Building in the Age of AI: Five Lessons We Learned the Hard Way
We had the SaaS playbook.
We had the “zero to one” precedents.
We had industry veterans who could tell you what your strategy should be for the next three quarters.
But building in the age of AI?
That is a different beast entirely.
Over the past year, as Sreejan, Michelle and I built Evam Labs, we realized that many of our priors — the fundamental assumptions we held about business — were outdated.
The rules have changed.
If you are a young founder trying to find your footing in this chaos, here are five lessons we had to learn the hard way.
1. Your Product Is Not Static
We’re wired to think of products as static entities where change is a step function — periodic upgrades.
You’d have a roadmap.
You’d build, test, deploy and push updates.
It was a linear lifecycle.
That model is broken.
AI is fluid.
If done right, AI is a constantly evolving, learning entity — less like a product and more like an employee.
It is anything but static.
This requires a major mental shift.
You aren’t building a tool that sits on a shelf.
You are nurturing a system that grows.
If you try to force a traditional roadmap onto a non-deterministic technology, you will fail.
Instead:
Embrace the fluidity.
2. There Are No High Priests (Only Customers)
In the software era, you could hire an advisor or listen to an investor who had “seen it all before.”
But here is the cold reality of the AI era:
No one knows the right strategy.
Not the industry veterans.
Not the VCs.
Not even the repeat founders.
Consequently, there is only one source of truth left:
The customer.
The only validation that matters is hidden in the loop of shipping a solution to a real customer problem.
If you build — will they come?
That is the only question.
Stop looking for approval from experts.
Start looking for engagement from users.
3. Speed Is Your Survival Strategy
Strategy Is a Byproduct of Action
If the truth comes from customers using your product, how do you get to that truth faster?
You increase the surface area of your experiments.
Think of it like a math equation:
In 30 days, how many capabilities can you build and put in front of customers?
- If the number is 1 → learning is slow
- If the number is 10 → the chance of finding something customers love skyrockets
Speed isn’t just about working late nights.
It is about shortening the feedback loop.
The faster you ship, the faster you find the truth.
4. Building a High-Performance Team
AI has democratized technical leverage.
It has lowered the barriers to:
- Coding
- Research
- Content creation
Because the technical floor has been raised, the differentiating factor for your team is no longer just skill.
It is agency.
To build a high-performance team today, optimize for:
- Speed
- Self-direction
- Bias for action
You need people who move fast and solve problems independently.
Not a team that waits for instructions.
But a team that sees a problem and solves it before you even know it exists.
5. The Fundraising Barbell
Finally, let’s talk about money.
The fundraising advice today resembles a barbell strategy.
End One: Raise Big
If you have found Product-Market Fit in a large category, adoption is accelerating and the market is moving fast.
Then raise capital.
Raise meaningful amounts and capture market share immediately.
End Two: Stay Lean
For everyone else — especially in Enterprise AI — capital efficiency is king.
With today’s technology, you can do more with less than ever before.
Stay lean.
Preserve equity.
Build a capital-efficient company until you hit undeniable Product-Market Fit.
Do not raise money just because it’s the startup thing to do.
Raise when the fire is already burning —
and you need to pour gasoline on it.
The Builder’s Moment
Building a brand today is challenging.
But it is also arguably the most exciting time in history to be a builder.
We are all figuring this out in real time.
Forget the old playbooks.
- Optimize for speed
- Listen to your customers
- Run your own race
Now, back to building. 💪🏼