The Youthwork.AI project was designed to equip youth workers with the practical knowledge and skills needed to integrate AI tools into their professional practice effectively and responsibly. The core problem it set out to address was a clear and growing gap in AI literacy across the youth work sector, at a time when these tools were becoming increasingly relevant to how organisations create content, communicate, and engage with young people. Many youth workers were aware that AI existed and that it was changing things, but had no structured opportunity to actually learn how to use it, evaluate it critically, or apply it in ways that made sense for their specific work. The project aimed to change that. The starting point was the reality that most youth organisations, particularly smaller NGOs, operate with limited resources and rely heavily on the skills of their staff to produce content, run programmes, and maintain a presence that connects with young people. Skills like graphic design, video production, content writing, and social media management are often either outsourced at significant cost or simply not done to the standard organisations would like. AI tools have the potential to change that equation significantly, but only if the people doing the work actually know how to use them. That practical gap was what the project was built around. The project pursued eight specific objectives that together covered the full picture of what it means to genuinely integrate AI into youth work practice: -Providing foundational knowledge of AI concepts and platforms, including how large language models work, what their real limitations are, and how to evaluate and compare different tools -Fostering ethical AI use by addressing concerns around bias, data privacy, and responsible application, and giving participants frameworks for thinking through these questions in their own professional contexts -Empowering participants to use AI creatively for content creation, covering a wide range of formats including images, videos, audio materials, written content, and podcast style outputs -Training youth workers to use AI to reduce barriers to inclusion, through multilingual content creation, text to speech applications, captioning tools, and accessible content design -Developing skills for integrating AI into daily work tasks like workshop planning, drafting communications, and organising resources, so that AI becomes a practical habit rather than a separate technical exercise -Facilitating the creation of a collaborative toolkit combining structured educational content with real outputs from participants across six countries, freely available to the wider youth work sector -Building a network of digitally competent youth workers across partner countries who could continue learning from and supporting each other after the project ended -Inspiring long term adoption by giving participants transferable skills around prompt engineering and platform evaluation that would remain relevant as the technology keeps evolving, rather than knowledge tied to specific tools that may change From the start, one of the concrete planned outcomes of the project was a publicly available toolkit that would outlast the mobility itself. The idea was that the knowledge and outputs developed during the training week should not stay within the group but should be packaged into something the wider youth work sector could access and use. The toolkit at youthworkai.pages.dev was that outcome, covering six sections from foundational AI understanding through to ethics and a practical tools directory, built from the collective work of participants and facilitators across the project week and designed to function as a standalone resource for anyone in the sector looking to get started with AI in their work. Beyond the individual objectives, the project had a broader ambition. Youth workers who can confidently use AI tools, explain them to young people, and apply them responsibly are better equipped across the board. They can produce better resources, reach more diverse audiences, work more efficiently, and engage young people in ways that feel relevant to how those young people actually live. The project was built on the belief that closing the AI literacy gap in youth work is not just a technical question but a question of equity, inclusion, and the sector's ability to stay relevant and effective.