About this site
About & Credits
Who is behind this site and the creators whose work informed its development.
About this site
Who is behind this site and the creators whose work informed its development.
I'm Daniel, a Public Health Medicine specialist from Malta, and I built this website because all of a sudden... I found that I could. Over the past weeks I have been exploring how agentic AI tools can be made genuinely useful for public health practitioners like myself who have no coding or programming background.
With no coding experience whatsoever, it took me a couple of hours to create this website using Claude Cowork, and a few more to flesh it out, make edits and publish online. I couldn't have imagined being able to do all that just a few months ago.
The resource repository is at the heart of this site, along with the setup guides and use case walkthroughs. The aim throughout has been to make these tools accessible to practitioners who might otherwise be put off by the (ever-decreasing) technical barriers — and to show what becomes possible when the tools are set up properly and used with professional intent.
This is a practical guide, not an academic resource, and it is not affiliated with any AI company. It is also very much a work in progress and is certainly not perfect; the information and guidance provided is simply a reflection of how agentic AI works for me.
If you find this resource useful, you may wish to support it through a small tip to contribute to website hosting costs and support keeping the guides updated and the repository growing.
Questions or suggestions? Send me an email.
The knowledge that went into this site — particularly into the setup guides, personalisation approaches, and understanding of how agentic AI tools work in practice — was drawn from a wide range of online sources. These include written documentation, community discussions, and a substantial number of YouTube videos produced by independent content creators who have done the work of making AI accessible to non-technical audiences.
The creators listed below, in no particular order, were particularly valuable in that learning process. Their videos and resources were the starting point for much of what appears in the setup guides and use cases on this site, adapted here specifically for public health professionals and the kinds of tasks they face.
If you are interested in going deeper on any of the tools or approaches covered here, their channels are well worth exploring.
AI tools and product thinking for founders and builders
Ruben's writing on positioning and communicating AI tools for professional audiences, and how to think about AI as a product feature rather than a product itself, directly informed the framing of this site.
Read →AI tools and software, accessible to everyone
Paul has built one of the most practical and comprehensive YouTube channels on AI tools, with detailed guides on Claude, ChatGPT, Gemini, and automation. His work on Claude Cowork in particular, including what he describes as a full working system built around it, was directly useful in developing the Claude Cowork setup guide on this site.
Visit channel →AI for Non Techies
Brock's channel is built around a simple and important premise: that AI tools are not only for technical users. His videos are practical, clearly explained, and aimed at people who want to use AI in their daily work without needing to understand how it works under the hood. His approach also informed the framing of this site.
Visit channel →AI systems and workflows for non-technical users
This channel focuses on building AI-ready workflows and knowledge systems, particularly how to organise your working context so that AI tools can be genuinely effective. The thinking behind the personalisation files (ABOUT ME.md, WRITING RULES.md, MEMORY.md) draws on this kind of systems approach to working with AI.
Visit channel →Building better and faster with AI
This channel focuses on how top builders are using AI to work 10x better, faster, and more effectively. Its practical, project-based approach to demonstrating what is possible with agentic AI was a useful reference in developing the use cases on this site.
Visit channel →The content on this site represents an adaptation of publicly available knowledge, applied to a specific professional context. Where frameworks or methods are drawn from published sources, those sources are credited above. Where guidance is derived from online videos and tutorials, the creators are acknowledged in the credits section above.
This site is not affiliated with Anthropic, OpenAI, Google, or any other AI company. Mentions of specific products are for practical guidance only.
If you believe something on this site should be attributed differently, please get in touch via email.