Takeaways from the first Women in AI Prague meetup

Six things from the first gathering — and why they matter for women who are just starting with AI.

Why this meetup started

Women in AI Prague started from a simple need: to have a space where women talk about AI practically and without hype. Not a contest of who knows more tools, but a place to ask, share and compare how other women actually use AI.

The first meetup worked. A full room, 82 registrations, 50 attendees in person and feedback that was clear — we want to continue.

1 — AI changes the role, not just the tools

Denisa Hrubešová, CEO of Forendors, talked about how vibe coding changed her actual role at work. Instead of waiting for technical implementation, she became an orchestrator — someone who can quickly move an idea into a first working version.

The point is not to learn one app. The point is that your role can change too.

2 — The best prompt often comes through an intermediate step

You do not need a perfect brief. Several women described the same workflow: dictate a raw idea, for example through Whisper, have it translated into a clearer prompt and ask for three to five variants. Then choose and iterate.

“I do not know exactly what I want — help me figure it out” is a completely legitimate starting point.

3 — FOMO is not solved by reading more sources

Denisa’s Trafikanté agent is not another feed. It is a personal filter connected to her context, sending only what is relevant several times a day and explaining why. The answer to information chaos is not more tracking, but a better filter.

4 — Agents need iteration and oversight

“Shit in, shit out.” An agent is not finished when you launch it. One participant described how, after three months, her agent started linking to articles that did not exist. The more an agent presents itself as an expert, the more important source checks and clear boundaries become.

5 — Human contact did not disappear, it shifted

An interesting takeaway: since vibe coding, women talk more, not less. We ask fewer basic process questions and share more experience, judgment and boundaries. That is exactly what the community is for.

6 — Safe adoption starts with data, not prompts

A key correction came from the audience: before you solve a use case, solve how your data is classified and who has access to what. That also includes copyright around AI outputs. Without order in data, AI only amplifies existing chaos.

What this means for the next meetups

The direction from feedback is clear: automation and agents, practical workflows and a personal AI assistant resonated the most. Most people also want a regular offline meetup, possibly hands-on workshops and smaller topic groups.

That is exactly how we are preparing the next program. If you want to get the invite early, join the newsletter.