Taivo Pungas

I try to use AI for almost every virtual task, and keep discovering things they can usefully do.

I've experimented with a couple of different loops recently, both at Pactum and outside.

The five elements of a loop from How to Build a Self-Improving Company with AI by Tom Blomfield at YC: Sense: Capture real-world signals, e.g. a customer cancels.

Doing something new is hard.

In May 2025 I gave the opening keynote at Nordic Testing Days in Tallinn.

I joined Veriff as its first ML engineer, and almost immediately we realised we needed to scale up the AI effort very fast.

For the last couple of weeks I've been using Claude as a thinking partner.

People worry that if AI keeps improving, there will be nothing impressive left for humans to do.

Identity, payments, and accountability online have never really been solved.

Estonia announced it will give AI agents digital IDs, and people are kind of skeptical and negative about it.

I recently used Claude to do the annual report for my holding company.

One more thing that's annoying when using AI as a coach: any amount of reasoning tokens will make me switch away.

Can you build an AI coach?

In May 2026 I sat on a panel at Latitude59 in Tallinn called "AI in Your Org: What to Automate, What to Keep Human", with the chief of staff at Hostinger and a co-founder of Sera Leads.

Quick answer: first check how the GitHub repository packages the skill.

Every product team building with AI faces the same question: where does the AI interaction go?

When I read about the Software Factory concept from StrongDM AI, I was intrigued.