeoff starting to break.

The answer that broke it

Then I asked the same twin about something Iman had posted recently. It didn't seem to know the material. It drifted onto something else and gave me an answer I'm fairly sure was made up.

What bothered me wasn't that it didn't know. It was that it never said so.

That's the danger with anything that sounds like a person you trust: you give its answers more weight than they deserve. A twin that invents a belief and attributes it to a real expert isn't really their twin. It's a stranger wearing their name. In this category, trust isn't a feature. It's the whole product.

An AI twin should never put words in an expert's mouth.

Retrieval isn't expertise

When I looked at what existed, most of it treated expertise as a search problem: upload the files, find the right paragraph, phrase it in the expert's voice. The custom GPTs I tried were mostly disappointing until I fed them a lot of information, and even then they felt narrow. Too much of this space was a generic chatbot with a person's name and photo on top.

But expertise doesn't live in the files. It lives in the method: the questions you ask first, the order you do things in, the exceptions you've earned the right to make. Picture a coach who always diagnoses a client's situation before recommending anything. A twin that jumps straight to a ten-step plan can sound helpful while skipping the most important part of their work.

“I want advice grounded in what that expert actually teaches, applied to my situation, with an honest answer when something is outside its knowledge.”
From my post Is an AI Twin Any Good?

So I started building Padro

Padro is built on a conviction: an expert's methodology can become software. Not a chatbot that knows their content, but a product that understands each customer's context, applies the expert's frameworks to it, gives personalized guidance and feedback, and remembers that person over time.

It's held to one standard. Padro can explain your framework or apply it to someone's situation, but it never invents a belief, experience or recommendation and passes it off as yours. When your knowledge doesn't cover a question, it says so.

And it belongs to the business behind it. It carries their brand, keeps the customer relationship theirs, and can be sold on its own or built into the coaching, consulting, courses and memberships they already offer. It isn't there to replace their highest-value work. It takes on the personalized delivery that was never economical to do one-to-one.

The knowledge no one wrote down

Building Padro changed how I think about expertise. Courses and articles are the obvious starting point, but they never hold everything. A consultant spots a warning sign instantly but has never explained which details tipped them off. A coach bends their own framework because of something a past client taught them.

That's just as true of firms as of individuals. Consultancies, agencies and training businesses carry their methodology in playbooks, past work and the judgment of their senior people. Expertise is rarely one person's alone.

So Padro interviews the expert. We ask the questions their content never answered, and the answers become material the business reviews and its Padro can use, instead of leaving the AI to guess what's in someone's head.

Questions we ask experts
01

When would you tell someone not to follow your usual advice?

02

What would you need to know before making this recommendation?

03

What happened with a past client that changed how you teach this?

From guidance to work

Guidance is where Padro starts. It isn't where it ends.

Think about what you actually get from a great consultant or coach. They don't just tell you what to do. They draft the plan, review your work, chase the follow-up and keep things moving until the result is real. That's the goal for Padro: an expert's methodology that doesn't just advise, but creates the work, uses the tools you already use, and takes approved actions to carry it forward.

Padro will go from telling you what to do, to doing it with you, to doing it for you.

Not a separate bot for advising, another for planning and another for reviewing. One experience, built on one methodology, that can advise, create, review, research, follow up and act. Always grounded in what the business knows, and always within the limits it sets.

And because the same methodology sits underneath, the expert's own team can hand it work too: preparing deliverables, researching, updating tools and taking on the routine tasks that pull them away from the work only they can do.

The software moment for expertise

Every industry built on knowledge is about to be rebuilt. Raw AI capability is becoming something anyone can access, as ordinary as electricity. What will never be ordinary is a particular business's way of doing things, and the trust its customers place in it. That's what Padro is built to carry: the methodology, the customer's context, the experience, the business model and the guardrails that make expertise safe to put in software.

Our mission is to make personalized expertise something software can deliver, for every expert-led business and every customer they serve.

Imagine every consultancy, coaching practice, agency and training business with its methodology running as a product that works alongside each customer, at any hour and at any scale, without losing what made it personal. The best advice in the world, applied to your situation, the moment you need it. And the people who built that expertise, finally free to spend their time on the work only they can do.

That's the company I'm building from Toronto, Canada. If you've spent years building expertise people trust, I'd love to show you what it can become.

Aryaman Sharma, founder of Padro
Aryaman Sharma
Founder, Padro
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Padro, in brief

Padro (padro.ai) turns the knowledge and methodology of expert-led businesses into personalized software their customers can work with: AI that guides each customer using the business's own approach today, and that creates work and takes action with them next. Padro was founded by Aryaman Sharma and is built in Toronto, Canada.

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