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Blog | Women in AI Prague

Insights from Women in AI Prague meetups, AI workflows and practical community notes.

What came up at the first Women in AI Prague meetup
6 min · 2026-06-01

What came up at the first Women in AI Prague meetup

Six practical ideas from the discussion about AI workflows, tools and how to start without unnecessary pressure.

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AI Adoption Does Not Start With a Tool. It Starts With a Work Mode
4 min · 2026-06-11

AI Adoption Does Not Start With a Tool. It Starts With a Work Mode

A practical look at AI adoption in companies: why introducing a tool is not enough and what has to change in briefing, testing and decision-making.

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Trafikante: A Personal AI Filter Against Information Noise
4 min · 2026-06-11

Trafikante: A Personal AI Filter Against Information Noise

A practical example of an AI agent that filters sources, evaluates relevance and sends briefings based on work context.

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Dashboards as a Dialogue With Data
4 min · 2026-06-11

Dashboards as a Dialogue With Data

How internal AI dashboards help marketing and business connect data, find patterns and make better decisions.

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Safe AI Adoption Starts With Data Discipline
4 min · 2026-06-11

Safe AI Adoption Starts With Data Discipline

Why AI adoption is not only about a tool and a prompt. A practical frame for data, access rights, privacy and output review.

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Vibe Coding as a Bridge Between Idea and Prototype
4 min · 2026-06-11

Vibe Coding as a Bridge Between Idea and Prototype

A practical look at vibe coding: how it helps product and business teams prepare options, clarify briefs and work better with development.

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An AI Content System: How Not to Lose Your Voice
4 min · 2026-06-11

An AI Content System: How Not to Lose Your Voice

How to set up AI for content creation so it helps with outlines, preparation and repurposing without damaging brand voice or reputational context.

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What AI Should Do, and What Must Stay With Humans
4 min · 2026-06-11

What AI Should Do, and What Must Stay With Humans

A practical framework for leaders: what AI can prepare, what humans need to review and who carries responsibility in AI workflows.

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