I suggest you learn the difference between the AI platforms. Some are good at mathematical problems and those requiring precision. Some are good at writing. Some are good at human interaction. Some are good as search engines.
At this point, I don't think there is any single AI platform available to the public for free that is good at all the above.
Here's a comment from Amazon Web Services that speaks to your problem with AI:
You can think of the Large Language Model as an over-enthusiastic new employee who refuses to stay informed with current events but will always answer every question with absolute confidence. Unfortunately, such an attitude can negatively impact user trust and is not something you want your chatbots to emulate!RAG is something we all need to understand because it is not only something that works for proprietary information inside a company or institution, it is also something that will be used to make general AI platforms more accurate and responsive to the public at large.RAG [Retrieval Augmented Generation] is one approach to solving some of these challenges. It redirects the LLM to retrieve relevant information from authoritative, pre-determined knowledge sources. Organizations have greater control over the generated text output, and users gain insights into how the LLM generates the response. Source: Amazon Web Services
I am trying to figure out how to develop my own RAG system to use with publicly available AI platforms. I am just getting started but it looks promising.
Likely as determined by the likes of Google, which in my experiences often refuses to provide the best sources if a conservative answer is the issue. Often, it provides results for questions it presumes you should be asking, vs. what you did.
IE - the good cop