> For the complete documentation index, see [llms.txt](https://enterprise.triz-ri.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://enterprise.triz-ri.com/news.md). # News The 'TRIZ-RI' Group is commencing the publication of its materials in English. We aim to gradually make available all our valuable earlier sources on management, the "Smart Salary" system, design, and the improvement of business processes, alongside publishing a wealth of new, useful, and interesting information. Furthermore, we will publish quality materials on both classical TRIZ and its applications in information technology, coding, and maths, which have not yet been known to the general public. Beyond the popular work already known, dedicated to ideal data architecture, you will discover much more that is new and not obvious. Should it be required, access to one or another of our repositories on GitHub will be provided. Thanks to artificial intelligence, it will be possible not only to read the publications directly, but also to simply pose questions to AI, which will respond using all our materials uploaded here, thus enabling interaction with all articles and examples simultaneously. And, although the sources will be in English, it will communicate with you in the language in which you addressed it. This will gradually become accessible in two ways: through direct interaction with artificial intelligence on the website and via separate GPT services, links to which will be provided in due course (access to Chat GPT-4 is required for this). We are also gradually developing a modern "Inventing Machine" (with much already accomplished), which, in our times, might not surprise, but we’ll try. On the TRIZ+IT side, apart from AI that employs neural networks, we plan to demonstrate a solution based on a formal algorithm - a software library that accepts prompts in JSON format as input and generates any programme in Python (from discount calculators to music, etc.) in RAM and executes it. Thus, there will be no need to store, maintain, or understand the program code (simply keep your prompts). This work is still at an early stage, although significant results have already been obtained. However, the principles of TRIZ themselves are more valuable when applied to such topics, so even the examples, descriptions, and methods themselves will enable innovators to create their own products. Those who prefer non-digital inventive tasks will also find something to their liking. Welcome to the band! --- # 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://enterprise.triz-ri.com/news.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.