> For the complete documentation index, see [llms.txt](https://nikidigitals.gitbook.io/nikidigitals-portfolio/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://nikidigitals.gitbook.io/nikidigitals-portfolio/welcome.md). # Welcome Welcome to the NikiDigitals Portfolio. This portfolio brings together completed projects, case studies, research, and professional work across artificial intelligence, finance, governance, forensics, business analysis, and enterprise systems. The NikiDigitals ecosystem is organised across four complementary platforms: ### Website The website serves as the public entry point to NikiDigitals, providing an overview of current work, projects, and initiatives. ### GitBook This GitBook serves as the thinking layer of the portfolio. Here you will find project case studies, methodologies, findings, recommendations, and the reasoning behind completed work. ### GitHub GitHub serves as the technical layer of the portfolio. Technical artefacts, including notebooks, datasets, reports, presentations, source code, and supporting documentation, are maintained there. ### LinkedIn LinkedIn serves as the professional networking and communication layer, providing updates, insights, and connections to the wider professional community. *** Together, these platforms provide a complete view of the work documented throughout NikiDigitals: the ideas behind it, the technical implementation, and the professional context in which it was developed. Thank you for visiting and exploring the portfolio. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://nikidigitals.gitbook.io/nikidigitals-portfolio/welcome.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.