Typeform: What happened?

There’s a pattern I’ve observed repeatedly in recent strategy calls with startups: AI agents are quietly replacing the traditional data collection process. And they’re doing it better. Faster. With more context.

The old “form” — even when it was beautifully designed — is starting to feel like a relic. In contrast, agents with memory, intent, and conversation feel alive. They gather structured data while maintaining a collaborative tone, rather than a clinical one.

When I first built internal tools for onboarding or idea capture, I was obsessed with forms. Typeform was my go-to. It felt elegant. Polished. A smarter alternative to Google Forms. I even remember thinking, “This is how forms should feel.”

Years later, I found myself tearing apart the tech stack from a failed startup. We’d built internal tools from scratch — months spent on React components, validation flows, dynamic logic, and even conditional routing. What hit me was this: a tight Typeform + API integration could have replaced all of it. That moment sparked a journey.

In the fall of 2022. In November, I flew to San Francisco for the GitHub Universe conference. The trip was a mental escape. In October, the wheels had come off the startup wagon for Meenta.io. As the CTO and co-founder, it was my responsibility to educate over 30 investors. I had to explain why the company has sent very misleading updates over the past twelve months.

These were not fun calls. I believe I made over 70+ calls between October 14th and December 22nd to bring investors up to speed. These calls and the time with the Github Startup teams primed my focus on low-code.

So in a low-rent hotel room in the Tenderloin area, I started mapping what I had built and what I could have not built.

I started to look for solutions that could have replaced entire blocks of work from the now-dead roadmap. I started mapping and scoring low-code tools — not just by features, but by fit:

And back then, Typeform scored high. Super high. Too high. With a short review of the documentation, I realized I could have built our entire diagnostic health workflow in Typeform.

After 300+ solutions, the low-code cookbook has grown significantly.

So recently, I returned. It should’ve felt like a reunion. Instead, it felt like a time warp.

Everything that had once felt smart now felt… slow. Manual. Flat. The experience lacked the contextual awareness that AI tools (like Bolt.new or Replit’s AI helpers) make feel effortless.

The worst moment was trying Typeform’s new AI assistant. I had hoped for contextual form generation, maybe even live refinement based on my use case. What I got felt like a checkbox product. It missed the mark entirely — no intuition, no adaptation.

Just a forced interaction with a shallow script.

Here’s the hard truth:

When founders now talk about onboarding flows, data intake, or ideation capture, I tell them: “Forget forms. Think flows. Think conversations. Think context.”

AI agents are the new input layer. And they’re not coming — they’re already here.

Typeform and Google Forms might remain in the cookbook as viable form-building solutions, but perhaps in a less prominent role.

Vibe code a form. It only takes a few seconds. Then, integrate with Supabase or a Google Spreadsheet. One small edge function and you have a fantastic user experience. Live in the seconds, stored in a Postgres database or in a Google Sheet. Maybe it even sends a thank-you email.

Or try out Product Dialog from the Pompeii team. This solution will break your brain. I can build a multi-modal AI-driven form (survey) with the help of an agent.

Agent-to-agent love is an addictive combination.

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