AI Simplified for all

Getting average answers from AI? The problem is usually not the tool. It is how we ask. Most people tell me they have tried AI, but the answers they got were not that useful. In many cases, the issue is not the tool or the technology. It is how we ask the question. The good news is that a few small changes can make a big difference to the quality of the answers we get. We are used to search engines For years, search engines have trained us to work in a certain way. We type a few keywords, the search engine returns a long list of results, and we pick the most useful one ourselves. That works well for search, so it is natural to use AI the same way. But AI works differently. AI gives one answer, so it needs context Instead of a list of links, AI gives us a single, direct answer. To get that answer right, it needs to understand exactly what we are asking for. If we give it a keyword or a short, incomplete phrase, it has to guess. Who is this for? What matters most? How long should it be? ...

  Using AI well starts with knowing where it helps and where it does not. In my last post, I wrote about how we ask AI questions. The next step is knowing which tasks to give it in the first place. AI is very capable in some areas and unreliable in others. Knowing the difference saves time and avoids mistakes. Where AI is strong AI is good at working with language and information we give it. In practice, that means: •          Drafting: first versions of emails, reports, proposals and presentations. •          Summarising: turning long documents or meeting notes into key points. •          Restructuring: reorganising rough notes into a clear format, such as actions, risks or decisions. •          Explaining: making a complex topic easier to understand, at the level we need. These tasks share something in ...